2026-06-30 18:47:08,175 - ERROR - Pipeline failed: 'NoneType' object is not callable
Traceback (most recent call last):
  File "/home/nschense/Documents/Medphys_Research/alnn_rewrite/main.py", line 227, in run_background_pipeline
    task_func(self.update_progress, config)
    ~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
TypeError: 'NoneType' object is not callable
2026-06-30 18:47:12,955 - ERROR - Pipeline failed: 'NoneType' object is not callable
Traceback (most recent call last):
  File "/home/nschense/Documents/Medphys_Research/alnn_rewrite/main.py", line 227, in run_background_pipeline
    task_func(self.update_progress, config)
    ~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
TypeError: 'NoneType' object is not callable
2026-06-30 18:54:45,258 - ERROR - Pipeline failed: 'NoneType' object is not callable
Traceback (most recent call last):
  File "/home/nschense/Documents/Medphys_Research/alnn_rewrite/main.py", line 227, in run_background_pipeline
    task_func(self.update_progress, config)
    ~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
TypeError: 'NoneType' object is not callable
2026-06-30 19:08:20,961 - ERROR - Pipeline failed: App is not running
Traceback (most recent call last):
  File "/home/nschense/Documents/Medphys_Research/alnn_rewrite/main.py", line 332, in run_background_pipeline
    task_func(self.update_progress, config, pipeline_state)
    ~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/nschense/Documents/Medphys_Research/alnn_rewrite/main.py", line 66, in dummy_task
    progress_callback(advance=1)
    ~~~~~~~~~~~~~~~~~^^^^^^^^^^^
  File "/home/nschense/Documents/Medphys_Research/alnn_rewrite/main.py", line 381, in update_progress
    self.call_from_thread(_update)
    ~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^
  File "/home/nschense/Documents/Medphys_Research/alnn_rewrite/.venv/lib64/python3.14/site-packages/textual/app.py", line 1819, in call_from_thread
    raise RuntimeError("App is not running")
RuntimeError: App is not running
2026-06-30 19:18:14,215 - WARNING - Pipeline Interrupted: Pipeline execution stopped by user.
2026-06-30 19:22:46,181 - WARNING - Pipeline Interrupted: Pipeline execution stopped by user.
2026-06-30 21:49:24,173 - WARNING - Pipeline Interrupted: Pipeline execution stopped by user.
2026-06-30 21:58:23,232 - WARNING - Pipeline Interrupted: Pipeline execution stopped by user.
2026-06-30 22:02:17,566 - WARNING - Pipeline Interrupted: Pipeline execution stopped by user.
2026-06-30 22:02:24,454 - WARNING - Pipeline Interrupted: Pipeline execution stopped by user.
2026-06-30 22:05:28,118 - WARNING - Pipeline Interrupted: Pipeline execution stopped by user.
2026-06-30 22:06:52,271 - WARNING - Pipeline Interrupted: Pipeline execution stopped by user.
2026-06-30 22:07:09,800 - WARNING - Pipeline Interrupted: Pipeline execution stopped by user.
2026-06-30 22:07:16,120 - WARNING - Pipeline Interrupted: Pipeline execution stopped by user.
2026-06-30 22:07:25,317 - WARNING - Pipeline Interrupted: Pipeline execution stopped by user.
2026-06-30 22:08:39,971 - WARNING - Pipeline Interrupted: Pipeline execution stopped by user.
2026-06-30 22:08:44,617 - WARNING - Pipeline Interrupted: Pipeline execution stopped by user.
2026-06-30 22:09:01,476 - WARNING - Pipeline Interrupted: Pipeline execution stopped by user.
2026-06-30 22:09:52,766 - WARNING - Pipeline Interrupted: Pipeline execution stopped by user.
2026-06-30 22:14:38,011 - WARNING - Pipeline Interrupted: Pipeline execution stopped by user.
2026-06-30 22:15:31,941 - WARNING - Pipeline Interrupted: Pipeline execution stopped by user.
2026-06-30 22:19:35,748 - WARNING - Pipeline Interrupted: Pipeline execution stopped by user.
2026-06-30 22:25:58,294 - WARNING - Pipeline Interrupted: Pipeline execution stopped by user.
2026-06-30 22:26:28,903 - WARNING - Pipeline Interrupted: Pipeline execution stopped by user while paused.
2026-06-30 22:37:54,542 - WARNING - Pipeline Interrupted: Pipeline execution stopped by user while paused.
2026-06-30 22:38:05,493 - WARNING - Pipeline Interrupted: Pipeline execution stopped by user while paused.
2026-06-30 23:00:47,768 - WARNING - Pipeline Interrupted: Pipeline execution stopped by user.
2026-06-30 23:09:29,204 - INFO - [SYSTEM] Application initialized and ready.
2026-06-30 23:13:16,084 - INFO - [SYSTEM] Application initialized and ready.
2026-06-30 23:13:17,733 - ERROR - [SYSTEM] No scenario selected! Please select a scenario from the dropdown.
2026-06-30 23:13:20,804 - INFO - [SYSTEM] Initiating Scenario: 2. Load, Evaluate, & Noise Analysis
2026-06-30 23:13:20,805 - INFO - [SYSTEM] Configuration saved to ./outputs/default/config.toml
2026-06-30 23:13:20,807 - INFO - [SYSTEM] Starting Task 1/3: Load Image and ADNIMERGE
2026-06-30 23:13:20,807 - ERROR - Pipeline failed: 'log'
Traceback (most recent call last):
  File "/home/nschense/Documents/Medphys_Research/alnn_rewrite/main.py", line 293, in run_background_pipeline
    task_func(task_tracker, config, pipeline_state)
    ~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/nschense/Documents/Medphys_Research/alnn_rewrite/util/tasks.py", line 10, in dummy_task
    log = state["log"]
          ~~~~~^^^^^^^
KeyError: 'log'
2026-06-30 23:13:20,808 - ERROR - [SYSTEM] ERROR: 'log'
2026-06-30 23:13:33,900 - INFO - [SYSTEM] Initiating Scenario: 2. Load, Evaluate, & Noise Analysis
2026-06-30 23:13:33,901 - INFO - [SYSTEM] Configuration saved to ./outputs/default/config.toml
2026-06-30 23:13:33,903 - INFO - [SYSTEM] Starting Task 1/3: Load Image and ADNIMERGE
2026-06-30 23:13:33,904 - ERROR - Pipeline failed: 'log'
Traceback (most recent call last):
  File "/home/nschense/Documents/Medphys_Research/alnn_rewrite/main.py", line 293, in run_background_pipeline
    task_func(task_tracker, config, pipeline_state)
    ~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/nschense/Documents/Medphys_Research/alnn_rewrite/util/tasks.py", line 10, in dummy_task
    log = state["log"]
          ~~~~~^^^^^^^
KeyError: 'log'
2026-06-30 23:13:33,904 - ERROR - [SYSTEM] ERROR: 'log'
2026-06-30 23:13:38,868 - INFO - [SYSTEM] Initiating Scenario: 1. Train, Evaluate, & Noise Analysis
2026-06-30 23:13:38,869 - INFO - [SYSTEM] Configuration saved to ./outputs/default/config.toml
2026-06-30 23:13:38,871 - INFO - [SYSTEM] Starting Task 1/5: Load Image and ADNIMERGE
2026-06-30 23:13:38,872 - ERROR - Pipeline failed: 'log'
Traceback (most recent call last):
  File "/home/nschense/Documents/Medphys_Research/alnn_rewrite/main.py", line 293, in run_background_pipeline
    task_func(task_tracker, config, pipeline_state)
    ~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/nschense/Documents/Medphys_Research/alnn_rewrite/util/tasks.py", line 10, in dummy_task
    log = state["log"]
          ~~~~~^^^^^^^
KeyError: 'log'
2026-06-30 23:13:38,872 - ERROR - [SYSTEM] ERROR: 'log'
2026-06-30 23:15:39,501 - INFO - [SYSTEM] Application initialized and ready.
2026-06-30 23:15:42,574 - INFO - [SYSTEM] Initiating Scenario: 1. Train, Evaluate, & Noise Analysis
2026-06-30 23:15:42,574 - INFO - [SYSTEM] Configuration saved to ./outputs/default/config.toml
2026-06-30 23:15:42,576 - INFO - [SYSTEM] Starting Task 1/5: Load Image and ADNIMERGE
2026-06-30 23:15:42,577 - INFO - [Load Image and ADNIMERGE] Initializing process...
2026-06-30 23:15:44,200 - INFO - [Load Image and ADNIMERGE] Halfway through current task execution...
2026-06-30 23:15:45,290 - INFO - [Load Image and ADNIMERGE] Task completed.
2026-06-30 23:15:45,300 - INFO - [SYSTEM] Starting Task 2/5: Train Regular Models
2026-06-30 23:15:45,302 - INFO - [Train Regular Models] Initializing process...
2026-06-30 23:15:46,918 - INFO - [Train Regular Models] Halfway through current task execution...
2026-06-30 23:15:48,003 - INFO - [Train Regular Models] Task completed.
2026-06-30 23:15:48,004 - INFO - [SYSTEM] Starting Task 3/5: Train Bayesian Models
2026-06-30 23:15:48,005 - INFO - [Train Bayesian Models] Initializing process...
2026-06-30 23:15:49,636 - INFO - [Train Bayesian Models] Halfway through current task execution...
2026-06-30 23:15:50,716 - INFO - [Train Bayesian Models] Task completed.
2026-06-30 23:15:50,718 - INFO - [SYSTEM] Starting Task 4/5: Evaluate Regular Models
2026-06-30 23:15:50,719 - INFO - [Evaluate Regular Models] Initializing process...
2026-06-30 23:15:52,346 - INFO - [Evaluate Regular Models] Halfway through current task execution...
2026-06-30 23:15:53,414 - INFO - [Evaluate Regular Models] Task completed.
2026-06-30 23:15:53,416 - INFO - [SYSTEM] Starting Task 5/5: Evaluate Bayesian Models
2026-06-30 23:15:53,417 - INFO - [Evaluate Bayesian Models] Initializing process...
2026-06-30 23:15:53,671 - ERROR - [SYSTEM] Stop requested! Terminating gracefully...
2026-06-30 23:15:53,685 - ERROR - [SYSTEM] STOPPED: Pipeline execution stopped by user.
2026-07-07 20:54:06,351 - INFO - [SYSTEM] Application initialized and ready.
2026-07-07 20:54:46,133 - INFO - [SYSTEM] Application initialized and ready.
2026-07-07 21:01:54,340 - INFO - [SYSTEM] Application initialized and ready.
2026-07-07 21:03:07,022 - INFO - [SYSTEM] Copied default config to ./outputs/test1/config.toml. Ready for editing!
2026-07-07 21:04:00,870 - INFO - [SYSTEM] Successfully loaded config from ./outputs/test1/config.toml
2026-07-07 21:23:28,025 - INFO - [SYSTEM] Application initialized and ready.
2026-07-07 21:23:35,938 - INFO - [SYSTEM] Copied default config to ./outputs/exp1/config.toml. Ready for editing!
2026-07-07 21:23:42,961 - ERROR - [SYSTEM] Invalid or missing scenario 'None' in config.toml!
2026-07-07 21:56:46,299 - INFO - [SYSTEM] Application initialized and ready.
2026-07-07 21:57:01,122 - INFO - [SYSTEM] Copied default config to ./outputs/exp1/config.toml. Ready for editing!
2026-07-07 21:57:09,504 - INFO - [SYSTEM] Initiating Scenario: 1. Train, Evaluate, & Noise Analysis
2026-07-07 21:57:09,515 - INFO - [SYSTEM] Starting Task 1/5: Load Image and ADNIMERGE
2026-07-07 21:57:09,516 - INFO - [Load Image and ADNIMERGE] Loading Files
2026-07-07 21:57:09,517 - ERROR - Pipeline failed: [Errno 2] No such file or directory: 'LP_ADNIMERGE.csv'
Traceback (most recent call last):
  File "/home/nschense/Documents/Medphys_Research/alnn_rewrite/main.py", line 254, in run_background_pipeline
    task_func(task_tracker, task_logger, config, pipeline_state)
    ~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/nschense/Documents/Medphys_Research/alnn_rewrite/tasks/load_data.py", line 22, in load_data_task
    dataset = ds.load_adni_data_from_file(
        mri_files,
    ...<2 lines>...
        xls_preprocessor=ds.xls_pre,
    )
  File "/home/nschense/Documents/Medphys_Research/alnn_rewrite/model/dataset.py", line 118, in load_adni_data_from_file
    xls_values = xls_preprocessor(pd.read_csv(xls_file))  # type: ignore
                                  ~~~~~~~~~~~^^^^^^^^^^
  File "/home/nschense/Documents/Medphys_Research/alnn_rewrite/.venv/lib64/python3.14/site-packages/pandas/io/parsers/readers.py", line 873, in read_csv
    return _read(filepath_or_buffer, kwds)
  File "/home/nschense/Documents/Medphys_Research/alnn_rewrite/.venv/lib64/python3.14/site-packages/pandas/io/parsers/readers.py", line 300, in _read
    parser = TextFileReader(filepath_or_buffer, **kwds)
  File "/home/nschense/Documents/Medphys_Research/alnn_rewrite/.venv/lib64/python3.14/site-packages/pandas/io/parsers/readers.py", line 1645, in __init__
    self._engine = self._make_engine(f, self.engine)
                   ~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^
  File "/home/nschense/Documents/Medphys_Research/alnn_rewrite/.venv/lib64/python3.14/site-packages/pandas/io/parsers/readers.py", line 1904, in _make_engine
    self.handles = get_handle(
                   ~~~~~~~~~~^
        f,
        ^^
    ...<6 lines>...
        storage_options=self.options.get("storage_options", None),
        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
    )
    ^
  File "/home/nschense/Documents/Medphys_Research/alnn_rewrite/.venv/lib64/python3.14/site-packages/pandas/io/common.py", line 930, in get_handle
    handle = open(
        handle,
    ...<3 lines>...
        newline="",
    )
FileNotFoundError: [Errno 2] No such file or directory: 'LP_ADNIMERGE.csv'
2026-07-07 21:57:09,518 - ERROR - [SYSTEM] ERROR: [Errno 2] No such file or directory: 'LP_ADNIMERGE.csv'
2026-07-07 21:57:20,610 - ERROR - [SYSTEM] Pipeline start cancelled by user (folder non-empty).
2026-07-07 21:58:55,263 - INFO - [SYSTEM] Application initialized and ready.
2026-07-07 21:59:21,987 - INFO - [SYSTEM] Application initialized and ready.
2026-07-07 21:59:23,885 - ERROR - [SYSTEM] Please specify a working directory.
2026-07-07 21:59:29,273 - INFO - [SYSTEM] Copied default config to ./outputs/exp1/config.toml. Ready for editing!
2026-07-07 21:59:30,989 - INFO - [SYSTEM] Initiating Scenario: 1. Train, Evaluate, & Noise Analysis
2026-07-07 21:59:30,992 - INFO - [SYSTEM] Starting Task 1/5: Load Image and ADNIMERGE
2026-07-07 21:59:30,993 - INFO - [Load Image and ADNIMERGE] Loading Files
2026-07-07 21:59:30,993 - ERROR - Pipeline failed: [Errno 2] No such file or directory: 'LP_ADNIMERGE.csv'
Traceback (most recent call last):
  File "/home/nschense/Documents/Medphys_Research/alnn_rewrite/main.py", line 257, in run_background_pipeline
    task_func(task_tracker, task_logger, config, pipeline_state)
    ~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/nschense/Documents/Medphys_Research/alnn_rewrite/tasks/load_data.py", line 22, in load_data_task
    dataset = ds.load_adni_data_from_file(
        mri_files,
    ...<2 lines>...
        xls_preprocessor=ds.xls_pre,
    )
  File "/home/nschense/Documents/Medphys_Research/alnn_rewrite/model/dataset.py", line 118, in load_adni_data_from_file
    xls_values = xls_preprocessor(pd.read_csv(xls_file))  # type: ignore
                                  ~~~~~~~~~~~^^^^^^^^^^
  File "/home/nschense/Documents/Medphys_Research/alnn_rewrite/.venv/lib64/python3.14/site-packages/pandas/io/parsers/readers.py", line 873, in read_csv
    return _read(filepath_or_buffer, kwds)
  File "/home/nschense/Documents/Medphys_Research/alnn_rewrite/.venv/lib64/python3.14/site-packages/pandas/io/parsers/readers.py", line 300, in _read
    parser = TextFileReader(filepath_or_buffer, **kwds)
  File "/home/nschense/Documents/Medphys_Research/alnn_rewrite/.venv/lib64/python3.14/site-packages/pandas/io/parsers/readers.py", line 1645, in __init__
    self._engine = self._make_engine(f, self.engine)
                   ~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^
  File "/home/nschense/Documents/Medphys_Research/alnn_rewrite/.venv/lib64/python3.14/site-packages/pandas/io/parsers/readers.py", line 1904, in _make_engine
    self.handles = get_handle(
                   ~~~~~~~~~~^
        f,
        ^^
    ...<6 lines>...
        storage_options=self.options.get("storage_options", None),
        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
    )
    ^
  File "/home/nschense/Documents/Medphys_Research/alnn_rewrite/.venv/lib64/python3.14/site-packages/pandas/io/common.py", line 930, in get_handle
    handle = open(
        handle,
    ...<3 lines>...
        newline="",
    )
FileNotFoundError: [Errno 2] No such file or directory: 'LP_ADNIMERGE.csv'
2026-07-07 21:59:30,995 - ERROR - [SYSTEM] ERROR: [Errno 2] No such file or directory: 'LP_ADNIMERGE.csv'
2026-07-07 22:00:48,869 - INFO - [SYSTEM] Application initialized and ready.
2026-07-07 22:00:54,847 - INFO - [SYSTEM] Copied default config to ./outputs/exp1/config.toml. Ready for editing!
2026-07-07 22:00:56,988 - INFO - [SYSTEM] Initiating Scenario: 1. Train, Evaluate, & Noise Analysis
2026-07-07 22:00:56,991 - INFO - [SYSTEM] Starting Task 1/5: Load Image and ADNIMERGE
2026-07-07 22:00:56,992 - INFO - [Load Image and ADNIMERGE] Loading Files
2026-07-07 22:01:00,884 - INFO - [Load Image and ADNIMERGE] Dataloaders initalized
2026-07-07 22:01:00,888 - INFO - [Load Image and ADNIMERGE] Task completed.
2026-07-07 22:01:00,889 - INFO - [SYSTEM] Starting Task 2/5: Train Regular Models
2026-07-07 22:01:00,890 - INFO - [Train Regular Models] Initializing process...
2026-07-07 22:01:02,509 - INFO - [Train Regular Models] Halfway through current task execution...
2026-07-07 22:01:03,576 - INFO - [Train Regular Models] Task completed.
2026-07-07 22:01:03,577 - INFO - [SYSTEM] Starting Task 3/5: Train Bayesian Models
2026-07-07 22:01:03,578 - INFO - [Train Bayesian Models] Initializing process...
2026-07-07 22:01:04,289 - ERROR - [SYSTEM] Stop requested! Terminating gracefully...
2026-07-07 22:01:04,321 - ERROR - [SYSTEM] STOPPED: Pipeline execution stopped by user.
2026-07-07 22:40:31,759 - INFO - [SYSTEM] Application initialized and ready.
2026-07-07 22:40:40,591 - ERROR - [SYSTEM] Failed to initialize directory/config: [Errno 13] Permission denied: '/outputs'
2026-07-07 22:40:49,252 - INFO - [SYSTEM] Successfully loaded config from ./outputs/exp1/config.toml
2026-07-07 22:40:55,338 - INFO - [SYSTEM] Initiating Scenario: 1. Train, Evaluate, & Noise Analysis
2026-07-07 22:40:55,348 - INFO - [SYSTEM] Starting Task 1/5: Load Image and ADNIMERGE
2026-07-07 22:40:55,348 - INFO - [Load Image and ADNIMERGE] Loading Files
2026-07-07 22:40:58,312 - INFO - [Load Image and ADNIMERGE] Dataloaders initalized
2026-07-07 22:40:58,312 - INFO - [Load Image and ADNIMERGE] Task completed.
2026-07-07 22:40:58,314 - INFO - [SYSTEM] Starting Task 2/5: Train Regular Models
2026-07-07 22:40:58,314 - INFO - [Train Regular Models] Starting normal model training...
2026-07-07 22:40:58,315 - INFO - [Train Regular Models] Training model 1/50...
2026-07-07 22:41:14,253 - INFO - [Train Regular Models] Epoch [1/30], Train Loss: 38.0169, Val Loss: 46.0747, Train Acc: 0.5034, Val Acc: 0.5034
2026-07-07 22:41:27,881 - INFO - [Train Regular Models] Epoch [2/30], Train Loss: 29.5272, Val Loss: 41.2137, Train Acc: 0.5101, Val Acc: 0.5101
2026-07-07 22:41:30,945 - ERROR - [SYSTEM] Stop requested! Terminating gracefully...
2026-07-07 22:41:41,559 - INFO - [Train Regular Models] Epoch [3/30], Train Loss: 25.7706, Val Loss: 35.2926, Train Acc: 0.7852, Val Acc: 0.7852
2026-07-07 22:41:41,792 - INFO - [SYSTEM] Pipeline Paused. Waiting for current operation to yield...
2026-07-07 22:41:45,691 - INFO - [SYSTEM] Pipeline Resumed.
2026-07-07 22:41:50,686 - INFO - [SYSTEM] Pipeline Paused. Waiting for current operation to yield...
2026-07-07 22:41:55,302 - INFO - [Train Regular Models] Epoch [4/30], Train Loss: 24.3820, Val Loss: 38.6998, Train Acc: 0.5906, Val Acc: 0.5906
2026-07-07 22:42:09,063 - INFO - [Train Regular Models] Epoch [5/30], Train Loss: 21.6774, Val Loss: 39.5588, Train Acc: 0.6040, Val Acc: 0.6040
2026-07-07 22:42:22,836 - INFO - [Train Regular Models] Epoch [6/30], Train Loss: 20.0827, Val Loss: 41.8771, Train Acc: 0.5772, Val Acc: 0.5772
2026-07-07 22:42:36,641 - INFO - [Train Regular Models] Epoch [7/30], Train Loss: 18.2864, Val Loss: 37.1265, Train Acc: 0.5772, Val Acc: 0.5772
2026-07-07 22:42:36,744 - INFO - [Train Regular Models] Model saved at epoch 7
2026-07-07 22:42:50,611 - INFO - [Train Regular Models] Epoch [8/30], Train Loss: 18.5486, Val Loss: 39.2183, Train Acc: 0.5705, Val Acc: 0.5705
2026-07-07 22:43:04,475 - INFO - [Train Regular Models] Epoch [9/30], Train Loss: 16.0196, Val Loss: 32.6778, Train Acc: 0.6577, Val Acc: 0.6577
2026-07-07 22:43:18,348 - INFO - [Train Regular Models] Epoch [10/30], Train Loss: 15.5705, Val Loss: 31.4642, Train Acc: 0.7383, Val Acc: 0.7383
2026-07-07 22:43:32,211 - INFO - [Train Regular Models] Epoch [11/30], Train Loss: 14.0887, Val Loss: 45.1521, Train Acc: 0.5638, Val Acc: 0.5638
2026-07-07 22:45:59,606 - INFO - [SYSTEM] Application initialized and ready.
2026-07-07 22:46:09,907 - INFO - [SYSTEM] Copied default config to ./outputs/exp1/config.toml. Ready for editing!
2026-07-07 22:46:11,087 - INFO - [SYSTEM] Initiating Scenario: 1. Train, Evaluate, & Noise Analysis
2026-07-07 22:46:11,099 - INFO - [SYSTEM] Starting Task 1/5: Load Image and ADNIMERGE
2026-07-07 22:46:11,100 - INFO - [Load Image and ADNIMERGE] Loading Files
2026-07-07 22:46:13,818 - INFO - [Load Image and ADNIMERGE] Dataloaders initalized
2026-07-07 22:46:13,823 - INFO - [Load Image and ADNIMERGE] Task completed.
2026-07-07 22:46:13,824 - INFO - [SYSTEM] Starting Task 2/5: Train Regular Models
2026-07-07 22:46:13,824 - INFO - [Train Regular Models] Starting normal model training...
2026-07-07 22:46:13,825 - INFO - [Train Regular Models] Intermediate models will be saved to outputs/exp1/normal_models/intermediate_models
2026-07-07 22:46:13,826 - INFO - [Train Regular Models] Training model 1/50...
2026-07-07 22:46:28,132 - INFO - [Train Regular Models] Epoch [1/30], Train Loss: 35.8615, Val Loss: 39.1921, Train Acc: 0.5235, Val Acc: 0.5235
2026-07-07 22:46:36,897 - ERROR - [SYSTEM] Stop requested! Terminating gracefully...
2026-07-07 22:46:37,458 - ERROR - [SYSTEM] STOPPED: Pipeline execution stopped by user.
2026-07-07 22:47:11,214 - INFO - [SYSTEM] Initiating Scenario: 1. Train, Evaluate, & Noise Analysis
2026-07-07 22:47:11,217 - INFO - [SYSTEM] Starting Task 1/5: Load Image and ADNIMERGE
2026-07-07 22:47:11,217 - INFO - [Load Image and ADNIMERGE] Loading Files
2026-07-07 22:47:13,919 - INFO - [Load Image and ADNIMERGE] Dataloaders initalized
2026-07-07 22:47:13,920 - INFO - [Load Image and ADNIMERGE] Task completed.
2026-07-07 22:47:13,925 - INFO - [SYSTEM] Starting Task 2/5: Train Regular Models
2026-07-07 22:47:13,925 - INFO - [Train Regular Models] Starting normal model training...
2026-07-07 22:47:13,926 - INFO - [Train Regular Models] Intermediate models will be saved to outputs/exp1/normal_models/intermediate_models
2026-07-07 22:47:13,927 - INFO - [Train Regular Models] Training model 1/50...
2026-07-07 22:47:27,633 - INFO - [Train Regular Models] Epoch [1/30], Train Loss: 31.7686, Val Loss: 35.9996, Train Acc: 0.7852, Val Acc: 0.7852
2026-07-07 22:47:30,481 - ERROR - [SYSTEM] Stop requested! Terminating gracefully...
2026-07-07 22:47:30,735 - ERROR - [SYSTEM] STOPPED: Pipeline execution stopped by user.
2026-07-07 22:47:32,317 - INFO - [SYSTEM] Initiating Scenario: 1. Train, Evaluate, & Noise Analysis
2026-07-07 22:47:32,321 - INFO - [SYSTEM] Starting Task 1/5: Load Image and ADNIMERGE
2026-07-07 22:47:32,322 - INFO - [Load Image and ADNIMERGE] Loading Files
2026-07-07 22:47:35,102 - INFO - [Load Image and ADNIMERGE] Dataloaders initalized
2026-07-07 22:47:35,107 - INFO - [Load Image and ADNIMERGE] Task completed.
2026-07-07 22:47:35,108 - INFO - [SYSTEM] Starting Task 2/5: Train Regular Models
2026-07-07 22:47:35,109 - INFO - [Train Regular Models] Starting normal model training...
2026-07-07 22:47:35,109 - INFO - [Train Regular Models] Intermediate models will be saved to outputs/exp1/normal_models/intermediate_models
2026-07-07 22:47:35,110 - INFO - [Train Regular Models] Training model 1/50...
2026-07-07 22:47:48,903 - INFO - [Train Regular Models] Epoch [1/30], Train Loss: 35.5566, Val Loss: 51.9955, Train Acc: 0.4631, Val Acc: 0.4631
2026-07-07 22:48:02,651 - INFO - [Train Regular Models] Epoch [2/30], Train Loss: 27.3013, Val Loss: 55.1044, Train Acc: 0.4631, Val Acc: 0.4631
2026-07-07 22:48:16,422 - INFO - [Train Regular Models] Epoch [3/30], Train Loss: 21.5175, Val Loss: 51.3943, Train Acc: 0.4832, Val Acc: 0.4832
2026-07-07 22:48:30,259 - INFO - [Train Regular Models] Epoch [4/30], Train Loss: 20.9605, Val Loss: 49.0898, Train Acc: 0.5101, Val Acc: 0.5101
2026-07-07 22:48:44,110 - INFO - [Train Regular Models] Epoch [5/30], Train Loss: 18.0304, Val Loss: 46.6057, Train Acc: 0.4765, Val Acc: 0.4765
2026-07-07 22:48:57,963 - INFO - [Train Regular Models] Epoch [6/30], Train Loss: 16.3244, Val Loss: 49.9473, Train Acc: 0.4631, Val Acc: 0.4631
2026-07-07 22:49:11,819 - INFO - [Train Regular Models] Epoch [7/30], Train Loss: 15.5546, Val Loss: 53.5298, Train Acc: 0.4631, Val Acc: 0.4631
2026-07-07 22:49:11,915 - INFO - [Train Regular Models] Model saved at epoch 7
2026-07-07 22:49:25,775 - INFO - [Train Regular Models] Epoch [8/30], Train Loss: 14.0157, Val Loss: 35.8735, Train Acc: 0.6107, Val Acc: 0.6107
2026-07-07 22:49:39,632 - INFO - [Train Regular Models] Epoch [9/30], Train Loss: 12.6665, Val Loss: 32.9891, Train Acc: 0.7181, Val Acc: 0.7181
2026-07-07 22:49:53,492 - INFO - [Train Regular Models] Epoch [10/30], Train Loss: 12.5009, Val Loss: 35.4068, Train Acc: 0.6107, Val Acc: 0.6107
2026-07-07 22:50:07,350 - INFO - [Train Regular Models] Epoch [11/30], Train Loss: 10.9609, Val Loss: 29.3653, Train Acc: 0.7852, Val Acc: 0.7852
2026-07-07 22:50:21,206 - INFO - [Train Regular Models] Epoch [12/30], Train Loss: 11.1512, Val Loss: 38.1878, Train Acc: 0.5705, Val Acc: 0.5705
2026-07-07 22:50:35,064 - INFO - [Train Regular Models] Epoch [13/30], Train Loss: 9.2618, Val Loss: 30.5188, Train Acc: 0.7315, Val Acc: 0.7315
2026-07-07 22:50:48,927 - INFO - [Train Regular Models] Epoch [14/30], Train Loss: 10.1587, Val Loss: 47.8058, Train Acc: 0.5235, Val Acc: 0.5235
2026-07-07 22:50:49,018 - INFO - [Train Regular Models] Model saved at epoch 14
2026-07-07 22:51:02,881 - INFO - [Train Regular Models] Epoch [15/30], Train Loss: 8.3822, Val Loss: 35.1154, Train Acc: 0.6913, Val Acc: 0.6913
2026-07-07 22:51:16,742 - INFO - [Train Regular Models] Epoch [16/30], Train Loss: 9.1352, Val Loss: 36.4209, Train Acc: 0.5973, Val Acc: 0.5973
2026-07-07 22:51:30,606 - INFO - [Train Regular Models] Epoch [17/30], Train Loss: 8.3755, Val Loss: 45.6383, Train Acc: 0.5101, Val Acc: 0.5101
2026-07-07 22:51:44,471 - INFO - [Train Regular Models] Epoch [18/30], Train Loss: 7.2167, Val Loss: 30.6616, Train Acc: 0.7047, Val Acc: 0.7047
2026-07-07 22:51:58,333 - INFO - [Train Regular Models] Epoch [19/30], Train Loss: 7.5580, Val Loss: 34.0123, Train Acc: 0.6174, Val Acc: 0.6174
2026-07-07 22:52:12,203 - INFO - [Train Regular Models] Epoch [20/30], Train Loss: 6.0840, Val Loss: 64.6364, Train Acc: 0.4966, Val Acc: 0.4966
2026-07-07 22:52:12,253 - INFO - [SYSTEM] Application initialized and ready.
2026-07-07 22:52:26,061 - INFO - [Train Regular Models] Epoch [21/30], Train Loss: 8.6929, Val Loss: 40.2682, Train Acc: 0.5839, Val Acc: 0.5839
2026-07-07 22:52:26,150 - INFO - [Train Regular Models] Model saved at epoch 21
2026-07-07 22:52:37,622 - INFO - [SYSTEM] Copied default config to ./outputs/exp1/config.toml. Ready for editing!
2026-07-07 22:52:39,562 - INFO - [SYSTEM] Initiating Scenario: 1. Train, Evaluate, & Noise Analysis
2026-07-07 22:52:39,564 - INFO - [SYSTEM] Starting Task 1/5: Load Image and ADNIMERGE
2026-07-07 22:52:39,565 - INFO - [Load Image and ADNIMERGE] Loading Files
2026-07-07 22:52:40,028 - INFO - [Train Regular Models] Epoch [22/30], Train Loss: 6.6049, Val Loss: 37.4700, Train Acc: 0.5906, Val Acc: 0.5906
2026-07-07 22:52:42,067 - ERROR - Pipeline failed: CUDA out of memory. Tried to allocate 2.60 GiB. GPU 0 has a total capacity of 11.63 GiB of which 111.31 MiB is free. Process 139412 has 9.47 GiB memory in use. Including non-PyTorch memory, this process has 250.00 MiB memory in use. Of the allocated memory 0 bytes is allocated by PyTorch, and 0 bytes is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://docs.pytorch.org/docs/stable/notes/cuda.html#optimizing-memory-usage-with-pytorch-cuda-alloc-conf)
Traceback (most recent call last):
  File "/home/nschense/Documents/Medphys_Research/alnn_rewrite/main.py", line 252, in run_background_pipeline
    task_func(task_tracker, task_logger, config, pipeline_state)
    ~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/nschense/Documents/Medphys_Research/alnn_rewrite/tasks/load_data.py", line 22, in load_data_task
    dataset = ds.load_adni_data_from_file(
        mri_files,
    ...<2 lines>...
        xls_preprocessor=ds.xls_pre,
    )
  File "/home/nschense/Documents/Medphys_Research/alnn_rewrite/model/dataset.py", line 177, in load_adni_data_from_file
    return ADNIDataset(mri_data, xls_data, expected_classes, img_ids, device=device)
  File "/home/nschense/Documents/Medphys_Research/alnn_rewrite/model/dataset.py", line 62, in __init__
    self.mri_data = mri_data.float().to(device)
                    ~~~~~~~~~~~~~~~~~~~^^^^^^^^
torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 2.60 GiB. GPU 0 has a total capacity of 11.63 GiB of which 111.31 MiB is free. Process 139412 has 9.47 GiB memory in use. Including non-PyTorch memory, this process has 250.00 MiB memory in use. Of the allocated memory 0 bytes is allocated by PyTorch, and 0 bytes is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://docs.pytorch.org/docs/stable/notes/cuda.html#optimizing-memory-usage-with-pytorch-cuda-alloc-conf)
2026-07-07 22:52:42,068 - ERROR - [SYSTEM] ERROR: CUDA out of memory. Tried to allocate 2.60 GiB. GPU 0 has a total capacity of 11.63 GiB of which 111.31 MiB is free. Process 139412 has 9.47 GiB memory in use. Including non-PyTorch memory, this process has 250.00 MiB memory in use. Of the allocated memory 0 bytes is allocated by PyTorch, and 0 bytes is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://docs.pytorch.org/docs/stable/notes/cuda.html#optimizing-memory-usage-with-pytorch-cuda-alloc-conf)
2026-07-07 22:52:53,931 - INFO - [Train Regular Models] Epoch [23/30], Train Loss: 6.0106, Val Loss: 30.1979, Train Acc: 0.7315, Val Acc: 0.7315
2026-07-07 22:52:57,540 - INFO - [SYSTEM] Initiating Scenario: 1. Train, Evaluate, & Noise Analysis
2026-07-07 22:52:57,542 - INFO - [SYSTEM] Starting Task 1/5: Load Image and ADNIMERGE
2026-07-07 22:52:57,543 - INFO - [Load Image and ADNIMERGE] Loading Files
2026-07-07 22:53:00,126 - ERROR - Pipeline failed: CUDA out of memory. Tried to allocate 2.60 GiB. GPU 0 has a total capacity of 11.63 GiB of which 111.31 MiB is free. Process 139412 has 9.47 GiB memory in use. Including non-PyTorch memory, this process has 250.00 MiB memory in use. Of the allocated memory 0 bytes is allocated by PyTorch, and 0 bytes is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://docs.pytorch.org/docs/stable/notes/cuda.html#optimizing-memory-usage-with-pytorch-cuda-alloc-conf)
Traceback (most recent call last):
  File "/home/nschense/Documents/Medphys_Research/alnn_rewrite/main.py", line 252, in run_background_pipeline
    task_func(task_tracker, task_logger, config, pipeline_state)
    ~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/nschense/Documents/Medphys_Research/alnn_rewrite/tasks/load_data.py", line 22, in load_data_task
    dataset = ds.load_adni_data_from_file(
        mri_files,
    ...<2 lines>...
        xls_preprocessor=ds.xls_pre,
    )
  File "/home/nschense/Documents/Medphys_Research/alnn_rewrite/model/dataset.py", line 177, in load_adni_data_from_file
    return ADNIDataset(mri_data, xls_data, expected_classes, img_ids, device=device)
  File "/home/nschense/Documents/Medphys_Research/alnn_rewrite/model/dataset.py", line 62, in __init__
    self.mri_data = mri_data.float().to(device)
                    ~~~~~~~~~~~~~~~~~~~^^^^^^^^
torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 2.60 GiB. GPU 0 has a total capacity of 11.63 GiB of which 111.31 MiB is free. Process 139412 has 9.47 GiB memory in use. Including non-PyTorch memory, this process has 250.00 MiB memory in use. Of the allocated memory 0 bytes is allocated by PyTorch, and 0 bytes is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://docs.pytorch.org/docs/stable/notes/cuda.html#optimizing-memory-usage-with-pytorch-cuda-alloc-conf)
2026-07-07 22:53:00,126 - ERROR - [SYSTEM] ERROR: CUDA out of memory. Tried to allocate 2.60 GiB. GPU 0 has a total capacity of 11.63 GiB of which 111.31 MiB is free. Process 139412 has 9.47 GiB memory in use. Including non-PyTorch memory, this process has 250.00 MiB memory in use. Of the allocated memory 0 bytes is allocated by PyTorch, and 0 bytes is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://docs.pytorch.org/docs/stable/notes/cuda.html#optimizing-memory-usage-with-pytorch-cuda-alloc-conf)
2026-07-07 22:53:59,356 - INFO - [SYSTEM] Initiating Scenario: 1. Train, Evaluate, & Noise Analysis
2026-07-07 22:53:59,358 - INFO - [SYSTEM] Starting Task 1/5: Load Image and ADNIMERGE
2026-07-07 22:53:59,359 - INFO - [Load Image and ADNIMERGE] Loading Files
2026-07-07 22:54:01,108 - ERROR - Pipeline failed: CUDA out of memory. Tried to allocate 2.60 GiB. GPU 0 has a total capacity of 11.63 GiB of which 111.31 MiB is free. Process 139412 has 9.47 GiB memory in use. Including non-PyTorch memory, this process has 250.00 MiB memory in use. Of the allocated memory 0 bytes is allocated by PyTorch, and 0 bytes is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://docs.pytorch.org/docs/stable/notes/cuda.html#optimizing-memory-usage-with-pytorch-cuda-alloc-conf)
Traceback (most recent call last):
  File "/home/nschense/Documents/Medphys_Research/alnn_rewrite/main.py", line 252, in run_background_pipeline
    task_func(task_tracker, task_logger, config, pipeline_state)
    ~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/nschense/Documents/Medphys_Research/alnn_rewrite/tasks/load_data.py", line 22, in load_data_task
    dataset = ds.load_adni_data_from_file(
        mri_files,
    ...<2 lines>...
        xls_preprocessor=ds.xls_pre,
    )
  File "/home/nschense/Documents/Medphys_Research/alnn_rewrite/model/dataset.py", line 177, in load_adni_data_from_file
    return ADNIDataset(mri_data, xls_data, expected_classes, img_ids, device=device)
  File "/home/nschense/Documents/Medphys_Research/alnn_rewrite/model/dataset.py", line 62, in __init__
    self.mri_data = mri_data.float().to(device)
                    ~~~~~~~~~~~~~~~~~~~^^^^^^^^
torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 2.60 GiB. GPU 0 has a total capacity of 11.63 GiB of which 111.31 MiB is free. Process 139412 has 9.47 GiB memory in use. Including non-PyTorch memory, this process has 250.00 MiB memory in use. Of the allocated memory 0 bytes is allocated by PyTorch, and 0 bytes is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://docs.pytorch.org/docs/stable/notes/cuda.html#optimizing-memory-usage-with-pytorch-cuda-alloc-conf)
2026-07-07 22:54:01,108 - ERROR - [SYSTEM] ERROR: CUDA out of memory. Tried to allocate 2.60 GiB. GPU 0 has a total capacity of 11.63 GiB of which 111.31 MiB is free. Process 139412 has 9.47 GiB memory in use. Including non-PyTorch memory, this process has 250.00 MiB memory in use. Of the allocated memory 0 bytes is allocated by PyTorch, and 0 bytes is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://docs.pytorch.org/docs/stable/notes/cuda.html#optimizing-memory-usage-with-pytorch-cuda-alloc-conf)
2026-07-07 22:56:14,146 - INFO - [SYSTEM] Application initialized and ready.
2026-07-07 22:56:27,820 - INFO - [SYSTEM] Copied default config to ./outputs/exp1/config.toml. Ready for editing!
2026-07-07 22:56:31,532 - INFO - [SYSTEM] Initiating Scenario: 1. Train, Evaluate, & Noise Analysis
2026-07-07 22:56:31,535 - INFO - [SYSTEM] Starting Task 1/5: Load Image and ADNIMERGE
2026-07-07 22:56:31,535 - INFO - [Load Image and ADNIMERGE] Loading Files
2026-07-07 22:56:34,443 - INFO - [Load Image and ADNIMERGE] Dataloaders initalized
2026-07-07 22:56:34,447 - INFO - [Load Image and ADNIMERGE] Task completed.
2026-07-07 22:56:34,448 - INFO - [SYSTEM] Starting Task 2/5: Train Regular Models
2026-07-07 22:56:34,449 - INFO - [Train Regular Models] Starting normal model training...
2026-07-07 22:56:34,449 - INFO - [Train Regular Models] Intermediate models will be saved to outputs/exp1/normal_models/intermediate_models
2026-07-07 22:56:34,450 - INFO - [Train Regular Models] Training model 1/50...
2026-07-07 22:56:48,915 - INFO - [Train Regular Models] Epoch [1/30], Train Loss: 31.9007, Val Loss: 40.0863, Train Acc: 0.5302, Val Acc: 0.5302
2026-07-07 22:56:55,874 - ERROR - [SYSTEM] Stop requested! Terminating gracefully...
2026-07-07 22:56:55,915 - ERROR - [SYSTEM] STOPPED: Pipeline execution stopped by user.
2026-07-07 22:59:41,802 - INFO - [SYSTEM] Application initialized and ready.
2026-07-07 22:59:51,565 - INFO - [SYSTEM] Copied default config to ./outputs/exp1/config.toml. Ready for editing!
2026-07-07 22:59:53,442 - INFO - [SYSTEM] Initiating Scenario: 1. Train, Evaluate, & Noise Analysis
2026-07-07 22:59:53,445 - INFO - [SYSTEM] Starting Task 1/5: Load Image and ADNIMERGE
2026-07-07 22:59:53,445 - INFO - [Load Image and ADNIMERGE] Loading Files
2026-07-07 22:59:56,393 - INFO - [Load Image and ADNIMERGE] Dataloaders initalized
2026-07-07 22:59:56,397 - INFO - [Load Image and ADNIMERGE] Task completed.
2026-07-07 22:59:56,398 - INFO - [SYSTEM] Starting Task 2/5: Train Regular Models
2026-07-07 22:59:56,399 - INFO - [Train Regular Models] Starting normal model training...
2026-07-07 22:59:56,399 - INFO - [Train Regular Models] Intermediate models will be saved to outputs/exp1/normal_models/intermediate_models
2026-07-07 22:59:56,400 - INFO - [Train Regular Models] Training model 1/50...
2026-07-07 23:00:10,718 - INFO - [Train Regular Models] Epoch [1/30], Train Loss: 30.2033, Val Loss: 40.4815, Train Acc: 0.5101, Val Acc: 0.5101
2026-07-07 23:00:16,121 - ERROR - [SYSTEM] Stop requested! Terminating gracefully...
2026-07-07 23:00:16,157 - ERROR - [SYSTEM] STOPPED: Pipeline execution stopped by user.
2026-07-07 23:00:19,835 - INFO - [SYSTEM] Initiating Scenario: 1. Train, Evaluate, & Noise Analysis
2026-07-07 23:00:19,836 - INFO - [SYSTEM] Starting Task 1/5: Load Image and ADNIMERGE
2026-07-07 23:00:19,837 - INFO - [Load Image and ADNIMERGE] Loading Files
2026-07-07 23:00:22,440 - INFO - [Load Image and ADNIMERGE] Dataloaders initalized
2026-07-07 23:00:22,444 - INFO - [Load Image and ADNIMERGE] Task completed.
2026-07-07 23:00:22,445 - INFO - [SYSTEM] Starting Task 2/5: Train Regular Models
2026-07-07 23:00:22,446 - INFO - [Train Regular Models] Starting normal model training...
2026-07-07 23:00:22,446 - INFO - [Train Regular Models] Intermediate models will be saved to outputs/exp1/normal_models/intermediate_models
2026-07-07 23:00:22,447 - INFO - [Train Regular Models] Training model 1/50...
2026-07-07 23:00:27,800 - ERROR - [SYSTEM] Stop requested! Terminating gracefully...
2026-07-07 23:00:27,946 - ERROR - [SYSTEM] STOPPED: Pipeline execution stopped by user.
2026-07-07 23:00:56,651 - INFO - [SYSTEM] Initiating Scenario: 1. Train, Evaluate, & Noise Analysis
2026-07-07 23:00:56,653 - INFO - [SYSTEM] Starting Task 1/5: Load Image and ADNIMERGE
2026-07-07 23:00:56,654 - INFO - [Load Image and ADNIMERGE] Loading Files
2026-07-07 23:00:58,796 - INFO - [Load Image and ADNIMERGE] Dataloaders initalized
2026-07-07 23:00:58,800 - INFO - [Load Image and ADNIMERGE] Task completed.
2026-07-07 23:00:58,801 - INFO - [SYSTEM] Starting Task 2/5: Train Regular Models
2026-07-07 23:00:58,801 - INFO - [Train Regular Models] Starting normal model training...
2026-07-07 23:00:58,802 - INFO - [Train Regular Models] Intermediate models will be saved to outputs/exp1/normal_models/intermediate_models
2026-07-07 23:00:58,802 - INFO - [Train Regular Models] Training model 1/50...
2026-07-07 23:01:12,503 - INFO - [Train Regular Models] Epoch [1/30], Train Loss: 33.8031, Val Loss: 38.0120, Train Acc: 0.7919, Val Acc: 0.7919
2026-07-07 23:01:26,219 - INFO - [Train Regular Models] Epoch [2/30], Train Loss: 27.8724, Val Loss: 40.8105, Train Acc: 0.4966, Val Acc: 0.4966
2026-07-07 23:01:39,984 - INFO - [Train Regular Models] Epoch [3/30], Train Loss: 25.4381, Val Loss: 35.0456, Train Acc: 0.6644, Val Acc: 0.6644
2026-07-07 23:01:53,781 - INFO - [Train Regular Models] Epoch [4/30], Train Loss: 23.3444, Val Loss: 35.3899, Train Acc: 0.7383, Val Acc: 0.7383
2026-07-07 23:02:07,612 - INFO - [Train Regular Models] Epoch [5/30], Train Loss: 21.0827, Val Loss: 33.5305, Train Acc: 0.7852, Val Acc: 0.7852
2026-07-07 23:02:21,436 - INFO - [Train Regular Models] Epoch [6/30], Train Loss: 20.1785, Val Loss: 37.8223, Train Acc: 0.7517, Val Acc: 0.7517
2026-07-07 23:02:35,268 - INFO - [Train Regular Models] Epoch [7/30], Train Loss: 18.5837, Val Loss: 43.5106, Train Acc: 0.5168, Val Acc: 0.5168
2026-07-07 23:02:35,344 - INFO - [Train Regular Models] Model saved at epoch 7
2026-07-07 23:02:38,077 - ERROR - [SYSTEM] Stop requested! Terminating gracefully...
2026-07-07 23:02:38,490 - ERROR - [SYSTEM] STOPPED: Pipeline execution stopped by user.
2026-07-07 23:05:49,105 - INFO - [SYSTEM] Application initialized and ready.
2026-07-07 23:06:05,829 - INFO - [SYSTEM] Successfully loaded config from ./outputs/exp1/config.toml
2026-07-07 23:06:08,440 - INFO - [SYSTEM] Initiating Scenario: 1. Train, Evaluate, & Noise Analysis
2026-07-07 23:06:08,451 - INFO - [SYSTEM] Starting Task 1/5: Load Image and ADNIMERGE
2026-07-07 23:06:08,451 - INFO - [Load Image and ADNIMERGE] Loading Files
2026-07-07 23:06:11,353 - INFO - [Load Image and ADNIMERGE] Dataloaders initalized
2026-07-07 23:06:11,357 - INFO - [Load Image and ADNIMERGE] Task completed.
2026-07-07 23:06:11,358 - INFO - [SYSTEM] Starting Task 2/5: Train Regular Models
2026-07-07 23:06:11,359 - INFO - [Train Regular Models] Starting normal model training...
2026-07-07 23:06:11,359 - INFO - [Train Regular Models] Intermediate models will be saved to outputs/exp1/normal_models/intermediate_models
2026-07-07 23:06:11,360 - INFO - [Train Regular Models] Training model 1/50...
2026-07-07 23:06:19,433 - ERROR - [SYSTEM] Stop requested! Terminating gracefully...
2026-07-07 23:06:19,831 - ERROR - [SYSTEM] STOPPED: Pipeline execution stopped by user.
2026-07-07 23:07:23,454 - INFO - [SYSTEM] Initiating Scenario: 1. Train, Evaluate, & Noise Analysis
2026-07-07 23:07:23,457 - INFO - [SYSTEM] Starting Task 1/5: Load Image and ADNIMERGE
2026-07-07 23:07:23,457 - INFO - [Load Image and ADNIMERGE] Loading Files
2026-07-07 23:07:26,158 - INFO - [Load Image and ADNIMERGE] Dataloaders initalized
2026-07-07 23:07:26,162 - INFO - [Load Image and ADNIMERGE] Task completed.
2026-07-07 23:07:26,163 - INFO - [SYSTEM] Starting Task 2/5: Train Regular Models
2026-07-07 23:07:26,164 - INFO - [Train Regular Models] Starting normal model training...
2026-07-07 23:07:26,164 - INFO - [Train Regular Models] Intermediate models will be saved to outputs/exp1/normal_models/intermediate_models
2026-07-07 23:07:26,165 - INFO - [Train Regular Models] Training model 1/50...
2026-07-07 23:07:39,894 - INFO - [Train Regular Models] Epoch [1/30], Train Loss: 36.3690, Val Loss: 39.1494, Train Acc: 0.6242, Val Acc: 0.6242
2026-07-07 23:07:47,496 - INFO - [SYSTEM] Pipeline Paused. Waiting for current operation to yield...
2026-07-07 23:07:49,550 - INFO - [SYSTEM] Pipeline Resumed.
2026-07-07 23:07:52,492 - INFO - [SYSTEM] Pipeline Paused. Waiting for current operation to yield...
2026-07-07 23:07:54,747 - INFO - [SYSTEM] Pipeline Resumed.
2026-07-07 23:07:57,610 - INFO - [Train Regular Models] Epoch [2/30], Train Loss: 28.3761, Val Loss: 42.0669, Train Acc: 0.5034, Val Acc: 0.5034
2026-07-07 23:07:59,573 - ERROR - [SYSTEM] Stop requested! Terminating gracefully...
2026-07-07 23:07:59,949 - ERROR - [SYSTEM] STOPPED: Pipeline execution stopped by user.
2026-07-07 23:08:44,258 - INFO - [SYSTEM] Application initialized and ready.
2026-07-07 23:08:55,979 - INFO - [SYSTEM] Copied default config to ./outputs/exp2/config.toml. Ready for editing!
2026-07-07 23:09:00,092 - INFO - [SYSTEM] Initiating Scenario: 1. Train, Evaluate, & Noise Analysis
2026-07-07 23:09:00,094 - INFO - [SYSTEM] Starting Task 1/5: Load Image and ADNIMERGE
2026-07-07 23:09:00,095 - INFO - [Load Image and ADNIMERGE] Loading Files
2026-07-07 23:09:02,563 - ERROR - Pipeline failed: CUDA out of memory. Tried to allocate 2.60 GiB. GPU 0 has a total capacity of 11.63 GiB of which 111.31 MiB is free. Process 143180 has 9.47 GiB memory in use. Including non-PyTorch memory, this process has 250.00 MiB memory in use. Of the allocated memory 0 bytes is allocated by PyTorch, and 0 bytes is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://docs.pytorch.org/docs/stable/notes/cuda.html#optimizing-memory-usage-with-pytorch-cuda-alloc-conf)
Traceback (most recent call last):
  File "/home/nschense/Documents/Medphys_Research/alnn_rewrite/main.py", line 253, in run_background_pipeline
    task_func(task_tracker, task_logger, config, pipeline_state)
    ~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/nschense/Documents/Medphys_Research/alnn_rewrite/tasks/load_data.py", line 22, in load_data_task
    dataset = ds.load_adni_data_from_file(
        mri_files,
    ...<2 lines>...
        xls_preprocessor=ds.xls_pre,
    )
  File "/home/nschense/Documents/Medphys_Research/alnn_rewrite/model/dataset.py", line 177, in load_adni_data_from_file
    return ADNIDataset(mri_data, xls_data, expected_classes, img_ids, device=device)
  File "/home/nschense/Documents/Medphys_Research/alnn_rewrite/model/dataset.py", line 62, in __init__
    self.mri_data = mri_data.float().to(device)
                    ~~~~~~~~~~~~~~~~~~~^^^^^^^^
torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 2.60 GiB. GPU 0 has a total capacity of 11.63 GiB of which 111.31 MiB is free. Process 143180 has 9.47 GiB memory in use. Including non-PyTorch memory, this process has 250.00 MiB memory in use. Of the allocated memory 0 bytes is allocated by PyTorch, and 0 bytes is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://docs.pytorch.org/docs/stable/notes/cuda.html#optimizing-memory-usage-with-pytorch-cuda-alloc-conf)
2026-07-07 23:09:02,564 - ERROR - [SYSTEM] ERROR: CUDA out of memory. Tried to allocate 2.60 GiB. GPU 0 has a total capacity of 11.63 GiB of which 111.31 MiB is free. Process 143180 has 9.47 GiB memory in use. Including non-PyTorch memory, this process has 250.00 MiB memory in use. Of the allocated memory 0 bytes is allocated by PyTorch, and 0 bytes is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://docs.pytorch.org/docs/stable/notes/cuda.html#optimizing-memory-usage-with-pytorch-cuda-alloc-conf)
2026-07-07 23:09:11,258 - INFO - [SYSTEM] Initiating Scenario: 1. Train, Evaluate, & Noise Analysis
2026-07-07 23:09:11,272 - INFO - [SYSTEM] Starting Task 1/5: Load Image and ADNIMERGE
2026-07-07 23:09:11,273 - INFO - [Load Image and ADNIMERGE] Loading Files
2026-07-07 23:09:13,452 - ERROR - Pipeline failed: CUDA out of memory. Tried to allocate 2.60 GiB. GPU 0 has a total capacity of 11.63 GiB of which 111.31 MiB is free. Process 143180 has 9.47 GiB memory in use. Including non-PyTorch memory, this process has 250.00 MiB memory in use. Of the allocated memory 0 bytes is allocated by PyTorch, and 0 bytes is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://docs.pytorch.org/docs/stable/notes/cuda.html#optimizing-memory-usage-with-pytorch-cuda-alloc-conf)
Traceback (most recent call last):
  File "/home/nschense/Documents/Medphys_Research/alnn_rewrite/main.py", line 253, in run_background_pipeline
    task_func(task_tracker, task_logger, config, pipeline_state)
    ~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/nschense/Documents/Medphys_Research/alnn_rewrite/tasks/load_data.py", line 22, in load_data_task
    dataset = ds.load_adni_data_from_file(
        mri_files,
    ...<2 lines>...
        xls_preprocessor=ds.xls_pre,
    )
  File "/home/nschense/Documents/Medphys_Research/alnn_rewrite/model/dataset.py", line 177, in load_adni_data_from_file
    return ADNIDataset(mri_data, xls_data, expected_classes, img_ids, device=device)
  File "/home/nschense/Documents/Medphys_Research/alnn_rewrite/model/dataset.py", line 62, in __init__
    self.mri_data = mri_data.float().to(device)
                    ~~~~~~~~~~~~~~~~~~~^^^^^^^^
torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 2.60 GiB. GPU 0 has a total capacity of 11.63 GiB of which 111.31 MiB is free. Process 143180 has 9.47 GiB memory in use. Including non-PyTorch memory, this process has 250.00 MiB memory in use. Of the allocated memory 0 bytes is allocated by PyTorch, and 0 bytes is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://docs.pytorch.org/docs/stable/notes/cuda.html#optimizing-memory-usage-with-pytorch-cuda-alloc-conf)
2026-07-07 23:09:13,453 - ERROR - [SYSTEM] ERROR: CUDA out of memory. Tried to allocate 2.60 GiB. GPU 0 has a total capacity of 11.63 GiB of which 111.31 MiB is free. Process 143180 has 9.47 GiB memory in use. Including non-PyTorch memory, this process has 250.00 MiB memory in use. Of the allocated memory 0 bytes is allocated by PyTorch, and 0 bytes is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://docs.pytorch.org/docs/stable/notes/cuda.html#optimizing-memory-usage-with-pytorch-cuda-alloc-conf)
2026-07-07 23:09:50,869 - INFO - [SYSTEM] Application initialized and ready.
2026-07-07 23:09:58,158 - INFO - [SYSTEM] Successfully loaded config from ./outputs/exp2/config.toml
2026-07-07 23:09:59,995 - INFO - [SYSTEM] Initiating Scenario: 1. Train, Evaluate, & Noise Analysis
2026-07-07 23:09:59,998 - INFO - [SYSTEM] Starting Task 1/5: Load Image and ADNIMERGE
2026-07-07 23:09:59,998 - INFO - [Load Image and ADNIMERGE] Loading Files
2026-07-07 23:10:02,945 - INFO - [Load Image and ADNIMERGE] Dataloaders initalized
2026-07-07 23:10:02,950 - INFO - [Load Image and ADNIMERGE] Task completed.
2026-07-07 23:10:02,951 - INFO - [SYSTEM] Starting Task 2/5: Train Regular Models
2026-07-07 23:10:02,952 - INFO - [Train Regular Models] Starting normal model training...
2026-07-07 23:10:02,952 - INFO - [Train Regular Models] Intermediate models will be saved to outputs/exp2/normal_models/intermediate_models
2026-07-07 23:10:02,953 - INFO - [Train Regular Models] Training model 1/50...
2026-07-07 23:10:17,381 - INFO - [Train Regular Models] Epoch [1/30], Train Loss: 34.3198, Val Loss: 37.7880, Train Acc: 0.7450, Val Acc: 0.7450
2026-07-07 23:10:31,134 - INFO - [Train Regular Models] Epoch [2/30], Train Loss: 28.2604, Val Loss: 35.1542, Train Acc: 0.6913, Val Acc: 0.6913
2026-07-07 23:10:44,929 - INFO - [Train Regular Models] Epoch [3/30], Train Loss: 25.2059, Val Loss: 37.1065, Train Acc: 0.6443, Val Acc: 0.6443
2026-07-07 23:10:58,741 - INFO - [Train Regular Models] Epoch [4/30], Train Loss: 23.2649, Val Loss: 37.7584, Train Acc: 0.5839, Val Acc: 0.5839
2026-07-07 23:11:12,573 - INFO - [Train Regular Models] Epoch [5/30], Train Loss: 20.9050, Val Loss: 36.4091, Train Acc: 0.6040, Val Acc: 0.6040
2026-07-07 23:11:26,413 - INFO - [Train Regular Models] Epoch [6/30], Train Loss: 19.2700, Val Loss: 36.3774, Train Acc: 0.5973, Val Acc: 0.5973
2026-07-07 23:11:40,255 - INFO - [Train Regular Models] Epoch [7/30], Train Loss: 18.0514, Val Loss: 35.6015, Train Acc: 0.6376, Val Acc: 0.6376
2026-07-07 23:11:40,355 - INFO - [Train Regular Models] Model saved at epoch 7
2026-07-07 23:11:54,199 - INFO - [Train Regular Models] Epoch [8/30], Train Loss: 17.0273, Val Loss: 34.6692, Train Acc: 0.6309, Val Acc: 0.6309
2026-07-07 23:12:08,042 - INFO - [Train Regular Models] Epoch [9/30], Train Loss: 16.3381, Val Loss: 56.3836, Train Acc: 0.5369, Val Acc: 0.5369
2026-07-07 23:12:21,887 - INFO - [Train Regular Models] Epoch [10/30], Train Loss: 17.3398, Val Loss: 38.8979, Train Acc: 0.5839, Val Acc: 0.5839
2026-07-07 23:12:35,737 - INFO - [Train Regular Models] Epoch [11/30], Train Loss: 14.4686, Val Loss: 30.7893, Train Acc: 0.8054, Val Acc: 0.8054
2026-07-07 23:12:49,582 - INFO - [Train Regular Models] Epoch [12/30], Train Loss: 13.8248, Val Loss: 35.9297, Train Acc: 0.6242, Val Acc: 0.6242
2026-07-07 23:13:03,427 - INFO - [Train Regular Models] Epoch [13/30], Train Loss: 13.3095, Val Loss: 35.1133, Train Acc: 0.7181, Val Acc: 0.7181
2026-07-07 23:13:17,272 - INFO - [Train Regular Models] Epoch [14/30], Train Loss: 12.7092, Val Loss: 44.7456, Train Acc: 0.5638, Val Acc: 0.5638
2026-07-07 23:13:17,359 - INFO - [Train Regular Models] Model saved at epoch 14
2026-07-07 23:13:31,211 - INFO - [Train Regular Models] Epoch [15/30], Train Loss: 13.0241, Val Loss: 49.0018, Train Acc: 0.5503, Val Acc: 0.5503
2026-07-07 23:13:45,062 - INFO - [Train Regular Models] Epoch [16/30], Train Loss: 11.3344, Val Loss: 40.5898, Train Acc: 0.5705, Val Acc: 0.5705
2026-07-07 23:13:58,917 - INFO - [Train Regular Models] Epoch [17/30], Train Loss: 10.7968, Val Loss: 33.3214, Train Acc: 0.6577, Val Acc: 0.6577
2026-07-07 23:14:12,766 - INFO - [Train Regular Models] Epoch [18/30], Train Loss: 9.2847, Val Loss: 32.2253, Train Acc: 0.7919, Val Acc: 0.7919
2026-07-07 23:14:26,619 - INFO - [Train Regular Models] Epoch [19/30], Train Loss: 9.5039, Val Loss: 28.7371, Train Acc: 0.8523, Val Acc: 0.8523
2026-07-07 23:14:40,468 - INFO - [Train Regular Models] Epoch [20/30], Train Loss: 8.9888, Val Loss: 35.7847, Train Acc: 0.6107, Val Acc: 0.6107
2026-07-07 23:14:54,317 - INFO - [Train Regular Models] Epoch [21/30], Train Loss: 9.0884, Val Loss: 32.0707, Train Acc: 0.6644, Val Acc: 0.6644
2026-07-07 23:14:54,411 - INFO - [Train Regular Models] Model saved at epoch 21
2026-07-07 23:15:08,264 - INFO - [Train Regular Models] Epoch [22/30], Train Loss: 8.4898, Val Loss: 38.5546, Train Acc: 0.5839, Val Acc: 0.5839
2026-07-07 23:15:22,114 - INFO - [Train Regular Models] Epoch [23/30], Train Loss: 7.8137, Val Loss: 33.0331, Train Acc: 0.7114, Val Acc: 0.7114
2026-07-07 23:15:35,966 - INFO - [Train Regular Models] Epoch [24/30], Train Loss: 7.0856, Val Loss: 27.0260, Train Acc: 0.8054, Val Acc: 0.8054
2026-07-07 23:15:49,811 - INFO - [Train Regular Models] Epoch [25/30], Train Loss: 7.6837, Val Loss: 45.5512, Train Acc: 0.5705, Val Acc: 0.5705
2026-07-07 23:16:03,659 - INFO - [Train Regular Models] Epoch [26/30], Train Loss: 6.6017, Val Loss: 32.3892, Train Acc: 0.6913, Val Acc: 0.6913
2026-07-07 23:16:17,508 - INFO - [Train Regular Models] Epoch [27/30], Train Loss: 7.7363, Val Loss: 34.3906, Train Acc: 0.7852, Val Acc: 0.7852
2026-07-07 23:16:31,357 - INFO - [Train Regular Models] Epoch [28/30], Train Loss: 7.1077, Val Loss: 41.1836, Train Acc: 0.5705, Val Acc: 0.5705
2026-07-07 23:16:31,445 - INFO - [Train Regular Models] Model saved at epoch 28
2026-07-07 23:16:45,297 - INFO - [Train Regular Models] Epoch [29/30], Train Loss: 6.1704, Val Loss: 38.0425, Train Acc: 0.5973, Val Acc: 0.5973
2026-07-07 23:16:59,145 - INFO - [Train Regular Models] Epoch [30/30], Train Loss: 6.1988, Val Loss: 29.8566, Train Acc: 0.7383, Val Acc: 0.7383
2026-07-07 23:16:59,362 - ERROR - Pipeline failed: CUDA out of memory. Tried to allocate 272.00 MiB. GPU 0 has a total capacity of 11.63 GiB of which 94.62 MiB is free. Including non-PyTorch memory, this process has 9.73 GiB memory in use. Of the allocated memory 8.46 GiB is allocated by PyTorch, and 990.38 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://docs.pytorch.org/docs/stable/notes/cuda.html#optimizing-memory-usage-with-pytorch-cuda-alloc-conf)
Traceback (most recent call last):
  File "/home/nschense/Documents/Medphys_Research/alnn_rewrite/main.py", line 253, in run_background_pipeline
    task_func(task_tracker, task_logger, config, pipeline_state)
    ~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/nschense/Documents/Medphys_Research/alnn_rewrite/tasks/train_normal.py", line 96, in train_normal_task
    test_loss, test_acc = tn.test_model(
                          ~~~~~~~~~~~~~^
        model=model,
        ^^^^^^^^^^^^
    ...<5 lines>...
        pause_event=pause_event,
        ^^^^^^^^^^^^^^^^^^^^^^^^
    )
    ^
  File "/home/nschense/Documents/Medphys_Research/alnn_rewrite/model/training.py", line 65, in test_model
    outputs = model((mri, xls))
  File "/home/nschense/Documents/Medphys_Research/alnn_rewrite/.venv/lib64/python3.14/site-packages/torch/nn/modules/module.py", line 1778, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
           ~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "/home/nschense/Documents/Medphys_Research/alnn_rewrite/.venv/lib64/python3.14/site-packages/torch/nn/modules/module.py", line 1789, in _call_impl
    return forward_call(*args, **kwargs)
  File "/home/nschense/Documents/Medphys_Research/alnn_rewrite/model/cnn.py", line 66, in forward
    image_out = self.image_section(image_data)
  File "/home/nschense/Documents/Medphys_Research/alnn_rewrite/.venv/lib64/python3.14/site-packages/torch/nn/modules/module.py", line 1778, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
           ~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "/home/nschense/Documents/Medphys_Research/alnn_rewrite/.venv/lib64/python3.14/site-packages/torch/nn/modules/module.py", line 1789, in _call_impl
    return forward_call(*args, **kwargs)
  File "/home/nschense/Documents/Medphys_Research/alnn_rewrite/model/cnn.py", line 36, in forward
    x = self.midflow(x)
  File "/home/nschense/Documents/Medphys_Research/alnn_rewrite/.venv/lib64/python3.14/site-packages/torch/nn/modules/module.py", line 1778, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
           ~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "/home/nschense/Documents/Medphys_Research/alnn_rewrite/.venv/lib64/python3.14/site-packages/torch/nn/modules/module.py", line 1789, in _call_impl
    return forward_call(*args, **kwargs)
  File "/home/nschense/Documents/Medphys_Research/alnn_rewrite/model/layers.py", line 91, in forward
    a = nn.ELU()(self.block(x) + x)
                 ~~~~~~~~~~~~~~^~~
torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 272.00 MiB. GPU 0 has a total capacity of 11.63 GiB of which 94.62 MiB is free. Including non-PyTorch memory, this process has 9.73 GiB memory in use. Of the allocated memory 8.46 GiB is allocated by PyTorch, and 990.38 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://docs.pytorch.org/docs/stable/notes/cuda.html#optimizing-memory-usage-with-pytorch-cuda-alloc-conf)
2026-07-07 23:16:59,370 - ERROR - [SYSTEM] ERROR: CUDA out of memory. Tried to allocate 272.00 MiB. GPU 0 has a total capacity of 11.63 GiB of which 94.62 MiB is free. Including non-PyTorch memory, this process has 9.73 GiB memory in use. Of the allocated memory 8.46 GiB is allocated by PyTorch, and 990.38 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://docs.pytorch.org/docs/stable/notes/cuda.html#optimizing-memory-usage-with-pytorch-cuda-alloc-conf)
2026-07-07 23:18:31,229 - INFO - [SYSTEM] Initiating Scenario: 1. Train, Evaluate, & Noise Analysis
2026-07-07 23:18:31,236 - INFO - [SYSTEM] Starting Task 1/5: Load Image and ADNIMERGE
2026-07-07 23:18:31,237 - INFO - [Load Image and ADNIMERGE] Loading Files
2026-07-07 23:18:34,007 - INFO - [Load Image and ADNIMERGE] Dataloaders initalized
2026-07-07 23:18:34,009 - INFO - [Load Image and ADNIMERGE] Task completed.
2026-07-07 23:18:34,010 - INFO - [SYSTEM] Starting Task 2/5: Train Regular Models
2026-07-07 23:18:34,011 - INFO - [Train Regular Models] Starting normal model training...
2026-07-07 23:18:34,011 - INFO - [Train Regular Models] Intermediate models will be saved to outputs/exp2/normal_models/intermediate_models
2026-07-07 23:18:34,012 - INFO - [Train Regular Models] Training model 1/50...
2026-07-07 23:18:39,480 - ERROR - Pipeline failed: App is not running
Traceback (most recent call last):
  File "/home/nschense/Documents/Medphys_Research/alnn_rewrite/main.py", line 253, in run_background_pipeline
    task_func(task_tracker, task_logger, config, pipeline_state)
    ~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/nschense/Documents/Medphys_Research/alnn_rewrite/tasks/train_normal.py", line 81, in train_normal_task
    model, history = tn.train_model(
                     ~~~~~~~~~~~~~~^
        log=log,
        ^^^^^^^^
    ...<9 lines>...
        pause_event=pause_event,
        ^^^^^^^^^^^^^^^^^^^^^^^^
    )
    ^
  File "/home/nschense/Documents/Medphys_Research/alnn_rewrite/model/training.py", line 190, in train_model
    train_loss, val_loss, train_acc, val_acc = train_epoch(
                                               ~~~~~~~~~~~^
        model,
        ^^^^^^
    ...<7 lines>...
        pause_event=pause_event,
        ^^^^^^^^^^^^^^^^^^^^^^^^
    )
    ^
  File "/home/nschense/Documents/Medphys_Research/alnn_rewrite/model/training.py", line 120, in train_epoch
    train_progress.update(total=len(train_loader), advance=1)
    ~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/nschense/Documents/Medphys_Research/alnn_rewrite/util/progress.py", line 64, in update
    self.app.call_from_thread(_do_update)
    ~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^
  File "/home/nschense/Documents/Medphys_Research/alnn_rewrite/.venv/lib64/python3.14/site-packages/textual/app.py", line 1819, in call_from_thread
    raise RuntimeError("App is not running")
RuntimeError: App is not running
2026-07-07 23:18:39,481 - ERROR - [SYSTEM] ERROR: App is not running
2026-07-07 23:22:18,712 - INFO - [SYSTEM] Application initialized and ready.
2026-07-07 23:22:30,814 - INFO - [SYSTEM] Copied default config to ./outputs/experiment_1/config.toml. Ready for editing!
2026-07-07 23:22:33,000 - INFO - [SYSTEM] Initiating Scenario: 1. Train, Evaluate, & Noise Analysis
2026-07-07 23:22:33,003 - INFO - [SYSTEM] Starting Task 1/5: Load Image and ADNIMERGE
2026-07-07 23:22:33,004 - INFO - [Load Image and ADNIMERGE] Loading Files
2026-07-07 23:22:35,714 - INFO - [Load Image and ADNIMERGE] Dataloaders initalized
2026-07-07 23:22:35,718 - INFO - [Load Image and ADNIMERGE] Task completed.
2026-07-07 23:22:35,720 - INFO - [SYSTEM] Starting Task 2/5: Train Regular Models
2026-07-07 23:22:35,720 - INFO - [Train Regular Models] Starting normal model training...
2026-07-07 23:22:35,721 - INFO - [Train Regular Models] Intermediate models will be saved to outputs/experiment_1/normal_models/intermediate_models
2026-07-07 23:22:35,721 - INFO - [Train Regular Models] Training model 1/50...
2026-07-07 23:22:50,086 - INFO - [Train Regular Models] Epoch [1/30], Train Loss: 37.1905, Val Loss: 42.7157, Train Acc: 0.5034, Val Acc: 0.5034
2026-07-07 23:23:03,790 - INFO - [Train Regular Models] Epoch [2/30], Train Loss: 25.8338, Val Loss: 35.7036, Train Acc: 0.7383, Val Acc: 0.7383
2026-07-07 23:23:17,550 - INFO - [Train Regular Models] Epoch [3/30], Train Loss: 21.3707, Val Loss: 45.1811, Train Acc: 0.4765, Val Acc: 0.4765
2026-07-07 23:23:31,351 - INFO - [Train Regular Models] Epoch [4/30], Train Loss: 19.2528, Val Loss: 36.2448, Train Acc: 0.5973, Val Acc: 0.5973
2026-07-07 23:23:45,172 - INFO - [Train Regular Models] Epoch [5/30], Train Loss: 16.2027, Val Loss: 32.4055, Train Acc: 0.6913, Val Acc: 0.6913
2026-07-07 23:23:58,997 - INFO - [Train Regular Models] Epoch [6/30], Train Loss: 14.6334, Val Loss: 30.1882, Train Acc: 0.8255, Val Acc: 0.8255
2026-07-07 23:24:06,489 - ERROR - [SYSTEM] Stop requested! Terminating gracefully...
2026-07-07 23:24:06,847 - ERROR - [SYSTEM] STOPPED: Pipeline execution stopped by user.
2026-07-07 23:27:52,571 - INFO - [SYSTEM] Application initialized and ready.
2026-07-07 23:27:59,544 - INFO - [SYSTEM] Copied default config to ./outputs/exp1/config.toml. Ready for editing!
2026-07-07 23:28:01,690 - INFO - [SYSTEM] Initiating Scenario: 1. Train, Evaluate, & Noise Analysis
2026-07-07 23:28:01,701 - INFO - [SYSTEM] Starting Task 1/5: Load Image and ADNIMERGE
2026-07-07 23:28:01,701 - INFO - [Load Image and ADNIMERGE] Loading Files
2026-07-07 23:28:04,661 - INFO - [Load Image and ADNIMERGE] Dataloaders initalized
2026-07-07 23:28:04,663 - INFO - [Load Image and ADNIMERGE] Task completed.
2026-07-07 23:28:04,668 - INFO - [SYSTEM] Starting Task 2/5: Train Regular Models
2026-07-07 23:28:04,668 - INFO - [Train Regular Models] Starting normal model training...
2026-07-07 23:28:04,669 - INFO - [Train Regular Models] Intermediate models will be saved to outputs/exp1/normal_models/intermediate_models
2026-07-07 23:28:04,669 - INFO - [Train Regular Models] Training model 1/50...
2026-07-07 23:28:18,992 - INFO - [Train Regular Models] Epoch [1/30], Train Loss: 0.5685, Val Loss: 0.7230, Train Acc: 0.7034, Val Acc: 0.4631
2026-07-07 23:28:32,736 - INFO - [Train Regular Models] Epoch [2/30], Train Loss: 0.4527, Val Loss: 0.7075, Train Acc: 0.8365, Val Acc: 0.4966
2026-07-07 23:28:46,493 - INFO - [Train Regular Models] Epoch [3/30], Train Loss: 0.3957, Val Loss: 0.5646, Train Acc: 0.9125, Val Acc: 0.8188
2026-07-07 23:29:00,299 - INFO - [Train Regular Models] Epoch [4/30], Train Loss: 0.3627, Val Loss: 0.7107, Train Acc: 0.9506, Val Acc: 0.5101
2026-07-07 23:29:14,125 - INFO - [Train Regular Models] Epoch [5/30], Train Loss: 0.3393, Val Loss: 0.6061, Train Acc: 0.9715, Val Acc: 0.7181
2026-07-07 23:29:27,967 - INFO - [Train Regular Models] Epoch [6/30], Train Loss: 0.3099, Val Loss: 0.6734, Train Acc: 0.9791, Val Acc: 0.5570
2026-07-07 23:29:41,808 - INFO - [Train Regular Models] Epoch [7/30], Train Loss: 0.2903, Val Loss: 0.6156, Train Acc: 0.9810, Val Acc: 0.5973
2026-07-07 23:29:41,901 - INFO - [Train Regular Models] Model saved at epoch 7
2026-07-07 23:29:55,752 - INFO - [Train Regular Models] Epoch [8/30], Train Loss: 0.2748, Val Loss: 0.6656, Train Acc: 0.9791, Val Acc: 0.5570
2026-07-07 23:30:09,598 - INFO - [Train Regular Models] Epoch [9/30], Train Loss: 0.2596, Val Loss: 0.5948, Train Acc: 0.9848, Val Acc: 0.6242
2026-07-07 23:30:23,445 - INFO - [Train Regular Models] Epoch [10/30], Train Loss: 0.2503, Val Loss: 0.5690, Train Acc: 0.9791, Val Acc: 0.7987
2026-07-07 23:30:37,293 - INFO - [Train Regular Models] Epoch [11/30], Train Loss: 0.2408, Val Loss: 0.8184, Train Acc: 0.9829, Val Acc: 0.5235
2026-07-07 23:30:51,140 - INFO - [Train Regular Models] Epoch [12/30], Train Loss: 0.2546, Val Loss: 0.6428, Train Acc: 0.9696, Val Acc: 0.5906
2026-07-07 23:31:04,990 - INFO - [Train Regular Models] Epoch [13/30], Train Loss: 0.2260, Val Loss: 0.6634, Train Acc: 0.9848, Val Acc: 0.5839
2026-07-07 23:31:18,836 - INFO - [Train Regular Models] Epoch [14/30], Train Loss: 0.2089, Val Loss: 0.6569, Train Acc: 0.9829, Val Acc: 0.5772
2026-07-07 23:31:18,924 - INFO - [Train Regular Models] Model saved at epoch 14
2026-07-07 23:31:32,776 - INFO - [Train Regular Models] Epoch [15/30], Train Loss: 0.1820, Val Loss: 0.5285, Train Acc: 0.9924, Val Acc: 0.7651
2026-07-07 23:31:46,627 - INFO - [Train Regular Models] Epoch [16/30], Train Loss: 0.1814, Val Loss: 0.5080, Train Acc: 0.9848, Val Acc: 0.8054
2026-07-07 23:32:00,481 - INFO - [Train Regular Models] Epoch [17/30], Train Loss: 0.1848, Val Loss: 0.5403, Train Acc: 0.9810, Val Acc: 0.8255
2026-07-07 23:32:14,331 - INFO - [Train Regular Models] Epoch [18/30], Train Loss: 0.1725, Val Loss: 0.5621, Train Acc: 0.9867, Val Acc: 0.6577
2026-07-07 23:32:28,183 - INFO - [Train Regular Models] Epoch [19/30], Train Loss: 0.1524, Val Loss: 0.8701, Train Acc: 0.9848, Val Acc: 0.5034
2026-07-07 23:32:42,035 - INFO - [Train Regular Models] Epoch [20/30], Train Loss: 0.1537, Val Loss: 0.6627, Train Acc: 0.9848, Val Acc: 0.5906
2026-07-07 23:32:55,889 - INFO - [Train Regular Models] Epoch [21/30], Train Loss: 0.1386, Val Loss: 0.5572, Train Acc: 0.9829, Val Acc: 0.6510
2026-07-07 23:32:55,982 - INFO - [Train Regular Models] Model saved at epoch 21
2026-07-07 23:33:09,838 - INFO - [Train Regular Models] Epoch [22/30], Train Loss: 0.1314, Val Loss: 0.5282, Train Acc: 0.9867, Val Acc: 0.7919
2026-07-07 23:33:23,693 - INFO - [Train Regular Models] Epoch [23/30], Train Loss: 0.1305, Val Loss: 0.4771, Train Acc: 0.9848, Val Acc: 0.8523
2026-07-07 23:33:37,549 - INFO - [Train Regular Models] Epoch [24/30], Train Loss: 0.1217, Val Loss: 0.7991, Train Acc: 0.9848, Val Acc: 0.5436
2026-07-07 23:33:51,407 - INFO - [Train Regular Models] Epoch [25/30], Train Loss: 0.1192, Val Loss: 0.6912, Train Acc: 0.9867, Val Acc: 0.5503
2026-07-07 23:34:05,268 - INFO - [Train Regular Models] Epoch [26/30], Train Loss: 0.1029, Val Loss: 0.6175, Train Acc: 0.9886, Val Acc: 0.6443
2026-07-07 23:34:19,129 - INFO - [Train Regular Models] Epoch [27/30], Train Loss: 0.1157, Val Loss: 0.5161, Train Acc: 0.9829, Val Acc: 0.7584
2026-07-07 23:34:32,985 - INFO - [Train Regular Models] Epoch [28/30], Train Loss: 0.0991, Val Loss: 0.5679, Train Acc: 0.9829, Val Acc: 0.6443
2026-07-07 23:34:33,073 - INFO - [Train Regular Models] Model saved at epoch 28
2026-07-07 23:34:46,934 - INFO - [Train Regular Models] Epoch [29/30], Train Loss: 0.0986, Val Loss: 0.5931, Train Acc: 0.9829, Val Acc: 0.6040
2026-07-07 23:35:00,786 - INFO - [Train Regular Models] Epoch [30/30], Train Loss: 0.1018, Val Loss: 0.6658, Train Acc: 0.9829, Val Acc: 0.5503
2026-07-07 23:35:01,003 - ERROR - Pipeline failed: CUDA out of memory. Tried to allocate 272.00 MiB. GPU 0 has a total capacity of 11.63 GiB of which 94.62 MiB is free. Including non-PyTorch memory, this process has 9.73 GiB memory in use. Of the allocated memory 8.46 GiB is allocated by PyTorch, and 990.38 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://docs.pytorch.org/docs/stable/notes/cuda.html#optimizing-memory-usage-with-pytorch-cuda-alloc-conf)
Traceback (most recent call last):
  File "/home/nschense/Documents/Medphys_Research/alnn_rewrite/main.py", line 253, in run_background_pipeline
    task_func(task_tracker, task_logger, config, pipeline_state)
    ~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/nschense/Documents/Medphys_Research/alnn_rewrite/tasks/train_normal.py", line 105, in train_normal_task
    test_loss, test_acc = tn.test_model(
                          ~~~~~~~~~~~~~^
        model=model,
        ^^^^^^^^^^^^
    ...<5 lines>...
        pause_event=pause_event,
        ^^^^^^^^^^^^^^^^^^^^^^^^
    )
    ^
  File "/home/nschense/Documents/Medphys_Research/alnn_rewrite/model/training.py", line 87, in test_model
    outputs = model((mri, xls))
  File "/home/nschense/Documents/Medphys_Research/alnn_rewrite/.venv/lib64/python3.14/site-packages/torch/nn/modules/module.py", line 1778, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
           ~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "/home/nschense/Documents/Medphys_Research/alnn_rewrite/.venv/lib64/python3.14/site-packages/torch/nn/modules/module.py", line 1789, in _call_impl
    return forward_call(*args, **kwargs)
  File "/home/nschense/Documents/Medphys_Research/alnn_rewrite/model/cnn.py", line 66, in forward
    image_out = self.image_section(image_data)
  File "/home/nschense/Documents/Medphys_Research/alnn_rewrite/.venv/lib64/python3.14/site-packages/torch/nn/modules/module.py", line 1778, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
           ~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "/home/nschense/Documents/Medphys_Research/alnn_rewrite/.venv/lib64/python3.14/site-packages/torch/nn/modules/module.py", line 1789, in _call_impl
    return forward_call(*args, **kwargs)
  File "/home/nschense/Documents/Medphys_Research/alnn_rewrite/model/cnn.py", line 36, in forward
    x = self.midflow(x)
  File "/home/nschense/Documents/Medphys_Research/alnn_rewrite/.venv/lib64/python3.14/site-packages/torch/nn/modules/module.py", line 1778, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
           ~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "/home/nschense/Documents/Medphys_Research/alnn_rewrite/.venv/lib64/python3.14/site-packages/torch/nn/modules/module.py", line 1789, in _call_impl
    return forward_call(*args, **kwargs)
  File "/home/nschense/Documents/Medphys_Research/alnn_rewrite/model/layers.py", line 91, in forward
    a = nn.ELU()(self.block(x) + x)
                 ~~~~~~~~~~~~~~^~~
torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 272.00 MiB. GPU 0 has a total capacity of 11.63 GiB of which 94.62 MiB is free. Including non-PyTorch memory, this process has 9.73 GiB memory in use. Of the allocated memory 8.46 GiB is allocated by PyTorch, and 990.38 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://docs.pytorch.org/docs/stable/notes/cuda.html#optimizing-memory-usage-with-pytorch-cuda-alloc-conf)
2026-07-07 23:35:01,004 - ERROR - [SYSTEM] ERROR: CUDA out of memory. Tried to allocate 272.00 MiB. GPU 0 has a total capacity of 11.63 GiB of which 94.62 MiB is free. Including non-PyTorch memory, this process has 9.73 GiB memory in use. Of the allocated memory 8.46 GiB is allocated by PyTorch, and 990.38 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://docs.pytorch.org/docs/stable/notes/cuda.html#optimizing-memory-usage-with-pytorch-cuda-alloc-conf)
2026-07-07 23:42:26,276 - INFO - [SYSTEM] Application initialized and ready.
2026-07-07 23:42:34,766 - INFO - [SYSTEM] Copied default config to ./outputs/exp3/config.toml. Ready for editing!
2026-07-07 23:42:35,810 - INFO - [SYSTEM] Initiating Scenario: 1. Train, Evaluate, & Noise Analysis
2026-07-07 23:42:35,878 - INFO - [SYSTEM] Starting Task 1/5: Load Image and ADNIMERGE
2026-07-07 23:42:35,878 - INFO - [Load Image and ADNIMERGE] Loading Files
2026-07-07 23:42:38,392 - INFO - [Load Image and ADNIMERGE] Dataloaders initalized
2026-07-07 23:42:38,397 - INFO - [Load Image and ADNIMERGE] Task completed.
2026-07-07 23:42:38,398 - INFO - [SYSTEM] Starting Task 2/5: Train Regular Models
2026-07-07 23:42:38,398 - INFO - [Train Regular Models] Starting normal model training...
2026-07-07 23:42:38,399 - INFO - [Train Regular Models] Intermediate models will be saved to outputs/exp3/normal_models/intermediate_models
2026-07-07 23:42:38,400 - INFO - [Train Regular Models] Training model 1/50...
2026-07-07 23:42:38,490 - ERROR - Pipeline failed: Expected 'True' or 'False' at index 2 in ConfigTokenizer but got 'true'
Traceback (most recent call last):
  File "/home/nschense/Documents/Medphys_Research/alnn_rewrite/main.py", line 256, in run_background_pipeline
    task_func(task_tracker, task_logger, config, pipeline_state)
    ~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/nschense/Documents/Medphys_Research/alnn_rewrite/tasks/train_normal.py", line 79, in train_normal_task
    .to(config["training"]["device"])
     ~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/nschense/Documents/Medphys_Research/alnn_rewrite/.venv/lib64/python3.14/site-packages/torch/nn/modules/module.py", line 1383, in to
    return self._apply(convert)
           ~~~~~~~~~~~^^^^^^^^^
  File "/home/nschense/Documents/Medphys_Research/alnn_rewrite/.venv/lib64/python3.14/site-packages/torch/nn/modules/module.py", line 933, in _apply
    module._apply(fn)
    ~~~~~~~~~~~~~^^^^
  File "/home/nschense/Documents/Medphys_Research/alnn_rewrite/.venv/lib64/python3.14/site-packages/torch/nn/modules/module.py", line 933, in _apply
    module._apply(fn)
    ~~~~~~~~~~~~~^^^^
  File "/home/nschense/Documents/Medphys_Research/alnn_rewrite/.venv/lib64/python3.14/site-packages/torch/nn/modules/module.py", line 933, in _apply
    module._apply(fn)
    ~~~~~~~~~~~~~^^^^
  File "/home/nschense/Documents/Medphys_Research/alnn_rewrite/.venv/lib64/python3.14/site-packages/torch/nn/modules/module.py", line 964, in _apply
    param_applied = fn(param)
  File "/home/nschense/Documents/Medphys_Research/alnn_rewrite/.venv/lib64/python3.14/site-packages/torch/nn/modules/module.py", line 1369, in convert
    return t.to(
           ~~~~^
        device,
        ^^^^^^^
        dtype if t.is_floating_point() or t.is_complex() else None,
        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
        non_blocking,
        ^^^^^^^^^^^^^
    )
    ^
  File "/home/nschense/Documents/Medphys_Research/alnn_rewrite/.venv/lib64/python3.14/site-packages/torch/cuda/__init__.py", line 491, in _lazy_init
    torch._C._cuda_init()
    ~~~~~~~~~~~~~~~~~~~^^
ValueError: Expected 'True' or 'False' at index 2 in ConfigTokenizer but got 'true'
2026-07-07 23:42:38,491 - ERROR - [SYSTEM] ERROR: Expected 'True' or 'False' at index 2 in ConfigTokenizer but got 'true'
2026-07-07 23:44:33,294 - INFO - [SYSTEM] Application initialized and ready.
2026-07-07 23:44:42,536 - INFO - [SYSTEM] Copied default config to ./outputs/exp2/config.toml. Ready for editing!
2026-07-07 23:44:44,836 - INFO - [SYSTEM] Initiating Scenario: 1. Train, Evaluate, & Noise Analysis
2026-07-07 23:44:44,839 - INFO - [SYSTEM] Starting Task 1/5: Load Image and ADNIMERGE
2026-07-07 23:44:44,840 - INFO - [Load Image and ADNIMERGE] Loading Files
2026-07-07 23:44:47,429 - INFO - [Load Image and ADNIMERGE] Dataloaders initalized
2026-07-07 23:44:47,434 - INFO - [Load Image and ADNIMERGE] Task completed.
2026-07-07 23:44:47,435 - INFO - [SYSTEM] Starting Task 2/5: Train Regular Models
2026-07-07 23:44:47,436 - INFO - [Train Regular Models] Starting normal model training...
2026-07-07 23:44:47,436 - INFO - [Train Regular Models] Intermediate models will be saved to outputs/exp2/normal_models/intermediate_models
2026-07-07 23:44:47,437 - INFO - [Train Regular Models] Training model 1/50...
2026-07-07 23:45:02,439 - INFO - [Train Regular Models] Epoch [1/30], Train Loss: 0.5988, Val Loss: 0.6774, Train Acc: 0.6863, Val Acc: 0.5570
2026-07-07 23:45:16,620 - INFO - [Train Regular Models] Epoch [2/30], Train Loss: 0.4517, Val Loss: 0.6813, Train Acc: 0.8631, Val Acc: 0.4966
2026-07-07 23:45:30,845 - INFO - [Train Regular Models] Epoch [3/30], Train Loss: 0.3659, Val Loss: 0.7556, Train Acc: 0.9202, Val Acc: 0.4832
2026-07-07 23:45:45,139 - INFO - [Train Regular Models] Epoch [4/30], Train Loss: 0.3124, Val Loss: 0.6634, Train Acc: 0.9715, Val Acc: 0.4899
2026-07-07 23:45:59,466 - INFO - [Train Regular Models] Epoch [5/30], Train Loss: 0.2674, Val Loss: 0.5152, Train Acc: 0.9734, Val Acc: 0.7651
2026-07-07 23:46:13,794 - INFO - [Train Regular Models] Epoch [6/30], Train Loss: 0.2362, Val Loss: 0.5708, Train Acc: 0.9810, Val Acc: 0.7987
2026-07-07 23:46:28,149 - INFO - [Train Regular Models] Epoch [7/30], Train Loss: 0.2227, Val Loss: 0.7055, Train Acc: 0.9829, Val Acc: 0.5503
2026-07-07 23:46:28,246 - INFO - [Train Regular Models] Model saved at epoch 7
2026-07-07 23:46:42,586 - INFO - [Train Regular Models] Epoch [8/30], Train Loss: 0.2107, Val Loss: 0.8692, Train Acc: 0.9734, Val Acc: 0.5168
2026-07-07 23:46:56,924 - INFO - [Train Regular Models] Epoch [9/30], Train Loss: 0.2310, Val Loss: 0.6027, Train Acc: 0.9715, Val Acc: 0.5772
2026-07-07 23:47:11,269 - INFO - [Train Regular Models] Epoch [10/30], Train Loss: 0.1790, Val Loss: 0.5413, Train Acc: 0.9810, Val Acc: 0.6846
2026-07-07 23:47:25,608 - INFO - [Train Regular Models] Epoch [11/30], Train Loss: 0.1858, Val Loss: 0.5737, Train Acc: 0.9753, Val Acc: 0.8121
2026-07-07 23:47:39,962 - INFO - [Train Regular Models] Epoch [12/30], Train Loss: 0.1628, Val Loss: 0.6267, Train Acc: 0.9791, Val Acc: 0.5772
2026-07-07 23:47:54,321 - INFO - [Train Regular Models] Epoch [13/30], Train Loss: 0.1556, Val Loss: 0.6652, Train Acc: 0.9772, Val Acc: 0.6174
2026-07-07 23:48:08,673 - INFO - [Train Regular Models] Epoch [14/30], Train Loss: 0.1475, Val Loss: 0.6061, Train Acc: 0.9848, Val Acc: 0.6309
2026-07-07 23:48:08,761 - INFO - [Train Regular Models] Model saved at epoch 14
2026-07-07 23:48:23,106 - INFO - [Train Regular Models] Epoch [15/30], Train Loss: 0.1268, Val Loss: 0.6765, Train Acc: 0.9829, Val Acc: 0.5235
2026-07-07 23:48:37,459 - INFO - [Train Regular Models] Epoch [16/30], Train Loss: 0.1323, Val Loss: 0.4715, Train Acc: 0.9829, Val Acc: 0.7987
2026-07-07 23:48:51,811 - INFO - [Train Regular Models] Epoch [17/30], Train Loss: 0.1211, Val Loss: 0.4280, Train Acc: 0.9810, Val Acc: 0.8121
2026-07-07 23:49:06,167 - INFO - [Train Regular Models] Epoch [18/30], Train Loss: 0.1296, Val Loss: 0.6625, Train Acc: 0.9791, Val Acc: 0.5503
2026-07-07 23:49:20,516 - INFO - [Train Regular Models] Epoch [19/30], Train Loss: 0.1093, Val Loss: 0.4699, Train Acc: 0.9829, Val Acc: 0.7517
2026-07-07 23:49:34,971 - INFO - [Train Regular Models] Epoch [20/30], Train Loss: 0.0989, Val Loss: 0.5191, Train Acc: 0.9848, Val Acc: 0.7181
2026-07-07 23:49:49,308 - INFO - [Train Regular Models] Epoch [21/30], Train Loss: 0.1026, Val Loss: 0.6802, Train Acc: 0.9886, Val Acc: 0.5839
2026-07-07 23:49:49,402 - INFO - [Train Regular Models] Model saved at epoch 21
2026-07-07 23:50:03,731 - INFO - [Train Regular Models] Epoch [22/30], Train Loss: 0.0917, Val Loss: 0.5392, Train Acc: 0.9829, Val Acc: 0.6644
2026-07-07 23:50:18,069 - INFO - [Train Regular Models] Epoch [23/30], Train Loss: 0.0925, Val Loss: 0.4311, Train Acc: 0.9791, Val Acc: 0.8188
2026-07-07 23:50:32,409 - INFO - [Train Regular Models] Epoch [24/30], Train Loss: 0.0852, Val Loss: 0.4381, Train Acc: 0.9810, Val Acc: 0.8389
2026-07-07 23:50:46,754 - INFO - [Train Regular Models] Epoch [25/30], Train Loss: 0.0855, Val Loss: 0.5525, Train Acc: 0.9867, Val Acc: 0.6242
2026-07-07 23:51:01,110 - INFO - [Train Regular Models] Epoch [26/30], Train Loss: 0.0784, Val Loss: 0.5054, Train Acc: 0.9848, Val Acc: 0.7785
2026-07-07 23:51:15,446 - INFO - [Train Regular Models] Epoch [27/30], Train Loss: 0.0831, Val Loss: 0.5432, Train Acc: 0.9848, Val Acc: 0.6443
2026-07-07 23:51:29,777 - INFO - [Train Regular Models] Epoch [28/30], Train Loss: 0.0686, Val Loss: 0.4149, Train Acc: 0.9886, Val Acc: 0.8389
2026-07-07 23:51:29,866 - INFO - [Train Regular Models] Model saved at epoch 28
2026-07-07 23:51:44,208 - INFO - [Train Regular Models] Epoch [29/30], Train Loss: 0.0676, Val Loss: 0.3909, Train Acc: 0.9810, Val Acc: 0.8523
2026-07-07 23:51:58,561 - INFO - [Train Regular Models] Epoch [30/30], Train Loss: 0.0719, Val Loss: 0.8435, Train Acc: 0.9848, Val Acc: 0.5369
2026-07-07 23:51:59,261 - INFO - [Train Regular Models] Run 1/50 - Test Loss: 0.6056, Test Accuracy: 0.6495
2026-07-07 23:51:59,364 - INFO - [Train Regular Models] Model saved to outputs/exp2/normal_models/model_1.pt
2026-07-07 23:51:59,633 - INFO - [Train Regular Models] Training model 2/50...
2026-07-07 23:52:14,066 - INFO - [Train Regular Models] Epoch [1/30], Train Loss: 0.6460, Val Loss: 0.7060, Train Acc: 0.6445, Val Acc: 0.4899
2026-07-07 23:52:28,410 - INFO - [Train Regular Models] Epoch [2/30], Train Loss: 0.4908, Val Loss: 0.6186, Train Acc: 0.8384, Val Acc: 0.7181
2026-07-07 23:52:42,760 - INFO - [Train Regular Models] Epoch [3/30], Train Loss: 0.4295, Val Loss: 0.5950, Train Acc: 0.9144, Val Acc: 0.6913
2026-07-07 23:52:57,106 - INFO - [Train Regular Models] Epoch [4/30], Train Loss: 0.3802, Val Loss: 0.6587, Train Acc: 0.9639, Val Acc: 0.5638
2026-07-07 23:53:11,456 - INFO - [Train Regular Models] Epoch [5/30], Train Loss: 0.3412, Val Loss: 0.6661, Train Acc: 0.9696, Val Acc: 0.5772
2026-07-07 23:53:25,804 - INFO - [Train Regular Models] Epoch [6/30], Train Loss: 0.3171, Val Loss: 0.6438, Train Acc: 0.9734, Val Acc: 0.5839
2026-07-07 23:53:40,156 - INFO - [Train Regular Models] Epoch [7/30], Train Loss: 0.2895, Val Loss: 0.5496, Train Acc: 0.9734, Val Acc: 0.6846
2026-07-07 23:53:40,294 - INFO - [Train Regular Models] Model saved at epoch 7
2026-07-07 23:53:54,646 - INFO - [Train Regular Models] Epoch [8/30], Train Loss: 0.2662, Val Loss: 0.5259, Train Acc: 0.9772, Val Acc: 0.8255
2026-07-07 23:54:09,010 - INFO - [Train Regular Models] Epoch [9/30], Train Loss: 0.2498, Val Loss: 0.6759, Train Acc: 0.9829, Val Acc: 0.5772
2026-07-07 23:54:23,368 - INFO - [Train Regular Models] Epoch [10/30], Train Loss: 0.2406, Val Loss: 0.4936, Train Acc: 0.9734, Val Acc: 0.8523
2026-07-07 23:54:37,708 - INFO - [Train Regular Models] Epoch [11/30], Train Loss: 0.2321, Val Loss: 0.5880, Train Acc: 0.9753, Val Acc: 0.6577
2026-07-07 23:54:52,060 - INFO - [Train Regular Models] Epoch [12/30], Train Loss: 0.2239, Val Loss: 0.7252, Train Acc: 0.9753, Val Acc: 0.5638
2026-07-07 23:55:06,420 - INFO - [Train Regular Models] Epoch [13/30], Train Loss: 0.2010, Val Loss: 0.7599, Train Acc: 0.9829, Val Acc: 0.5436
2026-07-07 23:55:20,750 - INFO - [Train Regular Models] Epoch [14/30], Train Loss: 0.1926, Val Loss: 0.5811, Train Acc: 0.9753, Val Acc: 0.6309
2026-07-07 23:55:20,881 - INFO - [Train Regular Models] Model saved at epoch 14
2026-07-07 23:55:35,238 - INFO - [Train Regular Models] Epoch [15/30], Train Loss: 0.1724, Val Loss: 0.6586, Train Acc: 0.9848, Val Acc: 0.5638
2026-07-07 23:55:49,589 - INFO - [Train Regular Models] Epoch [16/30], Train Loss: 0.1870, Val Loss: 0.6229, Train Acc: 0.9734, Val Acc: 0.5772
2026-07-07 23:56:03,939 - INFO - [Train Regular Models] Epoch [17/30], Train Loss: 0.1716, Val Loss: 0.5946, Train Acc: 0.9734, Val Acc: 0.6107
2026-07-07 23:56:18,289 - INFO - [Train Regular Models] Epoch [18/30], Train Loss: 0.1540, Val Loss: 0.6836, Train Acc: 0.9810, Val Acc: 0.5772
2026-07-07 23:56:32,641 - INFO - [Train Regular Models] Epoch [19/30], Train Loss: 0.1469, Val Loss: 0.8042, Train Acc: 0.9791, Val Acc: 0.5436
2026-07-07 23:56:46,998 - INFO - [Train Regular Models] Epoch [20/30], Train Loss: 0.1332, Val Loss: 0.5873, Train Acc: 0.9886, Val Acc: 0.6376
2026-07-07 23:57:01,335 - INFO - [Train Regular Models] Epoch [21/30], Train Loss: 0.1288, Val Loss: 0.4624, Train Acc: 0.9848, Val Acc: 0.7718
2026-07-07 23:57:01,467 - INFO - [Train Regular Models] Model saved at epoch 21
2026-07-07 23:57:15,812 - INFO - [Train Regular Models] Epoch [22/30], Train Loss: 0.1168, Val Loss: 0.5633, Train Acc: 0.9829, Val Acc: 0.6711
2026-07-07 23:57:30,163 - INFO - [Train Regular Models] Epoch [23/30], Train Loss: 0.1279, Val Loss: 0.4908, Train Acc: 0.9829, Val Acc: 0.8188
2026-07-07 23:57:44,504 - INFO - [Train Regular Models] Epoch [24/30], Train Loss: 0.1189, Val Loss: 0.5049, Train Acc: 0.9867, Val Acc: 0.7450
2026-07-07 23:57:58,843 - INFO - [Train Regular Models] Epoch [25/30], Train Loss: 0.1111, Val Loss: 0.5347, Train Acc: 0.9829, Val Acc: 0.6980
2026-07-07 23:58:13,193 - INFO - [Train Regular Models] Epoch [26/30], Train Loss: 0.0969, Val Loss: 0.6163, Train Acc: 0.9867, Val Acc: 0.6107
2026-07-07 23:58:27,554 - INFO - [Train Regular Models] Epoch [27/30], Train Loss: 0.1007, Val Loss: 0.4294, Train Acc: 0.9829, Val Acc: 0.8188
2026-07-07 23:58:41,904 - INFO - [Train Regular Models] Epoch [28/30], Train Loss: 0.0938, Val Loss: 0.6080, Train Acc: 0.9848, Val Acc: 0.6040
2026-07-07 23:58:42,034 - INFO - [Train Regular Models] Model saved at epoch 28
2026-07-07 23:58:56,375 - INFO - [Train Regular Models] Epoch [29/30], Train Loss: 0.0919, Val Loss: 0.5183, Train Acc: 0.9867, Val Acc: 0.6980
2026-07-07 23:59:10,718 - INFO - [Train Regular Models] Epoch [30/30], Train Loss: 0.0870, Val Loss: 0.5387, Train Acc: 0.9886, Val Acc: 0.6644
2026-07-07 23:59:11,395 - INFO - [Train Regular Models] Run 2/50 - Test Loss: 0.4164, Test Accuracy: 0.7938
2026-07-07 23:59:11,483 - INFO - [Train Regular Models] Model saved to outputs/exp2/normal_models/model_2.pt
2026-07-07 23:59:11,761 - INFO - [Train Regular Models] Training model 3/50...
2026-07-07 23:59:26,211 - INFO - [Train Regular Models] Epoch [1/30], Train Loss: 0.5464, Val Loss: 0.6425, Train Acc: 0.8061, Val Acc: 0.7114
2026-07-07 23:59:40,558 - INFO - [Train Regular Models] Epoch [2/30], Train Loss: 0.4258, Val Loss: 0.5892, Train Acc: 0.9316, Val Acc: 0.7919
2026-07-07 23:59:54,918 - INFO - [Train Regular Models] Epoch [3/30], Train Loss: 0.3906, Val Loss: 0.5350, Train Acc: 0.9487, Val Acc: 0.8456
2026-07-08 00:00:09,260 - INFO - [Train Regular Models] Epoch [4/30], Train Loss: 0.3363, Val Loss: 0.5485, Train Acc: 0.9715, Val Acc: 0.7181
2026-07-08 00:00:23,605 - INFO - [Train Regular Models] Epoch [5/30], Train Loss: 0.3088, Val Loss: 0.5170, Train Acc: 0.9715, Val Acc: 0.8456
2026-07-08 00:00:37,960 - INFO - [Train Regular Models] Epoch [6/30], Train Loss: 0.2832, Val Loss: 0.5551, Train Acc: 0.9696, Val Acc: 0.8188
2026-07-08 00:00:52,324 - INFO - [Train Regular Models] Epoch [7/30], Train Loss: 0.2756, Val Loss: 0.6875, Train Acc: 0.9677, Val Acc: 0.5503
2026-07-08 00:00:52,461 - INFO - [Train Regular Models] Model saved at epoch 7
2026-07-08 00:01:06,804 - INFO - [Train Regular Models] Epoch [8/30], Train Loss: 0.2526, Val Loss: 0.6073, Train Acc: 0.9715, Val Acc: 0.6309
2026-07-08 00:01:21,153 - INFO - [Train Regular Models] Epoch [9/30], Train Loss: 0.2352, Val Loss: 0.5923, Train Acc: 0.9772, Val Acc: 0.5906
2026-07-08 00:01:35,493 - INFO - [Train Regular Models] Epoch [10/30], Train Loss: 0.2159, Val Loss: 0.5506, Train Acc: 0.9791, Val Acc: 0.7114
2026-07-08 00:01:49,840 - INFO - [Train Regular Models] Epoch [11/30], Train Loss: 0.2014, Val Loss: 0.5502, Train Acc: 0.9772, Val Acc: 0.6644
2026-07-08 00:02:04,204 - INFO - [Train Regular Models] Epoch [12/30], Train Loss: 0.1865, Val Loss: 0.6347, Train Acc: 0.9886, Val Acc: 0.5973
2026-07-08 00:02:18,557 - INFO - [Train Regular Models] Epoch [13/30], Train Loss: 0.1671, Val Loss: 0.4521, Train Acc: 0.9753, Val Acc: 0.8389
2026-07-08 00:02:32,920 - INFO - [Train Regular Models] Epoch [14/30], Train Loss: 0.1858, Val Loss: 0.5306, Train Acc: 0.9658, Val Acc: 0.8188
2026-07-08 00:02:33,052 - INFO - [Train Regular Models] Model saved at epoch 14
2026-07-08 00:02:47,405 - INFO - [Train Regular Models] Epoch [15/30], Train Loss: 0.1645, Val Loss: 0.5667, Train Acc: 0.9810, Val Acc: 0.7047
2026-07-08 00:03:01,749 - INFO - [Train Regular Models] Epoch [16/30], Train Loss: 0.1612, Val Loss: 0.6132, Train Acc: 0.9867, Val Acc: 0.5772
2026-07-08 00:03:16,204 - INFO - [Train Regular Models] Epoch [17/30], Train Loss: 0.1429, Val Loss: 0.6235, Train Acc: 0.9829, Val Acc: 0.6711
2026-07-08 00:03:30,552 - INFO - [Train Regular Models] Epoch [18/30], Train Loss: 0.1414, Val Loss: 0.5035, Train Acc: 0.9867, Val Acc: 0.8389
2026-07-08 00:03:44,890 - INFO - [Train Regular Models] Epoch [19/30], Train Loss: 0.1314, Val Loss: 0.6260, Train Acc: 0.9848, Val Acc: 0.5973
2026-07-08 00:03:59,240 - INFO - [Train Regular Models] Epoch [20/30], Train Loss: 0.1230, Val Loss: 0.5351, Train Acc: 0.9810, Val Acc: 0.7383
2026-07-08 00:04:13,601 - INFO - [Train Regular Models] Epoch [21/30], Train Loss: 0.1154, Val Loss: 0.5500, Train Acc: 0.9848, Val Acc: 0.6577
2026-07-08 00:04:13,734 - INFO - [Train Regular Models] Model saved at epoch 21
2026-07-08 00:04:28,078 - INFO - [Train Regular Models] Epoch [22/30], Train Loss: 0.1065, Val Loss: 0.4489, Train Acc: 0.9848, Val Acc: 0.8255
2026-07-08 00:04:42,434 - INFO - [Train Regular Models] Epoch [23/30], Train Loss: 0.1042, Val Loss: 0.4787, Train Acc: 0.9791, Val Acc: 0.7584
2026-07-08 00:04:56,788 - INFO - [Train Regular Models] Epoch [24/30], Train Loss: 0.1047, Val Loss: 0.6119, Train Acc: 0.9791, Val Acc: 0.5973
2026-07-08 00:05:11,140 - INFO - [Train Regular Models] Epoch [25/30], Train Loss: 0.0935, Val Loss: 0.4899, Train Acc: 0.9867, Val Acc: 0.8054
2026-07-08 00:05:25,504 - INFO - [Train Regular Models] Epoch [26/30], Train Loss: 0.1009, Val Loss: 0.4722, Train Acc: 0.9848, Val Acc: 0.7919
2026-07-08 00:05:39,844 - INFO - [Train Regular Models] Epoch [27/30], Train Loss: 0.0825, Val Loss: 0.7348, Train Acc: 0.9848, Val Acc: 0.5638
2026-07-08 00:05:40,750 - ERROR - [SYSTEM] Stop requested! Terminating gracefully...
2026-07-08 00:05:41,494 - ERROR - [SYSTEM] STOPPED: Pipeline execution stopped by user.
2026-07-08 00:06:24,491 - INFO - [SYSTEM] Application initialized and ready.
2026-07-08 00:06:34,726 - INFO - [SYSTEM] Successfully loaded config from ./outputs/exp1/config.toml
2026-07-08 00:06:38,151 - INFO - [SYSTEM] Initiating Scenario: 1. Train, Evaluate, & Noise Analysis
2026-07-08 00:06:38,154 - INFO - [SYSTEM] Starting Task 1/5: Load Image and ADNIMERGE
2026-07-08 00:06:38,155 - INFO - [Load Image and ADNIMERGE] Loading Files
2026-07-08 00:06:40,730 - INFO - [Load Image and ADNIMERGE] Dataloaders initalized
2026-07-08 00:06:40,735 - INFO - [Load Image and ADNIMERGE] Task completed.
2026-07-08 00:06:40,736 - INFO - [SYSTEM] Starting Task 2/5: Train Regular Models
2026-07-08 00:06:40,737 - INFO - [Train Regular Models] Starting normal model training...
2026-07-08 00:06:40,737 - INFO - [Train Regular Models] Intermediate models will be saved to outputs/exp1/normal_models/intermediate_models
2026-07-08 00:06:40,738 - INFO - [Train Regular Models] Training model 1/3...
2026-07-08 00:06:55,866 - INFO - [Train Regular Models] Epoch [1/30], Train Loss: 0.5781, Val Loss: 0.6663, Train Acc: 0.7510, Val Acc: 0.6242
2026-07-08 00:07:10,105 - INFO - [Train Regular Models] Epoch [2/30], Train Loss: 0.4435, Val Loss: 0.5940, Train Acc: 0.8859, Val Acc: 0.7248
2026-07-08 00:07:24,388 - INFO - [Train Regular Models] Epoch [3/30], Train Loss: 0.3795, Val Loss: 0.5657, Train Acc: 0.9411, Val Acc: 0.6846
2026-07-08 00:07:38,704 - INFO - [Train Regular Models] Epoch [4/30], Train Loss: 0.3532, Val Loss: 0.5478, Train Acc: 0.9544, Val Acc: 0.6980
2026-07-08 00:07:53,087 - INFO - [Train Regular Models] Epoch [5/30], Train Loss: 0.3132, Val Loss: 0.6986, Train Acc: 0.9658, Val Acc: 0.5503
2026-07-08 00:08:07,471 - INFO - [Train Regular Models] Epoch [6/30], Train Loss: 0.3196, Val Loss: 0.6372, Train Acc: 0.9620, Val Acc: 0.5839
2026-07-08 00:08:21,870 - INFO - [Train Regular Models] Epoch [7/30], Train Loss: 0.2833, Val Loss: 0.7402, Train Acc: 0.9715, Val Acc: 0.5503
2026-07-08 00:08:21,970 - INFO - [Train Regular Models] Model saved at epoch 7
2026-07-08 00:08:36,364 - INFO - [Train Regular Models] Epoch [8/30], Train Loss: 0.2652, Val Loss: 0.6051, Train Acc: 0.9753, Val Acc: 0.5973
2026-07-08 00:08:50,759 - INFO - [Train Regular Models] Epoch [9/30], Train Loss: 0.2387, Val Loss: 0.5096, Train Acc: 0.9715, Val Acc: 0.7315
2026-07-08 00:09:05,163 - INFO - [Train Regular Models] Epoch [10/30], Train Loss: 0.2328, Val Loss: 0.5193, Train Acc: 0.9810, Val Acc: 0.7315
2026-07-08 00:09:19,552 - INFO - [Train Regular Models] Epoch [11/30], Train Loss: 0.2022, Val Loss: 0.4929, Train Acc: 0.9810, Val Acc: 0.8591
2026-07-08 00:09:33,940 - INFO - [Train Regular Models] Epoch [12/30], Train Loss: 0.1841, Val Loss: 0.4870, Train Acc: 0.9867, Val Acc: 0.7919
2026-07-08 00:09:48,337 - INFO - [Train Regular Models] Epoch [13/30], Train Loss: 0.1790, Val Loss: 0.5048, Train Acc: 0.9791, Val Acc: 0.6980
2026-07-08 00:10:02,734 - INFO - [Train Regular Models] Epoch [14/30], Train Loss: 0.1669, Val Loss: 0.5807, Train Acc: 0.9829, Val Acc: 0.6107
2026-07-08 00:10:02,824 - INFO - [Train Regular Models] Model saved at epoch 14
2026-07-08 00:10:17,214 - INFO - [Train Regular Models] Epoch [15/30], Train Loss: 0.1697, Val Loss: 0.9612, Train Acc: 0.9810, Val Acc: 0.4899
2026-07-08 00:10:31,609 - INFO - [Train Regular Models] Epoch [16/30], Train Loss: 0.1613, Val Loss: 0.5998, Train Acc: 0.9810, Val Acc: 0.5772
2026-07-08 00:10:45,982 - INFO - [Train Regular Models] Epoch [17/30], Train Loss: 0.1501, Val Loss: 0.5639, Train Acc: 0.9734, Val Acc: 0.7047
2026-07-08 00:11:00,372 - INFO - [Train Regular Models] Epoch [18/30], Train Loss: 0.1421, Val Loss: 0.5669, Train Acc: 0.9791, Val Acc: 0.7450
2026-07-08 00:11:14,767 - INFO - [Train Regular Models] Epoch [19/30], Train Loss: 0.1332, Val Loss: 0.5990, Train Acc: 0.9810, Val Acc: 0.7315
2026-07-08 00:11:29,168 - INFO - [Train Regular Models] Epoch [20/30], Train Loss: 0.1245, Val Loss: 0.4664, Train Acc: 0.9829, Val Acc: 0.8658
2026-07-08 00:11:43,564 - INFO - [Train Regular Models] Epoch [21/30], Train Loss: 0.1183, Val Loss: 0.5506, Train Acc: 0.9829, Val Acc: 0.6510
2026-07-08 00:11:43,656 - INFO - [Train Regular Models] Model saved at epoch 21
2026-07-08 00:11:58,039 - INFO - [Train Regular Models] Epoch [22/30], Train Loss: 0.1113, Val Loss: 0.5285, Train Acc: 0.9829, Val Acc: 0.7919
2026-07-08 00:12:12,517 - INFO - [Train Regular Models] Epoch [23/30], Train Loss: 0.1080, Val Loss: 0.6438, Train Acc: 0.9810, Val Acc: 0.5906
2026-07-08 00:12:26,904 - INFO - [Train Regular Models] Epoch [24/30], Train Loss: 0.1057, Val Loss: 0.5118, Train Acc: 0.9848, Val Acc: 0.7383
2026-07-08 00:12:41,286 - INFO - [Train Regular Models] Epoch [25/30], Train Loss: 0.0973, Val Loss: 0.5503, Train Acc: 0.9848, Val Acc: 0.6779
2026-07-08 00:12:55,651 - INFO - [Train Regular Models] Epoch [26/30], Train Loss: 0.1044, Val Loss: 0.5491, Train Acc: 0.9829, Val Acc: 0.7785
2026-07-08 00:13:10,036 - INFO - [Train Regular Models] Epoch [27/30], Train Loss: 0.0996, Val Loss: 0.5606, Train Acc: 0.9829, Val Acc: 0.6980
2026-07-08 00:13:24,420 - INFO - [Train Regular Models] Epoch [28/30], Train Loss: 0.0843, Val Loss: 0.4561, Train Acc: 0.9867, Val Acc: 0.7785
2026-07-08 00:13:24,509 - INFO - [Train Regular Models] Model saved at epoch 28
2026-07-08 00:13:38,894 - INFO - [Train Regular Models] Epoch [29/30], Train Loss: 0.0812, Val Loss: 0.5308, Train Acc: 0.9886, Val Acc: 0.7785
2026-07-08 00:13:53,281 - INFO - [Train Regular Models] Epoch [30/30], Train Loss: 0.0887, Val Loss: 0.4591, Train Acc: 0.9791, Val Acc: 0.8322
2026-07-08 00:13:53,973 - INFO - [Train Regular Models] Run 1/3 - Test Loss: 0.3966, Test Accuracy: 0.8763
2026-07-08 00:13:54,078 - INFO - [Train Regular Models] Model saved to outputs/exp1/normal_models/model_1.pt
2026-07-08 00:13:54,345 - INFO - [Train Regular Models] Training model 2/3...
2026-07-08 00:14:08,824 - INFO - [Train Regular Models] Epoch [1/30], Train Loss: 0.5572, Val Loss: 0.6509, Train Acc: 0.7814, Val Acc: 0.5503
2026-07-08 00:14:23,196 - INFO - [Train Regular Models] Epoch [2/30], Train Loss: 0.4244, Val Loss: 0.5700, Train Acc: 0.8916, Val Acc: 0.7584
2026-07-08 00:14:37,576 - INFO - [Train Regular Models] Epoch [3/30], Train Loss: 0.3840, Val Loss: 0.6195, Train Acc: 0.9221, Val Acc: 0.6107
2026-07-08 00:14:51,953 - INFO - [Train Regular Models] Epoch [4/30], Train Loss: 0.3291, Val Loss: 0.5749, Train Acc: 0.9620, Val Acc: 0.6309
2026-07-08 00:15:06,336 - INFO - [Train Regular Models] Epoch [5/30], Train Loss: 0.3090, Val Loss: 0.5754, Train Acc: 0.9753, Val Acc: 0.6711
2026-07-08 00:15:20,719 - INFO - [Train Regular Models] Epoch [6/30], Train Loss: 0.2822, Val Loss: 0.5733, Train Acc: 0.9715, Val Acc: 0.6107
2026-07-08 00:15:35,114 - INFO - [Train Regular Models] Epoch [7/30], Train Loss: 0.2556, Val Loss: 0.5580, Train Acc: 0.9772, Val Acc: 0.6913
2026-07-08 00:15:35,251 - INFO - [Train Regular Models] Model saved at epoch 7
2026-07-08 00:15:49,621 - INFO - [Train Regular Models] Epoch [8/30], Train Loss: 0.2384, Val Loss: 0.4849, Train Acc: 0.9753, Val Acc: 0.8322
2026-07-08 00:16:04,003 - INFO - [Train Regular Models] Epoch [9/30], Train Loss: 0.2239, Val Loss: 0.5898, Train Acc: 0.9772, Val Acc: 0.7718
2026-07-08 00:16:18,386 - INFO - [Train Regular Models] Epoch [10/30], Train Loss: 0.2104, Val Loss: 0.6179, Train Acc: 0.9772, Val Acc: 0.5973
2026-07-08 00:16:32,780 - INFO - [Train Regular Models] Epoch [11/30], Train Loss: 0.1948, Val Loss: 0.6363, Train Acc: 0.9810, Val Acc: 0.5839
2026-07-08 00:16:47,152 - INFO - [Train Regular Models] Epoch [12/30], Train Loss: 0.1691, Val Loss: 0.4814, Train Acc: 0.9867, Val Acc: 0.8255
2026-07-08 00:17:01,530 - INFO - [Train Regular Models] Epoch [13/30], Train Loss: 0.1811, Val Loss: 0.6061, Train Acc: 0.9848, Val Acc: 0.6107
2026-07-08 00:17:15,903 - INFO - [Train Regular Models] Epoch [14/30], Train Loss: 0.1657, Val Loss: 0.5200, Train Acc: 0.9810, Val Acc: 0.7248
2026-07-08 00:17:16,036 - INFO - [Train Regular Models] Model saved at epoch 14
2026-07-08 00:17:30,436 - INFO - [Train Regular Models] Epoch [15/30], Train Loss: 0.1632, Val Loss: 0.7477, Train Acc: 0.9791, Val Acc: 0.5772
2026-07-08 00:17:44,820 - INFO - [Train Regular Models] Epoch [16/30], Train Loss: 0.1430, Val Loss: 0.6611, Train Acc: 0.9829, Val Acc: 0.5705
2026-07-08 00:17:59,200 - INFO - [Train Regular Models] Epoch [17/30], Train Loss: 0.1345, Val Loss: 0.5500, Train Acc: 0.9848, Val Acc: 0.6376
2026-07-08 00:18:13,588 - INFO - [Train Regular Models] Epoch [18/30], Train Loss: 0.1346, Val Loss: 0.5634, Train Acc: 0.9791, Val Acc: 0.6174
2026-07-08 00:18:27,966 - INFO - [Train Regular Models] Epoch [19/30], Train Loss: 0.1259, Val Loss: 0.5657, Train Acc: 0.9810, Val Acc: 0.6577
2026-07-08 00:18:42,350 - INFO - [Train Regular Models] Epoch [20/30], Train Loss: 0.1425, Val Loss: 0.9816, Train Acc: 0.9829, Val Acc: 0.5101
2026-07-08 00:18:56,733 - INFO - [Train Regular Models] Epoch [21/30], Train Loss: 0.1162, Val Loss: 0.5702, Train Acc: 0.9829, Val Acc: 0.6376
2026-07-08 00:18:56,864 - INFO - [Train Regular Models] Model saved at epoch 21
2026-07-08 00:19:11,263 - INFO - [Train Regular Models] Epoch [22/30], Train Loss: 0.1083, Val Loss: 0.4838, Train Acc: 0.9848, Val Acc: 0.8121
2026-07-08 00:19:25,655 - INFO - [Train Regular Models] Epoch [23/30], Train Loss: 0.1057, Val Loss: 0.4557, Train Acc: 0.9848, Val Acc: 0.7651
2026-07-08 00:19:40,058 - INFO - [Train Regular Models] Epoch [24/30], Train Loss: 0.1055, Val Loss: 0.5828, Train Acc: 0.9829, Val Acc: 0.6242
2026-07-08 00:19:54,458 - INFO - [Train Regular Models] Epoch [25/30], Train Loss: 0.1187, Val Loss: 0.4799, Train Acc: 0.9848, Val Acc: 0.8255
2026-07-08 00:20:08,855 - INFO - [Train Regular Models] Epoch [26/30], Train Loss: 0.0932, Val Loss: 0.4705, Train Acc: 0.9848, Val Acc: 0.7718
2026-07-08 00:20:23,260 - INFO - [Train Regular Models] Epoch [27/30], Train Loss: 0.0860, Val Loss: 0.4911, Train Acc: 0.9810, Val Acc: 0.7315
2026-07-08 00:20:37,639 - INFO - [Train Regular Models] Epoch [28/30], Train Loss: 0.0840, Val Loss: 0.4949, Train Acc: 0.9848, Val Acc: 0.7919
2026-07-08 00:20:37,773 - INFO - [Train Regular Models] Model saved at epoch 28
2026-07-08 00:20:52,170 - INFO - [Train Regular Models] Epoch [29/30], Train Loss: 0.0952, Val Loss: 0.4501, Train Acc: 0.9848, Val Acc: 0.8121
2026-07-08 00:21:06,673 - INFO - [Train Regular Models] Epoch [30/30], Train Loss: 0.0929, Val Loss: 0.8012, Train Acc: 0.9867, Val Acc: 0.5705
2026-07-08 00:21:07,362 - INFO - [Train Regular Models] Run 2/3 - Test Loss: 0.5541, Test Accuracy: 0.6598
2026-07-08 00:21:07,456 - INFO - [Train Regular Models] Model saved to outputs/exp1/normal_models/model_2.pt
2026-07-08 00:21:07,721 - INFO - [Train Regular Models] Training model 3/3...
2026-07-08 00:21:22,193 - INFO - [Train Regular Models] Epoch [1/30], Train Loss: 0.5572, Val Loss: 0.8566, Train Acc: 0.6863, Val Acc: 0.4631
2026-07-08 00:21:36,577 - INFO - [Train Regular Models] Epoch [2/30], Train Loss: 0.4454, Val Loss: 0.7267, Train Acc: 0.8080, Val Acc: 0.4832
2026-07-08 00:21:50,972 - INFO - [Train Regular Models] Epoch [3/30], Train Loss: 0.3922, Val Loss: 0.8255, Train Acc: 0.8783, Val Acc: 0.4631
2026-07-08 00:22:05,373 - INFO - [Train Regular Models] Epoch [4/30], Train Loss: 0.3813, Val Loss: 0.9995, Train Acc: 0.8783, Val Acc: 0.4631
2026-07-08 00:22:19,769 - INFO - [Train Regular Models] Epoch [5/30], Train Loss: 0.3363, Val Loss: 0.7541, Train Acc: 0.9544, Val Acc: 0.4765
2026-07-08 00:22:34,154 - INFO - [Train Regular Models] Epoch [6/30], Train Loss: 0.3080, Val Loss: 0.6512, Train Acc: 0.9601, Val Acc: 0.6040
2026-07-08 00:22:48,542 - INFO - [Train Regular Models] Epoch [7/30], Train Loss: 0.2923, Val Loss: 0.7748, Train Acc: 0.9734, Val Acc: 0.4899
2026-07-08 00:22:48,682 - INFO - [Train Regular Models] Model saved at epoch 7
2026-07-08 00:23:03,070 - INFO - [Train Regular Models] Epoch [8/30], Train Loss: 0.2716, Val Loss: 0.5976, Train Acc: 0.9734, Val Acc: 0.5906
2026-07-08 00:23:17,462 - INFO - [Train Regular Models] Epoch [9/30], Train Loss: 0.2554, Val Loss: 0.6406, Train Acc: 0.9829, Val Acc: 0.5839
2026-07-08 00:23:31,848 - INFO - [Train Regular Models] Epoch [10/30], Train Loss: 0.2467, Val Loss: 0.6147, Train Acc: 0.9753, Val Acc: 0.6644
2026-07-08 00:23:46,223 - INFO - [Train Regular Models] Epoch [11/30], Train Loss: 0.2402, Val Loss: 0.6437, Train Acc: 0.9829, Val Acc: 0.5503
2026-07-08 00:24:00,620 - INFO - [Train Regular Models] Epoch [12/30], Train Loss: 0.2135, Val Loss: 0.7625, Train Acc: 0.9791, Val Acc: 0.5235
2026-07-08 00:24:15,009 - INFO - [Train Regular Models] Epoch [13/30], Train Loss: 0.2046, Val Loss: 0.6169, Train Acc: 0.9848, Val Acc: 0.5705
2026-07-08 00:24:29,404 - INFO - [Train Regular Models] Epoch [14/30], Train Loss: 0.2064, Val Loss: 0.5363, Train Acc: 0.9658, Val Acc: 0.7315
2026-07-08 00:24:29,536 - INFO - [Train Regular Models] Model saved at epoch 14
2026-07-08 00:24:43,939 - INFO - [Train Regular Models] Epoch [15/30], Train Loss: 0.1911, Val Loss: 0.5674, Train Acc: 0.9772, Val Acc: 0.6577
2026-07-08 00:24:58,322 - INFO - [Train Regular Models] Epoch [16/30], Train Loss: 0.1871, Val Loss: 0.6471, Train Acc: 0.9753, Val Acc: 0.5906
2026-07-08 00:25:12,708 - INFO - [Train Regular Models] Epoch [17/30], Train Loss: 0.1953, Val Loss: 0.7634, Train Acc: 0.9753, Val Acc: 0.4966
2026-07-08 00:25:27,097 - INFO - [Train Regular Models] Epoch [18/30], Train Loss: 0.1603, Val Loss: 0.6293, Train Acc: 0.9867, Val Acc: 0.5772
2026-07-08 00:25:41,487 - INFO - [Train Regular Models] Epoch [19/30], Train Loss: 0.1702, Val Loss: 0.7457, Train Acc: 0.9734, Val Acc: 0.5369
2026-07-08 00:25:55,859 - INFO - [Train Regular Models] Epoch [20/30], Train Loss: 0.1605, Val Loss: 0.6624, Train Acc: 0.9791, Val Acc: 0.5570
2026-07-08 00:26:10,248 - INFO - [Train Regular Models] Epoch [21/30], Train Loss: 0.1508, Val Loss: 0.5531, Train Acc: 0.9772, Val Acc: 0.6376
2026-07-08 00:26:10,382 - INFO - [Train Regular Models] Model saved at epoch 21
2026-07-08 00:26:24,789 - INFO - [Train Regular Models] Epoch [22/30], Train Loss: 0.1414, Val Loss: 0.5919, Train Acc: 0.9848, Val Acc: 0.6174
2026-07-08 00:26:39,199 - INFO - [Train Regular Models] Epoch [23/30], Train Loss: 0.1222, Val Loss: 0.5774, Train Acc: 0.9829, Val Acc: 0.6309
2026-07-08 00:26:53,587 - INFO - [Train Regular Models] Epoch [24/30], Train Loss: 0.1249, Val Loss: 0.6473, Train Acc: 0.9829, Val Acc: 0.5705
2026-07-08 00:27:07,976 - INFO - [Train Regular Models] Epoch [25/30], Train Loss: 0.1343, Val Loss: 0.4817, Train Acc: 0.9734, Val Acc: 0.7718
2026-07-08 00:27:22,372 - INFO - [Train Regular Models] Epoch [26/30], Train Loss: 0.1164, Val Loss: 0.6104, Train Acc: 0.9829, Val Acc: 0.6107
2026-07-08 00:27:36,769 - INFO - [Train Regular Models] Epoch [27/30], Train Loss: 0.1146, Val Loss: 0.5914, Train Acc: 0.9848, Val Acc: 0.6040
2026-07-08 00:27:51,166 - INFO - [Train Regular Models] Epoch [28/30], Train Loss: 0.1126, Val Loss: 0.5165, Train Acc: 0.9829, Val Acc: 0.8188
2026-07-08 00:27:51,300 - INFO - [Train Regular Models] Model saved at epoch 28
2026-07-08 00:28:05,702 - INFO - [Train Regular Models] Epoch [29/30], Train Loss: 0.0989, Val Loss: 0.5046, Train Acc: 0.9867, Val Acc: 0.8054
2026-07-08 00:28:20,085 - INFO - [Train Regular Models] Epoch [30/30], Train Loss: 0.0900, Val Loss: 0.5904, Train Acc: 0.9867, Val Acc: 0.6107
2026-07-08 00:28:20,765 - INFO - [Train Regular Models] Run 3/3 - Test Loss: 0.4318, Test Accuracy: 0.7216
2026-07-08 00:28:20,862 - INFO - [Train Regular Models] Model saved to outputs/exp1/normal_models/model_3.pt
2026-07-08 00:28:21,142 - INFO - [Train Regular Models] All models trained and saved successfully.
2026-07-08 00:28:21,143 - INFO - [Train Regular Models] Task completed.
2026-07-08 00:28:21,144 - INFO - [SYSTEM] Starting Task 3/5: Train Bayesian Models
2026-07-08 00:28:21,145 - INFO - [Train Bayesian Models] Starting bayesian model training...
2026-07-08 00:28:21,145 - INFO - [Train Bayesian Models] Intermediate models will be saved to outputs/exp1/bayesian_models/intermediate_models
2026-07-08 00:28:21,146 - INFO - [Train Bayesian Models] Training model 1/3...
2026-07-08 00:28:21,403 - ERROR - Pipeline failed: module 'bayesian_torch.layers' has no attribute 'Conv3dReparameterizationReparameterization'
Traceback (most recent call last):
  File "/home/nschense/Documents/Medphys_Research/alnn_rewrite/main.py", line 256, in run_background_pipeline
    task_func(task_tracker, task_logger, config, pipeline_state)
    ~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/nschense/Documents/Medphys_Research/alnn_rewrite/tasks/train_bayesian.py", line 91, in train_bayesian_task
    dnn_to_bnn(model, bnn_prior_parameters)
    ~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/nschense/Documents/Medphys_Research/alnn_rewrite/.venv/lib64/python3.14/site-packages/bayesian_torch/models/dnn_to_bnn.py", line 130, in dnn_to_bnn
    dnn_to_bnn(m._modules[name], bnn_prior_parameters)
    ~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/nschense/Documents/Medphys_Research/alnn_rewrite/.venv/lib64/python3.14/site-packages/bayesian_torch/models/dnn_to_bnn.py", line 130, in dnn_to_bnn
    dnn_to_bnn(m._modules[name], bnn_prior_parameters)
    ~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/nschense/Documents/Medphys_Research/alnn_rewrite/.venv/lib64/python3.14/site-packages/bayesian_torch/models/dnn_to_bnn.py", line 130, in dnn_to_bnn
    dnn_to_bnn(m._modules[name], bnn_prior_parameters)
    ~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/nschense/Documents/Medphys_Research/alnn_rewrite/.venv/lib64/python3.14/site-packages/bayesian_torch/models/dnn_to_bnn.py", line 135, in dnn_to_bnn
    bnn_conv_layer(
    ~~~~~~~~~~~~~~^
        bnn_prior_parameters,
        ^^^^^^^^^^^^^^^^^^^^^
        m._modules[name]))
        ^^^^^^^^^^^^^^^^^
  File "/home/nschense/Documents/Medphys_Research/alnn_rewrite/.venv/lib64/python3.14/site-packages/bayesian_torch/models/dnn_to_bnn.py", line 78, in bnn_conv_layer
    layer_fn = getattr(bayesian_layers, layer_type)  # Get BNN layer
AttributeError: module 'bayesian_torch.layers' has no attribute 'Conv3dReparameterizationReparameterization'
2026-07-08 00:28:21,404 - ERROR - [SYSTEM] ERROR: module 'bayesian_torch.layers' has no attribute 'Conv3dReparameterizationReparameterization'
2026-07-08 00:36:30,191 - INFO - [SYSTEM] Application initialized and ready.
2026-07-08 00:36:36,319 - INFO - [SYSTEM] Successfully loaded config from ./outputs/exp1/config.toml
2026-07-08 00:36:39,288 - INFO - [SYSTEM] Initiating Scenario: 1. Train, Evaluate, & Noise Analysis
2026-07-08 00:36:39,291 - INFO - [SYSTEM] Starting Task 1/5: Load Image and ADNIMERGE
2026-07-08 00:36:39,291 - INFO - [Load Image and ADNIMERGE] Loading Files
2026-07-08 00:36:41,890 - INFO - [Load Image and ADNIMERGE] Dataloaders initalized
2026-07-08 00:36:41,891 - INFO - [Load Image and ADNIMERGE] Task completed.
2026-07-08 00:36:41,895 - INFO - [SYSTEM] Starting Task 2/5: Train Regular Models
2026-07-08 00:36:41,896 - INFO - [Train Regular Models] Starting normal model training...
2026-07-08 00:36:41,896 - INFO - [Train Regular Models] Intermediate models will be saved to outputs/exp1/normal_models/intermediate_models
2026-07-08 00:36:41,897 - INFO - [Train Regular Models] Training model 1/1...
2026-07-08 00:36:56,978 - INFO - [Train Regular Models] Epoch [1/30], Train Loss: 0.5711, Val Loss: 0.6639, Train Acc: 0.7072, Val Acc: 0.7248
2026-07-08 00:37:11,164 - INFO - [Train Regular Models] Epoch [2/30], Train Loss: 0.4657, Val Loss: 0.7017, Train Acc: 0.8137, Val Acc: 0.5302
2026-07-08 00:37:25,382 - INFO - [Train Regular Models] Epoch [3/30], Train Loss: 0.4026, Val Loss: 0.7230, Train Acc: 0.8954, Val Acc: 0.5034
2026-07-08 00:37:39,690 - INFO - [Train Regular Models] Epoch [4/30], Train Loss: 0.3698, Val Loss: 0.6492, Train Acc: 0.9221, Val Acc: 0.5570
2026-07-08 00:37:53,994 - INFO - [Train Regular Models] Epoch [5/30], Train Loss: 0.3217, Val Loss: 0.5782, Train Acc: 0.9620, Val Acc: 0.7651
2026-07-08 00:38:08,334 - INFO - [Train Regular Models] Epoch [6/30], Train Loss: 0.2877, Val Loss: 0.7763, Train Acc: 0.9734, Val Acc: 0.5034
2026-07-08 00:38:22,703 - INFO - [Train Regular Models] Epoch [7/30], Train Loss: 0.2673, Val Loss: 0.6497, Train Acc: 0.9810, Val Acc: 0.5503
2026-07-08 00:38:22,799 - INFO - [Train Regular Models] Model saved at epoch 7
2026-07-08 00:38:37,181 - INFO - [Train Regular Models] Epoch [8/30], Train Loss: 0.2526, Val Loss: 0.7038, Train Acc: 0.9810, Val Acc: 0.5436
2026-07-08 00:38:51,538 - INFO - [Train Regular Models] Epoch [9/30], Train Loss: 0.2446, Val Loss: 0.5974, Train Acc: 0.9791, Val Acc: 0.5973
2026-07-08 00:39:05,908 - INFO - [Train Regular Models] Epoch [10/30], Train Loss: 0.2381, Val Loss: 0.6177, Train Acc: 0.9715, Val Acc: 0.6309
2026-07-08 00:39:20,267 - INFO - [Train Regular Models] Epoch [11/30], Train Loss: 0.2046, Val Loss: 0.6750, Train Acc: 0.9810, Val Acc: 0.5638
2026-07-08 00:39:34,624 - INFO - [Train Regular Models] Epoch [12/30], Train Loss: 0.2025, Val Loss: 0.7757, Train Acc: 0.9772, Val Acc: 0.5302
2026-07-08 00:39:48,998 - INFO - [Train Regular Models] Epoch [13/30], Train Loss: 0.1668, Val Loss: 0.6402, Train Acc: 0.9867, Val Acc: 0.5839
2026-07-08 00:40:03,347 - INFO - [Train Regular Models] Epoch [14/30], Train Loss: 0.1760, Val Loss: 0.6179, Train Acc: 0.9772, Val Acc: 0.5906
2026-07-08 00:40:03,439 - INFO - [Train Regular Models] Model saved at epoch 14
2026-07-08 00:40:17,808 - INFO - [Train Regular Models] Epoch [15/30], Train Loss: 0.1504, Val Loss: 0.8002, Train Acc: 0.9848, Val Acc: 0.5503
2026-07-08 00:40:32,168 - INFO - [Train Regular Models] Epoch [16/30], Train Loss: 0.1392, Val Loss: 0.7660, Train Acc: 0.9867, Val Acc: 0.5302
2026-07-08 00:40:46,537 - INFO - [Train Regular Models] Epoch [17/30], Train Loss: 0.1379, Val Loss: 0.7277, Train Acc: 0.9886, Val Acc: 0.5705
2026-07-08 00:41:00,957 - INFO - [Train Regular Models] Epoch [18/30], Train Loss: 0.1302, Val Loss: 0.5244, Train Acc: 0.9810, Val Acc: 0.6846
2026-07-08 00:41:15,375 - INFO - [Train Regular Models] Epoch [19/30], Train Loss: 0.1323, Val Loss: 0.6825, Train Acc: 0.9829, Val Acc: 0.5705
2026-07-08 00:41:29,777 - INFO - [Train Regular Models] Epoch [20/30], Train Loss: 0.1227, Val Loss: 0.5189, Train Acc: 0.9791, Val Acc: 0.7785
2026-07-08 00:41:44,190 - INFO - [Train Regular Models] Epoch [21/30], Train Loss: 0.1184, Val Loss: 0.6989, Train Acc: 0.9867, Val Acc: 0.5705
2026-07-08 00:41:44,280 - INFO - [Train Regular Models] Model saved at epoch 21
2026-07-08 00:41:58,694 - INFO - [Train Regular Models] Epoch [22/30], Train Loss: 0.1342, Val Loss: 1.0438, Train Acc: 0.9715, Val Acc: 0.4966
2026-07-08 00:42:13,095 - INFO - [Train Regular Models] Epoch [23/30], Train Loss: 0.0966, Val Loss: 0.7316, Train Acc: 0.9829, Val Acc: 0.5503
2026-07-08 00:42:27,493 - INFO - [Train Regular Models] Epoch [24/30], Train Loss: 0.1013, Val Loss: 0.6301, Train Acc: 0.9867, Val Acc: 0.6107
2026-07-08 00:42:41,905 - INFO - [Train Regular Models] Epoch [25/30], Train Loss: 0.0966, Val Loss: 0.5920, Train Acc: 0.9829, Val Acc: 0.6376
2026-07-08 00:42:56,314 - INFO - [Train Regular Models] Epoch [26/30], Train Loss: 0.1000, Val Loss: 0.9743, Train Acc: 0.9810, Val Acc: 0.5235
2026-07-08 00:43:10,715 - INFO - [Train Regular Models] Epoch [27/30], Train Loss: 0.1022, Val Loss: 0.6421, Train Acc: 0.9810, Val Acc: 0.5906
2026-07-08 00:43:25,113 - INFO - [Train Regular Models] Epoch [28/30], Train Loss: 0.0837, Val Loss: 0.6173, Train Acc: 0.9867, Val Acc: 0.6174
2026-07-08 00:43:25,206 - INFO - [Train Regular Models] Model saved at epoch 28
2026-07-08 00:43:39,594 - INFO - [Train Regular Models] Epoch [29/30], Train Loss: 0.0918, Val Loss: 0.5776, Train Acc: 0.9791, Val Acc: 0.6510
2026-07-08 00:43:54,004 - INFO - [Train Regular Models] Epoch [30/30], Train Loss: 0.0830, Val Loss: 0.5306, Train Acc: 0.9829, Val Acc: 0.7181
2026-07-08 00:43:54,707 - INFO - [Train Regular Models] Run 1/1 - Test Loss: 0.4646, Test Accuracy: 0.8557
2026-07-08 00:43:54,808 - INFO - [Train Regular Models] Model saved to outputs/exp1/normal_models/model_1.pt
2026-07-08 00:43:55,070 - INFO - [Train Regular Models] All models trained and saved successfully.
2026-07-08 00:43:55,071 - INFO - [Train Regular Models] Task completed.
2026-07-08 00:43:55,072 - INFO - [SYSTEM] Starting Task 3/5: Train Bayesian Models
2026-07-08 00:43:55,073 - INFO - [Train Bayesian Models] Starting bayesian model training...
2026-07-08 00:43:55,073 - INFO - [Train Bayesian Models] Intermediate models will be saved to outputs/exp1/bayesian_models/intermediate_models
2026-07-08 00:43:55,074 - INFO - [Train Bayesian Models] Training model 1/1...
2026-07-08 00:43:55,324 - ERROR - Pipeline failed: module 'bayesian_torch.layers' has no attribute 'Conv3dReparameterizationReparameterization'
Traceback (most recent call last):
  File "/home/nschense/Documents/Medphys_Research/alnn_rewrite/main.py", line 256, in run_background_pipeline
    task_func(task_tracker, task_logger, config, pipeline_state)
    ~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/nschense/Documents/Medphys_Research/alnn_rewrite/tasks/train_bayesian.py", line 91, in train_bayesian_task
    dnn_to_bnn_mod(model, bnn_prior_parameters)
    ~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/nschense/Documents/Medphys_Research/alnn_rewrite/model/dnn_mod.py", line 132, in dnn_to_bnn_mod
    dnn_to_bnn_mod(m._modules[name], bnn_prior_parameters)
    ~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/nschense/Documents/Medphys_Research/alnn_rewrite/model/dnn_mod.py", line 132, in dnn_to_bnn_mod
    dnn_to_bnn_mod(m._modules[name], bnn_prior_parameters)
    ~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/nschense/Documents/Medphys_Research/alnn_rewrite/model/dnn_mod.py", line 132, in dnn_to_bnn_mod
    dnn_to_bnn_mod(m._modules[name], bnn_prior_parameters)
    ~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/nschense/Documents/Medphys_Research/alnn_rewrite/model/dnn_mod.py", line 134, in dnn_to_bnn_mod
    setattr(m, name, bnn_conv_layer(bnn_prior_parameters, m._modules[name]))
                     ~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/nschense/Documents/Medphys_Research/alnn_rewrite/model/dnn_mod.py", line 76, in bnn_conv_layer
    layer_fn = getattr(bayesian_layers, layer_type)  # Get BNN layer
AttributeError: module 'bayesian_torch.layers' has no attribute 'Conv3dReparameterizationReparameterization'
2026-07-08 00:43:55,325 - ERROR - [SYSTEM] ERROR: module 'bayesian_torch.layers' has no attribute 'Conv3dReparameterizationReparameterization'
2026-07-08 00:45:53,427 - INFO - [SYSTEM] Application initialized and ready.
2026-07-08 00:46:16,234 - INFO - [SYSTEM] Copied default config to ./ouputs/exp1/config.toml. Ready for editing!
2026-07-08 00:46:34,286 - INFO - [SYSTEM] Successfully loaded config from ./ouputs/exp1/config.toml
2026-07-08 00:46:35,839 - INFO - [SYSTEM] Initiating Scenario: 1. Train, Evaluate, & Noise Analysis
2026-07-08 00:46:35,842 - INFO - [SYSTEM] Starting Task 1/5: Load Image and ADNIMERGE
2026-07-08 00:46:35,842 - INFO - [Load Image and ADNIMERGE] Loading Files
2026-07-08 00:46:38,425 - INFO - [Load Image and ADNIMERGE] Dataloaders initalized
2026-07-08 00:46:38,430 - INFO - [Load Image and ADNIMERGE] Task completed.
2026-07-08 00:46:38,432 - INFO - [SYSTEM] Starting Task 2/5: Train Regular Models
2026-07-08 00:46:38,432 - INFO - [Train Regular Models] Starting normal model training...
2026-07-08 00:46:38,432 - INFO - [Train Regular Models] Intermediate models will be saved to ouputs/exp1/normal_models/intermediate_models
2026-07-08 00:46:38,433 - INFO - [Train Regular Models] Training model 1/1...
2026-07-08 00:46:53,542 - INFO - [Train Regular Models] Epoch [1/1], Train Loss: 0.5775, Val Loss: 0.6650, Train Acc: 0.7357, Val Acc: 0.7047
2026-07-08 00:46:54,233 - INFO - [Train Regular Models] Run 1/1 - Test Loss: 0.6520, Test Accuracy: 0.7732
2026-07-08 00:46:54,334 - INFO - [Train Regular Models] Model saved to ouputs/exp1/normal_models/model_1.pt
2026-07-08 00:46:54,591 - INFO - [Train Regular Models] All models trained and saved successfully.
2026-07-08 00:46:54,592 - INFO - [Train Regular Models] Task completed.
2026-07-08 00:46:54,594 - INFO - [SYSTEM] Starting Task 3/5: Train Bayesian Models
2026-07-08 00:46:54,595 - INFO - [Train Bayesian Models] Starting bayesian model training...
2026-07-08 00:46:54,595 - INFO - [Train Bayesian Models] Intermediate models will be saved to ouputs/exp1/bayesian_models/intermediate_models
2026-07-08 00:46:54,596 - INFO - [Train Bayesian Models] Training model 1/1...
2026-07-08 00:46:55,035 - ERROR - Pipeline failed: Expected all tensors to be on the same device, but got weight is on cuda:0, different from other tensors on cpu (when checking argument in method wrapper_CUDA__native_batch_norm)
Traceback (most recent call last):
  File "/home/nschense/Documents/Medphys_Research/alnn_rewrite/main.py", line 256, in run_background_pipeline
    task_func(task_tracker, task_logger, config, pipeline_state)
    ~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/nschense/Documents/Medphys_Research/alnn_rewrite/tasks/train_bayesian.py", line 98, in train_bayesian_task
    model, history = tn.train_model_bayesian(
                     ~~~~~~~~~~~~~~~~~~~~~~~^
        log=log,
        ^^^^^^^^
    ...<10 lines>...
        pause_event=pause_event,
        ^^^^^^^^^^^^^^^^^^^^^^^^
    )
    ^
  File "/home/nschense/Documents/Medphys_Research/alnn_rewrite/model/training.py", line 454, in train_model_bayesian
    train_loss, val_loss, train_acc, val_acc = train_epoch_bayesian(
                                               ~~~~~~~~~~~~~~~~~~~~^
        model,
        ^^^^^^
    ...<8 lines>...
        pause_event=pause_event,
        ^^^^^^^^^^^^^^^^^^^^^^^^
    )
    ^
  File "/home/nschense/Documents/Medphys_Research/alnn_rewrite/model/training.py", line 372, in train_epoch_bayesian
    outputs = model((mri, xls))
  File "/home/nschense/Documents/Medphys_Research/alnn_rewrite/.venv/lib64/python3.14/site-packages/torch/nn/modules/module.py", line 1778, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
           ~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "/home/nschense/Documents/Medphys_Research/alnn_rewrite/.venv/lib64/python3.14/site-packages/torch/nn/modules/module.py", line 1789, in _call_impl
    return forward_call(*args, **kwargs)
  File "/home/nschense/Documents/Medphys_Research/alnn_rewrite/model/cnn.py", line 66, in forward
    image_out = self.image_section(image_data)
  File "/home/nschense/Documents/Medphys_Research/alnn_rewrite/.venv/lib64/python3.14/site-packages/torch/nn/modules/module.py", line 1778, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
           ~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "/home/nschense/Documents/Medphys_Research/alnn_rewrite/.venv/lib64/python3.14/site-packages/torch/nn/modules/module.py", line 1789, in _call_impl
    return forward_call(*args, **kwargs)
  File "/home/nschense/Documents/Medphys_Research/alnn_rewrite/model/cnn.py", line 34, in forward
    x = self.cnv1(x)
  File "/home/nschense/Documents/Medphys_Research/alnn_rewrite/.venv/lib64/python3.14/site-packages/torch/nn/modules/module.py", line 1778, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
           ~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "/home/nschense/Documents/Medphys_Research/alnn_rewrite/.venv/lib64/python3.14/site-packages/torch/nn/modules/module.py", line 1789, in _call_impl
    return forward_call(*args, **kwargs)
  File "/home/nschense/Documents/Medphys_Research/alnn_rewrite/model/layers.py", line 119, in forward
    a = self.norm(a)
  File "/home/nschense/Documents/Medphys_Research/alnn_rewrite/.venv/lib64/python3.14/site-packages/torch/nn/modules/module.py", line 1778, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
           ~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "/home/nschense/Documents/Medphys_Research/alnn_rewrite/.venv/lib64/python3.14/site-packages/torch/nn/modules/module.py", line 1789, in _call_impl
    return forward_call(*args, **kwargs)
  File "/home/nschense/Documents/Medphys_Research/alnn_rewrite/.venv/lib64/python3.14/site-packages/torch/nn/modules/batchnorm.py", line 210, in forward
    return F.batch_norm(
           ~~~~~~~~~~~~^
        input,
        ^^^^^^
    ...<11 lines>...
        self.eps,
        ^^^^^^^^^
    )
    ^
  File "/home/nschense/Documents/Medphys_Research/alnn_rewrite/.venv/lib64/python3.14/site-packages/torch/nn/functional.py", line 2850, in batch_norm
    return torch.batch_norm(
           ~~~~~~~~~~~~~~~~^
        input,
        ^^^^^^
    ...<7 lines>...
        torch.backends.cudnn.enabled,
        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
    )
    ^
RuntimeError: Expected all tensors to be on the same device, but got weight is on cuda:0, different from other tensors on cpu (when checking argument in method wrapper_CUDA__native_batch_norm)
2026-07-08 00:46:55,037 - ERROR - [SYSTEM] ERROR: Expected all tensors to be on the same device, but got weight is on cuda:0, different from other tensors on cpu (when checking argument in method wrapper_CUDA__native_batch_norm)
2026-07-08 00:50:01,319 - INFO - [SYSTEM] Application initialized and ready.
2026-07-08 00:50:09,578 - INFO - [SYSTEM] Copied default config to ./outputs/exp1/config.toml. Ready for editing!
2026-07-08 00:50:24,023 - INFO - [SYSTEM] Successfully loaded config from ./outputs/exp1/config.toml
2026-07-08 00:50:25,887 - INFO - [SYSTEM] Successfully loaded config from ./outputs/exp1/config.toml
2026-07-08 00:50:36,955 - INFO - [SYSTEM] Successfully loaded config from ./outputs/exp1/config.toml
2026-07-08 00:50:53,802 - INFO - [SYSTEM] Successfully loaded config from ./outputs/exp1/config.toml
2026-07-08 00:50:55,008 - INFO - [SYSTEM] Successfully loaded config from ./outputs/exp1/config.toml
2026-07-08 00:51:00,546 - INFO - [SYSTEM] Application initialized and ready.
2026-07-08 00:51:08,097 - INFO - [SYSTEM] Successfully loaded config from ./outputs/exp1/config.toml
2026-07-08 00:51:27,522 - INFO - [SYSTEM] Successfully loaded config from ./outputs/exp1/config.toml
2026-07-08 00:51:28,532 - INFO - [SYSTEM] Successfully loaded config from ./outputs/exp1/config.toml
2026-07-08 00:51:35,020 - INFO - [SYSTEM] Successfully loaded config from ./outputs/exp1/config.toml
2026-07-08 00:51:36,630 - INFO - [SYSTEM] Initiating Scenario: 1. Train, Evaluate, & Noise Analysis
2026-07-08 00:51:36,642 - INFO - [SYSTEM] Starting Task 1/5: Load Image and ADNIMERGE
2026-07-08 00:51:36,643 - INFO - [Load Image and ADNIMERGE] Loading Files
2026-07-08 00:51:39,204 - INFO - [Load Image and ADNIMERGE] Dataloaders initalized
2026-07-08 00:51:39,208 - INFO - [Load Image and ADNIMERGE] Task completed.
2026-07-08 00:51:39,210 - INFO - [SYSTEM] Starting Task 2/5: Train Regular Models
2026-07-08 00:51:39,211 - INFO - [Train Regular Models] Starting normal model training...
2026-07-08 00:51:39,211 - INFO - [Train Regular Models] Intermediate models will be saved to outputs/exp1/normal_models/intermediate_models
2026-07-08 00:51:39,212 - INFO - [Train Regular Models] Training model 1/1...
2026-07-08 00:51:54,318 - INFO - [Train Regular Models] Epoch [1/1], Train Loss: 0.5990, Val Loss: 0.6624, Train Acc: 0.6787, Val Acc: 0.5168
2026-07-08 00:51:55,011 - INFO - [Train Regular Models] Run 1/1 - Test Loss: 0.6625, Test Accuracy: 0.5979
2026-07-08 00:51:55,118 - INFO - [Train Regular Models] Model saved to outputs/exp1/normal_models/model_1.pt
2026-07-08 00:51:55,373 - INFO - [Train Regular Models] All models trained and saved successfully.
2026-07-08 00:51:55,374 - INFO - [Train Regular Models] Task completed.
2026-07-08 00:51:55,376 - INFO - [SYSTEM] Starting Task 3/5: Train Bayesian Models
2026-07-08 00:51:55,376 - INFO - [Train Bayesian Models] Starting bayesian model training...
2026-07-08 00:51:55,376 - INFO - [Train Bayesian Models] Intermediate models will be saved to outputs/exp1/bayesian_models/intermediate_models
2026-07-08 00:51:55,377 - INFO - [Train Bayesian Models] Training model 1/1...
2026-07-08 00:52:10,270 - INFO - [Train Bayesian Models] Epoch [1/1], Train Loss: 2.6497, Val Loss: 2.7953, Train Acc: 0.5589, Val Acc: 0.4631
2026-07-08 00:52:10,975 - INFO - [Train Bayesian Models] Run 1/1 - Test Loss: 3.2049, Test Accuracy: 0.6392
2026-07-08 00:52:11,118 - INFO - [Train Bayesian Models] Model saved to outputs/exp1/bayesian_models/model_1.pt
2026-07-08 00:52:11,352 - INFO - [Train Bayesian Models] All Bayesian models trained and saved successfully.
2026-07-08 00:52:11,353 - INFO - [Train Bayesian Models] Task completed.
2026-07-08 00:52:11,354 - INFO - [SYSTEM] Starting Task 4/5: Evaluate Regular Models
2026-07-08 00:52:11,355 - INFO - [Evaluate Regular Models] Initializing process...
2026-07-08 00:52:12,962 - INFO - [Evaluate Regular Models] Halfway through current task execution...
2026-07-08 00:52:14,041 - INFO - [Evaluate Regular Models] Task completed.
2026-07-08 00:52:14,043 - INFO - [SYSTEM] Starting Task 5/5: Evaluate Bayesian Models
2026-07-08 00:52:14,044 - INFO - [Evaluate Bayesian Models] Initializing process...
2026-07-08 00:52:15,667 - INFO - [Evaluate Bayesian Models] Halfway through current task execution...
2026-07-08 00:52:16,749 - INFO - [Evaluate Bayesian Models] Task completed.
2026-07-08 00:52:16,751 - INFO - [SYSTEM] All tasks finished successfully!
2026-07-08 00:52:49,209 - INFO - [SYSTEM] Application initialized and ready.
2026-07-08 00:52:54,655 - INFO - [SYSTEM] Copied default config to ./outputs/exp1/config.toml. Ready for editing!
2026-07-08 00:52:57,639 - INFO - [SYSTEM] Initiating Scenario: 1. Train, Evaluate, & Noise Analysis
2026-07-08 00:52:57,642 - INFO - [SYSTEM] Starting Task 1/5: Load Image and ADNIMERGE
2026-07-08 00:52:57,643 - INFO - [Load Image and ADNIMERGE] Loading Files
2026-07-08 00:53:00,242 - INFO - [Load Image and ADNIMERGE] Dataloaders initalized
2026-07-08 00:53:00,243 - INFO - [Load Image and ADNIMERGE] Task completed.
2026-07-08 00:53:00,248 - INFO - [SYSTEM] Starting Task 2/5: Train Regular Models
2026-07-08 00:53:00,249 - INFO - [Train Regular Models] Starting normal model training...
2026-07-08 00:53:00,249 - INFO - [Train Regular Models] Intermediate models will be saved to outputs/exp1/normal_models/intermediate_models
2026-07-08 00:53:00,250 - INFO - [Train Regular Models] Training model 1/30...
2026-07-08 00:53:15,384 - INFO - [Train Regular Models] Epoch [1/25], Train Loss: 0.5373, Val Loss: 0.6979, Train Acc: 0.7757, Val Acc: 0.4966
2026-07-08 00:53:29,648 - INFO - [Train Regular Models] Epoch [2/25], Train Loss: 0.4383, Val Loss: 0.7576, Train Acc: 0.8726, Val Acc: 0.4765
2026-07-08 00:53:43,937 - INFO - [Train Regular Models] Epoch [3/25], Train Loss: 0.4020, Val Loss: 0.6847, Train Acc: 0.9335, Val Acc: 0.5369
2026-07-08 00:53:58,288 - INFO - [Train Regular Models] Epoch [4/25], Train Loss: 0.3858, Val Loss: 0.6350, Train Acc: 0.9411, Val Acc: 0.6174
2026-07-08 00:54:12,641 - INFO - [Train Regular Models] Epoch [5/25], Train Loss: 0.3349, Val Loss: 0.6205, Train Acc: 0.9810, Val Acc: 0.6376
2026-07-08 00:54:27,023 - INFO - [Train Regular Models] Epoch [6/25], Train Loss: 0.3245, Val Loss: 0.7107, Train Acc: 0.9715, Val Acc: 0.5369
2026-07-08 00:54:27,118 - INFO - [Train Regular Models] Model saved at epoch 6
2026-07-08 00:54:41,514 - INFO - [Train Regular Models] Epoch [7/25], Train Loss: 0.3018, Val Loss: 0.5673, Train Acc: 0.9886, Val Acc: 0.6443
2026-07-08 00:54:55,906 - INFO - [Train Regular Models] Epoch [8/25], Train Loss: 0.2890, Val Loss: 0.7526, Train Acc: 0.9677, Val Acc: 0.5369
2026-07-08 00:55:10,286 - INFO - [Train Regular Models] Epoch [9/25], Train Loss: 0.2688, Val Loss: 0.6448, Train Acc: 0.9791, Val Acc: 0.5973
2026-07-08 00:55:24,653 - INFO - [Train Regular Models] Epoch [10/25], Train Loss: 0.2461, Val Loss: 0.8519, Train Acc: 0.9848, Val Acc: 0.5101
2026-07-08 00:55:39,031 - INFO - [Train Regular Models] Epoch [11/25], Train Loss: 0.2664, Val Loss: 0.5699, Train Acc: 0.9620, Val Acc: 0.6980
2026-07-08 00:55:53,414 - INFO - [Train Regular Models] Epoch [12/25], Train Loss: 0.2257, Val Loss: 0.6403, Train Acc: 0.9791, Val Acc: 0.5839
2026-07-08 00:55:53,504 - INFO - [Train Regular Models] Model saved at epoch 12
2026-07-08 00:56:07,874 - INFO - [Train Regular Models] Epoch [13/25], Train Loss: 0.2107, Val Loss: 0.6762, Train Acc: 0.9848, Val Acc: 0.5570
2026-07-08 00:56:22,254 - INFO - [Train Regular Models] Epoch [14/25], Train Loss: 0.1982, Val Loss: 0.7457, Train Acc: 0.9791, Val Acc: 0.5302
2026-07-08 00:56:36,620 - INFO - [Train Regular Models] Epoch [15/25], Train Loss: 0.2013, Val Loss: 0.7011, Train Acc: 0.9829, Val Acc: 0.5570
2026-07-08 00:56:51,003 - INFO - [Train Regular Models] Epoch [16/25], Train Loss: 0.1811, Val Loss: 0.5839, Train Acc: 0.9810, Val Acc: 0.6443
2026-07-08 00:57:05,373 - INFO - [Train Regular Models] Epoch [17/25], Train Loss: 0.1703, Val Loss: 0.5917, Train Acc: 0.9810, Val Acc: 0.6242
2026-07-08 00:57:19,748 - INFO - [Train Regular Models] Epoch [18/25], Train Loss: 0.1627, Val Loss: 0.5703, Train Acc: 0.9772, Val Acc: 0.6644
2026-07-08 00:57:19,840 - INFO - [Train Regular Models] Model saved at epoch 18
2026-07-08 00:57:34,225 - INFO - [Train Regular Models] Epoch [19/25], Train Loss: 0.1401, Val Loss: 0.6857, Train Acc: 0.9905, Val Acc: 0.5906
2026-07-08 00:57:48,704 - INFO - [Train Regular Models] Epoch [20/25], Train Loss: 0.1415, Val Loss: 0.5536, Train Acc: 0.9791, Val Acc: 0.6376
2026-07-08 00:58:03,088 - INFO - [Train Regular Models] Epoch [21/25], Train Loss: 0.1345, Val Loss: 0.4856, Train Acc: 0.9867, Val Acc: 0.7517
2026-07-08 00:58:17,472 - INFO - [Train Regular Models] Epoch [22/25], Train Loss: 0.1262, Val Loss: 0.4994, Train Acc: 0.9829, Val Acc: 0.7852
2026-07-08 00:58:31,844 - INFO - [Train Regular Models] Epoch [23/25], Train Loss: 0.1120, Val Loss: 0.6324, Train Acc: 0.9867, Val Acc: 0.6107
2026-07-08 00:58:46,219 - INFO - [Train Regular Models] Epoch [24/25], Train Loss: 0.1253, Val Loss: 0.6264, Train Acc: 0.9829, Val Acc: 0.6107
2026-07-08 00:58:46,314 - INFO - [Train Regular Models] Model saved at epoch 24
2026-07-08 00:59:00,697 - INFO - [Train Regular Models] Epoch [25/25], Train Loss: 0.1001, Val Loss: 0.6807, Train Acc: 0.9848, Val Acc: 0.5772
2026-07-08 00:59:01,388 - INFO - [Train Regular Models] Run 1/30 - Test Loss: 0.5012, Test Accuracy: 0.6907
2026-07-08 00:59:01,488 - INFO - [Train Regular Models] Model saved to outputs/exp1/normal_models/model_1.pt
2026-07-08 00:59:01,757 - INFO - [Train Regular Models] Training model 2/30...
2026-07-08 00:59:16,203 - INFO - [Train Regular Models] Epoch [1/25], Train Loss: 0.6134, Val Loss: 0.6832, Train Acc: 0.7586, Val Acc: 0.5638
2026-07-08 00:59:30,554 - INFO - [Train Regular Models] Epoch [2/25], Train Loss: 0.5120, Val Loss: 0.6103, Train Acc: 0.9030, Val Acc: 0.7383
2026-07-08 00:59:44,925 - INFO - [Train Regular Models] Epoch [3/25], Train Loss: 0.4746, Val Loss: 0.6348, Train Acc: 0.9373, Val Acc: 0.6510
2026-07-08 00:59:59,330 - INFO - [Train Regular Models] Epoch [4/25], Train Loss: 0.4354, Val Loss: 0.5920, Train Acc: 0.9677, Val Acc: 0.7919
2026-07-08 01:00:11,477 - ERROR - Pipeline failed: App is not running
Traceback (most recent call last):
  File "/home/nschense/Documents/Medphys_Research/alnn_rewrite/main.py", line 256, in run_background_pipeline
    task_func(task_tracker, task_logger, config, pipeline_state)
    ~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/nschense/Documents/Medphys_Research/alnn_rewrite/tasks/train_normal.py", line 90, in train_normal_task
    model, history = tn.train_model(
                     ~~~~~~~~~~~~~~^
        log=log,
        ^^^^^^^^
    ...<9 lines>...
        pause_event=pause_event,
        ^^^^^^^^^^^^^^^^^^^^^^^^
    )
    ^
  File "/home/nschense/Documents/Medphys_Research/alnn_rewrite/model/training.py", line 248, in train_model
    train_loss, val_loss, train_acc, val_acc = train_epoch(
                                               ~~~~~~~~~~~^
        model,
        ^^^^^^
    ...<7 lines>...
        pause_event=pause_event,
        ^^^^^^^^^^^^^^^^^^^^^^^^
    )
    ^
  File "/home/nschense/Documents/Medphys_Research/alnn_rewrite/model/training.py", line 174, in train_epoch
    train_progress.update(total=len(train_loader), advance=1)
    ~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/nschense/Documents/Medphys_Research/alnn_rewrite/util/progress.py", line 64, in update
    self.app.call_from_thread(_do_update)
    ~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^
  File "/home/nschense/Documents/Medphys_Research/alnn_rewrite/.venv/lib64/python3.14/site-packages/textual/app.py", line 1819, in call_from_thread
    raise RuntimeError("App is not running")
RuntimeError: App is not running
2026-07-08 01:00:11,478 - ERROR - [SYSTEM] ERROR: App is not running
2026-07-08 01:00:57,572 - INFO - [SYSTEM] Application initialized and ready.
2026-07-08 01:01:03,263 - INFO - [SYSTEM] Copied default config to ./outputs/exp1/config.toml. Ready for editing!
2026-07-08 01:01:07,863 - INFO - [SYSTEM] Initiating Scenario: 1. Train, Evaluate, & Noise Analysis
2026-07-08 01:01:07,866 - INFO - [SYSTEM] Starting Task 1/5: Load Image and ADNIMERGE
2026-07-08 01:01:07,866 - INFO - [Load Image and ADNIMERGE] Loading Files
2026-07-08 01:01:10,532 - INFO - [Load Image and ADNIMERGE] Dataloaders initalized
2026-07-08 01:01:10,537 - INFO - [Load Image and ADNIMERGE] Task completed.
2026-07-08 01:01:10,538 - INFO - [SYSTEM] Starting Task 2/5: Train Regular Models
2026-07-08 01:01:10,539 - INFO - [Train Regular Models] Starting normal model training...
2026-07-08 01:01:10,539 - INFO - [Train Regular Models] Intermediate models will be saved to outputs/exp1/normal_models/intermediate_models
2026-07-08 01:01:10,540 - INFO - [Train Regular Models] Training model 1/30...
2026-07-08 01:01:25,669 - INFO - [Train Regular Models] Epoch [1/25], Train Loss: 0.5300, Val Loss: 0.7628, Train Acc: 0.7985, Val Acc: 0.4698
2026-07-08 01:01:39,932 - INFO - [Train Regular Models] Epoch [2/25], Train Loss: 0.3715, Val Loss: 0.7620, Train Acc: 0.9087, Val Acc: 0.4966
2026-07-08 01:01:54,234 - INFO - [Train Regular Models] Epoch [3/25], Train Loss: 0.3557, Val Loss: 0.6723, Train Acc: 0.9068, Val Acc: 0.5570
2026-07-08 01:02:08,548 - INFO - [Train Regular Models] Epoch [4/25], Train Loss: 0.2999, Val Loss: 0.9527, Train Acc: 0.9430, Val Acc: 0.4631
2026-07-08 01:02:22,938 - INFO - [Train Regular Models] Epoch [5/25], Train Loss: 0.2659, Val Loss: 0.7849, Train Acc: 0.9696, Val Acc: 0.4832
2026-07-08 01:02:37,339 - INFO - [Train Regular Models] Epoch [6/25], Train Loss: 0.2204, Val Loss: 0.5281, Train Acc: 0.9810, Val Acc: 0.7852
2026-07-08 01:02:37,436 - INFO - [Train Regular Models] Model saved at epoch 6
2026-07-08 01:02:51,818 - INFO - [Train Regular Models] Epoch [7/25], Train Loss: 0.2478, Val Loss: 0.9242, Train Acc: 0.9620, Val Acc: 0.4631
2026-07-08 01:03:06,222 - INFO - [Train Regular Models] Epoch [8/25], Train Loss: 0.2405, Val Loss: 0.8734, Train Acc: 0.9772, Val Acc: 0.4698
2026-07-08 01:03:20,720 - INFO - [Train Regular Models] Epoch [9/25], Train Loss: 0.1978, Val Loss: 0.8342, Train Acc: 0.9829, Val Acc: 0.4966
2026-07-08 01:03:35,123 - INFO - [Train Regular Models] Epoch [10/25], Train Loss: 0.1710, Val Loss: 0.6356, Train Acc: 0.9810, Val Acc: 0.5906
2026-07-08 01:03:49,528 - INFO - [Train Regular Models] Epoch [11/25], Train Loss: 0.1511, Val Loss: 0.5789, Train Acc: 0.9867, Val Acc: 0.6779
2026-07-08 01:04:03,919 - INFO - [Train Regular Models] Epoch [12/25], Train Loss: 0.1370, Val Loss: 0.8028, Train Acc: 0.9848, Val Acc: 0.5034
2026-07-08 01:04:04,010 - INFO - [Train Regular Models] Model saved at epoch 12
2026-07-08 01:04:18,422 - INFO - [Train Regular Models] Epoch [13/25], Train Loss: 0.1273, Val Loss: 0.5179, Train Acc: 0.9791, Val Acc: 0.6913
2026-07-08 01:04:32,816 - INFO - [Train Regular Models] Epoch [14/25], Train Loss: 0.1207, Val Loss: 0.4625, Train Acc: 0.9848, Val Acc: 0.7852
2026-07-08 01:04:47,212 - INFO - [Train Regular Models] Epoch [15/25], Train Loss: 0.1181, Val Loss: 0.5121, Train Acc: 0.9848, Val Acc: 0.7718
2026-07-08 01:05:01,602 - INFO - [Train Regular Models] Epoch [16/25], Train Loss: 0.1123, Val Loss: 0.4885, Train Acc: 0.9810, Val Acc: 0.7785
2026-07-08 01:05:16,002 - INFO - [Train Regular Models] Epoch [17/25], Train Loss: 0.1106, Val Loss: 0.7487, Train Acc: 0.9848, Val Acc: 0.5638
2026-07-08 01:05:30,407 - INFO - [Train Regular Models] Epoch [18/25], Train Loss: 0.0957, Val Loss: 0.4101, Train Acc: 0.9829, Val Acc: 0.8456
2026-07-08 01:05:30,502 - INFO - [Train Regular Models] Model saved at epoch 18
2026-07-08 01:05:44,887 - INFO - [Train Regular Models] Epoch [19/25], Train Loss: 0.0936, Val Loss: 0.7903, Train Acc: 0.9867, Val Acc: 0.5436
2026-07-08 01:05:59,282 - INFO - [Train Regular Models] Epoch [20/25], Train Loss: 0.0880, Val Loss: 0.6095, Train Acc: 0.9905, Val Acc: 0.6376
2026-07-08 01:06:13,662 - INFO - [Train Regular Models] Epoch [21/25], Train Loss: 0.0928, Val Loss: 0.6065, Train Acc: 0.9829, Val Acc: 0.6174
2026-07-08 01:06:28,041 - INFO - [Train Regular Models] Epoch [22/25], Train Loss: 0.0829, Val Loss: 0.4587, Train Acc: 0.9848, Val Acc: 0.8054
2026-07-08 01:06:42,435 - INFO - [Train Regular Models] Epoch [23/25], Train Loss: 0.0774, Val Loss: 0.5372, Train Acc: 0.9848, Val Acc: 0.6577
2026-07-08 01:06:56,817 - INFO - [Train Regular Models] Epoch [24/25], Train Loss: 0.0699, Val Loss: 0.8077, Train Acc: 0.9848, Val Acc: 0.5638
2026-07-08 01:06:56,906 - INFO - [Train Regular Models] Model saved at epoch 24
2026-07-08 01:07:11,304 - INFO - [Train Regular Models] Epoch [25/25], Train Loss: 0.0909, Val Loss: 0.9999, Train Acc: 0.9810, Val Acc: 0.4966
2026-07-08 01:07:11,995 - INFO - [Train Regular Models] Run 1/30 - Test Loss: 0.6957, Test Accuracy: 0.6495
2026-07-08 01:07:12,094 - INFO - [Train Regular Models] Model saved to outputs/exp1/normal_models/model_1.pt
2026-07-08 01:07:12,356 - INFO - [Train Regular Models] Training model 2/30...
2026-07-08 01:07:26,841 - INFO - [Train Regular Models] Epoch [1/25], Train Loss: 0.5411, Val Loss: 0.8264, Train Acc: 0.7586, Val Acc: 0.4631
2026-07-08 01:07:41,218 - INFO - [Train Regular Models] Epoch [2/25], Train Loss: 0.4025, Val Loss: 0.7183, Train Acc: 0.8973, Val Acc: 0.4899
2026-07-08 01:07:55,589 - INFO - [Train Regular Models] Epoch [3/25], Train Loss: 0.3528, Val Loss: 0.5507, Train Acc: 0.9297, Val Acc: 0.7584
2026-07-08 01:08:09,985 - INFO - [Train Regular Models] Epoch [4/25], Train Loss: 0.3389, Val Loss: 0.6291, Train Acc: 0.9563, Val Acc: 0.5772
2026-07-08 01:08:24,375 - INFO - [Train Regular Models] Epoch [5/25], Train Loss: 0.2878, Val Loss: 0.6898, Train Acc: 0.9677, Val Acc: 0.5369
2026-07-08 01:08:38,755 - INFO - [Train Regular Models] Epoch [6/25], Train Loss: 0.2615, Val Loss: 0.5385, Train Acc: 0.9734, Val Acc: 0.7919
2026-07-08 01:08:38,894 - INFO - [Train Regular Models] Model saved at epoch 6
2026-07-08 01:08:53,274 - INFO - [Train Regular Models] Epoch [7/25], Train Loss: 0.2349, Val Loss: 0.7455, Train Acc: 0.9829, Val Acc: 0.5101
2026-07-08 01:09:07,656 - INFO - [Train Regular Models] Epoch [8/25], Train Loss: 0.2136, Val Loss: 0.5736, Train Acc: 0.9772, Val Acc: 0.6376
2026-07-08 01:09:22,040 - INFO - [Train Regular Models] Epoch [9/25], Train Loss: 0.2176, Val Loss: 0.5717, Train Acc: 0.9791, Val Acc: 0.6376
2026-07-08 01:09:36,418 - INFO - [Train Regular Models] Epoch [10/25], Train Loss: 0.2045, Val Loss: 0.5419, Train Acc: 0.9810, Val Acc: 0.6846
2026-07-08 01:09:50,817 - INFO - [Train Regular Models] Epoch [11/25], Train Loss: 0.2045, Val Loss: 0.7658, Train Acc: 0.9829, Val Acc: 0.5235
2026-07-08 01:10:05,200 - INFO - [Train Regular Models] Epoch [12/25], Train Loss: 0.1783, Val Loss: 0.6879, Train Acc: 0.9791, Val Acc: 0.5638
2026-07-08 01:10:05,334 - INFO - [Train Regular Models] Model saved at epoch 12
2026-07-08 01:10:19,736 - INFO - [Train Regular Models] Epoch [13/25], Train Loss: 0.1695, Val Loss: 0.5749, Train Acc: 0.9829, Val Acc: 0.7987
2026-07-08 01:10:34,114 - INFO - [Train Regular Models] Epoch [14/25], Train Loss: 0.1835, Val Loss: 0.5658, Train Acc: 0.9829, Val Acc: 0.7450
2026-07-08 01:10:48,500 - INFO - [Train Regular Models] Epoch [15/25], Train Loss: 0.1493, Val Loss: 0.5649, Train Acc: 0.9829, Val Acc: 0.7651
2026-07-08 01:11:02,874 - INFO - [Train Regular Models] Epoch [16/25], Train Loss: 0.1629, Val Loss: 0.5003, Train Acc: 0.9791, Val Acc: 0.7785
2026-07-08 01:11:17,268 - INFO - [Train Regular Models] Epoch [17/25], Train Loss: 0.1338, Val Loss: 0.5780, Train Acc: 0.9867, Val Acc: 0.6443
2026-07-08 01:11:31,662 - INFO - [Train Regular Models] Epoch [18/25], Train Loss: 0.1239, Val Loss: 0.5313, Train Acc: 0.9829, Val Acc: 0.7450
2026-07-08 01:11:31,800 - INFO - [Train Regular Models] Model saved at epoch 18
2026-07-08 01:11:46,196 - INFO - [Train Regular Models] Epoch [19/25], Train Loss: 0.1213, Val Loss: 0.5926, Train Acc: 0.9772, Val Acc: 0.6309
2026-07-08 01:12:00,581 - INFO - [Train Regular Models] Epoch [20/25], Train Loss: 0.1209, Val Loss: 0.4510, Train Acc: 0.9791, Val Acc: 0.8456
2026-07-08 01:12:14,975 - INFO - [Train Regular Models] Epoch [21/25], Train Loss: 0.1119, Val Loss: 0.5871, Train Acc: 0.9829, Val Acc: 0.6376
2026-07-08 01:12:29,348 - INFO - [Train Regular Models] Epoch [22/25], Train Loss: 0.1067, Val Loss: 0.6883, Train Acc: 0.9848, Val Acc: 0.5839
2026-07-08 01:12:43,734 - INFO - [Train Regular Models] Epoch [23/25], Train Loss: 0.1047, Val Loss: 0.6176, Train Acc: 0.9829, Val Acc: 0.6107
2026-07-08 01:12:58,123 - INFO - [Train Regular Models] Epoch [24/25], Train Loss: 0.0937, Val Loss: 0.6716, Train Acc: 0.9848, Val Acc: 0.5839
2026-07-08 01:12:58,259 - INFO - [Train Regular Models] Model saved at epoch 24
2026-07-08 01:13:12,657 - INFO - [Train Regular Models] Epoch [25/25], Train Loss: 0.0930, Val Loss: 0.4147, Train Acc: 0.9810, Val Acc: 0.8658
2026-07-08 01:13:13,349 - INFO - [Train Regular Models] Run 2/30 - Test Loss: 0.3562, Test Accuracy: 0.9072
2026-07-08 01:13:13,444 - INFO - [Train Regular Models] Model saved to outputs/exp1/normal_models/model_2.pt
2026-07-08 01:13:13,713 - INFO - [Train Regular Models] Training model 3/30...
2026-07-08 01:13:28,195 - INFO - [Train Regular Models] Epoch [1/25], Train Loss: 0.5169, Val Loss: 0.6486, Train Acc: 0.7700, Val Acc: 0.5302
2026-07-08 01:13:42,584 - INFO - [Train Regular Models] Epoch [2/25], Train Loss: 0.3620, Val Loss: 0.5683, Train Acc: 0.9030, Val Acc: 0.7450
2026-07-08 01:13:56,997 - INFO - [Train Regular Models] Epoch [3/25], Train Loss: 0.2968, Val Loss: 0.5747, Train Acc: 0.9639, Val Acc: 0.6443
2026-07-08 01:14:11,377 - INFO - [Train Regular Models] Epoch [4/25], Train Loss: 0.2512, Val Loss: 0.5743, Train Acc: 0.9734, Val Acc: 0.6443
2026-07-08 01:14:25,767 - INFO - [Train Regular Models] Epoch [5/25], Train Loss: 0.2188, Val Loss: 0.6185, Train Acc: 0.9810, Val Acc: 0.5503
2026-07-08 01:14:40,168 - INFO - [Train Regular Models] Epoch [6/25], Train Loss: 0.2150, Val Loss: 0.4868, Train Acc: 0.9772, Val Acc: 0.7315
2026-07-08 01:14:40,307 - INFO - [Train Regular Models] Model saved at epoch 6
2026-07-08 01:14:54,686 - INFO - [Train Regular Models] Epoch [7/25], Train Loss: 0.2025, Val Loss: 0.6411, Train Acc: 0.9848, Val Acc: 0.5705
2026-07-08 01:15:09,097 - INFO - [Train Regular Models] Epoch [8/25], Train Loss: 0.1710, Val Loss: 0.6262, Train Acc: 0.9772, Val Acc: 0.5705
2026-07-08 01:15:23,494 - INFO - [Train Regular Models] Epoch [9/25], Train Loss: 0.1698, Val Loss: 0.5682, Train Acc: 0.9772, Val Acc: 0.6376
2026-07-08 01:15:37,887 - INFO - [Train Regular Models] Epoch [10/25], Train Loss: 0.1643, Val Loss: 0.6054, Train Acc: 0.9829, Val Acc: 0.6174
2026-07-08 01:15:52,286 - INFO - [Train Regular Models] Epoch [11/25], Train Loss: 0.1601, Val Loss: 0.7624, Train Acc: 0.9772, Val Acc: 0.5436
2026-07-08 01:16:06,682 - INFO - [Train Regular Models] Epoch [12/25], Train Loss: 0.1421, Val Loss: 0.5078, Train Acc: 0.9753, Val Acc: 0.8188
2026-07-08 01:16:06,816 - INFO - [Train Regular Models] Model saved at epoch 12
2026-07-08 01:16:21,218 - INFO - [Train Regular Models] Epoch [13/25], Train Loss: 0.1406, Val Loss: 0.5469, Train Acc: 0.9810, Val Acc: 0.6711
2026-07-08 01:16:35,601 - INFO - [Train Regular Models] Epoch [14/25], Train Loss: 0.1237, Val Loss: 0.6250, Train Acc: 0.9829, Val Acc: 0.5906
2026-07-08 01:16:50,005 - INFO - [Train Regular Models] Epoch [15/25], Train Loss: 0.1067, Val Loss: 0.5108, Train Acc: 0.9867, Val Acc: 0.7047
2026-07-08 01:17:04,483 - INFO - [Train Regular Models] Epoch [16/25], Train Loss: 0.0998, Val Loss: 0.4392, Train Acc: 0.9772, Val Acc: 0.8523
2026-07-08 01:17:18,887 - INFO - [Train Regular Models] Epoch [17/25], Train Loss: 0.0994, Val Loss: 0.4548, Train Acc: 0.9867, Val Acc: 0.7383
2026-07-08 01:17:33,284 - INFO - [Train Regular Models] Epoch [18/25], Train Loss: 0.1006, Val Loss: 1.0407, Train Acc: 0.9848, Val Acc: 0.4832
2026-07-08 01:17:33,417 - INFO - [Train Regular Models] Model saved at epoch 18
2026-07-08 01:17:47,818 - INFO - [Train Regular Models] Epoch [19/25], Train Loss: 0.0943, Val Loss: 0.5732, Train Acc: 0.9772, Val Acc: 0.6242
2026-07-08 01:18:02,223 - INFO - [Train Regular Models] Epoch [20/25], Train Loss: 0.0869, Val Loss: 0.4378, Train Acc: 0.9848, Val Acc: 0.7919
2026-07-08 01:18:16,632 - INFO - [Train Regular Models] Epoch [21/25], Train Loss: 0.0871, Val Loss: 0.4648, Train Acc: 0.9848, Val Acc: 0.7987
2026-07-08 01:18:31,017 - INFO - [Train Regular Models] Epoch [22/25], Train Loss: 0.0814, Val Loss: 0.5271, Train Acc: 0.9905, Val Acc: 0.6779
2026-07-08 01:18:45,402 - INFO - [Train Regular Models] Epoch [23/25], Train Loss: 0.0826, Val Loss: 0.4377, Train Acc: 0.9810, Val Acc: 0.8121
2026-07-08 01:18:59,796 - INFO - [Train Regular Models] Epoch [24/25], Train Loss: 0.0809, Val Loss: 0.5062, Train Acc: 0.9810, Val Acc: 0.6846
2026-07-08 01:18:59,928 - INFO - [Train Regular Models] Model saved at epoch 24
2026-07-08 01:19:14,324 - INFO - [Train Regular Models] Epoch [25/25], Train Loss: 0.0781, Val Loss: 0.5860, Train Acc: 0.9829, Val Acc: 0.6242
2026-07-08 01:19:15,008 - INFO - [Train Regular Models] Run 3/30 - Test Loss: 0.4702, Test Accuracy: 0.7835
2026-07-08 01:19:15,098 - INFO - [Train Regular Models] Model saved to outputs/exp1/normal_models/model_3.pt
2026-07-08 01:19:15,363 - INFO - [Train Regular Models] Training model 4/30...
2026-07-08 01:19:29,838 - INFO - [Train Regular Models] Epoch [1/25], Train Loss: 0.5427, Val Loss: 0.6841, Train Acc: 0.7700, Val Acc: 0.4698
2026-07-08 01:19:44,238 - INFO - [Train Regular Models] Epoch [2/25], Train Loss: 0.4298, Val Loss: 0.6190, Train Acc: 0.8859, Val Acc: 0.7315
2026-07-08 01:19:58,630 - INFO - [Train Regular Models] Epoch [3/25], Train Loss: 0.3742, Val Loss: 0.6703, Train Acc: 0.9525, Val Acc: 0.5101
2026-07-08 01:20:13,006 - INFO - [Train Regular Models] Epoch [4/25], Train Loss: 0.3373, Val Loss: 0.6394, Train Acc: 0.9639, Val Acc: 0.8054
2026-07-08 01:20:27,385 - INFO - [Train Regular Models] Epoch [5/25], Train Loss: 0.3187, Val Loss: 0.6481, Train Acc: 0.9639, Val Acc: 0.5570
2026-07-08 01:20:41,764 - INFO - [Train Regular Models] Epoch [6/25], Train Loss: 0.3023, Val Loss: 0.5691, Train Acc: 0.9753, Val Acc: 0.6242
2026-07-08 01:20:41,901 - INFO - [Train Regular Models] Model saved at epoch 6
2026-07-08 01:20:56,304 - INFO - [Train Regular Models] Epoch [7/25], Train Loss: 0.2736, Val Loss: 0.7953, Train Acc: 0.9772, Val Acc: 0.4832
2026-07-08 01:21:10,706 - INFO - [Train Regular Models] Epoch [8/25], Train Loss: 0.2645, Val Loss: 0.5759, Train Acc: 0.9772, Val Acc: 0.6309
2026-07-08 01:21:25,105 - INFO - [Train Regular Models] Epoch [9/25], Train Loss: 0.2312, Val Loss: 0.5686, Train Acc: 0.9791, Val Acc: 0.6644
2026-07-08 01:21:39,499 - INFO - [Train Regular Models] Epoch [10/25], Train Loss: 0.2250, Val Loss: 0.6956, Train Acc: 0.9772, Val Acc: 0.5503
2026-07-08 01:21:53,895 - INFO - [Train Regular Models] Epoch [11/25], Train Loss: 0.2036, Val Loss: 0.6429, Train Acc: 0.9810, Val Acc: 0.5705
2026-07-08 01:22:08,291 - INFO - [Train Regular Models] Epoch [12/25], Train Loss: 0.1982, Val Loss: 0.5864, Train Acc: 0.9810, Val Acc: 0.6510
2026-07-08 01:22:08,421 - INFO - [Train Regular Models] Model saved at epoch 12
2026-07-08 01:22:22,815 - INFO - [Train Regular Models] Epoch [13/25], Train Loss: 0.1822, Val Loss: 0.6793, Train Acc: 0.9810, Val Acc: 0.5839
2026-07-08 01:22:37,218 - INFO - [Train Regular Models] Epoch [14/25], Train Loss: 0.1730, Val Loss: 0.6120, Train Acc: 0.9829, Val Acc: 0.5772
2026-07-08 01:22:51,603 - INFO - [Train Regular Models] Epoch [15/25], Train Loss: 0.1654, Val Loss: 0.6889, Train Acc: 0.9791, Val Acc: 0.5772
2026-07-08 01:23:06,103 - INFO - [Train Regular Models] Epoch [16/25], Train Loss: 0.1508, Val Loss: 0.5751, Train Acc: 0.9810, Val Acc: 0.6309
2026-07-08 01:23:20,489 - INFO - [Train Regular Models] Epoch [17/25], Train Loss: 0.1566, Val Loss: 0.6450, Train Acc: 0.9772, Val Acc: 0.5839
2026-07-08 01:23:34,886 - INFO - [Train Regular Models] Epoch [18/25], Train Loss: 0.1415, Val Loss: 0.5272, Train Acc: 0.9867, Val Acc: 0.6913
2026-07-08 01:23:35,024 - INFO - [Train Regular Models] Model saved at epoch 18
2026-07-08 01:23:49,421 - INFO - [Train Regular Models] Epoch [19/25], Train Loss: 0.1453, Val Loss: 0.7403, Train Acc: 0.9791, Val Acc: 0.5772
2026-07-08 01:24:03,813 - INFO - [Train Regular Models] Epoch [20/25], Train Loss: 0.1355, Val Loss: 0.6999, Train Acc: 0.9810, Val Acc: 0.5638
2026-07-08 01:24:18,195 - INFO - [Train Regular Models] Epoch [21/25], Train Loss: 0.1216, Val Loss: 0.5529, Train Acc: 0.9886, Val Acc: 0.6779
2026-07-08 01:24:32,571 - INFO - [Train Regular Models] Epoch [22/25], Train Loss: 0.1248, Val Loss: 0.7021, Train Acc: 0.9867, Val Acc: 0.5705
2026-07-08 01:24:46,971 - INFO - [Train Regular Models] Epoch [23/25], Train Loss: 0.1119, Val Loss: 0.7781, Train Acc: 0.9791, Val Acc: 0.5570
2026-07-08 01:25:01,383 - INFO - [Train Regular Models] Epoch [24/25], Train Loss: 0.1131, Val Loss: 0.6185, Train Acc: 0.9867, Val Acc: 0.6107
2026-07-08 01:25:01,516 - INFO - [Train Regular Models] Model saved at epoch 24
2026-07-08 01:25:15,917 - INFO - [Train Regular Models] Epoch [25/25], Train Loss: 0.1055, Val Loss: 0.7148, Train Acc: 0.9829, Val Acc: 0.5705
2026-07-08 01:25:16,596 - INFO - [Train Regular Models] Run 4/30 - Test Loss: 0.5307, Test Accuracy: 0.6701
2026-07-08 01:25:16,694 - INFO - [Train Regular Models] Model saved to outputs/exp1/normal_models/model_4.pt
2026-07-08 01:25:16,962 - INFO - [Train Regular Models] Training model 5/30...
2026-07-08 01:25:31,446 - INFO - [Train Regular Models] Epoch [1/25], Train Loss: 0.5741, Val Loss: 0.7368, Train Acc: 0.7319, Val Acc: 0.5101
2026-07-08 01:25:45,839 - INFO - [Train Regular Models] Epoch [2/25], Train Loss: 0.4103, Val Loss: 0.5369, Train Acc: 0.8992, Val Acc: 0.7852
2026-07-08 01:26:00,235 - INFO - [Train Regular Models] Epoch [3/25], Train Loss: 0.3421, Val Loss: 0.6047, Train Acc: 0.9373, Val Acc: 0.6510
2026-07-08 01:26:14,633 - INFO - [Train Regular Models] Epoch [4/25], Train Loss: 0.2881, Val Loss: 0.6568, Train Acc: 0.9696, Val Acc: 0.5638
2026-07-08 01:26:29,007 - INFO - [Train Regular Models] Epoch [5/25], Train Loss: 0.2555, Val Loss: 0.6403, Train Acc: 0.9829, Val Acc: 0.5369
2026-07-08 01:26:43,403 - INFO - [Train Regular Models] Epoch [6/25], Train Loss: 0.2359, Val Loss: 0.5632, Train Acc: 0.9772, Val Acc: 0.6309
2026-07-08 01:26:43,539 - INFO - [Train Regular Models] Model saved at epoch 6
2026-07-08 01:26:57,934 - INFO - [Train Regular Models] Epoch [7/25], Train Loss: 0.2152, Val Loss: 0.5543, Train Acc: 0.9810, Val Acc: 0.8121
2026-07-08 01:27:12,321 - INFO - [Train Regular Models] Epoch [8/25], Train Loss: 0.2136, Val Loss: 0.5741, Train Acc: 0.9734, Val Acc: 0.7852
2026-07-08 01:27:26,717 - INFO - [Train Regular Models] Epoch [9/25], Train Loss: 0.1930, Val Loss: 0.4875, Train Acc: 0.9791, Val Acc: 0.8591
2026-07-08 01:27:41,104 - INFO - [Train Regular Models] Epoch [10/25], Train Loss: 0.1683, Val Loss: 0.5710, Train Acc: 0.9829, Val Acc: 0.6577
2026-07-08 01:27:55,512 - INFO - [Train Regular Models] Epoch [11/25], Train Loss: 0.1601, Val Loss: 0.5072, Train Acc: 0.9753, Val Acc: 0.7315
2026-07-08 01:28:09,901 - INFO - [Train Regular Models] Epoch [12/25], Train Loss: 0.1580, Val Loss: 0.4940, Train Acc: 0.9791, Val Acc: 0.8591
2026-07-08 01:28:10,036 - INFO - [Train Regular Models] Model saved at epoch 12
2026-07-08 01:28:24,433 - INFO - [Train Regular Models] Epoch [13/25], Train Loss: 0.1389, Val Loss: 0.5182, Train Acc: 0.9753, Val Acc: 0.8322
2026-07-08 01:28:38,818 - INFO - [Train Regular Models] Epoch [14/25], Train Loss: 0.1320, Val Loss: 0.5652, Train Acc: 0.9829, Val Acc: 0.6107
2026-07-08 01:28:53,217 - INFO - [Train Regular Models] Epoch [15/25], Train Loss: 0.1180, Val Loss: 0.4900, Train Acc: 0.9810, Val Acc: 0.7517
2026-07-08 01:29:07,694 - INFO - [Train Regular Models] Epoch [16/25], Train Loss: 0.1120, Val Loss: 0.4352, Train Acc: 0.9848, Val Acc: 0.8322
2026-07-08 01:29:22,103 - INFO - [Train Regular Models] Epoch [17/25], Train Loss: 0.1140, Val Loss: 0.4390, Train Acc: 0.9848, Val Acc: 0.8658
2026-07-08 01:29:36,508 - INFO - [Train Regular Models] Epoch [18/25], Train Loss: 0.1119, Val Loss: 0.6699, Train Acc: 0.9791, Val Acc: 0.5705
2026-07-08 01:29:36,642 - INFO - [Train Regular Models] Model saved at epoch 18
2026-07-08 01:29:51,034 - INFO - [Train Regular Models] Epoch [19/25], Train Loss: 0.0996, Val Loss: 0.5842, Train Acc: 0.9829, Val Acc: 0.6242
2026-07-08 01:30:05,424 - INFO - [Train Regular Models] Epoch [20/25], Train Loss: 0.1080, Val Loss: 0.6652, Train Acc: 0.9810, Val Acc: 0.5839
2026-07-08 01:30:19,820 - INFO - [Train Regular Models] Epoch [21/25], Train Loss: 0.0978, Val Loss: 0.5619, Train Acc: 0.9791, Val Acc: 0.6443
2026-07-08 01:30:34,218 - INFO - [Train Regular Models] Epoch [22/25], Train Loss: 0.1016, Val Loss: 0.6455, Train Acc: 0.9829, Val Acc: 0.6040
2026-07-08 01:30:48,614 - INFO - [Train Regular Models] Epoch [23/25], Train Loss: 0.0991, Val Loss: 0.5913, Train Acc: 0.9753, Val Acc: 0.6174
2026-07-08 01:31:02,998 - INFO - [Train Regular Models] Epoch [24/25], Train Loss: 0.0901, Val Loss: 0.4383, Train Acc: 0.9886, Val Acc: 0.8456
2026-07-08 01:31:03,132 - INFO - [Train Regular Models] Model saved at epoch 24
2026-07-08 01:31:17,518 - INFO - [Train Regular Models] Epoch [25/25], Train Loss: 0.0853, Val Loss: 0.4694, Train Acc: 0.9848, Val Acc: 0.7383
2026-07-08 01:31:18,203 - INFO - [Train Regular Models] Run 5/30 - Test Loss: 0.3819, Test Accuracy: 0.8247
2026-07-08 01:31:18,292 - INFO - [Train Regular Models] Model saved to outputs/exp1/normal_models/model_5.pt
2026-07-08 01:31:18,563 - INFO - [Train Regular Models] Training model 6/30...
2026-07-08 01:31:33,051 - INFO - [Train Regular Models] Epoch [1/25], Train Loss: 0.5164, Val Loss: 0.5925, Train Acc: 0.7966, Val Acc: 0.7852
2026-07-08 01:31:47,439 - INFO - [Train Regular Models] Epoch [2/25], Train Loss: 0.4152, Val Loss: 0.6535, Train Acc: 0.9259, Val Acc: 0.5101
2026-07-08 01:32:01,840 - INFO - [Train Regular Models] Epoch [3/25], Train Loss: 0.3611, Val Loss: 0.5305, Train Acc: 0.9563, Val Acc: 0.8591
2026-07-08 01:32:16,229 - INFO - [Train Regular Models] Epoch [4/25], Train Loss: 0.3079, Val Loss: 0.5751, Train Acc: 0.9658, Val Acc: 0.8188
2026-07-08 01:32:30,612 - INFO - [Train Regular Models] Epoch [5/25], Train Loss: 0.3010, Val Loss: 0.5695, Train Acc: 0.9715, Val Acc: 0.6980
2026-07-08 01:32:45,003 - INFO - [Train Regular Models] Epoch [6/25], Train Loss: 0.2808, Val Loss: 0.5260, Train Acc: 0.9772, Val Acc: 0.8389
2026-07-08 01:32:45,141 - INFO - [Train Regular Models] Model saved at epoch 6
2026-07-08 01:32:59,538 - INFO - [Train Regular Models] Epoch [7/25], Train Loss: 0.2579, Val Loss: 0.5604, Train Acc: 0.9791, Val Acc: 0.7248
2026-07-08 01:33:13,936 - INFO - [Train Regular Models] Epoch [8/25], Train Loss: 0.2599, Val Loss: 0.7377, Train Acc: 0.9715, Val Acc: 0.5369
2026-07-08 01:33:28,354 - INFO - [Train Regular Models] Epoch [9/25], Train Loss: 0.2371, Val Loss: 0.6875, Train Acc: 0.9791, Val Acc: 0.5503
2026-07-08 01:33:42,753 - INFO - [Train Regular Models] Epoch [10/25], Train Loss: 0.2347, Val Loss: 0.6390, Train Acc: 0.9753, Val Acc: 0.5906
2026-07-08 01:33:57,158 - INFO - [Train Regular Models] Epoch [11/25], Train Loss: 0.2066, Val Loss: 0.5616, Train Acc: 0.9753, Val Acc: 0.7047
2026-07-08 01:34:11,563 - INFO - [Train Regular Models] Epoch [12/25], Train Loss: 0.1795, Val Loss: 0.4693, Train Acc: 0.9848, Val Acc: 0.8658
2026-07-08 01:34:11,703 - INFO - [Train Regular Models] Model saved at epoch 12
2026-07-08 01:34:26,104 - INFO - [Train Regular Models] Epoch [13/25], Train Loss: 0.1965, Val Loss: 0.5545, Train Acc: 0.9715, Val Acc: 0.6644
2026-07-08 01:34:40,500 - INFO - [Train Regular Models] Epoch [14/25], Train Loss: 0.1665, Val Loss: 0.5037, Train Acc: 0.9829, Val Acc: 0.8456
2026-07-08 01:34:54,895 - INFO - [Train Regular Models] Epoch [15/25], Train Loss: 0.1588, Val Loss: 0.5272, Train Acc: 0.9810, Val Acc: 0.6577
2026-07-08 01:35:09,307 - INFO - [Train Regular Models] Epoch [16/25], Train Loss: 0.1600, Val Loss: 0.6634, Train Acc: 0.9772, Val Acc: 0.5503
2026-07-08 01:35:23,705 - INFO - [Train Regular Models] Epoch [17/25], Train Loss: 0.1397, Val Loss: 0.5380, Train Acc: 0.9734, Val Acc: 0.8054
2026-07-08 01:35:38,108 - INFO - [Train Regular Models] Epoch [18/25], Train Loss: 0.1440, Val Loss: 0.5442, Train Acc: 0.9810, Val Acc: 0.6779
2026-07-08 01:35:38,243 - INFO - [Train Regular Models] Model saved at epoch 18
2026-07-08 01:35:52,636 - INFO - [Train Regular Models] Epoch [19/25], Train Loss: 0.1216, Val Loss: 0.5735, Train Acc: 0.9810, Val Acc: 0.6107
2026-07-08 01:36:07,038 - INFO - [Train Regular Models] Epoch [20/25], Train Loss: 0.1141, Val Loss: 0.5466, Train Acc: 0.9886, Val Acc: 0.7852
2026-07-08 01:36:21,428 - INFO - [Train Regular Models] Epoch [21/25], Train Loss: 0.1282, Val Loss: 0.5997, Train Acc: 0.9772, Val Acc: 0.7383
2026-07-08 01:36:35,817 - INFO - [Train Regular Models] Epoch [22/25], Train Loss: 0.1120, Val Loss: 0.5995, Train Acc: 0.9829, Val Acc: 0.6376
2026-07-08 01:36:50,201 - INFO - [Train Regular Models] Epoch [23/25], Train Loss: 0.1136, Val Loss: 0.6835, Train Acc: 0.9772, Val Acc: 0.5503
2026-07-08 01:37:04,611 - INFO - [Train Regular Models] Epoch [24/25], Train Loss: 0.1072, Val Loss: 0.8303, Train Acc: 0.9829, Val Acc: 0.5302
2026-07-08 01:37:04,745 - INFO - [Train Regular Models] Model saved at epoch 24
2026-07-08 01:37:19,140 - INFO - [Train Regular Models] Epoch [25/25], Train Loss: 0.1054, Val Loss: 0.5021, Train Acc: 0.9791, Val Acc: 0.7181
2026-07-08 01:37:19,827 - INFO - [Train Regular Models] Run 6/30 - Test Loss: 0.4059, Test Accuracy: 0.8041
2026-07-08 01:37:19,920 - INFO - [Train Regular Models] Model saved to outputs/exp1/normal_models/model_6.pt
2026-07-08 01:37:20,193 - INFO - [Train Regular Models] Training model 7/30...
2026-07-08 01:37:34,700 - INFO - [Train Regular Models] Epoch [1/25], Train Loss: 0.4952, Val Loss: 0.9333, Train Acc: 0.7719, Val Acc: 0.4631
2026-07-08 01:37:49,087 - INFO - [Train Regular Models] Epoch [2/25], Train Loss: 0.3434, Val Loss: 0.9318, Train Acc: 0.9030, Val Acc: 0.4631
2026-07-08 01:38:03,489 - INFO - [Train Regular Models] Epoch [3/25], Train Loss: 0.2749, Val Loss: 0.6245, Train Acc: 0.9487, Val Acc: 0.6242
2026-07-08 01:38:17,891 - INFO - [Train Regular Models] Epoch [4/25], Train Loss: 0.2519, Val Loss: 0.7076, Train Acc: 0.9734, Val Acc: 0.5436
2026-07-08 01:38:32,292 - INFO - [Train Regular Models] Epoch [5/25], Train Loss: 0.2420, Val Loss: 0.6122, Train Acc: 0.9677, Val Acc: 0.6040
2026-07-08 01:38:46,678 - INFO - [Train Regular Models] Epoch [6/25], Train Loss: 0.2132, Val Loss: 0.7147, Train Acc: 0.9734, Val Acc: 0.5503
2026-07-08 01:38:46,816 - INFO - [Train Regular Models] Model saved at epoch 6
2026-07-08 01:39:01,229 - INFO - [Train Regular Models] Epoch [7/25], Train Loss: 0.1928, Val Loss: 0.8075, Train Acc: 0.9829, Val Acc: 0.5101
2026-07-08 01:39:15,628 - INFO - [Train Regular Models] Epoch [8/25], Train Loss: 0.1737, Val Loss: 0.5032, Train Acc: 0.9791, Val Acc: 0.8389
2026-07-08 01:39:30,029 - INFO - [Train Regular Models] Epoch [9/25], Train Loss: 0.1793, Val Loss: 0.6098, Train Acc: 0.9810, Val Acc: 0.6174
2026-07-08 01:39:44,419 - INFO - [Train Regular Models] Epoch [10/25], Train Loss: 0.1620, Val Loss: 0.8713, Train Acc: 0.9753, Val Acc: 0.5168
2026-07-08 01:39:58,818 - INFO - [Train Regular Models] Epoch [11/25], Train Loss: 0.1442, Val Loss: 0.6082, Train Acc: 0.9810, Val Acc: 0.5839
2026-07-08 01:40:13,214 - INFO - [Train Regular Models] Epoch [12/25], Train Loss: 0.1405, Val Loss: 0.5352, Train Acc: 0.9753, Val Acc: 0.7987
2026-07-08 01:40:13,350 - INFO - [Train Regular Models] Model saved at epoch 12
2026-07-08 01:40:27,755 - INFO - [Train Regular Models] Epoch [13/25], Train Loss: 0.1344, Val Loss: 0.6029, Train Acc: 0.9829, Val Acc: 0.6040
2026-07-08 01:40:42,161 - INFO - [Train Regular Models] Epoch [14/25], Train Loss: 0.1205, Val Loss: 0.6131, Train Acc: 0.9791, Val Acc: 0.5973
2026-07-08 01:40:56,555 - INFO - [Train Regular Models] Epoch [15/25], Train Loss: 0.1122, Val Loss: 0.6026, Train Acc: 0.9848, Val Acc: 0.6107
2026-07-08 01:41:10,936 - INFO - [Train Regular Models] Epoch [16/25], Train Loss: 0.1093, Val Loss: 0.5155, Train Acc: 0.9791, Val Acc: 0.7785
2026-07-08 01:41:25,337 - INFO - [Train Regular Models] Epoch [17/25], Train Loss: 0.1208, Val Loss: 0.6976, Train Acc: 0.9791, Val Acc: 0.5570
2026-07-08 01:41:39,737 - INFO - [Train Regular Models] Epoch [18/25], Train Loss: 0.1344, Val Loss: 1.0305, Train Acc: 0.9791, Val Acc: 0.5034
2026-07-08 01:41:39,874 - INFO - [Train Regular Models] Model saved at epoch 18
2026-07-08 01:41:54,279 - INFO - [Train Regular Models] Epoch [19/25], Train Loss: 0.1105, Val Loss: 0.8610, Train Acc: 0.9886, Val Acc: 0.5302
2026-07-08 01:42:08,664 - INFO - [Train Regular Models] Epoch [20/25], Train Loss: 0.1144, Val Loss: 0.9194, Train Acc: 0.9791, Val Acc: 0.5369
2026-07-08 01:42:23,062 - INFO - [Train Regular Models] Epoch [21/25], Train Loss: 0.1017, Val Loss: 0.5619, Train Acc: 0.9867, Val Acc: 0.6510
2026-07-08 01:42:37,445 - INFO - [Train Regular Models] Epoch [22/25], Train Loss: 0.0929, Val Loss: 0.5483, Train Acc: 0.9886, Val Acc: 0.7181
2026-07-08 01:42:51,845 - INFO - [Train Regular Models] Epoch [23/25], Train Loss: 0.0940, Val Loss: 0.5473, Train Acc: 0.9810, Val Acc: 0.6577
2026-07-08 01:43:06,234 - INFO - [Train Regular Models] Epoch [24/25], Train Loss: 0.0794, Val Loss: 0.5701, Train Acc: 0.9867, Val Acc: 0.6443
2026-07-08 01:43:06,369 - INFO - [Train Regular Models] Model saved at epoch 24
2026-07-08 01:43:20,770 - INFO - [Train Regular Models] Epoch [25/25], Train Loss: 0.0881, Val Loss: 0.5758, Train Acc: 0.9791, Val Acc: 0.6107
2026-07-08 01:43:21,465 - INFO - [Train Regular Models] Run 7/30 - Test Loss: 0.4716, Test Accuracy: 0.7216
2026-07-08 01:43:21,560 - INFO - [Train Regular Models] Model saved to outputs/exp1/normal_models/model_7.pt
2026-07-08 01:43:21,830 - INFO - [Train Regular Models] Training model 8/30...
2026-07-08 01:43:36,303 - INFO - [Train Regular Models] Epoch [1/25], Train Loss: 0.5739, Val Loss: 0.6754, Train Acc: 0.7357, Val Acc: 0.5705
2026-07-08 01:43:50,673 - INFO - [Train Regular Models] Epoch [2/25], Train Loss: 0.4614, Val Loss: 0.6468, Train Acc: 0.9087, Val Acc: 0.5638
2026-07-08 01:44:05,052 - INFO - [Train Regular Models] Epoch [3/25], Train Loss: 0.4142, Val Loss: 0.5501, Train Acc: 0.9335, Val Acc: 0.7919
2026-07-08 01:44:19,429 - INFO - [Train Regular Models] Epoch [4/25], Train Loss: 0.3823, Val Loss: 0.6099, Train Acc: 0.9525, Val Acc: 0.5973
2026-07-08 01:44:33,802 - INFO - [Train Regular Models] Epoch [5/25], Train Loss: 0.3473, Val Loss: 0.5656, Train Acc: 0.9639, Val Acc: 0.8188
2026-07-08 01:44:48,192 - INFO - [Train Regular Models] Epoch [6/25], Train Loss: 0.3123, Val Loss: 0.5210, Train Acc: 0.9772, Val Acc: 0.8054
2026-07-08 01:44:48,305 - INFO - [Train Regular Models] Model saved at epoch 6
2026-07-08 01:45:02,678 - INFO - [Train Regular Models] Epoch [7/25], Train Loss: 0.2948, Val Loss: 0.5197, Train Acc: 0.9772, Val Acc: 0.7987
2026-07-08 01:45:17,038 - INFO - [Train Regular Models] Epoch [8/25], Train Loss: 0.2799, Val Loss: 0.5473, Train Acc: 0.9677, Val Acc: 0.7047
2026-07-08 01:45:31,404 - INFO - [Train Regular Models] Epoch [9/25], Train Loss: 0.2505, Val Loss: 0.5295, Train Acc: 0.9753, Val Acc: 0.8188
2026-07-08 01:45:45,786 - INFO - [Train Regular Models] Epoch [10/25], Train Loss: 0.2431, Val Loss: 0.5406, Train Acc: 0.9772, Val Acc: 0.7919
2026-07-08 01:46:00,167 - INFO - [Train Regular Models] Epoch [11/25], Train Loss: 0.2212, Val Loss: 0.5404, Train Acc: 0.9810, Val Acc: 0.8255
2026-07-08 01:46:14,538 - INFO - [Train Regular Models] Epoch [12/25], Train Loss: 0.2129, Val Loss: 0.4794, Train Acc: 0.9753, Val Acc: 0.8591
2026-07-08 01:46:14,658 - INFO - [Train Regular Models] Model saved at epoch 12
2026-07-08 01:46:29,033 - INFO - [Train Regular Models] Epoch [13/25], Train Loss: 0.1922, Val Loss: 0.5159, Train Acc: 0.9867, Val Acc: 0.8322
2026-07-08 01:46:43,401 - INFO - [Train Regular Models] Epoch [14/25], Train Loss: 0.1980, Val Loss: 0.6201, Train Acc: 0.9658, Val Acc: 0.6510
2026-07-08 01:46:57,767 - INFO - [Train Regular Models] Epoch [15/25], Train Loss: 0.1690, Val Loss: 0.5945, Train Acc: 0.9848, Val Acc: 0.6376
2026-07-08 01:47:12,136 - INFO - [Train Regular Models] Epoch [16/25], Train Loss: 0.1684, Val Loss: 0.5891, Train Acc: 0.9772, Val Acc: 0.6510
2026-07-08 01:47:26,499 - INFO - [Train Regular Models] Epoch [17/25], Train Loss: 0.1612, Val Loss: 0.4837, Train Acc: 0.9848, Val Acc: 0.8255
2026-07-08 01:47:40,874 - INFO - [Train Regular Models] Epoch [18/25], Train Loss: 0.1559, Val Loss: 0.6789, Train Acc: 0.9791, Val Acc: 0.5906
2026-07-08 01:47:40,995 - INFO - [Train Regular Models] Model saved at epoch 18
2026-07-08 01:47:55,369 - INFO - [Train Regular Models] Epoch [19/25], Train Loss: 0.1476, Val Loss: 0.5580, Train Acc: 0.9753, Val Acc: 0.8188
2026-07-08 01:48:09,757 - INFO - [Train Regular Models] Epoch [20/25], Train Loss: 0.1291, Val Loss: 0.5540, Train Acc: 0.9886, Val Acc: 0.6644
2026-07-08 01:48:24,127 - INFO - [Train Regular Models] Epoch [21/25], Train Loss: 0.1334, Val Loss: 0.6869, Train Acc: 0.9753, Val Acc: 0.5772
2026-07-08 01:48:38,499 - INFO - [Train Regular Models] Epoch [22/25], Train Loss: 0.1192, Val Loss: 0.6005, Train Acc: 0.9867, Val Acc: 0.5772
2026-07-08 01:48:52,873 - INFO - [Train Regular Models] Epoch [23/25], Train Loss: 0.1198, Val Loss: 0.4907, Train Acc: 0.9886, Val Acc: 0.8389
2026-07-08 01:49:07,245 - INFO - [Train Regular Models] Epoch [24/25], Train Loss: 0.1051, Val Loss: 0.4545, Train Acc: 0.9829, Val Acc: 0.8322
2026-07-08 01:49:07,358 - INFO - [Train Regular Models] Model saved at epoch 24
2026-07-08 01:49:21,719 - INFO - [Train Regular Models] Epoch [25/25], Train Loss: 0.1160, Val Loss: 0.6059, Train Acc: 0.9715, Val Acc: 0.6174
2026-07-08 01:49:22,408 - INFO - [Train Regular Models] Run 8/30 - Test Loss: 0.4985, Test Accuracy: 0.7423
2026-07-08 01:49:22,485 - INFO - [Train Regular Models] Model saved to outputs/exp1/normal_models/model_8.pt
2026-07-08 01:49:22,758 - INFO - [Train Regular Models] Training model 9/30...
2026-07-08 01:49:37,230 - INFO - [Train Regular Models] Epoch [1/25], Train Loss: 0.5329, Val Loss: 0.7269, Train Acc: 0.8308, Val Acc: 0.4631
2026-07-08 01:49:51,618 - INFO - [Train Regular Models] Epoch [2/25], Train Loss: 0.4019, Val Loss: 0.5294, Train Acc: 0.9297, Val Acc: 0.7852
2026-07-08 01:50:06,002 - INFO - [Train Regular Models] Epoch [3/25], Train Loss: 0.3455, Val Loss: 0.5451, Train Acc: 0.9601, Val Acc: 0.7114
2026-07-08 01:50:20,394 - INFO - [Train Regular Models] Epoch [4/25], Train Loss: 0.3149, Val Loss: 0.5678, Train Acc: 0.9544, Val Acc: 0.7919
2026-07-08 01:50:34,769 - INFO - [Train Regular Models] Epoch [5/25], Train Loss: 0.2864, Val Loss: 0.6303, Train Acc: 0.9810, Val Acc: 0.5839
2026-07-08 01:50:49,167 - INFO - [Train Regular Models] Epoch [6/25], Train Loss: 0.2707, Val Loss: 0.6244, Train Acc: 0.9715, Val Acc: 0.6040
2026-07-08 01:50:49,281 - INFO - [Train Regular Models] Model saved at epoch 6
2026-07-08 01:51:03,677 - INFO - [Train Regular Models] Epoch [7/25], Train Loss: 0.2749, Val Loss: 0.5617, Train Acc: 0.9696, Val Acc: 0.6846
2026-07-08 01:51:18,072 - INFO - [Train Regular Models] Epoch [8/25], Train Loss: 0.2449, Val Loss: 0.6009, Train Acc: 0.9753, Val Acc: 0.5973
2026-07-08 01:51:32,459 - INFO - [Train Regular Models] Epoch [9/25], Train Loss: 0.2096, Val Loss: 0.5512, Train Acc: 0.9829, Val Acc: 0.7114
2026-07-08 01:51:46,841 - INFO - [Train Regular Models] Epoch [10/25], Train Loss: 0.2185, Val Loss: 0.6190, Train Acc: 0.9791, Val Acc: 0.5973
2026-07-08 01:52:01,217 - INFO - [Train Regular Models] Epoch [11/25], Train Loss: 0.1917, Val Loss: 0.5245, Train Acc: 0.9810, Val Acc: 0.7919
2026-07-08 01:52:15,583 - INFO - [Train Regular Models] Epoch [12/25], Train Loss: 0.1747, Val Loss: 0.5399, Train Acc: 0.9810, Val Acc: 0.7315
2026-07-08 01:52:15,706 - INFO - [Train Regular Models] Model saved at epoch 12
2026-07-08 01:52:30,084 - INFO - [Train Regular Models] Epoch [13/25], Train Loss: 0.1788, Val Loss: 0.5483, Train Acc: 0.9753, Val Acc: 0.7987
2026-07-08 01:52:44,469 - INFO - [Train Regular Models] Epoch [14/25], Train Loss: 0.1635, Val Loss: 0.5649, Train Acc: 0.9772, Val Acc: 0.7584
2026-07-08 01:52:58,848 - INFO - [Train Regular Models] Epoch [15/25], Train Loss: 0.1428, Val Loss: 0.8318, Train Acc: 0.9829, Val Acc: 0.5436
2026-07-08 01:53:13,219 - INFO - [Train Regular Models] Epoch [16/25], Train Loss: 0.1439, Val Loss: 0.6657, Train Acc: 0.9829, Val Acc: 0.5570
2026-07-08 01:53:27,620 - INFO - [Train Regular Models] Epoch [17/25], Train Loss: 0.1382, Val Loss: 0.4953, Train Acc: 0.9810, Val Acc: 0.8121
2026-07-08 01:53:42,018 - INFO - [Train Regular Models] Epoch [18/25], Train Loss: 0.1411, Val Loss: 0.6155, Train Acc: 0.9753, Val Acc: 0.6040
2026-07-08 01:53:42,135 - INFO - [Train Regular Models] Model saved at epoch 18
2026-07-08 01:53:56,517 - INFO - [Train Regular Models] Epoch [19/25], Train Loss: 0.1370, Val Loss: 0.5925, Train Acc: 0.9810, Val Acc: 0.6711
2026-07-08 01:54:10,888 - INFO - [Train Regular Models] Epoch [20/25], Train Loss: 0.1281, Val Loss: 0.5702, Train Acc: 0.9848, Val Acc: 0.6779
2026-07-08 01:54:25,285 - INFO - [Train Regular Models] Epoch [21/25], Train Loss: 0.1190, Val Loss: 0.6020, Train Acc: 0.9734, Val Acc: 0.6040
2026-07-08 01:54:39,674 - INFO - [Train Regular Models] Epoch [22/25], Train Loss: 0.1165, Val Loss: 0.4796, Train Acc: 0.9772, Val Acc: 0.6980
2026-07-08 01:54:54,068 - INFO - [Train Regular Models] Epoch [23/25], Train Loss: 0.1007, Val Loss: 0.4776, Train Acc: 0.9810, Val Acc: 0.8322
2026-07-08 01:55:08,456 - INFO - [Train Regular Models] Epoch [24/25], Train Loss: 0.0959, Val Loss: 0.4534, Train Acc: 0.9810, Val Acc: 0.8322
2026-07-08 01:55:08,575 - INFO - [Train Regular Models] Model saved at epoch 24
2026-07-08 01:55:22,945 - INFO - [Train Regular Models] Epoch [25/25], Train Loss: 0.1018, Val Loss: 0.5017, Train Acc: 0.9848, Val Acc: 0.6980
2026-07-08 01:55:23,625 - INFO - [Train Regular Models] Run 9/30 - Test Loss: 0.4081, Test Accuracy: 0.8144
2026-07-08 01:55:23,702 - INFO - [Train Regular Models] Model saved to outputs/exp1/normal_models/model_9.pt
2026-07-08 01:55:23,978 - INFO - [Train Regular Models] Training model 10/30...
2026-07-08 01:55:38,449 - INFO - [Train Regular Models] Epoch [1/25], Train Loss: 0.5502, Val Loss: 0.6700, Train Acc: 0.7490, Val Acc: 0.5235
2026-07-08 01:55:52,819 - INFO - [Train Regular Models] Epoch [2/25], Train Loss: 0.4400, Val Loss: 0.7074, Train Acc: 0.8992, Val Acc: 0.4631
2026-07-08 01:56:07,194 - INFO - [Train Regular Models] Epoch [3/25], Train Loss: 0.3835, Val Loss: 0.6197, Train Acc: 0.9373, Val Acc: 0.6174
2026-07-08 01:56:21,549 - INFO - [Train Regular Models] Epoch [4/25], Train Loss: 0.3455, Val Loss: 0.6379, Train Acc: 0.9715, Val Acc: 0.5503
2026-07-08 01:56:35,919 - INFO - [Train Regular Models] Epoch [5/25], Train Loss: 0.3286, Val Loss: 0.5948, Train Acc: 0.9658, Val Acc: 0.6846
2026-07-08 01:56:50,304 - INFO - [Train Regular Models] Epoch [6/25], Train Loss: 0.2933, Val Loss: 0.6273, Train Acc: 0.9772, Val Acc: 0.6510
2026-07-08 01:56:50,420 - INFO - [Train Regular Models] Model saved at epoch 6
2026-07-08 01:57:04,800 - INFO - [Train Regular Models] Epoch [7/25], Train Loss: 0.2865, Val Loss: 0.5986, Train Acc: 0.9791, Val Acc: 0.6174
2026-07-08 01:57:19,192 - INFO - [Train Regular Models] Epoch [8/25], Train Loss: 0.2655, Val Loss: 0.6682, Train Acc: 0.9791, Val Acc: 0.5705
2026-07-08 01:57:33,582 - INFO - [Train Regular Models] Epoch [9/25], Train Loss: 0.2447, Val Loss: 0.5758, Train Acc: 0.9772, Val Acc: 0.6376
2026-07-08 01:57:47,970 - INFO - [Train Regular Models] Epoch [10/25], Train Loss: 0.2452, Val Loss: 0.6111, Train Acc: 0.9829, Val Acc: 0.6376
2026-07-08 01:58:02,361 - INFO - [Train Regular Models] Epoch [11/25], Train Loss: 0.2237, Val Loss: 0.7936, Train Acc: 0.9848, Val Acc: 0.4966
2026-07-08 01:58:16,745 - INFO - [Train Regular Models] Epoch [12/25], Train Loss: 0.2220, Val Loss: 0.8597, Train Acc: 0.9810, Val Acc: 0.4631
2026-07-08 01:58:16,862 - INFO - [Train Regular Models] Model saved at epoch 12
2026-07-08 01:58:31,256 - INFO - [Train Regular Models] Epoch [13/25], Train Loss: 0.2072, Val Loss: 0.6203, Train Acc: 0.9829, Val Acc: 0.6309
2026-07-08 01:58:45,650 - INFO - [Train Regular Models] Epoch [14/25], Train Loss: 0.1970, Val Loss: 0.6293, Train Acc: 0.9867, Val Acc: 0.5705
2026-07-08 01:59:00,019 - INFO - [Train Regular Models] Epoch [15/25], Train Loss: 0.1790, Val Loss: 0.6487, Train Acc: 0.9829, Val Acc: 0.5570
2026-07-08 01:59:14,511 - INFO - [Train Regular Models] Epoch [16/25], Train Loss: 0.1648, Val Loss: 0.8208, Train Acc: 0.9886, Val Acc: 0.5168
2026-07-08 01:59:28,883 - INFO - [Train Regular Models] Epoch [17/25], Train Loss: 0.1622, Val Loss: 0.6835, Train Acc: 0.9867, Val Acc: 0.5638
2026-07-08 01:59:43,273 - INFO - [Train Regular Models] Epoch [18/25], Train Loss: 0.1586, Val Loss: 0.5590, Train Acc: 0.9829, Val Acc: 0.6510
2026-07-08 01:59:43,392 - INFO - [Train Regular Models] Model saved at epoch 18
2026-07-08 01:59:57,803 - INFO - [Train Regular Models] Epoch [19/25], Train Loss: 0.1375, Val Loss: 0.6001, Train Acc: 0.9867, Val Acc: 0.6107
2026-07-08 02:00:12,218 - INFO - [Train Regular Models] Epoch [20/25], Train Loss: 0.1318, Val Loss: 0.5314, Train Acc: 0.9829, Val Acc: 0.6644
2026-07-08 02:00:26,616 - INFO - [Train Regular Models] Epoch [21/25], Train Loss: 0.1271, Val Loss: 0.6448, Train Acc: 0.9867, Val Acc: 0.5906
2026-07-08 02:00:41,013 - INFO - [Train Regular Models] Epoch [22/25], Train Loss: 0.1171, Val Loss: 0.8663, Train Acc: 0.9848, Val Acc: 0.5369
2026-07-08 02:00:55,406 - INFO - [Train Regular Models] Epoch [23/25], Train Loss: 0.1182, Val Loss: 0.5991, Train Acc: 0.9886, Val Acc: 0.6443
2026-07-08 02:01:09,803 - INFO - [Train Regular Models] Epoch [24/25], Train Loss: 0.1148, Val Loss: 0.5206, Train Acc: 0.9810, Val Acc: 0.7450
2026-07-08 02:01:09,917 - INFO - [Train Regular Models] Model saved at epoch 24
2026-07-08 02:01:24,318 - INFO - [Train Regular Models] Epoch [25/25], Train Loss: 0.1065, Val Loss: 0.5463, Train Acc: 0.9848, Val Acc: 0.6711
2026-07-08 02:01:25,009 - INFO - [Train Regular Models] Run 10/30 - Test Loss: 0.4387, Test Accuracy: 0.8041
2026-07-08 02:01:25,086 - INFO - [Train Regular Models] Model saved to outputs/exp1/normal_models/model_10.pt
2026-07-08 02:01:25,362 - INFO - [Train Regular Models] Training model 11/30...
2026-07-08 02:01:39,825 - INFO - [Train Regular Models] Epoch [1/25], Train Loss: 0.5737, Val Loss: 0.6378, Train Acc: 0.7928, Val Acc: 0.6107
2026-07-08 02:01:54,202 - INFO - [Train Regular Models] Epoch [2/25], Train Loss: 0.4734, Val Loss: 0.6003, Train Acc: 0.9259, Val Acc: 0.7718
2026-07-08 02:02:08,577 - INFO - [Train Regular Models] Epoch [3/25], Train Loss: 0.4379, Val Loss: 0.5785, Train Acc: 0.9468, Val Acc: 0.7919
2026-07-08 02:02:22,964 - INFO - [Train Regular Models] Epoch [4/25], Train Loss: 0.4043, Val Loss: 0.5678, Train Acc: 0.9696, Val Acc: 0.7785
2026-07-08 02:02:37,333 - INFO - [Train Regular Models] Epoch [5/25], Train Loss: 0.3780, Val Loss: 0.6310, Train Acc: 0.9715, Val Acc: 0.5839
2026-07-08 02:02:51,705 - INFO - [Train Regular Models] Epoch [6/25], Train Loss: 0.3578, Val Loss: 0.6243, Train Acc: 0.9791, Val Acc: 0.6242
2026-07-08 02:02:51,821 - INFO - [Train Regular Models] Model saved at epoch 6
2026-07-08 02:03:06,208 - INFO - [Train Regular Models] Epoch [7/25], Train Loss: 0.3328, Val Loss: 0.5416, Train Acc: 0.9772, Val Acc: 0.7987
2026-07-08 02:03:20,586 - INFO - [Train Regular Models] Epoch [8/25], Train Loss: 0.3170, Val Loss: 0.5581, Train Acc: 0.9829, Val Acc: 0.6980
2026-07-08 02:03:34,971 - INFO - [Train Regular Models] Epoch [9/25], Train Loss: 0.2934, Val Loss: 0.5505, Train Acc: 0.9848, Val Acc: 0.8054
2026-07-08 02:03:49,350 - INFO - [Train Regular Models] Epoch [10/25], Train Loss: 0.2781, Val Loss: 0.6586, Train Acc: 0.9810, Val Acc: 0.5839
2026-07-08 02:04:03,737 - INFO - [Train Regular Models] Epoch [11/25], Train Loss: 0.2787, Val Loss: 0.5794, Train Acc: 0.9772, Val Acc: 0.6779
2026-07-08 02:04:18,122 - INFO - [Train Regular Models] Epoch [12/25], Train Loss: 0.2526, Val Loss: 0.6403, Train Acc: 0.9772, Val Acc: 0.6980
2026-07-08 02:04:18,242 - INFO - [Train Regular Models] Model saved at epoch 12
2026-07-08 02:04:32,629 - INFO - [Train Regular Models] Epoch [13/25], Train Loss: 0.2444, Val Loss: 0.5919, Train Acc: 0.9867, Val Acc: 0.6644
2026-07-08 02:04:47,011 - INFO - [Train Regular Models] Epoch [14/25], Train Loss: 0.2276, Val Loss: 0.6779, Train Acc: 0.9886, Val Acc: 0.5906
2026-07-08 02:05:01,390 - INFO - [Train Regular Models] Epoch [15/25], Train Loss: 0.2176, Val Loss: 0.4904, Train Acc: 0.9715, Val Acc: 0.8456
2026-07-08 02:05:15,766 - INFO - [Train Regular Models] Epoch [16/25], Train Loss: 0.2005, Val Loss: 0.5043, Train Acc: 0.9810, Val Acc: 0.8389
2026-07-08 02:05:30,140 - INFO - [Train Regular Models] Epoch [17/25], Train Loss: 0.1958, Val Loss: 0.5947, Train Acc: 0.9753, Val Acc: 0.6242
2026-07-08 02:05:44,535 - INFO - [Train Regular Models] Epoch [18/25], Train Loss: 0.1881, Val Loss: 0.6288, Train Acc: 0.9829, Val Acc: 0.5906
2026-07-08 02:05:44,651 - INFO - [Train Regular Models] Model saved at epoch 18
2026-07-08 02:05:59,047 - INFO - [Train Regular Models] Epoch [19/25], Train Loss: 0.1806, Val Loss: 0.5677, Train Acc: 0.9753, Val Acc: 0.6711
2026-07-08 02:06:13,435 - INFO - [Train Regular Models] Epoch [20/25], Train Loss: 0.1642, Val Loss: 0.6630, Train Acc: 0.9791, Val Acc: 0.5570
2026-07-08 02:06:27,825 - INFO - [Train Regular Models] Epoch [21/25], Train Loss: 0.1576, Val Loss: 0.6012, Train Acc: 0.9848, Val Acc: 0.6242
2026-07-08 02:06:42,201 - INFO - [Train Regular Models] Epoch [22/25], Train Loss: 0.1460, Val Loss: 0.7568, Train Acc: 0.9848, Val Acc: 0.5570
2026-07-08 02:06:56,589 - INFO - [Train Regular Models] Epoch [23/25], Train Loss: 0.1413, Val Loss: 0.5237, Train Acc: 0.9734, Val Acc: 0.8188
2026-07-08 02:07:10,979 - INFO - [Train Regular Models] Epoch [24/25], Train Loss: 0.1429, Val Loss: 0.5940, Train Acc: 0.9848, Val Acc: 0.6309
2026-07-08 02:07:11,088 - INFO - [Train Regular Models] Model saved at epoch 24
2026-07-08 02:07:25,473 - INFO - [Train Regular Models] Epoch [25/25], Train Loss: 0.1317, Val Loss: 0.5790, Train Acc: 0.9829, Val Acc: 0.6376
2026-07-08 02:07:26,160 - INFO - [Train Regular Models] Run 11/30 - Test Loss: 0.4684, Test Accuracy: 0.7629
2026-07-08 02:07:26,237 - INFO - [Train Regular Models] Model saved to outputs/exp1/normal_models/model_11.pt
2026-07-08 02:07:26,509 - INFO - [Train Regular Models] Training model 12/30...
2026-07-08 02:07:40,976 - INFO - [Train Regular Models] Epoch [1/25], Train Loss: 0.5014, Val Loss: 0.6467, Train Acc: 0.8270, Val Acc: 0.5034
2026-07-08 02:07:55,357 - INFO - [Train Regular Models] Epoch [2/25], Train Loss: 0.3659, Val Loss: 0.7217, Train Acc: 0.9373, Val Acc: 0.4631
2026-07-08 02:08:09,756 - INFO - [Train Regular Models] Epoch [3/25], Train Loss: 0.3472, Val Loss: 0.6600, Train Acc: 0.9582, Val Acc: 0.5235
2026-07-08 02:08:24,151 - INFO - [Train Regular Models] Epoch [4/25], Train Loss: 0.3149, Val Loss: 0.6085, Train Acc: 0.9601, Val Acc: 0.7248
2026-07-08 02:08:38,535 - INFO - [Train Regular Models] Epoch [5/25], Train Loss: 0.2846, Val Loss: 0.8704, Train Acc: 0.9696, Val Acc: 0.4631
2026-07-08 02:08:52,929 - INFO - [Train Regular Models] Epoch [6/25], Train Loss: 0.2515, Val Loss: 0.6184, Train Acc: 0.9658, Val Acc: 0.7987
2026-07-08 02:08:53,043 - INFO - [Train Regular Models] Model saved at epoch 6
2026-07-08 02:09:07,423 - INFO - [Train Regular Models] Epoch [7/25], Train Loss: 0.2451, Val Loss: 0.8033, Train Acc: 0.9791, Val Acc: 0.4832
2026-07-08 02:09:21,818 - INFO - [Train Regular Models] Epoch [8/25], Train Loss: 0.2329, Val Loss: 0.8386, Train Acc: 0.9772, Val Acc: 0.4765
2026-07-08 02:09:36,191 - INFO - [Train Regular Models] Epoch [9/25], Train Loss: 0.1981, Val Loss: 0.7645, Train Acc: 0.9829, Val Acc: 0.5436
2026-07-08 02:09:50,568 - INFO - [Train Regular Models] Epoch [10/25], Train Loss: 0.1819, Val Loss: 0.6328, Train Acc: 0.9829, Val Acc: 0.5705
2026-07-08 02:10:04,952 - INFO - [Train Regular Models] Epoch [11/25], Train Loss: 0.1767, Val Loss: 0.6327, Train Acc: 0.9772, Val Acc: 0.5906
2026-07-08 02:10:19,351 - INFO - [Train Regular Models] Epoch [12/25], Train Loss: 0.1699, Val Loss: 0.5347, Train Acc: 0.9810, Val Acc: 0.7047
2026-07-08 02:10:19,467 - INFO - [Train Regular Models] Model saved at epoch 12
2026-07-08 02:10:33,852 - INFO - [Train Regular Models] Epoch [13/25], Train Loss: 0.1547, Val Loss: 0.6229, Train Acc: 0.9848, Val Acc: 0.5839
2026-07-08 02:10:48,235 - INFO - [Train Regular Models] Epoch [14/25], Train Loss: 0.1524, Val Loss: 0.5005, Train Acc: 0.9696, Val Acc: 0.8054
2026-07-08 02:11:02,620 - INFO - [Train Regular Models] Epoch [15/25], Train Loss: 0.1383, Val Loss: 0.4639, Train Acc: 0.9810, Val Acc: 0.8322
2026-07-08 02:11:17,012 - INFO - [Train Regular Models] Epoch [16/25], Train Loss: 0.1307, Val Loss: 0.7395, Train Acc: 0.9810, Val Acc: 0.5436
2026-07-08 02:11:31,504 - INFO - [Train Regular Models] Epoch [17/25], Train Loss: 0.1213, Val Loss: 0.5418, Train Acc: 0.9848, Val Acc: 0.6913
2026-07-08 02:11:45,883 - INFO - [Train Regular Models] Epoch [18/25], Train Loss: 0.1179, Val Loss: 0.6054, Train Acc: 0.9810, Val Acc: 0.5973
2026-07-08 02:11:45,998 - INFO - [Train Regular Models] Model saved at epoch 18
2026-07-08 02:12:00,386 - INFO - [Train Regular Models] Epoch [19/25], Train Loss: 0.1218, Val Loss: 0.4810, Train Acc: 0.9867, Val Acc: 0.8792
2026-07-08 02:12:14,783 - INFO - [Train Regular Models] Epoch [20/25], Train Loss: 0.1129, Val Loss: 0.5387, Train Acc: 0.9867, Val Acc: 0.6913
2026-07-08 02:12:29,168 - INFO - [Train Regular Models] Epoch [21/25], Train Loss: 0.0999, Val Loss: 0.4775, Train Acc: 0.9848, Val Acc: 0.8322
2026-07-08 02:12:43,570 - INFO - [Train Regular Models] Epoch [22/25], Train Loss: 0.0953, Val Loss: 0.6714, Train Acc: 0.9867, Val Acc: 0.5906
2026-07-08 02:12:57,960 - INFO - [Train Regular Models] Epoch [23/25], Train Loss: 0.1186, Val Loss: 0.6726, Train Acc: 0.9753, Val Acc: 0.5839
2026-07-08 02:13:12,355 - INFO - [Train Regular Models] Epoch [24/25], Train Loss: 0.0831, Val Loss: 0.5356, Train Acc: 0.9886, Val Acc: 0.6980
2026-07-08 02:13:12,470 - INFO - [Train Regular Models] Model saved at epoch 24
2026-07-08 02:13:26,871 - INFO - [Train Regular Models] Epoch [25/25], Train Loss: 0.0916, Val Loss: 0.4519, Train Acc: 0.9829, Val Acc: 0.8255
2026-07-08 02:13:27,557 - INFO - [Train Regular Models] Run 12/30 - Test Loss: 0.3736, Test Accuracy: 0.8866
2026-07-08 02:13:27,630 - INFO - [Train Regular Models] Model saved to outputs/exp1/normal_models/model_12.pt
2026-07-08 02:13:27,908 - INFO - [Train Regular Models] Training model 13/30...
2026-07-08 02:13:42,386 - INFO - [Train Regular Models] Epoch [1/25], Train Loss: 0.5373, Val Loss: 0.6853, Train Acc: 0.8004, Val Acc: 0.4832
2026-07-08 02:13:56,785 - INFO - [Train Regular Models] Epoch [2/25], Train Loss: 0.4137, Val Loss: 0.6066, Train Acc: 0.9163, Val Acc: 0.7517
2026-07-08 02:14:11,185 - INFO - [Train Regular Models] Epoch [3/25], Train Loss: 0.3811, Val Loss: 0.5632, Train Acc: 0.9449, Val Acc: 0.7651
2026-07-08 02:14:25,593 - INFO - [Train Regular Models] Epoch [4/25], Train Loss: 0.3382, Val Loss: 0.6917, Train Acc: 0.9639, Val Acc: 0.4631
2026-07-08 02:14:39,990 - INFO - [Train Regular Models] Epoch [5/25], Train Loss: 0.3340, Val Loss: 0.6067, Train Acc: 0.9658, Val Acc: 0.7651
2026-07-08 02:14:54,386 - INFO - [Train Regular Models] Epoch [6/25], Train Loss: 0.2977, Val Loss: 0.6293, Train Acc: 0.9867, Val Acc: 0.5436
2026-07-08 02:14:54,506 - INFO - [Train Regular Models] Model saved at epoch 6
2026-07-08 02:15:08,906 - INFO - [Train Regular Models] Epoch [7/25], Train Loss: 0.2713, Val Loss: 0.5588, Train Acc: 0.9810, Val Acc: 0.8054
2026-07-08 02:15:23,307 - INFO - [Train Regular Models] Epoch [8/25], Train Loss: 0.2502, Val Loss: 0.5615, Train Acc: 0.9829, Val Acc: 0.7047
2026-07-08 02:15:37,705 - INFO - [Train Regular Models] Epoch [9/25], Train Loss: 0.2361, Val Loss: 0.5816, Train Acc: 0.9848, Val Acc: 0.7114
2026-07-08 02:15:52,101 - INFO - [Train Regular Models] Epoch [10/25], Train Loss: 0.2254, Val Loss: 0.6413, Train Acc: 0.9772, Val Acc: 0.5839
2026-07-08 02:16:06,486 - INFO - [Train Regular Models] Epoch [11/25], Train Loss: 0.2263, Val Loss: 0.7806, Train Acc: 0.9829, Val Acc: 0.4765
2026-07-08 02:16:20,875 - INFO - [Train Regular Models] Epoch [12/25], Train Loss: 0.2023, Val Loss: 0.6281, Train Acc: 0.9810, Val Acc: 0.5638
2026-07-08 02:16:20,992 - INFO - [Train Regular Models] Model saved at epoch 12
2026-07-08 02:16:35,373 - INFO - [Train Regular Models] Epoch [13/25], Train Loss: 0.2004, Val Loss: 0.5495, Train Acc: 0.9810, Val Acc: 0.7919
2026-07-08 02:16:49,769 - INFO - [Train Regular Models] Epoch [14/25], Train Loss: 0.1863, Val Loss: 0.4924, Train Acc: 0.9867, Val Acc: 0.8389
2026-07-08 02:17:04,153 - INFO - [Train Regular Models] Epoch [15/25], Train Loss: 0.1892, Val Loss: 0.5714, Train Acc: 0.9772, Val Acc: 0.7114
2026-07-08 02:17:18,551 - INFO - [Train Regular Models] Epoch [16/25], Train Loss: 0.1812, Val Loss: 0.6053, Train Acc: 0.9772, Val Acc: 0.7383
2026-07-08 02:17:32,952 - INFO - [Train Regular Models] Epoch [17/25], Train Loss: 0.1661, Val Loss: 0.5767, Train Acc: 0.9772, Val Acc: 0.7315
2026-07-08 02:17:47,352 - INFO - [Train Regular Models] Epoch [18/25], Train Loss: 0.1551, Val Loss: 0.6524, Train Acc: 0.9886, Val Acc: 0.5570
2026-07-08 02:17:47,466 - INFO - [Train Regular Models] Model saved at epoch 18
2026-07-08 02:18:01,854 - INFO - [Train Regular Models] Epoch [19/25], Train Loss: 0.1572, Val Loss: 0.6584, Train Acc: 0.9810, Val Acc: 0.5570
2026-07-08 02:18:16,250 - INFO - [Train Regular Models] Epoch [20/25], Train Loss: 0.1397, Val Loss: 0.5408, Train Acc: 0.9867, Val Acc: 0.6846
2026-07-08 02:18:30,655 - INFO - [Train Regular Models] Epoch [21/25], Train Loss: 0.1253, Val Loss: 0.4883, Train Acc: 0.9829, Val Acc: 0.7919
2026-07-08 02:18:45,069 - INFO - [Train Regular Models] Epoch [22/25], Train Loss: 0.1345, Val Loss: 0.4532, Train Acc: 0.9829, Val Acc: 0.8054
2026-07-08 02:18:59,467 - INFO - [Train Regular Models] Epoch [23/25], Train Loss: 0.1168, Val Loss: 0.5998, Train Acc: 0.9867, Val Acc: 0.5906
2026-07-08 02:19:13,853 - INFO - [Train Regular Models] Epoch [24/25], Train Loss: 0.1178, Val Loss: 0.7517, Train Acc: 0.9829, Val Acc: 0.5369
2026-07-08 02:19:13,966 - INFO - [Train Regular Models] Model saved at epoch 24
2026-07-08 02:19:28,368 - INFO - [Train Regular Models] Epoch [25/25], Train Loss: 0.1227, Val Loss: 0.5642, Train Acc: 0.9791, Val Acc: 0.6644
2026-07-08 02:19:29,057 - INFO - [Train Regular Models] Run 13/30 - Test Loss: 0.4913, Test Accuracy: 0.8041
2026-07-08 02:19:29,131 - INFO - [Train Regular Models] Model saved to outputs/exp1/normal_models/model_13.pt
2026-07-08 02:19:29,411 - INFO - [Train Regular Models] Training model 14/30...
2026-07-08 02:19:43,884 - INFO - [Train Regular Models] Epoch [1/25], Train Loss: 0.5824, Val Loss: 0.6753, Train Acc: 0.7586, Val Acc: 0.4899
2026-07-08 02:19:58,263 - INFO - [Train Regular Models] Epoch [2/25], Train Loss: 0.4201, Val Loss: 0.6247, Train Acc: 0.9316, Val Acc: 0.6376
2026-07-08 02:20:12,649 - INFO - [Train Regular Models] Epoch [3/25], Train Loss: 0.3671, Val Loss: 0.6125, Train Acc: 0.9392, Val Acc: 0.5503
2026-07-08 02:20:27,019 - INFO - [Train Regular Models] Epoch [4/25], Train Loss: 0.3214, Val Loss: 0.5799, Train Acc: 0.9620, Val Acc: 0.6510
2026-07-08 02:20:41,421 - INFO - [Train Regular Models] Epoch [5/25], Train Loss: 0.3110, Val Loss: 0.7036, Train Acc: 0.9582, Val Acc: 0.4966
2026-07-08 02:20:55,817 - INFO - [Train Regular Models] Epoch [6/25], Train Loss: 0.2787, Val Loss: 0.6757, Train Acc: 0.9791, Val Acc: 0.5168
2026-07-08 02:20:55,933 - INFO - [Train Regular Models] Model saved at epoch 6
2026-07-08 02:21:10,324 - INFO - [Train Regular Models] Epoch [7/25], Train Loss: 0.2543, Val Loss: 0.7379, Train Acc: 0.9810, Val Acc: 0.4698
2026-07-08 02:21:24,717 - INFO - [Train Regular Models] Epoch [8/25], Train Loss: 0.2481, Val Loss: 0.6095, Train Acc: 0.9772, Val Acc: 0.5906
2026-07-08 02:21:39,104 - INFO - [Train Regular Models] Epoch [9/25], Train Loss: 0.2215, Val Loss: 0.6555, Train Acc: 0.9810, Val Acc: 0.5570
2026-07-08 02:21:53,500 - INFO - [Train Regular Models] Epoch [10/25], Train Loss: 0.2087, Val Loss: 0.6492, Train Acc: 0.9829, Val Acc: 0.5705
2026-07-08 02:22:07,888 - INFO - [Train Regular Models] Epoch [11/25], Train Loss: 0.1864, Val Loss: 0.6208, Train Acc: 0.9848, Val Acc: 0.6309
2026-07-08 02:22:22,284 - INFO - [Train Regular Models] Epoch [12/25], Train Loss: 0.1882, Val Loss: 0.5751, Train Acc: 0.9715, Val Acc: 0.6510
2026-07-08 02:22:22,400 - INFO - [Train Regular Models] Model saved at epoch 12
2026-07-08 02:22:36,801 - INFO - [Train Regular Models] Epoch [13/25], Train Loss: 0.1818, Val Loss: 0.5825, Train Acc: 0.9810, Val Acc: 0.6510
2026-07-08 02:22:51,205 - INFO - [Train Regular Models] Epoch [14/25], Train Loss: 0.1799, Val Loss: 0.6354, Train Acc: 0.9772, Val Acc: 0.6242
2026-07-08 02:23:05,609 - INFO - [Train Regular Models] Epoch [15/25], Train Loss: 0.1668, Val Loss: 0.5989, Train Acc: 0.9734, Val Acc: 0.7517
2026-07-08 02:23:20,005 - INFO - [Train Regular Models] Epoch [16/25], Train Loss: 0.1723, Val Loss: 0.5868, Train Acc: 0.9810, Val Acc: 0.6242
2026-07-08 02:23:34,498 - INFO - [Train Regular Models] Epoch [17/25], Train Loss: 0.1485, Val Loss: 0.7134, Train Acc: 0.9829, Val Acc: 0.5436
2026-07-08 02:23:48,917 - INFO - [Train Regular Models] Epoch [18/25], Train Loss: 0.1461, Val Loss: 0.4996, Train Acc: 0.9753, Val Acc: 0.8255
2026-07-08 02:23:49,033 - INFO - [Train Regular Models] Model saved at epoch 18
2026-07-08 02:24:03,438 - INFO - [Train Regular Models] Epoch [19/25], Train Loss: 0.1299, Val Loss: 0.6209, Train Acc: 0.9886, Val Acc: 0.5839
2026-07-08 02:24:17,824 - INFO - [Train Regular Models] Epoch [20/25], Train Loss: 0.1235, Val Loss: 0.4278, Train Acc: 0.9791, Val Acc: 0.8591
2026-07-08 02:24:32,218 - INFO - [Train Regular Models] Epoch [21/25], Train Loss: 0.1159, Val Loss: 0.4588, Train Acc: 0.9848, Val Acc: 0.8322
2026-07-08 02:24:46,611 - INFO - [Train Regular Models] Epoch [22/25], Train Loss: 0.1062, Val Loss: 0.4767, Train Acc: 0.9810, Val Acc: 0.8255
2026-07-08 02:25:01,002 - INFO - [Train Regular Models] Epoch [23/25], Train Loss: 0.0997, Val Loss: 0.5401, Train Acc: 0.9886, Val Acc: 0.6510
2026-07-08 02:25:15,411 - INFO - [Train Regular Models] Epoch [24/25], Train Loss: 0.1179, Val Loss: 0.5590, Train Acc: 0.9791, Val Acc: 0.6443
2026-07-08 02:25:15,524 - INFO - [Train Regular Models] Model saved at epoch 24
2026-07-08 02:25:29,908 - INFO - [Train Regular Models] Epoch [25/25], Train Loss: 0.0982, Val Loss: 0.5710, Train Acc: 0.9848, Val Acc: 0.6779
2026-07-08 02:25:30,591 - INFO - [Train Regular Models] Run 14/30 - Test Loss: 0.5050, Test Accuracy: 0.8041
2026-07-08 02:25:30,665 - INFO - [Train Regular Models] Model saved to outputs/exp1/normal_models/model_14.pt
2026-07-08 02:25:30,947 - INFO - [Train Regular Models] Training model 15/30...
2026-07-08 02:25:45,417 - INFO - [Train Regular Models] Epoch [1/25], Train Loss: 0.5497, Val Loss: 0.6083, Train Acc: 0.7605, Val Acc: 0.7651
2026-07-08 02:25:59,801 - INFO - [Train Regular Models] Epoch [2/25], Train Loss: 0.4380, Val Loss: 0.8154, Train Acc: 0.9392, Val Acc: 0.4765
2026-07-08 02:26:14,187 - INFO - [Train Regular Models] Epoch [3/25], Train Loss: 0.4021, Val Loss: 0.6158, Train Acc: 0.9449, Val Acc: 0.5839
2026-07-08 02:26:28,595 - INFO - [Train Regular Models] Epoch [4/25], Train Loss: 0.3787, Val Loss: 0.6743, Train Acc: 0.9582, Val Acc: 0.5101
2026-07-08 02:26:42,982 - INFO - [Train Regular Models] Epoch [5/25], Train Loss: 0.3443, Val Loss: 0.7306, Train Acc: 0.9696, Val Acc: 0.5235
2026-07-08 02:26:57,372 - INFO - [Train Regular Models] Epoch [6/25], Train Loss: 0.3150, Val Loss: 0.5589, Train Acc: 0.9791, Val Acc: 0.6980
2026-07-08 02:26:57,491 - INFO - [Train Regular Models] Model saved at epoch 6
2026-07-08 02:27:11,874 - INFO - [Train Regular Models] Epoch [7/25], Train Loss: 0.3035, Val Loss: 0.6195, Train Acc: 0.9677, Val Acc: 0.6443
2026-07-08 02:27:26,254 - INFO - [Train Regular Models] Epoch [8/25], Train Loss: 0.2753, Val Loss: 0.5477, Train Acc: 0.9810, Val Acc: 0.6711
2026-07-08 02:27:40,649 - INFO - [Train Regular Models] Epoch [9/25], Train Loss: 0.2682, Val Loss: 0.5580, Train Acc: 0.9715, Val Acc: 0.6443
2026-07-08 02:27:55,035 - INFO - [Train Regular Models] Epoch [10/25], Train Loss: 0.2444, Val Loss: 0.5734, Train Acc: 0.9791, Val Acc: 0.6443
2026-07-08 02:28:09,435 - INFO - [Train Regular Models] Epoch [11/25], Train Loss: 0.2453, Val Loss: 0.5610, Train Acc: 0.9639, Val Acc: 0.7919
2026-07-08 02:28:23,831 - INFO - [Train Regular Models] Epoch [12/25], Train Loss: 0.2206, Val Loss: 0.5219, Train Acc: 0.9867, Val Acc: 0.6577
2026-07-08 02:28:23,948 - INFO - [Train Regular Models] Model saved at epoch 12
2026-07-08 02:28:38,333 - INFO - [Train Regular Models] Epoch [13/25], Train Loss: 0.2058, Val Loss: 1.0627, Train Acc: 0.9772, Val Acc: 0.4966
2026-07-08 02:28:52,701 - INFO - [Train Regular Models] Epoch [14/25], Train Loss: 0.2075, Val Loss: 0.5383, Train Acc: 0.9829, Val Acc: 0.7114
2026-07-08 02:29:07,092 - INFO - [Train Regular Models] Epoch [15/25], Train Loss: 0.2074, Val Loss: 0.6968, Train Acc: 0.9715, Val Acc: 0.5436
2026-07-08 02:29:21,469 - INFO - [Train Regular Models] Epoch [16/25], Train Loss: 0.2040, Val Loss: 0.5975, Train Acc: 0.9658, Val Acc: 0.6644
2026-07-08 02:29:35,851 - INFO - [Train Regular Models] Epoch [17/25], Train Loss: 0.1877, Val Loss: 0.6027, Train Acc: 0.9753, Val Acc: 0.7047
2026-07-08 02:29:50,253 - INFO - [Train Regular Models] Epoch [18/25], Train Loss: 0.1837, Val Loss: 0.9260, Train Acc: 0.9753, Val Acc: 0.4966
2026-07-08 02:29:50,367 - INFO - [Train Regular Models] Model saved at epoch 18
2026-07-08 02:30:04,754 - INFO - [Train Regular Models] Epoch [19/25], Train Loss: 0.1562, Val Loss: 0.7276, Train Acc: 0.9810, Val Acc: 0.5369
2026-07-08 02:30:19,157 - INFO - [Train Regular Models] Epoch [20/25], Train Loss: 0.1532, Val Loss: 0.4938, Train Acc: 0.9810, Val Acc: 0.8389
2026-07-08 02:30:33,542 - INFO - [Train Regular Models] Epoch [21/25], Train Loss: 0.1471, Val Loss: 0.7677, Train Acc: 0.9810, Val Acc: 0.5436
2026-07-08 02:30:47,928 - INFO - [Train Regular Models] Epoch [22/25], Train Loss: 0.1459, Val Loss: 0.5852, Train Acc: 0.9772, Val Acc: 0.6040
2026-07-08 02:31:02,311 - INFO - [Train Regular Models] Epoch [23/25], Train Loss: 0.1180, Val Loss: 0.5635, Train Acc: 0.9810, Val Acc: 0.6376
2026-07-08 02:31:16,700 - INFO - [Train Regular Models] Epoch [24/25], Train Loss: 0.1194, Val Loss: 0.5958, Train Acc: 0.9848, Val Acc: 0.5906
2026-07-08 02:31:16,814 - INFO - [Train Regular Models] Model saved at epoch 24
2026-07-08 02:31:31,203 - INFO - [Train Regular Models] Epoch [25/25], Train Loss: 0.1238, Val Loss: 0.5518, Train Acc: 0.9829, Val Acc: 0.6309
2026-07-08 02:31:31,890 - INFO - [Train Regular Models] Run 15/30 - Test Loss: 0.4224, Test Accuracy: 0.7526
2026-07-08 02:31:31,963 - INFO - [Train Regular Models] Model saved to outputs/exp1/normal_models/model_15.pt
2026-07-08 02:31:32,246 - INFO - [Train Regular Models] Training model 16/30...
2026-07-08 02:31:46,711 - INFO - [Train Regular Models] Epoch [1/25], Train Loss: 0.5793, Val Loss: 0.6642, Train Acc: 0.7890, Val Acc: 0.4899
2026-07-08 02:32:01,104 - INFO - [Train Regular Models] Epoch [2/25], Train Loss: 0.4929, Val Loss: 0.6100, Train Acc: 0.9144, Val Acc: 0.7718
2026-07-08 02:32:15,501 - INFO - [Train Regular Models] Epoch [3/25], Train Loss: 0.4490, Val Loss: 0.5795, Train Acc: 0.9563, Val Acc: 0.7718
2026-07-08 02:32:29,889 - INFO - [Train Regular Models] Epoch [4/25], Train Loss: 0.4169, Val Loss: 0.5714, Train Acc: 0.9620, Val Acc: 0.8456
2026-07-08 02:32:44,289 - INFO - [Train Regular Models] Epoch [5/25], Train Loss: 0.3938, Val Loss: 0.5628, Train Acc: 0.9639, Val Acc: 0.7248
2026-07-08 02:32:58,670 - INFO - [Train Regular Models] Epoch [6/25], Train Loss: 0.3682, Val Loss: 0.5880, Train Acc: 0.9829, Val Acc: 0.6913
2026-07-08 02:32:58,787 - INFO - [Train Regular Models] Model saved at epoch 6
2026-07-08 02:33:13,196 - INFO - [Train Regular Models] Epoch [7/25], Train Loss: 0.3465, Val Loss: 0.5732, Train Acc: 0.9829, Val Acc: 0.7114
2026-07-08 02:33:27,582 - INFO - [Train Regular Models] Epoch [8/25], Train Loss: 0.3454, Val Loss: 0.6779, Train Acc: 0.9677, Val Acc: 0.6040
2026-07-08 02:33:41,986 - INFO - [Train Regular Models] Epoch [9/25], Train Loss: 0.3157, Val Loss: 0.5785, Train Acc: 0.9829, Val Acc: 0.7785
2026-07-08 02:33:56,386 - INFO - [Train Regular Models] Epoch [10/25], Train Loss: 0.3129, Val Loss: 0.7158, Train Acc: 0.9772, Val Acc: 0.5302
2026-07-08 02:34:10,778 - INFO - [Train Regular Models] Epoch [11/25], Train Loss: 0.3033, Val Loss: 0.6190, Train Acc: 0.9810, Val Acc: 0.6242
2026-07-08 02:34:25,170 - INFO - [Train Regular Models] Epoch [12/25], Train Loss: 0.2732, Val Loss: 0.6267, Train Acc: 0.9734, Val Acc: 0.6107
2026-07-08 02:34:25,291 - INFO - [Train Regular Models] Model saved at epoch 12
2026-07-08 02:34:39,692 - INFO - [Train Regular Models] Epoch [13/25], Train Loss: 0.2628, Val Loss: 0.6787, Train Acc: 0.9772, Val Acc: 0.5638
2026-07-08 02:34:54,084 - INFO - [Train Regular Models] Epoch [14/25], Train Loss: 0.2475, Val Loss: 0.6554, Train Acc: 0.9829, Val Acc: 0.5772
2026-07-08 02:35:08,484 - INFO - [Train Regular Models] Epoch [15/25], Train Loss: 0.2280, Val Loss: 0.5506, Train Acc: 0.9810, Val Acc: 0.6779
2026-07-08 02:35:22,891 - INFO - [Train Regular Models] Epoch [16/25], Train Loss: 0.2239, Val Loss: 0.5756, Train Acc: 0.9791, Val Acc: 0.6779
2026-07-08 02:35:37,280 - INFO - [Train Regular Models] Epoch [17/25], Train Loss: 0.2134, Val Loss: 0.6482, Train Acc: 0.9848, Val Acc: 0.5839
2026-07-08 02:35:51,671 - INFO - [Train Regular Models] Epoch [18/25], Train Loss: 0.1995, Val Loss: 0.5583, Train Acc: 0.9772, Val Acc: 0.7315
2026-07-08 02:35:51,790 - INFO - [Train Regular Models] Model saved at epoch 18
2026-07-08 02:36:06,178 - INFO - [Train Regular Models] Epoch [19/25], Train Loss: 0.2016, Val Loss: 0.5753, Train Acc: 0.9772, Val Acc: 0.6174
2026-07-08 02:36:20,583 - INFO - [Train Regular Models] Epoch [20/25], Train Loss: 0.1858, Val Loss: 0.5790, Train Acc: 0.9753, Val Acc: 0.7114
2026-07-08 02:36:34,976 - INFO - [Train Regular Models] Epoch [21/25], Train Loss: 0.1644, Val Loss: 0.5443, Train Acc: 0.9848, Val Acc: 0.7517
2026-07-08 02:36:49,368 - INFO - [Train Regular Models] Epoch [22/25], Train Loss: 0.1609, Val Loss: 0.8919, Train Acc: 0.9810, Val Acc: 0.5369
2026-07-08 02:37:03,773 - INFO - [Train Regular Models] Epoch [23/25], Train Loss: 0.1586, Val Loss: 0.5831, Train Acc: 0.9829, Val Acc: 0.7517
2026-07-08 02:37:18,169 - INFO - [Train Regular Models] Epoch [24/25], Train Loss: 0.1719, Val Loss: 0.6139, Train Acc: 0.9772, Val Acc: 0.6107
2026-07-08 02:37:18,286 - INFO - [Train Regular Models] Model saved at epoch 24
2026-07-08 02:37:32,684 - INFO - [Train Regular Models] Epoch [25/25], Train Loss: 0.1457, Val Loss: 0.6443, Train Acc: 0.9848, Val Acc: 0.6376
2026-07-08 02:37:33,385 - INFO - [Train Regular Models] Run 16/30 - Test Loss: 0.5474, Test Accuracy: 0.8144
2026-07-08 02:37:33,459 - INFO - [Train Regular Models] Model saved to outputs/exp1/normal_models/model_16.pt
2026-07-08 02:37:33,741 - INFO - [Train Regular Models] Training model 17/30...
2026-07-08 02:37:48,208 - INFO - [Train Regular Models] Epoch [1/25], Train Loss: 0.5526, Val Loss: 0.7408, Train Acc: 0.7243, Val Acc: 0.4631
2026-07-08 02:38:02,589 - INFO - [Train Regular Models] Epoch [2/25], Train Loss: 0.4890, Val Loss: 0.6944, Train Acc: 0.7947, Val Acc: 0.5034
2026-07-08 02:38:16,985 - INFO - [Train Regular Models] Epoch [3/25], Train Loss: 0.4453, Val Loss: 0.6712, Train Acc: 0.8593, Val Acc: 0.5570
2026-07-08 02:38:31,384 - INFO - [Train Regular Models] Epoch [4/25], Train Loss: 0.4263, Val Loss: 0.7043, Train Acc: 0.8802, Val Acc: 0.5436
2026-07-08 02:38:45,757 - INFO - [Train Regular Models] Epoch [5/25], Train Loss: 0.4018, Val Loss: 0.7160, Train Acc: 0.9259, Val Acc: 0.5369
2026-07-08 02:39:00,141 - INFO - [Train Regular Models] Epoch [6/25], Train Loss: 0.3768, Val Loss: 0.7263, Train Acc: 0.9468, Val Acc: 0.5235
2026-07-08 02:39:00,262 - INFO - [Train Regular Models] Model saved at epoch 6
2026-07-08 02:39:14,652 - INFO - [Train Regular Models] Epoch [7/25], Train Loss: 0.3657, Val Loss: 0.6476, Train Acc: 0.9544, Val Acc: 0.6443
2026-07-08 02:39:29,041 - INFO - [Train Regular Models] Epoch [8/25], Train Loss: 0.3527, Val Loss: 0.6929, Train Acc: 0.9639, Val Acc: 0.5503
2026-07-08 02:39:43,407 - INFO - [Train Regular Models] Epoch [9/25], Train Loss: 0.3287, Val Loss: 0.6200, Train Acc: 0.9772, Val Acc: 0.6174
2026-07-08 02:39:57,800 - INFO - [Train Regular Models] Epoch [10/25], Train Loss: 0.3184, Val Loss: 0.6237, Train Acc: 0.9772, Val Acc: 0.5705
2026-07-08 02:40:12,186 - INFO - [Train Regular Models] Epoch [11/25], Train Loss: 0.2984, Val Loss: 0.6274, Train Acc: 0.9791, Val Acc: 0.5906
2026-07-08 02:40:26,582 - INFO - [Train Regular Models] Epoch [12/25], Train Loss: 0.2736, Val Loss: 0.5997, Train Acc: 0.9867, Val Acc: 0.6040
2026-07-08 02:40:26,709 - INFO - [Train Regular Models] Model saved at epoch 12
2026-07-08 02:40:41,101 - INFO - [Train Regular Models] Epoch [13/25], Train Loss: 0.2771, Val Loss: 0.9275, Train Acc: 0.9772, Val Acc: 0.5034
2026-07-08 02:40:55,485 - INFO - [Train Regular Models] Epoch [14/25], Train Loss: 0.2693, Val Loss: 0.6550, Train Acc: 0.9791, Val Acc: 0.5705
2026-07-08 02:41:09,889 - INFO - [Train Regular Models] Epoch [15/25], Train Loss: 0.2401, Val Loss: 0.5919, Train Acc: 0.9829, Val Acc: 0.6174
2026-07-08 02:41:24,286 - INFO - [Train Regular Models] Epoch [16/25], Train Loss: 0.2297, Val Loss: 0.5206, Train Acc: 0.9772, Val Acc: 0.8322
2026-07-08 02:41:38,683 - INFO - [Train Regular Models] Epoch [17/25], Train Loss: 0.2200, Val Loss: 0.6000, Train Acc: 0.9848, Val Acc: 0.5973
2026-07-08 02:41:53,056 - INFO - [Train Regular Models] Epoch [18/25], Train Loss: 0.2094, Val Loss: 0.6548, Train Acc: 0.9829, Val Acc: 0.5705
2026-07-08 02:41:53,176 - INFO - [Train Regular Models] Model saved at epoch 18
2026-07-08 02:42:07,573 - INFO - [Train Regular Models] Epoch [19/25], Train Loss: 0.2113, Val Loss: 0.4974, Train Acc: 0.9696, Val Acc: 0.8054
2026-07-08 02:42:21,975 - INFO - [Train Regular Models] Epoch [20/25], Train Loss: 0.1932, Val Loss: 0.6701, Train Acc: 0.9867, Val Acc: 0.5705
2026-07-08 02:42:36,356 - INFO - [Train Regular Models] Epoch [21/25], Train Loss: 0.1937, Val Loss: 0.6473, Train Acc: 0.9791, Val Acc: 0.5772
2026-07-08 02:42:50,741 - INFO - [Train Regular Models] Epoch [22/25], Train Loss: 0.1737, Val Loss: 0.6145, Train Acc: 0.9867, Val Acc: 0.5772
2026-07-08 02:43:05,117 - INFO - [Train Regular Models] Epoch [23/25], Train Loss: 0.1573, Val Loss: 0.5361, Train Acc: 0.9810, Val Acc: 0.7517
2026-07-08 02:43:19,512 - INFO - [Train Regular Models] Epoch [24/25], Train Loss: 0.1608, Val Loss: 0.4893, Train Acc: 0.9791, Val Acc: 0.8054
2026-07-08 02:43:19,625 - INFO - [Train Regular Models] Model saved at epoch 24
2026-07-08 02:43:34,006 - INFO - [Train Regular Models] Epoch [25/25], Train Loss: 0.1539, Val Loss: 0.5199, Train Acc: 0.9791, Val Acc: 0.7919
2026-07-08 02:43:34,287 - ERROR - Pipeline failed: CUDA out of memory. Tried to allocate 46.00 MiB. GPU 0 has a total capacity of 11.63 GiB of which 18.62 MiB is free. Including non-PyTorch memory, this process has 9.81 GiB memory in use. Of the allocated memory 9.27 GiB is allocated by PyTorch, and 230.47 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://docs.pytorch.org/docs/stable/notes/cuda.html#optimizing-memory-usage-with-pytorch-cuda-alloc-conf)
Traceback (most recent call last):
  File "/home/nschense/Documents/Medphys_Research/alnn_rewrite/main.py", line 256, in run_background_pipeline
    task_func(task_tracker, task_logger, config, pipeline_state)
    ~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/nschense/Documents/Medphys_Research/alnn_rewrite/tasks/train_normal.py", line 105, in train_normal_task
    test_loss, test_acc = tn.test_model(
                          ~~~~~~~~~~~~~^
        model=model,
        ^^^^^^^^^^^^
    ...<5 lines>...
        pause_event=pause_event,
        ^^^^^^^^^^^^^^^^^^^^^^^^
    )
    ^
  File "/home/nschense/Documents/Medphys_Research/alnn_rewrite/model/training.py", line 108, in test_model
    outputs = model((mri, xls))
  File "/home/nschense/Documents/Medphys_Research/alnn_rewrite/.venv/lib64/python3.14/site-packages/torch/nn/modules/module.py", line 1778, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
           ~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "/home/nschense/Documents/Medphys_Research/alnn_rewrite/.venv/lib64/python3.14/site-packages/torch/nn/modules/module.py", line 1789, in _call_impl
    return forward_call(*args, **kwargs)
  File "/home/nschense/Documents/Medphys_Research/alnn_rewrite/model/cnn.py", line 66, in forward
    image_out = self.image_section(image_data)
  File "/home/nschense/Documents/Medphys_Research/alnn_rewrite/.venv/lib64/python3.14/site-packages/torch/nn/modules/module.py", line 1778, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
           ~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "/home/nschense/Documents/Medphys_Research/alnn_rewrite/.venv/lib64/python3.14/site-packages/torch/nn/modules/module.py", line 1789, in _call_impl
    return forward_call(*args, **kwargs)
  File "/home/nschense/Documents/Medphys_Research/alnn_rewrite/model/cnn.py", line 37, in forward
    x = self.splitcnv(x)
  File "/home/nschense/Documents/Medphys_Research/alnn_rewrite/.venv/lib64/python3.14/site-packages/torch/nn/modules/module.py", line 1778, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
           ~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "/home/nschense/Documents/Medphys_Research/alnn_rewrite/.venv/lib64/python3.14/site-packages/torch/nn/modules/module.py", line 1789, in _call_impl
    return forward_call(*args, **kwargs)
  File "/home/nschense/Documents/Medphys_Research/alnn_rewrite/model/layers.py", line 68, in forward
    right = self.rightblock(right)
  File "/home/nschense/Documents/Medphys_Research/alnn_rewrite/.venv/lib64/python3.14/site-packages/torch/nn/modules/module.py", line 1778, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
           ~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "/home/nschense/Documents/Medphys_Research/alnn_rewrite/.venv/lib64/python3.14/site-packages/torch/nn/modules/module.py", line 1789, in _call_impl
    return forward_call(*args, **kwargs)
  File "/home/nschense/Documents/Medphys_Research/alnn_rewrite/.venv/lib64/python3.14/site-packages/torch/nn/modules/container.py", line 253, in forward
    input = module(input)
  File "/home/nschense/Documents/Medphys_Research/alnn_rewrite/.venv/lib64/python3.14/site-packages/torch/nn/modules/module.py", line 1778, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
           ~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "/home/nschense/Documents/Medphys_Research/alnn_rewrite/.venv/lib64/python3.14/site-packages/torch/nn/modules/module.py", line 1789, in _call_impl
    return forward_call(*args, **kwargs)
  File "/home/nschense/Documents/Medphys_Research/alnn_rewrite/model/layers.py", line 169, in forward
    x = self.cnv(x)
  File "/home/nschense/Documents/Medphys_Research/alnn_rewrite/.venv/lib64/python3.14/site-packages/torch/nn/modules/module.py", line 1778, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
           ~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "/home/nschense/Documents/Medphys_Research/alnn_rewrite/.venv/lib64/python3.14/site-packages/torch/nn/modules/module.py", line 1789, in _call_impl
    return forward_call(*args, **kwargs)
  File "/home/nschense/Documents/Medphys_Research/alnn_rewrite/model/layers.py", line 30, in forward
    x = self.depthwise(x)
  File "/home/nschense/Documents/Medphys_Research/alnn_rewrite/.venv/lib64/python3.14/site-packages/torch/nn/modules/module.py", line 1778, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
           ~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
  File "/home/nschense/Documents/Medphys_Research/alnn_rewrite/.venv/lib64/python3.14/site-packages/torch/nn/modules/module.py", line 1789, in _call_impl
    return forward_call(*args, **kwargs)
  File "/home/nschense/Documents/Medphys_Research/alnn_rewrite/.venv/lib64/python3.14/site-packages/torch/nn/modules/conv.py", line 735, in forward
    return self._conv_forward(input, self.weight, self.bias)
           ~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/nschense/Documents/Medphys_Research/alnn_rewrite/.venv/lib64/python3.14/site-packages/torch/nn/modules/conv.py", line 730, in _conv_forward
    return F.conv3d(
           ~~~~~~~~^
        input, weight, bias, self.stride, self.padding, self.dilation, self.groups
        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
    )
    ^
torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 46.00 MiB. GPU 0 has a total capacity of 11.63 GiB of which 18.62 MiB is free. Including non-PyTorch memory, this process has 9.81 GiB memory in use. Of the allocated memory 9.27 GiB is allocated by PyTorch, and 230.47 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://docs.pytorch.org/docs/stable/notes/cuda.html#optimizing-memory-usage-with-pytorch-cuda-alloc-conf)
2026-07-08 02:43:34,289 - ERROR - [SYSTEM] ERROR: CUDA out of memory. Tried to allocate 46.00 MiB. GPU 0 has a total capacity of 11.63 GiB of which 18.62 MiB is free. Including non-PyTorch memory, this process has 9.81 GiB memory in use. Of the allocated memory 9.27 GiB is allocated by PyTorch, and 230.47 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://docs.pytorch.org/docs/stable/notes/cuda.html#optimizing-memory-usage-with-pytorch-cuda-alloc-conf)
2026-07-11 16:10:23,042 - INFO - [SYSTEM] Application initialized and ready.
2026-07-11 16:10:42,578 - INFO - [SYSTEM] Successfully loaded config from ./outputs/smoke_test/config.toml
2026-07-11 16:10:47,462 - INFO - [SYSTEM] Initiating Scenario: 1. Train, Evaluate, & Noise Analysis
2026-07-11 16:10:47,475 - INFO - [SYSTEM] Starting Task 1/7: Load Image and ADNIMERGE
2026-07-11 16:10:47,537 - INFO - [Load Image and ADNIMERGE] Seeded RNGs with base seed 42
2026-07-11 16:10:47,537 - INFO - [Load Image and ADNIMERGE] Loading Files
2026-07-11 16:10:50,582 - INFO - [Load Image and ADNIMERGE] Dataloaders initalized
2026-07-11 16:10:50,583 - INFO - [Load Image and ADNIMERGE] Task completed.
2026-07-11 16:10:50,588 - INFO - [SYSTEM] Starting Task 2/7: Train Regular Models
2026-07-11 16:10:50,589 - INFO - [Train Regular Models] Starting normal model training...
2026-07-11 16:10:50,589 - INFO - [Train Regular Models] Intermediate models will be saved to outputs/smoke_test/normal_models/intermediate_models
2026-07-11 16:10:50,591 - INFO - [Train Regular Models] Training model 1/2 (seed 42)...
2026-07-11 16:10:50,707 - ERROR - Pipeline failed: CUDA error: out of memory
Search for `cudaErrorMemoryAllocation' in https://docs.nvidia.com/cuda/cuda-runtime-api/group__CUDART__TYPES.html for more information.
CUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.
For debugging consider passing CUDA_LAUNCH_BLOCKING=1
Compile with `TORCH_USE_CUDA_DSA` to enable device-side assertions.
Traceback (most recent call last):
  File "/home/nschense/Documents/Medphys_Research/alnn_rewrite/main.py", line 256, in run_background_pipeline
    task_func(task_tracker, task_logger, config, pipeline_state)
    ~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/nschense/Documents/Medphys_Research/alnn_rewrite/tasks/train_normal.py", line 69, in train_normal_task
    .to(config["training"]["device"])
     ~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/nschense/Documents/Medphys_Research/alnn_rewrite/.venv/lib64/python3.14/site-packages/torch/nn/modules/module.py", line 1383, in to
    return self._apply(convert)
           ~~~~~~~~~~~^^^^^^^^^
  File "/home/nschense/Documents/Medphys_Research/alnn_rewrite/.venv/lib64/python3.14/site-packages/torch/nn/modules/module.py", line 933, in _apply
    module._apply(fn)
    ~~~~~~~~~~~~~^^^^
  File "/home/nschense/Documents/Medphys_Research/alnn_rewrite/.venv/lib64/python3.14/site-packages/torch/nn/modules/module.py", line 933, in _apply
    module._apply(fn)
    ~~~~~~~~~~~~~^^^^
  File "/home/nschense/Documents/Medphys_Research/alnn_rewrite/.venv/lib64/python3.14/site-packages/torch/nn/modules/module.py", line 933, in _apply
    module._apply(fn)
    ~~~~~~~~~~~~~^^^^
  File "/home/nschense/Documents/Medphys_Research/alnn_rewrite/.venv/lib64/python3.14/site-packages/torch/nn/modules/module.py", line 964, in _apply
    param_applied = fn(param)
  File "/home/nschense/Documents/Medphys_Research/alnn_rewrite/.venv/lib64/python3.14/site-packages/torch/nn/modules/module.py", line 1369, in convert
    return t.to(
           ~~~~^
        device,
        ^^^^^^^
        dtype if t.is_floating_point() or t.is_complex() else None,
        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
        non_blocking,
        ^^^^^^^^^^^^^
    )
    ^
torch.AcceleratorError: CUDA error: out of memory
Search for `cudaErrorMemoryAllocation' in https://docs.nvidia.com/cuda/cuda-runtime-api/group__CUDART__TYPES.html for more information.
CUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.
For debugging consider passing CUDA_LAUNCH_BLOCKING=1
Compile with `TORCH_USE_CUDA_DSA` to enable device-side assertions.

2026-07-11 16:10:50,708 - ERROR - [SYSTEM] ERROR: CUDA error: out of memory
Search for `cudaErrorMemoryAllocation' in https://docs.nvidia.com/cuda/cuda-runtime-api/group__CUDART__TYPES.html for more information.
CUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.
For debugging consider passing CUDA_LAUNCH_BLOCKING=1
Compile with `TORCH_USE_CUDA_DSA` to enable device-side assertions.

2026-07-11 16:11:24,320 - INFO - [SYSTEM] Application initialized and ready.
2026-07-11 16:11:31,933 - INFO - [SYSTEM] Successfully loaded config from ./outputs/smoke_test/config.toml
2026-07-11 16:11:35,148 - ERROR - [SYSTEM] Pipeline start cancelled by user (folder non-empty).
2026-07-11 16:11:36,810 - INFO - [SYSTEM] Initiating Scenario: 1. Train, Evaluate, & Noise Analysis
2026-07-11 16:11:36,884 - INFO - [SYSTEM] Starting Task 1/7: Load Image and ADNIMERGE
2026-07-11 16:11:37,024 - INFO - [Load Image and ADNIMERGE] Seeded RNGs with base seed 42
2026-07-11 16:11:37,025 - INFO - [Load Image and ADNIMERGE] Loading Files
2026-07-11 16:11:39,785 - INFO - [Load Image and ADNIMERGE] Dataloaders initalized
2026-07-11 16:11:39,790 - INFO - [Load Image and ADNIMERGE] Task completed.
2026-07-11 16:11:39,792 - INFO - [SYSTEM] Starting Task 2/7: Train Regular Models
2026-07-11 16:11:39,792 - INFO - [Train Regular Models] Starting normal model training...
2026-07-11 16:11:39,793 - INFO - [Train Regular Models] Intermediate models will be saved to outputs/smoke_test/normal_models/intermediate_models
2026-07-11 16:11:39,794 - INFO - [Train Regular Models] Training model 1/2 (seed 42)...
2026-07-11 16:11:59,522 - INFO - [Train Regular Models] Epoch [1/2], Train Loss: 0.6027, Val Loss: 0.8945, Train Acc: 0.7148, Val Acc: 0.4631
2026-07-11 16:12:18,382 - INFO - [Train Regular Models] Epoch [2/2], Train Loss: 0.4385, Val Loss: 0.7093, Train Acc: 0.8789, Val Acc: 0.4631
2026-07-11 16:12:19,329 - INFO - [Train Regular Models] Run 1/2 - Test Loss: 0.5973, Test Accuracy: 0.6186
2026-07-11 16:12:19,438 - INFO - [Train Regular Models] Model saved to outputs/smoke_test/normal_models/model_1.pt
2026-07-11 16:12:19,702 - INFO - [Train Regular Models] Training model 2/2 (seed 43)...
2026-07-11 16:12:38,788 - INFO - [Train Regular Models] Epoch [1/2], Train Loss: 0.5885, Val Loss: 0.6033, Train Acc: 0.6680, Val Acc: 0.7248
2026-07-11 16:12:57,798 - INFO - [Train Regular Models] Epoch [2/2], Train Loss: 0.4938, Val Loss: 0.6131, Train Acc: 0.8125, Val Acc: 0.5638
2026-07-11 16:12:58,748 - INFO - [Train Regular Models] Run 2/2 - Test Loss: 0.6300, Test Accuracy: 0.5258
2026-07-11 16:12:58,850 - INFO - [Train Regular Models] Model saved to outputs/smoke_test/normal_models/model_2.pt
2026-07-11 16:12:59,108 - INFO - [Train Regular Models] All models trained and saved successfully.
2026-07-11 16:12:59,109 - INFO - [Train Regular Models] Task completed.
2026-07-11 16:12:59,110 - INFO - [SYSTEM] Starting Task 3/7: Train Bayesian Models
2026-07-11 16:12:59,110 - INFO - [Train Bayesian Models] Starting bayesian model training...
2026-07-11 16:12:59,111 - INFO - [Train Bayesian Models] Intermediate models will be saved to outputs/smoke_test/bayesian_models/intermediate_models
2026-07-11 16:12:59,119 - INFO - [Train Bayesian Models] Training model 1/2 (seed 100042)...
2026-07-11 16:13:18,827 - INFO - [Train Bayesian Models] Epoch [1/2], Train Loss: 2.5980, Val Loss: 2.7451, Train Acc: 0.5020, Val Acc: 0.5570
2026-07-11 16:13:38,225 - INFO - [Train Bayesian Models] Epoch [2/2], Train Loss: 2.5901, Val Loss: 2.7986, Train Acc: 0.5508, Val Acc: 0.4631
2026-07-11 16:13:39,209 - INFO - [Train Bayesian Models] Run 1/2 - Test Loss: 3.2218, Test Accuracy: 0.5464
2026-07-11 16:13:39,452 - INFO - [Train Bayesian Models] Model saved to outputs/smoke_test/bayesian_models/model_1.pt
2026-07-11 16:13:39,745 - INFO - [Train Bayesian Models] Training model 2/2 (seed 100043)...
2026-07-11 16:13:59,449 - INFO - [Train Bayesian Models] Epoch [1/2], Train Loss: 2.5860, Val Loss: 2.7803, Train Acc: 0.5195, Val Acc: 0.5839
2026-07-11 16:14:18,917 - INFO - [Train Bayesian Models] Epoch [2/2], Train Loss: 2.5684, Val Loss: 2.8111, Train Acc: 0.5781, Val Acc: 0.5101
2026-07-11 16:14:19,896 - INFO - [Train Bayesian Models] Run 2/2 - Test Loss: 3.2406, Test Accuracy: 0.4227
2026-07-11 16:14:20,040 - INFO - [Train Bayesian Models] Model saved to outputs/smoke_test/bayesian_models/model_2.pt
2026-07-11 16:14:20,341 - INFO - [Train Bayesian Models] All Bayesian models trained and saved successfully.
2026-07-11 16:14:20,342 - INFO - [Train Bayesian Models] Task completed.
2026-07-11 16:14:20,344 - INFO - [SYSTEM] Starting Task 4/7: Load Saved Models
2026-07-11 16:14:20,345 - INFO - [Load Saved Models] Found 2 normal model(s) in normal_models/.
2026-07-11 16:14:20,346 - INFO - [Load Saved Models] Found 2 bayesian model(s) in bayesian_models/.
2026-07-11 16:14:20,346 - INFO - [Load Saved Models] Task completed.
2026-07-11 16:14:20,347 - INFO - [SYSTEM] Starting Task 5/7: Evaluate Regular Models
2026-07-11 16:14:20,427 - INFO - [Evaluate Regular Models] Evaluating 2 normal model(s) on 97 samples, 1 noise level(s), 1 MC pass(es) each.
2026-07-11 16:14:20,433 - INFO - [Evaluate Regular Models] Loading normal model 1/2: model_1.pt
2026-07-11 16:14:20,529 - ERROR - Pipeline failed: Error(s) in loading state_dict for CNN3D:
	Unexpected key(s) in state_dict: "image_section.splitcnv.leftblock.0.cnv.depthwise.weight", "image_section.splitcnv.leftblock.0.norm.weight", "image_section.splitcnv.leftblock.0.norm.bias", "image_section.splitcnv.leftblock.0.norm.running_mean", "image_section.splitcnv.leftblock.0.norm.running_var", "image_section.splitcnv.leftblock.0.norm.num_batches_tracked", "image_section.splitcnv.leftblock.1.cnv.depthwise.weight", "image_section.splitcnv.leftblock.1.norm.weight", "image_section.splitcnv.leftblock.1.norm.bias", "image_section.splitcnv.leftblock.1.norm.running_mean", "image_section.splitcnv.leftblock.1.norm.running_var", "image_section.splitcnv.leftblock.1.norm.num_batches_tracked", "image_section.splitcnv.rightblock.0.cnv.depthwise.weight", "image_section.splitcnv.rightblock.0.norm.weight", "image_section.splitcnv.rightblock.0.norm.bias", "image_section.splitcnv.rightblock.0.norm.running_mean", "image_section.splitcnv.rightblock.0.norm.running_var", "image_section.splitcnv.rightblock.0.norm.num_batches_tracked", "image_section.splitcnv.rightblock.1.cnv.depthwise.weight", "image_section.splitcnv.rightblock.1.norm.weight", "image_section.splitcnv.rightblock.1.norm.bias", "image_section.splitcnv.rightblock.1.norm.running_mean", "image_section.splitcnv.rightblock.1.norm.running_var", "image_section.splitcnv.rightblock.1.norm.num_batches_tracked". 
Traceback (most recent call last):
  File "/home/nschense/Documents/Medphys_Research/alnn_rewrite/main.py", line 256, in run_background_pipeline
    task_func(task_tracker, task_logger, config, pipeline_state)
    ~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/nschense/Documents/Medphys_Research/alnn_rewrite/tasks/evaluate.py", line 251, in evaluate_normal_task
    _evaluate_ensemble(
    ~~~~~~~~~~~~~~~~~~^
        model_paths=paths,
        ^^^^^^^^^^^^^^^^^^
    ...<7 lines>...
        out_path=_out_path(config, "normal.nc"),
        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
    )
    ^
  File "/home/nschense/Documents/Medphys_Research/alnn_rewrite/tasks/evaluate.py", line 174, in _evaluate_ensemble
    model = load_model(path, kind, config, device)
  File "/home/nschense/Documents/Medphys_Research/alnn_rewrite/model/factory.py", line 62, in load_model
    model.load_state_dict(state_dict)
    ~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^
  File "/home/nschense/Documents/Medphys_Research/alnn_rewrite/.venv/lib64/python3.14/site-packages/torch/nn/modules/module.py", line 2638, in load_state_dict
    raise RuntimeError(
    ...<3 lines>...
    )
RuntimeError: Error(s) in loading state_dict for CNN3D:
	Unexpected key(s) in state_dict: "image_section.splitcnv.leftblock.0.cnv.depthwise.weight", "image_section.splitcnv.leftblock.0.norm.weight", "image_section.splitcnv.leftblock.0.norm.bias", "image_section.splitcnv.leftblock.0.norm.running_mean", "image_section.splitcnv.leftblock.0.norm.running_var", "image_section.splitcnv.leftblock.0.norm.num_batches_tracked", "image_section.splitcnv.leftblock.1.cnv.depthwise.weight", "image_section.splitcnv.leftblock.1.norm.weight", "image_section.splitcnv.leftblock.1.norm.bias", "image_section.splitcnv.leftblock.1.norm.running_mean", "image_section.splitcnv.leftblock.1.norm.running_var", "image_section.splitcnv.leftblock.1.norm.num_batches_tracked", "image_section.splitcnv.rightblock.0.cnv.depthwise.weight", "image_section.splitcnv.rightblock.0.norm.weight", "image_section.splitcnv.rightblock.0.norm.bias", "image_section.splitcnv.rightblock.0.norm.running_mean", "image_section.splitcnv.rightblock.0.norm.running_var", "image_section.splitcnv.rightblock.0.norm.num_batches_tracked", "image_section.splitcnv.rightblock.1.cnv.depthwise.weight", "image_section.splitcnv.rightblock.1.norm.weight", "image_section.splitcnv.rightblock.1.norm.bias", "image_section.splitcnv.rightblock.1.norm.running_mean", "image_section.splitcnv.rightblock.1.norm.running_var", "image_section.splitcnv.rightblock.1.norm.num_batches_tracked". 
2026-07-11 16:14:20,530 - ERROR - [SYSTEM] ERROR: Error(s) in loading state_dict for CNN3D:
	Unexpected key(s) in state_dict: "image_section.splitcnv.leftblock.0.cnv.depthwise.weight", "image_section.splitcnv.leftblock.0.norm.weight", "image_section.splitcnv.leftblock.0.norm.bias", "image_section.splitcnv.leftblock.0.norm.running_mean", "image_section.splitcnv.leftblock.0.norm.running_var", "image_section.splitcnv.leftblock.0.norm.num_batches_tracked", "image_section.splitcnv.leftblock.1.cnv.depthwise.weight", "image_section.splitcnv.leftblock.1.norm.weight", "image_section.splitcnv.leftblock.1.norm.bias", "image_section.splitcnv.leftblock.1.norm.running_mean", "image_section.splitcnv.leftblock.1.norm.running_var", "image_section.splitcnv.leftblock.1.norm.num_batches_tracked", "image_section.splitcnv.rightblock.0.cnv.depthwise.weight", "image_section.splitcnv.rightblock.0.norm.weight", "image_section.splitcnv.rightblock.0.norm.bias", "image_section.splitcnv.rightblock.0.norm.running_mean", "image_section.splitcnv.rightblock.0.norm.running_var", "image_section.splitcnv.rightblock.0.norm.num_batches_tracked", "image_section.splitcnv.rightblock.1.cnv.depthwise.weight", "image_section.splitcnv.rightblock.1.norm.weight", "image_section.splitcnv.rightblock.1.norm.bias", "image_section.splitcnv.rightblock.1.norm.running_mean", "image_section.splitcnv.rightblock.1.norm.running_var", "image_section.splitcnv.rightblock.1.norm.num_batches_tracked". 
2026-07-11 17:10:36,264 - INFO - [SYSTEM] Application initialized and ready.
2026-07-11 17:10:42,209 - INFO - [SYSTEM] Successfully loaded config from ./outputs/smoke_test/config.toml
2026-07-11 17:10:46,053 - INFO - [SYSTEM] Initiating Scenario: 1. Train, Evaluate, & Noise Analysis
2026-07-11 17:10:46,064 - INFO - [SYSTEM] Starting Task 1/7: Load Image and ADNIMERGE
2026-07-11 17:10:46,200 - INFO - [Load Image and ADNIMERGE] Seeded RNGs with base seed 42
2026-07-11 17:10:46,201 - INFO - [Load Image and ADNIMERGE] Loading Files
2026-07-11 17:10:48,813 - INFO - [Load Image and ADNIMERGE] Dataloaders initalized
2026-07-11 17:10:48,818 - INFO - [Load Image and ADNIMERGE] Task completed.
2026-07-11 17:10:48,819 - INFO - [SYSTEM] Starting Task 2/7: Train Regular Models
2026-07-11 17:10:48,820 - INFO - [Train Regular Models] Starting normal model training...
2026-07-11 17:10:48,820 - INFO - [Train Regular Models] Intermediate models will be saved to outputs/smoke_test/normal_models/intermediate_models
2026-07-11 17:10:48,821 - INFO - [Train Regular Models] Training model 1/2 (seed 42)...
2026-07-11 17:11:08,526 - INFO - [Train Regular Models] Epoch [1/2], Train Loss: 0.5717, Val Loss: 0.6972, Train Acc: 0.7461, Val Acc: 0.4631
2026-07-11 17:11:27,350 - INFO - [Train Regular Models] Epoch [2/2], Train Loss: 0.4038, Val Loss: 0.7688, Train Acc: 0.8965, Val Acc: 0.4698
2026-07-11 17:11:28,289 - INFO - [Train Regular Models] Run 1/2 - Test Loss: 0.5774, Test Accuracy: 0.6289
2026-07-11 17:11:28,429 - INFO - [Train Regular Models] Model saved to outputs/smoke_test/normal_models/model_1.pt
2026-07-11 17:11:28,690 - INFO - [Train Regular Models] Training model 2/2 (seed 43)...
2026-07-11 17:11:47,732 - INFO - [Train Regular Models] Epoch [1/2], Train Loss: 0.5832, Val Loss: 0.6431, Train Acc: 0.6699, Val Acc: 0.7181
2026-07-11 17:12:06,736 - INFO - [Train Regular Models] Epoch [2/2], Train Loss: 0.4876, Val Loss: 0.6273, Train Acc: 0.7949, Val Acc: 0.8121
2026-07-11 17:12:07,675 - INFO - [Train Regular Models] Run 2/2 - Test Loss: 0.6200, Test Accuracy: 0.8351
2026-07-11 17:12:07,811 - INFO - [Train Regular Models] Model saved to outputs/smoke_test/normal_models/model_2.pt
2026-07-11 17:12:08,066 - INFO - [Train Regular Models] All models trained and saved successfully.
2026-07-11 17:12:08,067 - INFO - [Train Regular Models] Task completed.
2026-07-11 17:12:08,069 - INFO - [SYSTEM] Starting Task 3/7: Train Bayesian Models
2026-07-11 17:12:08,069 - INFO - [Train Bayesian Models] Starting bayesian model training...
2026-07-11 17:12:08,070 - INFO - [Train Bayesian Models] Intermediate models will be saved to outputs/smoke_test/bayesian_models/intermediate_models
2026-07-11 17:12:08,071 - INFO - [Train Bayesian Models] Training model 1/2 (seed 100042)...
2026-07-11 17:12:27,774 - INFO - [Train Bayesian Models] Epoch [1/2], Train Loss: 2.5890, Val Loss: 2.7286, Train Acc: 0.5586, Val Acc: 0.5570
2026-07-11 17:12:47,142 - INFO - [Train Bayesian Models] Epoch [2/2], Train Loss: 2.5851, Val Loss: 2.7865, Train Acc: 0.5645, Val Acc: 0.4698
2026-07-11 17:12:48,119 - INFO - [Train Bayesian Models] Run 1/2 - Test Loss: 3.2260, Test Accuracy: 0.5464
2026-07-11 17:12:48,351 - INFO - [Train Bayesian Models] Model saved to outputs/smoke_test/bayesian_models/model_1.pt
2026-07-11 17:12:48,636 - INFO - [Train Bayesian Models] Training model 2/2 (seed 100043)...
2026-07-11 17:13:08,293 - INFO - [Train Bayesian Models] Epoch [1/2], Train Loss: 2.5867, Val Loss: 2.7737, Train Acc: 0.5020, Val Acc: 0.5503
2026-07-11 17:13:27,773 - INFO - [Train Bayesian Models] Epoch [2/2], Train Loss: 2.5661, Val Loss: 2.7914, Train Acc: 0.5996, Val Acc: 0.5235
2026-07-11 17:13:28,752 - INFO - [Train Bayesian Models] Run 2/2 - Test Loss: 3.2091, Test Accuracy: 0.4639
2026-07-11 17:13:28,979 - INFO - [Train Bayesian Models] Model saved to outputs/smoke_test/bayesian_models/model_2.pt
2026-07-11 17:13:29,276 - INFO - [Train Bayesian Models] All Bayesian models trained and saved successfully.
2026-07-11 17:13:29,276 - INFO - [Train Bayesian Models] Task completed.
2026-07-11 17:13:29,277 - INFO - [SYSTEM] Starting Task 4/7: Load Saved Models
2026-07-11 17:13:29,278 - INFO - [Load Saved Models] Found 2 normal model(s) in normal_models/.
2026-07-11 17:13:29,279 - INFO - [Load Saved Models] Found 2 bayesian model(s) in bayesian_models/.
2026-07-11 17:13:29,280 - INFO - [Load Saved Models] Task completed.
2026-07-11 17:13:29,281 - INFO - [SYSTEM] Starting Task 5/7: Evaluate Regular Models
2026-07-11 17:13:29,361 - INFO - [Evaluate Regular Models] Evaluating 2 normal model(s) on 97 samples, 1 noise level(s), 1 MC pass(es) each.
2026-07-11 17:13:29,367 - INFO - [Evaluate Regular Models] Loading normal model 1/2: model_1.pt
2026-07-11 17:13:30,541 - INFO - [Evaluate Regular Models] Loading normal model 2/2: model_2.pt
2026-07-11 17:13:31,771 - INFO - [Evaluate Regular Models] Saved normal evaluation to outputs/smoke_test/evaluations/normal.nc (models=2, samples=97, noise_levels=1).
2026-07-11 17:13:31,772 - INFO - [Evaluate Regular Models] Task completed.
2026-07-11 17:13:31,774 - INFO - [SYSTEM] Starting Task 6/7: Evaluate Bayesian Models
2026-07-11 17:13:31,847 - INFO - [Evaluate Bayesian Models] Evaluating 2 bayesian model(s) on 97 samples, 1 noise level(s), 5 MC pass(es) each.
2026-07-11 17:13:31,853 - INFO - [Evaluate Bayesian Models] Loading bayesian model 1/2: model_1.pt
2026-07-11 17:13:37,140 - INFO - [Evaluate Bayesian Models] Loading bayesian model 2/2: model_2.pt
2026-07-11 17:13:42,407 - INFO - [Evaluate Bayesian Models] Saved bayesian evaluation to outputs/smoke_test/evaluations/bayesian.nc (models=2, samples=97, noise_levels=1).
2026-07-11 17:13:42,408 - INFO - [Evaluate Bayesian Models] Task completed.
2026-07-11 17:13:42,409 - INFO - [SYSTEM] Starting Task 7/7: Evaluate Models on Noised Data
2026-07-11 17:13:42,480 - INFO - [Evaluate Models on Noised Data] Evaluating 2 normal model(s) on 97 samples, 2 noise level(s), 1 MC pass(es) each.
2026-07-11 17:13:42,487 - INFO - [Evaluate Models on Noised Data] Loading normal model 1/2: model_1.pt
2026-07-11 17:13:44,611 - INFO - [Evaluate Models on Noised Data] Loading normal model 2/2: model_2.pt
2026-07-11 17:13:46,745 - INFO - [Evaluate Models on Noised Data] Saved normal evaluation to outputs/smoke_test/evaluations/noisy_normal.nc (models=2, samples=97, noise_levels=2).
2026-07-11 17:13:46,821 - INFO - [Evaluate Models on Noised Data] Evaluating 2 bayesian model(s) on 97 samples, 2 noise level(s), 5 MC pass(es) each.
2026-07-11 17:13:46,827 - INFO - [Evaluate Models on Noised Data] Loading bayesian model 1/2: model_1.pt
2026-07-11 17:13:56,852 - INFO - [Evaluate Models on Noised Data] Loading bayesian model 2/2: model_2.pt
2026-07-11 17:14:06,893 - INFO - [Evaluate Models on Noised Data] Saved bayesian evaluation to outputs/smoke_test/evaluations/noisy_bayesian.nc (models=2, samples=97, noise_levels=2).
2026-07-11 17:14:06,894 - INFO - [Evaluate Models on Noised Data] Task completed.
2026-07-11 17:14:06,896 - INFO - [SYSTEM] All tasks finished successfully!
2026-07-11 17:19:15,493 - INFO - [SYSTEM] Application initialized and ready.
2026-07-11 17:19:22,055 - INFO - [SYSTEM] Copied default config to ./outputs/exp1/config.toml. Ready for editing!
2026-07-11 17:19:40,392 - INFO - [SYSTEM] Initiating Scenario: 1. Train, Evaluate, & Noise Analysis
2026-07-11 17:19:40,394 - INFO - [SYSTEM] Starting Task 1/7: Load Image and ADNIMERGE
2026-07-11 17:19:40,526 - INFO - [Load Image and ADNIMERGE] Seeded RNGs with base seed 42
2026-07-11 17:19:40,526 - INFO - [Load Image and ADNIMERGE] Loading Files
2026-07-11 17:19:42,857 - INFO - [Load Image and ADNIMERGE] Dataloaders initalized
2026-07-11 17:19:42,862 - INFO - [Load Image and ADNIMERGE] Task completed.
2026-07-11 17:19:42,863 - INFO - [SYSTEM] Starting Task 2/7: Train Regular Models
2026-07-11 17:19:42,863 - INFO - [Train Regular Models] Starting normal model training...
2026-07-11 17:19:42,864 - INFO - [Train Regular Models] Intermediate models will be saved to outputs/exp1/normal_models/intermediate_models
2026-07-11 17:19:42,865 - INFO - [Train Regular Models] Training model 1/30 (seed 42)...
2026-07-11 17:20:02,683 - INFO - [Train Regular Models] Epoch [1/25], Train Loss: 0.5717, Val Loss: 0.6969, Train Acc: 0.7461, Val Acc: 0.4631
2026-07-11 17:20:21,603 - INFO - [Train Regular Models] Epoch [2/25], Train Loss: 0.4038, Val Loss: 0.7630, Train Acc: 0.8965, Val Acc: 0.4698
2026-07-11 17:20:40,580 - INFO - [Train Regular Models] Epoch [3/25], Train Loss: 0.3525, Val Loss: 0.7065, Train Acc: 0.9531, Val Acc: 0.5034
2026-07-11 17:20:59,682 - INFO - [Train Regular Models] Epoch [4/25], Train Loss: 0.3325, Val Loss: 0.6290, Train Acc: 0.9395, Val Acc: 0.7248
2026-07-11 17:21:18,790 - INFO - [Train Regular Models] Epoch [5/25], Train Loss: 0.2829, Val Loss: 0.5612, Train Acc: 0.9688, Val Acc: 0.6510
2026-07-11 17:21:37,904 - INFO - [Train Regular Models] Epoch [6/25], Train Loss: 0.2714, Val Loss: 0.6511, Train Acc: 0.9766, Val Acc: 0.5570
2026-07-11 17:21:37,999 - INFO - [Train Regular Models] Model saved at epoch 6
2026-07-11 17:21:57,122 - INFO - [Train Regular Models] Epoch [7/25], Train Loss: 0.2257, Val Loss: 0.5693, Train Acc: 0.9766, Val Acc: 0.8121
2026-07-11 17:22:16,242 - INFO - [Train Regular Models] Epoch [8/25], Train Loss: 0.2152, Val Loss: 0.4882, Train Acc: 0.9844, Val Acc: 0.7852
2026-07-11 17:22:35,455 - INFO - [Train Regular Models] Epoch [9/25], Train Loss: 0.2013, Val Loss: 0.5770, Train Acc: 0.9707, Val Acc: 0.5973
2026-07-11 17:22:54,566 - INFO - [Train Regular Models] Epoch [10/25], Train Loss: 0.1855, Val Loss: 0.4883, Train Acc: 0.9785, Val Acc: 0.8121
2026-07-11 17:23:13,680 - INFO - [Train Regular Models] Epoch [11/25], Train Loss: 0.1915, Val Loss: 0.7866, Train Acc: 0.9746, Val Acc: 0.4631
2026-07-11 17:23:32,805 - INFO - [Train Regular Models] Epoch [12/25], Train Loss: 0.1691, Val Loss: 0.5540, Train Acc: 0.9746, Val Acc: 0.6376
2026-07-11 17:23:32,895 - INFO - [Train Regular Models] Model saved at epoch 12
2026-07-11 17:23:52,011 - INFO - [Train Regular Models] Epoch [13/25], Train Loss: 0.1609, Val Loss: 0.5740, Train Acc: 0.9824, Val Acc: 0.8322
2026-07-11 17:24:11,131 - INFO - [Train Regular Models] Epoch [14/25], Train Loss: 0.1577, Val Loss: 0.6400, Train Acc: 0.9805, Val Acc: 0.5369
2026-07-11 17:24:30,247 - INFO - [Train Regular Models] Epoch [15/25], Train Loss: 0.1495, Val Loss: 0.4971, Train Acc: 0.9844, Val Acc: 0.7584
2026-07-11 17:24:49,356 - INFO - [Train Regular Models] Epoch [16/25], Train Loss: 0.1341, Val Loss: 0.5713, Train Acc: 0.9824, Val Acc: 0.6376
2026-07-11 17:25:08,472 - INFO - [Train Regular Models] Epoch [17/25], Train Loss: 0.1435, Val Loss: 0.5694, Train Acc: 0.9688, Val Acc: 0.7181
2026-07-11 17:25:27,587 - INFO - [Train Regular Models] Epoch [18/25], Train Loss: 0.1350, Val Loss: 0.7622, Train Acc: 0.9824, Val Acc: 0.5034
2026-07-11 17:25:27,677 - INFO - [Train Regular Models] Model saved at epoch 18
2026-07-11 17:25:46,790 - INFO - [Train Regular Models] Epoch [19/25], Train Loss: 0.1199, Val Loss: 0.7813, Train Acc: 0.9824, Val Acc: 0.4966
2026-07-11 17:26:05,901 - INFO - [Train Regular Models] Epoch [20/25], Train Loss: 0.1137, Val Loss: 0.8313, Train Acc: 0.9863, Val Acc: 0.5101
2026-07-11 17:26:25,012 - INFO - [Train Regular Models] Epoch [21/25], Train Loss: 0.1107, Val Loss: 0.7648, Train Acc: 0.9805, Val Acc: 0.5503
2026-07-11 17:26:44,131 - INFO - [Train Regular Models] Epoch [22/25], Train Loss: 0.1047, Val Loss: 0.5010, Train Acc: 0.9824, Val Acc: 0.7651
2026-07-11 17:27:03,248 - INFO - [Train Regular Models] Epoch [23/25], Train Loss: 0.0953, Val Loss: 0.5019, Train Acc: 0.9883, Val Acc: 0.7718
2026-07-11 17:27:22,354 - INFO - [Train Regular Models] Epoch [24/25], Train Loss: 0.0981, Val Loss: 0.5202, Train Acc: 0.9766, Val Acc: 0.7114
2026-07-11 17:27:22,449 - INFO - [Train Regular Models] Model saved at epoch 24
2026-07-11 17:27:41,549 - INFO - [Train Regular Models] Epoch [25/25], Train Loss: 0.0957, Val Loss: 0.5616, Train Acc: 0.9863, Val Acc: 0.6577
2026-07-11 17:27:42,496 - INFO - [Train Regular Models] Run 1/30 - Test Loss: 0.4719, Test Accuracy: 0.8247
2026-07-11 17:27:42,597 - INFO - [Train Regular Models] Model saved to outputs/exp1/normal_models/model_1.pt
2026-07-11 17:27:42,863 - INFO - [Train Regular Models] Training model 2/30 (seed 43)...
2026-07-11 17:28:02,055 - INFO - [Train Regular Models] Epoch [1/25], Train Loss: 0.6299, Val Loss: 0.6540, Train Acc: 0.6211, Val Acc: 0.5034
2026-07-11 17:28:21,153 - INFO - [Train Regular Models] Epoch [2/25], Train Loss: 0.5031, Val Loss: 0.6612, Train Acc: 0.8008, Val Acc: 0.6510
2026-07-11 17:28:40,255 - INFO - [Train Regular Models] Epoch [3/25], Train Loss: 0.4574, Val Loss: 0.6114, Train Acc: 0.8633, Val Acc: 0.8255
2026-07-11 17:28:59,340 - INFO - [Train Regular Models] Epoch [4/25], Train Loss: 0.4086, Val Loss: 0.6152, Train Acc: 0.9297, Val Acc: 0.7047
2026-07-11 17:29:18,444 - INFO - [Train Regular Models] Epoch [5/25], Train Loss: 0.3782, Val Loss: 0.6095, Train Acc: 0.9492, Val Acc: 0.5570
2026-07-11 17:29:37,524 - INFO - [Train Regular Models] Epoch [6/25], Train Loss: 0.3639, Val Loss: 0.5663, Train Acc: 0.9531, Val Acc: 0.7651
2026-07-11 17:29:37,658 - INFO - [Train Regular Models] Model saved at epoch 6
2026-07-11 17:29:56,754 - INFO - [Train Regular Models] Epoch [7/25], Train Loss: 0.3513, Val Loss: 0.6643, Train Acc: 0.9551, Val Acc: 0.5235
2026-07-11 17:30:15,855 - INFO - [Train Regular Models] Epoch [8/25], Train Loss: 0.3309, Val Loss: 0.6433, Train Acc: 0.9590, Val Acc: 0.6779
2026-07-11 17:30:34,970 - INFO - [Train Regular Models] Epoch [9/25], Train Loss: 0.2987, Val Loss: 0.5931, Train Acc: 0.9824, Val Acc: 0.7919
2026-07-11 17:30:54,075 - INFO - [Train Regular Models] Epoch [10/25], Train Loss: 0.2757, Val Loss: 0.5361, Train Acc: 0.9785, Val Acc: 0.7383
2026-07-11 17:31:13,156 - INFO - [Train Regular Models] Epoch [11/25], Train Loss: 0.2596, Val Loss: 0.5844, Train Acc: 0.9727, Val Acc: 0.7450
2026-07-11 17:31:32,242 - INFO - [Train Regular Models] Epoch [12/25], Train Loss: 0.2599, Val Loss: 0.7049, Train Acc: 0.9727, Val Acc: 0.5638
2026-07-11 17:31:32,377 - INFO - [Train Regular Models] Model saved at epoch 12
2026-07-11 17:31:51,471 - INFO - [Train Regular Models] Epoch [13/25], Train Loss: 0.2461, Val Loss: 0.6244, Train Acc: 0.9688, Val Acc: 0.5906
2026-07-11 17:32:10,555 - INFO - [Train Regular Models] Epoch [14/25], Train Loss: 0.2208, Val Loss: 0.6033, Train Acc: 0.9766, Val Acc: 0.7248
2026-07-11 17:32:29,654 - INFO - [Train Regular Models] Epoch [15/25], Train Loss: 0.2141, Val Loss: 0.5221, Train Acc: 0.9805, Val Acc: 0.8121
2026-07-11 17:32:48,755 - INFO - [Train Regular Models] Epoch [16/25], Train Loss: 0.1933, Val Loss: 0.5638, Train Acc: 0.9824, Val Acc: 0.7114
2026-07-11 17:33:07,858 - INFO - [Train Regular Models] Epoch [17/25], Train Loss: 0.1854, Val Loss: 0.4846, Train Acc: 0.9746, Val Acc: 0.8725
2026-07-11 17:33:26,953 - INFO - [Train Regular Models] Epoch [18/25], Train Loss: 0.1774, Val Loss: 0.5603, Train Acc: 0.9785, Val Acc: 0.6913
2026-07-11 17:33:27,085 - INFO - [Train Regular Models] Model saved at epoch 18
2026-07-11 17:33:46,199 - INFO - [Train Regular Models] Epoch [19/25], Train Loss: 0.1683, Val Loss: 0.7349, Train Acc: 0.9805, Val Acc: 0.5705
2026-07-11 17:34:05,289 - INFO - [Train Regular Models] Epoch [20/25], Train Loss: 0.1613, Val Loss: 0.4964, Train Acc: 0.9727, Val Acc: 0.7181
2026-07-11 17:34:24,389 - INFO - [Train Regular Models] Epoch [21/25], Train Loss: 0.1499, Val Loss: 0.4718, Train Acc: 0.9785, Val Acc: 0.8322
2026-07-11 17:34:43,490 - INFO - [Train Regular Models] Epoch [22/25], Train Loss: 0.1464, Val Loss: 0.5333, Train Acc: 0.9824, Val Acc: 0.7517
2026-07-11 17:35:02,601 - INFO - [Train Regular Models] Epoch [23/25], Train Loss: 0.1363, Val Loss: 0.5720, Train Acc: 0.9824, Val Acc: 0.6577
2026-07-11 17:35:21,704 - INFO - [Train Regular Models] Epoch [24/25], Train Loss: 0.1346, Val Loss: 0.6697, Train Acc: 0.9824, Val Acc: 0.5772
2026-07-11 17:35:21,837 - INFO - [Train Regular Models] Model saved at epoch 24
2026-07-11 17:35:40,943 - INFO - [Train Regular Models] Epoch [25/25], Train Loss: 0.1435, Val Loss: 0.5525, Train Acc: 0.9727, Val Acc: 0.7718
2026-07-11 17:35:41,890 - INFO - [Train Regular Models] Run 2/30 - Test Loss: 0.5256, Test Accuracy: 0.8454
2026-07-11 17:35:41,979 - INFO - [Train Regular Models] Model saved to outputs/exp1/normal_models/model_2.pt
2026-07-11 17:35:42,246 - INFO - [Train Regular Models] Training model 3/30 (seed 44)...
2026-07-11 17:36:01,435 - INFO - [Train Regular Models] Epoch [1/25], Train Loss: 0.4892, Val Loss: 0.7538, Train Acc: 0.8066, Val Acc: 0.4698
2026-07-11 17:36:20,538 - INFO - [Train Regular Models] Epoch [2/25], Train Loss: 0.3533, Val Loss: 0.7777, Train Acc: 0.9395, Val Acc: 0.5369
2026-07-11 17:36:39,652 - INFO - [Train Regular Models] Epoch [3/25], Train Loss: 0.3187, Val Loss: 0.6520, Train Acc: 0.9395, Val Acc: 0.5369
2026-07-11 17:36:58,756 - INFO - [Train Regular Models] Epoch [4/25], Train Loss: 0.2809, Val Loss: 0.6946, Train Acc: 0.9766, Val Acc: 0.5705
2026-07-11 17:37:17,854 - INFO - [Train Regular Models] Epoch [5/25], Train Loss: 0.2462, Val Loss: 0.5004, Train Acc: 0.9629, Val Acc: 0.7248
2026-07-11 17:37:36,949 - INFO - [Train Regular Models] Epoch [6/25], Train Loss: 0.2166, Val Loss: 0.5847, Train Acc: 0.9805, Val Acc: 0.6309
2026-07-11 17:37:37,090 - INFO - [Train Regular Models] Model saved at epoch 6
2026-07-11 17:37:56,182 - INFO - [Train Regular Models] Epoch [7/25], Train Loss: 0.2031, Val Loss: 0.5281, Train Acc: 0.9805, Val Acc: 0.7248
2026-07-11 17:38:15,272 - INFO - [Train Regular Models] Epoch [8/25], Train Loss: 0.1873, Val Loss: 0.5240, Train Acc: 0.9785, Val Acc: 0.7517
2026-07-11 17:38:34,382 - INFO - [Train Regular Models] Epoch [9/25], Train Loss: 0.1777, Val Loss: 0.6994, Train Acc: 0.9863, Val Acc: 0.5638
2026-07-11 17:38:53,479 - INFO - [Train Regular Models] Epoch [10/25], Train Loss: 0.1619, Val Loss: 0.7216, Train Acc: 0.9844, Val Acc: 0.5772
2026-07-11 17:39:12,564 - INFO - [Train Regular Models] Epoch [11/25], Train Loss: 0.1658, Val Loss: 0.6298, Train Acc: 0.9785, Val Acc: 0.6040
2026-07-11 17:39:31,649 - INFO - [Train Regular Models] Epoch [12/25], Train Loss: 0.1473, Val Loss: 0.4783, Train Acc: 0.9785, Val Acc: 0.8322
2026-07-11 17:39:31,784 - INFO - [Train Regular Models] Model saved at epoch 12
2026-07-11 17:39:50,902 - INFO - [Train Regular Models] Epoch [13/25], Train Loss: 0.1415, Val Loss: 0.9452, Train Acc: 0.9785, Val Acc: 0.5570
2026-07-11 17:40:10,018 - INFO - [Train Regular Models] Epoch [14/25], Train Loss: 0.1305, Val Loss: 0.5531, Train Acc: 0.9824, Val Acc: 0.7047
2026-07-11 17:40:29,123 - INFO - [Train Regular Models] Epoch [15/25], Train Loss: 0.1174, Val Loss: 0.4994, Train Acc: 0.9824, Val Acc: 0.8121
2026-07-11 17:40:48,224 - INFO - [Train Regular Models] Epoch [16/25], Train Loss: 0.1091, Val Loss: 0.4838, Train Acc: 0.9883, Val Acc: 0.7248
2026-07-11 17:41:07,330 - INFO - [Train Regular Models] Epoch [17/25], Train Loss: 0.1036, Val Loss: 0.5347, Train Acc: 0.9863, Val Acc: 0.6779
2026-07-11 17:41:26,434 - INFO - [Train Regular Models] Epoch [18/25], Train Loss: 0.1065, Val Loss: 0.3848, Train Acc: 0.9785, Val Acc: 0.8658
2026-07-11 17:41:26,569 - INFO - [Train Regular Models] Model saved at epoch 18
2026-07-11 17:41:45,691 - INFO - [Train Regular Models] Epoch [19/25], Train Loss: 0.1003, Val Loss: 0.4589, Train Acc: 0.9863, Val Acc: 0.8389
2026-07-11 17:42:04,816 - INFO - [Train Regular Models] Epoch [20/25], Train Loss: 0.0963, Val Loss: 0.4797, Train Acc: 0.9844, Val Acc: 0.7181
2026-07-11 17:42:23,943 - INFO - [Train Regular Models] Epoch [21/25], Train Loss: 0.0818, Val Loss: 0.5728, Train Acc: 0.9883, Val Acc: 0.6376
2026-07-11 17:42:43,056 - INFO - [Train Regular Models] Epoch [22/25], Train Loss: 0.0920, Val Loss: 0.7582, Train Acc: 0.9824, Val Acc: 0.5772
2026-07-11 17:43:02,189 - INFO - [Train Regular Models] Epoch [23/25], Train Loss: 0.0989, Val Loss: 0.9330, Train Acc: 0.9805, Val Acc: 0.5436
2026-07-11 17:43:21,300 - INFO - [Train Regular Models] Epoch [24/25], Train Loss: 0.0915, Val Loss: 0.8215, Train Acc: 0.9785, Val Acc: 0.5503
2026-07-11 17:43:21,436 - INFO - [Train Regular Models] Model saved at epoch 24
2026-07-11 17:43:40,550 - INFO - [Train Regular Models] Epoch [25/25], Train Loss: 0.0808, Val Loss: 0.4445, Train Acc: 0.9844, Val Acc: 0.8121
2026-07-11 17:43:41,487 - INFO - [Train Regular Models] Run 3/30 - Test Loss: 0.3496, Test Accuracy: 0.8454
2026-07-11 17:43:41,583 - INFO - [Train Regular Models] Model saved to outputs/exp1/normal_models/model_3.pt
2026-07-11 17:43:41,852 - INFO - [Train Regular Models] Training model 4/30 (seed 45)...
2026-07-11 17:44:01,057 - INFO - [Train Regular Models] Epoch [1/25], Train Loss: 0.5708, Val Loss: 0.6306, Train Acc: 0.7598, Val Acc: 0.6846
2026-07-11 17:44:20,154 - INFO - [Train Regular Models] Epoch [2/25], Train Loss: 0.4389, Val Loss: 0.6032, Train Acc: 0.8906, Val Acc: 0.6040
2026-07-11 17:44:39,234 - INFO - [Train Regular Models] Epoch [3/25], Train Loss: 0.3938, Val Loss: 0.5876, Train Acc: 0.9434, Val Acc: 0.8188
2026-07-11 17:44:58,332 - INFO - [Train Regular Models] Epoch [4/25], Train Loss: 0.3537, Val Loss: 0.5448, Train Acc: 0.9668, Val Acc: 0.8121
2026-07-11 17:45:17,425 - INFO - [Train Regular Models] Epoch [5/25], Train Loss: 0.3293, Val Loss: 0.4954, Train Acc: 0.9648, Val Acc: 0.8389
2026-07-11 17:45:36,516 - INFO - [Train Regular Models] Epoch [6/25], Train Loss: 0.3134, Val Loss: 0.5364, Train Acc: 0.9844, Val Acc: 0.8322
2026-07-11 17:45:36,659 - INFO - [Train Regular Models] Model saved at epoch 6
2026-07-11 17:45:55,771 - INFO - [Train Regular Models] Epoch [7/25], Train Loss: 0.2716, Val Loss: 0.6247, Train Acc: 0.9883, Val Acc: 0.5772
2026-07-11 17:46:14,874 - INFO - [Train Regular Models] Epoch [8/25], Train Loss: 0.2710, Val Loss: 0.5587, Train Acc: 0.9766, Val Acc: 0.6846
2026-07-11 17:46:33,990 - INFO - [Train Regular Models] Epoch [9/25], Train Loss: 0.2515, Val Loss: 0.5608, Train Acc: 0.9727, Val Acc: 0.6779
2026-07-11 17:46:53,092 - INFO - [Train Regular Models] Epoch [10/25], Train Loss: 0.2360, Val Loss: 0.5883, Train Acc: 0.9824, Val Acc: 0.6644
2026-07-11 17:47:12,198 - INFO - [Train Regular Models] Epoch [11/25], Train Loss: 0.2236, Val Loss: 0.6521, Train Acc: 0.9824, Val Acc: 0.5638
2026-07-11 17:47:31,292 - INFO - [Train Regular Models] Epoch [12/25], Train Loss: 0.2202, Val Loss: 0.5299, Train Acc: 0.9785, Val Acc: 0.7651
2026-07-11 17:47:31,431 - INFO - [Train Regular Models] Model saved at epoch 12
2026-07-11 17:47:50,543 - INFO - [Train Regular Models] Epoch [13/25], Train Loss: 0.2045, Val Loss: 0.5153, Train Acc: 0.9844, Val Acc: 0.8255
2026-07-11 17:48:09,652 - INFO - [Train Regular Models] Epoch [14/25], Train Loss: 0.1864, Val Loss: 0.5479, Train Acc: 0.9883, Val Acc: 0.6980
2026-07-11 17:48:28,754 - INFO - [Train Regular Models] Epoch [15/25], Train Loss: 0.1791, Val Loss: 0.6067, Train Acc: 0.9805, Val Acc: 0.6376
2026-07-11 17:48:47,857 - INFO - [Train Regular Models] Epoch [16/25], Train Loss: 0.1594, Val Loss: 0.5601, Train Acc: 0.9766, Val Acc: 0.7785
2026-07-11 17:49:06,971 - INFO - [Train Regular Models] Epoch [17/25], Train Loss: 0.1748, Val Loss: 0.7267, Train Acc: 0.9668, Val Acc: 0.5302
2026-07-11 17:49:26,084 - INFO - [Train Regular Models] Epoch [18/25], Train Loss: 0.1602, Val Loss: 0.6885, Train Acc: 0.9785, Val Acc: 0.5570
2026-07-11 17:49:26,224 - INFO - [Train Regular Models] Model saved at epoch 18
2026-07-11 17:49:45,330 - INFO - [Train Regular Models] Epoch [19/25], Train Loss: 0.1470, Val Loss: 0.6780, Train Acc: 0.9863, Val Acc: 0.5772
2026-07-11 17:50:04,440 - INFO - [Train Regular Models] Epoch [20/25], Train Loss: 0.1437, Val Loss: 0.5506, Train Acc: 0.9766, Val Acc: 0.6846
2026-07-11 17:50:23,556 - INFO - [Train Regular Models] Epoch [21/25], Train Loss: 0.1263, Val Loss: 0.6030, Train Acc: 0.9863, Val Acc: 0.5973
2026-07-11 17:50:42,654 - INFO - [Train Regular Models] Epoch [22/25], Train Loss: 0.1157, Val Loss: 0.5018, Train Acc: 0.9863, Val Acc: 0.7651
2026-07-11 17:51:01,764 - INFO - [Train Regular Models] Epoch [23/25], Train Loss: 0.1206, Val Loss: 0.5777, Train Acc: 0.9844, Val Acc: 0.6309
2026-07-11 17:51:20,867 - INFO - [Train Regular Models] Epoch [24/25], Train Loss: 0.1287, Val Loss: 0.6330, Train Acc: 0.9805, Val Acc: 0.5906
2026-07-11 17:51:21,005 - INFO - [Train Regular Models] Model saved at epoch 24
2026-07-11 17:51:40,102 - INFO - [Train Regular Models] Epoch [25/25], Train Loss: 0.1119, Val Loss: 0.6469, Train Acc: 0.9824, Val Acc: 0.5839
2026-07-11 17:51:41,042 - INFO - [Train Regular Models] Run 4/30 - Test Loss: 0.5247, Test Accuracy: 0.7010
2026-07-11 17:51:41,132 - INFO - [Train Regular Models] Model saved to outputs/exp1/normal_models/model_4.pt
2026-07-11 17:51:41,407 - INFO - [Train Regular Models] Training model 5/30 (seed 46)...
2026-07-11 17:52:00,603 - INFO - [Train Regular Models] Epoch [1/25], Train Loss: 0.5464, Val Loss: 0.6731, Train Acc: 0.7812, Val Acc: 0.5369
2026-07-11 17:52:19,701 - INFO - [Train Regular Models] Epoch [2/25], Train Loss: 0.4488, Val Loss: 0.9854, Train Acc: 0.8691, Val Acc: 0.4631
2026-07-11 17:52:38,811 - INFO - [Train Regular Models] Epoch [3/25], Train Loss: 0.4223, Val Loss: 0.5965, Train Acc: 0.8965, Val Acc: 0.6443
2026-07-11 17:52:57,910 - INFO - [Train Regular Models] Epoch [4/25], Train Loss: 0.3706, Val Loss: 0.6279, Train Acc: 0.9590, Val Acc: 0.6107
2026-07-11 17:53:17,022 - INFO - [Train Regular Models] Epoch [5/25], Train Loss: 0.3379, Val Loss: 0.7397, Train Acc: 0.9629, Val Acc: 0.5168
2026-07-11 17:53:36,150 - INFO - [Train Regular Models] Epoch [6/25], Train Loss: 0.3297, Val Loss: 0.6083, Train Acc: 0.9727, Val Acc: 0.6443
2026-07-11 17:53:36,294 - INFO - [Train Regular Models] Model saved at epoch 6
2026-07-11 17:53:55,419 - INFO - [Train Regular Models] Epoch [7/25], Train Loss: 0.3072, Val Loss: 0.6345, Train Acc: 0.9727, Val Acc: 0.5906
2026-07-11 17:54:14,513 - INFO - [Train Regular Models] Epoch [8/25], Train Loss: 0.2854, Val Loss: 0.7868, Train Acc: 0.9805, Val Acc: 0.5034
2026-07-11 17:54:33,623 - INFO - [Train Regular Models] Epoch [9/25], Train Loss: 0.2660, Val Loss: 0.6231, Train Acc: 0.9766, Val Acc: 0.6510
2026-07-11 17:54:52,734 - INFO - [Train Regular Models] Epoch [10/25], Train Loss: 0.2605, Val Loss: 0.7369, Train Acc: 0.9766, Val Acc: 0.5570
2026-07-11 17:55:11,838 - INFO - [Train Regular Models] Epoch [11/25], Train Loss: 0.2399, Val Loss: 0.6649, Train Acc: 0.9785, Val Acc: 0.5638
2026-07-11 17:55:30,948 - INFO - [Train Regular Models] Epoch [12/25], Train Loss: 0.2398, Val Loss: 0.5949, Train Acc: 0.9727, Val Acc: 0.6242
2026-07-11 17:55:31,086 - INFO - [Train Regular Models] Model saved at epoch 12
2026-07-11 17:55:50,194 - INFO - [Train Regular Models] Epoch [13/25], Train Loss: 0.2206, Val Loss: 0.7622, Train Acc: 0.9863, Val Acc: 0.5302
2026-07-11 17:56:09,308 - INFO - [Train Regular Models] Epoch [14/25], Train Loss: 0.2096, Val Loss: 0.6363, Train Acc: 0.9785, Val Acc: 0.5638
2026-07-11 17:56:28,414 - INFO - [Train Regular Models] Epoch [15/25], Train Loss: 0.1845, Val Loss: 0.5828, Train Acc: 0.9844, Val Acc: 0.6174
2026-07-11 17:56:47,505 - INFO - [Train Regular Models] Epoch [16/25], Train Loss: 0.2032, Val Loss: 0.7717, Train Acc: 0.9746, Val Acc: 0.5436
2026-07-11 17:57:06,705 - INFO - [Train Regular Models] Epoch [17/25], Train Loss: 0.1759, Val Loss: 0.6868, Train Acc: 0.9785, Val Acc: 0.5705
2026-07-11 17:57:25,811 - INFO - [Train Regular Models] Epoch [18/25], Train Loss: 0.1623, Val Loss: 0.5676, Train Acc: 0.9824, Val Acc: 0.6309
2026-07-11 17:57:25,941 - INFO - [Train Regular Models] Model saved at epoch 18
2026-07-11 17:57:45,067 - INFO - [Train Regular Models] Epoch [19/25], Train Loss: 0.1605, Val Loss: 0.5715, Train Acc: 0.9805, Val Acc: 0.6644
2026-07-11 17:58:04,165 - INFO - [Train Regular Models] Epoch [20/25], Train Loss: 0.1507, Val Loss: 0.6110, Train Acc: 0.9883, Val Acc: 0.5839
2026-07-11 17:58:23,288 - INFO - [Train Regular Models] Epoch [21/25], Train Loss: 0.1483, Val Loss: 0.5008, Train Acc: 0.9727, Val Acc: 0.7114
2026-07-11 17:58:42,404 - INFO - [Train Regular Models] Epoch [22/25], Train Loss: 0.1428, Val Loss: 0.6460, Train Acc: 0.9844, Val Acc: 0.5973
2026-07-11 17:59:01,536 - INFO - [Train Regular Models] Epoch [23/25], Train Loss: 0.1151, Val Loss: 0.5641, Train Acc: 0.9902, Val Acc: 0.6577
2026-07-11 17:59:20,652 - INFO - [Train Regular Models] Epoch [24/25], Train Loss: 0.1215, Val Loss: 0.4305, Train Acc: 0.9785, Val Acc: 0.8188
2026-07-11 17:59:20,789 - INFO - [Train Regular Models] Model saved at epoch 24
2026-07-11 17:59:39,906 - INFO - [Train Regular Models] Epoch [25/25], Train Loss: 0.1190, Val Loss: 0.5340, Train Acc: 0.9883, Val Acc: 0.7517
2026-07-11 17:59:40,857 - INFO - [Train Regular Models] Run 5/30 - Test Loss: 0.4718, Test Accuracy: 0.8763
2026-07-11 17:59:40,947 - INFO - [Train Regular Models] Model saved to outputs/exp1/normal_models/model_5.pt
2026-07-11 17:59:41,222 - INFO - [Train Regular Models] Training model 6/30 (seed 47)...
2026-07-11 18:00:00,422 - INFO - [Train Regular Models] Epoch [1/25], Train Loss: 0.5141, Val Loss: 0.6922, Train Acc: 0.7734, Val Acc: 0.5034
2026-07-11 18:00:19,541 - INFO - [Train Regular Models] Epoch [2/25], Train Loss: 0.4127, Val Loss: 0.6803, Train Acc: 0.9023, Val Acc: 0.5302
2026-07-11 18:00:38,653 - INFO - [Train Regular Models] Epoch [3/25], Train Loss: 0.3657, Val Loss: 0.6142, Train Acc: 0.9355, Val Acc: 0.6107
2026-07-11 18:00:57,758 - INFO - [Train Regular Models] Epoch [4/25], Train Loss: 0.3307, Val Loss: 0.5475, Train Acc: 0.9453, Val Acc: 0.7047
2026-07-11 18:01:16,873 - INFO - [Train Regular Models] Epoch [5/25], Train Loss: 0.3041, Val Loss: 0.5357, Train Acc: 0.9629, Val Acc: 0.8188
2026-07-11 18:01:35,982 - INFO - [Train Regular Models] Epoch [6/25], Train Loss: 0.2725, Val Loss: 0.4781, Train Acc: 0.9707, Val Acc: 0.8322
2026-07-11 18:01:36,123 - INFO - [Train Regular Models] Model saved at epoch 6
2026-07-11 18:01:55,240 - INFO - [Train Regular Models] Epoch [7/25], Train Loss: 0.2548, Val Loss: 0.6973, Train Acc: 0.9688, Val Acc: 0.5638
2026-07-11 18:02:14,351 - INFO - [Train Regular Models] Epoch [8/25], Train Loss: 0.2299, Val Loss: 0.6354, Train Acc: 0.9785, Val Acc: 0.5973
2026-07-11 18:02:33,460 - INFO - [Train Regular Models] Epoch [9/25], Train Loss: 0.2273, Val Loss: 0.6257, Train Acc: 0.9727, Val Acc: 0.6376
2026-07-11 18:02:52,565 - INFO - [Train Regular Models] Epoch [10/25], Train Loss: 0.2126, Val Loss: 0.6764, Train Acc: 0.9766, Val Acc: 0.5839
2026-07-11 18:03:11,684 - INFO - [Train Regular Models] Epoch [11/25], Train Loss: 0.2018, Val Loss: 0.6372, Train Acc: 0.9824, Val Acc: 0.5973
2026-07-11 18:03:30,795 - INFO - [Train Regular Models] Epoch [12/25], Train Loss: 0.1870, Val Loss: 0.7492, Train Acc: 0.9785, Val Acc: 0.5503
2026-07-11 18:03:30,930 - INFO - [Train Regular Models] Model saved at epoch 12
2026-07-11 18:03:50,054 - INFO - [Train Regular Models] Epoch [13/25], Train Loss: 0.1942, Val Loss: 0.6994, Train Acc: 0.9727, Val Acc: 0.5503
2026-07-11 18:04:09,168 - INFO - [Train Regular Models] Epoch [14/25], Train Loss: 0.1756, Val Loss: 0.5906, Train Acc: 0.9766, Val Acc: 0.6779
2026-07-11 18:04:28,273 - INFO - [Train Regular Models] Epoch [15/25], Train Loss: 0.1668, Val Loss: 0.4978, Train Acc: 0.9785, Val Acc: 0.8389
2026-07-11 18:04:47,378 - INFO - [Train Regular Models] Epoch [16/25], Train Loss: 0.1666, Val Loss: 0.7465, Train Acc: 0.9707, Val Acc: 0.5436
2026-07-11 18:05:06,494 - INFO - [Train Regular Models] Epoch [17/25], Train Loss: 0.1414, Val Loss: 0.4410, Train Acc: 0.9863, Val Acc: 0.8322
2026-07-11 18:05:25,620 - INFO - [Train Regular Models] Epoch [18/25], Train Loss: 0.1353, Val Loss: 0.6770, Train Acc: 0.9805, Val Acc: 0.5772
2026-07-11 18:05:25,756 - INFO - [Train Regular Models] Model saved at epoch 18
2026-07-11 18:05:44,870 - INFO - [Train Regular Models] Epoch [19/25], Train Loss: 0.1366, Val Loss: 0.5803, Train Acc: 0.9766, Val Acc: 0.6443
2026-07-11 18:06:04,006 - INFO - [Train Regular Models] Epoch [20/25], Train Loss: 0.1298, Val Loss: 0.5274, Train Acc: 0.9824, Val Acc: 0.7047
2026-07-11 18:06:23,131 - INFO - [Train Regular Models] Epoch [21/25], Train Loss: 0.1109, Val Loss: 0.5441, Train Acc: 0.9805, Val Acc: 0.8054
2026-07-11 18:06:42,255 - INFO - [Train Regular Models] Epoch [22/25], Train Loss: 0.1113, Val Loss: 0.5363, Train Acc: 0.9824, Val Acc: 0.6846
2026-07-11 18:07:01,355 - INFO - [Train Regular Models] Epoch [23/25], Train Loss: 0.1026, Val Loss: 0.6811, Train Acc: 0.9883, Val Acc: 0.5772
2026-07-11 18:07:20,477 - INFO - [Train Regular Models] Epoch [24/25], Train Loss: 0.1134, Val Loss: 0.5008, Train Acc: 0.9844, Val Acc: 0.7718
2026-07-11 18:07:20,607 - INFO - [Train Regular Models] Model saved at epoch 24
2026-07-11 18:07:39,720 - INFO - [Train Regular Models] Epoch [25/25], Train Loss: 0.0996, Val Loss: 0.5273, Train Acc: 0.9766, Val Acc: 0.6980
2026-07-11 18:07:40,667 - INFO - [Train Regular Models] Run 6/30 - Test Loss: 0.4221, Test Accuracy: 0.8041
2026-07-11 18:07:40,762 - INFO - [Train Regular Models] Model saved to outputs/exp1/normal_models/model_6.pt
2026-07-11 18:07:41,037 - INFO - [Train Regular Models] Training model 7/30 (seed 48)...
2026-07-11 18:08:00,235 - INFO - [Train Regular Models] Epoch [1/25], Train Loss: 0.5164, Val Loss: 0.6386, Train Acc: 0.8145, Val Acc: 0.6779
2026-07-11 18:08:19,344 - INFO - [Train Regular Models] Epoch [2/25], Train Loss: 0.4324, Val Loss: 0.7123, Train Acc: 0.9043, Val Acc: 0.4966
2026-07-11 18:08:38,469 - INFO - [Train Regular Models] Epoch [3/25], Train Loss: 0.3855, Val Loss: 0.5962, Train Acc: 0.9414, Val Acc: 0.6242
2026-07-11 18:08:57,600 - INFO - [Train Regular Models] Epoch [4/25], Train Loss: 0.3558, Val Loss: 0.5988, Train Acc: 0.9648, Val Acc: 0.6309
2026-07-11 18:09:16,713 - INFO - [Train Regular Models] Epoch [5/25], Train Loss: 0.3310, Val Loss: 0.5564, Train Acc: 0.9668, Val Acc: 0.7987
2026-07-11 18:09:35,810 - INFO - [Train Regular Models] Epoch [6/25], Train Loss: 0.2951, Val Loss: 0.6136, Train Acc: 0.9805, Val Acc: 0.5839
2026-07-11 18:09:35,952 - INFO - [Train Regular Models] Model saved at epoch 6
2026-07-11 18:09:55,090 - INFO - [Train Regular Models] Epoch [7/25], Train Loss: 0.2939, Val Loss: 0.6287, Train Acc: 0.9824, Val Acc: 0.5906
2026-07-11 18:10:14,211 - INFO - [Train Regular Models] Epoch [8/25], Train Loss: 0.2902, Val Loss: 0.6742, Train Acc: 0.9766, Val Acc: 0.5503
2026-07-11 18:10:33,332 - INFO - [Train Regular Models] Epoch [9/25], Train Loss: 0.2786, Val Loss: 0.6512, Train Acc: 0.9648, Val Acc: 0.5906
2026-07-11 18:10:52,449 - INFO - [Train Regular Models] Epoch [10/25], Train Loss: 0.2565, Val Loss: 0.7182, Train Acc: 0.9824, Val Acc: 0.5369
2026-07-11 18:11:11,572 - INFO - [Train Regular Models] Epoch [11/25], Train Loss: 0.2391, Val Loss: 0.6464, Train Acc: 0.9805, Val Acc: 0.6040
2026-07-11 18:11:30,689 - INFO - [Train Regular Models] Epoch [12/25], Train Loss: 0.2260, Val Loss: 0.6450, Train Acc: 0.9863, Val Acc: 0.5705
2026-07-11 18:11:30,827 - INFO - [Train Regular Models] Model saved at epoch 12
2026-07-11 18:11:49,934 - INFO - [Train Regular Models] Epoch [13/25], Train Loss: 0.2107, Val Loss: 0.6651, Train Acc: 0.9766, Val Acc: 0.5638
2026-07-11 18:12:09,081 - INFO - [Train Regular Models] Epoch [14/25], Train Loss: 0.2067, Val Loss: 0.6599, Train Acc: 0.9746, Val Acc: 0.5839
2026-07-11 18:12:28,206 - INFO - [Train Regular Models] Epoch [15/25], Train Loss: 0.1967, Val Loss: 0.5712, Train Acc: 0.9824, Val Acc: 0.7517
2026-07-11 18:12:47,348 - INFO - [Train Regular Models] Epoch [16/25], Train Loss: 0.1904, Val Loss: 0.7325, Train Acc: 0.9785, Val Acc: 0.5436
2026-07-11 18:13:06,473 - INFO - [Train Regular Models] Epoch [17/25], Train Loss: 0.1725, Val Loss: 0.5683, Train Acc: 0.9785, Val Acc: 0.6174
2026-07-11 18:13:25,590 - INFO - [Train Regular Models] Epoch [18/25], Train Loss: 0.1699, Val Loss: 0.5969, Train Acc: 0.9863, Val Acc: 0.6846
2026-07-11 18:13:25,728 - INFO - [Train Regular Models] Model saved at epoch 18
2026-07-11 18:13:44,843 - INFO - [Train Regular Models] Epoch [19/25], Train Loss: 0.1641, Val Loss: 0.5323, Train Acc: 0.9805, Val Acc: 0.7584
2026-07-11 18:14:03,964 - INFO - [Train Regular Models] Epoch [20/25], Train Loss: 0.1463, Val Loss: 0.5399, Train Acc: 0.9824, Val Acc: 0.7383
2026-07-11 18:14:23,097 - INFO - [Train Regular Models] Epoch [21/25], Train Loss: 0.1403, Val Loss: 0.5935, Train Acc: 0.9785, Val Acc: 0.6309
2026-07-11 18:14:42,213 - INFO - [Train Regular Models] Epoch [22/25], Train Loss: 0.1471, Val Loss: 0.7216, Train Acc: 0.9785, Val Acc: 0.5638
2026-07-11 18:15:01,345 - INFO - [Train Regular Models] Epoch [23/25], Train Loss: 0.1348, Val Loss: 0.5895, Train Acc: 0.9805, Val Acc: 0.6309
2026-07-11 18:15:20,472 - INFO - [Train Regular Models] Epoch [24/25], Train Loss: 0.1333, Val Loss: 0.6047, Train Acc: 0.9824, Val Acc: 0.6174
2026-07-11 18:15:20,603 - INFO - [Train Regular Models] Model saved at epoch 24
2026-07-11 18:15:39,732 - INFO - [Train Regular Models] Epoch [25/25], Train Loss: 0.1230, Val Loss: 0.6697, Train Acc: 0.9824, Val Acc: 0.5705
2026-07-11 18:15:40,680 - INFO - [Train Regular Models] Run 7/30 - Test Loss: 0.5794, Test Accuracy: 0.7320
2026-07-11 18:15:40,776 - INFO - [Train Regular Models] Model saved to outputs/exp1/normal_models/model_7.pt
2026-07-11 18:15:41,051 - INFO - [Train Regular Models] Training model 8/30 (seed 49)...
2026-07-11 18:16:00,266 - INFO - [Train Regular Models] Epoch [1/25], Train Loss: 0.5353, Val Loss: 0.7710, Train Acc: 0.7910, Val Acc: 0.4631
2026-07-11 18:16:19,390 - INFO - [Train Regular Models] Epoch [2/25], Train Loss: 0.4245, Val Loss: 0.6378, Train Acc: 0.9023, Val Acc: 0.5839
2026-07-11 18:16:38,514 - INFO - [Train Regular Models] Epoch [3/25], Train Loss: 0.3918, Val Loss: 0.6729, Train Acc: 0.9336, Val Acc: 0.5302
2026-07-11 18:16:57,656 - INFO - [Train Regular Models] Epoch [4/25], Train Loss: 0.3443, Val Loss: 0.5977, Train Acc: 0.9648, Val Acc: 0.6644
2026-07-11 18:17:16,784 - INFO - [Train Regular Models] Epoch [5/25], Train Loss: 0.3156, Val Loss: 0.6796, Train Acc: 0.9688, Val Acc: 0.5235
2026-07-11 18:17:35,922 - INFO - [Train Regular Models] Epoch [6/25], Train Loss: 0.2963, Val Loss: 0.6736, Train Acc: 0.9727, Val Acc: 0.5503
2026-07-11 18:17:36,062 - INFO - [Train Regular Models] Model saved at epoch 6
2026-07-11 18:17:55,190 - INFO - [Train Regular Models] Epoch [7/25], Train Loss: 0.2572, Val Loss: 0.6176, Train Acc: 0.9824, Val Acc: 0.5839
2026-07-11 18:18:14,314 - INFO - [Train Regular Models] Epoch [8/25], Train Loss: 0.2332, Val Loss: 0.6046, Train Acc: 0.9805, Val Acc: 0.5839
2026-07-11 18:18:33,449 - INFO - [Train Regular Models] Epoch [9/25], Train Loss: 0.2236, Val Loss: 0.6640, Train Acc: 0.9785, Val Acc: 0.5638
2026-07-11 18:18:52,572 - INFO - [Train Regular Models] Epoch [10/25], Train Loss: 0.2005, Val Loss: 0.5722, Train Acc: 0.9844, Val Acc: 0.7114
2026-07-11 18:19:11,696 - INFO - [Train Regular Models] Epoch [11/25], Train Loss: 0.1910, Val Loss: 0.4831, Train Acc: 0.9824, Val Acc: 0.7450
2026-07-11 18:19:30,824 - INFO - [Train Regular Models] Epoch [12/25], Train Loss: 0.1859, Val Loss: 0.6410, Train Acc: 0.9785, Val Acc: 0.5839
2026-07-11 18:19:30,963 - INFO - [Train Regular Models] Model saved at epoch 12
2026-07-11 18:19:50,085 - INFO - [Train Regular Models] Epoch [13/25], Train Loss: 0.1819, Val Loss: 0.5868, Train Acc: 0.9824, Val Acc: 0.6040
2026-07-11 18:20:09,222 - INFO - [Train Regular Models] Epoch [14/25], Train Loss: 0.1653, Val Loss: 0.6094, Train Acc: 0.9844, Val Acc: 0.6443
2026-07-11 18:20:28,390 - INFO - [Train Regular Models] Epoch [15/25], Train Loss: 0.1617, Val Loss: 0.6542, Train Acc: 0.9785, Val Acc: 0.5638
2026-07-11 18:20:47,522 - INFO - [Train Regular Models] Epoch [16/25], Train Loss: 0.1682, Val Loss: 0.6350, Train Acc: 0.9805, Val Acc: 0.5839
2026-07-11 18:21:06,727 - INFO - [Train Regular Models] Epoch [17/25], Train Loss: 0.1457, Val Loss: 0.5852, Train Acc: 0.9844, Val Acc: 0.6242
2026-07-11 18:21:25,924 - INFO - [Train Regular Models] Epoch [18/25], Train Loss: 0.1347, Val Loss: 0.6089, Train Acc: 0.9824, Val Acc: 0.6174
2026-07-11 18:21:26,063 - INFO - [Train Regular Models] Model saved at epoch 18
2026-07-11 18:21:45,239 - INFO - [Train Regular Models] Epoch [19/25], Train Loss: 0.1308, Val Loss: 0.6394, Train Acc: 0.9844, Val Acc: 0.5973
2026-07-11 18:22:04,446 - INFO - [Train Regular Models] Epoch [20/25], Train Loss: 0.1225, Val Loss: 0.6641, Train Acc: 0.9844, Val Acc: 0.5772
2026-07-11 18:22:23,631 - INFO - [Train Regular Models] Epoch [21/25], Train Loss: 0.1241, Val Loss: 0.6569, Train Acc: 0.9844, Val Acc: 0.5772
2026-07-11 18:22:42,827 - INFO - [Train Regular Models] Epoch [22/25], Train Loss: 0.1229, Val Loss: 0.9173, Train Acc: 0.9805, Val Acc: 0.5034
2026-07-11 18:23:02,026 - INFO - [Train Regular Models] Epoch [23/25], Train Loss: 0.1056, Val Loss: 0.5922, Train Acc: 0.9863, Val Acc: 0.6174
2026-07-11 18:23:21,244 - INFO - [Train Regular Models] Epoch [24/25], Train Loss: 0.1079, Val Loss: 0.5426, Train Acc: 0.9785, Val Acc: 0.7517
2026-07-11 18:23:21,380 - INFO - [Train Regular Models] Model saved at epoch 24
2026-07-11 18:23:40,574 - INFO - [Train Regular Models] Epoch [25/25], Train Loss: 0.0936, Val Loss: 0.6826, Train Acc: 0.9883, Val Acc: 0.5705
2026-07-11 18:23:41,532 - INFO - [Train Regular Models] Run 8/30 - Test Loss: 0.4978, Test Accuracy: 0.6804
2026-07-11 18:23:41,627 - INFO - [Train Regular Models] Model saved to outputs/exp1/normal_models/model_8.pt
2026-07-11 18:23:41,902 - INFO - [Train Regular Models] Training model 9/30 (seed 50)...
2026-07-11 18:24:01,156 - INFO - [Train Regular Models] Epoch [1/25], Train Loss: 0.5236, Val Loss: 0.5926, Train Acc: 0.7812, Val Acc: 0.6846
2026-07-11 18:24:20,337 - INFO - [Train Regular Models] Epoch [2/25], Train Loss: 0.3962, Val Loss: 0.6812, Train Acc: 0.9102, Val Acc: 0.5168
2026-07-11 18:24:39,516 - INFO - [Train Regular Models] Epoch [3/25], Train Loss: 0.3519, Val Loss: 0.6816, Train Acc: 0.9492, Val Acc: 0.5034
2026-07-11 18:24:58,703 - INFO - [Train Regular Models] Epoch [4/25], Train Loss: 0.3262, Val Loss: 0.5801, Train Acc: 0.9629, Val Acc: 0.7047
2026-07-11 18:25:17,873 - INFO - [Train Regular Models] Epoch [5/25], Train Loss: 0.2901, Val Loss: 0.6605, Train Acc: 0.9766, Val Acc: 0.5235
2026-07-11 18:25:37,054 - INFO - [Train Regular Models] Epoch [6/25], Train Loss: 0.2788, Val Loss: 0.5806, Train Acc: 0.9766, Val Acc: 0.6644
2026-07-11 18:25:37,194 - INFO - [Train Regular Models] Model saved at epoch 6
2026-07-11 18:25:56,372 - INFO - [Train Regular Models] Epoch [7/25], Train Loss: 0.2540, Val Loss: 0.6450, Train Acc: 0.9805, Val Acc: 0.5503
2026-07-11 18:26:15,546 - INFO - [Train Regular Models] Epoch [8/25], Train Loss: 0.2345, Val Loss: 0.6303, Train Acc: 0.9805, Val Acc: 0.5638
2026-07-11 18:26:34,745 - INFO - [Train Regular Models] Epoch [9/25], Train Loss: 0.2331, Val Loss: 0.6167, Train Acc: 0.9766, Val Acc: 0.5839
2026-07-11 18:26:53,923 - INFO - [Train Regular Models] Epoch [10/25], Train Loss: 0.2303, Val Loss: 0.7665, Train Acc: 0.9746, Val Acc: 0.4966
2026-07-11 18:27:13,122 - INFO - [Train Regular Models] Epoch [11/25], Train Loss: 0.2147, Val Loss: 0.6150, Train Acc: 0.9805, Val Acc: 0.5973
2026-07-11 18:27:32,307 - INFO - [Train Regular Models] Epoch [12/25], Train Loss: 0.1870, Val Loss: 0.6572, Train Acc: 0.9902, Val Acc: 0.5570
2026-07-11 18:27:32,446 - INFO - [Train Regular Models] Model saved at epoch 12
2026-07-11 18:27:51,617 - INFO - [Train Regular Models] Epoch [13/25], Train Loss: 0.1779, Val Loss: 0.5168, Train Acc: 0.9863, Val Acc: 0.7248
2026-07-11 18:28:10,798 - INFO - [Train Regular Models] Epoch [14/25], Train Loss: 0.1587, Val Loss: 0.5729, Train Acc: 0.9863, Val Acc: 0.6242
2026-07-11 18:28:29,983 - INFO - [Train Regular Models] Epoch [15/25], Train Loss: 0.1604, Val Loss: 0.5315, Train Acc: 0.9824, Val Acc: 0.6846
2026-07-11 18:28:49,164 - INFO - [Train Regular Models] Epoch [16/25], Train Loss: 0.1544, Val Loss: 0.5614, Train Acc: 0.9805, Val Acc: 0.7919
2026-07-11 18:29:08,348 - INFO - [Train Regular Models] Epoch [17/25], Train Loss: 0.1484, Val Loss: 0.5914, Train Acc: 0.9805, Val Acc: 0.6174
2026-07-11 18:29:27,536 - INFO - [Train Regular Models] Epoch [18/25], Train Loss: 0.1420, Val Loss: 0.6126, Train Acc: 0.9844, Val Acc: 0.6107
2026-07-11 18:29:27,670 - INFO - [Train Regular Models] Model saved at epoch 18
2026-07-11 18:29:46,867 - INFO - [Train Regular Models] Epoch [19/25], Train Loss: 0.1298, Val Loss: 0.6606, Train Acc: 0.9883, Val Acc: 0.5570
2026-07-11 18:30:06,069 - INFO - [Train Regular Models] Epoch [20/25], Train Loss: 0.1255, Val Loss: 0.6380, Train Acc: 0.9844, Val Acc: 0.5772
2026-07-11 18:30:25,232 - INFO - [Train Regular Models] Epoch [21/25], Train Loss: 0.1161, Val Loss: 0.7966, Train Acc: 0.9844, Val Acc: 0.5235
2026-07-11 18:30:44,426 - INFO - [Train Regular Models] Epoch [22/25], Train Loss: 0.1253, Val Loss: 0.7388, Train Acc: 0.9863, Val Acc: 0.5638
2026-07-11 18:31:03,610 - INFO - [Train Regular Models] Epoch [23/25], Train Loss: 0.1266, Val Loss: 0.7138, Train Acc: 0.9805, Val Acc: 0.5772
2026-07-11 18:31:22,791 - INFO - [Train Regular Models] Epoch [24/25], Train Loss: 0.1163, Val Loss: 0.5862, Train Acc: 0.9824, Val Acc: 0.6040
2026-07-11 18:31:22,931 - INFO - [Train Regular Models] Model saved at epoch 24
2026-07-11 18:31:42,116 - INFO - [Train Regular Models] Epoch [25/25], Train Loss: 0.1095, Val Loss: 0.5891, Train Acc: 0.9844, Val Acc: 0.7181
2026-07-11 18:31:43,060 - INFO - [Train Regular Models] Run 9/30 - Test Loss: 0.5355, Test Accuracy: 0.8247
2026-07-11 18:31:43,151 - INFO - [Train Regular Models] Model saved to outputs/exp1/normal_models/model_9.pt
2026-07-11 18:37:08,912 - INFO - [Train Regular Models] Training model 10/30 (seed 51)...
2026-07-11 18:37:27,837 - INFO - [Train Regular Models] Epoch [1/25], Train Loss: 0.6733, Val Loss: 0.6708, Train Acc: 0.5781, Val Acc: 0.5034
2026-07-11 18:37:46,771 - INFO - [Train Regular Models] Epoch [2/25], Train Loss: 0.5692, Val Loss: 0.6971, Train Acc: 0.6875, Val Acc: 0.4631
2026-07-11 18:38:05,800 - INFO - [Train Regular Models] Epoch [3/25], Train Loss: 0.5258, Val Loss: 0.6203, Train Acc: 0.7637, Val Acc: 0.6309
2026-07-11 18:38:24,822 - INFO - [Train Regular Models] Epoch [4/25], Train Loss: 0.4635, Val Loss: 0.7013, Train Acc: 0.8516, Val Acc: 0.4899
2026-07-11 18:38:43,853 - INFO - [Train Regular Models] Epoch [5/25], Train Loss: 0.4357, Val Loss: 0.5689, Train Acc: 0.8887, Val Acc: 0.7718
2026-07-11 18:39:03,000 - INFO - [Train Regular Models] Epoch [6/25], Train Loss: 0.4069, Val Loss: 0.5056, Train Acc: 0.9180, Val Acc: 0.8658
2026-07-11 18:39:03,138 - INFO - [Train Regular Models] Model saved at epoch 6
2026-07-11 18:39:22,286 - INFO - [Train Regular Models] Epoch [7/25], Train Loss: 0.3851, Val Loss: 0.6075, Train Acc: 0.9316, Val Acc: 0.5906
2026-07-11 18:39:41,405 - INFO - [Train Regular Models] Epoch [8/25], Train Loss: 0.3462, Val Loss: 0.6057, Train Acc: 0.9590, Val Acc: 0.6174
2026-07-11 18:40:00,560 - INFO - [Train Regular Models] Epoch [9/25], Train Loss: 0.3491, Val Loss: 0.6387, Train Acc: 0.9570, Val Acc: 0.5369
2026-07-11 18:40:19,701 - INFO - [Train Regular Models] Epoch [10/25], Train Loss: 0.3229, Val Loss: 0.5211, Train Acc: 0.9648, Val Acc: 0.7047
2026-07-11 18:40:38,841 - INFO - [Train Regular Models] Epoch [11/25], Train Loss: 0.3296, Val Loss: 0.5430, Train Acc: 0.9512, Val Acc: 0.8456
2026-07-11 18:40:58,000 - INFO - [Train Regular Models] Epoch [12/25], Train Loss: 0.2946, Val Loss: 0.5166, Train Acc: 0.9668, Val Acc: 0.8054
2026-07-11 18:40:58,139 - INFO - [Train Regular Models] Model saved at epoch 12
2026-07-11 18:41:17,300 - INFO - [Train Regular Models] Epoch [13/25], Train Loss: 0.2577, Val Loss: 0.5889, Train Acc: 0.9805, Val Acc: 0.6577
2026-07-11 18:41:36,452 - INFO - [Train Regular Models] Epoch [14/25], Train Loss: 0.2543, Val Loss: 0.5538, Train Acc: 0.9668, Val Acc: 0.7248
2026-07-11 18:41:55,623 - INFO - [Train Regular Models] Epoch [15/25], Train Loss: 0.2309, Val Loss: 0.4951, Train Acc: 0.9766, Val Acc: 0.7584
2026-07-11 18:42:14,806 - INFO - [Train Regular Models] Epoch [16/25], Train Loss: 0.2272, Val Loss: 0.4765, Train Acc: 0.9766, Val Acc: 0.7987
2026-07-11 18:42:33,987 - INFO - [Train Regular Models] Epoch [17/25], Train Loss: 0.2136, Val Loss: 0.5658, Train Acc: 0.9766, Val Acc: 0.6980
2026-07-11 18:42:53,179 - INFO - [Train Regular Models] Epoch [18/25], Train Loss: 0.1983, Val Loss: 0.5043, Train Acc: 0.9883, Val Acc: 0.7114
2026-07-11 18:42:53,323 - INFO - [Train Regular Models] Model saved at epoch 18
2026-07-11 18:43:12,518 - INFO - [Train Regular Models] Epoch [19/25], Train Loss: 0.1839, Val Loss: 0.4689, Train Acc: 0.9785, Val Acc: 0.8725
2026-07-11 18:43:31,746 - INFO - [Train Regular Models] Epoch [20/25], Train Loss: 0.1829, Val Loss: 0.5306, Train Acc: 0.9805, Val Acc: 0.6644
2026-07-11 18:43:50,952 - INFO - [Train Regular Models] Epoch [21/25], Train Loss: 0.1772, Val Loss: 0.5541, Train Acc: 0.9648, Val Acc: 0.6846
2026-07-11 18:44:10,164 - INFO - [Train Regular Models] Epoch [22/25], Train Loss: 0.1562, Val Loss: 0.5208, Train Acc: 0.9863, Val Acc: 0.6779
2026-07-11 18:44:29,364 - INFO - [Train Regular Models] Epoch [23/25], Train Loss: 0.1637, Val Loss: 0.4315, Train Acc: 0.9824, Val Acc: 0.8456
2026-07-11 18:44:48,548 - INFO - [Train Regular Models] Epoch [24/25], Train Loss: 0.1470, Val Loss: 0.4674, Train Acc: 0.9824, Val Acc: 0.8523
2026-07-11 18:44:48,687 - INFO - [Train Regular Models] Model saved at epoch 24
2026-07-11 18:45:07,877 - INFO - [Train Regular Models] Epoch [25/25], Train Loss: 0.1354, Val Loss: 0.4776, Train Acc: 0.9844, Val Acc: 0.8725
2026-07-11 18:45:08,824 - INFO - [Train Regular Models] Run 10/30 - Test Loss: 0.4451, Test Accuracy: 0.9072
2026-07-11 18:45:08,917 - INFO - [Train Regular Models] Model saved to outputs/exp1/normal_models/model_10.pt
2026-07-11 18:45:09,202 - INFO - [Train Regular Models] Training model 11/30 (seed 52)...
2026-07-11 18:45:28,488 - INFO - [Train Regular Models] Epoch [1/25], Train Loss: 0.5672, Val Loss: 0.6784, Train Acc: 0.7871, Val Acc: 0.4698
2026-07-11 18:45:47,680 - INFO - [Train Regular Models] Epoch [2/25], Train Loss: 0.4878, Val Loss: 0.6600, Train Acc: 0.8789, Val Acc: 0.6913
2026-07-11 18:46:06,864 - INFO - [Train Regular Models] Epoch [3/25], Train Loss: 0.4505, Val Loss: 0.6423, Train Acc: 0.9355, Val Acc: 0.5772
2026-07-11 18:52:27,357 - INFO - [Train Regular Models] Epoch [4/25], Train Loss: 0.4033, Val Loss: 0.7084, Train Acc: 0.9570, Val Acc: 0.5369
2026-07-11 18:52:46,216 - INFO - [Train Regular Models] Epoch [5/25], Train Loss: 0.3808, Val Loss: 0.6491, Train Acc: 0.9609, Val Acc: 0.5839
2026-07-11 18:53:05,185 - INFO - [Train Regular Models] Epoch [6/25], Train Loss: 0.3592, Val Loss: 0.5935, Train Acc: 0.9727, Val Acc: 0.6644
2026-07-11 18:53:05,327 - INFO - [Train Regular Models] Model saved at epoch 6
2026-07-11 18:53:24,362 - INFO - [Train Regular Models] Epoch [7/25], Train Loss: 0.3378, Val Loss: 0.5899, Train Acc: 0.9707, Val Acc: 0.6376
2026-07-11 18:53:43,394 - INFO - [Train Regular Models] Epoch [8/25], Train Loss: 0.3373, Val Loss: 0.7925, Train Acc: 0.9668, Val Acc: 0.4631
2026-07-11 18:54:02,442 - INFO - [Train Regular Models] Epoch [9/25], Train Loss: 0.3003, Val Loss: 0.6956, Train Acc: 0.9746, Val Acc: 0.5772
2026-07-11 18:54:21,588 - INFO - [Train Regular Models] Epoch [10/25], Train Loss: 0.2910, Val Loss: 0.6695, Train Acc: 0.9727, Val Acc: 0.5436
2026-07-11 18:54:40,725 - INFO - [Train Regular Models] Epoch [11/25], Train Loss: 0.2666, Val Loss: 0.6023, Train Acc: 0.9824, Val Acc: 0.6711
2026-07-11 18:54:59,864 - INFO - [Train Regular Models] Epoch [12/25], Train Loss: 0.2490, Val Loss: 0.6353, Train Acc: 0.9766, Val Acc: 0.5906
2026-07-11 18:55:00,001 - INFO - [Train Regular Models] Model saved at epoch 12
2026-07-11 18:58:54,530 - INFO - [Train Regular Models] Epoch [13/25], Train Loss: 0.2373, Val Loss: 0.6842, Train Acc: 0.9805, Val Acc: 0.5772
2026-07-11 18:59:13,381 - INFO - [Train Regular Models] Epoch [14/25], Train Loss: 0.2306, Val Loss: 0.5922, Train Acc: 0.9727, Val Acc: 0.6644
2026-07-11 18:59:32,340 - INFO - [Train Regular Models] Epoch [15/25], Train Loss: 0.2102, Val Loss: 0.6428, Train Acc: 0.9824, Val Acc: 0.5906
2026-07-11 18:59:51,375 - INFO - [Train Regular Models] Epoch [16/25], Train Loss: 0.2028, Val Loss: 0.6415, Train Acc: 0.9785, Val Acc: 0.5973
2026-07-11 19:00:10,420 - INFO - [Train Regular Models] Epoch [17/25], Train Loss: 0.1928, Val Loss: 0.7058, Train Acc: 0.9883, Val Acc: 0.5436
2026-07-11 19:00:29,595 - INFO - [Train Regular Models] Epoch [18/25], Train Loss: 0.1817, Val Loss: 0.6203, Train Acc: 0.9844, Val Acc: 0.6040
2026-07-11 19:00:29,736 - INFO - [Train Regular Models] Model saved at epoch 18
2026-07-11 19:00:48,820 - INFO - [Train Regular Models] Epoch [19/25], Train Loss: 0.1696, Val Loss: 0.5035, Train Acc: 0.9824, Val Acc: 0.8591
2026-07-11 19:01:07,969 - INFO - [Train Regular Models] Epoch [20/25], Train Loss: 0.1706, Val Loss: 0.8662, Train Acc: 0.9863, Val Acc: 0.5101
2026-07-11 19:01:27,136 - INFO - [Train Regular Models] Epoch [21/25], Train Loss: 0.1634, Val Loss: 0.6515, Train Acc: 0.9824, Val Acc: 0.5772
2026-07-11 19:05:38,763 - INFO - [Train Regular Models] Epoch [22/25], Train Loss: 0.1560, Val Loss: 0.5804, Train Acc: 0.9805, Val Acc: 0.6644
2026-07-11 19:05:57,573 - INFO - [Train Regular Models] Epoch [23/25], Train Loss: 0.1455, Val Loss: 0.7423, Train Acc: 0.9805, Val Acc: 0.5302
2026-07-11 19:06:16,520 - INFO - [Train Regular Models] Epoch [24/25], Train Loss: 0.1248, Val Loss: 0.6014, Train Acc: 0.9883, Val Acc: 0.6040
2026-07-11 19:06:16,656 - INFO - [Train Regular Models] Model saved at epoch 24
2026-07-11 19:06:35,674 - INFO - [Train Regular Models] Epoch [25/25], Train Loss: 0.1290, Val Loss: 0.4752, Train Acc: 0.9844, Val Acc: 0.8523
2026-07-11 19:06:36,612 - INFO - [Train Regular Models] Run 11/30 - Test Loss: 0.4028, Test Accuracy: 0.9072
2026-07-11 19:06:36,707 - INFO - [Train Regular Models] Model saved to outputs/exp1/normal_models/model_11.pt
2026-07-11 19:06:36,984 - INFO - [Train Regular Models] Training model 12/30 (seed 53)...
2026-07-11 19:06:56,109 - INFO - [Train Regular Models] Epoch [1/25], Train Loss: 0.5125, Val Loss: 0.5527, Train Acc: 0.8125, Val Acc: 0.8054
2026-07-11 19:07:15,160 - INFO - [Train Regular Models] Epoch [2/25], Train Loss: 0.3654, Val Loss: 0.7072, Train Acc: 0.9121, Val Acc: 0.5302
2026-07-11 19:07:34,272 - INFO - [Train Regular Models] Epoch [3/25], Train Loss: 0.3057, Val Loss: 0.6426, Train Acc: 0.9629, Val Acc: 0.5839
2026-07-11 19:10:05,050 - INFO - [Train Regular Models] Epoch [4/25], Train Loss: 0.2783, Val Loss: 0.5515, Train Acc: 0.9746, Val Acc: 0.7114
2026-07-11 19:10:23,953 - INFO - [Train Regular Models] Epoch [5/25], Train Loss: 0.2587, Val Loss: 0.5722, Train Acc: 0.9746, Val Acc: 0.7651
2026-07-11 19:10:42,979 - INFO - [Train Regular Models] Epoch [6/25], Train Loss: 0.2344, Val Loss: 0.5992, Train Acc: 0.9785, Val Acc: 0.6711
2026-07-11 19:10:43,120 - INFO - [Train Regular Models] Model saved at epoch 6
2026-07-11 19:11:02,182 - INFO - [Train Regular Models] Epoch [7/25], Train Loss: 0.2183, Val Loss: 0.6882, Train Acc: 0.9785, Val Acc: 0.5302
2026-07-11 19:11:21,299 - INFO - [Train Regular Models] Epoch [8/25], Train Loss: 0.2014, Val Loss: 0.6170, Train Acc: 0.9805, Val Acc: 0.5570
2026-07-11 19:11:40,416 - INFO - [Train Regular Models] Epoch [9/25], Train Loss: 0.1720, Val Loss: 0.4751, Train Acc: 0.9805, Val Acc: 0.8121
2026-07-11 19:11:59,540 - INFO - [Train Regular Models] Epoch [10/25], Train Loss: 0.1662, Val Loss: 0.6713, Train Acc: 0.9766, Val Acc: 0.5705
2026-07-11 19:12:18,687 - INFO - [Train Regular Models] Epoch [11/25], Train Loss: 0.1637, Val Loss: 0.6442, Train Acc: 0.9824, Val Acc: 0.5772
2026-07-11 19:12:37,824 - INFO - [Train Regular Models] Epoch [12/25], Train Loss: 0.1592, Val Loss: 0.6208, Train Acc: 0.9746, Val Acc: 0.5973
2026-07-11 19:12:37,963 - INFO - [Train Regular Models] Model saved at epoch 12
2026-07-11 19:25:57,959 - INFO - [Train Regular Models] Epoch [13/25], Train Loss: 0.1496, Val Loss: 0.6594, Train Acc: 0.9805, Val Acc: 0.5906
2026-07-11 19:26:16,807 - INFO - [Train Regular Models] Epoch [14/25], Train Loss: 0.1330, Val Loss: 0.6419, Train Acc: 0.9844, Val Acc: 0.5570
2026-07-11 19:26:35,785 - INFO - [Train Regular Models] Epoch [15/25], Train Loss: 0.1248, Val Loss: 0.6505, Train Acc: 0.9844, Val Acc: 0.5772
2026-07-11 19:26:54,792 - INFO - [Train Regular Models] Epoch [16/25], Train Loss: 0.1210, Val Loss: 0.6652, Train Acc: 0.9863, Val Acc: 0.5705
2026-07-11 19:27:13,837 - INFO - [Train Regular Models] Epoch [17/25], Train Loss: 0.1180, Val Loss: 0.6133, Train Acc: 0.9746, Val Acc: 0.5973
2026-07-11 19:27:32,954 - INFO - [Train Regular Models] Epoch [18/25], Train Loss: 0.1048, Val Loss: 0.6281, Train Acc: 0.9766, Val Acc: 0.5906
2026-07-11 19:27:33,095 - INFO - [Train Regular Models] Model saved at epoch 18
2026-07-11 19:27:52,222 - INFO - [Train Regular Models] Epoch [19/25], Train Loss: 0.1154, Val Loss: 0.5426, Train Acc: 0.9805, Val Acc: 0.6577
2026-07-11 19:28:11,355 - INFO - [Train Regular Models] Epoch [20/25], Train Loss: 0.1009, Val Loss: 0.5138, Train Acc: 0.9863, Val Acc: 0.7718
2026-07-11 19:28:30,476 - INFO - [Train Regular Models] Epoch [21/25], Train Loss: 0.1120, Val Loss: 0.6216, Train Acc: 0.9727, Val Acc: 0.6107
2026-07-11 19:41:59,053 - INFO - [Train Regular Models] Epoch [22/25], Train Loss: 0.1096, Val Loss: 0.5530, Train Acc: 0.9785, Val Acc: 0.7718
2026-07-11 19:42:17,881 - INFO - [Train Regular Models] Epoch [23/25], Train Loss: 0.0992, Val Loss: 0.5364, Train Acc: 0.9824, Val Acc: 0.6980
2026-07-11 19:42:36,826 - INFO - [Train Regular Models] Epoch [24/25], Train Loss: 0.0881, Val Loss: 0.4558, Train Acc: 0.9805, Val Acc: 0.8658
2026-07-11 19:42:36,966 - INFO - [Train Regular Models] Model saved at epoch 24
2026-07-11 19:42:55,976 - INFO - [Train Regular Models] Epoch [25/25], Train Loss: 0.0808, Val Loss: 0.5364, Train Acc: 0.9785, Val Acc: 0.6644
2026-07-11 19:42:56,918 - INFO - [Train Regular Models] Run 12/30 - Test Loss: 0.4198, Test Accuracy: 0.7938
2026-07-11 19:42:57,014 - INFO - [Train Regular Models] Model saved to outputs/exp1/normal_models/model_12.pt
2026-07-11 19:42:57,289 - INFO - [Train Regular Models] Training model 13/30 (seed 54)...
2026-07-11 19:43:16,403 - INFO - [Train Regular Models] Epoch [1/25], Train Loss: 0.5604, Val Loss: 0.7035, Train Acc: 0.7500, Val Acc: 0.5034
2026-07-11 19:43:35,502 - INFO - [Train Regular Models] Epoch [2/25], Train Loss: 0.4167, Val Loss: 0.7262, Train Acc: 0.9141, Val Acc: 0.4966
2026-07-11 19:43:54,609 - INFO - [Train Regular Models] Epoch [3/25], Train Loss: 0.3872, Val Loss: 0.5914, Train Acc: 0.9277, Val Acc: 0.5705
2026-07-11 19:44:13,732 - INFO - [Train Regular Models] Epoch [4/25], Train Loss: 0.3275, Val Loss: 0.6093, Train Acc: 0.9648, Val Acc: 0.5973
2026-07-11 19:49:14,891 - INFO - [Train Regular Models] Epoch [5/25], Train Loss: 0.2832, Val Loss: 0.5354, Train Acc: 0.9668, Val Acc: 0.6779
2026-07-11 19:49:33,706 - INFO - [Train Regular Models] Epoch [6/25], Train Loss: 0.2535, Val Loss: 0.5107, Train Acc: 0.9766, Val Acc: 0.8725
2026-07-11 19:49:33,846 - INFO - [Train Regular Models] Model saved at epoch 6
2026-07-11 19:49:52,805 - INFO - [Train Regular Models] Epoch [7/25], Train Loss: 0.2400, Val Loss: 0.5372, Train Acc: 0.9785, Val Acc: 0.7852
2026-07-11 19:50:11,793 - INFO - [Train Regular Models] Epoch [8/25], Train Loss: 0.2181, Val Loss: 0.5725, Train Acc: 0.9766, Val Acc: 0.6644
2026-07-11 19:50:30,888 - INFO - [Train Regular Models] Epoch [9/25], Train Loss: 0.2041, Val Loss: 0.7876, Train Acc: 0.9746, Val Acc: 0.5235
2026-07-11 19:50:50,010 - INFO - [Train Regular Models] Epoch [10/25], Train Loss: 0.2067, Val Loss: 0.5491, Train Acc: 0.9766, Val Acc: 0.7785
2026-07-11 19:51:09,131 - INFO - [Train Regular Models] Epoch [11/25], Train Loss: 0.1787, Val Loss: 0.5479, Train Acc: 0.9824, Val Acc: 0.6711
2026-07-11 19:51:28,250 - INFO - [Train Regular Models] Epoch [12/25], Train Loss: 0.1666, Val Loss: 0.4755, Train Acc: 0.9727, Val Acc: 0.8054
2026-07-11 19:51:28,390 - INFO - [Train Regular Models] Model saved at epoch 12
2026-07-11 19:51:47,496 - INFO - [Train Regular Models] Epoch [13/25], Train Loss: 0.1623, Val Loss: 0.5225, Train Acc: 0.9805, Val Acc: 0.6980
2026-07-11 19:52:06,621 - INFO - [Train Regular Models] Epoch [14/25], Train Loss: 0.1498, Val Loss: 0.5812, Train Acc: 0.9805, Val Acc: 0.6443
2026-07-11 20:01:22,120 - INFO - [Train Regular Models] Epoch [15/25], Train Loss: 0.1282, Val Loss: 0.6408, Train Acc: 0.9863, Val Acc: 0.5705
2026-07-11 20:01:40,960 - INFO - [Train Regular Models] Epoch [16/25], Train Loss: 0.1285, Val Loss: 0.6974, Train Acc: 0.9844, Val Acc: 0.5570
2026-07-11 20:01:59,927 - INFO - [Train Regular Models] Epoch [17/25], Train Loss: 0.1274, Val Loss: 0.4777, Train Acc: 0.9766, Val Acc: 0.8591
2026-07-11 20:02:18,942 - INFO - [Train Regular Models] Epoch [18/25], Train Loss: 0.1209, Val Loss: 0.5509, Train Acc: 0.9766, Val Acc: 0.6443
2026-07-11 20:02:19,087 - INFO - [Train Regular Models] Model saved at epoch 18
2026-07-11 20:02:38,128 - INFO - [Train Regular Models] Epoch [19/25], Train Loss: 0.1197, Val Loss: 0.7449, Train Acc: 0.9746, Val Acc: 0.5302
2026-07-11 20:02:57,201 - INFO - [Train Regular Models] Epoch [20/25], Train Loss: 0.1350, Val Loss: 0.5942, Train Acc: 0.9727, Val Acc: 0.5906
2026-07-11 20:03:16,329 - INFO - [Train Regular Models] Epoch [21/25], Train Loss: 0.1222, Val Loss: 0.4635, Train Acc: 0.9727, Val Acc: 0.8255
2026-07-11 20:03:35,453 - INFO - [Train Regular Models] Epoch [22/25], Train Loss: 0.1070, Val Loss: 0.4686, Train Acc: 0.9824, Val Acc: 0.8322
2026-07-11 20:03:54,589 - INFO - [Train Regular Models] Epoch [23/25], Train Loss: 0.1170, Val Loss: 0.4558, Train Acc: 0.9805, Val Acc: 0.8322
2026-07-11 20:07:23,271 - INFO - [Train Regular Models] Epoch [24/25], Train Loss: 0.0928, Val Loss: 0.6549, Train Acc: 0.9863, Val Acc: 0.5705
2026-07-11 20:07:23,408 - INFO - [Train Regular Models] Model saved at epoch 24
2026-07-11 20:07:42,233 - INFO - [Train Regular Models] Epoch [25/25], Train Loss: 0.0970, Val Loss: 0.4484, Train Acc: 0.9785, Val Acc: 0.8255
2026-07-11 20:07:43,161 - INFO - [Train Regular Models] Run 13/30 - Test Loss: 0.4175, Test Accuracy: 0.8763
2026-07-11 20:07:43,255 - INFO - [Train Regular Models] Model saved to outputs/exp1/normal_models/model_13.pt
2026-07-11 20:07:43,533 - INFO - [Train Regular Models] Training model 14/30 (seed 55)...
2026-07-11 20:08:02,574 - INFO - [Train Regular Models] Epoch [1/25], Train Loss: 0.5132, Val Loss: 0.7031, Train Acc: 0.7754, Val Acc: 0.5168
2026-07-11 20:08:21,602 - INFO - [Train Regular Models] Epoch [2/25], Train Loss: 0.3539, Val Loss: 0.5490, Train Acc: 0.9219, Val Acc: 0.7181
2026-07-11 20:08:40,643 - INFO - [Train Regular Models] Epoch [3/25], Train Loss: 0.3377, Val Loss: 0.7173, Train Acc: 0.9199, Val Acc: 0.5436
2026-07-11 20:08:59,682 - INFO - [Train Regular Models] Epoch [4/25], Train Loss: 0.2820, Val Loss: 0.5580, Train Acc: 0.9551, Val Acc: 0.7181
2026-07-11 20:09:18,771 - INFO - [Train Regular Models] Epoch [5/25], Train Loss: 0.2466, Val Loss: 1.0746, Train Acc: 0.9688, Val Acc: 0.4899
2026-07-11 20:09:37,921 - INFO - [Train Regular Models] Epoch [6/25], Train Loss: 0.2091, Val Loss: 0.4823, Train Acc: 0.9746, Val Acc: 0.7987
2026-07-11 20:09:38,062 - INFO - [Train Regular Models] Model saved at epoch 6
2026-07-11 20:09:57,212 - INFO - [Train Regular Models] Epoch [7/25], Train Loss: 0.2163, Val Loss: 0.5716, Train Acc: 0.9785, Val Acc: 0.6107
2026-07-11 20:15:01,369 - INFO - [Train Regular Models] Epoch [8/25], Train Loss: 0.1882, Val Loss: 0.5855, Train Acc: 0.9766, Val Acc: 0.6779
2026-07-11 20:15:20,184 - INFO - [Train Regular Models] Epoch [9/25], Train Loss: 0.1665, Val Loss: 0.7322, Train Acc: 0.9844, Val Acc: 0.5705
2026-07-11 20:15:39,115 - INFO - [Train Regular Models] Epoch [10/25], Train Loss: 0.1663, Val Loss: 0.5393, Train Acc: 0.9766, Val Acc: 0.7919
2026-07-11 20:15:58,133 - INFO - [Train Regular Models] Epoch [11/25], Train Loss: 0.1694, Val Loss: 0.7337, Train Acc: 0.9766, Val Acc: 0.5705
2026-07-11 20:16:17,177 - INFO - [Train Regular Models] Epoch [12/25], Train Loss: 0.1585, Val Loss: 0.6321, Train Acc: 0.9746, Val Acc: 0.6040
2026-07-11 20:16:17,310 - INFO - [Train Regular Models] Model saved at epoch 12
2026-07-11 20:16:36,349 - INFO - [Train Regular Models] Epoch [13/25], Train Loss: 0.1335, Val Loss: 0.4453, Train Acc: 0.9824, Val Acc: 0.8188
2026-07-11 20:16:55,398 - INFO - [Train Regular Models] Epoch [14/25], Train Loss: 0.1404, Val Loss: 0.4937, Train Acc: 0.9707, Val Acc: 0.8322
2026-07-11 20:17:14,473 - INFO - [Train Regular Models] Epoch [15/25], Train Loss: 0.1227, Val Loss: 0.6524, Train Acc: 0.9863, Val Acc: 0.5839
2026-07-11 20:17:33,572 - INFO - [Train Regular Models] Epoch [16/25], Train Loss: 0.1110, Val Loss: 0.4785, Train Acc: 0.9824, Val Acc: 0.7315
2026-07-11 20:17:52,741 - INFO - [Train Regular Models] Epoch [17/25], Train Loss: 0.1115, Val Loss: 0.5094, Train Acc: 0.9766, Val Acc: 0.8054
2026-07-11 20:18:11,900 - INFO - [Train Regular Models] Epoch [18/25], Train Loss: 0.1005, Val Loss: 0.4481, Train Acc: 0.9824, Val Acc: 0.8121
2026-07-11 20:18:12,041 - INFO - [Train Regular Models] Model saved at epoch 18
2026-07-11 20:18:31,176 - INFO - [Train Regular Models] Epoch [19/25], Train Loss: 0.1038, Val Loss: 0.5140, Train Acc: 0.9785, Val Acc: 0.7047
2026-07-11 20:18:50,327 - INFO - [Train Regular Models] Epoch [20/25], Train Loss: 0.1105, Val Loss: 0.5963, Train Acc: 0.9785, Val Acc: 0.6443
2026-07-11 20:24:19,639 - INFO - [Train Regular Models] Epoch [21/25], Train Loss: 0.1102, Val Loss: 0.7101, Train Acc: 0.9824, Val Acc: 0.5638
2026-07-11 20:24:38,555 - INFO - [Train Regular Models] Epoch [22/25], Train Loss: 0.0939, Val Loss: 1.0456, Train Acc: 0.9863, Val Acc: 0.5302
2026-07-11 20:24:57,527 - INFO - [Train Regular Models] Epoch [23/25], Train Loss: 0.1027, Val Loss: 0.4878, Train Acc: 0.9766, Val Acc: 0.7651
2026-07-11 20:25:16,571 - INFO - [Train Regular Models] Epoch [24/25], Train Loss: 0.0986, Val Loss: 0.6857, Train Acc: 0.9766, Val Acc: 0.6443
2026-07-11 20:25:16,709 - INFO - [Train Regular Models] Model saved at epoch 24
2026-07-11 20:25:35,770 - INFO - [Train Regular Models] Epoch [25/25], Train Loss: 0.1035, Val Loss: 0.4857, Train Acc: 0.9785, Val Acc: 0.8456
2026-07-11 20:25:36,720 - INFO - [Train Regular Models] Run 14/30 - Test Loss: 0.4498, Test Accuracy: 0.8660
2026-07-11 20:25:36,815 - INFO - [Train Regular Models] Model saved to outputs/exp1/normal_models/model_14.pt
2026-07-11 20:25:37,093 - INFO - [Train Regular Models] Training model 15/30 (seed 56)...
2026-07-11 20:25:56,254 - INFO - [Train Regular Models] Epoch [1/25], Train Loss: 0.6170, Val Loss: 0.6817, Train Acc: 0.6699, Val Acc: 0.6376
2026-07-11 20:26:15,314 - INFO - [Train Regular Models] Epoch [2/25], Train Loss: 0.4940, Val Loss: 0.6830, Train Acc: 0.8418, Val Acc: 0.5101
2026-07-11 20:40:04,854 - INFO - [Train Regular Models] Epoch [3/25], Train Loss: 0.4373, Val Loss: 0.6151, Train Acc: 0.9062, Val Acc: 0.7584
2026-07-11 20:40:23,660 - INFO - [Train Regular Models] Epoch [4/25], Train Loss: 0.3947, Val Loss: 0.6188, Train Acc: 0.9355, Val Acc: 0.5772
2026-07-11 20:40:42,588 - INFO - [Train Regular Models] Epoch [5/25], Train Loss: 0.3652, Val Loss: 0.6134, Train Acc: 0.9648, Val Acc: 0.7450
2026-07-11 20:41:01,622 - INFO - [Train Regular Models] Epoch [6/25], Train Loss: 0.3290, Val Loss: 0.6964, Train Acc: 0.9824, Val Acc: 0.5034
2026-07-11 20:41:01,762 - INFO - [Train Regular Models] Model saved at epoch 6
2026-07-11 20:41:20,786 - INFO - [Train Regular Models] Epoch [7/25], Train Loss: 0.3117, Val Loss: 0.5410, Train Acc: 0.9746, Val Acc: 0.7047
2026-07-11 20:41:39,871 - INFO - [Train Regular Models] Epoch [8/25], Train Loss: 0.2876, Val Loss: 1.1156, Train Acc: 0.9785, Val Acc: 0.4832
2026-07-11 20:41:59,009 - INFO - [Train Regular Models] Epoch [9/25], Train Loss: 0.2731, Val Loss: 0.6658, Train Acc: 0.9785, Val Acc: 0.5570
2026-07-11 20:42:18,127 - INFO - [Train Regular Models] Epoch [10/25], Train Loss: 0.2459, Val Loss: 0.5126, Train Acc: 0.9824, Val Acc: 0.8389
2026-07-11 20:42:37,238 - INFO - [Train Regular Models] Epoch [11/25], Train Loss: 0.2483, Val Loss: 0.8604, Train Acc: 0.9766, Val Acc: 0.5034
2026-07-11 20:49:24,228 - INFO - [Train Regular Models] Epoch [12/25], Train Loss: 0.2279, Val Loss: 0.6249, Train Acc: 0.9805, Val Acc: 0.5772
2026-07-11 20:49:24,366 - INFO - [Train Regular Models] Model saved at epoch 12
2026-07-11 20:49:43,169 - INFO - [Train Regular Models] Epoch [13/25], Train Loss: 0.2000, Val Loss: 0.5724, Train Acc: 0.9863, Val Acc: 0.6040
2026-07-11 20:50:02,102 - INFO - [Train Regular Models] Epoch [14/25], Train Loss: 0.2157, Val Loss: 0.7458, Train Acc: 0.9824, Val Acc: 0.5503
2026-07-11 20:50:21,113 - INFO - [Train Regular Models] Epoch [15/25], Train Loss: 0.1976, Val Loss: 0.8361, Train Acc: 0.9727, Val Acc: 0.5302
2026-07-11 20:50:40,162 - INFO - [Train Regular Models] Epoch [16/25], Train Loss: 0.1762, Val Loss: 0.7171, Train Acc: 0.9844, Val Acc: 0.5570
2026-07-11 20:50:59,196 - INFO - [Train Regular Models] Epoch [17/25], Train Loss: 0.1665, Val Loss: 0.7115, Train Acc: 0.9863, Val Acc: 0.5705
2026-07-11 20:51:18,228 - INFO - [Train Regular Models] Epoch [18/25], Train Loss: 0.1713, Val Loss: 0.6259, Train Acc: 0.9746, Val Acc: 0.5973
2026-07-11 20:51:18,367 - INFO - [Train Regular Models] Model saved at epoch 18
2026-07-11 20:51:37,430 - INFO - [Train Regular Models] Epoch [19/25], Train Loss: 0.1559, Val Loss: 0.6990, Train Acc: 0.9805, Val Acc: 0.5503
2026-07-11 20:51:56,516 - INFO - [Train Regular Models] Epoch [20/25], Train Loss: 0.1573, Val Loss: 0.4601, Train Acc: 0.9785, Val Acc: 0.8389
2026-07-11 20:52:15,672 - INFO - [Train Regular Models] Epoch [21/25], Train Loss: 0.1371, Val Loss: 0.5181, Train Acc: 0.9727, Val Acc: 0.8322
2026-07-11 20:52:34,805 - INFO - [Train Regular Models] Epoch [22/25], Train Loss: 0.1380, Val Loss: 0.5356, Train Acc: 0.9785, Val Acc: 0.6644
2026-07-11 20:52:53,969 - INFO - [Train Regular Models] Epoch [23/25], Train Loss: 0.1287, Val Loss: 0.6765, Train Acc: 0.9844, Val Acc: 0.5772
2026-07-12 00:02:21,044 - INFO - [SYSTEM] Application initialized and ready.
2026-07-12 00:02:26,969 - INFO - [SYSTEM] Successfully loaded config from ./outputs/exp1/config.toml
2026-07-12 00:02:30,024 - INFO - [SYSTEM] Initiating Scenario: 1. Train, Evaluate, & Noise Analysis
2026-07-12 00:02:30,027 - INFO - [SYSTEM] Starting Task 1/7: Load Image and ADNIMERGE
2026-07-12 00:02:30,157 - INFO - [Load Image and ADNIMERGE] Seeded RNGs with base seed 42
2026-07-12 00:02:30,158 - INFO - [Load Image and ADNIMERGE] Loading Files
2026-07-12 00:02:32,865 - INFO - [Load Image and ADNIMERGE] Dataloaders initalized
2026-07-12 00:02:32,871 - INFO - [Load Image and ADNIMERGE] Task completed.
2026-07-12 00:02:32,873 - INFO - [SYSTEM] Starting Task 2/7: Train Regular Models
2026-07-12 00:02:32,873 - INFO - [Train Regular Models] Starting normal model training...
2026-07-12 00:02:32,874 - INFO - [Train Regular Models] Intermediate models will be saved to outputs/exp1/normal_models/intermediate_models
2026-07-12 00:02:32,876 - INFO - [Train Regular Models] Training model 1/30 (seed 42)...
2026-07-12 00:02:52,743 - INFO - [Train Regular Models] Epoch [1/25], Train Loss: 0.5716, Val Loss: 0.6975, Train Acc: 0.7461, Val Acc: 0.4631
2026-07-12 00:03:11,607 - INFO - [Train Regular Models] Epoch [2/25], Train Loss: 0.4039, Val Loss: 0.7519, Train Acc: 0.8984, Val Acc: 0.4832
2026-07-12 00:03:30,561 - INFO - [Train Regular Models] Epoch [3/25], Train Loss: 0.3554, Val Loss: 0.5553, Train Acc: 0.9551, Val Acc: 0.7651
2026-07-12 00:03:49,538 - INFO - [Train Regular Models] Epoch [4/25], Train Loss: 0.3116, Val Loss: 0.6066, Train Acc: 0.9570, Val Acc: 0.7852
2026-07-12 00:04:08,584 - INFO - [Train Regular Models] Epoch [5/25], Train Loss: 0.2930, Val Loss: 0.6533, Train Acc: 0.9609, Val Acc: 0.5235
2026-07-12 00:04:27,639 - INFO - [Train Regular Models] Epoch [6/25], Train Loss: 0.2624, Val Loss: 0.6463, Train Acc: 0.9785, Val Acc: 0.5436
2026-07-12 00:04:27,748 - INFO - [Train Regular Models] Model saved at epoch 6
2026-07-12 00:04:46,795 - INFO - [Train Regular Models] Epoch [7/25], Train Loss: 0.2263, Val Loss: 0.6113, Train Acc: 0.9766, Val Acc: 0.8121
2026-07-12 00:05:05,855 - INFO - [Train Regular Models] Epoch [8/25], Train Loss: 0.2176, Val Loss: 0.5641, Train Acc: 0.9824, Val Acc: 0.6242
2026-07-12 00:05:24,921 - INFO - [Train Regular Models] Epoch [9/25], Train Loss: 0.2042, Val Loss: 0.5711, Train Acc: 0.9727, Val Acc: 0.6376
2026-07-12 00:05:43,996 - INFO - [Train Regular Models] Epoch [10/25], Train Loss: 0.1884, Val Loss: 0.5182, Train Acc: 0.9766, Val Acc: 0.8322
2026-07-12 00:06:03,029 - INFO - [Train Regular Models] Epoch [11/25], Train Loss: 0.1834, Val Loss: 0.9832, Train Acc: 0.9824, Val Acc: 0.4631
2026-07-12 00:06:22,083 - INFO - [Train Regular Models] Epoch [12/25], Train Loss: 0.1861, Val Loss: 0.6063, Train Acc: 0.9727, Val Acc: 0.6913
2026-07-12 00:06:22,174 - INFO - [Train Regular Models] Model saved at epoch 12
2026-07-12 00:06:41,240 - INFO - [Train Regular Models] Epoch [13/25], Train Loss: 0.1676, Val Loss: 0.6448, Train Acc: 0.9785, Val Acc: 0.7919
2026-07-12 00:07:00,309 - INFO - [Train Regular Models] Epoch [14/25], Train Loss: 0.1559, Val Loss: 0.5354, Train Acc: 0.9805, Val Acc: 0.7718
2026-07-12 00:07:19,386 - INFO - [Train Regular Models] Epoch [15/25], Train Loss: 0.1478, Val Loss: 0.5848, Train Acc: 0.9844, Val Acc: 0.7248
2026-07-12 00:07:38,464 - INFO - [Train Regular Models] Epoch [16/25], Train Loss: 0.1425, Val Loss: 0.6664, Train Acc: 0.9824, Val Acc: 0.5436
2026-07-12 00:07:57,530 - INFO - [Train Regular Models] Epoch [17/25], Train Loss: 0.1249, Val Loss: 0.5547, Train Acc: 0.9883, Val Acc: 0.8188
2026-07-12 00:08:16,588 - INFO - [Train Regular Models] Epoch [18/25], Train Loss: 0.1434, Val Loss: 0.5592, Train Acc: 0.9746, Val Acc: 0.6577
2026-07-12 00:08:16,679 - INFO - [Train Regular Models] Model saved at epoch 18
2026-07-12 00:08:35,747 - INFO - [Train Regular Models] Epoch [19/25], Train Loss: 0.1186, Val Loss: 0.5938, Train Acc: 0.9805, Val Acc: 0.6309
2026-07-12 00:08:54,839 - INFO - [Train Regular Models] Epoch [20/25], Train Loss: 0.1218, Val Loss: 0.7090, Train Acc: 0.9785, Val Acc: 0.5570
2026-07-12 00:09:13,917 - INFO - [Train Regular Models] Epoch [21/25], Train Loss: 0.1139, Val Loss: 0.6837, Train Acc: 0.9785, Val Acc: 0.5638
2026-07-12 00:09:32,989 - INFO - [Train Regular Models] Epoch [22/25], Train Loss: 0.1137, Val Loss: 0.6238, Train Acc: 0.9766, Val Acc: 0.5638
2026-07-12 00:09:52,071 - INFO - [Train Regular Models] Epoch [23/25], Train Loss: 0.1055, Val Loss: 0.5640, Train Acc: 0.9805, Val Acc: 0.6376
2026-07-12 00:10:11,142 - INFO - [Train Regular Models] Epoch [24/25], Train Loss: 0.1027, Val Loss: 0.5304, Train Acc: 0.9766, Val Acc: 0.6846
2026-07-12 00:10:11,233 - INFO - [Train Regular Models] Model saved at epoch 24
2026-07-12 00:10:30,399 - INFO - [Train Regular Models] Epoch [25/25], Train Loss: 0.1085, Val Loss: 0.5725, Train Acc: 0.9785, Val Acc: 0.7987
2026-07-12 00:10:31,346 - INFO - [Train Regular Models] Run 1/30 - Test Loss: 0.5534, Test Accuracy: 0.8557
2026-07-12 00:10:31,440 - INFO - [Train Regular Models] Model saved to outputs/exp1/normal_models/model_1.pt
2026-07-12 00:10:31,698 - INFO - [Train Regular Models] Training model 2/30 (seed 43)...
2026-07-12 00:10:50,869 - INFO - [Train Regular Models] Epoch [1/25], Train Loss: 0.6298, Val Loss: 0.6547, Train Acc: 0.6211, Val Acc: 0.5034
2026-07-12 00:11:09,930 - INFO - [Train Regular Models] Epoch [2/25], Train Loss: 0.5027, Val Loss: 0.6636, Train Acc: 0.7988, Val Acc: 0.5570
2026-07-12 00:11:29,007 - INFO - [Train Regular Models] Epoch [3/25], Train Loss: 0.4538, Val Loss: 0.5730, Train Acc: 0.8711, Val Acc: 0.5973
2026-07-12 00:11:48,080 - INFO - [Train Regular Models] Epoch [4/25], Train Loss: 0.4189, Val Loss: 0.6318, Train Acc: 0.9121, Val Acc: 0.7517
2026-07-12 00:12:07,152 - INFO - [Train Regular Models] Epoch [5/25], Train Loss: 0.3799, Val Loss: 0.5675, Train Acc: 0.9336, Val Acc: 0.6107
2026-07-12 00:12:26,233 - INFO - [Train Regular Models] Epoch [6/25], Train Loss: 0.3592, Val Loss: 0.5674, Train Acc: 0.9570, Val Acc: 0.6510
2026-07-12 00:12:26,368 - INFO - [Train Regular Models] Model saved at epoch 6
2026-07-12 00:12:45,464 - INFO - [Train Regular Models] Epoch [7/25], Train Loss: 0.3534, Val Loss: 0.6277, Train Acc: 0.9551, Val Acc: 0.5638
2026-07-12 00:13:04,530 - INFO - [Train Regular Models] Epoch [8/25], Train Loss: 0.3256, Val Loss: 0.5946, Train Acc: 0.9590, Val Acc: 0.5906
2026-07-12 00:13:23,599 - INFO - [Train Regular Models] Epoch [9/25], Train Loss: 0.3000, Val Loss: 0.6124, Train Acc: 0.9766, Val Acc: 0.7047
2026-07-12 00:13:42,674 - INFO - [Train Regular Models] Epoch [10/25], Train Loss: 0.2758, Val Loss: 0.6891, Train Acc: 0.9805, Val Acc: 0.5570
2026-07-12 00:14:01,768 - INFO - [Train Regular Models] Epoch [11/25], Train Loss: 0.2598, Val Loss: 0.5521, Train Acc: 0.9727, Val Acc: 0.8322
2026-07-12 00:14:20,838 - INFO - [Train Regular Models] Epoch [12/25], Train Loss: 0.2628, Val Loss: 0.7028, Train Acc: 0.9746, Val Acc: 0.5302
2026-07-12 00:14:20,976 - INFO - [Train Regular Models] Model saved at epoch 12
2026-07-12 00:14:40,044 - INFO - [Train Regular Models] Epoch [13/25], Train Loss: 0.2623, Val Loss: 0.7450, Train Acc: 0.9707, Val Acc: 0.5168
2026-07-12 00:14:59,115 - INFO - [Train Regular Models] Epoch [14/25], Train Loss: 0.2225, Val Loss: 0.6051, Train Acc: 0.9785, Val Acc: 0.6913
2026-07-12 00:15:18,197 - INFO - [Train Regular Models] Epoch [15/25], Train Loss: 0.2174, Val Loss: 0.5642, Train Acc: 0.9805, Val Acc: 0.8389
2026-07-12 00:15:37,276 - INFO - [Train Regular Models] Epoch [16/25], Train Loss: 0.1986, Val Loss: 0.5379, Train Acc: 0.9805, Val Acc: 0.7785
2026-07-12 00:15:56,356 - INFO - [Train Regular Models] Epoch [17/25], Train Loss: 0.2104, Val Loss: 0.6581, Train Acc: 0.9785, Val Acc: 0.5503
2026-07-12 00:16:15,433 - INFO - [Train Regular Models] Epoch [18/25], Train Loss: 0.1832, Val Loss: 0.6048, Train Acc: 0.9785, Val Acc: 0.6779
2026-07-12 00:16:15,566 - INFO - [Train Regular Models] Model saved at epoch 18
2026-07-12 00:16:34,647 - INFO - [Train Regular Models] Epoch [19/25], Train Loss: 0.1706, Val Loss: 0.5490, Train Acc: 0.9805, Val Acc: 0.6644
2026-07-12 00:16:53,717 - INFO - [Train Regular Models] Epoch [20/25], Train Loss: 0.1688, Val Loss: 0.4836, Train Acc: 0.9746, Val Acc: 0.8188
2026-07-12 00:17:12,793 - INFO - [Train Regular Models] Epoch [21/25], Train Loss: 0.1519, Val Loss: 0.5894, Train Acc: 0.9805, Val Acc: 0.6242
2026-07-12 00:17:31,880 - INFO - [Train Regular Models] Epoch [22/25], Train Loss: 0.1423, Val Loss: 0.4348, Train Acc: 0.9824, Val Acc: 0.8456
2026-07-12 00:17:50,959 - INFO - [Train Regular Models] Epoch [23/25], Train Loss: 0.1396, Val Loss: 0.4648, Train Acc: 0.9824, Val Acc: 0.8456
2026-07-12 00:18:10,091 - INFO - [Train Regular Models] Epoch [24/25], Train Loss: 0.1363, Val Loss: 0.7031, Train Acc: 0.9824, Val Acc: 0.5839
2026-07-12 00:18:10,226 - INFO - [Train Regular Models] Model saved at epoch 24
2026-07-12 00:18:29,305 - INFO - [Train Regular Models] Epoch [25/25], Train Loss: 0.1429, Val Loss: 0.6063, Train Acc: 0.9785, Val Acc: 0.6174
2026-07-12 00:18:30,251 - INFO - [Train Regular Models] Run 2/30 - Test Loss: 0.5007, Test Accuracy: 0.8144
2026-07-12 00:18:30,345 - INFO - [Train Regular Models] Model saved to outputs/exp1/normal_models/model_2.pt
2026-07-12 00:18:30,605 - INFO - [Train Regular Models] Training model 3/30 (seed 44)...
2026-07-12 00:18:49,772 - INFO - [Train Regular Models] Epoch [1/25], Train Loss: 0.4892, Val Loss: 0.7529, Train Acc: 0.8066, Val Acc: 0.4698
2026-07-12 00:19:08,858 - INFO - [Train Regular Models] Epoch [2/25], Train Loss: 0.3520, Val Loss: 0.7749, Train Acc: 0.9375, Val Acc: 0.5369
2026-07-12 00:19:27,939 - INFO - [Train Regular Models] Epoch [3/25], Train Loss: 0.3132, Val Loss: 0.6613, Train Acc: 0.9492, Val Acc: 0.5302
2026-07-12 00:19:47,076 - INFO - [Train Regular Models] Epoch [4/25], Train Loss: 0.2882, Val Loss: 0.5926, Train Acc: 0.9648, Val Acc: 0.6913
2026-07-12 00:20:06,171 - INFO - [Train Regular Models] Epoch [5/25], Train Loss: 0.2541, Val Loss: 0.7184, Train Acc: 0.9707, Val Acc: 0.5503
2026-07-12 00:20:25,262 - INFO - [Train Regular Models] Epoch [6/25], Train Loss: 0.2101, Val Loss: 0.4537, Train Acc: 0.9883, Val Acc: 0.8456
2026-07-12 00:20:25,396 - INFO - [Train Regular Models] Model saved at epoch 6
2026-07-12 00:20:44,485 - INFO - [Train Regular Models] Epoch [7/25], Train Loss: 0.1980, Val Loss: 0.6929, Train Acc: 0.9844, Val Acc: 0.5705
2026-07-12 00:21:03,562 - INFO - [Train Regular Models] Epoch [8/25], Train Loss: 0.1804, Val Loss: 0.4987, Train Acc: 0.9805, Val Acc: 0.7987
2026-07-12 00:21:22,651 - INFO - [Train Regular Models] Epoch [9/25], Train Loss: 0.1860, Val Loss: 0.5771, Train Acc: 0.9766, Val Acc: 0.6309
2026-07-12 00:21:41,734 - INFO - [Train Regular Models] Epoch [10/25], Train Loss: 0.1573, Val Loss: 0.5302, Train Acc: 0.9824, Val Acc: 0.6913
2026-07-12 00:22:00,814 - INFO - [Train Regular Models] Epoch [11/25], Train Loss: 0.1695, Val Loss: 0.5888, Train Acc: 0.9785, Val Acc: 0.6040
2026-07-12 00:22:19,884 - INFO - [Train Regular Models] Epoch [12/25], Train Loss: 0.1479, Val Loss: 0.5666, Train Acc: 0.9766, Val Acc: 0.6510
2026-07-12 00:22:20,018 - INFO - [Train Regular Models] Model saved at epoch 12
2026-07-12 00:22:39,102 - INFO - [Train Regular Models] Epoch [13/25], Train Loss: 0.1387, Val Loss: 0.5861, Train Acc: 0.9863, Val Acc: 0.5973
2026-07-12 00:22:58,187 - INFO - [Train Regular Models] Epoch [14/25], Train Loss: 0.1292, Val Loss: 0.6362, Train Acc: 0.9863, Val Acc: 0.5839
2026-07-12 00:23:17,261 - INFO - [Train Regular Models] Epoch [15/25], Train Loss: 0.1199, Val Loss: 0.6887, Train Acc: 0.9863, Val Acc: 0.5772
2026-07-12 00:23:36,425 - INFO - [Train Regular Models] Epoch [16/25], Train Loss: 0.1194, Val Loss: 0.4900, Train Acc: 0.9805, Val Acc: 0.6980
2026-07-12 00:23:55,596 - INFO - [Train Regular Models] Epoch [17/25], Train Loss: 0.1088, Val Loss: 0.6265, Train Acc: 0.9844, Val Acc: 0.5973
2026-07-12 00:24:14,760 - INFO - [Train Regular Models] Epoch [18/25], Train Loss: 0.1125, Val Loss: 0.6611, Train Acc: 0.9766, Val Acc: 0.5638
2026-07-12 00:24:14,890 - INFO - [Train Regular Models] Model saved at epoch 18
2026-07-12 00:24:33,983 - INFO - [Train Regular Models] Epoch [19/25], Train Loss: 0.1096, Val Loss: 0.5542, Train Acc: 0.9805, Val Acc: 0.6913
2026-07-12 00:24:53,108 - INFO - [Train Regular Models] Epoch [20/25], Train Loss: 0.1053, Val Loss: 0.4638, Train Acc: 0.9844, Val Acc: 0.8188
2026-07-12 00:25:12,286 - INFO - [Train Regular Models] Epoch [21/25], Train Loss: 0.0863, Val Loss: 0.4981, Train Acc: 0.9902, Val Acc: 0.7517
2026-07-12 00:25:31,470 - INFO - [Train Regular Models] Epoch [22/25], Train Loss: 0.1008, Val Loss: 0.6390, Train Acc: 0.9805, Val Acc: 0.5973
2026-07-12 00:25:50,640 - INFO - [Train Regular Models] Epoch [23/25], Train Loss: 0.1019, Val Loss: 0.8160, Train Acc: 0.9805, Val Acc: 0.5839
2026-07-12 00:26:09,817 - INFO - [Train Regular Models] Epoch [24/25], Train Loss: 0.0987, Val Loss: 0.6231, Train Acc: 0.9746, Val Acc: 0.5906
2026-07-12 00:26:09,952 - INFO - [Train Regular Models] Model saved at epoch 24
2026-07-12 00:26:29,126 - INFO - [Train Regular Models] Epoch [25/25], Train Loss: 0.0796, Val Loss: 0.6785, Train Acc: 0.9824, Val Acc: 0.5705
2026-07-12 00:26:30,070 - INFO - [Train Regular Models] Run 3/30 - Test Loss: 0.4985, Test Accuracy: 0.7010
2026-07-12 00:26:30,170 - INFO - [Train Regular Models] Model saved to outputs/exp1/normal_models/model_3.pt
2026-07-12 00:26:30,433 - INFO - [Train Regular Models] Training model 4/30 (seed 45)...
2026-07-12 00:26:49,668 - INFO - [Train Regular Models] Epoch [1/25], Train Loss: 0.5709, Val Loss: 0.6306, Train Acc: 0.7598, Val Acc: 0.6846
2026-07-12 00:27:08,821 - INFO - [Train Regular Models] Epoch [2/25], Train Loss: 0.4386, Val Loss: 0.5902, Train Acc: 0.8906, Val Acc: 0.6510
2026-07-12 00:27:27,995 - INFO - [Train Regular Models] Epoch [3/25], Train Loss: 0.3937, Val Loss: 0.6147, Train Acc: 0.9434, Val Acc: 0.8054
2026-07-12 00:27:47,172 - INFO - [Train Regular Models] Epoch [4/25], Train Loss: 0.3567, Val Loss: 0.5468, Train Acc: 0.9629, Val Acc: 0.8188
2026-07-12 00:28:06,359 - INFO - [Train Regular Models] Epoch [5/25], Train Loss: 0.3284, Val Loss: 0.5260, Train Acc: 0.9629, Val Acc: 0.7987
2026-07-12 00:28:25,535 - INFO - [Train Regular Models] Epoch [6/25], Train Loss: 0.3110, Val Loss: 0.8086, Train Acc: 0.9727, Val Acc: 0.4631
2026-07-12 00:28:25,676 - INFO - [Train Regular Models] Model saved at epoch 6
2026-07-12 00:28:44,838 - INFO - [Train Regular Models] Epoch [7/25], Train Loss: 0.2737, Val Loss: 0.5006, Train Acc: 0.9902, Val Acc: 0.8591
2026-07-12 00:29:03,995 - INFO - [Train Regular Models] Epoch [8/25], Train Loss: 0.2739, Val Loss: 0.5482, Train Acc: 0.9707, Val Acc: 0.6846
2026-07-12 00:29:23,156 - INFO - [Train Regular Models] Epoch [9/25], Train Loss: 0.2498, Val Loss: 0.7196, Train Acc: 0.9766, Val Acc: 0.4899
2026-07-12 00:29:42,318 - INFO - [Train Regular Models] Epoch [10/25], Train Loss: 0.2351, Val Loss: 0.5153, Train Acc: 0.9805, Val Acc: 0.8389
2026-07-12 00:30:01,477 - INFO - [Train Regular Models] Epoch [11/25], Train Loss: 0.2196, Val Loss: 0.5810, Train Acc: 0.9805, Val Acc: 0.7383
2026-07-12 00:30:20,638 - INFO - [Train Regular Models] Epoch [12/25], Train Loss: 0.2202, Val Loss: 0.7479, Train Acc: 0.9805, Val Acc: 0.4832
2026-07-12 00:30:20,777 - INFO - [Train Regular Models] Model saved at epoch 12
2026-07-12 00:30:39,926 - INFO - [Train Regular Models] Epoch [13/25], Train Loss: 0.2104, Val Loss: 0.5552, Train Acc: 0.9805, Val Acc: 0.6577
2026-07-12 00:30:59,092 - INFO - [Train Regular Models] Epoch [14/25], Train Loss: 0.1807, Val Loss: 0.9147, Train Acc: 0.9824, Val Acc: 0.4832
2026-07-12 00:31:18,233 - INFO - [Train Regular Models] Epoch [15/25], Train Loss: 0.1980, Val Loss: 0.7089, Train Acc: 0.9746, Val Acc: 0.5436
2026-07-12 00:31:37,384 - INFO - [Train Regular Models] Epoch [16/25], Train Loss: 0.1750, Val Loss: 0.7117, Train Acc: 0.9824, Val Acc: 0.5436
2026-07-12 00:31:56,638 - INFO - [Train Regular Models] Epoch [17/25], Train Loss: 0.1844, Val Loss: 0.7334, Train Acc: 0.9727, Val Acc: 0.5570
2026-07-12 00:32:15,794 - INFO - [Train Regular Models] Epoch [18/25], Train Loss: 0.1607, Val Loss: 0.5371, Train Acc: 0.9805, Val Acc: 0.7517
2026-07-12 00:32:15,923 - INFO - [Train Regular Models] Model saved at epoch 18
2026-07-12 00:32:35,073 - INFO - [Train Regular Models] Epoch [19/25], Train Loss: 0.1738, Val Loss: 0.8919, Train Acc: 0.9766, Val Acc: 0.4966
2026-07-12 00:32:54,240 - INFO - [Train Regular Models] Epoch [20/25], Train Loss: 0.1672, Val Loss: 0.7884, Train Acc: 0.9727, Val Acc: 0.5369
2026-07-12 00:33:13,405 - INFO - [Train Regular Models] Epoch [21/25], Train Loss: 0.1335, Val Loss: 0.8455, Train Acc: 0.9844, Val Acc: 0.5168
2026-07-12 00:33:32,594 - INFO - [Train Regular Models] Epoch [22/25], Train Loss: 0.1242, Val Loss: 0.6852, Train Acc: 0.9844, Val Acc: 0.5705
2026-07-12 00:33:51,769 - INFO - [Train Regular Models] Epoch [23/25], Train Loss: 0.1235, Val Loss: 0.4750, Train Acc: 0.9883, Val Acc: 0.7987
2026-07-12 00:34:10,925 - INFO - [Train Regular Models] Epoch [24/25], Train Loss: 0.1258, Val Loss: 0.5376, Train Acc: 0.9805, Val Acc: 0.6577
2026-07-12 00:34:11,064 - INFO - [Train Regular Models] Model saved at epoch 24
2026-07-12 00:34:30,223 - INFO - [Train Regular Models] Epoch [25/25], Train Loss: 0.1075, Val Loss: 0.5116, Train Acc: 0.9785, Val Acc: 0.7651
2026-07-12 00:34:31,175 - INFO - [Train Regular Models] Run 4/30 - Test Loss: 0.4226, Test Accuracy: 0.8969
2026-07-12 00:34:31,264 - INFO - [Train Regular Models] Model saved to outputs/exp1/normal_models/model_4.pt
2026-07-12 00:34:31,529 - INFO - [Train Regular Models] Training model 5/30 (seed 46)...
2026-07-12 00:34:50,761 - INFO - [Train Regular Models] Epoch [1/25], Train Loss: 0.5464, Val Loss: 0.6738, Train Acc: 0.7812, Val Acc: 0.5369
2026-07-12 00:35:09,926 - INFO - [Train Regular Models] Epoch [2/25], Train Loss: 0.4487, Val Loss: 0.9765, Train Acc: 0.8691, Val Acc: 0.4631
2026-07-12 00:35:29,090 - INFO - [Train Regular Models] Epoch [3/25], Train Loss: 0.4226, Val Loss: 0.6040, Train Acc: 0.9023, Val Acc: 0.6443
2026-07-12 00:35:48,248 - INFO - [Train Regular Models] Epoch [4/25], Train Loss: 0.3689, Val Loss: 0.6958, Train Acc: 0.9648, Val Acc: 0.5436
2026-07-12 00:36:07,409 - INFO - [Train Regular Models] Epoch [5/25], Train Loss: 0.3345, Val Loss: 0.7485, Train Acc: 0.9688, Val Acc: 0.5101
2026-07-12 00:36:26,568 - INFO - [Train Regular Models] Epoch [6/25], Train Loss: 0.3160, Val Loss: 0.6452, Train Acc: 0.9785, Val Acc: 0.6174
2026-07-12 00:36:26,710 - INFO - [Train Regular Models] Model saved at epoch 6
2026-07-12 00:36:45,876 - INFO - [Train Regular Models] Epoch [7/25], Train Loss: 0.3094, Val Loss: 0.8153, Train Acc: 0.9727, Val Acc: 0.5168
2026-07-12 00:37:05,027 - INFO - [Train Regular Models] Epoch [8/25], Train Loss: 0.2921, Val Loss: 0.5752, Train Acc: 0.9746, Val Acc: 0.6913
2026-07-12 00:37:24,190 - INFO - [Train Regular Models] Epoch [9/25], Train Loss: 0.2637, Val Loss: 0.6312, Train Acc: 0.9766, Val Acc: 0.6040
2026-07-12 00:37:43,356 - INFO - [Train Regular Models] Epoch [10/25], Train Loss: 0.2658, Val Loss: 0.9369, Train Acc: 0.9824, Val Acc: 0.4698
2026-07-12 00:38:02,532 - INFO - [Train Regular Models] Epoch [11/25], Train Loss: 0.2574, Val Loss: 0.9878, Train Acc: 0.9766, Val Acc: 0.4631
2026-07-12 00:38:21,707 - INFO - [Train Regular Models] Epoch [12/25], Train Loss: 0.2454, Val Loss: 0.7863, Train Acc: 0.9707, Val Acc: 0.5034
2026-07-12 00:38:21,844 - INFO - [Train Regular Models] Model saved at epoch 12
2026-07-12 00:38:41,002 - INFO - [Train Regular Models] Epoch [13/25], Train Loss: 0.2191, Val Loss: 0.7763, Train Acc: 0.9863, Val Acc: 0.5168
2026-07-12 00:39:00,174 - INFO - [Train Regular Models] Epoch [14/25], Train Loss: 0.2076, Val Loss: 0.8886, Train Acc: 0.9785, Val Acc: 0.5235
2026-07-12 00:39:19,347 - INFO - [Train Regular Models] Epoch [15/25], Train Loss: 0.1864, Val Loss: 0.7081, Train Acc: 0.9863, Val Acc: 0.5503
2026-07-12 00:39:38,525 - INFO - [Train Regular Models] Epoch [16/25], Train Loss: 0.1912, Val Loss: 0.6187, Train Acc: 0.9766, Val Acc: 0.5906
2026-07-12 00:39:57,709 - INFO - [Train Regular Models] Epoch [17/25], Train Loss: 0.1678, Val Loss: 0.5320, Train Acc: 0.9766, Val Acc: 0.7718
2026-07-12 00:40:16,885 - INFO - [Train Regular Models] Epoch [18/25], Train Loss: 0.1584, Val Loss: 0.5018, Train Acc: 0.9824, Val Acc: 0.7718
2026-07-12 00:40:17,022 - INFO - [Train Regular Models] Model saved at epoch 18
2026-07-12 00:40:36,173 - INFO - [Train Regular Models] Epoch [19/25], Train Loss: 0.1566, Val Loss: 0.5046, Train Acc: 0.9785, Val Acc: 0.7450
2026-07-12 00:40:55,335 - INFO - [Train Regular Models] Epoch [20/25], Train Loss: 0.1518, Val Loss: 0.5155, Train Acc: 0.9844, Val Acc: 0.7114
2026-07-12 00:41:14,491 - INFO - [Train Regular Models] Epoch [21/25], Train Loss: 0.1490, Val Loss: 0.4440, Train Acc: 0.9727, Val Acc: 0.8054
2026-07-12 00:41:33,672 - INFO - [Train Regular Models] Epoch [22/25], Train Loss: 0.1478, Val Loss: 0.6889, Train Acc: 0.9844, Val Acc: 0.5503
2026-07-12 00:41:52,851 - INFO - [Train Regular Models] Epoch [23/25], Train Loss: 0.1160, Val Loss: 0.6785, Train Acc: 0.9863, Val Acc: 0.5570
2026-07-12 00:42:12,028 - INFO - [Train Regular Models] Epoch [24/25], Train Loss: 0.1269, Val Loss: 0.4578, Train Acc: 0.9766, Val Acc: 0.8188
2026-07-12 00:42:12,160 - INFO - [Train Regular Models] Model saved at epoch 24
2026-07-12 00:42:31,336 - INFO - [Train Regular Models] Epoch [25/25], Train Loss: 0.1239, Val Loss: 0.5175, Train Acc: 0.9922, Val Acc: 0.7987
2026-07-12 00:42:32,276 - INFO - [Train Regular Models] Run 5/30 - Test Loss: 0.4877, Test Accuracy: 0.8763
2026-07-12 00:42:32,365 - INFO - [Train Regular Models] Model saved to outputs/exp1/normal_models/model_5.pt
2026-07-12 00:42:32,630 - INFO - [Train Regular Models] Training model 6/30 (seed 47)...
2026-07-12 00:42:51,896 - INFO - [Train Regular Models] Epoch [1/25], Train Loss: 0.5142, Val Loss: 0.6942, Train Acc: 0.7734, Val Acc: 0.5034
2026-07-12 00:43:11,074 - INFO - [Train Regular Models] Epoch [2/25], Train Loss: 0.4129, Val Loss: 0.6872, Train Acc: 0.9043, Val Acc: 0.5302
2026-07-12 00:43:30,271 - INFO - [Train Regular Models] Epoch [3/25], Train Loss: 0.3662, Val Loss: 0.6553, Train Acc: 0.9316, Val Acc: 0.5839
2026-07-12 00:43:49,460 - INFO - [Train Regular Models] Epoch [4/25], Train Loss: 0.3396, Val Loss: 0.5938, Train Acc: 0.9414, Val Acc: 0.6443
2026-07-12 00:44:08,644 - INFO - [Train Regular Models] Epoch [5/25], Train Loss: 0.3091, Val Loss: 0.6640, Train Acc: 0.9570, Val Acc: 0.5839
2026-07-12 00:44:27,836 - INFO - [Train Regular Models] Epoch [6/25], Train Loss: 0.2773, Val Loss: 0.7003, Train Acc: 0.9707, Val Acc: 0.5772
2026-07-12 00:44:27,985 - INFO - [Train Regular Models] Model saved at epoch 6
2026-07-12 00:44:47,180 - INFO - [Train Regular Models] Epoch [7/25], Train Loss: 0.2542, Val Loss: 0.6451, Train Acc: 0.9727, Val Acc: 0.5839
2026-07-12 00:45:06,359 - INFO - [Train Regular Models] Epoch [8/25], Train Loss: 0.2316, Val Loss: 0.6174, Train Acc: 0.9746, Val Acc: 0.5973
2026-07-12 00:45:25,534 - INFO - [Train Regular Models] Epoch [9/25], Train Loss: 0.2281, Val Loss: 0.5808, Train Acc: 0.9707, Val Acc: 0.6846
2026-07-12 00:45:44,728 - INFO - [Train Regular Models] Epoch [10/25], Train Loss: 0.2062, Val Loss: 0.6940, Train Acc: 0.9727, Val Acc: 0.5570
2026-07-12 00:46:03,912 - INFO - [Train Regular Models] Epoch [11/25], Train Loss: 0.2103, Val Loss: 0.6428, Train Acc: 0.9746, Val Acc: 0.5973
2026-07-12 00:46:23,100 - INFO - [Train Regular Models] Epoch [12/25], Train Loss: 0.1856, Val Loss: 0.7218, Train Acc: 0.9805, Val Acc: 0.5638
2026-07-12 00:46:23,237 - INFO - [Train Regular Models] Model saved at epoch 12
2026-07-12 00:46:42,431 - INFO - [Train Regular Models] Epoch [13/25], Train Loss: 0.2089, Val Loss: 0.6586, Train Acc: 0.9590, Val Acc: 0.6040
2026-07-12 00:47:01,625 - INFO - [Train Regular Models] Epoch [14/25], Train Loss: 0.1824, Val Loss: 0.6972, Train Acc: 0.9785, Val Acc: 0.5570
2026-07-12 00:47:20,803 - INFO - [Train Regular Models] Epoch [15/25], Train Loss: 0.1780, Val Loss: 0.5864, Train Acc: 0.9766, Val Acc: 0.7785
2026-07-12 00:47:39,968 - INFO - [Train Regular Models] Epoch [16/25], Train Loss: 0.1745, Val Loss: 0.6969, Train Acc: 0.9688, Val Acc: 0.5570
2026-07-12 00:47:59,146 - INFO - [Train Regular Models] Epoch [17/25], Train Loss: 0.1586, Val Loss: 0.4390, Train Acc: 0.9824, Val Acc: 0.8792
2026-07-12 00:48:18,426 - INFO - [Train Regular Models] Epoch [18/25], Train Loss: 0.1467, Val Loss: 0.7136, Train Acc: 0.9824, Val Acc: 0.5638
2026-07-12 00:48:18,564 - INFO - [Train Regular Models] Model saved at epoch 18
2026-07-12 00:48:37,725 - INFO - [Train Regular Models] Epoch [19/25], Train Loss: 0.1323, Val Loss: 0.4510, Train Acc: 0.9805, Val Acc: 0.8121
2026-07-12 00:48:56,882 - INFO - [Train Regular Models] Epoch [20/25], Train Loss: 0.1327, Val Loss: 0.5268, Train Acc: 0.9805, Val Acc: 0.8188
2026-07-12 00:49:16,083 - INFO - [Train Regular Models] Epoch [21/25], Train Loss: 0.1165, Val Loss: 0.5733, Train Acc: 0.9863, Val Acc: 0.6443
2026-07-12 00:49:35,271 - INFO - [Train Regular Models] Epoch [22/25], Train Loss: 0.1266, Val Loss: 0.4781, Train Acc: 0.9805, Val Acc: 0.8322
2026-07-12 00:49:54,461 - INFO - [Train Regular Models] Epoch [23/25], Train Loss: 0.1039, Val Loss: 0.7920, Train Acc: 0.9883, Val Acc: 0.5436
2026-07-12 00:50:13,641 - INFO - [Train Regular Models] Epoch [24/25], Train Loss: 0.1242, Val Loss: 0.4386, Train Acc: 0.9805, Val Acc: 0.8389
2026-07-12 00:50:13,780 - INFO - [Train Regular Models] Model saved at epoch 24
2026-07-12 00:50:32,948 - INFO - [Train Regular Models] Epoch [25/25], Train Loss: 0.1041, Val Loss: 0.4712, Train Acc: 0.9844, Val Acc: 0.7584
2026-07-12 00:50:33,888 - INFO - [Train Regular Models] Run 6/30 - Test Loss: 0.3725, Test Accuracy: 0.8454
2026-07-12 00:50:33,982 - INFO - [Train Regular Models] Model saved to outputs/exp1/normal_models/model_6.pt
2026-07-12 00:50:34,250 - INFO - [Train Regular Models] Training model 7/30 (seed 48)...
2026-07-12 00:50:53,495 - INFO - [Train Regular Models] Epoch [1/25], Train Loss: 0.5164, Val Loss: 0.6392, Train Acc: 0.8145, Val Acc: 0.6779
2026-07-12 00:51:12,660 - INFO - [Train Regular Models] Epoch [2/25], Train Loss: 0.4327, Val Loss: 0.7003, Train Acc: 0.9004, Val Acc: 0.5101
2026-07-12 00:51:31,827 - INFO - [Train Regular Models] Epoch [3/25], Train Loss: 0.3881, Val Loss: 0.5903, Train Acc: 0.9336, Val Acc: 0.6510
2026-07-12 00:51:51,010 - INFO - [Train Regular Models] Epoch [4/25], Train Loss: 0.3571, Val Loss: 0.6184, Train Acc: 0.9590, Val Acc: 0.5973
2026-07-12 00:52:10,177 - INFO - [Train Regular Models] Epoch [5/25], Train Loss: 0.3349, Val Loss: 0.6406, Train Acc: 0.9688, Val Acc: 0.5906
2026-07-12 00:52:29,339 - INFO - [Train Regular Models] Epoch [6/25], Train Loss: 0.3042, Val Loss: 0.5804, Train Acc: 0.9727, Val Acc: 0.6376
2026-07-12 00:52:29,483 - INFO - [Train Regular Models] Model saved at epoch 6
2026-07-12 00:52:48,640 - INFO - [Train Regular Models] Epoch [7/25], Train Loss: 0.2923, Val Loss: 0.6976, Train Acc: 0.9766, Val Acc: 0.5369
2026-07-12 00:53:07,829 - INFO - [Train Regular Models] Epoch [8/25], Train Loss: 0.2792, Val Loss: 0.6412, Train Acc: 0.9746, Val Acc: 0.5906
2026-07-12 00:53:27,007 - INFO - [Train Regular Models] Epoch [9/25], Train Loss: 0.2615, Val Loss: 0.6025, Train Acc: 0.9766, Val Acc: 0.7651
2026-07-12 00:53:46,192 - INFO - [Train Regular Models] Epoch [10/25], Train Loss: 0.2440, Val Loss: 0.6514, Train Acc: 0.9824, Val Acc: 0.5705
2026-07-12 00:54:05,363 - INFO - [Train Regular Models] Epoch [11/25], Train Loss: 0.2313, Val Loss: 0.6771, Train Acc: 0.9824, Val Acc: 0.5705
2026-07-12 00:54:24,548 - INFO - [Train Regular Models] Epoch [12/25], Train Loss: 0.2209, Val Loss: 0.6362, Train Acc: 0.9883, Val Acc: 0.5839
2026-07-12 00:54:24,683 - INFO - [Train Regular Models] Model saved at epoch 12
2026-07-12 00:54:43,857 - INFO - [Train Regular Models] Epoch [13/25], Train Loss: 0.2038, Val Loss: 0.6192, Train Acc: 0.9824, Val Acc: 0.5772
2026-07-12 00:55:03,040 - INFO - [Train Regular Models] Epoch [14/25], Train Loss: 0.2090, Val Loss: 0.6788, Train Acc: 0.9746, Val Acc: 0.5570
2026-07-12 00:55:22,227 - INFO - [Train Regular Models] Epoch [15/25], Train Loss: 0.1910, Val Loss: 0.6219, Train Acc: 0.9805, Val Acc: 0.6040
2026-07-12 00:55:41,426 - INFO - [Train Regular Models] Epoch [16/25], Train Loss: 0.1815, Val Loss: 0.6328, Train Acc: 0.9785, Val Acc: 0.5839
2026-07-12 00:56:00,605 - INFO - [Train Regular Models] Epoch [17/25], Train Loss: 0.1756, Val Loss: 0.6043, Train Acc: 0.9805, Val Acc: 0.6107
2026-07-12 00:56:19,800 - INFO - [Train Regular Models] Epoch [18/25], Train Loss: 0.1657, Val Loss: 0.6358, Train Acc: 0.9844, Val Acc: 0.6510
2026-07-12 00:56:19,936 - INFO - [Train Regular Models] Model saved at epoch 18
2026-07-12 00:56:39,106 - INFO - [Train Regular Models] Epoch [19/25], Train Loss: 0.1635, Val Loss: 0.6992, Train Acc: 0.9844, Val Acc: 0.5503
2026-07-12 00:56:58,278 - INFO - [Train Regular Models] Epoch [20/25], Train Loss: 0.1503, Val Loss: 0.5158, Train Acc: 0.9805, Val Acc: 0.8188
2026-07-12 00:57:17,445 - INFO - [Train Regular Models] Epoch [21/25], Train Loss: 0.1425, Val Loss: 0.6020, Train Acc: 0.9824, Val Acc: 0.6107
2026-07-12 00:57:36,630 - INFO - [Train Regular Models] Epoch [22/25], Train Loss: 0.1377, Val Loss: 0.6502, Train Acc: 0.9805, Val Acc: 0.5973
2026-07-12 00:57:55,815 - INFO - [Train Regular Models] Epoch [23/25], Train Loss: 0.1232, Val Loss: 0.5343, Train Acc: 0.9863, Val Acc: 0.7852
2026-07-12 00:58:14,996 - INFO - [Train Regular Models] Epoch [24/25], Train Loss: 0.1408, Val Loss: 0.7369, Train Acc: 0.9785, Val Acc: 0.5436
2026-07-12 00:58:15,136 - INFO - [Train Regular Models] Model saved at epoch 24
2026-07-12 00:58:34,415 - INFO - [Train Regular Models] Epoch [25/25], Train Loss: 0.1244, Val Loss: 0.7638, Train Acc: 0.9824, Val Acc: 0.5436
2026-07-12 00:58:35,357 - INFO - [Train Regular Models] Run 7/30 - Test Loss: 0.5710, Test Accuracy: 0.6598
2026-07-12 00:58:35,447 - INFO - [Train Regular Models] Model saved to outputs/exp1/normal_models/model_7.pt
2026-07-12 00:58:35,717 - INFO - [Train Regular Models] Training model 8/30 (seed 49)...
2026-07-12 00:58:54,975 - INFO - [Train Regular Models] Epoch [1/25], Train Loss: 0.5351, Val Loss: 0.7656, Train Acc: 0.7949, Val Acc: 0.4631
2026-07-12 00:59:14,126 - INFO - [Train Regular Models] Epoch [2/25], Train Loss: 0.4245, Val Loss: 0.6280, Train Acc: 0.9023, Val Acc: 0.6577
2026-07-12 00:59:33,303 - INFO - [Train Regular Models] Epoch [3/25], Train Loss: 0.3927, Val Loss: 0.6679, Train Acc: 0.9277, Val Acc: 0.5436
2026-07-12 00:59:52,450 - INFO - [Train Regular Models] Epoch [4/25], Train Loss: 0.3471, Val Loss: 0.6664, Train Acc: 0.9648, Val Acc: 0.5436
2026-07-12 01:00:11,628 - INFO - [Train Regular Models] Epoch [5/25], Train Loss: 0.3171, Val Loss: 0.6688, Train Acc: 0.9668, Val Acc: 0.5101
2026-07-12 01:00:30,806 - INFO - [Train Regular Models] Epoch [6/25], Train Loss: 0.3056, Val Loss: 0.8615, Train Acc: 0.9688, Val Acc: 0.4966
2026-07-12 01:00:30,947 - INFO - [Train Regular Models] Model saved at epoch 6
2026-07-12 01:00:50,095 - INFO - [Train Regular Models] Epoch [7/25], Train Loss: 0.2737, Val Loss: 0.6498, Train Acc: 0.9766, Val Acc: 0.5638
2026-07-12 01:01:09,255 - INFO - [Train Regular Models] Epoch [8/25], Train Loss: 0.2417, Val Loss: 0.7409, Train Acc: 0.9746, Val Acc: 0.5168
2026-07-12 01:01:28,425 - INFO - [Train Regular Models] Epoch [9/25], Train Loss: 0.2317, Val Loss: 0.6284, Train Acc: 0.9785, Val Acc: 0.5705
2026-07-12 01:01:47,595 - INFO - [Train Regular Models] Epoch [10/25], Train Loss: 0.2097, Val Loss: 0.5376, Train Acc: 0.9824, Val Acc: 0.7248
2026-07-12 01:02:06,772 - INFO - [Train Regular Models] Epoch [11/25], Train Loss: 0.2056, Val Loss: 0.5601, Train Acc: 0.9785, Val Acc: 0.6913
2026-07-12 01:02:25,941 - INFO - [Train Regular Models] Epoch [12/25], Train Loss: 0.1847, Val Loss: 0.6808, Train Acc: 0.9824, Val Acc: 0.7383
2026-07-12 01:02:26,081 - INFO - [Train Regular Models] Model saved at epoch 12
2026-07-12 01:02:45,256 - INFO - [Train Regular Models] Epoch [13/25], Train Loss: 0.1868, Val Loss: 0.7724, Train Acc: 0.9844, Val Acc: 0.5168
2026-07-12 01:03:04,435 - INFO - [Train Regular Models] Epoch [14/25], Train Loss: 0.1583, Val Loss: 0.6063, Train Acc: 0.9805, Val Acc: 0.5772
2026-07-12 01:03:23,603 - INFO - [Train Regular Models] Epoch [15/25], Train Loss: 0.1525, Val Loss: 0.5245, Train Acc: 0.9844, Val Acc: 0.8188
2026-07-12 01:03:42,781 - INFO - [Train Regular Models] Epoch [16/25], Train Loss: 0.1430, Val Loss: 0.6738, Train Acc: 0.9863, Val Acc: 0.5570
2026-07-12 01:04:01,960 - INFO - [Train Regular Models] Epoch [17/25], Train Loss: 0.1416, Val Loss: 0.7399, Train Acc: 0.9824, Val Acc: 0.5436
2026-07-12 01:04:21,123 - INFO - [Train Regular Models] Epoch [18/25], Train Loss: 0.1318, Val Loss: 0.4851, Train Acc: 0.9824, Val Acc: 0.7919
2026-07-12 01:04:21,259 - INFO - [Train Regular Models] Model saved at epoch 18
2026-07-12 01:04:40,447 - INFO - [Train Regular Models] Epoch [19/25], Train Loss: 0.1216, Val Loss: 0.6495, Train Acc: 0.9824, Val Acc: 0.5839
2026-07-12 01:04:59,625 - INFO - [Train Regular Models] Epoch [20/25], Train Loss: 0.1188, Val Loss: 0.5911, Train Acc: 0.9805, Val Acc: 0.5973
2026-07-12 01:05:18,799 - INFO - [Train Regular Models] Epoch [21/25], Train Loss: 0.1108, Val Loss: 0.4118, Train Acc: 0.9824, Val Acc: 0.8725
2026-07-12 01:05:37,973 - INFO - [Train Regular Models] Epoch [22/25], Train Loss: 0.1129, Val Loss: 0.7132, Train Acc: 0.9863, Val Acc: 0.5570
2026-07-12 01:05:57,141 - INFO - [Train Regular Models] Epoch [23/25], Train Loss: 0.0980, Val Loss: 0.4581, Train Acc: 0.9883, Val Acc: 0.8121
2026-07-12 01:06:16,324 - INFO - [Train Regular Models] Epoch [24/25], Train Loss: 0.1076, Val Loss: 0.4351, Train Acc: 0.9785, Val Acc: 0.8322
2026-07-12 01:06:16,462 - INFO - [Train Regular Models] Model saved at epoch 24
2026-07-12 01:06:35,642 - INFO - [Train Regular Models] Epoch [25/25], Train Loss: 0.0865, Val Loss: 0.5664, Train Acc: 0.9883, Val Acc: 0.6242
2026-07-12 01:06:36,590 - INFO - [Train Regular Models] Run 8/30 - Test Loss: 0.4046, Test Accuracy: 0.7629
2026-07-12 01:06:36,679 - INFO - [Train Regular Models] Model saved to outputs/exp1/normal_models/model_8.pt
2026-07-12 01:06:36,948 - INFO - [Train Regular Models] Training model 9/30 (seed 50)...
2026-07-12 01:06:56,186 - INFO - [Train Regular Models] Epoch [1/25], Train Loss: 0.5236, Val Loss: 0.5925, Train Acc: 0.7832, Val Acc: 0.6846
2026-07-12 01:07:15,345 - INFO - [Train Regular Models] Epoch [2/25], Train Loss: 0.3965, Val Loss: 0.6951, Train Acc: 0.9102, Val Acc: 0.4899
2026-07-12 01:07:34,514 - INFO - [Train Regular Models] Epoch [3/25], Train Loss: 0.3484, Val Loss: 0.6306, Train Acc: 0.9551, Val Acc: 0.5839
2026-07-12 01:07:53,700 - INFO - [Train Regular Models] Epoch [4/25], Train Loss: 0.3291, Val Loss: 0.6039, Train Acc: 0.9590, Val Acc: 0.6107
2026-07-12 01:08:12,861 - INFO - [Train Regular Models] Epoch [5/25], Train Loss: 0.2888, Val Loss: 0.7004, Train Acc: 0.9727, Val Acc: 0.4765
2026-07-12 01:08:32,024 - INFO - [Train Regular Models] Epoch [6/25], Train Loss: 0.2696, Val Loss: 0.5734, Train Acc: 0.9727, Val Acc: 0.6510
2026-07-12 01:08:32,168 - INFO - [Train Regular Models] Model saved at epoch 6
2026-07-12 01:08:51,348 - INFO - [Train Regular Models] Epoch [7/25], Train Loss: 0.2537, Val Loss: 0.8545, Train Acc: 0.9785, Val Acc: 0.4631
2026-07-12 01:09:10,510 - INFO - [Train Regular Models] Epoch [8/25], Train Loss: 0.2440, Val Loss: 0.7275, Train Acc: 0.9785, Val Acc: 0.4899
2026-07-12 01:09:29,693 - INFO - [Train Regular Models] Epoch [9/25], Train Loss: 0.2382, Val Loss: 0.5523, Train Acc: 0.9766, Val Acc: 0.6711
2026-07-12 01:09:48,871 - INFO - [Train Regular Models] Epoch [10/25], Train Loss: 0.2259, Val Loss: 1.0825, Train Acc: 0.9863, Val Acc: 0.4966
2026-07-12 01:10:08,044 - INFO - [Train Regular Models] Epoch [11/25], Train Loss: 0.2300, Val Loss: 0.5588, Train Acc: 0.9785, Val Acc: 0.8188
2026-07-12 01:10:27,234 - INFO - [Train Regular Models] Epoch [12/25], Train Loss: 0.2005, Val Loss: 0.6731, Train Acc: 0.9766, Val Acc: 0.5436
2026-07-12 01:10:27,378 - INFO - [Train Regular Models] Model saved at epoch 12
2026-07-12 01:10:46,562 - INFO - [Train Regular Models] Epoch [13/25], Train Loss: 0.1873, Val Loss: 0.6206, Train Acc: 0.9844, Val Acc: 0.6107
2026-07-12 01:11:05,772 - INFO - [Train Regular Models] Epoch [14/25], Train Loss: 0.1605, Val Loss: 0.6524, Train Acc: 0.9863, Val Acc: 0.5906
2026-07-12 01:11:24,977 - INFO - [Train Regular Models] Epoch [15/25], Train Loss: 0.1675, Val Loss: 0.5861, Train Acc: 0.9824, Val Acc: 0.6040
2026-07-12 01:11:44,194 - INFO - [Train Regular Models] Epoch [16/25], Train Loss: 0.1509, Val Loss: 0.6447, Train Acc: 0.9863, Val Acc: 0.7517
2026-07-12 01:12:03,415 - INFO - [Train Regular Models] Epoch [17/25], Train Loss: 0.1454, Val Loss: 0.5508, Train Acc: 0.9805, Val Acc: 0.7181
2026-07-12 01:12:22,618 - INFO - [Train Regular Models] Epoch [18/25], Train Loss: 0.1419, Val Loss: 0.5448, Train Acc: 0.9824, Val Acc: 0.6980
2026-07-12 01:12:22,865 - INFO - [Train Regular Models] Model saved at epoch 18
2026-07-12 01:12:42,078 - INFO - [Train Regular Models] Epoch [19/25], Train Loss: 0.1329, Val Loss: 0.7193, Train Acc: 0.9824, Val Acc: 0.5503
2026-07-12 01:13:01,260 - INFO - [Train Regular Models] Epoch [20/25], Train Loss: 0.1294, Val Loss: 0.5865, Train Acc: 0.9824, Val Acc: 0.6376
2026-07-12 01:13:20,461 - INFO - [Train Regular Models] Epoch [21/25], Train Loss: 0.1188, Val Loss: 0.6823, Train Acc: 0.9863, Val Acc: 0.5638
2026-07-12 01:13:39,666 - INFO - [Train Regular Models] Epoch [22/25], Train Loss: 0.1300, Val Loss: 0.8258, Train Acc: 0.9844, Val Acc: 0.5168
2026-07-12 01:13:58,870 - INFO - [Train Regular Models] Epoch [23/25], Train Loss: 0.1207, Val Loss: 0.7776, Train Acc: 0.9824, Val Acc: 0.5570
2026-07-12 01:14:18,097 - INFO - [Train Regular Models] Epoch [24/25], Train Loss: 0.1156, Val Loss: 0.6259, Train Acc: 0.9785, Val Acc: 0.5906
2026-07-12 01:14:18,238 - INFO - [Train Regular Models] Model saved at epoch 24
2026-07-12 01:14:37,434 - INFO - [Train Regular Models] Epoch [25/25], Train Loss: 0.1102, Val Loss: 0.6617, Train Acc: 0.9824, Val Acc: 0.5570
2026-07-12 01:14:38,384 - INFO - [Train Regular Models] Run 9/30 - Test Loss: 0.5563, Test Accuracy: 0.7320
2026-07-12 01:14:38,481 - INFO - [Train Regular Models] Model saved to outputs/exp1/normal_models/model_9.pt
2026-07-12 01:14:38,752 - INFO - [Train Regular Models] Training model 10/30 (seed 51)...
2026-07-12 01:14:58,022 - INFO - [Train Regular Models] Epoch [1/25], Train Loss: 0.6733, Val Loss: 0.6709, Train Acc: 0.5781, Val Acc: 0.5034
2026-07-12 01:15:17,207 - INFO - [Train Regular Models] Epoch [2/25], Train Loss: 0.5691, Val Loss: 0.6971, Train Acc: 0.6875, Val Acc: 0.4631
2026-07-12 01:15:36,409 - INFO - [Train Regular Models] Epoch [3/25], Train Loss: 0.5255, Val Loss: 0.6241, Train Acc: 0.7578, Val Acc: 0.6174
2026-07-12 01:15:55,605 - INFO - [Train Regular Models] Epoch [4/25], Train Loss: 0.4615, Val Loss: 0.6976, Train Acc: 0.8535, Val Acc: 0.4966
2026-07-12 01:16:14,811 - INFO - [Train Regular Models] Epoch [5/25], Train Loss: 0.4479, Val Loss: 0.7905, Train Acc: 0.8926, Val Acc: 0.5436
2026-07-12 01:16:34,004 - INFO - [Train Regular Models] Epoch [6/25], Train Loss: 0.4256, Val Loss: 0.6047, Train Acc: 0.8945, Val Acc: 0.5436
2026-07-12 01:16:34,143 - INFO - [Train Regular Models] Model saved at epoch 6
2026-07-12 01:16:53,340 - INFO - [Train Regular Models] Epoch [7/25], Train Loss: 0.3869, Val Loss: 0.5799, Train Acc: 0.9277, Val Acc: 0.6779
2026-07-12 01:17:12,519 - INFO - [Train Regular Models] Epoch [8/25], Train Loss: 0.3443, Val Loss: 0.5397, Train Acc: 0.9590, Val Acc: 0.7785
2026-07-12 01:17:31,707 - INFO - [Train Regular Models] Epoch [9/25], Train Loss: 0.3431, Val Loss: 0.5746, Train Acc: 0.9609, Val Acc: 0.8255
2026-07-12 01:17:50,912 - INFO - [Train Regular Models] Epoch [10/25], Train Loss: 0.3176, Val Loss: 0.4782, Train Acc: 0.9688, Val Acc: 0.8121
2026-07-12 01:18:10,072 - INFO - [Train Regular Models] Epoch [11/25], Train Loss: 0.3349, Val Loss: 0.7027, Train Acc: 0.9492, Val Acc: 0.5369
2026-07-12 01:18:29,254 - INFO - [Train Regular Models] Epoch [12/25], Train Loss: 0.3131, Val Loss: 0.5981, Train Acc: 0.9453, Val Acc: 0.7450
2026-07-12 01:18:29,392 - INFO - [Train Regular Models] Model saved at epoch 12
2026-07-12 01:18:48,574 - INFO - [Train Regular Models] Epoch [13/25], Train Loss: 0.2669, Val Loss: 0.5345, Train Acc: 0.9727, Val Acc: 0.7517
2026-07-12 01:19:07,769 - INFO - [Train Regular Models] Epoch [14/25], Train Loss: 0.2534, Val Loss: 0.4400, Train Acc: 0.9668, Val Acc: 0.8658
2026-07-12 01:19:26,967 - INFO - [Train Regular Models] Epoch [15/25], Train Loss: 0.2331, Val Loss: 0.4668, Train Acc: 0.9766, Val Acc: 0.7584
2026-07-12 01:19:46,165 - INFO - [Train Regular Models] Epoch [16/25], Train Loss: 0.2305, Val Loss: 0.6008, Train Acc: 0.9746, Val Acc: 0.5906
2026-07-12 01:20:05,357 - INFO - [Train Regular Models] Epoch [17/25], Train Loss: 0.2109, Val Loss: 0.4614, Train Acc: 0.9844, Val Acc: 0.8255
2026-07-12 01:20:24,564 - INFO - [Train Regular Models] Epoch [18/25], Train Loss: 0.2054, Val Loss: 0.5108, Train Acc: 0.9824, Val Acc: 0.6846
2026-07-12 01:20:24,704 - INFO - [Train Regular Models] Model saved at epoch 18
2026-07-12 01:20:43,885 - INFO - [Train Regular Models] Epoch [19/25], Train Loss: 0.1907, Val Loss: 0.4913, Train Acc: 0.9727, Val Acc: 0.8523
2026-07-12 01:21:03,077 - INFO - [Train Regular Models] Epoch [20/25], Train Loss: 0.1917, Val Loss: 0.4436, Train Acc: 0.9805, Val Acc: 0.8456
2026-07-12 01:21:22,271 - INFO - [Train Regular Models] Epoch [21/25], Train Loss: 0.1740, Val Loss: 0.5998, Train Acc: 0.9766, Val Acc: 0.6644
2026-07-12 01:21:41,460 - INFO - [Train Regular Models] Epoch [22/25], Train Loss: 0.1564, Val Loss: 0.4564, Train Acc: 0.9805, Val Acc: 0.7450
2026-07-12 01:22:00,677 - INFO - [Train Regular Models] Epoch [23/25], Train Loss: 0.1539, Val Loss: 0.5086, Train Acc: 0.9844, Val Acc: 0.7248
2026-07-12 01:22:19,876 - INFO - [Train Regular Models] Epoch [24/25], Train Loss: 0.1452, Val Loss: 0.4215, Train Acc: 0.9805, Val Acc: 0.8255
2026-07-12 01:22:20,017 - INFO - [Train Regular Models] Model saved at epoch 24
2026-07-12 01:22:39,224 - INFO - [Train Regular Models] Epoch [25/25], Train Loss: 0.1326, Val Loss: 0.4719, Train Acc: 0.9863, Val Acc: 0.8658
2026-07-12 01:22:40,173 - INFO - [Train Regular Models] Run 10/30 - Test Loss: 0.4363, Test Accuracy: 0.9072
2026-07-12 01:22:40,269 - INFO - [Train Regular Models] Model saved to outputs/exp1/normal_models/model_10.pt
2026-07-12 01:22:40,542 - INFO - [Train Regular Models] Training model 11/30 (seed 52)...
2026-07-12 01:22:59,793 - INFO - [Train Regular Models] Epoch [1/25], Train Loss: 0.5674, Val Loss: 0.6786, Train Acc: 0.7871, Val Acc: 0.4698
2026-07-12 01:23:18,977 - INFO - [Train Regular Models] Epoch [2/25], Train Loss: 0.4873, Val Loss: 0.6615, Train Acc: 0.8789, Val Acc: 0.6913
2026-07-12 01:23:38,157 - INFO - [Train Regular Models] Epoch [3/25], Train Loss: 0.4496, Val Loss: 0.6852, Train Acc: 0.9316, Val Acc: 0.5034
2026-07-12 01:23:57,373 - INFO - [Train Regular Models] Epoch [4/25], Train Loss: 0.4050, Val Loss: 0.6664, Train Acc: 0.9570, Val Acc: 0.5168
2026-07-12 01:24:16,567 - INFO - [Train Regular Models] Epoch [5/25], Train Loss: 0.3803, Val Loss: 0.5743, Train Acc: 0.9629, Val Acc: 0.7919
2026-07-12 01:24:35,751 - INFO - [Train Regular Models] Epoch [6/25], Train Loss: 0.3542, Val Loss: 0.6255, Train Acc: 0.9648, Val Acc: 0.5973
2026-07-12 01:24:35,891 - INFO - [Train Regular Models] Model saved at epoch 6
2026-07-12 01:24:55,054 - INFO - [Train Regular Models] Epoch [7/25], Train Loss: 0.3319, Val Loss: 0.5873, Train Acc: 0.9727, Val Acc: 0.6107
2026-07-12 01:25:14,239 - INFO - [Train Regular Models] Epoch [8/25], Train Loss: 0.3127, Val Loss: 0.8136, Train Acc: 0.9766, Val Acc: 0.4832
2026-07-12 01:25:33,446 - INFO - [Train Regular Models] Epoch [9/25], Train Loss: 0.3119, Val Loss: 0.5636, Train Acc: 0.9766, Val Acc: 0.8188
2026-07-12 01:25:52,619 - INFO - [Train Regular Models] Epoch [10/25], Train Loss: 0.2874, Val Loss: 0.6247, Train Acc: 0.9785, Val Acc: 0.6846
2026-07-12 01:26:11,797 - INFO - [Train Regular Models] Epoch [11/25], Train Loss: 0.2692, Val Loss: 0.6021, Train Acc: 0.9805, Val Acc: 0.6846
2026-07-12 01:26:30,996 - INFO - [Train Regular Models] Epoch [12/25], Train Loss: 0.2596, Val Loss: 0.6168, Train Acc: 0.9668, Val Acc: 0.6577
2026-07-12 01:26:31,134 - INFO - [Train Regular Models] Model saved at epoch 12
2026-07-12 01:26:50,325 - INFO - [Train Regular Models] Epoch [13/25], Train Loss: 0.2473, Val Loss: 0.6598, Train Acc: 0.9746, Val Acc: 0.5839
2026-07-12 01:27:09,541 - INFO - [Train Regular Models] Epoch [14/25], Train Loss: 0.2298, Val Loss: 0.6751, Train Acc: 0.9766, Val Acc: 0.5772
2026-07-12 01:27:28,726 - INFO - [Train Regular Models] Epoch [15/25], Train Loss: 0.2146, Val Loss: 0.6931, Train Acc: 0.9824, Val Acc: 0.5570
2026-07-12 01:27:47,905 - INFO - [Train Regular Models] Epoch [16/25], Train Loss: 0.2079, Val Loss: 0.6673, Train Acc: 0.9746, Val Acc: 0.5839
2026-07-12 01:28:07,092 - INFO - [Train Regular Models] Epoch [17/25], Train Loss: 0.1878, Val Loss: 0.5538, Train Acc: 0.9824, Val Acc: 0.6577
2026-07-12 01:28:26,258 - INFO - [Train Regular Models] Epoch [18/25], Train Loss: 0.1794, Val Loss: 0.6319, Train Acc: 0.9863, Val Acc: 0.5839
2026-07-12 01:28:26,400 - INFO - [Train Regular Models] Model saved at epoch 18
2026-07-12 01:28:45,587 - INFO - [Train Regular Models] Epoch [19/25], Train Loss: 0.1658, Val Loss: 0.5629, Train Acc: 0.9805, Val Acc: 0.6913
2026-07-12 01:29:04,778 - INFO - [Train Regular Models] Epoch [20/25], Train Loss: 0.1664, Val Loss: 0.6419, Train Acc: 0.9844, Val Acc: 0.5839
2026-07-12 01:29:23,974 - INFO - [Train Regular Models] Epoch [21/25], Train Loss: 0.1585, Val Loss: 0.5404, Train Acc: 0.9844, Val Acc: 0.6913
2026-07-12 01:29:43,181 - INFO - [Train Regular Models] Epoch [22/25], Train Loss: 0.1565, Val Loss: 0.5652, Train Acc: 0.9785, Val Acc: 0.7785
2026-07-12 01:30:02,371 - INFO - [Train Regular Models] Epoch [23/25], Train Loss: 0.1437, Val Loss: 0.4651, Train Acc: 0.9805, Val Acc: 0.8389
2026-07-12 01:30:21,559 - INFO - [Train Regular Models] Epoch [24/25], Train Loss: 0.1228, Val Loss: 0.4903, Train Acc: 0.9824, Val Acc: 0.7383
2026-07-12 01:30:21,702 - INFO - [Train Regular Models] Model saved at epoch 24
2026-07-12 01:30:40,909 - INFO - [Train Regular Models] Epoch [25/25], Train Loss: 0.1304, Val Loss: 0.5025, Train Acc: 0.9824, Val Acc: 0.7248
2026-07-12 01:30:41,857 - INFO - [Train Regular Models] Run 11/30 - Test Loss: 0.3934, Test Accuracy: 0.8247
2026-07-12 01:30:41,948 - INFO - [Train Regular Models] Model saved to outputs/exp1/normal_models/model_11.pt
2026-07-12 01:30:42,223 - INFO - [Train Regular Models] Training model 12/30 (seed 53)...
2026-07-12 01:31:01,471 - INFO - [Train Regular Models] Epoch [1/25], Train Loss: 0.5124, Val Loss: 0.5529, Train Acc: 0.8125, Val Acc: 0.8054
2026-07-12 01:31:20,645 - INFO - [Train Regular Models] Epoch [2/25], Train Loss: 0.3650, Val Loss: 0.7088, Train Acc: 0.9121, Val Acc: 0.5302
2026-07-12 01:31:39,828 - INFO - [Train Regular Models] Epoch [3/25], Train Loss: 0.3072, Val Loss: 0.7079, Train Acc: 0.9629, Val Acc: 0.5503
2026-07-12 01:31:59,002 - INFO - [Train Regular Models] Epoch [4/25], Train Loss: 0.2818, Val Loss: 0.5898, Train Acc: 0.9707, Val Acc: 0.6711
2026-07-12 01:32:18,172 - INFO - [Train Regular Models] Epoch [5/25], Train Loss: 0.2630, Val Loss: 0.5241, Train Acc: 0.9707, Val Acc: 0.7785
2026-07-12 01:32:37,364 - INFO - [Train Regular Models] Epoch [6/25], Train Loss: 0.2464, Val Loss: 0.5755, Train Acc: 0.9746, Val Acc: 0.6711
2026-07-12 01:32:37,504 - INFO - [Train Regular Models] Model saved at epoch 6
2026-07-12 01:32:56,681 - INFO - [Train Regular Models] Epoch [7/25], Train Loss: 0.2287, Val Loss: 0.7725, Train Acc: 0.9746, Val Acc: 0.5503
2026-07-12 01:33:15,865 - INFO - [Train Regular Models] Epoch [8/25], Train Loss: 0.1962, Val Loss: 0.8819, Train Acc: 0.9766, Val Acc: 0.4899
2026-07-12 01:33:35,041 - INFO - [Train Regular Models] Epoch [9/25], Train Loss: 0.1794, Val Loss: 0.6592, Train Acc: 0.9766, Val Acc: 0.5570
2026-07-12 01:33:54,226 - INFO - [Train Regular Models] Epoch [10/25], Train Loss: 0.1645, Val Loss: 0.7101, Train Acc: 0.9805, Val Acc: 0.5503
2026-07-12 01:34:13,410 - INFO - [Train Regular Models] Epoch [11/25], Train Loss: 0.1682, Val Loss: 0.6942, Train Acc: 0.9727, Val Acc: 0.5638
2026-07-12 01:34:32,591 - INFO - [Train Regular Models] Epoch [12/25], Train Loss: 0.1590, Val Loss: 0.5013, Train Acc: 0.9805, Val Acc: 0.7987
2026-07-12 01:34:32,729 - INFO - [Train Regular Models] Model saved at epoch 12
2026-07-12 01:34:51,911 - INFO - [Train Regular Models] Epoch [13/25], Train Loss: 0.1544, Val Loss: 0.8123, Train Acc: 0.9785, Val Acc: 0.5503
2026-07-12 01:35:11,091 - INFO - [Train Regular Models] Epoch [14/25], Train Loss: 0.1343, Val Loss: 0.8216, Train Acc: 0.9844, Val Acc: 0.5235
2026-07-12 01:35:30,281 - INFO - [Train Regular Models] Epoch [15/25], Train Loss: 0.1244, Val Loss: 0.5831, Train Acc: 0.9785, Val Acc: 0.6040
2026-07-12 01:35:49,456 - INFO - [Train Regular Models] Epoch [16/25], Train Loss: 0.1235, Val Loss: 0.7612, Train Acc: 0.9746, Val Acc: 0.5570
2026-07-12 01:36:08,643 - INFO - [Train Regular Models] Epoch [17/25], Train Loss: 0.1137, Val Loss: 0.5571, Train Acc: 0.9746, Val Acc: 0.6309
2026-07-12 01:36:27,840 - INFO - [Train Regular Models] Epoch [18/25], Train Loss: 0.1034, Val Loss: 0.6616, Train Acc: 0.9824, Val Acc: 0.6107
2026-07-12 01:36:27,983 - INFO - [Train Regular Models] Model saved at epoch 18
2026-07-12 01:36:47,161 - INFO - [Train Regular Models] Epoch [19/25], Train Loss: 0.1071, Val Loss: 0.4259, Train Acc: 0.9824, Val Acc: 0.8054
2026-07-12 01:37:06,362 - INFO - [Train Regular Models] Epoch [20/25], Train Loss: 0.0947, Val Loss: 0.5125, Train Acc: 0.9805, Val Acc: 0.7047
2026-07-12 01:37:25,546 - INFO - [Train Regular Models] Epoch [21/25], Train Loss: 0.1021, Val Loss: 0.4721, Train Acc: 0.9785, Val Acc: 0.8121
2026-07-12 01:37:44,721 - INFO - [Train Regular Models] Epoch [22/25], Train Loss: 0.0906, Val Loss: 0.7057, Train Acc: 0.9863, Val Acc: 0.5570
2026-07-12 01:38:03,921 - INFO - [Train Regular Models] Epoch [23/25], Train Loss: 0.0968, Val Loss: 0.6669, Train Acc: 0.9785, Val Acc: 0.5705
2026-07-12 01:38:23,093 - INFO - [Train Regular Models] Epoch [24/25], Train Loss: 0.0906, Val Loss: 0.4187, Train Acc: 0.9766, Val Acc: 0.8658
2026-07-12 01:38:23,235 - INFO - [Train Regular Models] Model saved at epoch 24
2026-07-12 01:38:42,426 - INFO - [Train Regular Models] Epoch [25/25], Train Loss: 0.0862, Val Loss: 0.5767, Train Acc: 0.9824, Val Acc: 0.6242
2026-07-12 01:38:43,374 - INFO - [Train Regular Models] Run 12/30 - Test Loss: 0.4682, Test Accuracy: 0.7835
2026-07-12 01:38:43,464 - INFO - [Train Regular Models] Model saved to outputs/exp1/normal_models/model_12.pt
2026-07-12 01:38:43,738 - INFO - [Train Regular Models] Training model 13/30 (seed 54)...
2026-07-12 01:39:03,006 - INFO - [Train Regular Models] Epoch [1/25], Train Loss: 0.5606, Val Loss: 0.7034, Train Acc: 0.7480, Val Acc: 0.5034
2026-07-12 01:39:22,206 - INFO - [Train Regular Models] Epoch [2/25], Train Loss: 0.4128, Val Loss: 0.6997, Train Acc: 0.9160, Val Acc: 0.4966
2026-07-12 01:39:41,396 - INFO - [Train Regular Models] Epoch [3/25], Train Loss: 0.3865, Val Loss: 0.6767, Train Acc: 0.9238, Val Acc: 0.5168
2026-07-12 01:40:00,589 - INFO - [Train Regular Models] Epoch [4/25], Train Loss: 0.3253, Val Loss: 0.6313, Train Acc: 0.9590, Val Acc: 0.5369
2026-07-12 01:40:19,770 - INFO - [Train Regular Models] Epoch [5/25], Train Loss: 0.2967, Val Loss: 0.5981, Train Acc: 0.9648, Val Acc: 0.6174
2026-07-12 01:40:38,941 - INFO - [Train Regular Models] Epoch [6/25], Train Loss: 0.2527, Val Loss: 0.4939, Train Acc: 0.9688, Val Acc: 0.8188
2026-07-12 01:40:39,084 - INFO - [Train Regular Models] Model saved at epoch 6
2026-07-12 01:40:58,262 - INFO - [Train Regular Models] Epoch [7/25], Train Loss: 0.2454, Val Loss: 0.6749, Train Acc: 0.9805, Val Acc: 0.5369
2026-07-12 01:41:17,430 - INFO - [Train Regular Models] Epoch [8/25], Train Loss: 0.2233, Val Loss: 0.6713, Train Acc: 0.9707, Val Acc: 0.5503
2026-07-12 01:41:36,612 - INFO - [Train Regular Models] Epoch [9/25], Train Loss: 0.2026, Val Loss: 0.7443, Train Acc: 0.9766, Val Acc: 0.5302
2026-07-12 01:41:55,781 - INFO - [Train Regular Models] Epoch [10/25], Train Loss: 0.2043, Val Loss: 0.5985, Train Acc: 0.9805, Val Acc: 0.6040
2026-07-12 01:42:14,976 - INFO - [Train Regular Models] Epoch [11/25], Train Loss: 0.1841, Val Loss: 0.6493, Train Acc: 0.9746, Val Acc: 0.5772
2026-07-12 01:42:34,175 - INFO - [Train Regular Models] Epoch [12/25], Train Loss: 0.1730, Val Loss: 0.5976, Train Acc: 0.9668, Val Acc: 0.6174
2026-07-12 01:42:34,316 - INFO - [Train Regular Models] Model saved at epoch 12
2026-07-12 01:42:53,524 - INFO - [Train Regular Models] Epoch [13/25], Train Loss: 0.1650, Val Loss: 0.6948, Train Acc: 0.9844, Val Acc: 0.5369
2026-07-12 01:43:12,706 - INFO - [Train Regular Models] Epoch [14/25], Train Loss: 0.1518, Val Loss: 0.6271, Train Acc: 0.9805, Val Acc: 0.5705
2026-07-12 01:43:31,903 - INFO - [Train Regular Models] Epoch [15/25], Train Loss: 0.1300, Val Loss: 0.4918, Train Acc: 0.9844, Val Acc: 0.8188
2026-07-12 01:43:51,091 - INFO - [Train Regular Models] Epoch [16/25], Train Loss: 0.1261, Val Loss: 0.5936, Train Acc: 0.9902, Val Acc: 0.5973
2026-07-12 01:44:10,282 - INFO - [Train Regular Models] Epoch [17/25], Train Loss: 0.1302, Val Loss: 0.5963, Train Acc: 0.9727, Val Acc: 0.6913
2026-07-12 01:44:29,459 - INFO - [Train Regular Models] Epoch [18/25], Train Loss: 0.1225, Val Loss: 0.4045, Train Acc: 0.9824, Val Acc: 0.8658
2026-07-12 01:44:29,599 - INFO - [Train Regular Models] Model saved at epoch 18
2026-07-12 01:44:48,813 - INFO - [Train Regular Models] Epoch [19/25], Train Loss: 0.1140, Val Loss: 0.6009, Train Acc: 0.9805, Val Acc: 0.5973
2026-07-12 01:45:07,993 - INFO - [Train Regular Models] Epoch [20/25], Train Loss: 0.1317, Val Loss: 0.4556, Train Acc: 0.9727, Val Acc: 0.8456
2026-07-12 01:45:27,181 - INFO - [Train Regular Models] Epoch [21/25], Train Loss: 0.1153, Val Loss: 0.5373, Train Acc: 0.9824, Val Acc: 0.8188
2026-07-12 01:45:46,381 - INFO - [Train Regular Models] Epoch [22/25], Train Loss: 0.1004, Val Loss: 0.4943, Train Acc: 0.9883, Val Acc: 0.7785
2026-07-12 01:46:05,585 - INFO - [Train Regular Models] Epoch [23/25], Train Loss: 0.1091, Val Loss: 0.5025, Train Acc: 0.9785, Val Acc: 0.7785
2026-07-12 01:46:24,795 - INFO - [Train Regular Models] Epoch [24/25], Train Loss: 0.0923, Val Loss: 0.6674, Train Acc: 0.9902, Val Acc: 0.5705
2026-07-12 01:46:24,934 - INFO - [Train Regular Models] Model saved at epoch 24
2026-07-12 01:46:44,126 - INFO - [Train Regular Models] Epoch [25/25], Train Loss: 0.0951, Val Loss: 0.4191, Train Acc: 0.9785, Val Acc: 0.8658
2026-07-12 01:46:45,084 - INFO - [Train Regular Models] Run 13/30 - Test Loss: 0.3815, Test Accuracy: 0.9072
2026-07-12 01:46:45,179 - INFO - [Train Regular Models] Model saved to outputs/exp1/normal_models/model_13.pt
2026-07-12 01:46:45,456 - INFO - [Train Regular Models] Training model 14/30 (seed 55)...
2026-07-12 01:47:04,729 - INFO - [Train Regular Models] Epoch [1/25], Train Loss: 0.5133, Val Loss: 0.7028, Train Acc: 0.7754, Val Acc: 0.5168
2026-07-12 01:47:23,931 - INFO - [Train Regular Models] Epoch [2/25], Train Loss: 0.3537, Val Loss: 0.5494, Train Acc: 0.9219, Val Acc: 0.7248
2026-07-12 01:47:43,118 - INFO - [Train Regular Models] Epoch [3/25], Train Loss: 0.3429, Val Loss: 0.7262, Train Acc: 0.9180, Val Acc: 0.5503
2026-07-12 01:48:02,289 - INFO - [Train Regular Models] Epoch [4/25], Train Loss: 0.2859, Val Loss: 0.6219, Train Acc: 0.9570, Val Acc: 0.6443
2026-07-12 01:48:21,484 - INFO - [Train Regular Models] Epoch [5/25], Train Loss: 0.2719, Val Loss: 0.7624, Train Acc: 0.9668, Val Acc: 0.5570
2026-07-12 01:48:40,668 - INFO - [Train Regular Models] Epoch [6/25], Train Loss: 0.2102, Val Loss: 0.5051, Train Acc: 0.9766, Val Acc: 0.7651
2026-07-12 01:48:40,808 - INFO - [Train Regular Models] Model saved at epoch 6
2026-07-12 01:49:00,009 - INFO - [Train Regular Models] Epoch [7/25], Train Loss: 0.2257, Val Loss: 0.9997, Train Acc: 0.9766, Val Acc: 0.5168
2026-07-12 01:49:19,209 - INFO - [Train Regular Models] Epoch [8/25], Train Loss: 0.2159, Val Loss: 0.5414, Train Acc: 0.9688, Val Acc: 0.8054
2026-07-12 01:49:38,405 - INFO - [Train Regular Models] Epoch [9/25], Train Loss: 0.1821, Val Loss: 0.5635, Train Acc: 0.9707, Val Acc: 0.6846
2026-07-12 01:49:57,604 - INFO - [Train Regular Models] Epoch [10/25], Train Loss: 0.1631, Val Loss: 0.7391, Train Acc: 0.9824, Val Acc: 0.5973
2026-07-12 01:50:16,814 - INFO - [Train Regular Models] Epoch [11/25], Train Loss: 0.1681, Val Loss: 0.7706, Train Acc: 0.9824, Val Acc: 0.5570
2026-07-12 01:50:36,004 - INFO - [Train Regular Models] Epoch [12/25], Train Loss: 0.1558, Val Loss: 0.7325, Train Acc: 0.9805, Val Acc: 0.5638
2026-07-12 01:50:36,145 - INFO - [Train Regular Models] Model saved at epoch 12
2026-07-12 01:50:55,329 - INFO - [Train Regular Models] Epoch [13/25], Train Loss: 0.1435, Val Loss: 0.6367, Train Acc: 0.9824, Val Acc: 0.5906
2026-07-12 01:51:14,534 - INFO - [Train Regular Models] Epoch [14/25], Train Loss: 0.1345, Val Loss: 0.4993, Train Acc: 0.9785, Val Acc: 0.7919
2026-07-12 01:51:33,715 - INFO - [Train Regular Models] Epoch [15/25], Train Loss: 0.1234, Val Loss: 0.5078, Train Acc: 0.9824, Val Acc: 0.6913
2026-07-12 01:51:52,916 - INFO - [Train Regular Models] Epoch [16/25], Train Loss: 0.1152, Val Loss: 0.5258, Train Acc: 0.9805, Val Acc: 0.6711
2026-07-12 01:52:12,107 - INFO - [Train Regular Models] Epoch [17/25], Train Loss: 0.1148, Val Loss: 0.5198, Train Acc: 0.9746, Val Acc: 0.7315
2026-07-12 01:52:31,297 - INFO - [Train Regular Models] Epoch [18/25], Train Loss: 0.1012, Val Loss: 0.5428, Train Acc: 0.9824, Val Acc: 0.6577
2026-07-12 01:52:31,436 - INFO - [Train Regular Models] Model saved at epoch 18
2026-07-12 01:52:50,638 - INFO - [Train Regular Models] Epoch [19/25], Train Loss: 0.0953, Val Loss: 0.4352, Train Acc: 0.9805, Val Acc: 0.8389
2026-07-12 01:53:09,853 - INFO - [Train Regular Models] Epoch [20/25], Train Loss: 0.0933, Val Loss: 0.4587, Train Acc: 0.9805, Val Acc: 0.7450
2026-07-12 01:53:29,045 - INFO - [Train Regular Models] Epoch [21/25], Train Loss: 0.0998, Val Loss: 0.5244, Train Acc: 0.9805, Val Acc: 0.7047
2026-07-12 01:53:48,242 - INFO - [Train Regular Models] Epoch [22/25], Train Loss: 0.0892, Val Loss: 0.6742, Train Acc: 0.9805, Val Acc: 0.5705
2026-07-12 01:54:07,443 - INFO - [Train Regular Models] Epoch [23/25], Train Loss: 0.0879, Val Loss: 0.5855, Train Acc: 0.9824, Val Acc: 0.6443
2026-07-12 01:54:26,628 - INFO - [Train Regular Models] Epoch [24/25], Train Loss: 0.0893, Val Loss: 0.4917, Train Acc: 0.9844, Val Acc: 0.8188
2026-07-12 01:54:26,766 - INFO - [Train Regular Models] Model saved at epoch 24
2026-07-12 01:54:45,958 - INFO - [Train Regular Models] Epoch [25/25], Train Loss: 0.0842, Val Loss: 0.6721, Train Acc: 0.9863, Val Acc: 0.5705
2026-07-12 01:54:46,908 - INFO - [Train Regular Models] Run 14/30 - Test Loss: 0.5127, Test Accuracy: 0.6804
2026-07-12 01:54:46,998 - INFO - [Train Regular Models] Model saved to outputs/exp1/normal_models/model_14.pt
2026-07-12 01:54:47,275 - INFO - [Train Regular Models] Training model 15/30 (seed 56)...
2026-07-12 01:55:06,559 - INFO - [Train Regular Models] Epoch [1/25], Train Loss: 0.6166, Val Loss: 0.6808, Train Acc: 0.6719, Val Acc: 0.6309
2026-07-12 01:55:25,766 - INFO - [Train Regular Models] Epoch [2/25], Train Loss: 0.4969, Val Loss: 0.7379, Train Acc: 0.8379, Val Acc: 0.4631
2026-07-12 01:55:44,978 - INFO - [Train Regular Models] Epoch [3/25], Train Loss: 0.4333, Val Loss: 0.7054, Train Acc: 0.9121, Val Acc: 0.4631
2026-07-12 01:56:04,190 - INFO - [Train Regular Models] Epoch [4/25], Train Loss: 0.3907, Val Loss: 0.6791, Train Acc: 0.9434, Val Acc: 0.4832
2026-07-12 01:56:23,379 - INFO - [Train Regular Models] Epoch [5/25], Train Loss: 0.3565, Val Loss: 0.6585, Train Acc: 0.9668, Val Acc: 0.6443
2026-07-12 01:56:42,568 - INFO - [Train Regular Models] Epoch [6/25], Train Loss: 0.3347, Val Loss: 0.6250, Train Acc: 0.9727, Val Acc: 0.6174
2026-07-12 01:56:42,714 - INFO - [Train Regular Models] Model saved at epoch 6
2026-07-12 01:57:01,887 - INFO - [Train Regular Models] Epoch [7/25], Train Loss: 0.3241, Val Loss: 0.8368, Train Acc: 0.9570, Val Acc: 0.4966
2026-07-12 01:57:21,070 - INFO - [Train Regular Models] Epoch [8/25], Train Loss: 0.2896, Val Loss: 0.7449, Train Acc: 0.9766, Val Acc: 0.4966
2026-07-12 01:57:40,280 - INFO - [Train Regular Models] Epoch [9/25], Train Loss: 0.2747, Val Loss: 0.6539, Train Acc: 0.9746, Val Acc: 0.7718
2026-07-12 01:57:59,477 - INFO - [Train Regular Models] Epoch [10/25], Train Loss: 0.2471, Val Loss: 0.5645, Train Acc: 0.9844, Val Acc: 0.6443
2026-07-12 01:58:18,680 - INFO - [Train Regular Models] Epoch [11/25], Train Loss: 0.2457, Val Loss: 0.6924, Train Acc: 0.9727, Val Acc: 0.5503
2026-07-12 01:58:37,865 - INFO - [Train Regular Models] Epoch [12/25], Train Loss: 0.2200, Val Loss: 0.5756, Train Acc: 0.9785, Val Acc: 0.7785
2026-07-12 01:58:38,003 - INFO - [Train Regular Models] Model saved at epoch 12
2026-07-12 01:58:57,202 - INFO - [Train Regular Models] Epoch [13/25], Train Loss: 0.2075, Val Loss: 0.7738, Train Acc: 0.9863, Val Acc: 0.5369
2026-07-12 01:59:16,377 - INFO - [Train Regular Models] Epoch [14/25], Train Loss: 0.2128, Val Loss: 1.0608, Train Acc: 0.9824, Val Acc: 0.4698
2026-07-12 01:59:35,585 - INFO - [Train Regular Models] Epoch [15/25], Train Loss: 0.1919, Val Loss: 0.6380, Train Acc: 0.9785, Val Acc: 0.5906
2026-07-12 01:59:54,774 - INFO - [Train Regular Models] Epoch [16/25], Train Loss: 0.1761, Val Loss: 0.6716, Train Acc: 0.9824, Val Acc: 0.5638
2026-07-12 02:00:13,993 - INFO - [Train Regular Models] Epoch [17/25], Train Loss: 0.1719, Val Loss: 0.9217, Train Acc: 0.9805, Val Acc: 0.5034
2026-07-12 02:00:33,217 - INFO - [Train Regular Models] Epoch [18/25], Train Loss: 0.1633, Val Loss: 0.5424, Train Acc: 0.9805, Val Acc: 0.6577
2026-07-12 02:00:33,359 - INFO - [Train Regular Models] Model saved at epoch 18
2026-07-12 02:00:52,557 - INFO - [Train Regular Models] Epoch [19/25], Train Loss: 0.1546, Val Loss: 0.6184, Train Acc: 0.9766, Val Acc: 0.5705
2026-07-12 02:01:11,766 - INFO - [Train Regular Models] Epoch [20/25], Train Loss: 0.1490, Val Loss: 0.4604, Train Acc: 0.9785, Val Acc: 0.8389
2026-07-12 02:01:30,975 - INFO - [Train Regular Models] Epoch [21/25], Train Loss: 0.1337, Val Loss: 0.5400, Train Acc: 0.9766, Val Acc: 0.7919
2026-07-12 02:01:50,191 - INFO - [Train Regular Models] Epoch [22/25], Train Loss: 0.1375, Val Loss: 0.4873, Train Acc: 0.9766, Val Acc: 0.8322
2026-07-12 02:02:09,401 - INFO - [Train Regular Models] Epoch [23/25], Train Loss: 0.1286, Val Loss: 0.6687, Train Acc: 0.9844, Val Acc: 0.5906
2026-07-12 02:02:28,633 - INFO - [Train Regular Models] Epoch [24/25], Train Loss: 0.1248, Val Loss: 0.6368, Train Acc: 0.9805, Val Acc: 0.5839
2026-07-12 02:02:28,773 - INFO - [Train Regular Models] Model saved at epoch 24
2026-07-12 02:02:47,965 - INFO - [Train Regular Models] Epoch [25/25], Train Loss: 0.1144, Val Loss: 0.4652, Train Acc: 0.9844, Val Acc: 0.8322
2026-07-12 02:02:48,906 - INFO - [Train Regular Models] Run 15/30 - Test Loss: 0.4458, Test Accuracy: 0.8763
2026-07-12 02:02:49,000 - INFO - [Train Regular Models] Model saved to outputs/exp1/normal_models/model_15.pt
2026-07-12 02:02:49,275 - INFO - [Train Regular Models] Training model 16/30 (seed 57)...
2026-07-12 02:03:08,574 - INFO - [Train Regular Models] Epoch [1/25], Train Loss: 0.5634, Val Loss: 0.7116, Train Acc: 0.8145, Val Acc: 0.4631
2026-07-12 02:03:27,835 - INFO - [Train Regular Models] Epoch [2/25], Train Loss: 0.4557, Val Loss: 0.6753, Train Acc: 0.9043, Val Acc: 0.5436
2026-07-12 02:03:47,038 - INFO - [Train Regular Models] Epoch [3/25], Train Loss: 0.4237, Val Loss: 0.6433, Train Acc: 0.9492, Val Acc: 0.5638
2026-07-12 02:04:06,249 - INFO - [Train Regular Models] Epoch [4/25], Train Loss: 0.3771, Val Loss: 0.5613, Train Acc: 0.9590, Val Acc: 0.7987
2026-07-12 02:04:25,446 - INFO - [Train Regular Models] Epoch [5/25], Train Loss: 0.3585, Val Loss: 0.5061, Train Acc: 0.9648, Val Acc: 0.8523
2026-07-12 02:04:44,645 - INFO - [Train Regular Models] Epoch [6/25], Train Loss: 0.3334, Val Loss: 0.6848, Train Acc: 0.9727, Val Acc: 0.5705
2026-07-12 02:04:44,786 - INFO - [Train Regular Models] Model saved at epoch 6
2026-07-12 02:05:03,994 - INFO - [Train Regular Models] Epoch [7/25], Train Loss: 0.3192, Val Loss: 0.6551, Train Acc: 0.9727, Val Acc: 0.5772
2026-07-12 02:05:23,188 - INFO - [Train Regular Models] Epoch [8/25], Train Loss: 0.2920, Val Loss: 0.6724, Train Acc: 0.9805, Val Acc: 0.5705
2026-07-12 02:05:42,376 - INFO - [Train Regular Models] Epoch [9/25], Train Loss: 0.2698, Val Loss: 0.5918, Train Acc: 0.9766, Val Acc: 0.6107
2026-07-12 02:06:01,590 - INFO - [Train Regular Models] Epoch [10/25], Train Loss: 0.2696, Val Loss: 0.6485, Train Acc: 0.9766, Val Acc: 0.6040
2026-07-12 02:06:20,800 - INFO - [Train Regular Models] Epoch [11/25], Train Loss: 0.2464, Val Loss: 0.5246, Train Acc: 0.9805, Val Acc: 0.7852
2026-07-12 02:06:40,017 - INFO - [Train Regular Models] Epoch [12/25], Train Loss: 0.2209, Val Loss: 0.7206, Train Acc: 0.9863, Val Acc: 0.5503
2026-07-12 02:06:40,155 - INFO - [Train Regular Models] Model saved at epoch 12
2026-07-12 02:06:59,367 - INFO - [Train Regular Models] Epoch [13/25], Train Loss: 0.2104, Val Loss: 0.6247, Train Acc: 0.9805, Val Acc: 0.5973
2026-07-12 02:07:18,590 - INFO - [Train Regular Models] Epoch [14/25], Train Loss: 0.2086, Val Loss: 0.6014, Train Acc: 0.9805, Val Acc: 0.6242
2026-07-12 02:07:37,811 - INFO - [Train Regular Models] Epoch [15/25], Train Loss: 0.1940, Val Loss: 0.5702, Train Acc: 0.9824, Val Acc: 0.6913
2026-07-12 02:07:57,032 - INFO - [Train Regular Models] Epoch [16/25], Train Loss: 0.1856, Val Loss: 0.7352, Train Acc: 0.9824, Val Acc: 0.5369
2026-07-12 02:08:16,231 - INFO - [Train Regular Models] Epoch [17/25], Train Loss: 0.1821, Val Loss: 0.6209, Train Acc: 0.9805, Val Acc: 0.6309
2026-07-12 02:08:35,449 - INFO - [Train Regular Models] Epoch [18/25], Train Loss: 0.1641, Val Loss: 0.4907, Train Acc: 0.9785, Val Acc: 0.8054
2026-07-12 02:08:35,589 - INFO - [Train Regular Models] Model saved at epoch 18
2026-07-12 02:08:54,806 - INFO - [Train Regular Models] Epoch [19/25], Train Loss: 0.1619, Val Loss: 0.6158, Train Acc: 0.9785, Val Acc: 0.5906
2026-07-12 02:09:14,024 - INFO - [Train Regular Models] Epoch [20/25], Train Loss: 0.1498, Val Loss: 0.6679, Train Acc: 0.9844, Val Acc: 0.5772
2026-07-12 02:09:33,226 - INFO - [Train Regular Models] Epoch [21/25], Train Loss: 0.1319, Val Loss: 0.5460, Train Acc: 0.9863, Val Acc: 0.7651
2026-07-12 02:09:52,461 - INFO - [Train Regular Models] Epoch [22/25], Train Loss: 0.1527, Val Loss: 0.6850, Train Acc: 0.9805, Val Acc: 0.5772
2026-07-12 02:10:11,672 - INFO - [Train Regular Models] Epoch [23/25], Train Loss: 0.1284, Val Loss: 0.6950, Train Acc: 0.9824, Val Acc: 0.5906
2026-07-12 02:10:30,884 - INFO - [Train Regular Models] Epoch [24/25], Train Loss: 0.1366, Val Loss: 0.5736, Train Acc: 0.9824, Val Acc: 0.6577
2026-07-12 02:10:31,022 - INFO - [Train Regular Models] Model saved at epoch 24
2026-07-12 02:10:50,243 - INFO - [Train Regular Models] Epoch [25/25], Train Loss: 0.1144, Val Loss: 0.5717, Train Acc: 0.9844, Val Acc: 0.6443
2026-07-12 02:10:51,193 - INFO - [Train Regular Models] Run 16/30 - Test Loss: 0.4331, Test Accuracy: 0.7526
2026-07-12 02:10:51,283 - INFO - [Train Regular Models] Model saved to outputs/exp1/normal_models/model_16.pt
2026-07-12 02:10:51,563 - INFO - [Train Regular Models] Training model 17/30 (seed 58)...
2026-07-12 02:11:10,845 - INFO - [Train Regular Models] Epoch [1/25], Train Loss: 0.5838, Val Loss: 0.6696, Train Acc: 0.7305, Val Acc: 0.4698
2026-07-12 02:11:30,036 - INFO - [Train Regular Models] Epoch [2/25], Train Loss: 0.4951, Val Loss: 0.6823, Train Acc: 0.8613, Val Acc: 0.4899
2026-07-12 02:11:49,246 - INFO - [Train Regular Models] Epoch [3/25], Train Loss: 0.4570, Val Loss: 0.6583, Train Acc: 0.9102, Val Acc: 0.5436
2026-07-12 02:12:08,446 - INFO - [Train Regular Models] Epoch [4/25], Train Loss: 0.4174, Val Loss: 0.7200, Train Acc: 0.9395, Val Acc: 0.4966
2026-07-12 02:12:27,636 - INFO - [Train Regular Models] Epoch [5/25], Train Loss: 0.3808, Val Loss: 0.6062, Train Acc: 0.9688, Val Acc: 0.5906
2026-07-12 02:12:46,824 - INFO - [Train Regular Models] Epoch [6/25], Train Loss: 0.3593, Val Loss: 0.5865, Train Acc: 0.9824, Val Acc: 0.6779
2026-07-12 02:12:46,967 - INFO - [Train Regular Models] Model saved at epoch 6
2026-07-12 02:13:06,178 - INFO - [Train Regular Models] Epoch [7/25], Train Loss: 0.3398, Val Loss: 0.5600, Train Acc: 0.9707, Val Acc: 0.7450
2026-07-12 02:13:25,361 - INFO - [Train Regular Models] Epoch [8/25], Train Loss: 0.3200, Val Loss: 0.6847, Train Acc: 0.9824, Val Acc: 0.5638
2026-07-12 02:13:44,563 - INFO - [Train Regular Models] Epoch [9/25], Train Loss: 0.3145, Val Loss: 0.6347, Train Acc: 0.9746, Val Acc: 0.5973
2026-07-12 02:14:03,761 - INFO - [Train Regular Models] Epoch [10/25], Train Loss: 0.2879, Val Loss: 0.6313, Train Acc: 0.9785, Val Acc: 0.5906
2026-07-12 02:14:22,972 - INFO - [Train Regular Models] Epoch [11/25], Train Loss: 0.2740, Val Loss: 0.5581, Train Acc: 0.9844, Val Acc: 0.7383
2026-07-12 02:14:42,176 - INFO - [Train Regular Models] Epoch [12/25], Train Loss: 0.2568, Val Loss: 0.6512, Train Acc: 0.9805, Val Acc: 0.5906
2026-07-12 02:14:42,312 - INFO - [Train Regular Models] Model saved at epoch 12
2026-07-12 02:15:01,500 - INFO - [Train Regular Models] Epoch [13/25], Train Loss: 0.2402, Val Loss: 0.5621, Train Acc: 0.9805, Val Acc: 0.7181
2026-07-12 02:15:20,710 - INFO - [Train Regular Models] Epoch [14/25], Train Loss: 0.2301, Val Loss: 1.0158, Train Acc: 0.9883, Val Acc: 0.5034
2026-07-12 02:15:39,917 - INFO - [Train Regular Models] Epoch [15/25], Train Loss: 0.2242, Val Loss: 0.6560, Train Acc: 0.9805, Val Acc: 0.5906
2026-07-12 02:15:59,134 - INFO - [Train Regular Models] Epoch [16/25], Train Loss: 0.2189, Val Loss: 0.7129, Train Acc: 0.9766, Val Acc: 0.5369
2026-07-12 02:16:18,341 - INFO - [Train Regular Models] Epoch [17/25], Train Loss: 0.1943, Val Loss: 0.7530, Train Acc: 0.9844, Val Acc: 0.5503
2026-07-12 02:16:37,551 - INFO - [Train Regular Models] Epoch [18/25], Train Loss: 0.2038, Val Loss: 0.6365, Train Acc: 0.9785, Val Acc: 0.6242
2026-07-12 02:16:37,690 - INFO - [Train Regular Models] Model saved at epoch 18
2026-07-12 02:16:56,893 - INFO - [Train Regular Models] Epoch [19/25], Train Loss: 0.1871, Val Loss: 0.6586, Train Acc: 0.9707, Val Acc: 0.5906
2026-07-12 02:17:16,107 - INFO - [Train Regular Models] Epoch [20/25], Train Loss: 0.1926, Val Loss: 0.5417, Train Acc: 0.9805, Val Acc: 0.7383
2026-07-12 02:17:35,314 - INFO - [Train Regular Models] Epoch [21/25], Train Loss: 0.1749, Val Loss: 0.6381, Train Acc: 0.9844, Val Acc: 0.6040
2026-07-12 02:17:54,538 - INFO - [Train Regular Models] Epoch [22/25], Train Loss: 0.1580, Val Loss: 0.8015, Train Acc: 0.9883, Val Acc: 0.5570
2026-07-12 02:18:13,756 - INFO - [Train Regular Models] Epoch [23/25], Train Loss: 0.1602, Val Loss: 0.5488, Train Acc: 0.9824, Val Acc: 0.6443
2026-07-12 02:18:32,969 - INFO - [Train Regular Models] Epoch [24/25], Train Loss: 0.1463, Val Loss: 0.5445, Train Acc: 0.9824, Val Acc: 0.7383
2026-07-12 02:18:33,109 - INFO - [Train Regular Models] Model saved at epoch 24
2026-07-12 02:18:52,326 - INFO - [Train Regular Models] Epoch [25/25], Train Loss: 0.1421, Val Loss: 0.5224, Train Acc: 0.9863, Val Acc: 0.7517
2026-07-12 02:18:53,276 - INFO - [Train Regular Models] Run 17/30 - Test Loss: 0.4504, Test Accuracy: 0.8557
2026-07-12 02:18:53,365 - INFO - [Train Regular Models] Model saved to outputs/exp1/normal_models/model_17.pt
2026-07-12 02:18:53,643 - INFO - [Train Regular Models] Training model 18/30 (seed 59)...
2026-07-12 02:19:12,928 - INFO - [Train Regular Models] Epoch [1/25], Train Loss: 0.5863, Val Loss: 0.7246, Train Acc: 0.8027, Val Acc: 0.4698
2026-07-12 02:19:32,122 - INFO - [Train Regular Models] Epoch [2/25], Train Loss: 0.5069, Val Loss: 0.7000, Train Acc: 0.9082, Val Acc: 0.4966
2026-07-12 02:19:51,325 - INFO - [Train Regular Models] Epoch [3/25], Train Loss: 0.4819, Val Loss: 0.7541, Train Acc: 0.9219, Val Acc: 0.4966
2026-07-12 02:20:10,543 - INFO - [Train Regular Models] Epoch [4/25], Train Loss: 0.4612, Val Loss: 0.6337, Train Acc: 0.9531, Val Acc: 0.6376
2026-07-12 02:20:29,760 - INFO - [Train Regular Models] Epoch [5/25], Train Loss: 0.4343, Val Loss: 0.6669, Train Acc: 0.9531, Val Acc: 0.5638
2026-07-12 02:20:48,985 - INFO - [Train Regular Models] Epoch [6/25], Train Loss: 0.3993, Val Loss: 0.6010, Train Acc: 0.9648, Val Acc: 0.6644
2026-07-12 02:20:49,126 - INFO - [Train Regular Models] Model saved at epoch 6
2026-07-12 02:21:08,341 - INFO - [Train Regular Models] Epoch [7/25], Train Loss: 0.3771, Val Loss: 0.5929, Train Acc: 0.9746, Val Acc: 0.6644
2026-07-12 02:21:27,563 - INFO - [Train Regular Models] Epoch [8/25], Train Loss: 0.3617, Val Loss: 0.6046, Train Acc: 0.9824, Val Acc: 0.6644
2026-07-12 02:21:46,775 - INFO - [Train Regular Models] Epoch [9/25], Train Loss: 0.3424, Val Loss: 0.5615, Train Acc: 0.9883, Val Acc: 0.8054
2026-07-12 02:22:05,972 - INFO - [Train Regular Models] Epoch [10/25], Train Loss: 0.3365, Val Loss: 0.6096, Train Acc: 0.9746, Val Acc: 0.7651
2026-07-12 02:22:25,181 - INFO - [Train Regular Models] Epoch [11/25], Train Loss: 0.3169, Val Loss: 0.5736, Train Acc: 0.9785, Val Acc: 0.7450
2026-07-12 02:22:44,393 - INFO - [Train Regular Models] Epoch [12/25], Train Loss: 0.2919, Val Loss: 0.6633, Train Acc: 0.9805, Val Acc: 0.5906
2026-07-12 02:22:44,530 - INFO - [Train Regular Models] Model saved at epoch 12
2026-07-12 02:23:03,727 - INFO - [Train Regular Models] Epoch [13/25], Train Loss: 0.2857, Val Loss: 0.5984, Train Acc: 0.9766, Val Acc: 0.7450
2026-07-12 02:23:22,915 - INFO - [Train Regular Models] Epoch [14/25], Train Loss: 0.2739, Val Loss: 0.5446, Train Acc: 0.9785, Val Acc: 0.7718
2026-07-12 02:23:42,120 - INFO - [Train Regular Models] Epoch [15/25], Train Loss: 0.2579, Val Loss: 0.5729, Train Acc: 0.9824, Val Acc: 0.6711
2026-07-12 02:24:01,344 - INFO - [Train Regular Models] Epoch [16/25], Train Loss: 0.2458, Val Loss: 0.6309, Train Acc: 0.9863, Val Acc: 0.5973
2026-07-12 02:24:20,552 - INFO - [Train Regular Models] Epoch [17/25], Train Loss: 0.2308, Val Loss: 0.5827, Train Acc: 0.9824, Val Acc: 0.6242
2026-07-12 02:24:39,769 - INFO - [Train Regular Models] Epoch [18/25], Train Loss: 0.2232, Val Loss: 0.5113, Train Acc: 0.9785, Val Acc: 0.8322
2026-07-12 02:24:39,909 - INFO - [Train Regular Models] Model saved at epoch 18
2026-07-12 02:24:59,115 - INFO - [Train Regular Models] Epoch [19/25], Train Loss: 0.2141, Val Loss: 0.5502, Train Acc: 0.9805, Val Acc: 0.6846
2026-07-12 02:25:18,320 - INFO - [Train Regular Models] Epoch [20/25], Train Loss: 0.2074, Val Loss: 0.6249, Train Acc: 0.9766, Val Acc: 0.5973
2026-07-12 02:25:37,543 - INFO - [Train Regular Models] Epoch [21/25], Train Loss: 0.1896, Val Loss: 0.6830, Train Acc: 0.9805, Val Acc: 0.5906
2026-07-12 02:25:56,748 - INFO - [Train Regular Models] Epoch [22/25], Train Loss: 0.1989, Val Loss: 0.5965, Train Acc: 0.9766, Val Acc: 0.6443
2026-07-12 02:26:15,960 - INFO - [Train Regular Models] Epoch [23/25], Train Loss: 0.1757, Val Loss: 0.5033, Train Acc: 0.9863, Val Acc: 0.8121
2026-07-12 02:26:35,172 - INFO - [Train Regular Models] Epoch [24/25], Train Loss: 0.1734, Val Loss: 0.6471, Train Acc: 0.9863, Val Acc: 0.5839
2026-07-12 02:26:35,316 - INFO - [Train Regular Models] Model saved at epoch 24
2026-07-12 02:26:54,527 - INFO - [Train Regular Models] Epoch [25/25], Train Loss: 0.1575, Val Loss: 0.5238, Train Acc: 0.9824, Val Acc: 0.7987
2026-07-12 02:26:55,471 - INFO - [Train Regular Models] Run 18/30 - Test Loss: 0.4960, Test Accuracy: 0.8351
2026-07-12 02:26:55,566 - INFO - [Train Regular Models] Model saved to outputs/exp1/normal_models/model_18.pt
2026-07-12 02:26:55,847 - INFO - [Train Regular Models] Training model 19/30 (seed 60)...
2026-07-12 02:27:15,130 - INFO - [Train Regular Models] Epoch [1/25], Train Loss: 0.5543, Val Loss: 0.6508, Train Acc: 0.7988, Val Acc: 0.5369
2026-07-12 02:27:34,343 - INFO - [Train Regular Models] Epoch [2/25], Train Loss: 0.4489, Val Loss: 0.7024, Train Acc: 0.8867, Val Acc: 0.5034
2026-07-12 02:27:53,580 - INFO - [Train Regular Models] Epoch [3/25], Train Loss: 0.4176, Val Loss: 0.6786, Train Acc: 0.9160, Val Acc: 0.5235
2026-07-12 02:28:12,809 - INFO - [Train Regular Models] Epoch [4/25], Train Loss: 0.3721, Val Loss: 0.6575, Train Acc: 0.9531, Val Acc: 0.6980
2026-07-12 02:28:32,045 - INFO - [Train Regular Models] Epoch [5/25], Train Loss: 0.3314, Val Loss: 0.6254, Train Acc: 0.9570, Val Acc: 0.6711
2026-07-12 02:28:51,262 - INFO - [Train Regular Models] Epoch [6/25], Train Loss: 0.3200, Val Loss: 0.7228, Train Acc: 0.9668, Val Acc: 0.5436
2026-07-12 02:28:51,403 - INFO - [Train Regular Models] Model saved at epoch 6
2026-07-12 02:29:10,626 - INFO - [Train Regular Models] Epoch [7/25], Train Loss: 0.3035, Val Loss: 0.9055, Train Acc: 0.9648, Val Acc: 0.4631
2026-07-12 02:29:29,860 - INFO - [Train Regular Models] Epoch [8/25], Train Loss: 0.2706, Val Loss: 0.6413, Train Acc: 0.9785, Val Acc: 0.5638
2026-07-12 02:29:49,101 - INFO - [Train Regular Models] Epoch [9/25], Train Loss: 0.2544, Val Loss: 0.6365, Train Acc: 0.9805, Val Acc: 0.5503
2026-07-12 02:30:08,325 - INFO - [Train Regular Models] Epoch [10/25], Train Loss: 0.2360, Val Loss: 0.5546, Train Acc: 0.9766, Val Acc: 0.7248
2026-07-12 02:30:27,559 - INFO - [Train Regular Models] Epoch [11/25], Train Loss: 0.2179, Val Loss: 0.6119, Train Acc: 0.9785, Val Acc: 0.6443
2026-07-12 02:30:46,782 - INFO - [Train Regular Models] Epoch [12/25], Train Loss: 0.2159, Val Loss: 0.7117, Train Acc: 0.9785, Val Acc: 0.7718
2026-07-12 02:30:46,921 - INFO - [Train Regular Models] Model saved at epoch 12
2026-07-12 02:31:06,136 - INFO - [Train Regular Models] Epoch [13/25], Train Loss: 0.2097, Val Loss: 0.7239, Train Acc: 0.9785, Val Acc: 0.5436
2026-07-12 02:31:25,377 - INFO - [Train Regular Models] Epoch [14/25], Train Loss: 0.1907, Val Loss: 0.5204, Train Acc: 0.9766, Val Acc: 0.7181
2026-07-12 02:31:44,611 - INFO - [Train Regular Models] Epoch [15/25], Train Loss: 0.1726, Val Loss: 0.5923, Train Acc: 0.9785, Val Acc: 0.5906
2026-07-12 02:32:03,828 - INFO - [Train Regular Models] Epoch [16/25], Train Loss: 0.1682, Val Loss: 0.6120, Train Acc: 0.9824, Val Acc: 0.5705
2026-07-12 02:32:23,067 - INFO - [Train Regular Models] Epoch [17/25], Train Loss: 0.1547, Val Loss: 0.5710, Train Acc: 0.9863, Val Acc: 0.6376
2026-07-12 02:32:42,299 - INFO - [Train Regular Models] Epoch [18/25], Train Loss: 0.1579, Val Loss: 0.6437, Train Acc: 0.9746, Val Acc: 0.5906
2026-07-12 02:32:42,438 - INFO - [Train Regular Models] Model saved at epoch 18
2026-07-12 02:33:01,667 - INFO - [Train Regular Models] Epoch [19/25], Train Loss: 0.1522, Val Loss: 0.5388, Train Acc: 0.9805, Val Acc: 0.6577
2026-07-12 02:33:21,013 - INFO - [Train Regular Models] Epoch [20/25], Train Loss: 0.1315, Val Loss: 0.6751, Train Acc: 0.9902, Val Acc: 0.5503
2026-07-12 02:33:40,226 - INFO - [Train Regular Models] Epoch [21/25], Train Loss: 0.1339, Val Loss: 1.0565, Train Acc: 0.9805, Val Acc: 0.4899
2026-07-12 02:33:59,450 - INFO - [Train Regular Models] Epoch [22/25], Train Loss: 0.1250, Val Loss: 0.5791, Train Acc: 0.9844, Val Acc: 0.6040
2026-07-12 02:34:18,659 - INFO - [Train Regular Models] Epoch [23/25], Train Loss: 0.1182, Val Loss: 0.6180, Train Acc: 0.9727, Val Acc: 0.5772
2026-07-12 02:34:37,893 - INFO - [Train Regular Models] Epoch [24/25], Train Loss: 0.1183, Val Loss: 0.5059, Train Acc: 0.9785, Val Acc: 0.8389
2026-07-12 02:34:38,036 - INFO - [Train Regular Models] Model saved at epoch 24
2026-07-12 02:34:57,259 - INFO - [Train Regular Models] Epoch [25/25], Train Loss: 0.1032, Val Loss: 0.6218, Train Acc: 0.9902, Val Acc: 0.5772
2026-07-12 02:34:58,208 - INFO - [Train Regular Models] Run 19/30 - Test Loss: 0.4706, Test Accuracy: 0.7113
2026-07-12 02:34:58,297 - INFO - [Train Regular Models] Model saved to outputs/exp1/normal_models/model_19.pt
2026-07-12 02:34:58,579 - INFO - [Train Regular Models] Training model 20/30 (seed 61)...
2026-07-12 02:35:17,868 - INFO - [Train Regular Models] Epoch [1/25], Train Loss: 0.5306, Val Loss: 0.7363, Train Acc: 0.7949, Val Acc: 0.4631
2026-07-12 02:35:37,081 - INFO - [Train Regular Models] Epoch [2/25], Train Loss: 0.3942, Val Loss: 0.5715, Train Acc: 0.9414, Val Acc: 0.7919
2026-07-12 02:35:56,311 - INFO - [Train Regular Models] Epoch [3/25], Train Loss: 0.3500, Val Loss: 0.5606, Train Acc: 0.9434, Val Acc: 0.7047
2026-07-12 02:36:15,544 - INFO - [Train Regular Models] Epoch [4/25], Train Loss: 0.3309, Val Loss: 0.5922, Train Acc: 0.9551, Val Acc: 0.6376
2026-07-12 02:36:34,771 - INFO - [Train Regular Models] Epoch [5/25], Train Loss: 0.3106, Val Loss: 0.5461, Train Acc: 0.9609, Val Acc: 0.7852
2026-07-12 02:36:54,000 - INFO - [Train Regular Models] Epoch [6/25], Train Loss: 0.2716, Val Loss: 0.5563, Train Acc: 0.9727, Val Acc: 0.8054
2026-07-12 02:36:54,145 - INFO - [Train Regular Models] Model saved at epoch 6
2026-07-12 02:37:13,362 - INFO - [Train Regular Models] Epoch [7/25], Train Loss: 0.2592, Val Loss: 0.5894, Train Acc: 0.9746, Val Acc: 0.6510
2026-07-12 02:37:32,568 - INFO - [Train Regular Models] Epoch [8/25], Train Loss: 0.2348, Val Loss: 0.5953, Train Acc: 0.9727, Val Acc: 0.6443
2026-07-12 02:37:51,777 - INFO - [Train Regular Models] Epoch [9/25], Train Loss: 0.2241, Val Loss: 0.5994, Train Acc: 0.9766, Val Acc: 0.6443
2026-07-12 02:38:10,993 - INFO - [Train Regular Models] Epoch [10/25], Train Loss: 0.2038, Val Loss: 0.6329, Train Acc: 0.9805, Val Acc: 0.6107
2026-07-12 02:38:30,213 - INFO - [Train Regular Models] Epoch [11/25], Train Loss: 0.2031, Val Loss: 0.5695, Train Acc: 0.9805, Val Acc: 0.6980
2026-07-12 02:38:49,425 - INFO - [Train Regular Models] Epoch [12/25], Train Loss: 0.1953, Val Loss: 0.6255, Train Acc: 0.9727, Val Acc: 0.5839
2026-07-12 02:38:49,564 - INFO - [Train Regular Models] Model saved at epoch 12
2026-07-12 02:39:08,781 - INFO - [Train Regular Models] Epoch [13/25], Train Loss: 0.1721, Val Loss: 0.6272, Train Acc: 0.9785, Val Acc: 0.5705
2026-07-12 02:39:28,002 - INFO - [Train Regular Models] Epoch [14/25], Train Loss: 0.1665, Val Loss: 0.5190, Train Acc: 0.9805, Val Acc: 0.8255
2026-07-12 02:39:47,216 - INFO - [Train Regular Models] Epoch [15/25], Train Loss: 0.1572, Val Loss: 0.6593, Train Acc: 0.9785, Val Acc: 0.5705
2026-07-12 02:40:06,443 - INFO - [Train Regular Models] Epoch [16/25], Train Loss: 0.1509, Val Loss: 0.6748, Train Acc: 0.9844, Val Acc: 0.5772
2026-07-12 02:40:25,661 - INFO - [Train Regular Models] Epoch [17/25], Train Loss: 0.1508, Val Loss: 0.5942, Train Acc: 0.9746, Val Acc: 0.6309
2026-07-12 02:40:44,875 - INFO - [Train Regular Models] Epoch [18/25], Train Loss: 0.1455, Val Loss: 0.5563, Train Acc: 0.9824, Val Acc: 0.7383
2026-07-12 02:40:45,017 - INFO - [Train Regular Models] Model saved at epoch 18
2026-07-12 02:41:04,225 - INFO - [Train Regular Models] Epoch [19/25], Train Loss: 0.1283, Val Loss: 0.5491, Train Acc: 0.9746, Val Acc: 0.7114
2026-07-12 02:41:23,437 - INFO - [Train Regular Models] Epoch [20/25], Train Loss: 0.1177, Val Loss: 0.6536, Train Acc: 0.9883, Val Acc: 0.5906
2026-07-12 02:41:42,661 - INFO - [Train Regular Models] Epoch [21/25], Train Loss: 0.1159, Val Loss: 0.6476, Train Acc: 0.9746, Val Acc: 0.5906
2026-07-12 02:42:01,899 - INFO - [Train Regular Models] Epoch [22/25], Train Loss: 0.1197, Val Loss: 0.6271, Train Acc: 0.9844, Val Acc: 0.6711
2026-07-12 02:42:21,129 - INFO - [Train Regular Models] Epoch [23/25], Train Loss: 0.1232, Val Loss: 0.5956, Train Acc: 0.9785, Val Acc: 0.6711
2026-07-12 02:42:40,344 - INFO - [Train Regular Models] Epoch [24/25], Train Loss: 0.1156, Val Loss: 0.5764, Train Acc: 0.9746, Val Acc: 0.6846
2026-07-12 02:42:40,485 - INFO - [Train Regular Models] Model saved at epoch 24
2026-07-12 02:42:59,709 - INFO - [Train Regular Models] Epoch [25/25], Train Loss: 0.1084, Val Loss: 0.4802, Train Acc: 0.9883, Val Acc: 0.8322
2026-07-12 02:43:00,667 - INFO - [Train Regular Models] Run 20/30 - Test Loss: 0.4523, Test Accuracy: 0.8247
2026-07-12 02:43:00,760 - INFO - [Train Regular Models] Model saved to outputs/exp1/normal_models/model_20.pt
2026-07-12 02:43:01,044 - INFO - [Train Regular Models] Training model 21/30 (seed 62)...
2026-07-12 02:43:20,342 - INFO - [Train Regular Models] Epoch [1/25], Train Loss: 0.5410, Val Loss: 0.6042, Train Acc: 0.7773, Val Acc: 0.7919
2026-07-12 02:43:39,569 - INFO - [Train Regular Models] Epoch [2/25], Train Loss: 0.4336, Val Loss: 0.6890, Train Acc: 0.8906, Val Acc: 0.5034
2026-07-12 02:43:58,789 - INFO - [Train Regular Models] Epoch [3/25], Train Loss: 0.3795, Val Loss: 0.7113, Train Acc: 0.9375, Val Acc: 0.5034
2026-07-12 02:44:18,021 - INFO - [Train Regular Models] Epoch [4/25], Train Loss: 0.3546, Val Loss: 0.6001, Train Acc: 0.9551, Val Acc: 0.6040
2026-07-12 02:44:37,249 - INFO - [Train Regular Models] Epoch [5/25], Train Loss: 0.3422, Val Loss: 0.6453, Train Acc: 0.9590, Val Acc: 0.5772
2026-07-12 02:44:56,472 - INFO - [Train Regular Models] Epoch [6/25], Train Loss: 0.3059, Val Loss: 0.5909, Train Acc: 0.9648, Val Acc: 0.5973
2026-07-12 02:44:56,618 - INFO - [Train Regular Models] Model saved at epoch 6
2026-07-12 02:45:15,841 - INFO - [Train Regular Models] Epoch [7/25], Train Loss: 0.2822, Val Loss: 0.5627, Train Acc: 0.9746, Val Acc: 0.7919
2026-07-12 02:45:35,056 - INFO - [Train Regular Models] Epoch [8/25], Train Loss: 0.2555, Val Loss: 0.6034, Train Acc: 0.9863, Val Acc: 0.6376
2026-07-12 02:45:54,269 - INFO - [Train Regular Models] Epoch [9/25], Train Loss: 0.2438, Val Loss: 0.6196, Train Acc: 0.9766, Val Acc: 0.7651
2026-07-12 02:46:13,470 - INFO - [Train Regular Models] Epoch [10/25], Train Loss: 0.2306, Val Loss: 0.6339, Train Acc: 0.9844, Val Acc: 0.5973
2026-07-12 02:46:32,707 - INFO - [Train Regular Models] Epoch [11/25], Train Loss: 0.2288, Val Loss: 0.6839, Train Acc: 0.9707, Val Acc: 0.5503
2026-07-12 02:46:51,923 - INFO - [Train Regular Models] Epoch [12/25], Train Loss: 0.2126, Val Loss: 0.5068, Train Acc: 0.9805, Val Acc: 0.8188
2026-07-12 02:46:52,064 - INFO - [Train Regular Models] Model saved at epoch 12
2026-07-12 02:47:11,281 - INFO - [Train Regular Models] Epoch [13/25], Train Loss: 0.2174, Val Loss: 0.5869, Train Acc: 0.9785, Val Acc: 0.7651
2026-07-12 02:47:30,512 - INFO - [Train Regular Models] Epoch [14/25], Train Loss: 0.1859, Val Loss: 0.6710, Train Acc: 0.9844, Val Acc: 0.5705
2026-07-12 02:47:49,746 - INFO - [Train Regular Models] Epoch [15/25], Train Loss: 0.1780, Val Loss: 0.5274, Train Acc: 0.9805, Val Acc: 0.7248
2026-07-12 02:48:08,984 - INFO - [Train Regular Models] Epoch [16/25], Train Loss: 0.1752, Val Loss: 0.6984, Train Acc: 0.9805, Val Acc: 0.5638
2026-07-12 02:48:28,214 - INFO - [Train Regular Models] Epoch [17/25], Train Loss: 0.1712, Val Loss: 0.5968, Train Acc: 0.9766, Val Acc: 0.6846
2026-07-12 02:48:47,427 - INFO - [Train Regular Models] Epoch [18/25], Train Loss: 0.1598, Val Loss: 0.5420, Train Acc: 0.9746, Val Acc: 0.8054
2026-07-12 02:48:47,561 - INFO - [Train Regular Models] Model saved at epoch 18
2026-07-12 02:49:06,786 - INFO - [Train Regular Models] Epoch [19/25], Train Loss: 0.1601, Val Loss: 0.6781, Train Acc: 0.9785, Val Acc: 0.5705
2026-07-12 02:49:26,120 - INFO - [Train Regular Models] Epoch [20/25], Train Loss: 0.1444, Val Loss: 0.5810, Train Acc: 0.9863, Val Acc: 0.6309
2026-07-12 02:49:45,365 - INFO - [Train Regular Models] Epoch [21/25], Train Loss: 0.1259, Val Loss: 0.5421, Train Acc: 0.9805, Val Acc: 0.6443
2026-07-12 02:50:04,608 - INFO - [Train Regular Models] Epoch [22/25], Train Loss: 0.1240, Val Loss: 0.6660, Train Acc: 0.9805, Val Acc: 0.5772
2026-07-12 02:50:23,852 - INFO - [Train Regular Models] Epoch [23/25], Train Loss: 0.1249, Val Loss: 0.7044, Train Acc: 0.9844, Val Acc: 0.5503
2026-07-12 02:50:43,063 - INFO - [Train Regular Models] Epoch [24/25], Train Loss: 0.1195, Val Loss: 0.6208, Train Acc: 0.9883, Val Acc: 0.6107
2026-07-12 02:50:43,206 - INFO - [Train Regular Models] Model saved at epoch 24
2026-07-12 02:51:02,425 - INFO - [Train Regular Models] Epoch [25/25], Train Loss: 0.1089, Val Loss: 0.5337, Train Acc: 0.9844, Val Acc: 0.6913
2026-07-12 02:51:03,383 - INFO - [Train Regular Models] Run 21/30 - Test Loss: 0.4328, Test Accuracy: 0.7629
2026-07-12 02:51:03,481 - INFO - [Train Regular Models] Model saved to outputs/exp1/normal_models/model_21.pt
2026-07-12 02:51:03,764 - INFO - [Train Regular Models] Training model 22/30 (seed 63)...
2026-07-12 02:51:23,075 - INFO - [Train Regular Models] Epoch [1/25], Train Loss: 0.5809, Val Loss: 0.6390, Train Acc: 0.7539, Val Acc: 0.5772
2026-07-12 02:51:42,317 - INFO - [Train Regular Models] Epoch [2/25], Train Loss: 0.4108, Val Loss: 0.6762, Train Acc: 0.9062, Val Acc: 0.4631
2026-07-12 02:52:01,550 - INFO - [Train Regular Models] Epoch [3/25], Train Loss: 0.3283, Val Loss: 0.6341, Train Acc: 0.9395, Val Acc: 0.5235
2026-07-12 02:52:20,785 - INFO - [Train Regular Models] Epoch [4/25], Train Loss: 0.2858, Val Loss: 0.6056, Train Acc: 0.9648, Val Acc: 0.6309
2026-07-12 02:52:40,009 - INFO - [Train Regular Models] Epoch [5/25], Train Loss: 0.2782, Val Loss: 0.5645, Train Acc: 0.9785, Val Acc: 0.7852
2026-07-12 02:52:59,252 - INFO - [Train Regular Models] Epoch [6/25], Train Loss: 0.2483, Val Loss: 0.9132, Train Acc: 0.9805, Val Acc: 0.4631
2026-07-12 02:52:59,394 - INFO - [Train Regular Models] Model saved at epoch 6
2026-07-12 02:53:18,603 - INFO - [Train Regular Models] Epoch [7/25], Train Loss: 0.2123, Val Loss: 0.5053, Train Acc: 0.9844, Val Acc: 0.7114
2026-07-12 02:53:37,834 - INFO - [Train Regular Models] Epoch [8/25], Train Loss: 0.1993, Val Loss: 0.5334, Train Acc: 0.9746, Val Acc: 0.6846
2026-07-12 02:53:57,058 - INFO - [Train Regular Models] Epoch [9/25], Train Loss: 0.1909, Val Loss: 0.6677, Train Acc: 0.9824, Val Acc: 0.5503
2026-07-12 02:54:16,298 - INFO - [Train Regular Models] Epoch [10/25], Train Loss: 0.1793, Val Loss: 0.4550, Train Acc: 0.9766, Val Acc: 0.8456
2026-07-12 02:54:35,534 - INFO - [Train Regular Models] Epoch [11/25], Train Loss: 0.1649, Val Loss: 0.7646, Train Acc: 0.9785, Val Acc: 0.5168
2026-07-12 02:54:54,776 - INFO - [Train Regular Models] Epoch [12/25], Train Loss: 0.1760, Val Loss: 0.4865, Train Acc: 0.9785, Val Acc: 0.8658
2026-07-12 02:54:54,918 - INFO - [Train Regular Models] Model saved at epoch 12
2026-07-12 02:55:14,149 - INFO - [Train Regular Models] Epoch [13/25], Train Loss: 0.1684, Val Loss: 0.6786, Train Acc: 0.9883, Val Acc: 0.5570
2026-07-12 02:55:33,373 - INFO - [Train Regular Models] Epoch [14/25], Train Loss: 0.1954, Val Loss: 0.7278, Train Acc: 0.9746, Val Acc: 0.5235
2026-07-12 02:55:52,597 - INFO - [Train Regular Models] Epoch [15/25], Train Loss: 0.1558, Val Loss: 0.7735, Train Acc: 0.9805, Val Acc: 0.5235
2026-07-12 02:56:11,826 - INFO - [Train Regular Models] Epoch [16/25], Train Loss: 0.1309, Val Loss: 0.5995, Train Acc: 0.9824, Val Acc: 0.6711
2026-07-12 02:56:31,058 - INFO - [Train Regular Models] Epoch [17/25], Train Loss: 0.1313, Val Loss: 0.5374, Train Acc: 0.9727, Val Acc: 0.8121
2026-07-12 02:56:50,312 - INFO - [Train Regular Models] Epoch [18/25], Train Loss: 0.1243, Val Loss: 0.5582, Train Acc: 0.9863, Val Acc: 0.6510
2026-07-12 02:56:50,451 - INFO - [Train Regular Models] Model saved at epoch 18
2026-07-12 02:57:09,685 - INFO - [Train Regular Models] Epoch [19/25], Train Loss: 0.1154, Val Loss: 0.5199, Train Acc: 0.9805, Val Acc: 0.6980
2026-07-12 02:57:28,930 - INFO - [Train Regular Models] Epoch [20/25], Train Loss: 0.1085, Val Loss: 0.4035, Train Acc: 0.9824, Val Acc: 0.8591
2026-07-12 02:57:48,164 - INFO - [Train Regular Models] Epoch [21/25], Train Loss: 0.1007, Val Loss: 0.5238, Train Acc: 0.9824, Val Acc: 0.6846
2026-07-12 02:58:07,393 - INFO - [Train Regular Models] Epoch [22/25], Train Loss: 0.0933, Val Loss: 0.6040, Train Acc: 0.9824, Val Acc: 0.6107
2026-07-12 02:58:26,640 - INFO - [Train Regular Models] Epoch [23/25], Train Loss: 0.0949, Val Loss: 0.5502, Train Acc: 0.9824, Val Acc: 0.6711
2026-07-12 02:58:45,889 - INFO - [Train Regular Models] Epoch [24/25], Train Loss: 0.0870, Val Loss: 0.5526, Train Acc: 0.9805, Val Acc: 0.7383
2026-07-12 02:58:46,034 - INFO - [Train Regular Models] Model saved at epoch 24
2026-07-12 02:59:05,279 - INFO - [Train Regular Models] Epoch [25/25], Train Loss: 0.0922, Val Loss: 0.5402, Train Acc: 0.9883, Val Acc: 0.7181
2026-07-12 02:59:06,228 - INFO - [Train Regular Models] Run 22/30 - Test Loss: 0.4844, Test Accuracy: 0.8866
2026-07-12 02:59:06,323 - INFO - [Train Regular Models] Model saved to outputs/exp1/normal_models/model_22.pt
2026-07-12 02:59:06,607 - INFO - [Train Regular Models] Training model 23/30 (seed 64)...
2026-07-12 02:59:25,907 - INFO - [Train Regular Models] Epoch [1/25], Train Loss: 0.4862, Val Loss: 0.6769, Train Acc: 0.8320, Val Acc: 0.5101
2026-07-12 02:59:45,130 - INFO - [Train Regular Models] Epoch [2/25], Train Loss: 0.3588, Val Loss: 0.6257, Train Acc: 0.9219, Val Acc: 0.5705
2026-07-12 03:00:04,351 - INFO - [Train Regular Models] Epoch [3/25], Train Loss: 0.3094, Val Loss: 0.6066, Train Acc: 0.9590, Val Acc: 0.6309
2026-07-12 03:00:23,573 - INFO - [Train Regular Models] Epoch [4/25], Train Loss: 0.2887, Val Loss: 0.5861, Train Acc: 0.9648, Val Acc: 0.6644
2026-07-12 03:00:42,799 - INFO - [Train Regular Models] Epoch [5/25], Train Loss: 0.2385, Val Loss: 0.6571, Train Acc: 0.9824, Val Acc: 0.5436
2026-07-12 03:01:02,030 - INFO - [Train Regular Models] Epoch [6/25], Train Loss: 0.2244, Val Loss: 0.6478, Train Acc: 0.9824, Val Acc: 0.5839
2026-07-12 03:01:02,171 - INFO - [Train Regular Models] Model saved at epoch 6
2026-07-12 03:01:21,411 - INFO - [Train Regular Models] Epoch [7/25], Train Loss: 0.2021, Val Loss: 0.6081, Train Acc: 0.9766, Val Acc: 0.6040
2026-07-12 03:01:40,638 - INFO - [Train Regular Models] Epoch [8/25], Train Loss: 0.1862, Val Loss: 0.6440, Train Acc: 0.9844, Val Acc: 0.5906
2026-07-12 03:01:59,886 - INFO - [Train Regular Models] Epoch [9/25], Train Loss: 0.1854, Val Loss: 0.7839, Train Acc: 0.9824, Val Acc: 0.5369
2026-07-12 03:02:19,124 - INFO - [Train Regular Models] Epoch [10/25], Train Loss: 0.1833, Val Loss: 0.5355, Train Acc: 0.9766, Val Acc: 0.7047
2026-07-12 03:02:38,374 - INFO - [Train Regular Models] Epoch [11/25], Train Loss: 0.1779, Val Loss: 0.5452, Train Acc: 0.9844, Val Acc: 0.8255
2026-07-12 03:02:57,616 - INFO - [Train Regular Models] Epoch [12/25], Train Loss: 0.1497, Val Loss: 0.6810, Train Acc: 0.9844, Val Acc: 0.5705
2026-07-12 03:02:57,755 - INFO - [Train Regular Models] Model saved at epoch 12
2026-07-12 03:03:16,987 - INFO - [Train Regular Models] Epoch [13/25], Train Loss: 0.1531, Val Loss: 0.6721, Train Acc: 0.9883, Val Acc: 0.5772
2026-07-12 03:03:36,231 - INFO - [Train Regular Models] Epoch [14/25], Train Loss: 0.1415, Val Loss: 0.6286, Train Acc: 0.9883, Val Acc: 0.6107
2026-07-12 03:03:55,465 - INFO - [Train Regular Models] Epoch [15/25], Train Loss: 0.1292, Val Loss: 0.5518, Train Acc: 0.9824, Val Acc: 0.7248
2026-07-12 03:04:14,691 - INFO - [Train Regular Models] Epoch [16/25], Train Loss: 0.1222, Val Loss: 0.7025, Train Acc: 0.9844, Val Acc: 0.5570
2026-07-12 03:04:33,929 - INFO - [Train Regular Models] Epoch [17/25], Train Loss: 0.1187, Val Loss: 0.5503, Train Acc: 0.9766, Val Acc: 0.7248
2026-07-12 03:04:53,152 - INFO - [Train Regular Models] Epoch [18/25], Train Loss: 0.1148, Val Loss: 0.5863, Train Acc: 0.9844, Val Acc: 0.6644
2026-07-12 03:04:53,290 - INFO - [Train Regular Models] Model saved at epoch 18
2026-07-12 03:05:12,523 - INFO - [Train Regular Models] Epoch [19/25], Train Loss: 0.1091, Val Loss: 0.4907, Train Acc: 0.9805, Val Acc: 0.7919
2026-07-12 03:05:31,765 - INFO - [Train Regular Models] Epoch [20/25], Train Loss: 0.1031, Val Loss: 0.6602, Train Acc: 0.9844, Val Acc: 0.5973
2026-07-12 03:05:51,006 - INFO - [Train Regular Models] Epoch [21/25], Train Loss: 0.0980, Val Loss: 0.7907, Train Acc: 0.9902, Val Acc: 0.5570
2026-07-12 03:06:10,249 - INFO - [Train Regular Models] Epoch [22/25], Train Loss: 0.0863, Val Loss: 0.5928, Train Acc: 0.9863, Val Acc: 0.6443
2026-07-12 03:06:29,488 - INFO - [Train Regular Models] Epoch [23/25], Train Loss: 0.1060, Val Loss: 0.4967, Train Acc: 0.9863, Val Acc: 0.7584
2026-07-12 03:06:48,732 - INFO - [Train Regular Models] Epoch [24/25], Train Loss: 0.0881, Val Loss: 0.6073, Train Acc: 0.9863, Val Acc: 0.6040
2026-07-12 03:06:48,872 - INFO - [Train Regular Models] Model saved at epoch 24
2026-07-12 03:07:08,105 - INFO - [Train Regular Models] Epoch [25/25], Train Loss: 0.0884, Val Loss: 0.4773, Train Acc: 0.9824, Val Acc: 0.8188
2026-07-12 03:07:09,061 - INFO - [Train Regular Models] Run 23/30 - Test Loss: 0.4631, Test Accuracy: 0.8247
2026-07-12 03:07:09,151 - INFO - [Train Regular Models] Model saved to outputs/exp1/normal_models/model_23.pt
2026-07-12 03:07:09,436 - INFO - [Train Regular Models] Training model 24/30 (seed 65)...
2026-07-12 03:07:28,730 - INFO - [Train Regular Models] Epoch [1/25], Train Loss: 0.5366, Val Loss: 0.6146, Train Acc: 0.7598, Val Acc: 0.7987
2026-07-12 03:07:47,961 - INFO - [Train Regular Models] Epoch [2/25], Train Loss: 0.3621, Val Loss: 0.9622, Train Acc: 0.8965, Val Acc: 0.4631
2026-07-12 03:08:07,197 - INFO - [Train Regular Models] Epoch [3/25], Train Loss: 0.3131, Val Loss: 1.0480, Train Acc: 0.9336, Val Acc: 0.4631
2026-07-12 03:08:26,430 - INFO - [Train Regular Models] Epoch [4/25], Train Loss: 0.2725, Val Loss: 0.6496, Train Acc: 0.9629, Val Acc: 0.8054
2026-07-12 03:08:45,662 - INFO - [Train Regular Models] Epoch [5/25], Train Loss: 0.2382, Val Loss: 0.6848, Train Acc: 0.9785, Val Acc: 0.4765
2026-07-12 03:09:04,893 - INFO - [Train Regular Models] Epoch [6/25], Train Loss: 0.2103, Val Loss: 0.5099, Train Acc: 0.9746, Val Acc: 0.8054
2026-07-12 03:09:05,037 - INFO - [Train Regular Models] Model saved at epoch 6
2026-07-12 03:09:24,272 - INFO - [Train Regular Models] Epoch [7/25], Train Loss: 0.1986, Val Loss: 0.5889, Train Acc: 0.9727, Val Acc: 0.6846
2026-07-12 03:09:43,498 - INFO - [Train Regular Models] Epoch [8/25], Train Loss: 0.1678, Val Loss: 0.6178, Train Acc: 0.9863, Val Acc: 0.5839
2026-07-12 03:10:02,729 - INFO - [Train Regular Models] Epoch [9/25], Train Loss: 0.1477, Val Loss: 0.6402, Train Acc: 0.9883, Val Acc: 0.5906
2026-07-12 03:10:21,977 - INFO - [Train Regular Models] Epoch [10/25], Train Loss: 0.1444, Val Loss: 0.6083, Train Acc: 0.9824, Val Acc: 0.5906
2026-07-12 03:10:41,225 - INFO - [Train Regular Models] Epoch [11/25], Train Loss: 0.1547, Val Loss: 0.8734, Train Acc: 0.9824, Val Acc: 0.4832
2026-07-12 03:11:00,464 - INFO - [Train Regular Models] Epoch [12/25], Train Loss: 0.1397, Val Loss: 0.5866, Train Acc: 0.9785, Val Acc: 0.6242
2026-07-12 03:11:00,600 - INFO - [Train Regular Models] Model saved at epoch 12
2026-07-12 03:11:19,834 - INFO - [Train Regular Models] Epoch [13/25], Train Loss: 0.1206, Val Loss: 0.4894, Train Acc: 0.9863, Val Acc: 0.7114
2026-07-12 03:11:39,088 - INFO - [Train Regular Models] Epoch [14/25], Train Loss: 0.1067, Val Loss: 0.7026, Train Acc: 0.9863, Val Acc: 0.5570
2026-07-12 03:11:58,354 - INFO - [Train Regular Models] Epoch [15/25], Train Loss: 0.1137, Val Loss: 0.4435, Train Acc: 0.9805, Val Acc: 0.8255
2026-07-12 03:12:17,606 - INFO - [Train Regular Models] Epoch [16/25], Train Loss: 0.1017, Val Loss: 0.4410, Train Acc: 0.9746, Val Acc: 0.8389
2026-07-12 03:12:36,882 - INFO - [Train Regular Models] Epoch [17/25], Train Loss: 0.1011, Val Loss: 0.4229, Train Acc: 0.9824, Val Acc: 0.8658
2026-07-12 03:12:56,129 - INFO - [Train Regular Models] Epoch [18/25], Train Loss: 0.1002, Val Loss: 0.4517, Train Acc: 0.9844, Val Acc: 0.8322
2026-07-12 03:12:56,270 - INFO - [Train Regular Models] Model saved at epoch 18
2026-07-12 03:13:15,599 - INFO - [Train Regular Models] Epoch [19/25], Train Loss: 0.0864, Val Loss: 0.6098, Train Acc: 0.9863, Val Acc: 0.5772
2026-07-12 03:13:34,879 - INFO - [Train Regular Models] Epoch [20/25], Train Loss: 0.0796, Val Loss: 0.4675, Train Acc: 0.9863, Val Acc: 0.8121
2026-07-12 03:13:54,137 - INFO - [Train Regular Models] Epoch [21/25], Train Loss: 0.0935, Val Loss: 0.6133, Train Acc: 0.9824, Val Acc: 0.5772
2026-07-12 03:14:13,382 - INFO - [Train Regular Models] Epoch [22/25], Train Loss: 0.0782, Val Loss: 0.5396, Train Acc: 0.9863, Val Acc: 0.6779
2026-07-12 03:14:32,645 - INFO - [Train Regular Models] Epoch [23/25], Train Loss: 0.0791, Val Loss: 0.6413, Train Acc: 0.9824, Val Acc: 0.5839
2026-07-12 03:14:51,903 - INFO - [Train Regular Models] Epoch [24/25], Train Loss: 0.0797, Val Loss: 0.4858, Train Acc: 0.9785, Val Acc: 0.7114
2026-07-12 03:14:52,044 - INFO - [Train Regular Models] Model saved at epoch 24
2026-07-12 03:15:11,294 - INFO - [Train Regular Models] Epoch [25/25], Train Loss: 0.0772, Val Loss: 0.8403, Train Acc: 0.9844, Val Acc: 0.5570
2026-07-12 03:15:12,245 - INFO - [Train Regular Models] Run 24/30 - Test Loss: 0.5760, Test Accuracy: 0.6701
2026-07-12 03:15:12,335 - INFO - [Train Regular Models] Model saved to outputs/exp1/normal_models/model_24.pt
2026-07-12 03:15:12,621 - INFO - [Train Regular Models] Training model 25/30 (seed 66)...
2026-07-12 03:15:31,937 - INFO - [Train Regular Models] Epoch [1/25], Train Loss: 0.5241, Val Loss: 0.6892, Train Acc: 0.7949, Val Acc: 0.5369
2026-07-12 03:15:51,169 - INFO - [Train Regular Models] Epoch [2/25], Train Loss: 0.4153, Val Loss: 0.6570, Train Acc: 0.9180, Val Acc: 0.5772
2026-07-12 03:16:10,420 - INFO - [Train Regular Models] Epoch [3/25], Train Loss: 0.3657, Val Loss: 0.7406, Train Acc: 0.9414, Val Acc: 0.4698
2026-07-12 03:16:29,677 - INFO - [Train Regular Models] Epoch [4/25], Train Loss: 0.3372, Val Loss: 0.6469, Train Acc: 0.9570, Val Acc: 0.6779
2026-07-12 03:16:48,926 - INFO - [Train Regular Models] Epoch [5/25], Train Loss: 0.3084, Val Loss: 0.5860, Train Acc: 0.9707, Val Acc: 0.7383
2026-07-12 03:17:08,169 - INFO - [Train Regular Models] Epoch [6/25], Train Loss: 0.2801, Val Loss: 0.6304, Train Acc: 0.9805, Val Acc: 0.6040
2026-07-12 03:17:08,310 - INFO - [Train Regular Models] Model saved at epoch 6
2026-07-12 03:17:27,539 - INFO - [Train Regular Models] Epoch [7/25], Train Loss: 0.2600, Val Loss: 0.5688, Train Acc: 0.9824, Val Acc: 0.7785
2026-07-12 03:17:46,801 - INFO - [Train Regular Models] Epoch [8/25], Train Loss: 0.2508, Val Loss: 0.5570, Train Acc: 0.9707, Val Acc: 0.7651
2026-07-12 03:18:06,056 - INFO - [Train Regular Models] Epoch [9/25], Train Loss: 0.2263, Val Loss: 0.6005, Train Acc: 0.9863, Val Acc: 0.6040
2026-07-12 03:18:25,309 - INFO - [Train Regular Models] Epoch [10/25], Train Loss: 0.2153, Val Loss: 0.5649, Train Acc: 0.9824, Val Acc: 0.6644
2026-07-12 03:18:44,533 - INFO - [Train Regular Models] Epoch [11/25], Train Loss: 0.2050, Val Loss: 0.6336, Train Acc: 0.9844, Val Acc: 0.6242
2026-07-12 03:19:03,786 - INFO - [Train Regular Models] Epoch [12/25], Train Loss: 0.1948, Val Loss: 0.6380, Train Acc: 0.9766, Val Acc: 0.5973
2026-07-12 03:19:03,923 - INFO - [Train Regular Models] Model saved at epoch 12
2026-07-12 03:19:23,163 - INFO - [Train Regular Models] Epoch [13/25], Train Loss: 0.1917, Val Loss: 0.6464, Train Acc: 0.9766, Val Acc: 0.5570
2026-07-12 03:19:42,398 - INFO - [Train Regular Models] Epoch [14/25], Train Loss: 0.1810, Val Loss: 0.5443, Train Acc: 0.9824, Val Acc: 0.7517
2026-07-12 03:20:01,635 - INFO - [Train Regular Models] Epoch [15/25], Train Loss: 0.1679, Val Loss: 0.7500, Train Acc: 0.9824, Val Acc: 0.5369
2026-07-12 03:20:20,885 - INFO - [Train Regular Models] Epoch [16/25], Train Loss: 0.1683, Val Loss: 0.5968, Train Acc: 0.9746, Val Acc: 0.6107
2026-07-12 03:20:40,134 - INFO - [Train Regular Models] Epoch [17/25], Train Loss: 0.1564, Val Loss: 0.7463, Train Acc: 0.9805, Val Acc: 0.5235
2026-07-12 03:20:59,364 - INFO - [Train Regular Models] Epoch [18/25], Train Loss: 0.1568, Val Loss: 0.5965, Train Acc: 0.9805, Val Acc: 0.6174
2026-07-12 03:20:59,504 - INFO - [Train Regular Models] Model saved at epoch 18
2026-07-12 03:21:18,735 - INFO - [Train Regular Models] Epoch [19/25], Train Loss: 0.1432, Val Loss: 0.7014, Train Acc: 0.9766, Val Acc: 0.5503
2026-07-12 03:21:38,094 - INFO - [Train Regular Models] Epoch [20/25], Train Loss: 0.1330, Val Loss: 0.6023, Train Acc: 0.9785, Val Acc: 0.6376
2026-07-12 03:21:57,316 - INFO - [Train Regular Models] Epoch [21/25], Train Loss: 0.1227, Val Loss: 0.6224, Train Acc: 0.9824, Val Acc: 0.6174
2026-07-12 03:22:16,559 - INFO - [Train Regular Models] Epoch [22/25], Train Loss: 0.1256, Val Loss: 0.5362, Train Acc: 0.9785, Val Acc: 0.7315
2026-07-12 03:22:35,810 - INFO - [Train Regular Models] Epoch [23/25], Train Loss: 0.1153, Val Loss: 0.5715, Train Acc: 0.9844, Val Acc: 0.6577
2026-07-12 03:22:55,045 - INFO - [Train Regular Models] Epoch [24/25], Train Loss: 0.1055, Val Loss: 0.6026, Train Acc: 0.9844, Val Acc: 0.6174
2026-07-12 03:22:55,185 - INFO - [Train Regular Models] Model saved at epoch 24
2026-07-12 03:23:14,431 - INFO - [Train Regular Models] Epoch [25/25], Train Loss: 0.1278, Val Loss: 0.6173, Train Acc: 0.9844, Val Acc: 0.5973
2026-07-12 03:23:15,383 - INFO - [Train Regular Models] Run 25/30 - Test Loss: 0.4631, Test Accuracy: 0.7113
2026-07-12 03:23:15,479 - INFO - [Train Regular Models] Model saved to outputs/exp1/normal_models/model_25.pt
2026-07-12 03:23:15,765 - INFO - [Train Regular Models] Training model 26/30 (seed 67)...
2026-07-12 03:23:35,079 - INFO - [Train Regular Models] Epoch [1/25], Train Loss: 0.5246, Val Loss: 0.6852, Train Acc: 0.8066, Val Acc: 0.4832
2026-07-12 03:23:54,315 - INFO - [Train Regular Models] Epoch [2/25], Train Loss: 0.4184, Val Loss: 0.7823, Train Acc: 0.8906, Val Acc: 0.4631
2026-07-12 03:24:13,540 - INFO - [Train Regular Models] Epoch [3/25], Train Loss: 0.3537, Val Loss: 0.5904, Train Acc: 0.9375, Val Acc: 0.6510
2026-07-12 03:24:32,766 - INFO - [Train Regular Models] Epoch [4/25], Train Loss: 0.3151, Val Loss: 0.7654, Train Acc: 0.9668, Val Acc: 0.5906
2026-07-12 03:24:52,011 - INFO - [Train Regular Models] Epoch [5/25], Train Loss: 0.2982, Val Loss: 0.6405, Train Acc: 0.9805, Val Acc: 0.5906
2026-07-12 03:25:11,237 - INFO - [Train Regular Models] Epoch [6/25], Train Loss: 0.2699, Val Loss: 0.6686, Train Acc: 0.9766, Val Acc: 0.5570
2026-07-12 03:25:11,377 - INFO - [Train Regular Models] Model saved at epoch 6
2026-07-12 03:25:30,598 - INFO - [Train Regular Models] Epoch [7/25], Train Loss: 0.2272, Val Loss: 0.5448, Train Acc: 0.9863, Val Acc: 0.7047
2026-07-12 03:25:49,827 - INFO - [Train Regular Models] Epoch [8/25], Train Loss: 0.2215, Val Loss: 0.6849, Train Acc: 0.9785, Val Acc: 0.5570
2026-07-12 03:26:09,077 - INFO - [Train Regular Models] Epoch [9/25], Train Loss: 0.2025, Val Loss: 0.6597, Train Acc: 0.9844, Val Acc: 0.5772
2026-07-12 03:26:28,315 - INFO - [Train Regular Models] Epoch [10/25], Train Loss: 0.1916, Val Loss: 0.6447, Train Acc: 0.9824, Val Acc: 0.5906
2026-07-12 03:26:47,563 - INFO - [Train Regular Models] Epoch [11/25], Train Loss: 0.1821, Val Loss: 0.5617, Train Acc: 0.9766, Val Acc: 0.6980
2026-07-12 03:27:06,819 - INFO - [Train Regular Models] Epoch [12/25], Train Loss: 0.1721, Val Loss: 0.6651, Train Acc: 0.9824, Val Acc: 0.5839
2026-07-12 03:27:06,959 - INFO - [Train Regular Models] Model saved at epoch 12
2026-07-12 03:27:26,185 - INFO - [Train Regular Models] Epoch [13/25], Train Loss: 0.1721, Val Loss: 0.7168, Train Acc: 0.9766, Val Acc: 0.5302
2026-07-12 03:27:45,429 - INFO - [Train Regular Models] Epoch [14/25], Train Loss: 0.1550, Val Loss: 0.5998, Train Acc: 0.9863, Val Acc: 0.6040
2026-07-12 03:28:04,668 - INFO - [Train Regular Models] Epoch [15/25], Train Loss: 0.1530, Val Loss: 0.6339, Train Acc: 0.9844, Val Acc: 0.5839
2026-07-12 03:28:23,902 - INFO - [Train Regular Models] Epoch [16/25], Train Loss: 0.1514, Val Loss: 0.7012, Train Acc: 0.9746, Val Acc: 0.5570
2026-07-12 03:28:43,154 - INFO - [Train Regular Models] Epoch [17/25], Train Loss: 0.1395, Val Loss: 0.6302, Train Acc: 0.9805, Val Acc: 0.5839
2026-07-12 03:29:02,417 - INFO - [Train Regular Models] Epoch [18/25], Train Loss: 0.1142, Val Loss: 0.7969, Train Acc: 0.9883, Val Acc: 0.5302
2026-07-12 03:29:02,557 - INFO - [Train Regular Models] Model saved at epoch 18
2026-07-12 03:29:21,800 - INFO - [Train Regular Models] Epoch [19/25], Train Loss: 0.1177, Val Loss: 0.4601, Train Acc: 0.9766, Val Acc: 0.8121
2026-07-12 03:29:41,048 - INFO - [Train Regular Models] Epoch [20/25], Train Loss: 0.1097, Val Loss: 0.6105, Train Acc: 0.9824, Val Acc: 0.6577
2026-07-12 03:30:00,409 - INFO - [Train Regular Models] Epoch [21/25], Train Loss: 0.1130, Val Loss: 0.5401, Train Acc: 0.9844, Val Acc: 0.6644
2026-07-12 03:30:19,665 - INFO - [Train Regular Models] Epoch [22/25], Train Loss: 0.1028, Val Loss: 0.5583, Train Acc: 0.9805, Val Acc: 0.6577
2026-07-12 03:30:38,912 - INFO - [Train Regular Models] Epoch [23/25], Train Loss: 0.0989, Val Loss: 0.4297, Train Acc: 0.9766, Val Acc: 0.8591
2026-07-12 03:30:58,167 - INFO - [Train Regular Models] Epoch [24/25], Train Loss: 0.1091, Val Loss: 0.5639, Train Acc: 0.9785, Val Acc: 0.6376
2026-07-12 03:30:58,310 - INFO - [Train Regular Models] Model saved at epoch 24
2026-07-12 03:31:17,578 - INFO - [Train Regular Models] Epoch [25/25], Train Loss: 0.0828, Val Loss: 0.6094, Train Acc: 0.9824, Val Acc: 0.6040
2026-07-12 03:31:18,530 - INFO - [Train Regular Models] Run 26/30 - Test Loss: 0.4838, Test Accuracy: 0.7526
2026-07-12 03:31:18,628 - INFO - [Train Regular Models] Model saved to outputs/exp1/normal_models/model_26.pt
2026-07-12 03:31:18,912 - INFO - [Train Regular Models] Training model 27/30 (seed 68)...
2026-07-12 03:31:38,235 - INFO - [Train Regular Models] Epoch [1/25], Train Loss: 0.4601, Val Loss: 0.6335, Train Acc: 0.8242, Val Acc: 0.5570
2026-07-12 03:31:57,474 - INFO - [Train Regular Models] Epoch [2/25], Train Loss: 0.3603, Val Loss: 0.6347, Train Acc: 0.9199, Val Acc: 0.6510
2026-07-12 03:32:16,759 - INFO - [Train Regular Models] Epoch [3/25], Train Loss: 0.3150, Val Loss: 0.7979, Train Acc: 0.9414, Val Acc: 0.5638
2026-07-12 03:32:36,020 - INFO - [Train Regular Models] Epoch [4/25], Train Loss: 0.2844, Val Loss: 0.6315, Train Acc: 0.9668, Val Acc: 0.6510
2026-07-12 03:32:55,263 - INFO - [Train Regular Models] Epoch [5/25], Train Loss: 0.2859, Val Loss: 0.7211, Train Acc: 0.9707, Val Acc: 0.5638
2026-07-12 03:33:14,501 - INFO - [Train Regular Models] Epoch [6/25], Train Loss: 0.2325, Val Loss: 0.9358, Train Acc: 0.9805, Val Acc: 0.4698
2026-07-12 03:33:14,644 - INFO - [Train Regular Models] Model saved at epoch 6
2026-07-12 03:33:33,880 - INFO - [Train Regular Models] Epoch [7/25], Train Loss: 0.2187, Val Loss: 0.7759, Train Acc: 0.9805, Val Acc: 0.5235
2026-07-12 03:33:53,131 - INFO - [Train Regular Models] Epoch [8/25], Train Loss: 0.2125, Val Loss: 0.5416, Train Acc: 0.9766, Val Acc: 0.7114
2026-07-12 03:34:12,387 - INFO - [Train Regular Models] Epoch [9/25], Train Loss: 0.2028, Val Loss: 0.7389, Train Acc: 0.9766, Val Acc: 0.5436
2026-07-12 03:34:31,644 - INFO - [Train Regular Models] Epoch [10/25], Train Loss: 0.1780, Val Loss: 0.6119, Train Acc: 0.9844, Val Acc: 0.5906
2026-07-12 03:34:50,913 - INFO - [Train Regular Models] Epoch [11/25], Train Loss: 0.1780, Val Loss: 0.5590, Train Acc: 0.9766, Val Acc: 0.6577
2026-07-12 03:35:10,145 - INFO - [Train Regular Models] Epoch [12/25], Train Loss: 0.1666, Val Loss: 0.5863, Train Acc: 0.9824, Val Acc: 0.6309
2026-07-12 03:35:10,284 - INFO - [Train Regular Models] Model saved at epoch 12
2026-07-12 03:35:29,526 - INFO - [Train Regular Models] Epoch [13/25], Train Loss: 0.1478, Val Loss: 0.5807, Train Acc: 0.9883, Val Acc: 0.6376
2026-07-12 03:35:48,763 - INFO - [Train Regular Models] Epoch [14/25], Train Loss: 0.1381, Val Loss: 0.5071, Train Acc: 0.9844, Val Acc: 0.7718
2026-07-12 03:36:08,030 - INFO - [Train Regular Models] Epoch [15/25], Train Loss: 0.1432, Val Loss: 0.5417, Train Acc: 0.9844, Val Acc: 0.6846
2026-07-12 03:36:27,262 - INFO - [Train Regular Models] Epoch [16/25], Train Loss: 0.1391, Val Loss: 0.4618, Train Acc: 0.9805, Val Acc: 0.8121
2026-07-12 03:36:46,514 - INFO - [Train Regular Models] Epoch [17/25], Train Loss: 0.1399, Val Loss: 0.6550, Train Acc: 0.9805, Val Acc: 0.5705
2026-07-12 03:37:05,766 - INFO - [Train Regular Models] Epoch [18/25], Train Loss: 0.1333, Val Loss: 0.4722, Train Acc: 0.9805, Val Acc: 0.8389
2026-07-12 03:37:05,906 - INFO - [Train Regular Models] Model saved at epoch 18
2026-07-12 03:37:25,145 - INFO - [Train Regular Models] Epoch [19/25], Train Loss: 0.1215, Val Loss: 0.6605, Train Acc: 0.9883, Val Acc: 0.5772
2026-07-12 03:37:44,391 - INFO - [Train Regular Models] Epoch [20/25], Train Loss: 0.1161, Val Loss: 0.5473, Train Acc: 0.9785, Val Acc: 0.7315
2026-07-12 03:38:03,744 - INFO - [Train Regular Models] Epoch [21/25], Train Loss: 0.1231, Val Loss: 0.8221, Train Acc: 0.9785, Val Acc: 0.5570
2026-07-12 03:38:23,012 - INFO - [Train Regular Models] Epoch [22/25], Train Loss: 0.1058, Val Loss: 0.6395, Train Acc: 0.9883, Val Acc: 0.6174
2026-07-12 03:38:42,279 - INFO - [Train Regular Models] Epoch [23/25], Train Loss: 0.1174, Val Loss: 0.6184, Train Acc: 0.9727, Val Acc: 0.6846
2026-07-12 03:39:01,522 - INFO - [Train Regular Models] Epoch [24/25], Train Loss: 0.0956, Val Loss: 0.5305, Train Acc: 0.9902, Val Acc: 0.7651
2026-07-12 03:39:01,666 - INFO - [Train Regular Models] Model saved at epoch 24
2026-07-12 03:39:20,908 - INFO - [Train Regular Models] Epoch [25/25], Train Loss: 0.0972, Val Loss: 0.5180, Train Acc: 0.9746, Val Acc: 0.7987
2026-07-12 03:39:21,867 - INFO - [Train Regular Models] Run 27/30 - Test Loss: 0.4821, Test Accuracy: 0.8454
2026-07-12 03:39:21,962 - INFO - [Train Regular Models] Model saved to outputs/exp1/normal_models/model_27.pt
2026-07-12 03:39:22,249 - INFO - [Train Regular Models] Training model 28/30 (seed 69)...
2026-07-12 03:39:41,571 - INFO - [Train Regular Models] Epoch [1/25], Train Loss: 0.5771, Val Loss: 0.7225, Train Acc: 0.7188, Val Acc: 0.4631
2026-07-12 03:40:00,818 - INFO - [Train Regular Models] Epoch [2/25], Train Loss: 0.4785, Val Loss: 0.6017, Train Acc: 0.8223, Val Acc: 0.6174
2026-07-12 03:40:20,087 - INFO - [Train Regular Models] Epoch [3/25], Train Loss: 0.4445, Val Loss: 0.6060, Train Acc: 0.8730, Val Acc: 0.6779
2026-07-12 03:40:39,349 - INFO - [Train Regular Models] Epoch [4/25], Train Loss: 0.4036, Val Loss: 0.6391, Train Acc: 0.9160, Val Acc: 0.6644
2026-07-12 03:40:58,616 - INFO - [Train Regular Models] Epoch [5/25], Train Loss: 0.3759, Val Loss: 0.7607, Train Acc: 0.9414, Val Acc: 0.4631
2026-07-12 03:41:17,914 - INFO - [Train Regular Models] Epoch [6/25], Train Loss: 0.3416, Val Loss: 0.7546, Train Acc: 0.9648, Val Acc: 0.5235
2026-07-12 03:41:18,060 - INFO - [Train Regular Models] Model saved at epoch 6
2026-07-12 03:41:37,355 - INFO - [Train Regular Models] Epoch [7/25], Train Loss: 0.3200, Val Loss: 0.7090, Train Acc: 0.9727, Val Acc: 0.5034
2026-07-12 03:41:56,649 - INFO - [Train Regular Models] Epoch [8/25], Train Loss: 0.3030, Val Loss: 0.6015, Train Acc: 0.9805, Val Acc: 0.6376
2026-07-12 03:42:15,947 - INFO - [Train Regular Models] Epoch [9/25], Train Loss: 0.2906, Val Loss: 0.6084, Train Acc: 0.9785, Val Acc: 0.5839
2026-07-12 03:42:35,237 - INFO - [Train Regular Models] Epoch [10/25], Train Loss: 0.2709, Val Loss: 0.5406, Train Acc: 0.9746, Val Acc: 0.6846
2026-07-12 03:42:54,547 - INFO - [Train Regular Models] Epoch [11/25], Train Loss: 0.2494, Val Loss: 0.6096, Train Acc: 0.9824, Val Acc: 0.5839
2026-07-12 03:43:13,834 - INFO - [Train Regular Models] Epoch [12/25], Train Loss: 0.2485, Val Loss: 0.5887, Train Acc: 0.9844, Val Acc: 0.5906
2026-07-12 03:43:13,977 - INFO - [Train Regular Models] Model saved at epoch 12
2026-07-12 03:43:33,271 - INFO - [Train Regular Models] Epoch [13/25], Train Loss: 0.2257, Val Loss: 0.8326, Train Acc: 0.9824, Val Acc: 0.4765
2026-07-12 03:43:52,550 - INFO - [Train Regular Models] Epoch [14/25], Train Loss: 0.2243, Val Loss: 0.6487, Train Acc: 0.9746, Val Acc: 0.5705
2026-07-12 03:44:11,843 - INFO - [Train Regular Models] Epoch [15/25], Train Loss: 0.2116, Val Loss: 0.5670, Train Acc: 0.9805, Val Acc: 0.6443
2026-07-12 03:44:31,150 - INFO - [Train Regular Models] Epoch [16/25], Train Loss: 0.2134, Val Loss: 0.6435, Train Acc: 0.9844, Val Acc: 0.5705
2026-07-12 03:44:50,454 - INFO - [Train Regular Models] Epoch [17/25], Train Loss: 0.1900, Val Loss: 0.5373, Train Acc: 0.9824, Val Acc: 0.7315
2026-07-12 03:45:09,755 - INFO - [Train Regular Models] Epoch [18/25], Train Loss: 0.1792, Val Loss: 0.7346, Train Acc: 0.9844, Val Acc: 0.5302
2026-07-12 03:45:09,898 - INFO - [Train Regular Models] Model saved at epoch 18
2026-07-12 03:45:29,171 - INFO - [Train Regular Models] Epoch [19/25], Train Loss: 0.1854, Val Loss: 0.5481, Train Acc: 0.9766, Val Acc: 0.6779
2026-07-12 03:45:48,480 - INFO - [Train Regular Models] Epoch [20/25], Train Loss: 0.1747, Val Loss: 0.5688, Train Acc: 0.9844, Val Acc: 0.6040
2026-07-12 03:46:07,753 - INFO - [Train Regular Models] Epoch [21/25], Train Loss: 0.1599, Val Loss: 0.7138, Train Acc: 0.9844, Val Acc: 0.6309
2026-07-12 03:46:27,035 - INFO - [Train Regular Models] Epoch [22/25], Train Loss: 0.1585, Val Loss: 1.0336, Train Acc: 0.9766, Val Acc: 0.4698
2026-07-12 03:46:46,325 - INFO - [Train Regular Models] Epoch [23/25], Train Loss: 0.1619, Val Loss: 0.5923, Train Acc: 0.9648, Val Acc: 0.6174
2026-07-12 03:47:05,610 - INFO - [Train Regular Models] Epoch [24/25], Train Loss: 0.1390, Val Loss: 0.6497, Train Acc: 0.9863, Val Acc: 0.5772
2026-07-12 03:47:05,752 - INFO - [Train Regular Models] Model saved at epoch 24
2026-07-12 03:47:25,033 - INFO - [Train Regular Models] Epoch [25/25], Train Loss: 0.1428, Val Loss: 0.8734, Train Acc: 0.9824, Val Acc: 0.5168
2026-07-12 03:47:25,985 - INFO - [Train Regular Models] Run 28/30 - Test Loss: 0.6464, Test Accuracy: 0.6186
2026-07-12 03:47:26,079 - INFO - [Train Regular Models] Model saved to outputs/exp1/normal_models/model_28.pt
2026-07-12 03:47:26,367 - INFO - [Train Regular Models] Training model 29/30 (seed 70)...
2026-07-12 03:47:45,704 - INFO - [Train Regular Models] Epoch [1/25], Train Loss: 0.5801, Val Loss: 0.6410, Train Acc: 0.7676, Val Acc: 0.7114
2026-07-12 03:48:04,991 - INFO - [Train Regular Models] Epoch [2/25], Train Loss: 0.4818, Val Loss: 0.6425, Train Acc: 0.9004, Val Acc: 0.6913
2026-07-12 03:48:24,285 - INFO - [Train Regular Models] Epoch [3/25], Train Loss: 0.4319, Val Loss: 0.6025, Train Acc: 0.9277, Val Acc: 0.7114
2026-07-12 03:48:43,570 - INFO - [Train Regular Models] Epoch [4/25], Train Loss: 0.4006, Val Loss: 0.5553, Train Acc: 0.9648, Val Acc: 0.7517
2026-07-12 03:49:02,855 - INFO - [Train Regular Models] Epoch [5/25], Train Loss: 0.3618, Val Loss: 0.5628, Train Acc: 0.9727, Val Acc: 0.8121
2026-07-12 03:49:22,158 - INFO - [Train Regular Models] Epoch [6/25], Train Loss: 0.3737, Val Loss: 0.7802, Train Acc: 0.9648, Val Acc: 0.4966
2026-07-12 03:49:22,306 - INFO - [Train Regular Models] Model saved at epoch 6
2026-07-12 03:49:41,586 - INFO - [Train Regular Models] Epoch [7/25], Train Loss: 0.3431, Val Loss: 0.6672, Train Acc: 0.9609, Val Acc: 0.5570
2026-07-12 03:50:00,878 - INFO - [Train Regular Models] Epoch [8/25], Train Loss: 0.3148, Val Loss: 0.6422, Train Acc: 0.9746, Val Acc: 0.5973
2026-07-12 03:50:20,177 - INFO - [Train Regular Models] Epoch [9/25], Train Loss: 0.3022, Val Loss: 0.5856, Train Acc: 0.9688, Val Acc: 0.7718
2026-07-12 03:50:39,480 - INFO - [Train Regular Models] Epoch [10/25], Train Loss: 0.2760, Val Loss: 0.5808, Train Acc: 0.9824, Val Acc: 0.7450
2026-07-12 03:50:58,752 - INFO - [Train Regular Models] Epoch [11/25], Train Loss: 0.2603, Val Loss: 0.5907, Train Acc: 0.9785, Val Acc: 0.6577
2026-07-12 03:51:18,034 - INFO - [Train Regular Models] Epoch [12/25], Train Loss: 0.2509, Val Loss: 0.5565, Train Acc: 0.9785, Val Acc: 0.7181
2026-07-12 03:51:18,174 - INFO - [Train Regular Models] Model saved at epoch 12
2026-07-12 03:51:37,445 - INFO - [Train Regular Models] Epoch [13/25], Train Loss: 0.2394, Val Loss: 0.5847, Train Acc: 0.9766, Val Acc: 0.6510
2026-07-12 03:51:56,730 - INFO - [Train Regular Models] Epoch [14/25], Train Loss: 0.2239, Val Loss: 0.5486, Train Acc: 0.9785, Val Acc: 0.7785
2026-07-12 03:52:16,006 - INFO - [Train Regular Models] Epoch [15/25], Train Loss: 0.2176, Val Loss: 0.5927, Train Acc: 0.9805, Val Acc: 0.6174
2026-07-12 03:52:35,294 - INFO - [Train Regular Models] Epoch [16/25], Train Loss: 0.1982, Val Loss: 0.6178, Train Acc: 0.9746, Val Acc: 0.5906
2026-07-12 03:52:54,588 - INFO - [Train Regular Models] Epoch [17/25], Train Loss: 0.1786, Val Loss: 0.6681, Train Acc: 0.9883, Val Acc: 0.5638
2026-07-12 03:53:13,878 - INFO - [Train Regular Models] Epoch [18/25], Train Loss: 0.1837, Val Loss: 0.5586, Train Acc: 0.9805, Val Acc: 0.6510
2026-07-12 03:53:14,019 - INFO - [Train Regular Models] Model saved at epoch 18
2026-07-12 03:53:33,302 - INFO - [Train Regular Models] Epoch [19/25], Train Loss: 0.1792, Val Loss: 0.6160, Train Acc: 0.9785, Val Acc: 0.6040
2026-07-12 03:53:52,579 - INFO - [Train Regular Models] Epoch [20/25], Train Loss: 0.1583, Val Loss: 0.5583, Train Acc: 0.9746, Val Acc: 0.6577
2026-07-12 03:54:11,885 - INFO - [Train Regular Models] Epoch [21/25], Train Loss: 0.1515, Val Loss: 0.7146, Train Acc: 0.9863, Val Acc: 0.5638
2026-07-12 03:54:31,185 - INFO - [Train Regular Models] Epoch [22/25], Train Loss: 0.1563, Val Loss: 0.5937, Train Acc: 0.9785, Val Acc: 0.6174
2026-07-12 03:54:50,471 - INFO - [Train Regular Models] Epoch [23/25], Train Loss: 0.1465, Val Loss: 0.4911, Train Acc: 0.9805, Val Acc: 0.7517
2026-07-12 03:55:09,771 - INFO - [Train Regular Models] Epoch [24/25], Train Loss: 0.1294, Val Loss: 0.5350, Train Acc: 0.9863, Val Acc: 0.6846
2026-07-12 03:55:09,912 - INFO - [Train Regular Models] Model saved at epoch 24
2026-07-12 03:55:29,179 - INFO - [Train Regular Models] Epoch [25/25], Train Loss: 0.1248, Val Loss: 0.6873, Train Acc: 0.9883, Val Acc: 0.5906
2026-07-12 03:55:30,132 - INFO - [Train Regular Models] Run 29/30 - Test Loss: 0.4962, Test Accuracy: 0.6701
2026-07-12 03:55:30,229 - INFO - [Train Regular Models] Model saved to outputs/exp1/normal_models/model_29.pt
2026-07-12 03:55:30,518 - INFO - [Train Regular Models] Training model 30/30 (seed 71)...
2026-07-12 03:55:49,883 - INFO - [Train Regular Models] Epoch [1/25], Train Loss: 0.5481, Val Loss: 0.7297, Train Acc: 0.7891, Val Acc: 0.5034
2026-07-12 03:56:09,142 - INFO - [Train Regular Models] Epoch [2/25], Train Loss: 0.4417, Val Loss: 0.6434, Train Acc: 0.9141, Val Acc: 0.6376
2026-07-12 03:56:28,430 - INFO - [Train Regular Models] Epoch [3/25], Train Loss: 0.4003, Val Loss: 0.6862, Train Acc: 0.9375, Val Acc: 0.5302
2026-07-12 03:56:47,700 - INFO - [Train Regular Models] Epoch [4/25], Train Loss: 0.3870, Val Loss: 0.6925, Train Acc: 0.9473, Val Acc: 0.5638
2026-07-12 03:57:06,984 - INFO - [Train Regular Models] Epoch [5/25], Train Loss: 0.3496, Val Loss: 0.6528, Train Acc: 0.9648, Val Acc: 0.5772
2026-07-12 03:57:26,259 - INFO - [Train Regular Models] Epoch [6/25], Train Loss: 0.3472, Val Loss: 0.5323, Train Acc: 0.9648, Val Acc: 0.8389
2026-07-12 03:57:26,405 - INFO - [Train Regular Models] Model saved at epoch 6
2026-07-12 03:57:45,679 - INFO - [Train Regular Models] Epoch [7/25], Train Loss: 0.3152, Val Loss: 0.6382, Train Acc: 0.9688, Val Acc: 0.6107
2026-07-12 03:58:04,947 - INFO - [Train Regular Models] Epoch [8/25], Train Loss: 0.2929, Val Loss: 0.6256, Train Acc: 0.9727, Val Acc: 0.6309
2026-07-12 03:58:24,215 - INFO - [Train Regular Models] Epoch [9/25], Train Loss: 0.2867, Val Loss: 0.7320, Train Acc: 0.9629, Val Acc: 0.5503
2026-07-12 03:58:43,486 - INFO - [Train Regular Models] Epoch [10/25], Train Loss: 0.2608, Val Loss: 0.7428, Train Acc: 0.9805, Val Acc: 0.5436
2026-07-12 03:59:02,753 - INFO - [Train Regular Models] Epoch [11/25], Train Loss: 0.2393, Val Loss: 0.6536, Train Acc: 0.9805, Val Acc: 0.5973
2026-07-12 03:59:22,020 - INFO - [Train Regular Models] Epoch [12/25], Train Loss: 0.2368, Val Loss: 0.5800, Train Acc: 0.9824, Val Acc: 0.6644
2026-07-12 03:59:22,161 - INFO - [Train Regular Models] Model saved at epoch 12
2026-07-12 03:59:41,441 - INFO - [Train Regular Models] Epoch [13/25], Train Loss: 0.2098, Val Loss: 0.6024, Train Acc: 0.9824, Val Acc: 0.6309
2026-07-12 04:00:00,722 - INFO - [Train Regular Models] Epoch [14/25], Train Loss: 0.2103, Val Loss: 0.7467, Train Acc: 0.9785, Val Acc: 0.5570
2026-07-12 04:00:20,022 - INFO - [Train Regular Models] Epoch [15/25], Train Loss: 0.1905, Val Loss: 0.6525, Train Acc: 0.9902, Val Acc: 0.5839
2026-07-12 04:00:39,299 - INFO - [Train Regular Models] Epoch [16/25], Train Loss: 0.2015, Val Loss: 0.7386, Train Acc: 0.9785, Val Acc: 0.5570
2026-07-12 04:00:58,592 - INFO - [Train Regular Models] Epoch [17/25], Train Loss: 0.1793, Val Loss: 0.6565, Train Acc: 0.9863, Val Acc: 0.6040
2026-07-12 04:01:17,885 - INFO - [Train Regular Models] Epoch [18/25], Train Loss: 0.1736, Val Loss: 0.6300, Train Acc: 0.9727, Val Acc: 0.5973
2026-07-12 04:01:18,027 - INFO - [Train Regular Models] Model saved at epoch 18
2026-07-12 04:01:37,318 - INFO - [Train Regular Models] Epoch [19/25], Train Loss: 0.1778, Val Loss: 0.6921, Train Acc: 0.9746, Val Acc: 0.5638
2026-07-12 04:01:56,615 - INFO - [Train Regular Models] Epoch [20/25], Train Loss: 0.1497, Val Loss: 0.6241, Train Acc: 0.9844, Val Acc: 0.6040
2026-07-12 04:02:16,033 - INFO - [Train Regular Models] Epoch [21/25], Train Loss: 0.1501, Val Loss: 0.6559, Train Acc: 0.9883, Val Acc: 0.5772
2026-07-12 04:02:35,298 - INFO - [Train Regular Models] Epoch [22/25], Train Loss: 0.1503, Val Loss: 0.6641, Train Acc: 0.9805, Val Acc: 0.5772
2026-07-12 04:02:54,612 - INFO - [Train Regular Models] Epoch [23/25], Train Loss: 0.1377, Val Loss: 0.6170, Train Acc: 0.9883, Val Acc: 0.6174
2026-07-12 04:03:13,888 - INFO - [Train Regular Models] Epoch [24/25], Train Loss: 0.1301, Val Loss: 0.5357, Train Acc: 0.9785, Val Acc: 0.7987
2026-07-12 04:03:14,032 - INFO - [Train Regular Models] Model saved at epoch 24
2026-07-12 04:03:33,321 - INFO - [Train Regular Models] Epoch [25/25], Train Loss: 0.1242, Val Loss: 0.7001, Train Acc: 0.9805, Val Acc: 0.5839
2026-07-12 04:03:34,270 - INFO - [Train Regular Models] Run 30/30 - Test Loss: 0.5231, Test Accuracy: 0.6804
2026-07-12 04:03:34,366 - INFO - [Train Regular Models] Model saved to outputs/exp1/normal_models/model_30.pt
2026-07-12 04:03:34,652 - INFO - [Train Regular Models] All models trained and saved successfully.
2026-07-12 04:03:34,652 - INFO - [Train Regular Models] Task completed.
2026-07-12 04:03:34,654 - INFO - [SYSTEM] Starting Task 3/7: Train Bayesian Models
2026-07-12 04:03:34,654 - INFO - [Train Bayesian Models] Starting bayesian model training...
2026-07-12 04:03:34,655 - INFO - [Train Bayesian Models] Intermediate models will be saved to outputs/exp1/bayesian_models/intermediate_models
2026-07-12 04:03:34,656 - INFO - [Train Bayesian Models] Training model 1/30 (seed 100042)...
2026-07-12 04:03:54,614 - INFO - [Train Bayesian Models] Epoch [1/25], Train Loss: 2.5917, Val Loss: 2.7292, Train Acc: 0.5508, Val Acc: 0.5503
2026-07-12 04:04:14,223 - INFO - [Train Bayesian Models] Epoch [2/25], Train Loss: 2.5847, Val Loss: 2.7998, Train Acc: 0.5664, Val Acc: 0.4497
2026-07-12 04:04:33,832 - INFO - [Train Bayesian Models] Epoch [3/25], Train Loss: 2.5649, Val Loss: 2.7754, Train Acc: 0.6465, Val Acc: 0.5436
2026-07-12 04:04:53,435 - INFO - [Train Bayesian Models] Epoch [4/25], Train Loss: 2.5694, Val Loss: 2.8342, Train Acc: 0.6074, Val Acc: 0.4094
2026-07-12 04:05:13,036 - INFO - [Train Bayesian Models] Epoch [5/25], Train Loss: 2.5552, Val Loss: 2.7322, Train Acc: 0.6504, Val Acc: 0.5235
2026-07-12 04:05:32,644 - INFO - [Train Bayesian Models] Epoch [6/25], Train Loss: 2.5369, Val Loss: 2.8943, Train Acc: 0.7246, Val Acc: 0.4966
2026-07-12 04:05:32,825 - INFO - [Train Bayesian Models] Model saved at epoch 6
2026-07-12 04:05:52,430 - INFO - [Train Bayesian Models] Epoch [7/25], Train Loss: 2.5199, Val Loss: 2.7626, Train Acc: 0.7461, Val Acc: 0.5369
2026-07-12 04:06:12,044 - INFO - [Train Bayesian Models] Epoch [8/25], Train Loss: 2.5067, Val Loss: 2.7096, Train Acc: 0.7773, Val Acc: 0.6846
2026-07-12 04:06:31,657 - INFO - [Train Bayesian Models] Epoch [9/25], Train Loss: 2.5029, Val Loss: 2.7920, Train Acc: 0.7812, Val Acc: 0.4966
2026-07-12 04:06:51,258 - INFO - [Train Bayesian Models] Epoch [10/25], Train Loss: 2.4822, Val Loss: 2.8437, Train Acc: 0.8027, Val Acc: 0.5034
2026-07-12 04:07:10,877 - INFO - [Train Bayesian Models] Epoch [11/25], Train Loss: 2.4843, Val Loss: 2.6926, Train Acc: 0.8008, Val Acc: 0.6443
2026-07-12 04:07:30,485 - INFO - [Train Bayesian Models] Epoch [12/25], Train Loss: 2.4548, Val Loss: 2.7766, Train Acc: 0.8418, Val Acc: 0.6309
2026-07-12 04:07:30,659 - INFO - [Train Bayesian Models] Model saved at epoch 12
2026-07-12 04:07:50,237 - INFO - [Train Bayesian Models] Epoch [13/25], Train Loss: 2.4274, Val Loss: 2.7253, Train Acc: 0.8574, Val Acc: 0.5369
2026-07-12 04:08:09,832 - INFO - [Train Bayesian Models] Epoch [14/25], Train Loss: 2.4282, Val Loss: 2.6837, Train Acc: 0.8633, Val Acc: 0.6711
2026-07-12 04:08:29,401 - INFO - [Train Bayesian Models] Epoch [15/25], Train Loss: 2.4137, Val Loss: 2.8011, Train Acc: 0.8828, Val Acc: 0.5369
2026-07-12 04:08:48,977 - INFO - [Train Bayesian Models] Epoch [16/25], Train Loss: 2.3950, Val Loss: 2.7008, Train Acc: 0.8848, Val Acc: 0.6577
2026-07-12 04:09:08,562 - INFO - [Train Bayesian Models] Epoch [17/25], Train Loss: 2.3852, Val Loss: 2.7135, Train Acc: 0.8867, Val Acc: 0.5570
2026-07-12 04:09:28,164 - INFO - [Train Bayesian Models] Epoch [18/25], Train Loss: 2.3809, Val Loss: 2.6241, Train Acc: 0.8750, Val Acc: 0.6577
2026-07-12 04:09:28,338 - INFO - [Train Bayesian Models] Model saved at epoch 18
2026-07-12 04:09:47,895 - INFO - [Train Bayesian Models] Epoch [19/25], Train Loss: 2.3759, Val Loss: 2.6782, Train Acc: 0.8984, Val Acc: 0.6174
2026-07-12 04:10:07,486 - INFO - [Train Bayesian Models] Epoch [20/25], Train Loss: 2.3348, Val Loss: 2.6868, Train Acc: 0.9160, Val Acc: 0.6577
2026-07-12 04:10:27,078 - INFO - [Train Bayesian Models] Epoch [21/25], Train Loss: 2.3243, Val Loss: 2.7037, Train Acc: 0.9180, Val Acc: 0.6174
2026-07-12 04:10:46,664 - INFO - [Train Bayesian Models] Epoch [22/25], Train Loss: 2.3118, Val Loss: 2.7602, Train Acc: 0.9062, Val Acc: 0.5369
2026-07-12 04:11:06,239 - INFO - [Train Bayesian Models] Epoch [23/25], Train Loss: 2.3074, Val Loss: 2.6169, Train Acc: 0.9043, Val Acc: 0.7315
2026-07-12 04:11:25,809 - INFO - [Train Bayesian Models] Epoch [24/25], Train Loss: 2.2712, Val Loss: 2.6573, Train Acc: 0.9336, Val Acc: 0.5705
2026-07-12 04:11:25,980 - INFO - [Train Bayesian Models] Model saved at epoch 24
2026-07-12 04:11:45,561 - INFO - [Train Bayesian Models] Epoch [25/25], Train Loss: 2.2650, Val Loss: 2.7177, Train Acc: 0.9258, Val Acc: 0.5235
2026-07-12 04:11:46,532 - INFO - [Train Bayesian Models] Run 1/30 - Test Loss: 2.9769, Test Accuracy: 0.7010
2026-07-12 04:11:46,706 - INFO - [Train Bayesian Models] Model saved to outputs/exp1/bayesian_models/model_1.pt
2026-07-12 04:11:47,028 - INFO - [Train Bayesian Models] Training model 2/30 (seed 100043)...
2026-07-12 04:12:06,902 - INFO - [Train Bayesian Models] Epoch [1/25], Train Loss: 2.5957, Val Loss: 2.7756, Train Acc: 0.4941, Val Acc: 0.5839
2026-07-12 04:12:26,473 - INFO - [Train Bayesian Models] Epoch [2/25], Train Loss: 2.5730, Val Loss: 2.7958, Train Acc: 0.5742, Val Acc: 0.5168
2026-07-12 04:12:46,050 - INFO - [Train Bayesian Models] Epoch [3/25], Train Loss: 2.5485, Val Loss: 2.8973, Train Acc: 0.6641, Val Acc: 0.5101
2026-07-12 04:13:05,649 - INFO - [Train Bayesian Models] Epoch [4/25], Train Loss: 2.5360, Val Loss: 3.0923, Train Acc: 0.6973, Val Acc: 0.4899
2026-07-12 04:13:25,233 - INFO - [Train Bayesian Models] Epoch [5/25], Train Loss: 2.5407, Val Loss: 2.7918, Train Acc: 0.6875, Val Acc: 0.6040
2026-07-12 04:13:44,809 - INFO - [Train Bayesian Models] Epoch [6/25], Train Loss: 2.5034, Val Loss: 3.0086, Train Acc: 0.7461, Val Acc: 0.5638
2026-07-12 04:13:45,072 - INFO - [Train Bayesian Models] Model saved at epoch 6
2026-07-12 04:14:04,644 - INFO - [Train Bayesian Models] Epoch [7/25], Train Loss: 2.4885, Val Loss: 3.1544, Train Acc: 0.7695, Val Acc: 0.5839
2026-07-12 04:14:24,240 - INFO - [Train Bayesian Models] Epoch [8/25], Train Loss: 2.4920, Val Loss: 2.8126, Train Acc: 0.7598, Val Acc: 0.5302
2026-07-12 04:14:43,849 - INFO - [Train Bayesian Models] Epoch [9/25], Train Loss: 2.4701, Val Loss: 3.0514, Train Acc: 0.7852, Val Acc: 0.5436
2026-07-12 04:15:03,429 - INFO - [Train Bayesian Models] Epoch [10/25], Train Loss: 2.4583, Val Loss: 3.0303, Train Acc: 0.8203, Val Acc: 0.5369
2026-07-12 04:15:22,999 - INFO - [Train Bayesian Models] Epoch [11/25], Train Loss: 2.4415, Val Loss: 2.7917, Train Acc: 0.8320, Val Acc: 0.5436
2026-07-12 04:15:42,582 - INFO - [Train Bayesian Models] Epoch [12/25], Train Loss: 2.4153, Val Loss: 2.8294, Train Acc: 0.8691, Val Acc: 0.6443
2026-07-12 04:15:42,843 - INFO - [Train Bayesian Models] Model saved at epoch 12
2026-07-12 04:16:02,422 - INFO - [Train Bayesian Models] Epoch [13/25], Train Loss: 2.3960, Val Loss: 2.7882, Train Acc: 0.8750, Val Acc: 0.5570
2026-07-12 04:16:22,003 - INFO - [Train Bayesian Models] Epoch [14/25], Train Loss: 2.3971, Val Loss: 2.7740, Train Acc: 0.8555, Val Acc: 0.5369
2026-07-12 04:16:41,576 - INFO - [Train Bayesian Models] Epoch [15/25], Train Loss: 2.3644, Val Loss: 2.9452, Train Acc: 0.8906, Val Acc: 0.5705
2026-07-12 04:17:01,172 - INFO - [Train Bayesian Models] Epoch [16/25], Train Loss: 2.3444, Val Loss: 3.4303, Train Acc: 0.8770, Val Acc: 0.5503
2026-07-12 04:17:20,786 - INFO - [Train Bayesian Models] Epoch [17/25], Train Loss: 2.3347, Val Loss: 2.6434, Train Acc: 0.8770, Val Acc: 0.6846
2026-07-12 04:17:40,352 - INFO - [Train Bayesian Models] Epoch [18/25], Train Loss: 2.3175, Val Loss: 2.8004, Train Acc: 0.8965, Val Acc: 0.5839
2026-07-12 04:17:40,608 - INFO - [Train Bayesian Models] Model saved at epoch 18
2026-07-12 04:18:00,172 - INFO - [Train Bayesian Models] Epoch [19/25], Train Loss: 2.3003, Val Loss: 2.6946, Train Acc: 0.9258, Val Acc: 0.5839
2026-07-12 04:18:19,746 - INFO - [Train Bayesian Models] Epoch [20/25], Train Loss: 2.2864, Val Loss: 3.2655, Train Acc: 0.9199, Val Acc: 0.6040
2026-07-12 04:18:39,332 - INFO - [Train Bayesian Models] Epoch [21/25], Train Loss: 2.2971, Val Loss: 2.7272, Train Acc: 0.9102, Val Acc: 0.6107
2026-07-12 04:18:58,905 - INFO - [Train Bayesian Models] Epoch [22/25], Train Loss: 2.2587, Val Loss: 3.1132, Train Acc: 0.9160, Val Acc: 0.5369
2026-07-12 04:19:18,502 - INFO - [Train Bayesian Models] Epoch [23/25], Train Loss: 2.2585, Val Loss: 2.7659, Train Acc: 0.9141, Val Acc: 0.6242
2026-07-12 04:19:38,079 - INFO - [Train Bayesian Models] Epoch [24/25], Train Loss: 2.2373, Val Loss: 2.7715, Train Acc: 0.9258, Val Acc: 0.5503
2026-07-12 04:19:38,330 - INFO - [Train Bayesian Models] Model saved at epoch 24
2026-07-12 04:19:57,914 - INFO - [Train Bayesian Models] Epoch [25/25], Train Loss: 2.2195, Val Loss: 2.6556, Train Acc: 0.9258, Val Acc: 0.6309
2026-07-12 04:19:58,886 - INFO - [Train Bayesian Models] Run 2/30 - Test Loss: 3.6166, Test Accuracy: 0.5155
2026-07-12 04:19:59,066 - INFO - [Train Bayesian Models] Model saved to outputs/exp1/bayesian_models/model_2.pt
2026-07-12 04:19:59,388 - INFO - [Train Bayesian Models] Training model 3/30 (seed 100044)...
2026-07-12 04:20:19,248 - INFO - [Train Bayesian Models] Epoch [1/25], Train Loss: 2.5917, Val Loss: 2.7633, Train Acc: 0.5234, Val Acc: 0.4027
2026-07-12 04:20:38,828 - INFO - [Train Bayesian Models] Epoch [2/25], Train Loss: 2.5937, Val Loss: 2.7986, Train Acc: 0.5156, Val Acc: 0.5101
2026-07-12 04:20:58,402 - INFO - [Train Bayesian Models] Epoch [3/25], Train Loss: 2.5729, Val Loss: 2.8601, Train Acc: 0.5781, Val Acc: 0.4698
2026-07-12 04:21:17,994 - INFO - [Train Bayesian Models] Epoch [4/25], Train Loss: 2.5693, Val Loss: 2.8564, Train Acc: 0.5879, Val Acc: 0.5369
2026-07-12 04:21:37,582 - INFO - [Train Bayesian Models] Epoch [5/25], Train Loss: 2.5674, Val Loss: 2.8334, Train Acc: 0.5879, Val Acc: 0.4899
2026-07-12 04:21:57,155 - INFO - [Train Bayesian Models] Epoch [6/25], Train Loss: 2.5530, Val Loss: 2.7694, Train Acc: 0.6797, Val Acc: 0.4631
2026-07-12 04:21:57,381 - INFO - [Train Bayesian Models] Model saved at epoch 6
2026-07-12 04:22:16,932 - INFO - [Train Bayesian Models] Epoch [7/25], Train Loss: 2.5511, Val Loss: 2.7306, Train Acc: 0.6445, Val Acc: 0.5839
2026-07-12 04:22:36,511 - INFO - [Train Bayesian Models] Epoch [8/25], Train Loss: 2.5330, Val Loss: 2.7991, Train Acc: 0.7090, Val Acc: 0.5436
2026-07-12 04:22:56,106 - INFO - [Train Bayesian Models] Epoch [9/25], Train Loss: 2.5294, Val Loss: 2.7283, Train Acc: 0.7129, Val Acc: 0.4765
2026-07-12 04:23:15,709 - INFO - [Train Bayesian Models] Epoch [10/25], Train Loss: 2.5258, Val Loss: 2.7501, Train Acc: 0.7441, Val Acc: 0.5906
2026-07-12 04:23:35,299 - INFO - [Train Bayesian Models] Epoch [11/25], Train Loss: 2.5080, Val Loss: 2.7385, Train Acc: 0.7754, Val Acc: 0.5973
2026-07-12 04:23:54,893 - INFO - [Train Bayesian Models] Epoch [12/25], Train Loss: 2.4931, Val Loss: 2.6871, Train Acc: 0.7988, Val Acc: 0.5839
2026-07-12 04:23:55,124 - INFO - [Train Bayesian Models] Model saved at epoch 12
2026-07-12 04:24:14,697 - INFO - [Train Bayesian Models] Epoch [13/25], Train Loss: 2.4881, Val Loss: 2.7450, Train Acc: 0.8203, Val Acc: 0.5302
2026-07-12 04:24:34,269 - INFO - [Train Bayesian Models] Epoch [14/25], Train Loss: 2.4814, Val Loss: 2.7786, Train Acc: 0.7930, Val Acc: 0.4966
2026-07-12 04:24:53,851 - INFO - [Train Bayesian Models] Epoch [15/25], Train Loss: 2.4504, Val Loss: 2.7651, Train Acc: 0.8496, Val Acc: 0.6040
2026-07-12 04:25:13,430 - INFO - [Train Bayesian Models] Epoch [16/25], Train Loss: 2.4619, Val Loss: 2.6722, Train Acc: 0.8301, Val Acc: 0.6309
2026-07-12 04:25:33,002 - INFO - [Train Bayesian Models] Epoch [17/25], Train Loss: 2.4233, Val Loss: 2.8009, Train Acc: 0.8730, Val Acc: 0.5235
2026-07-12 04:25:52,571 - INFO - [Train Bayesian Models] Epoch [18/25], Train Loss: 2.4000, Val Loss: 2.7964, Train Acc: 0.8926, Val Acc: 0.5570
2026-07-12 04:25:52,797 - INFO - [Train Bayesian Models] Model saved at epoch 18
2026-07-12 04:26:12,402 - INFO - [Train Bayesian Models] Epoch [19/25], Train Loss: 2.4188, Val Loss: 2.8866, Train Acc: 0.8809, Val Acc: 0.4362
2026-07-12 04:26:31,986 - INFO - [Train Bayesian Models] Epoch [20/25], Train Loss: 2.3897, Val Loss: 2.7982, Train Acc: 0.8906, Val Acc: 0.6242
2026-07-12 04:26:51,564 - INFO - [Train Bayesian Models] Epoch [21/25], Train Loss: 2.3761, Val Loss: 2.6234, Train Acc: 0.8926, Val Acc: 0.6711
2026-07-12 04:27:11,136 - INFO - [Train Bayesian Models] Epoch [22/25], Train Loss: 2.3555, Val Loss: 2.6777, Train Acc: 0.8926, Val Acc: 0.6510
2026-07-12 04:27:30,709 - INFO - [Train Bayesian Models] Epoch [23/25], Train Loss: 2.3580, Val Loss: 2.6338, Train Acc: 0.9062, Val Acc: 0.6980
2026-07-12 04:27:50,310 - INFO - [Train Bayesian Models] Epoch [24/25], Train Loss: 2.3182, Val Loss: 2.7775, Train Acc: 0.9004, Val Acc: 0.6309
2026-07-12 04:27:50,532 - INFO - [Train Bayesian Models] Model saved at epoch 24
2026-07-12 04:28:10,104 - INFO - [Train Bayesian Models] Epoch [25/25], Train Loss: 2.3272, Val Loss: 2.6911, Train Acc: 0.9121, Val Acc: 0.6040
2026-07-12 04:28:11,084 - INFO - [Train Bayesian Models] Run 3/30 - Test Loss: 3.0756, Test Accuracy: 0.7526
2026-07-12 04:28:11,226 - INFO - [Train Bayesian Models] Model saved to outputs/exp1/bayesian_models/model_3.pt
2026-07-12 04:28:11,552 - INFO - [Train Bayesian Models] Training model 4/30 (seed 100045)...
2026-07-12 04:28:31,427 - INFO - [Train Bayesian Models] Epoch [1/25], Train Loss: 2.5875, Val Loss: 2.7865, Train Acc: 0.5410, Val Acc: 0.5034
2026-07-12 04:28:50,987 - INFO - [Train Bayesian Models] Epoch [2/25], Train Loss: 2.5710, Val Loss: 2.7398, Train Acc: 0.5996, Val Acc: 0.6107
2026-07-12 04:29:10,575 - INFO - [Train Bayesian Models] Epoch [3/25], Train Loss: 2.5445, Val Loss: 2.7138, Train Acc: 0.6406, Val Acc: 0.5369
2026-07-12 04:29:30,157 - INFO - [Train Bayesian Models] Epoch [4/25], Train Loss: 2.5265, Val Loss: 2.8083, Train Acc: 0.7129, Val Acc: 0.4564
2026-07-12 04:29:49,746 - INFO - [Train Bayesian Models] Epoch [5/25], Train Loss: 2.5223, Val Loss: 3.0497, Train Acc: 0.6973, Val Acc: 0.5705
2026-07-12 04:30:09,325 - INFO - [Train Bayesian Models] Epoch [6/25], Train Loss: 2.4960, Val Loss: 3.2302, Train Acc: 0.7539, Val Acc: 0.4765
2026-07-12 04:30:09,584 - INFO - [Train Bayesian Models] Model saved at epoch 6
2026-07-12 04:30:29,147 - INFO - [Train Bayesian Models] Epoch [7/25], Train Loss: 2.4796, Val Loss: 3.1638, Train Acc: 0.8145, Val Acc: 0.4631
2026-07-12 04:30:48,713 - INFO - [Train Bayesian Models] Epoch [8/25], Train Loss: 2.4678, Val Loss: 3.1589, Train Acc: 0.8027, Val Acc: 0.4094
2026-07-12 04:31:08,287 - INFO - [Train Bayesian Models] Epoch [9/25], Train Loss: 2.4607, Val Loss: 2.8493, Train Acc: 0.7891, Val Acc: 0.5705
2026-07-12 04:31:27,860 - INFO - [Train Bayesian Models] Epoch [10/25], Train Loss: 2.4203, Val Loss: 2.7377, Train Acc: 0.8672, Val Acc: 0.5638
2026-07-12 04:31:47,448 - INFO - [Train Bayesian Models] Epoch [11/25], Train Loss: 2.4245, Val Loss: 2.9919, Train Acc: 0.8379, Val Acc: 0.5168
2026-07-12 04:32:07,038 - INFO - [Train Bayesian Models] Epoch [12/25], Train Loss: 2.3961, Val Loss: 2.7066, Train Acc: 0.8691, Val Acc: 0.5906
2026-07-12 04:32:07,299 - INFO - [Train Bayesian Models] Model saved at epoch 12
2026-07-12 04:32:26,864 - INFO - [Train Bayesian Models] Epoch [13/25], Train Loss: 2.3737, Val Loss: 2.8726, Train Acc: 0.8477, Val Acc: 0.6174
2026-07-12 04:32:46,459 - INFO - [Train Bayesian Models] Epoch [14/25], Train Loss: 2.3724, Val Loss: 2.6701, Train Acc: 0.8750, Val Acc: 0.6107
2026-07-12 04:33:06,045 - INFO - [Train Bayesian Models] Epoch [15/25], Train Loss: 2.3565, Val Loss: 3.0373, Train Acc: 0.8516, Val Acc: 0.5034
2026-07-12 04:33:25,636 - INFO - [Train Bayesian Models] Epoch [16/25], Train Loss: 2.3392, Val Loss: 3.2123, Train Acc: 0.9102, Val Acc: 0.5302
2026-07-12 04:33:45,200 - INFO - [Train Bayesian Models] Epoch [17/25], Train Loss: 2.3263, Val Loss: 2.8510, Train Acc: 0.8906, Val Acc: 0.6040
2026-07-12 04:34:04,769 - INFO - [Train Bayesian Models] Epoch [18/25], Train Loss: 2.3109, Val Loss: 2.7564, Train Acc: 0.8926, Val Acc: 0.5638
2026-07-12 04:34:05,028 - INFO - [Train Bayesian Models] Model saved at epoch 18
2026-07-12 04:34:24,583 - INFO - [Train Bayesian Models] Epoch [19/25], Train Loss: 2.2682, Val Loss: 2.7085, Train Acc: 0.9238, Val Acc: 0.6309
2026-07-12 04:34:44,148 - INFO - [Train Bayesian Models] Epoch [20/25], Train Loss: 2.2757, Val Loss: 2.8341, Train Acc: 0.9277, Val Acc: 0.6779
2026-07-12 04:35:03,726 - INFO - [Train Bayesian Models] Epoch [21/25], Train Loss: 2.2552, Val Loss: 2.6105, Train Acc: 0.9258, Val Acc: 0.6577
2026-07-12 04:35:23,430 - INFO - [Train Bayesian Models] Epoch [22/25], Train Loss: 2.2537, Val Loss: 2.6373, Train Acc: 0.9219, Val Acc: 0.6510
2026-07-12 04:35:43,024 - INFO - [Train Bayesian Models] Epoch [23/25], Train Loss: 2.2381, Val Loss: 2.6212, Train Acc: 0.9258, Val Acc: 0.6309
2026-07-12 04:36:02,619 - INFO - [Train Bayesian Models] Epoch [24/25], Train Loss: 2.2097, Val Loss: 3.0237, Train Acc: 0.9199, Val Acc: 0.5973
2026-07-12 04:36:02,875 - INFO - [Train Bayesian Models] Model saved at epoch 24
2026-07-12 04:36:22,432 - INFO - [Train Bayesian Models] Epoch [25/25], Train Loss: 2.1839, Val Loss: 2.8940, Train Acc: 0.9512, Val Acc: 0.5168
2026-07-12 04:36:23,409 - INFO - [Train Bayesian Models] Run 4/30 - Test Loss: 3.0675, Test Accuracy: 0.5773
2026-07-12 04:36:23,587 - INFO - [Train Bayesian Models] Model saved to outputs/exp1/bayesian_models/model_4.pt
2026-07-12 04:36:23,910 - INFO - [Train Bayesian Models] Training model 5/30 (seed 100046)...
2026-07-12 04:36:43,791 - INFO - [Train Bayesian Models] Epoch [1/25], Train Loss: 2.5943, Val Loss: 2.7716, Train Acc: 0.5410, Val Acc: 0.4698
2026-07-12 04:37:03,383 - INFO - [Train Bayesian Models] Epoch [2/25], Train Loss: 2.5780, Val Loss: 2.7539, Train Acc: 0.5566, Val Acc: 0.5503
2026-07-12 04:37:22,973 - INFO - [Train Bayesian Models] Epoch [3/25], Train Loss: 2.5555, Val Loss: 2.7880, Train Acc: 0.5898, Val Acc: 0.5302
2026-07-12 04:37:42,587 - INFO - [Train Bayesian Models] Epoch [4/25], Train Loss: 2.5440, Val Loss: 3.2935, Train Acc: 0.6230, Val Acc: 0.4497
2026-07-12 04:38:02,167 - INFO - [Train Bayesian Models] Epoch [5/25], Train Loss: 2.5252, Val Loss: 2.7083, Train Acc: 0.6660, Val Acc: 0.5906
2026-07-12 04:38:21,759 - INFO - [Train Bayesian Models] Epoch [6/25], Train Loss: 2.4965, Val Loss: 2.8734, Train Acc: 0.6914, Val Acc: 0.4765
2026-07-12 04:38:22,019 - INFO - [Train Bayesian Models] Model saved at epoch 6
2026-07-12 04:38:41,611 - INFO - [Train Bayesian Models] Epoch [7/25], Train Loss: 2.4739, Val Loss: 2.8688, Train Acc: 0.7422, Val Acc: 0.4497
2026-07-12 04:39:01,196 - INFO - [Train Bayesian Models] Epoch [8/25], Train Loss: 2.4530, Val Loss: 2.8789, Train Acc: 0.7793, Val Acc: 0.5235
2026-07-12 04:39:20,802 - INFO - [Train Bayesian Models] Epoch [9/25], Train Loss: 2.4608, Val Loss: 2.6959, Train Acc: 0.7695, Val Acc: 0.5638
2026-07-12 04:39:40,391 - INFO - [Train Bayesian Models] Epoch [10/25], Train Loss: 2.4255, Val Loss: 2.9979, Train Acc: 0.8164, Val Acc: 0.5302
2026-07-12 04:39:59,991 - INFO - [Train Bayesian Models] Epoch [11/25], Train Loss: 2.4029, Val Loss: 2.6745, Train Acc: 0.8340, Val Acc: 0.5638
2026-07-12 04:40:19,590 - INFO - [Train Bayesian Models] Epoch [12/25], Train Loss: 2.3779, Val Loss: 2.7904, Train Acc: 0.8750, Val Acc: 0.6174
2026-07-12 04:40:19,850 - INFO - [Train Bayesian Models] Model saved at epoch 12
2026-07-12 04:40:39,431 - INFO - [Train Bayesian Models] Epoch [13/25], Train Loss: 2.3488, Val Loss: 2.7030, Train Acc: 0.8770, Val Acc: 0.5638
2026-07-12 04:40:59,024 - INFO - [Train Bayesian Models] Epoch [14/25], Train Loss: 2.3532, Val Loss: 2.6753, Train Acc: 0.8828, Val Acc: 0.7248
2026-07-12 04:41:18,620 - INFO - [Train Bayesian Models] Epoch [15/25], Train Loss: 2.3315, Val Loss: 2.7753, Train Acc: 0.8828, Val Acc: 0.5906
2026-07-12 04:41:38,227 - INFO - [Train Bayesian Models] Epoch [16/25], Train Loss: 2.3123, Val Loss: 2.6886, Train Acc: 0.8965, Val Acc: 0.5973
2026-07-12 04:41:57,811 - INFO - [Train Bayesian Models] Epoch [17/25], Train Loss: 2.2884, Val Loss: 2.6851, Train Acc: 0.9043, Val Acc: 0.6309
2026-07-12 04:42:17,404 - INFO - [Train Bayesian Models] Epoch [18/25], Train Loss: 2.2719, Val Loss: 2.8682, Train Acc: 0.9102, Val Acc: 0.5705
2026-07-12 04:42:17,664 - INFO - [Train Bayesian Models] Model saved at epoch 18
2026-07-12 04:42:37,250 - INFO - [Train Bayesian Models] Epoch [19/25], Train Loss: 2.2611, Val Loss: 2.7158, Train Acc: 0.9160, Val Acc: 0.5503
2026-07-12 04:42:56,849 - INFO - [Train Bayesian Models] Epoch [20/25], Train Loss: 2.2459, Val Loss: 2.7148, Train Acc: 0.9238, Val Acc: 0.6174
2026-07-12 04:43:16,448 - INFO - [Train Bayesian Models] Epoch [21/25], Train Loss: 2.2440, Val Loss: 2.8584, Train Acc: 0.9316, Val Acc: 0.5570
2026-07-12 04:43:36,033 - INFO - [Train Bayesian Models] Epoch [22/25], Train Loss: 2.2296, Val Loss: 3.4860, Train Acc: 0.9297, Val Acc: 0.5168
2026-07-12 04:43:55,625 - INFO - [Train Bayesian Models] Epoch [23/25], Train Loss: 2.2097, Val Loss: 2.5853, Train Acc: 0.9336, Val Acc: 0.7718
2026-07-12 04:44:15,231 - INFO - [Train Bayesian Models] Epoch [24/25], Train Loss: 2.2132, Val Loss: 2.7666, Train Acc: 0.9297, Val Acc: 0.5973
2026-07-12 04:44:15,490 - INFO - [Train Bayesian Models] Model saved at epoch 24
2026-07-12 04:44:35,079 - INFO - [Train Bayesian Models] Epoch [25/25], Train Loss: 2.2002, Val Loss: 2.5435, Train Acc: 0.9238, Val Acc: 0.7383
2026-07-12 04:44:36,068 - INFO - [Train Bayesian Models] Run 5/30 - Test Loss: 3.2021, Test Accuracy: 0.5876
2026-07-12 04:44:36,249 - INFO - [Train Bayesian Models] Model saved to outputs/exp1/bayesian_models/model_5.pt
2026-07-12 04:44:36,575 - INFO - [Train Bayesian Models] Training model 6/30 (seed 100047)...
2026-07-12 04:44:56,448 - INFO - [Train Bayesian Models] Epoch [1/25], Train Loss: 2.5791, Val Loss: 2.7600, Train Acc: 0.5723, Val Acc: 0.4966
2026-07-12 04:45:16,048 - INFO - [Train Bayesian Models] Epoch [2/25], Train Loss: 2.5763, Val Loss: 2.7844, Train Acc: 0.5527, Val Acc: 0.4631
2026-07-12 04:45:35,701 - INFO - [Train Bayesian Models] Epoch [3/25], Train Loss: 2.5600, Val Loss: 3.0138, Train Acc: 0.5820, Val Acc: 0.4295
2026-07-12 04:45:55,311 - INFO - [Train Bayesian Models] Epoch [4/25], Train Loss: 2.5418, Val Loss: 2.7949, Train Acc: 0.6348, Val Acc: 0.4966
2026-07-12 04:46:14,909 - INFO - [Train Bayesian Models] Epoch [5/25], Train Loss: 2.5258, Val Loss: 2.8398, Train Acc: 0.6738, Val Acc: 0.4631
2026-07-12 04:46:34,641 - INFO - [Train Bayesian Models] Epoch [6/25], Train Loss: 2.5234, Val Loss: 2.7287, Train Acc: 0.6660, Val Acc: 0.5705
2026-07-12 04:46:34,900 - INFO - [Train Bayesian Models] Model saved at epoch 6
2026-07-12 04:46:54,468 - INFO - [Train Bayesian Models] Epoch [7/25], Train Loss: 2.5035, Val Loss: 2.7844, Train Acc: 0.7148, Val Acc: 0.5906
2026-07-12 04:47:14,059 - INFO - [Train Bayesian Models] Epoch [8/25], Train Loss: 2.4789, Val Loss: 2.7874, Train Acc: 0.7559, Val Acc: 0.4966
2026-07-12 04:47:33,661 - INFO - [Train Bayesian Models] Epoch [9/25], Train Loss: 2.4644, Val Loss: 2.8857, Train Acc: 0.7578, Val Acc: 0.4497
2026-07-12 04:47:53,253 - INFO - [Train Bayesian Models] Epoch [10/25], Train Loss: 2.4688, Val Loss: 2.8830, Train Acc: 0.7578, Val Acc: 0.5101
2026-07-12 04:48:12,836 - INFO - [Train Bayesian Models] Epoch [11/25], Train Loss: 2.4420, Val Loss: 2.8652, Train Acc: 0.8047, Val Acc: 0.6107
2026-07-12 04:48:32,446 - INFO - [Train Bayesian Models] Epoch [12/25], Train Loss: 2.4316, Val Loss: 3.2253, Train Acc: 0.8203, Val Acc: 0.4765
2026-07-12 04:48:32,709 - INFO - [Train Bayesian Models] Model saved at epoch 12
2026-07-12 04:48:52,301 - INFO - [Train Bayesian Models] Epoch [13/25], Train Loss: 2.4059, Val Loss: 3.0327, Train Acc: 0.8340, Val Acc: 0.5302
2026-07-12 04:49:11,887 - INFO - [Train Bayesian Models] Epoch [14/25], Train Loss: 2.3995, Val Loss: 2.7729, Train Acc: 0.8555, Val Acc: 0.5302
2026-07-12 04:49:31,464 - INFO - [Train Bayesian Models] Epoch [15/25], Train Loss: 2.3896, Val Loss: 2.7811, Train Acc: 0.8555, Val Acc: 0.6040
2026-07-12 04:49:51,044 - INFO - [Train Bayesian Models] Epoch [16/25], Train Loss: 2.3606, Val Loss: 2.6697, Train Acc: 0.8672, Val Acc: 0.6174
2026-07-12 04:50:10,658 - INFO - [Train Bayesian Models] Epoch [17/25], Train Loss: 2.3583, Val Loss: 2.8588, Train Acc: 0.8633, Val Acc: 0.5168
2026-07-12 04:50:30,260 - INFO - [Train Bayesian Models] Epoch [18/25], Train Loss: 2.3271, Val Loss: 2.7608, Train Acc: 0.8828, Val Acc: 0.5503
2026-07-12 04:50:30,518 - INFO - [Train Bayesian Models] Model saved at epoch 18
2026-07-12 04:50:50,098 - INFO - [Train Bayesian Models] Epoch [19/25], Train Loss: 2.3064, Val Loss: 2.6302, Train Acc: 0.8633, Val Acc: 0.6779
2026-07-12 04:51:09,700 - INFO - [Train Bayesian Models] Epoch [20/25], Train Loss: 2.2974, Val Loss: 2.7043, Train Acc: 0.8965, Val Acc: 0.6242
2026-07-12 04:51:29,298 - INFO - [Train Bayesian Models] Epoch [21/25], Train Loss: 2.2794, Val Loss: 2.7847, Train Acc: 0.9238, Val Acc: 0.5570
2026-07-12 04:51:48,880 - INFO - [Train Bayesian Models] Epoch [22/25], Train Loss: 2.2701, Val Loss: 3.0361, Train Acc: 0.9141, Val Acc: 0.5772
2026-07-12 04:52:08,467 - INFO - [Train Bayesian Models] Epoch [23/25], Train Loss: 2.2599, Val Loss: 2.7363, Train Acc: 0.9023, Val Acc: 0.6376
2026-07-12 04:52:28,074 - INFO - [Train Bayesian Models] Epoch [24/25], Train Loss: 2.2356, Val Loss: 2.7930, Train Acc: 0.9219, Val Acc: 0.6309
2026-07-12 04:52:28,332 - INFO - [Train Bayesian Models] Model saved at epoch 24
2026-07-12 04:52:47,920 - INFO - [Train Bayesian Models] Epoch [25/25], Train Loss: 2.2154, Val Loss: 2.9747, Train Acc: 0.9062, Val Acc: 0.5973
2026-07-12 04:52:48,907 - INFO - [Train Bayesian Models] Run 6/30 - Test Loss: 3.1567, Test Accuracy: 0.6598
2026-07-12 04:52:49,088 - INFO - [Train Bayesian Models] Model saved to outputs/exp1/bayesian_models/model_6.pt
2026-07-12 04:52:49,416 - INFO - [Train Bayesian Models] Training model 7/30 (seed 100048)...
2026-07-12 04:53:09,311 - INFO - [Train Bayesian Models] Epoch [1/25], Train Loss: 2.6010, Val Loss: 2.7562, Train Acc: 0.5020, Val Acc: 0.5369
2026-07-12 04:53:28,885 - INFO - [Train Bayesian Models] Epoch [2/25], Train Loss: 2.5774, Val Loss: 3.1076, Train Acc: 0.5859, Val Acc: 0.5503
2026-07-12 04:53:48,474 - INFO - [Train Bayesian Models] Epoch [3/25], Train Loss: 2.5569, Val Loss: 2.7172, Train Acc: 0.6523, Val Acc: 0.6040
2026-07-12 04:54:08,059 - INFO - [Train Bayesian Models] Epoch [4/25], Train Loss: 2.5442, Val Loss: 2.7555, Train Acc: 0.6875, Val Acc: 0.5436
2026-07-12 04:54:27,655 - INFO - [Train Bayesian Models] Epoch [5/25], Train Loss: 2.5272, Val Loss: 2.7886, Train Acc: 0.6914, Val Acc: 0.5101
2026-07-12 04:54:47,248 - INFO - [Train Bayesian Models] Epoch [6/25], Train Loss: 2.5098, Val Loss: 3.0698, Train Acc: 0.7734, Val Acc: 0.4094
2026-07-12 04:54:47,510 - INFO - [Train Bayesian Models] Model saved at epoch 6
2026-07-12 04:55:07,105 - INFO - [Train Bayesian Models] Epoch [7/25], Train Loss: 2.4977, Val Loss: 2.7613, Train Acc: 0.7891, Val Acc: 0.5638
2026-07-12 04:55:26,692 - INFO - [Train Bayesian Models] Epoch [8/25], Train Loss: 2.4686, Val Loss: 2.7156, Train Acc: 0.8105, Val Acc: 0.6174
2026-07-12 04:55:46,296 - INFO - [Train Bayesian Models] Epoch [9/25], Train Loss: 2.4696, Val Loss: 2.8715, Train Acc: 0.8145, Val Acc: 0.5302
2026-07-12 04:56:05,894 - INFO - [Train Bayesian Models] Epoch [10/25], Train Loss: 2.4541, Val Loss: 2.7259, Train Acc: 0.8359, Val Acc: 0.6577
2026-07-12 04:56:25,492 - INFO - [Train Bayesian Models] Epoch [11/25], Train Loss: 2.4387, Val Loss: 2.8584, Train Acc: 0.8613, Val Acc: 0.6040
2026-07-12 04:56:45,080 - INFO - [Train Bayesian Models] Epoch [12/25], Train Loss: 2.4188, Val Loss: 2.6732, Train Acc: 0.8613, Val Acc: 0.5839
2026-07-12 04:56:45,341 - INFO - [Train Bayesian Models] Model saved at epoch 12
2026-07-12 04:57:04,931 - INFO - [Train Bayesian Models] Epoch [13/25], Train Loss: 2.4024, Val Loss: 3.1363, Train Acc: 0.8906, Val Acc: 0.5369
2026-07-12 04:57:24,516 - INFO - [Train Bayesian Models] Epoch [14/25], Train Loss: 2.3974, Val Loss: 2.9741, Train Acc: 0.8848, Val Acc: 0.6107
2026-07-12 04:57:44,104 - INFO - [Train Bayesian Models] Epoch [15/25], Train Loss: 2.3812, Val Loss: 2.8763, Train Acc: 0.8633, Val Acc: 0.5503
2026-07-12 04:58:03,708 - INFO - [Train Bayesian Models] Epoch [16/25], Train Loss: 2.3652, Val Loss: 2.8662, Train Acc: 0.9023, Val Acc: 0.5034
2026-07-12 04:58:23,315 - INFO - [Train Bayesian Models] Epoch [17/25], Train Loss: 2.3653, Val Loss: 2.7158, Train Acc: 0.8770, Val Acc: 0.6309
2026-07-12 04:58:42,928 - INFO - [Train Bayesian Models] Epoch [18/25], Train Loss: 2.3353, Val Loss: 2.7331, Train Acc: 0.8945, Val Acc: 0.5235
2026-07-12 04:58:43,197 - INFO - [Train Bayesian Models] Model saved at epoch 18
2026-07-12 04:59:02,775 - INFO - [Train Bayesian Models] Epoch [19/25], Train Loss: 2.3064, Val Loss: 2.7549, Train Acc: 0.9258, Val Acc: 0.6309
2026-07-12 04:59:22,367 - INFO - [Train Bayesian Models] Epoch [20/25], Train Loss: 2.3248, Val Loss: 2.5921, Train Acc: 0.8965, Val Acc: 0.7383
2026-07-12 04:59:41,972 - INFO - [Train Bayesian Models] Epoch [21/25], Train Loss: 2.2971, Val Loss: 2.6892, Train Acc: 0.9082, Val Acc: 0.6711
2026-07-12 05:00:01,580 - INFO - [Train Bayesian Models] Epoch [22/25], Train Loss: 2.2893, Val Loss: 2.6497, Train Acc: 0.9141, Val Acc: 0.6577
2026-07-12 05:00:21,171 - INFO - [Train Bayesian Models] Epoch [23/25], Train Loss: 2.2555, Val Loss: 3.0024, Train Acc: 0.9316, Val Acc: 0.5906
2026-07-12 05:00:40,779 - INFO - [Train Bayesian Models] Epoch [24/25], Train Loss: 2.2605, Val Loss: 2.6575, Train Acc: 0.9199, Val Acc: 0.7852
2026-07-12 05:00:41,041 - INFO - [Train Bayesian Models] Model saved at epoch 24
2026-07-12 05:01:00,642 - INFO - [Train Bayesian Models] Epoch [25/25], Train Loss: 2.2429, Val Loss: 2.6874, Train Acc: 0.9297, Val Acc: 0.6174
2026-07-12 05:01:01,631 - INFO - [Train Bayesian Models] Run 7/30 - Test Loss: 3.2129, Test Accuracy: 0.6082
2026-07-12 05:01:01,808 - INFO - [Train Bayesian Models] Model saved to outputs/exp1/bayesian_models/model_7.pt
2026-07-12 05:01:02,135 - INFO - [Train Bayesian Models] Training model 8/30 (seed 100049)...
2026-07-12 05:01:22,035 - INFO - [Train Bayesian Models] Epoch [1/25], Train Loss: 2.5799, Val Loss: 2.7862, Train Acc: 0.5801, Val Acc: 0.4430
2026-07-12 05:01:41,641 - INFO - [Train Bayesian Models] Epoch [2/25], Train Loss: 2.5671, Val Loss: 2.7802, Train Acc: 0.6016, Val Acc: 0.4966
2026-07-12 05:02:01,252 - INFO - [Train Bayesian Models] Epoch [3/25], Train Loss: 2.5516, Val Loss: 2.8101, Train Acc: 0.6348, Val Acc: 0.5101
2026-07-12 05:02:20,838 - INFO - [Train Bayesian Models] Epoch [4/25], Train Loss: 2.5351, Val Loss: 2.7978, Train Acc: 0.6602, Val Acc: 0.4765
2026-07-12 05:02:40,438 - INFO - [Train Bayesian Models] Epoch [5/25], Train Loss: 2.5237, Val Loss: 2.7822, Train Acc: 0.6895, Val Acc: 0.4966
2026-07-12 05:03:00,047 - INFO - [Train Bayesian Models] Epoch [6/25], Train Loss: 2.4897, Val Loss: 2.7541, Train Acc: 0.7598, Val Acc: 0.5973
2026-07-12 05:03:00,311 - INFO - [Train Bayesian Models] Model saved at epoch 6
2026-07-12 05:03:19,877 - INFO - [Train Bayesian Models] Epoch [7/25], Train Loss: 2.4715, Val Loss: 2.8063, Train Acc: 0.7988, Val Acc: 0.4564
2026-07-12 05:03:39,456 - INFO - [Train Bayesian Models] Epoch [8/25], Train Loss: 2.4607, Val Loss: 2.7292, Train Acc: 0.8047, Val Acc: 0.6174
2026-07-12 05:03:59,051 - INFO - [Train Bayesian Models] Epoch [9/25], Train Loss: 2.4554, Val Loss: 2.6816, Train Acc: 0.8301, Val Acc: 0.6174
2026-07-12 05:04:18,627 - INFO - [Train Bayesian Models] Epoch [10/25], Train Loss: 2.4278, Val Loss: 2.8093, Train Acc: 0.8027, Val Acc: 0.6174
2026-07-12 05:04:38,216 - INFO - [Train Bayesian Models] Epoch [11/25], Train Loss: 2.4320, Val Loss: 2.9190, Train Acc: 0.8594, Val Acc: 0.6309
2026-07-12 05:04:57,813 - INFO - [Train Bayesian Models] Epoch [12/25], Train Loss: 2.3935, Val Loss: 2.7070, Train Acc: 0.8711, Val Acc: 0.5973
2026-07-12 05:04:58,077 - INFO - [Train Bayesian Models] Model saved at epoch 12
2026-07-12 05:05:17,657 - INFO - [Train Bayesian Models] Epoch [13/25], Train Loss: 2.3820, Val Loss: 2.7710, Train Acc: 0.8652, Val Acc: 0.6510
2026-07-12 05:05:37,259 - INFO - [Train Bayesian Models] Epoch [14/25], Train Loss: 2.3805, Val Loss: 2.7503, Train Acc: 0.8496, Val Acc: 0.6107
2026-07-12 05:05:56,858 - INFO - [Train Bayesian Models] Epoch [15/25], Train Loss: 2.3626, Val Loss: 2.6797, Train Acc: 0.8809, Val Acc: 0.6711
2026-07-12 05:06:16,482 - INFO - [Train Bayesian Models] Epoch [16/25], Train Loss: 2.3425, Val Loss: 2.7861, Train Acc: 0.8887, Val Acc: 0.5101
2026-07-12 05:06:36,068 - INFO - [Train Bayesian Models] Epoch [17/25], Train Loss: 2.3249, Val Loss: 3.0801, Train Acc: 0.8965, Val Acc: 0.5302
2026-07-12 05:06:55,670 - INFO - [Train Bayesian Models] Epoch [18/25], Train Loss: 2.3148, Val Loss: 2.6623, Train Acc: 0.9062, Val Acc: 0.7181
2026-07-12 05:06:55,937 - INFO - [Train Bayesian Models] Model saved at epoch 18
2026-07-12 05:07:15,535 - INFO - [Train Bayesian Models] Epoch [19/25], Train Loss: 2.3031, Val Loss: 2.6054, Train Acc: 0.9141, Val Acc: 0.7919
2026-07-12 05:07:35,143 - INFO - [Train Bayesian Models] Epoch [20/25], Train Loss: 2.2895, Val Loss: 2.7918, Train Acc: 0.9219, Val Acc: 0.5839
2026-07-12 05:07:54,742 - INFO - [Train Bayesian Models] Epoch [21/25], Train Loss: 2.2771, Val Loss: 2.6228, Train Acc: 0.9180, Val Acc: 0.6779
2026-07-12 05:08:14,448 - INFO - [Train Bayesian Models] Epoch [22/25], Train Loss: 2.2699, Val Loss: 2.6157, Train Acc: 0.9219, Val Acc: 0.6577
2026-07-12 05:08:34,028 - INFO - [Train Bayesian Models] Epoch [23/25], Train Loss: 2.2602, Val Loss: 2.6043, Train Acc: 0.9199, Val Acc: 0.7383
2026-07-12 05:08:53,602 - INFO - [Train Bayesian Models] Epoch [24/25], Train Loss: 2.2504, Val Loss: 2.6027, Train Acc: 0.9219, Val Acc: 0.7114
2026-07-12 05:08:53,868 - INFO - [Train Bayesian Models] Model saved at epoch 24
2026-07-12 05:09:13,433 - INFO - [Train Bayesian Models] Epoch [25/25], Train Loss: 2.2224, Val Loss: 2.7289, Train Acc: 0.9258, Val Acc: 0.5638
2026-07-12 05:09:14,408 - INFO - [Train Bayesian Models] Run 8/30 - Test Loss: 3.1586, Test Accuracy: 0.5670
2026-07-12 05:09:14,589 - INFO - [Train Bayesian Models] Model saved to outputs/exp1/bayesian_models/model_8.pt
2026-07-12 05:09:14,916 - INFO - [Train Bayesian Models] Training model 9/30 (seed 100050)...
2026-07-12 05:09:34,813 - INFO - [Train Bayesian Models] Epoch [1/25], Train Loss: 2.5808, Val Loss: 2.7636, Train Acc: 0.5605, Val Acc: 0.5369
2026-07-12 05:09:54,391 - INFO - [Train Bayesian Models] Epoch [2/25], Train Loss: 2.5658, Val Loss: 2.8363, Train Acc: 0.6152, Val Acc: 0.4497
2026-07-12 05:10:13,998 - INFO - [Train Bayesian Models] Epoch [3/25], Train Loss: 2.5572, Val Loss: 2.7733, Train Acc: 0.5898, Val Acc: 0.4966
2026-07-12 05:10:33,588 - INFO - [Train Bayesian Models] Epoch [4/25], Train Loss: 2.5385, Val Loss: 2.9923, Train Acc: 0.6250, Val Acc: 0.4765
2026-07-12 05:10:53,196 - INFO - [Train Bayesian Models] Epoch [5/25], Train Loss: 2.5177, Val Loss: 2.8326, Train Acc: 0.6602, Val Acc: 0.4899
2026-07-12 05:11:12,778 - INFO - [Train Bayesian Models] Epoch [6/25], Train Loss: 2.5043, Val Loss: 2.7847, Train Acc: 0.7402, Val Acc: 0.6309
2026-07-12 05:11:13,044 - INFO - [Train Bayesian Models] Model saved at epoch 6
2026-07-12 05:11:32,621 - INFO - [Train Bayesian Models] Epoch [7/25], Train Loss: 2.5031, Val Loss: 2.9393, Train Acc: 0.6992, Val Acc: 0.4228
2026-07-12 05:11:52,216 - INFO - [Train Bayesian Models] Epoch [8/25], Train Loss: 2.4677, Val Loss: 2.7126, Train Acc: 0.7891, Val Acc: 0.5168
2026-07-12 05:12:11,820 - INFO - [Train Bayesian Models] Epoch [9/25], Train Loss: 2.4603, Val Loss: 2.8343, Train Acc: 0.7832, Val Acc: 0.5302
2026-07-12 05:12:31,410 - INFO - [Train Bayesian Models] Epoch [10/25], Train Loss: 2.4500, Val Loss: 2.8228, Train Acc: 0.7832, Val Acc: 0.4698
2026-07-12 05:12:51,021 - INFO - [Train Bayesian Models] Epoch [11/25], Train Loss: 2.4383, Val Loss: 2.8312, Train Acc: 0.7852, Val Acc: 0.5839
2026-07-12 05:13:10,642 - INFO - [Train Bayesian Models] Epoch [12/25], Train Loss: 2.3975, Val Loss: 2.6698, Train Acc: 0.8379, Val Acc: 0.5906
2026-07-12 05:13:10,903 - INFO - [Train Bayesian Models] Model saved at epoch 12
2026-07-12 05:13:30,495 - INFO - [Train Bayesian Models] Epoch [13/25], Train Loss: 2.4042, Val Loss: 2.6813, Train Acc: 0.8105, Val Acc: 0.5235
2026-07-12 05:13:50,093 - INFO - [Train Bayesian Models] Epoch [14/25], Train Loss: 2.3821, Val Loss: 2.7361, Train Acc: 0.8516, Val Acc: 0.5638
2026-07-12 05:14:09,713 - INFO - [Train Bayesian Models] Epoch [15/25], Train Loss: 2.3752, Val Loss: 2.6852, Train Acc: 0.8555, Val Acc: 0.5772
2026-07-12 05:14:29,297 - INFO - [Train Bayesian Models] Epoch [16/25], Train Loss: 2.3691, Val Loss: 2.6271, Train Acc: 0.8613, Val Acc: 0.7248
2026-07-12 05:14:48,925 - INFO - [Train Bayesian Models] Epoch [17/25], Train Loss: 2.3544, Val Loss: 2.7943, Train Acc: 0.8672, Val Acc: 0.5906
2026-07-12 05:15:08,531 - INFO - [Train Bayesian Models] Epoch [18/25], Train Loss: 2.3122, Val Loss: 2.9900, Train Acc: 0.8809, Val Acc: 0.5772
2026-07-12 05:15:08,799 - INFO - [Train Bayesian Models] Model saved at epoch 18
2026-07-12 05:15:28,398 - INFO - [Train Bayesian Models] Epoch [19/25], Train Loss: 2.3023, Val Loss: 2.7026, Train Acc: 0.9219, Val Acc: 0.6040
2026-07-12 05:15:48,000 - INFO - [Train Bayesian Models] Epoch [20/25], Train Loss: 2.2925, Val Loss: 2.6289, Train Acc: 0.8926, Val Acc: 0.6309
2026-07-12 05:16:07,615 - INFO - [Train Bayesian Models] Epoch [21/25], Train Loss: 2.2781, Val Loss: 2.8902, Train Acc: 0.8887, Val Acc: 0.5570
2026-07-12 05:16:27,218 - INFO - [Train Bayesian Models] Epoch [22/25], Train Loss: 2.2546, Val Loss: 2.6823, Train Acc: 0.9238, Val Acc: 0.6309
2026-07-12 05:16:46,800 - INFO - [Train Bayesian Models] Epoch [23/25], Train Loss: 2.2277, Val Loss: 2.9859, Train Acc: 0.9199, Val Acc: 0.5503
2026-07-12 05:17:06,390 - INFO - [Train Bayesian Models] Epoch [24/25], Train Loss: 2.2309, Val Loss: 2.7333, Train Acc: 0.9180, Val Acc: 0.5638
2026-07-12 05:17:06,651 - INFO - [Train Bayesian Models] Model saved at epoch 24
2026-07-12 05:17:26,221 - INFO - [Train Bayesian Models] Epoch [25/25], Train Loss: 2.2066, Val Loss: 2.7677, Train Acc: 0.9258, Val Acc: 0.5906
2026-07-12 05:17:27,202 - INFO - [Train Bayesian Models] Run 9/30 - Test Loss: 3.0941, Test Accuracy: 0.5464
2026-07-12 05:17:27,384 - INFO - [Train Bayesian Models] Model saved to outputs/exp1/bayesian_models/model_9.pt
2026-07-12 05:17:27,713 - INFO - [Train Bayesian Models] Training model 10/30 (seed 100051)...
2026-07-12 05:17:47,602 - INFO - [Train Bayesian Models] Epoch [1/25], Train Loss: 2.5976, Val Loss: 2.7687, Train Acc: 0.4980, Val Acc: 0.5436
2026-07-12 05:18:07,176 - INFO - [Train Bayesian Models] Epoch [2/25], Train Loss: 2.5877, Val Loss: 2.8172, Train Acc: 0.5469, Val Acc: 0.4631
2026-07-12 05:18:26,784 - INFO - [Train Bayesian Models] Epoch [3/25], Train Loss: 2.5754, Val Loss: 2.8109, Train Acc: 0.5625, Val Acc: 0.4362
2026-07-12 05:18:46,374 - INFO - [Train Bayesian Models] Epoch [4/25], Train Loss: 2.5450, Val Loss: 2.9100, Train Acc: 0.6172, Val Acc: 0.5369
2026-07-12 05:19:05,967 - INFO - [Train Bayesian Models] Epoch [5/25], Train Loss: 2.5317, Val Loss: 2.7729, Train Acc: 0.6719, Val Acc: 0.4966
2026-07-12 05:19:25,575 - INFO - [Train Bayesian Models] Epoch [6/25], Train Loss: 2.5308, Val Loss: 2.6960, Train Acc: 0.6738, Val Acc: 0.5839
2026-07-12 05:19:25,836 - INFO - [Train Bayesian Models] Model saved at epoch 6
2026-07-12 05:19:45,414 - INFO - [Train Bayesian Models] Epoch [7/25], Train Loss: 2.5162, Val Loss: 2.9570, Train Acc: 0.7168, Val Acc: 0.5302
2026-07-12 05:20:04,988 - INFO - [Train Bayesian Models] Epoch [8/25], Train Loss: 2.4924, Val Loss: 2.7169, Train Acc: 0.7559, Val Acc: 0.5302
2026-07-12 05:20:24,591 - INFO - [Train Bayesian Models] Epoch [9/25], Train Loss: 2.4744, Val Loss: 2.6890, Train Acc: 0.7754, Val Acc: 0.6443
2026-07-12 05:20:44,197 - INFO - [Train Bayesian Models] Epoch [10/25], Train Loss: 2.4716, Val Loss: 3.0881, Train Acc: 0.7812, Val Acc: 0.5034
2026-07-12 05:21:03,793 - INFO - [Train Bayesian Models] Epoch [11/25], Train Loss: 2.4602, Val Loss: 2.7512, Train Acc: 0.7773, Val Acc: 0.5906
2026-07-12 05:21:23,379 - INFO - [Train Bayesian Models] Epoch [12/25], Train Loss: 2.4339, Val Loss: 2.8948, Train Acc: 0.8457, Val Acc: 0.5101
2026-07-12 05:21:23,643 - INFO - [Train Bayesian Models] Model saved at epoch 12
2026-07-12 05:21:43,242 - INFO - [Train Bayesian Models] Epoch [13/25], Train Loss: 2.4261, Val Loss: 2.8687, Train Acc: 0.8223, Val Acc: 0.5302
2026-07-12 05:22:02,830 - INFO - [Train Bayesian Models] Epoch [14/25], Train Loss: 2.4016, Val Loss: 2.7561, Train Acc: 0.8691, Val Acc: 0.5168
2026-07-12 05:22:22,423 - INFO - [Train Bayesian Models] Epoch [15/25], Train Loss: 2.3832, Val Loss: 2.6788, Train Acc: 0.8711, Val Acc: 0.5973
2026-07-12 05:22:42,036 - INFO - [Train Bayesian Models] Epoch [16/25], Train Loss: 2.3683, Val Loss: 2.7077, Train Acc: 0.8809, Val Acc: 0.6443
2026-07-12 05:23:01,648 - INFO - [Train Bayesian Models] Epoch [17/25], Train Loss: 2.3745, Val Loss: 2.7599, Train Acc: 0.8848, Val Acc: 0.6107
2026-07-12 05:23:21,242 - INFO - [Train Bayesian Models] Epoch [18/25], Train Loss: 2.3479, Val Loss: 2.8931, Train Acc: 0.8965, Val Acc: 0.5839
2026-07-12 05:23:21,504 - INFO - [Train Bayesian Models] Model saved at epoch 18
2026-07-12 05:23:41,102 - INFO - [Train Bayesian Models] Epoch [19/25], Train Loss: 2.3120, Val Loss: 2.7457, Train Acc: 0.9199, Val Acc: 0.5369
2026-07-12 05:24:00,699 - INFO - [Train Bayesian Models] Epoch [20/25], Train Loss: 2.3157, Val Loss: 2.8031, Train Acc: 0.8926, Val Acc: 0.6040
2026-07-12 05:24:20,314 - INFO - [Train Bayesian Models] Epoch [21/25], Train Loss: 2.2881, Val Loss: 2.6692, Train Acc: 0.9199, Val Acc: 0.6577
2026-07-12 05:24:39,916 - INFO - [Train Bayesian Models] Epoch [22/25], Train Loss: 2.2823, Val Loss: 2.6134, Train Acc: 0.9316, Val Acc: 0.6577
2026-07-12 05:24:59,526 - INFO - [Train Bayesian Models] Epoch [23/25], Train Loss: 2.2533, Val Loss: 2.6785, Train Acc: 0.9238, Val Acc: 0.6107
2026-07-12 05:25:19,131 - INFO - [Train Bayesian Models] Epoch [24/25], Train Loss: 2.2606, Val Loss: 2.6124, Train Acc: 0.9375, Val Acc: 0.6779
2026-07-12 05:25:19,394 - INFO - [Train Bayesian Models] Model saved at epoch 24
2026-07-12 05:25:38,982 - INFO - [Train Bayesian Models] Epoch [25/25], Train Loss: 2.2193, Val Loss: 2.8803, Train Acc: 0.9336, Val Acc: 0.6040
2026-07-12 05:25:39,959 - INFO - [Train Bayesian Models] Run 10/30 - Test Loss: 2.9596, Test Accuracy: 0.7938
2026-07-12 05:25:40,140 - INFO - [Train Bayesian Models] Model saved to outputs/exp1/bayesian_models/model_10.pt
2026-07-12 05:25:40,471 - INFO - [Train Bayesian Models] Training model 11/30 (seed 100052)...
2026-07-12 05:26:00,367 - INFO - [Train Bayesian Models] Epoch [1/25], Train Loss: 2.5914, Val Loss: 2.8094, Train Acc: 0.5215, Val Acc: 0.5101
2026-07-12 05:26:19,970 - INFO - [Train Bayesian Models] Epoch [2/25], Train Loss: 2.5693, Val Loss: 2.8077, Train Acc: 0.6250, Val Acc: 0.5168
2026-07-12 05:26:39,591 - INFO - [Train Bayesian Models] Epoch [3/25], Train Loss: 2.5502, Val Loss: 2.7344, Train Acc: 0.6426, Val Acc: 0.5101
2026-07-12 05:26:59,207 - INFO - [Train Bayesian Models] Epoch [4/25], Train Loss: 2.5354, Val Loss: 2.9972, Train Acc: 0.6660, Val Acc: 0.5235
2026-07-12 05:27:18,808 - INFO - [Train Bayesian Models] Epoch [5/25], Train Loss: 2.5043, Val Loss: 2.8539, Train Acc: 0.7578, Val Acc: 0.4899
2026-07-12 05:27:38,417 - INFO - [Train Bayesian Models] Epoch [6/25], Train Loss: 2.5014, Val Loss: 2.7771, Train Acc: 0.7500, Val Acc: 0.5302
2026-07-12 05:27:38,682 - INFO - [Train Bayesian Models] Model saved at epoch 6
2026-07-12 05:27:58,265 - INFO - [Train Bayesian Models] Epoch [7/25], Train Loss: 2.4737, Val Loss: 2.8920, Train Acc: 0.8027, Val Acc: 0.5503
2026-07-12 05:28:17,865 - INFO - [Train Bayesian Models] Epoch [8/25], Train Loss: 2.4629, Val Loss: 2.8009, Train Acc: 0.7754, Val Acc: 0.6040
2026-07-12 05:28:37,451 - INFO - [Train Bayesian Models] Epoch [9/25], Train Loss: 2.4577, Val Loss: 3.1070, Train Acc: 0.8203, Val Acc: 0.5436
2026-07-12 05:28:57,027 - INFO - [Train Bayesian Models] Epoch [10/25], Train Loss: 2.4332, Val Loss: 2.7773, Train Acc: 0.8301, Val Acc: 0.5436
2026-07-12 05:29:16,619 - INFO - [Train Bayesian Models] Epoch [11/25], Train Loss: 2.4076, Val Loss: 3.2047, Train Acc: 0.8320, Val Acc: 0.5369
2026-07-12 05:29:36,234 - INFO - [Train Bayesian Models] Epoch [12/25], Train Loss: 2.4057, Val Loss: 2.9031, Train Acc: 0.8574, Val Acc: 0.5503
2026-07-12 05:29:36,498 - INFO - [Train Bayesian Models] Model saved at epoch 12
2026-07-12 05:29:56,106 - INFO - [Train Bayesian Models] Epoch [13/25], Train Loss: 2.3824, Val Loss: 2.8368, Train Acc: 0.8730, Val Acc: 0.5772
2026-07-12 05:30:15,721 - INFO - [Train Bayesian Models] Epoch [14/25], Train Loss: 2.3755, Val Loss: 2.6212, Train Acc: 0.8770, Val Acc: 0.7450
2026-07-12 05:30:35,324 - INFO - [Train Bayesian Models] Epoch [15/25], Train Loss: 2.3605, Val Loss: 3.0194, Train Acc: 0.8848, Val Acc: 0.5570
2026-07-12 05:30:54,934 - INFO - [Train Bayesian Models] Epoch [16/25], Train Loss: 2.3551, Val Loss: 2.7226, Train Acc: 0.8828, Val Acc: 0.6174
2026-07-12 05:31:14,547 - INFO - [Train Bayesian Models] Epoch [17/25], Train Loss: 2.3244, Val Loss: 2.9713, Train Acc: 0.8965, Val Acc: 0.4497
2026-07-12 05:31:34,160 - INFO - [Train Bayesian Models] Epoch [18/25], Train Loss: 2.2989, Val Loss: 2.8341, Train Acc: 0.8867, Val Acc: 0.6107
2026-07-12 05:31:34,424 - INFO - [Train Bayesian Models] Model saved at epoch 18
2026-07-12 05:31:54,007 - INFO - [Train Bayesian Models] Epoch [19/25], Train Loss: 2.2912, Val Loss: 2.8388, Train Acc: 0.9062, Val Acc: 0.5973
2026-07-12 05:32:13,647 - INFO - [Train Bayesian Models] Epoch [20/25], Train Loss: 2.2776, Val Loss: 2.7676, Train Acc: 0.9082, Val Acc: 0.5906
2026-07-12 05:32:33,250 - INFO - [Train Bayesian Models] Epoch [21/25], Train Loss: 2.2640, Val Loss: 2.9295, Train Acc: 0.9062, Val Acc: 0.5168
2026-07-12 05:32:52,868 - INFO - [Train Bayesian Models] Epoch [22/25], Train Loss: 2.2496, Val Loss: 2.6511, Train Acc: 0.9199, Val Acc: 0.6242
2026-07-12 05:33:12,630 - INFO - [Train Bayesian Models] Epoch [23/25], Train Loss: 2.2485, Val Loss: 3.0156, Train Acc: 0.9199, Val Acc: 0.6040
2026-07-12 05:33:32,237 - INFO - [Train Bayesian Models] Epoch [24/25], Train Loss: 2.2314, Val Loss: 2.7887, Train Acc: 0.9258, Val Acc: 0.5638
2026-07-12 05:33:32,498 - INFO - [Train Bayesian Models] Model saved at epoch 24
2026-07-12 05:33:52,075 - INFO - [Train Bayesian Models] Epoch [25/25], Train Loss: 2.2089, Val Loss: 2.8531, Train Acc: 0.9316, Val Acc: 0.5638
2026-07-12 05:33:53,069 - INFO - [Train Bayesian Models] Run 11/30 - Test Loss: 3.2353, Test Accuracy: 0.7423
2026-07-12 05:33:53,249 - INFO - [Train Bayesian Models] Model saved to outputs/exp1/bayesian_models/model_11.pt
2026-07-12 05:33:53,582 - INFO - [Train Bayesian Models] Training model 12/30 (seed 100053)...
2026-07-12 05:34:13,476 - INFO - [Train Bayesian Models] Epoch [1/25], Train Loss: 2.5916, Val Loss: 2.7564, Train Acc: 0.5352, Val Acc: 0.5235
2026-07-12 05:34:33,101 - INFO - [Train Bayesian Models] Epoch [2/25], Train Loss: 2.5935, Val Loss: 2.8230, Train Acc: 0.5352, Val Acc: 0.4362
2026-07-12 05:34:52,717 - INFO - [Train Bayesian Models] Epoch [3/25], Train Loss: 2.5679, Val Loss: 2.8128, Train Acc: 0.5625, Val Acc: 0.4094
2026-07-12 05:35:12,330 - INFO - [Train Bayesian Models] Epoch [4/25], Train Loss: 2.5508, Val Loss: 2.7350, Train Acc: 0.5957, Val Acc: 0.5705
2026-07-12 05:35:31,944 - INFO - [Train Bayesian Models] Epoch [5/25], Train Loss: 2.5411, Val Loss: 2.7866, Train Acc: 0.6211, Val Acc: 0.4228
2026-07-12 05:35:51,561 - INFO - [Train Bayesian Models] Epoch [6/25], Train Loss: 2.5273, Val Loss: 2.7453, Train Acc: 0.6230, Val Acc: 0.5436
2026-07-12 05:35:51,825 - INFO - [Train Bayesian Models] Model saved at epoch 6
2026-07-12 05:36:11,439 - INFO - [Train Bayesian Models] Epoch [7/25], Train Loss: 2.5254, Val Loss: 2.8049, Train Acc: 0.6348, Val Acc: 0.5235
2026-07-12 05:36:31,066 - INFO - [Train Bayesian Models] Epoch [8/25], Train Loss: 2.4929, Val Loss: 2.7568, Train Acc: 0.7090, Val Acc: 0.5839
2026-07-12 05:36:50,701 - INFO - [Train Bayesian Models] Epoch [9/25], Train Loss: 2.4781, Val Loss: 2.8123, Train Acc: 0.6992, Val Acc: 0.5570
2026-07-12 05:37:10,297 - INFO - [Train Bayesian Models] Epoch [10/25], Train Loss: 2.4825, Val Loss: 2.7472, Train Acc: 0.7090, Val Acc: 0.4966
2026-07-12 05:37:29,910 - INFO - [Train Bayesian Models] Epoch [11/25], Train Loss: 2.4567, Val Loss: 2.7321, Train Acc: 0.7520, Val Acc: 0.5436
2026-07-12 05:37:49,513 - INFO - [Train Bayesian Models] Epoch [12/25], Train Loss: 2.4374, Val Loss: 2.6807, Train Acc: 0.7715, Val Acc: 0.5369
2026-07-12 05:37:49,778 - INFO - [Train Bayesian Models] Model saved at epoch 12
2026-07-12 05:38:09,371 - INFO - [Train Bayesian Models] Epoch [13/25], Train Loss: 2.4363, Val Loss: 2.7902, Train Acc: 0.7500, Val Acc: 0.5503
2026-07-12 05:38:28,987 - INFO - [Train Bayesian Models] Epoch [14/25], Train Loss: 2.4091, Val Loss: 2.6598, Train Acc: 0.8027, Val Acc: 0.6443
2026-07-12 05:38:48,592 - INFO - [Train Bayesian Models] Epoch [15/25], Train Loss: 2.4222, Val Loss: 2.6757, Train Acc: 0.7910, Val Acc: 0.6577
2026-07-12 05:39:08,187 - INFO - [Train Bayesian Models] Epoch [16/25], Train Loss: 2.3876, Val Loss: 2.6969, Train Acc: 0.8594, Val Acc: 0.6376
2026-07-12 05:39:27,803 - INFO - [Train Bayesian Models] Epoch [17/25], Train Loss: 2.3794, Val Loss: 2.6324, Train Acc: 0.8203, Val Acc: 0.6577
2026-07-12 05:39:47,406 - INFO - [Train Bayesian Models] Epoch [18/25], Train Loss: 2.3674, Val Loss: 2.6532, Train Acc: 0.8457, Val Acc: 0.6577
2026-07-12 05:39:47,670 - INFO - [Train Bayesian Models] Model saved at epoch 18
2026-07-12 05:40:07,289 - INFO - [Train Bayesian Models] Epoch [19/25], Train Loss: 2.3338, Val Loss: 2.7060, Train Acc: 0.8750, Val Acc: 0.6376
2026-07-12 05:40:26,900 - INFO - [Train Bayesian Models] Epoch [20/25], Train Loss: 2.3191, Val Loss: 2.7403, Train Acc: 0.8848, Val Acc: 0.6711
2026-07-12 05:40:46,496 - INFO - [Train Bayesian Models] Epoch [21/25], Train Loss: 2.2950, Val Loss: 2.7617, Train Acc: 0.9043, Val Acc: 0.4966
2026-07-12 05:41:06,226 - INFO - [Train Bayesian Models] Epoch [22/25], Train Loss: 2.2866, Val Loss: 2.6480, Train Acc: 0.8984, Val Acc: 0.6174
2026-07-12 05:41:25,848 - INFO - [Train Bayesian Models] Epoch [23/25], Train Loss: 2.2592, Val Loss: 2.6109, Train Acc: 0.9102, Val Acc: 0.6107
2026-07-12 05:41:45,447 - INFO - [Train Bayesian Models] Epoch [24/25], Train Loss: 2.2568, Val Loss: 2.6166, Train Acc: 0.9062, Val Acc: 0.6980
2026-07-12 05:41:45,712 - INFO - [Train Bayesian Models] Model saved at epoch 24
2026-07-12 05:42:05,316 - INFO - [Train Bayesian Models] Epoch [25/25], Train Loss: 2.2365, Val Loss: 2.7778, Train Acc: 0.9160, Val Acc: 0.6443
2026-07-12 05:42:06,298 - INFO - [Train Bayesian Models] Run 12/30 - Test Loss: 3.0506, Test Accuracy: 0.7938
2026-07-12 05:42:06,475 - INFO - [Train Bayesian Models] Model saved to outputs/exp1/bayesian_models/model_12.pt
2026-07-12 05:42:06,807 - INFO - [Train Bayesian Models] Training model 13/30 (seed 100054)...
2026-07-12 05:42:26,713 - INFO - [Train Bayesian Models] Epoch [1/25], Train Loss: 2.5943, Val Loss: 2.8099, Train Acc: 0.5098, Val Acc: 0.4094
2026-07-12 05:42:46,328 - INFO - [Train Bayesian Models] Epoch [2/25], Train Loss: 2.5803, Val Loss: 2.7735, Train Acc: 0.5410, Val Acc: 0.5369
2026-07-12 05:43:05,931 - INFO - [Train Bayesian Models] Epoch [3/25], Train Loss: 2.5601, Val Loss: 2.9161, Train Acc: 0.6113, Val Acc: 0.4631
2026-07-12 05:43:25,546 - INFO - [Train Bayesian Models] Epoch [4/25], Train Loss: 2.5569, Val Loss: 2.8647, Train Acc: 0.5723, Val Acc: 0.4765
2026-07-12 05:43:45,155 - INFO - [Train Bayesian Models] Epoch [5/25], Train Loss: 2.5327, Val Loss: 2.7800, Train Acc: 0.6602, Val Acc: 0.5906
2026-07-12 05:44:04,766 - INFO - [Train Bayesian Models] Epoch [6/25], Train Loss: 2.5278, Val Loss: 3.0459, Train Acc: 0.6660, Val Acc: 0.4631
2026-07-12 05:44:05,037 - INFO - [Train Bayesian Models] Model saved at epoch 6
2026-07-12 05:44:24,653 - INFO - [Train Bayesian Models] Epoch [7/25], Train Loss: 2.5164, Val Loss: 2.7699, Train Acc: 0.6953, Val Acc: 0.5101
2026-07-12 05:44:44,252 - INFO - [Train Bayesian Models] Epoch [8/25], Train Loss: 2.4863, Val Loss: 2.7735, Train Acc: 0.7598, Val Acc: 0.4295
2026-07-12 05:45:03,852 - INFO - [Train Bayesian Models] Epoch [9/25], Train Loss: 2.4823, Val Loss: 3.1125, Train Acc: 0.7676, Val Acc: 0.5034
2026-07-12 05:45:23,470 - INFO - [Train Bayesian Models] Epoch [10/25], Train Loss: 2.4666, Val Loss: 2.9123, Train Acc: 0.7812, Val Acc: 0.4698
2026-07-12 05:45:43,100 - INFO - [Train Bayesian Models] Epoch [11/25], Train Loss: 2.4598, Val Loss: 2.6447, Train Acc: 0.8262, Val Acc: 0.6309
2026-07-12 05:46:02,722 - INFO - [Train Bayesian Models] Epoch [12/25], Train Loss: 2.4391, Val Loss: 2.7311, Train Acc: 0.8105, Val Acc: 0.6040
2026-07-12 05:46:02,984 - INFO - [Train Bayesian Models] Model saved at epoch 12
2026-07-12 05:46:22,595 - INFO - [Train Bayesian Models] Epoch [13/25], Train Loss: 2.4145, Val Loss: 2.6575, Train Acc: 0.8457, Val Acc: 0.6174
2026-07-12 05:46:42,205 - INFO - [Train Bayesian Models] Epoch [14/25], Train Loss: 2.4143, Val Loss: 2.8065, Train Acc: 0.8496, Val Acc: 0.5503
2026-07-12 05:47:01,838 - INFO - [Train Bayesian Models] Epoch [15/25], Train Loss: 2.3769, Val Loss: 2.8485, Train Acc: 0.8809, Val Acc: 0.5906
2026-07-12 05:47:21,447 - INFO - [Train Bayesian Models] Epoch [16/25], Train Loss: 2.3784, Val Loss: 2.6828, Train Acc: 0.8691, Val Acc: 0.6913
2026-07-12 05:47:41,054 - INFO - [Train Bayesian Models] Epoch [17/25], Train Loss: 2.3583, Val Loss: 2.6937, Train Acc: 0.8984, Val Acc: 0.5973
2026-07-12 05:48:00,695 - INFO - [Train Bayesian Models] Epoch [18/25], Train Loss: 2.3386, Val Loss: 2.6702, Train Acc: 0.9004, Val Acc: 0.6577
2026-07-12 05:48:00,961 - INFO - [Train Bayesian Models] Model saved at epoch 18
2026-07-12 05:48:20,566 - INFO - [Train Bayesian Models] Epoch [19/25], Train Loss: 2.3430, Val Loss: 2.6508, Train Acc: 0.8965, Val Acc: 0.6644
2026-07-12 05:48:40,180 - INFO - [Train Bayesian Models] Epoch [20/25], Train Loss: 2.3299, Val Loss: 2.7369, Train Acc: 0.8887, Val Acc: 0.6107
2026-07-12 05:48:59,791 - INFO - [Train Bayesian Models] Epoch [21/25], Train Loss: 2.2963, Val Loss: 2.8243, Train Acc: 0.9141, Val Acc: 0.5839
2026-07-12 05:49:19,532 - INFO - [Train Bayesian Models] Epoch [22/25], Train Loss: 2.2941, Val Loss: 2.9369, Train Acc: 0.9160, Val Acc: 0.5973
2026-07-12 05:49:39,159 - INFO - [Train Bayesian Models] Epoch [23/25], Train Loss: 2.2658, Val Loss: 2.9962, Train Acc: 0.9336, Val Acc: 0.5235
2026-07-12 05:49:58,784 - INFO - [Train Bayesian Models] Epoch [24/25], Train Loss: 2.2595, Val Loss: 2.7332, Train Acc: 0.9414, Val Acc: 0.5705
2026-07-12 05:49:59,049 - INFO - [Train Bayesian Models] Model saved at epoch 24
2026-07-12 05:50:18,635 - INFO - [Train Bayesian Models] Epoch [25/25], Train Loss: 2.2403, Val Loss: 2.6643, Train Acc: 0.9297, Val Acc: 0.6376
2026-07-12 05:50:19,613 - INFO - [Train Bayesian Models] Run 13/30 - Test Loss: 3.0085, Test Accuracy: 0.7835
2026-07-12 05:50:19,790 - INFO - [Train Bayesian Models] Model saved to outputs/exp1/bayesian_models/model_13.pt
2026-07-12 05:50:20,123 - INFO - [Train Bayesian Models] Training model 14/30 (seed 100055)...
2026-07-12 05:50:40,044 - INFO - [Train Bayesian Models] Epoch [1/25], Train Loss: 2.5987, Val Loss: 3.0209, Train Acc: 0.5098, Val Acc: 0.5369
2026-07-12 05:50:59,667 - INFO - [Train Bayesian Models] Epoch [2/25], Train Loss: 2.5648, Val Loss: 2.7445, Train Acc: 0.6016, Val Acc: 0.5705
2026-07-12 05:51:19,278 - INFO - [Train Bayesian Models] Epoch [3/25], Train Loss: 2.5456, Val Loss: 2.8368, Train Acc: 0.6523, Val Acc: 0.5839
2026-07-12 05:51:38,892 - INFO - [Train Bayesian Models] Epoch [4/25], Train Loss: 2.5355, Val Loss: 3.1530, Train Acc: 0.6816, Val Acc: 0.5168
2026-07-12 05:51:58,514 - INFO - [Train Bayesian Models] Epoch [5/25], Train Loss: 2.5293, Val Loss: 2.8302, Train Acc: 0.6934, Val Acc: 0.5436
2026-07-12 05:52:18,133 - INFO - [Train Bayesian Models] Epoch [6/25], Train Loss: 2.5152, Val Loss: 3.2127, Train Acc: 0.7227, Val Acc: 0.5369
2026-07-12 05:52:18,398 - INFO - [Train Bayesian Models] Model saved at epoch 6
2026-07-12 05:52:38,013 - INFO - [Train Bayesian Models] Epoch [7/25], Train Loss: 2.4796, Val Loss: 2.8958, Train Acc: 0.7656, Val Acc: 0.5570
2026-07-12 05:52:57,639 - INFO - [Train Bayesian Models] Epoch [8/25], Train Loss: 2.4855, Val Loss: 2.9472, Train Acc: 0.7812, Val Acc: 0.5906
2026-07-12 05:53:17,263 - INFO - [Train Bayesian Models] Epoch [9/25], Train Loss: 2.4573, Val Loss: 2.7178, Train Acc: 0.8086, Val Acc: 0.5772
2026-07-12 05:53:36,875 - INFO - [Train Bayesian Models] Epoch [10/25], Train Loss: 2.4506, Val Loss: 3.2935, Train Acc: 0.8184, Val Acc: 0.5302
2026-07-12 05:53:56,483 - INFO - [Train Bayesian Models] Epoch [11/25], Train Loss: 2.4378, Val Loss: 3.7085, Train Acc: 0.8125, Val Acc: 0.5369
2026-07-12 05:54:16,098 - INFO - [Train Bayesian Models] Epoch [12/25], Train Loss: 2.4148, Val Loss: 3.6145, Train Acc: 0.8457, Val Acc: 0.5369
2026-07-12 05:54:16,362 - INFO - [Train Bayesian Models] Model saved at epoch 12
2026-07-12 05:54:35,965 - INFO - [Train Bayesian Models] Epoch [13/25], Train Loss: 2.4005, Val Loss: 2.9638, Train Acc: 0.8574, Val Acc: 0.5638
2026-07-12 05:54:55,581 - INFO - [Train Bayesian Models] Epoch [14/25], Train Loss: 2.4043, Val Loss: 2.8224, Train Acc: 0.8516, Val Acc: 0.6107
2026-07-12 05:55:15,207 - INFO - [Train Bayesian Models] Epoch [15/25], Train Loss: 2.3755, Val Loss: 2.7611, Train Acc: 0.8574, Val Acc: 0.6443
2026-07-12 05:55:34,820 - INFO - [Train Bayesian Models] Epoch [16/25], Train Loss: 2.3543, Val Loss: 2.9223, Train Acc: 0.8887, Val Acc: 0.6443
2026-07-12 05:55:54,440 - INFO - [Train Bayesian Models] Epoch [17/25], Train Loss: 2.3320, Val Loss: 2.8874, Train Acc: 0.9004, Val Acc: 0.5369
2026-07-12 05:56:14,048 - INFO - [Train Bayesian Models] Epoch [18/25], Train Loss: 2.3073, Val Loss: 3.1395, Train Acc: 0.9160, Val Acc: 0.5503
2026-07-12 05:56:14,315 - INFO - [Train Bayesian Models] Model saved at epoch 18
2026-07-12 05:56:33,934 - INFO - [Train Bayesian Models] Epoch [19/25], Train Loss: 2.3103, Val Loss: 2.8825, Train Acc: 0.9180, Val Acc: 0.6107
2026-07-12 05:56:53,547 - INFO - [Train Bayesian Models] Epoch [20/25], Train Loss: 2.2977, Val Loss: 2.8855, Train Acc: 0.8906, Val Acc: 0.5436
2026-07-12 05:57:13,158 - INFO - [Train Bayesian Models] Epoch [21/25], Train Loss: 2.2860, Val Loss: 3.5565, Train Acc: 0.9062, Val Acc: 0.5436
2026-07-12 05:57:32,758 - INFO - [Train Bayesian Models] Epoch [22/25], Train Loss: 2.2746, Val Loss: 2.9839, Train Acc: 0.9277, Val Acc: 0.5839
2026-07-12 05:57:52,371 - INFO - [Train Bayesian Models] Epoch [23/25], Train Loss: 2.2494, Val Loss: 2.7939, Train Acc: 0.9219, Val Acc: 0.6242
2026-07-12 05:58:12,005 - INFO - [Train Bayesian Models] Epoch [24/25], Train Loss: 2.2330, Val Loss: 3.1345, Train Acc: 0.9297, Val Acc: 0.6174
2026-07-12 05:58:12,267 - INFO - [Train Bayesian Models] Model saved at epoch 24
2026-07-12 05:58:31,879 - INFO - [Train Bayesian Models] Epoch [25/25], Train Loss: 2.2260, Val Loss: 2.7161, Train Acc: 0.9492, Val Acc: 0.6107
2026-07-12 05:58:32,855 - INFO - [Train Bayesian Models] Run 14/30 - Test Loss: 3.0189, Test Accuracy: 0.7320
2026-07-12 05:58:33,035 - INFO - [Train Bayesian Models] Model saved to outputs/exp1/bayesian_models/model_14.pt
2026-07-12 05:58:33,368 - INFO - [Train Bayesian Models] Training model 15/30 (seed 100056)...
2026-07-12 05:58:53,312 - INFO - [Train Bayesian Models] Epoch [1/25], Train Loss: 2.5912, Val Loss: 2.7590, Train Acc: 0.5234, Val Acc: 0.5034
2026-07-12 05:59:12,955 - INFO - [Train Bayesian Models] Epoch [2/25], Train Loss: 2.5812, Val Loss: 2.7736, Train Acc: 0.5469, Val Acc: 0.5235
2026-07-12 05:59:32,604 - INFO - [Train Bayesian Models] Epoch [3/25], Train Loss: 2.5683, Val Loss: 2.8266, Train Acc: 0.5840, Val Acc: 0.5705
2026-07-12 05:59:52,252 - INFO - [Train Bayesian Models] Epoch [4/25], Train Loss: 2.5538, Val Loss: 2.7375, Train Acc: 0.6152, Val Acc: 0.5034
2026-07-12 06:00:11,869 - INFO - [Train Bayesian Models] Epoch [5/25], Train Loss: 2.5495, Val Loss: 2.8336, Train Acc: 0.6387, Val Acc: 0.5436
2026-07-12 06:00:31,503 - INFO - [Train Bayesian Models] Epoch [6/25], Train Loss: 2.5303, Val Loss: 3.0068, Train Acc: 0.6777, Val Acc: 0.5570
2026-07-12 06:00:31,775 - INFO - [Train Bayesian Models] Model saved at epoch 6
2026-07-12 06:00:51,381 - INFO - [Train Bayesian Models] Epoch [7/25], Train Loss: 2.5101, Val Loss: 2.8009, Train Acc: 0.7344, Val Acc: 0.5101
2026-07-12 06:01:10,989 - INFO - [Train Bayesian Models] Epoch [8/25], Train Loss: 2.4993, Val Loss: 2.7315, Train Acc: 0.7832, Val Acc: 0.5705
2026-07-12 06:01:30,607 - INFO - [Train Bayesian Models] Epoch [9/25], Train Loss: 2.4629, Val Loss: 2.8206, Train Acc: 0.7988, Val Acc: 0.4966
2026-07-12 06:01:50,229 - INFO - [Train Bayesian Models] Epoch [10/25], Train Loss: 2.4685, Val Loss: 3.0592, Train Acc: 0.8262, Val Acc: 0.4899
2026-07-12 06:02:09,861 - INFO - [Train Bayesian Models] Epoch [11/25], Train Loss: 2.4628, Val Loss: 2.9610, Train Acc: 0.7832, Val Acc: 0.5839
2026-07-12 06:02:29,470 - INFO - [Train Bayesian Models] Epoch [12/25], Train Loss: 2.4572, Val Loss: 2.8344, Train Acc: 0.7891, Val Acc: 0.4966
2026-07-12 06:02:29,731 - INFO - [Train Bayesian Models] Model saved at epoch 12
2026-07-12 06:02:49,345 - INFO - [Train Bayesian Models] Epoch [13/25], Train Loss: 2.4119, Val Loss: 2.7510, Train Acc: 0.8398, Val Acc: 0.5705
2026-07-12 06:03:08,955 - INFO - [Train Bayesian Models] Epoch [14/25], Train Loss: 2.4249, Val Loss: 2.7927, Train Acc: 0.8203, Val Acc: 0.5101
2026-07-12 06:03:28,588 - INFO - [Train Bayesian Models] Epoch [15/25], Train Loss: 2.3930, Val Loss: 2.7175, Train Acc: 0.8672, Val Acc: 0.5436
2026-07-12 06:03:48,217 - INFO - [Train Bayesian Models] Epoch [16/25], Train Loss: 2.3674, Val Loss: 2.8946, Train Acc: 0.8828, Val Acc: 0.5168
2026-07-12 06:04:07,843 - INFO - [Train Bayesian Models] Epoch [17/25], Train Loss: 2.3668, Val Loss: 2.7738, Train Acc: 0.8828, Val Acc: 0.5973
2026-07-12 06:04:27,465 - INFO - [Train Bayesian Models] Epoch [18/25], Train Loss: 2.3566, Val Loss: 2.6995, Train Acc: 0.8750, Val Acc: 0.6577
2026-07-12 06:04:27,731 - INFO - [Train Bayesian Models] Model saved at epoch 18
2026-07-12 06:04:47,342 - INFO - [Train Bayesian Models] Epoch [19/25], Train Loss: 2.3128, Val Loss: 2.7309, Train Acc: 0.9141, Val Acc: 0.5906
2026-07-12 06:05:06,985 - INFO - [Train Bayesian Models] Epoch [20/25], Train Loss: 2.3115, Val Loss: 2.6282, Train Acc: 0.8848, Val Acc: 0.7047
2026-07-12 06:05:26,605 - INFO - [Train Bayesian Models] Epoch [21/25], Train Loss: 2.2877, Val Loss: 2.7931, Train Acc: 0.9004, Val Acc: 0.5101
2026-07-12 06:05:46,240 - INFO - [Train Bayesian Models] Epoch [22/25], Train Loss: 2.2621, Val Loss: 2.7864, Train Acc: 0.9258, Val Acc: 0.6779
2026-07-12 06:06:05,871 - INFO - [Train Bayesian Models] Epoch [23/25], Train Loss: 2.2504, Val Loss: 2.6655, Train Acc: 0.9277, Val Acc: 0.6376
2026-07-12 06:06:25,502 - INFO - [Train Bayesian Models] Epoch [24/25], Train Loss: 2.2409, Val Loss: 2.8096, Train Acc: 0.9258, Val Acc: 0.6577
2026-07-12 06:06:25,769 - INFO - [Train Bayesian Models] Model saved at epoch 24
2026-07-12 06:06:45,384 - INFO - [Train Bayesian Models] Epoch [25/25], Train Loss: 2.2234, Val Loss: 2.6679, Train Acc: 0.9297, Val Acc: 0.6510
2026-07-12 06:06:46,363 - INFO - [Train Bayesian Models] Run 15/30 - Test Loss: 3.1009, Test Accuracy: 0.7629
2026-07-12 06:06:46,542 - INFO - [Train Bayesian Models] Model saved to outputs/exp1/bayesian_models/model_15.pt
2026-07-12 06:06:46,878 - INFO - [Train Bayesian Models] Training model 16/30 (seed 100057)...
2026-07-12 06:07:06,786 - INFO - [Train Bayesian Models] Epoch [1/25], Train Loss: 2.6000, Val Loss: 2.9336, Train Acc: 0.5293, Val Acc: 0.5101
2026-07-12 06:07:26,412 - INFO - [Train Bayesian Models] Epoch [2/25], Train Loss: 2.5787, Val Loss: 2.9707, Train Acc: 0.5547, Val Acc: 0.4631
2026-07-12 06:07:46,036 - INFO - [Train Bayesian Models] Epoch [3/25], Train Loss: 2.5592, Val Loss: 3.0415, Train Acc: 0.5898, Val Acc: 0.4094
2026-07-12 06:08:05,657 - INFO - [Train Bayesian Models] Epoch [4/25], Train Loss: 2.5408, Val Loss: 2.9712, Train Acc: 0.6387, Val Acc: 0.5369
2026-07-12 06:08:25,286 - INFO - [Train Bayesian Models] Epoch [5/25], Train Loss: 2.5347, Val Loss: 2.8898, Train Acc: 0.6504, Val Acc: 0.4899
2026-07-12 06:08:44,907 - INFO - [Train Bayesian Models] Epoch [6/25], Train Loss: 2.5084, Val Loss: 3.0162, Train Acc: 0.7090, Val Acc: 0.4966
2026-07-12 06:08:45,167 - INFO - [Train Bayesian Models] Model saved at epoch 6
2026-07-12 06:09:04,787 - INFO - [Train Bayesian Models] Epoch [7/25], Train Loss: 2.4836, Val Loss: 2.7737, Train Acc: 0.7500, Val Acc: 0.4966
2026-07-12 06:09:24,419 - INFO - [Train Bayesian Models] Epoch [8/25], Train Loss: 2.4922, Val Loss: 3.1095, Train Acc: 0.7246, Val Acc: 0.5839
2026-07-12 06:09:44,052 - INFO - [Train Bayesian Models] Epoch [9/25], Train Loss: 2.4768, Val Loss: 2.8341, Train Acc: 0.7520, Val Acc: 0.5235
2026-07-12 06:10:03,687 - INFO - [Train Bayesian Models] Epoch [10/25], Train Loss: 2.4392, Val Loss: 2.8854, Train Acc: 0.7949, Val Acc: 0.6443
2026-07-12 06:10:23,322 - INFO - [Train Bayesian Models] Epoch [11/25], Train Loss: 2.4479, Val Loss: 2.7801, Train Acc: 0.7832, Val Acc: 0.6242
2026-07-12 06:10:42,959 - INFO - [Train Bayesian Models] Epoch [12/25], Train Loss: 2.4198, Val Loss: 3.2018, Train Acc: 0.8145, Val Acc: 0.5772
2026-07-12 06:10:43,223 - INFO - [Train Bayesian Models] Model saved at epoch 12
2026-07-12 06:11:02,866 - INFO - [Train Bayesian Models] Epoch [13/25], Train Loss: 2.4192, Val Loss: 3.4102, Train Acc: 0.8242, Val Acc: 0.5235
2026-07-12 06:11:22,487 - INFO - [Train Bayesian Models] Epoch [14/25], Train Loss: 2.3832, Val Loss: 2.8060, Train Acc: 0.8535, Val Acc: 0.6242
2026-07-12 06:11:42,120 - INFO - [Train Bayesian Models] Epoch [15/25], Train Loss: 2.3624, Val Loss: 2.7070, Train Acc: 0.8594, Val Acc: 0.5906
2026-07-12 06:12:01,747 - INFO - [Train Bayesian Models] Epoch [16/25], Train Loss: 2.3542, Val Loss: 2.6500, Train Acc: 0.8848, Val Acc: 0.5973
2026-07-12 06:12:21,388 - INFO - [Train Bayesian Models] Epoch [17/25], Train Loss: 2.3483, Val Loss: 2.8124, Train Acc: 0.8848, Val Acc: 0.4564
2026-07-12 06:12:41,028 - INFO - [Train Bayesian Models] Epoch [18/25], Train Loss: 2.3386, Val Loss: 2.8391, Train Acc: 0.8711, Val Acc: 0.6040
2026-07-12 06:12:41,298 - INFO - [Train Bayesian Models] Model saved at epoch 18
2026-07-12 06:13:00,923 - INFO - [Train Bayesian Models] Epoch [19/25], Train Loss: 2.3160, Val Loss: 2.7220, Train Acc: 0.8867, Val Acc: 0.6644
2026-07-12 06:13:20,549 - INFO - [Train Bayesian Models] Epoch [20/25], Train Loss: 2.2800, Val Loss: 2.7269, Train Acc: 0.9062, Val Acc: 0.5235
2026-07-12 06:13:40,175 - INFO - [Train Bayesian Models] Epoch [21/25], Train Loss: 2.3001, Val Loss: 2.7775, Train Acc: 0.8945, Val Acc: 0.5369
2026-07-12 06:13:59,801 - INFO - [Train Bayesian Models] Epoch [22/25], Train Loss: 2.2760, Val Loss: 2.6382, Train Acc: 0.9121, Val Acc: 0.6510
2026-07-12 06:14:19,421 - INFO - [Train Bayesian Models] Epoch [23/25], Train Loss: 2.2774, Val Loss: 2.9746, Train Acc: 0.9043, Val Acc: 0.5369
2026-07-12 06:14:39,042 - INFO - [Train Bayesian Models] Epoch [24/25], Train Loss: 2.2444, Val Loss: 2.7349, Train Acc: 0.9219, Val Acc: 0.5839
2026-07-12 06:14:39,305 - INFO - [Train Bayesian Models] Model saved at epoch 24
2026-07-12 06:14:58,914 - INFO - [Train Bayesian Models] Epoch [25/25], Train Loss: 2.2262, Val Loss: 2.6488, Train Acc: 0.9395, Val Acc: 0.5839
2026-07-12 06:14:59,896 - INFO - [Train Bayesian Models] Run 16/30 - Test Loss: 3.1777, Test Accuracy: 0.7732
2026-07-12 06:15:00,073 - INFO - [Train Bayesian Models] Model saved to outputs/exp1/bayesian_models/model_16.pt
2026-07-12 06:15:00,409 - INFO - [Train Bayesian Models] Training model 17/30 (seed 100058)...
2026-07-12 06:15:20,337 - INFO - [Train Bayesian Models] Epoch [1/25], Train Loss: 2.5940, Val Loss: 2.8206, Train Acc: 0.5547, Val Acc: 0.4698
2026-07-12 06:15:39,953 - INFO - [Train Bayesian Models] Epoch [2/25], Train Loss: 2.5629, Val Loss: 3.1120, Train Acc: 0.6211, Val Acc: 0.4094
2026-07-12 06:15:59,586 - INFO - [Train Bayesian Models] Epoch [3/25], Train Loss: 2.5488, Val Loss: 2.8573, Train Acc: 0.6465, Val Acc: 0.5034
2026-07-12 06:16:19,203 - INFO - [Train Bayesian Models] Epoch [4/25], Train Loss: 2.5291, Val Loss: 2.8877, Train Acc: 0.6738, Val Acc: 0.4899
2026-07-12 06:16:38,814 - INFO - [Train Bayesian Models] Epoch [5/25], Train Loss: 2.5029, Val Loss: 2.9735, Train Acc: 0.7324, Val Acc: 0.4698
2026-07-12 06:16:58,423 - INFO - [Train Bayesian Models] Epoch [6/25], Train Loss: 2.5024, Val Loss: 3.0578, Train Acc: 0.7520, Val Acc: 0.4631
2026-07-12 06:16:58,684 - INFO - [Train Bayesian Models] Model saved at epoch 6
2026-07-12 06:17:18,304 - INFO - [Train Bayesian Models] Epoch [7/25], Train Loss: 2.4819, Val Loss: 3.1110, Train Acc: 0.7715, Val Acc: 0.4765
2026-07-12 06:17:37,924 - INFO - [Train Bayesian Models] Epoch [8/25], Train Loss: 2.4460, Val Loss: 2.8343, Train Acc: 0.8125, Val Acc: 0.5168
2026-07-12 06:17:57,564 - INFO - [Train Bayesian Models] Epoch [9/25], Train Loss: 2.4278, Val Loss: 2.7941, Train Acc: 0.8340, Val Acc: 0.5101
2026-07-12 06:18:17,187 - INFO - [Train Bayesian Models] Epoch [10/25], Train Loss: 2.4051, Val Loss: 2.8277, Train Acc: 0.8398, Val Acc: 0.5906
2026-07-12 06:18:36,794 - INFO - [Train Bayesian Models] Epoch [11/25], Train Loss: 2.3980, Val Loss: 2.8068, Train Acc: 0.8516, Val Acc: 0.5973
2026-07-12 06:18:56,416 - INFO - [Train Bayesian Models] Epoch [12/25], Train Loss: 2.3902, Val Loss: 2.8071, Train Acc: 0.8496, Val Acc: 0.5034
2026-07-12 06:18:56,685 - INFO - [Train Bayesian Models] Model saved at epoch 12
2026-07-12 06:19:16,288 - INFO - [Train Bayesian Models] Epoch [13/25], Train Loss: 2.3682, Val Loss: 2.9100, Train Acc: 0.8652, Val Acc: 0.4832
2026-07-12 06:19:35,902 - INFO - [Train Bayesian Models] Epoch [14/25], Train Loss: 2.3754, Val Loss: 2.9580, Train Acc: 0.8594, Val Acc: 0.5369
2026-07-12 06:19:55,512 - INFO - [Train Bayesian Models] Epoch [15/25], Train Loss: 2.3306, Val Loss: 3.1884, Train Acc: 0.8926, Val Acc: 0.4765
2026-07-12 06:20:15,133 - INFO - [Train Bayesian Models] Epoch [16/25], Train Loss: 2.3113, Val Loss: 2.7394, Train Acc: 0.8984, Val Acc: 0.6577
2026-07-12 06:20:34,741 - INFO - [Train Bayesian Models] Epoch [17/25], Train Loss: 2.2897, Val Loss: 2.6208, Train Acc: 0.8926, Val Acc: 0.6779
2026-07-12 06:20:54,373 - INFO - [Train Bayesian Models] Epoch [18/25], Train Loss: 2.2954, Val Loss: 2.8704, Train Acc: 0.9121, Val Acc: 0.6107
2026-07-12 06:20:54,639 - INFO - [Train Bayesian Models] Model saved at epoch 18
2026-07-12 06:21:14,244 - INFO - [Train Bayesian Models] Epoch [19/25], Train Loss: 2.2548, Val Loss: 2.9538, Train Acc: 0.9238, Val Acc: 0.5436
2026-07-12 06:21:33,844 - INFO - [Train Bayesian Models] Epoch [20/25], Train Loss: 2.2499, Val Loss: 2.7762, Train Acc: 0.9219, Val Acc: 0.6242
2026-07-12 06:21:53,460 - INFO - [Train Bayesian Models] Epoch [21/25], Train Loss: 2.2297, Val Loss: 3.2633, Train Acc: 0.9219, Val Acc: 0.4966
2026-07-12 06:22:13,083 - INFO - [Train Bayesian Models] Epoch [22/25], Train Loss: 2.2166, Val Loss: 2.6453, Train Acc: 0.9238, Val Acc: 0.6174
2026-07-12 06:22:32,699 - INFO - [Train Bayesian Models] Epoch [23/25], Train Loss: 2.2022, Val Loss: 2.9618, Train Acc: 0.9258, Val Acc: 0.5638
2026-07-12 06:22:52,315 - INFO - [Train Bayesian Models] Epoch [24/25], Train Loss: 2.1727, Val Loss: 2.7861, Train Acc: 0.9492, Val Acc: 0.5302
2026-07-12 06:22:52,581 - INFO - [Train Bayesian Models] Model saved at epoch 24
2026-07-12 06:23:12,188 - INFO - [Train Bayesian Models] Epoch [25/25], Train Loss: 2.1680, Val Loss: 3.5122, Train Acc: 0.9297, Val Acc: 0.5168
2026-07-12 06:23:13,173 - INFO - [Train Bayesian Models] Run 17/30 - Test Loss: 3.0771, Test Accuracy: 0.7526
2026-07-12 06:23:13,354 - INFO - [Train Bayesian Models] Model saved to outputs/exp1/bayesian_models/model_17.pt
2026-07-12 06:23:13,689 - INFO - [Train Bayesian Models] Training model 18/30 (seed 100059)...
2026-07-12 06:23:33,582 - INFO - [Train Bayesian Models] Epoch [1/25], Train Loss: 2.5863, Val Loss: 2.8302, Train Acc: 0.5332, Val Acc: 0.5235
2026-07-12 06:23:53,184 - INFO - [Train Bayesian Models] Epoch [2/25], Train Loss: 2.5606, Val Loss: 2.7235, Train Acc: 0.5996, Val Acc: 0.6107
2026-07-12 06:24:12,787 - INFO - [Train Bayesian Models] Epoch [3/25], Train Loss: 2.5450, Val Loss: 3.0175, Train Acc: 0.6465, Val Acc: 0.5839
2026-07-12 06:24:32,410 - INFO - [Train Bayesian Models] Epoch [4/25], Train Loss: 2.5375, Val Loss: 3.0452, Train Acc: 0.6426, Val Acc: 0.4564
2026-07-12 06:24:52,020 - INFO - [Train Bayesian Models] Epoch [5/25], Train Loss: 2.5102, Val Loss: 3.1539, Train Acc: 0.6836, Val Acc: 0.4094
2026-07-12 06:25:11,632 - INFO - [Train Bayesian Models] Epoch [6/25], Train Loss: 2.5085, Val Loss: 2.8023, Train Acc: 0.7324, Val Acc: 0.5705
2026-07-12 06:25:11,897 - INFO - [Train Bayesian Models] Model saved at epoch 6
2026-07-12 06:25:31,505 - INFO - [Train Bayesian Models] Epoch [7/25], Train Loss: 2.4974, Val Loss: 2.6808, Train Acc: 0.7285, Val Acc: 0.6577
2026-07-12 06:25:51,115 - INFO - [Train Bayesian Models] Epoch [8/25], Train Loss: 2.4844, Val Loss: 3.3087, Train Acc: 0.7598, Val Acc: 0.4564
2026-07-12 06:26:10,720 - INFO - [Train Bayesian Models] Epoch [9/25], Train Loss: 2.4604, Val Loss: 2.9802, Train Acc: 0.7773, Val Acc: 0.5235
2026-07-12 06:26:30,330 - INFO - [Train Bayesian Models] Epoch [10/25], Train Loss: 2.4497, Val Loss: 3.0182, Train Acc: 0.7871, Val Acc: 0.5369
2026-07-12 06:26:49,942 - INFO - [Train Bayesian Models] Epoch [11/25], Train Loss: 2.4496, Val Loss: 3.0967, Train Acc: 0.7715, Val Acc: 0.5369
2026-07-12 06:27:09,550 - INFO - [Train Bayesian Models] Epoch [12/25], Train Loss: 2.4417, Val Loss: 2.9164, Train Acc: 0.7969, Val Acc: 0.4832
2026-07-12 06:27:09,816 - INFO - [Train Bayesian Models] Model saved at epoch 12
2026-07-12 06:27:29,436 - INFO - [Train Bayesian Models] Epoch [13/25], Train Loss: 2.4238, Val Loss: 3.1562, Train Acc: 0.8008, Val Acc: 0.5369
2026-07-12 06:27:49,057 - INFO - [Train Bayesian Models] Epoch [14/25], Train Loss: 2.3967, Val Loss: 2.9745, Train Acc: 0.8340, Val Acc: 0.5436
2026-07-12 06:28:08,670 - INFO - [Train Bayesian Models] Epoch [15/25], Train Loss: 2.4002, Val Loss: 3.0623, Train Acc: 0.8535, Val Acc: 0.5638
2026-07-12 06:28:28,303 - INFO - [Train Bayesian Models] Epoch [16/25], Train Loss: 2.3687, Val Loss: 2.9974, Train Acc: 0.8457, Val Acc: 0.5436
2026-07-12 06:28:47,899 - INFO - [Train Bayesian Models] Epoch [17/25], Train Loss: 2.3574, Val Loss: 2.9480, Train Acc: 0.8613, Val Acc: 0.4966
2026-07-12 06:29:07,520 - INFO - [Train Bayesian Models] Epoch [18/25], Train Loss: 2.3422, Val Loss: 2.9324, Train Acc: 0.8672, Val Acc: 0.6040
2026-07-12 06:29:07,783 - INFO - [Train Bayesian Models] Model saved at epoch 18
2026-07-12 06:29:27,371 - INFO - [Train Bayesian Models] Epoch [19/25], Train Loss: 2.3504, Val Loss: 2.7449, Train Acc: 0.8535, Val Acc: 0.6107
2026-07-12 06:29:46,959 - INFO - [Train Bayesian Models] Epoch [20/25], Train Loss: 2.3141, Val Loss: 2.9095, Train Acc: 0.8965, Val Acc: 0.5973
2026-07-12 06:30:06,542 - INFO - [Train Bayesian Models] Epoch [21/25], Train Loss: 2.2898, Val Loss: 3.3339, Train Acc: 0.9121, Val Acc: 0.5839
2026-07-12 06:30:26,173 - INFO - [Train Bayesian Models] Epoch [22/25], Train Loss: 2.2772, Val Loss: 3.2350, Train Acc: 0.9043, Val Acc: 0.6040
2026-07-12 06:30:45,779 - INFO - [Train Bayesian Models] Epoch [23/25], Train Loss: 2.2864, Val Loss: 3.2499, Train Acc: 0.9043, Val Acc: 0.5369
2026-07-12 06:31:05,385 - INFO - [Train Bayesian Models] Epoch [24/25], Train Loss: 2.2542, Val Loss: 3.2409, Train Acc: 0.9121, Val Acc: 0.5570
2026-07-12 06:31:05,650 - INFO - [Train Bayesian Models] Model saved at epoch 24
2026-07-12 06:31:25,235 - INFO - [Train Bayesian Models] Epoch [25/25], Train Loss: 2.2458, Val Loss: 3.0435, Train Acc: 0.9316, Val Acc: 0.6107
2026-07-12 06:31:26,216 - INFO - [Train Bayesian Models] Run 18/30 - Test Loss: 3.3294, Test Accuracy: 0.6289
2026-07-12 06:31:26,392 - INFO - [Train Bayesian Models] Model saved to outputs/exp1/bayesian_models/model_18.pt
2026-07-12 06:31:26,728 - INFO - [Train Bayesian Models] Training model 19/30 (seed 100060)...
2026-07-12 06:31:46,637 - INFO - [Train Bayesian Models] Epoch [1/25], Train Loss: 2.6074, Val Loss: 2.8301, Train Acc: 0.4785, Val Acc: 0.4564
2026-07-12 06:32:06,224 - INFO - [Train Bayesian Models] Epoch [2/25], Train Loss: 2.5880, Val Loss: 2.7657, Train Acc: 0.5488, Val Acc: 0.5101
2026-07-12 06:32:25,833 - INFO - [Train Bayesian Models] Epoch [3/25], Train Loss: 2.5604, Val Loss: 2.9541, Train Acc: 0.6230, Val Acc: 0.5906
2026-07-12 06:32:45,463 - INFO - [Train Bayesian Models] Epoch [4/25], Train Loss: 2.5584, Val Loss: 2.9003, Train Acc: 0.6191, Val Acc: 0.4228
2026-07-12 06:33:05,074 - INFO - [Train Bayesian Models] Epoch [5/25], Train Loss: 2.5272, Val Loss: 2.8442, Train Acc: 0.6914, Val Acc: 0.4899
2026-07-12 06:33:24,715 - INFO - [Train Bayesian Models] Epoch [6/25], Train Loss: 2.5247, Val Loss: 2.8225, Train Acc: 0.6855, Val Acc: 0.5168
2026-07-12 06:33:24,981 - INFO - [Train Bayesian Models] Model saved at epoch 6
2026-07-12 06:33:44,566 - INFO - [Train Bayesian Models] Epoch [7/25], Train Loss: 2.4920, Val Loss: 2.7687, Train Acc: 0.7461, Val Acc: 0.5302
2026-07-12 06:34:04,177 - INFO - [Train Bayesian Models] Epoch [8/25], Train Loss: 2.4781, Val Loss: 2.9484, Train Acc: 0.7930, Val Acc: 0.5570
2026-07-12 06:34:23,779 - INFO - [Train Bayesian Models] Epoch [9/25], Train Loss: 2.4572, Val Loss: 2.9383, Train Acc: 0.8164, Val Acc: 0.4899
2026-07-12 06:34:43,380 - INFO - [Train Bayesian Models] Epoch [10/25], Train Loss: 2.4452, Val Loss: 3.0572, Train Acc: 0.8027, Val Acc: 0.6309
2026-07-12 06:35:02,994 - INFO - [Train Bayesian Models] Epoch [11/25], Train Loss: 2.4372, Val Loss: 3.5839, Train Acc: 0.8066, Val Acc: 0.4966
2026-07-12 06:35:22,601 - INFO - [Train Bayesian Models] Epoch [12/25], Train Loss: 2.4265, Val Loss: 2.8921, Train Acc: 0.8320, Val Acc: 0.5302
2026-07-12 06:35:22,869 - INFO - [Train Bayesian Models] Model saved at epoch 12
2026-07-12 06:35:42,484 - INFO - [Train Bayesian Models] Epoch [13/25], Train Loss: 2.3822, Val Loss: 2.7964, Train Acc: 0.8789, Val Acc: 0.5503
2026-07-12 06:36:02,080 - INFO - [Train Bayesian Models] Epoch [14/25], Train Loss: 2.3758, Val Loss: 3.0149, Train Acc: 0.8691, Val Acc: 0.5570
2026-07-12 06:36:21,705 - INFO - [Train Bayesian Models] Epoch [15/25], Train Loss: 2.3697, Val Loss: 2.8505, Train Acc: 0.8594, Val Acc: 0.5101
2026-07-12 06:36:41,327 - INFO - [Train Bayesian Models] Epoch [16/25], Train Loss: 2.3399, Val Loss: 2.8639, Train Acc: 0.8887, Val Acc: 0.5369
2026-07-12 06:37:00,952 - INFO - [Train Bayesian Models] Epoch [17/25], Train Loss: 2.3306, Val Loss: 2.9683, Train Acc: 0.9102, Val Acc: 0.5906
2026-07-12 06:37:20,549 - INFO - [Train Bayesian Models] Epoch [18/25], Train Loss: 2.3180, Val Loss: 3.1233, Train Acc: 0.8965, Val Acc: 0.4698
2026-07-12 06:37:20,815 - INFO - [Train Bayesian Models] Model saved at epoch 18
2026-07-12 06:37:40,415 - INFO - [Train Bayesian Models] Epoch [19/25], Train Loss: 2.2961, Val Loss: 2.9249, Train Acc: 0.9121, Val Acc: 0.5436
2026-07-12 06:38:00,018 - INFO - [Train Bayesian Models] Epoch [20/25], Train Loss: 2.2835, Val Loss: 3.3347, Train Acc: 0.9199, Val Acc: 0.4765
2026-07-12 06:38:19,636 - INFO - [Train Bayesian Models] Epoch [21/25], Train Loss: 2.2608, Val Loss: 2.6974, Train Acc: 0.9297, Val Acc: 0.6779
2026-07-12 06:38:39,258 - INFO - [Train Bayesian Models] Epoch [22/25], Train Loss: 2.2667, Val Loss: 2.6853, Train Acc: 0.9082, Val Acc: 0.6107
2026-07-12 06:38:58,885 - INFO - [Train Bayesian Models] Epoch [23/25], Train Loss: 2.2554, Val Loss: 2.8243, Train Acc: 0.9121, Val Acc: 0.6510
2026-07-12 06:39:18,485 - INFO - [Train Bayesian Models] Epoch [24/25], Train Loss: 2.2379, Val Loss: 2.5979, Train Acc: 0.9258, Val Acc: 0.6711
2026-07-12 06:39:18,749 - INFO - [Train Bayesian Models] Model saved at epoch 24
2026-07-12 06:39:38,349 - INFO - [Train Bayesian Models] Epoch [25/25], Train Loss: 2.2432, Val Loss: 2.7940, Train Acc: 0.9238, Val Acc: 0.5436
2026-07-12 06:39:39,331 - INFO - [Train Bayesian Models] Run 19/30 - Test Loss: 4.0108, Test Accuracy: 0.3299
2026-07-12 06:39:39,508 - INFO - [Train Bayesian Models] Model saved to outputs/exp1/bayesian_models/model_19.pt
2026-07-12 06:39:39,845 - INFO - [Train Bayesian Models] Training model 20/30 (seed 100061)...
2026-07-12 06:39:59,764 - INFO - [Train Bayesian Models] Epoch [1/25], Train Loss: 2.5977, Val Loss: 2.7931, Train Acc: 0.5156, Val Acc: 0.5101
2026-07-12 06:40:19,389 - INFO - [Train Bayesian Models] Epoch [2/25], Train Loss: 2.5704, Val Loss: 2.7360, Train Acc: 0.5879, Val Acc: 0.5436
2026-07-12 06:40:39,009 - INFO - [Train Bayesian Models] Epoch [3/25], Train Loss: 2.5443, Val Loss: 2.9464, Train Acc: 0.6426, Val Acc: 0.4564
2026-07-12 06:40:58,622 - INFO - [Train Bayesian Models] Epoch [4/25], Train Loss: 2.5183, Val Loss: 2.7937, Train Acc: 0.6934, Val Acc: 0.5772
2026-07-12 06:41:18,254 - INFO - [Train Bayesian Models] Epoch [5/25], Train Loss: 2.5092, Val Loss: 2.9765, Train Acc: 0.7090, Val Acc: 0.5436
2026-07-12 06:41:37,900 - INFO - [Train Bayesian Models] Epoch [6/25], Train Loss: 2.4914, Val Loss: 2.8715, Train Acc: 0.7422, Val Acc: 0.5302
2026-07-12 06:41:38,164 - INFO - [Train Bayesian Models] Model saved at epoch 6
2026-07-12 06:41:57,785 - INFO - [Train Bayesian Models] Epoch [7/25], Train Loss: 2.4779, Val Loss: 2.7886, Train Acc: 0.7520, Val Acc: 0.6040
2026-07-12 06:42:17,413 - INFO - [Train Bayesian Models] Epoch [8/25], Train Loss: 2.4539, Val Loss: 2.8897, Train Acc: 0.7871, Val Acc: 0.5839
2026-07-12 06:42:37,043 - INFO - [Train Bayesian Models] Epoch [9/25], Train Loss: 2.4453, Val Loss: 2.7731, Train Acc: 0.8027, Val Acc: 0.6174
2026-07-12 06:42:56,680 - INFO - [Train Bayesian Models] Epoch [10/25], Train Loss: 2.4175, Val Loss: 2.9921, Train Acc: 0.8672, Val Acc: 0.6443
2026-07-12 06:43:16,318 - INFO - [Train Bayesian Models] Epoch [11/25], Train Loss: 2.4110, Val Loss: 2.8479, Train Acc: 0.8242, Val Acc: 0.5638
2026-07-12 06:43:35,938 - INFO - [Train Bayesian Models] Epoch [12/25], Train Loss: 2.4013, Val Loss: 2.6914, Train Acc: 0.8516, Val Acc: 0.6510
2026-07-12 06:43:36,206 - INFO - [Train Bayesian Models] Model saved at epoch 12
2026-07-12 06:43:55,783 - INFO - [Train Bayesian Models] Epoch [13/25], Train Loss: 2.3782, Val Loss: 2.8836, Train Acc: 0.8516, Val Acc: 0.4966
2026-07-12 06:44:15,400 - INFO - [Train Bayesian Models] Epoch [14/25], Train Loss: 2.3562, Val Loss: 2.7569, Train Acc: 0.8770, Val Acc: 0.5503
2026-07-12 06:44:35,034 - INFO - [Train Bayesian Models] Epoch [15/25], Train Loss: 2.3366, Val Loss: 2.8844, Train Acc: 0.8848, Val Acc: 0.5772
2026-07-12 06:44:54,654 - INFO - [Train Bayesian Models] Epoch [16/25], Train Loss: 2.3314, Val Loss: 2.8164, Train Acc: 0.8906, Val Acc: 0.5638
2026-07-12 06:45:14,290 - INFO - [Train Bayesian Models] Epoch [17/25], Train Loss: 2.2840, Val Loss: 2.9069, Train Acc: 0.9199, Val Acc: 0.4832
2026-07-12 06:45:33,903 - INFO - [Train Bayesian Models] Epoch [18/25], Train Loss: 2.3061, Val Loss: 2.8047, Train Acc: 0.8887, Val Acc: 0.5503
2026-07-12 06:45:34,169 - INFO - [Train Bayesian Models] Model saved at epoch 18
2026-07-12 06:45:53,765 - INFO - [Train Bayesian Models] Epoch [19/25], Train Loss: 2.3019, Val Loss: 3.1218, Train Acc: 0.9023, Val Acc: 0.5638
2026-07-12 06:46:13,383 - INFO - [Train Bayesian Models] Epoch [20/25], Train Loss: 2.2794, Val Loss: 2.6761, Train Acc: 0.8828, Val Acc: 0.5839
2026-07-12 06:46:33,003 - INFO - [Train Bayesian Models] Epoch [21/25], Train Loss: 2.2339, Val Loss: 3.0830, Train Acc: 0.9258, Val Acc: 0.6174
2026-07-12 06:46:52,637 - INFO - [Train Bayesian Models] Epoch [22/25], Train Loss: 2.2574, Val Loss: 2.6672, Train Acc: 0.9043, Val Acc: 0.6107
2026-07-12 06:47:12,288 - INFO - [Train Bayesian Models] Epoch [23/25], Train Loss: 2.2370, Val Loss: 2.8507, Train Acc: 0.9062, Val Acc: 0.7047
2026-07-12 06:47:32,043 - INFO - [Train Bayesian Models] Epoch [24/25], Train Loss: 2.1852, Val Loss: 2.9104, Train Acc: 0.9238, Val Acc: 0.6510
2026-07-12 06:47:32,310 - INFO - [Train Bayesian Models] Model saved at epoch 24
2026-07-12 06:47:51,905 - INFO - [Train Bayesian Models] Epoch [25/25], Train Loss: 2.1895, Val Loss: 2.5609, Train Acc: 0.9316, Val Acc: 0.7584
2026-07-12 06:47:52,889 - INFO - [Train Bayesian Models] Run 20/30 - Test Loss: 3.0302, Test Accuracy: 0.7216
2026-07-12 06:47:53,069 - INFO - [Train Bayesian Models] Model saved to outputs/exp1/bayesian_models/model_20.pt
2026-07-12 06:47:53,409 - INFO - [Train Bayesian Models] Training model 21/30 (seed 100062)...
2026-07-12 06:48:13,329 - INFO - [Train Bayesian Models] Epoch [1/25], Train Loss: 2.5786, Val Loss: 3.0088, Train Acc: 0.5898, Val Acc: 0.4631
2026-07-12 06:48:32,947 - INFO - [Train Bayesian Models] Epoch [2/25], Train Loss: 2.5663, Val Loss: 2.7450, Train Acc: 0.5703, Val Acc: 0.4631
2026-07-12 06:48:52,560 - INFO - [Train Bayesian Models] Epoch [3/25], Train Loss: 2.5564, Val Loss: 2.7704, Train Acc: 0.6387, Val Acc: 0.4832
2026-07-12 06:49:12,199 - INFO - [Train Bayesian Models] Epoch [4/25], Train Loss: 2.5384, Val Loss: 2.8126, Train Acc: 0.6914, Val Acc: 0.5369
2026-07-12 06:49:31,825 - INFO - [Train Bayesian Models] Epoch [5/25], Train Loss: 2.5267, Val Loss: 3.1410, Train Acc: 0.7109, Val Acc: 0.4497
2026-07-12 06:49:51,472 - INFO - [Train Bayesian Models] Epoch [6/25], Train Loss: 2.5129, Val Loss: 3.0328, Train Acc: 0.7422, Val Acc: 0.5570
2026-07-12 06:49:51,739 - INFO - [Train Bayesian Models] Model saved at epoch 6
2026-07-12 06:50:11,343 - INFO - [Train Bayesian Models] Epoch [7/25], Train Loss: 2.4958, Val Loss: 2.7485, Train Acc: 0.7461, Val Acc: 0.5772
2026-07-12 06:50:30,972 - INFO - [Train Bayesian Models] Epoch [8/25], Train Loss: 2.4953, Val Loss: 2.7811, Train Acc: 0.7617, Val Acc: 0.5369
2026-07-12 06:50:50,583 - INFO - [Train Bayesian Models] Epoch [9/25], Train Loss: 2.4671, Val Loss: 2.7342, Train Acc: 0.8320, Val Acc: 0.6242
2026-07-12 06:51:10,187 - INFO - [Train Bayesian Models] Epoch [10/25], Train Loss: 2.4679, Val Loss: 2.7548, Train Acc: 0.8145, Val Acc: 0.5101
2026-07-12 06:51:29,802 - INFO - [Train Bayesian Models] Epoch [11/25], Train Loss: 2.4609, Val Loss: 2.8446, Train Acc: 0.8223, Val Acc: 0.5705
2026-07-12 06:51:49,426 - INFO - [Train Bayesian Models] Epoch [12/25], Train Loss: 2.4439, Val Loss: 2.8148, Train Acc: 0.8340, Val Acc: 0.6376
2026-07-12 06:51:49,692 - INFO - [Train Bayesian Models] Model saved at epoch 12
2026-07-12 06:52:09,289 - INFO - [Train Bayesian Models] Epoch [13/25], Train Loss: 2.4013, Val Loss: 2.6999, Train Acc: 0.8867, Val Acc: 0.5906
2026-07-12 06:52:28,919 - INFO - [Train Bayesian Models] Epoch [14/25], Train Loss: 2.4063, Val Loss: 2.8770, Train Acc: 0.8652, Val Acc: 0.5168
2026-07-12 06:52:48,553 - INFO - [Train Bayesian Models] Epoch [15/25], Train Loss: 2.3868, Val Loss: 2.6796, Train Acc: 0.8594, Val Acc: 0.6309
2026-07-12 06:53:08,154 - INFO - [Train Bayesian Models] Epoch [16/25], Train Loss: 2.3765, Val Loss: 2.8684, Train Acc: 0.8730, Val Acc: 0.5369
2026-07-12 06:53:27,784 - INFO - [Train Bayesian Models] Epoch [17/25], Train Loss: 2.3572, Val Loss: 2.7456, Train Acc: 0.9102, Val Acc: 0.6376
2026-07-12 06:53:47,410 - INFO - [Train Bayesian Models] Epoch [18/25], Train Loss: 2.3644, Val Loss: 2.6667, Train Acc: 0.8848, Val Acc: 0.6040
2026-07-12 06:53:47,678 - INFO - [Train Bayesian Models] Model saved at epoch 18
2026-07-12 06:54:07,286 - INFO - [Train Bayesian Models] Epoch [19/25], Train Loss: 2.3372, Val Loss: 2.7520, Train Acc: 0.8848, Val Acc: 0.5973
2026-07-12 06:54:26,900 - INFO - [Train Bayesian Models] Epoch [20/25], Train Loss: 2.3084, Val Loss: 2.6760, Train Acc: 0.8984, Val Acc: 0.6309
2026-07-12 06:54:46,507 - INFO - [Train Bayesian Models] Epoch [21/25], Train Loss: 2.2869, Val Loss: 2.6944, Train Acc: 0.9004, Val Acc: 0.6309
2026-07-12 06:55:06,123 - INFO - [Train Bayesian Models] Epoch [22/25], Train Loss: 2.2703, Val Loss: 2.6797, Train Acc: 0.9258, Val Acc: 0.6174
2026-07-12 06:55:25,886 - INFO - [Train Bayesian Models] Epoch [23/25], Train Loss: 2.2689, Val Loss: 2.5905, Train Acc: 0.9160, Val Acc: 0.6711
2026-07-12 06:55:45,492 - INFO - [Train Bayesian Models] Epoch [24/25], Train Loss: 2.2459, Val Loss: 2.7090, Train Acc: 0.9277, Val Acc: 0.6040
2026-07-12 06:55:45,756 - INFO - [Train Bayesian Models] Model saved at epoch 24
2026-07-12 06:56:05,369 - INFO - [Train Bayesian Models] Epoch [25/25], Train Loss: 2.2330, Val Loss: 2.8157, Train Acc: 0.9336, Val Acc: 0.5638
2026-07-12 06:56:06,349 - INFO - [Train Bayesian Models] Run 21/30 - Test Loss: 3.0472, Test Accuracy: 0.6598
2026-07-12 06:56:06,526 - INFO - [Train Bayesian Models] Model saved to outputs/exp1/bayesian_models/model_21.pt
2026-07-12 06:56:06,865 - INFO - [Train Bayesian Models] Training model 22/30 (seed 100063)...
2026-07-12 06:56:26,778 - INFO - [Train Bayesian Models] Epoch [1/25], Train Loss: 2.6096, Val Loss: 2.9059, Train Acc: 0.4961, Val Acc: 0.4899
2026-07-12 06:56:46,386 - INFO - [Train Bayesian Models] Epoch [2/25], Train Loss: 2.5835, Val Loss: 2.9144, Train Acc: 0.5352, Val Acc: 0.5369
2026-07-12 06:57:06,003 - INFO - [Train Bayesian Models] Epoch [3/25], Train Loss: 2.5785, Val Loss: 2.8122, Train Acc: 0.5254, Val Acc: 0.5705
2026-07-12 06:57:25,598 - INFO - [Train Bayesian Models] Epoch [4/25], Train Loss: 2.5528, Val Loss: 2.8393, Train Acc: 0.5938, Val Acc: 0.6040
2026-07-12 06:57:45,202 - INFO - [Train Bayesian Models] Epoch [5/25], Train Loss: 2.5590, Val Loss: 2.9747, Train Acc: 0.5684, Val Acc: 0.6040
2026-07-12 06:58:04,819 - INFO - [Train Bayesian Models] Epoch [6/25], Train Loss: 2.5411, Val Loss: 2.9181, Train Acc: 0.6465, Val Acc: 0.5302
2026-07-12 06:58:05,086 - INFO - [Train Bayesian Models] Model saved at epoch 6
2026-07-12 06:58:24,667 - INFO - [Train Bayesian Models] Epoch [7/25], Train Loss: 2.5188, Val Loss: 2.9793, Train Acc: 0.6660, Val Acc: 0.5436
2026-07-12 06:58:44,263 - INFO - [Train Bayesian Models] Epoch [8/25], Train Loss: 2.5091, Val Loss: 2.7783, Train Acc: 0.6836, Val Acc: 0.5436
2026-07-12 06:59:03,870 - INFO - [Train Bayesian Models] Epoch [9/25], Train Loss: 2.4966, Val Loss: 2.9804, Train Acc: 0.7188, Val Acc: 0.5369
2026-07-12 06:59:23,483 - INFO - [Train Bayesian Models] Epoch [10/25], Train Loss: 2.4613, Val Loss: 3.1755, Train Acc: 0.7637, Val Acc: 0.5369
2026-07-12 06:59:43,092 - INFO - [Train Bayesian Models] Epoch [11/25], Train Loss: 2.4598, Val Loss: 2.9088, Train Acc: 0.7871, Val Acc: 0.5369
2026-07-12 07:00:02,724 - INFO - [Train Bayesian Models] Epoch [12/25], Train Loss: 2.4446, Val Loss: 2.6907, Train Acc: 0.7773, Val Acc: 0.6242
2026-07-12 07:00:02,994 - INFO - [Train Bayesian Models] Model saved at epoch 12
2026-07-12 07:00:22,576 - INFO - [Train Bayesian Models] Epoch [13/25], Train Loss: 2.4285, Val Loss: 3.0470, Train Acc: 0.8262, Val Acc: 0.5302
2026-07-12 07:00:42,184 - INFO - [Train Bayesian Models] Epoch [14/25], Train Loss: 2.4093, Val Loss: 2.9675, Train Acc: 0.8652, Val Acc: 0.5570
2026-07-12 07:01:01,803 - INFO - [Train Bayesian Models] Epoch [15/25], Train Loss: 2.4117, Val Loss: 2.8105, Train Acc: 0.8418, Val Acc: 0.5369
2026-07-12 07:01:21,436 - INFO - [Train Bayesian Models] Epoch [16/25], Train Loss: 2.3688, Val Loss: 2.7124, Train Acc: 0.8711, Val Acc: 0.5638
2026-07-12 07:01:41,045 - INFO - [Train Bayesian Models] Epoch [17/25], Train Loss: 2.3604, Val Loss: 2.7377, Train Acc: 0.8945, Val Acc: 0.5906
2026-07-12 07:02:00,647 - INFO - [Train Bayesian Models] Epoch [18/25], Train Loss: 2.3208, Val Loss: 3.1670, Train Acc: 0.8965, Val Acc: 0.5369
2026-07-12 07:02:00,913 - INFO - [Train Bayesian Models] Model saved at epoch 18
2026-07-12 07:02:20,518 - INFO - [Train Bayesian Models] Epoch [19/25], Train Loss: 2.3183, Val Loss: 2.9963, Train Acc: 0.9102, Val Acc: 0.5973
2026-07-12 07:02:40,145 - INFO - [Train Bayesian Models] Epoch [20/25], Train Loss: 2.3158, Val Loss: 3.4287, Train Acc: 0.8867, Val Acc: 0.5369
2026-07-12 07:02:59,760 - INFO - [Train Bayesian Models] Epoch [21/25], Train Loss: 2.2995, Val Loss: 3.3994, Train Acc: 0.9082, Val Acc: 0.6242
2026-07-12 07:03:19,357 - INFO - [Train Bayesian Models] Epoch [22/25], Train Loss: 2.2787, Val Loss: 3.0132, Train Acc: 0.9199, Val Acc: 0.5839
2026-07-12 07:03:38,975 - INFO - [Train Bayesian Models] Epoch [23/25], Train Loss: 2.2783, Val Loss: 3.1762, Train Acc: 0.9180, Val Acc: 0.5772
2026-07-12 07:03:58,586 - INFO - [Train Bayesian Models] Epoch [24/25], Train Loss: 2.2631, Val Loss: 2.7019, Train Acc: 0.9258, Val Acc: 0.6443
2026-07-12 07:03:58,850 - INFO - [Train Bayesian Models] Model saved at epoch 24
2026-07-12 07:04:18,464 - INFO - [Train Bayesian Models] Epoch [25/25], Train Loss: 2.2434, Val Loss: 2.8336, Train Acc: 0.9316, Val Acc: 0.6309
2026-07-12 07:04:19,449 - INFO - [Train Bayesian Models] Run 22/30 - Test Loss: 3.9994, Test Accuracy: 0.3918
2026-07-12 07:04:19,628 - INFO - [Train Bayesian Models] Model saved to outputs/exp1/bayesian_models/model_22.pt
2026-07-12 07:04:19,968 - INFO - [Train Bayesian Models] Training model 23/30 (seed 100064)...
2026-07-12 07:04:39,870 - INFO - [Train Bayesian Models] Epoch [1/25], Train Loss: 2.6058, Val Loss: 2.7894, Train Acc: 0.4902, Val Acc: 0.5168
2026-07-12 07:04:59,468 - INFO - [Train Bayesian Models] Epoch [2/25], Train Loss: 2.5953, Val Loss: 2.7343, Train Acc: 0.5215, Val Acc: 0.5168
2026-07-12 07:05:19,084 - INFO - [Train Bayesian Models] Epoch [3/25], Train Loss: 2.5679, Val Loss: 2.8735, Train Acc: 0.6191, Val Acc: 0.5168
2026-07-12 07:05:38,723 - INFO - [Train Bayesian Models] Epoch [4/25], Train Loss: 2.5583, Val Loss: 2.8468, Train Acc: 0.6504, Val Acc: 0.4631
2026-07-12 07:05:58,398 - INFO - [Train Bayesian Models] Epoch [5/25], Train Loss: 2.5260, Val Loss: 2.7386, Train Acc: 0.7266, Val Acc: 0.5168
2026-07-12 07:06:18,019 - INFO - [Train Bayesian Models] Epoch [6/25], Train Loss: 2.5160, Val Loss: 2.7339, Train Acc: 0.7285, Val Acc: 0.5570
2026-07-12 07:06:18,287 - INFO - [Train Bayesian Models] Model saved at epoch 6
2026-07-12 07:06:37,916 - INFO - [Train Bayesian Models] Epoch [7/25], Train Loss: 2.5064, Val Loss: 2.6972, Train Acc: 0.8027, Val Acc: 0.6309
2026-07-12 07:06:57,518 - INFO - [Train Bayesian Models] Epoch [8/25], Train Loss: 2.5027, Val Loss: 2.7125, Train Acc: 0.7773, Val Acc: 0.5503
2026-07-12 07:07:17,128 - INFO - [Train Bayesian Models] Epoch [9/25], Train Loss: 2.4664, Val Loss: 2.7361, Train Acc: 0.8145, Val Acc: 0.5235
2026-07-12 07:07:36,759 - INFO - [Train Bayesian Models] Epoch [10/25], Train Loss: 2.4729, Val Loss: 2.9162, Train Acc: 0.7910, Val Acc: 0.5503
2026-07-12 07:07:56,381 - INFO - [Train Bayesian Models] Epoch [11/25], Train Loss: 2.4485, Val Loss: 2.7392, Train Acc: 0.8496, Val Acc: 0.5503
2026-07-12 07:08:15,993 - INFO - [Train Bayesian Models] Epoch [12/25], Train Loss: 2.4217, Val Loss: 2.7391, Train Acc: 0.8574, Val Acc: 0.5705
2026-07-12 07:08:16,258 - INFO - [Train Bayesian Models] Model saved at epoch 12
2026-07-12 07:08:35,867 - INFO - [Train Bayesian Models] Epoch [13/25], Train Loss: 2.3935, Val Loss: 3.0138, Train Acc: 0.8770, Val Acc: 0.5235
2026-07-12 07:08:55,488 - INFO - [Train Bayesian Models] Epoch [14/25], Train Loss: 2.4187, Val Loss: 2.9737, Train Acc: 0.8555, Val Acc: 0.5503
2026-07-12 07:09:15,124 - INFO - [Train Bayesian Models] Epoch [15/25], Train Loss: 2.3783, Val Loss: 2.8311, Train Acc: 0.8945, Val Acc: 0.6174
2026-07-12 07:09:34,734 - INFO - [Train Bayesian Models] Epoch [16/25], Train Loss: 2.3645, Val Loss: 2.9336, Train Acc: 0.8945, Val Acc: 0.6577
2026-07-12 07:09:54,335 - INFO - [Train Bayesian Models] Epoch [17/25], Train Loss: 2.3605, Val Loss: 2.6502, Train Acc: 0.8926, Val Acc: 0.6376
2026-07-12 07:10:13,955 - INFO - [Train Bayesian Models] Epoch [18/25], Train Loss: 2.3574, Val Loss: 3.0222, Train Acc: 0.8809, Val Acc: 0.4631
2026-07-12 07:10:14,220 - INFO - [Train Bayesian Models] Model saved at epoch 18
2026-07-12 07:10:33,820 - INFO - [Train Bayesian Models] Epoch [19/25], Train Loss: 2.3096, Val Loss: 2.6386, Train Acc: 0.9023, Val Acc: 0.7450
2026-07-12 07:10:53,431 - INFO - [Train Bayesian Models] Epoch [20/25], Train Loss: 2.3225, Val Loss: 2.8811, Train Acc: 0.9199, Val Acc: 0.5839
2026-07-12 07:11:13,041 - INFO - [Train Bayesian Models] Epoch [21/25], Train Loss: 2.3007, Val Loss: 2.6535, Train Acc: 0.9160, Val Acc: 0.6040
2026-07-12 07:11:32,643 - INFO - [Train Bayesian Models] Epoch [22/25], Train Loss: 2.2953, Val Loss: 2.6203, Train Acc: 0.9277, Val Acc: 0.5973
2026-07-12 07:11:52,265 - INFO - [Train Bayesian Models] Epoch [23/25], Train Loss: 2.2607, Val Loss: 2.5590, Train Acc: 0.9297, Val Acc: 0.8322
2026-07-12 07:12:11,889 - INFO - [Train Bayesian Models] Epoch [24/25], Train Loss: 2.2664, Val Loss: 2.6917, Train Acc: 0.9180, Val Acc: 0.5570
2026-07-12 07:12:12,155 - INFO - [Train Bayesian Models] Model saved at epoch 24
2026-07-12 07:12:31,768 - INFO - [Train Bayesian Models] Epoch [25/25], Train Loss: 2.2705, Val Loss: 2.6520, Train Acc: 0.9141, Val Acc: 0.6577
2026-07-12 07:12:32,747 - INFO - [Train Bayesian Models] Run 23/30 - Test Loss: 3.1405, Test Accuracy: 0.4845
2026-07-12 07:12:32,924 - INFO - [Train Bayesian Models] Model saved to outputs/exp1/bayesian_models/model_23.pt
2026-07-12 07:12:33,268 - INFO - [Train Bayesian Models] Training model 24/30 (seed 100065)...
2026-07-12 07:12:53,185 - INFO - [Train Bayesian Models] Epoch [1/25], Train Loss: 2.6033, Val Loss: 2.8783, Train Acc: 0.4863, Val Acc: 0.5436
2026-07-12 07:13:12,798 - INFO - [Train Bayesian Models] Epoch [2/25], Train Loss: 2.5758, Val Loss: 2.9261, Train Acc: 0.5586, Val Acc: 0.5034
2026-07-12 07:13:32,418 - INFO - [Train Bayesian Models] Epoch [3/25], Train Loss: 2.5464, Val Loss: 2.8707, Train Acc: 0.6641, Val Acc: 0.5503
2026-07-12 07:13:52,052 - INFO - [Train Bayesian Models] Epoch [4/25], Train Loss: 2.5337, Val Loss: 2.9773, Train Acc: 0.6562, Val Acc: 0.4631
2026-07-12 07:14:11,675 - INFO - [Train Bayesian Models] Epoch [5/25], Train Loss: 2.5132, Val Loss: 3.0105, Train Acc: 0.6797, Val Acc: 0.5235
2026-07-12 07:14:31,318 - INFO - [Train Bayesian Models] Epoch [6/25], Train Loss: 2.4891, Val Loss: 3.1272, Train Acc: 0.7324, Val Acc: 0.5168
2026-07-12 07:14:31,584 - INFO - [Train Bayesian Models] Model saved at epoch 6
2026-07-12 07:14:51,187 - INFO - [Train Bayesian Models] Epoch [7/25], Train Loss: 2.4612, Val Loss: 2.8934, Train Acc: 0.7969, Val Acc: 0.5436
2026-07-12 07:15:10,799 - INFO - [Train Bayesian Models] Epoch [8/25], Train Loss: 2.4563, Val Loss: 2.9682, Train Acc: 0.8223, Val Acc: 0.5168
2026-07-12 07:15:30,418 - INFO - [Train Bayesian Models] Epoch [9/25], Train Loss: 2.4511, Val Loss: 2.8381, Train Acc: 0.8242, Val Acc: 0.5503
2026-07-12 07:15:50,045 - INFO - [Train Bayesian Models] Epoch [10/25], Train Loss: 2.4137, Val Loss: 2.9632, Train Acc: 0.8379, Val Acc: 0.6779
2026-07-12 07:16:09,651 - INFO - [Train Bayesian Models] Epoch [11/25], Train Loss: 2.4161, Val Loss: 2.7209, Train Acc: 0.8086, Val Acc: 0.5101
2026-07-12 07:16:29,263 - INFO - [Train Bayesian Models] Epoch [12/25], Train Loss: 2.3681, Val Loss: 2.7889, Train Acc: 0.8828, Val Acc: 0.6040
2026-07-12 07:16:29,529 - INFO - [Train Bayesian Models] Model saved at epoch 12
2026-07-12 07:16:49,155 - INFO - [Train Bayesian Models] Epoch [13/25], Train Loss: 2.3734, Val Loss: 2.7075, Train Acc: 0.8652, Val Acc: 0.6040
2026-07-12 07:17:08,766 - INFO - [Train Bayesian Models] Epoch [14/25], Train Loss: 2.3205, Val Loss: 2.8226, Train Acc: 0.9062, Val Acc: 0.5369
2026-07-12 07:17:28,403 - INFO - [Train Bayesian Models] Epoch [15/25], Train Loss: 2.3255, Val Loss: 2.8981, Train Acc: 0.8984, Val Acc: 0.5570
2026-07-12 07:17:48,036 - INFO - [Train Bayesian Models] Epoch [16/25], Train Loss: 2.3195, Val Loss: 2.6888, Train Acc: 0.9082, Val Acc: 0.6644
2026-07-12 07:18:07,660 - INFO - [Train Bayesian Models] Epoch [17/25], Train Loss: 2.2871, Val Loss: 2.6967, Train Acc: 0.8965, Val Acc: 0.6174
2026-07-12 07:18:27,274 - INFO - [Train Bayesian Models] Epoch [18/25], Train Loss: 2.2888, Val Loss: 2.7434, Train Acc: 0.9062, Val Acc: 0.6443
2026-07-12 07:18:27,537 - INFO - [Train Bayesian Models] Model saved at epoch 18
2026-07-12 07:18:47,166 - INFO - [Train Bayesian Models] Epoch [19/25], Train Loss: 2.2666, Val Loss: 2.8745, Train Acc: 0.9023, Val Acc: 0.5638
2026-07-12 07:19:06,800 - INFO - [Train Bayesian Models] Epoch [20/25], Train Loss: 2.2527, Val Loss: 2.6654, Train Acc: 0.9062, Val Acc: 0.5973
2026-07-12 07:19:26,416 - INFO - [Train Bayesian Models] Epoch [21/25], Train Loss: 2.2248, Val Loss: 2.6334, Train Acc: 0.9258, Val Acc: 0.6913
2026-07-12 07:19:46,042 - INFO - [Train Bayesian Models] Epoch [22/25], Train Loss: 2.2066, Val Loss: 2.6878, Train Acc: 0.9238, Val Acc: 0.6309
2026-07-12 07:20:05,667 - INFO - [Train Bayesian Models] Epoch [23/25], Train Loss: 2.2117, Val Loss: 2.9676, Train Acc: 0.9434, Val Acc: 0.5101
2026-07-12 07:20:25,305 - INFO - [Train Bayesian Models] Epoch [24/25], Train Loss: 2.2040, Val Loss: 2.5925, Train Acc: 0.9395, Val Acc: 0.6913
2026-07-12 07:20:25,569 - INFO - [Train Bayesian Models] Model saved at epoch 24
2026-07-12 07:20:45,183 - INFO - [Train Bayesian Models] Epoch [25/25], Train Loss: 2.2043, Val Loss: 2.7509, Train Acc: 0.9277, Val Acc: 0.6510
2026-07-12 07:20:46,164 - INFO - [Train Bayesian Models] Run 24/30 - Test Loss: 3.3125, Test Accuracy: 0.6082
2026-07-12 07:20:46,339 - INFO - [Train Bayesian Models] Model saved to outputs/exp1/bayesian_models/model_24.pt
2026-07-12 07:20:46,680 - INFO - [Train Bayesian Models] Training model 25/30 (seed 100066)...
2026-07-12 07:21:06,605 - INFO - [Train Bayesian Models] Epoch [1/25], Train Loss: 2.5826, Val Loss: 2.7568, Train Acc: 0.5469, Val Acc: 0.5235
2026-07-12 07:21:26,244 - INFO - [Train Bayesian Models] Epoch [2/25], Train Loss: 2.5486, Val Loss: 2.7930, Train Acc: 0.6289, Val Acc: 0.4430
2026-07-12 07:21:45,893 - INFO - [Train Bayesian Models] Epoch [3/25], Train Loss: 2.5370, Val Loss: 2.8255, Train Acc: 0.6602, Val Acc: 0.4832
2026-07-12 07:22:05,516 - INFO - [Train Bayesian Models] Epoch [4/25], Train Loss: 2.5157, Val Loss: 2.7925, Train Acc: 0.7129, Val Acc: 0.6040
2026-07-12 07:22:25,141 - INFO - [Train Bayesian Models] Epoch [5/25], Train Loss: 2.5065, Val Loss: 2.9863, Train Acc: 0.7227, Val Acc: 0.5168
2026-07-12 07:22:44,775 - INFO - [Train Bayesian Models] Epoch [6/25], Train Loss: 2.4922, Val Loss: 2.7075, Train Acc: 0.7637, Val Acc: 0.6107
2026-07-12 07:22:45,040 - INFO - [Train Bayesian Models] Model saved at epoch 6
2026-07-12 07:23:04,651 - INFO - [Train Bayesian Models] Epoch [7/25], Train Loss: 2.4756, Val Loss: 2.9611, Train Acc: 0.7715, Val Acc: 0.4228
2026-07-12 07:23:24,285 - INFO - [Train Bayesian Models] Epoch [8/25], Train Loss: 2.4621, Val Loss: 2.7584, Train Acc: 0.7676, Val Acc: 0.4966
2026-07-12 07:23:43,900 - INFO - [Train Bayesian Models] Epoch [9/25], Train Loss: 2.4311, Val Loss: 2.8992, Train Acc: 0.8418, Val Acc: 0.5638
2026-07-12 07:24:03,537 - INFO - [Train Bayesian Models] Epoch [10/25], Train Loss: 2.4360, Val Loss: 2.8988, Train Acc: 0.8320, Val Acc: 0.6174
2026-07-12 07:24:23,192 - INFO - [Train Bayesian Models] Epoch [11/25], Train Loss: 2.4142, Val Loss: 2.6321, Train Acc: 0.8574, Val Acc: 0.6443
2026-07-12 07:24:42,837 - INFO - [Train Bayesian Models] Epoch [12/25], Train Loss: 2.4014, Val Loss: 2.7216, Train Acc: 0.8555, Val Acc: 0.6242
2026-07-12 07:24:43,102 - INFO - [Train Bayesian Models] Model saved at epoch 12
2026-07-12 07:25:02,729 - INFO - [Train Bayesian Models] Epoch [13/25], Train Loss: 2.3693, Val Loss: 2.9471, Train Acc: 0.8906, Val Acc: 0.4564
2026-07-12 07:25:22,384 - INFO - [Train Bayesian Models] Epoch [14/25], Train Loss: 2.3537, Val Loss: 2.7563, Train Acc: 0.9023, Val Acc: 0.5302
2026-07-12 07:25:42,002 - INFO - [Train Bayesian Models] Epoch [15/25], Train Loss: 2.3579, Val Loss: 2.7651, Train Acc: 0.9004, Val Acc: 0.5436
2026-07-12 07:26:01,616 - INFO - [Train Bayesian Models] Epoch [16/25], Train Loss: 2.3327, Val Loss: 2.9979, Train Acc: 0.8906, Val Acc: 0.5034
2026-07-12 07:26:21,252 - INFO - [Train Bayesian Models] Epoch [17/25], Train Loss: 2.3214, Val Loss: 2.7597, Train Acc: 0.8945, Val Acc: 0.4899
2026-07-12 07:26:40,877 - INFO - [Train Bayesian Models] Epoch [18/25], Train Loss: 2.3017, Val Loss: 2.7451, Train Acc: 0.9277, Val Acc: 0.5570
2026-07-12 07:26:41,145 - INFO - [Train Bayesian Models] Model saved at epoch 18
2026-07-12 07:27:00,772 - INFO - [Train Bayesian Models] Epoch [19/25], Train Loss: 2.3004, Val Loss: 2.7159, Train Acc: 0.9180, Val Acc: 0.6980
2026-07-12 07:27:20,421 - INFO - [Train Bayesian Models] Epoch [20/25], Train Loss: 2.2918, Val Loss: 2.6100, Train Acc: 0.9004, Val Acc: 0.6040
2026-07-12 07:27:40,050 - INFO - [Train Bayesian Models] Epoch [21/25], Train Loss: 2.2573, Val Loss: 2.7980, Train Acc: 0.9336, Val Acc: 0.5906
2026-07-12 07:27:59,687 - INFO - [Train Bayesian Models] Epoch [22/25], Train Loss: 2.2346, Val Loss: 3.2303, Train Acc: 0.9297, Val Acc: 0.6040
2026-07-12 07:28:19,321 - INFO - [Train Bayesian Models] Epoch [23/25], Train Loss: 2.2348, Val Loss: 2.9021, Train Acc: 0.9238, Val Acc: 0.6174
2026-07-12 07:28:38,963 - INFO - [Train Bayesian Models] Epoch [24/25], Train Loss: 2.2057, Val Loss: 2.9234, Train Acc: 0.9258, Val Acc: 0.6376
2026-07-12 07:28:39,233 - INFO - [Train Bayesian Models] Model saved at epoch 24
2026-07-12 07:28:59,000 - INFO - [Train Bayesian Models] Epoch [25/25], Train Loss: 2.2178, Val Loss: 2.5775, Train Acc: 0.9297, Val Acc: 0.7517
2026-07-12 07:28:59,983 - INFO - [Train Bayesian Models] Run 25/30 - Test Loss: 4.0043, Test Accuracy: 0.3402
2026-07-12 07:29:00,165 - INFO - [Train Bayesian Models] Model saved to outputs/exp1/bayesian_models/model_25.pt
2026-07-12 07:29:00,509 - INFO - [Train Bayesian Models] Training model 26/30 (seed 100067)...
2026-07-12 07:29:20,477 - INFO - [Train Bayesian Models] Epoch [1/25], Train Loss: 2.6114, Val Loss: 2.8148, Train Acc: 0.4980, Val Acc: 0.5906
2026-07-12 07:29:40,126 - INFO - [Train Bayesian Models] Epoch [2/25], Train Loss: 2.5620, Val Loss: 3.1425, Train Acc: 0.6094, Val Acc: 0.5906
2026-07-12 07:29:59,766 - INFO - [Train Bayesian Models] Epoch [3/25], Train Loss: 2.5454, Val Loss: 2.8510, Train Acc: 0.6289, Val Acc: 0.6107
2026-07-12 07:30:19,419 - INFO - [Train Bayesian Models] Epoch [4/25], Train Loss: 2.5178, Val Loss: 2.8685, Train Acc: 0.6777, Val Acc: 0.5369
2026-07-12 07:30:39,063 - INFO - [Train Bayesian Models] Epoch [5/25], Train Loss: 2.4979, Val Loss: 2.8713, Train Acc: 0.7324, Val Acc: 0.5839
2026-07-12 07:30:58,729 - INFO - [Train Bayesian Models] Epoch [6/25], Train Loss: 2.4764, Val Loss: 3.0953, Train Acc: 0.7734, Val Acc: 0.5570
2026-07-12 07:30:58,999 - INFO - [Train Bayesian Models] Model saved at epoch 6
2026-07-12 07:31:18,643 - INFO - [Train Bayesian Models] Epoch [7/25], Train Loss: 2.4675, Val Loss: 3.0748, Train Acc: 0.7734, Val Acc: 0.4899
2026-07-12 07:31:38,308 - INFO - [Train Bayesian Models] Epoch [8/25], Train Loss: 2.4398, Val Loss: 3.3273, Train Acc: 0.8301, Val Acc: 0.6174
2026-07-12 07:31:57,980 - INFO - [Train Bayesian Models] Epoch [9/25], Train Loss: 2.4223, Val Loss: 2.8009, Train Acc: 0.8184, Val Acc: 0.6107
2026-07-12 07:32:17,622 - INFO - [Train Bayesian Models] Epoch [10/25], Train Loss: 2.4089, Val Loss: 2.9669, Train Acc: 0.8535, Val Acc: 0.6107
2026-07-12 07:32:37,273 - INFO - [Train Bayesian Models] Epoch [11/25], Train Loss: 2.3861, Val Loss: 2.7800, Train Acc: 0.8516, Val Acc: 0.5503
2026-07-12 07:32:56,914 - INFO - [Train Bayesian Models] Epoch [12/25], Train Loss: 2.3853, Val Loss: 3.3010, Train Acc: 0.8281, Val Acc: 0.4161
2026-07-12 07:32:57,182 - INFO - [Train Bayesian Models] Model saved at epoch 12
2026-07-12 07:33:16,825 - INFO - [Train Bayesian Models] Epoch [13/25], Train Loss: 2.3711, Val Loss: 3.3140, Train Acc: 0.8535, Val Acc: 0.5235
2026-07-12 07:33:36,471 - INFO - [Train Bayesian Models] Epoch [14/25], Train Loss: 2.3538, Val Loss: 3.5239, Train Acc: 0.8770, Val Acc: 0.5302
2026-07-12 07:33:56,126 - INFO - [Train Bayesian Models] Epoch [15/25], Train Loss: 2.3519, Val Loss: 2.9514, Train Acc: 0.8789, Val Acc: 0.5906
2026-07-12 07:34:15,761 - INFO - [Train Bayesian Models] Epoch [16/25], Train Loss: 2.3209, Val Loss: 3.1373, Train Acc: 0.8906, Val Acc: 0.5168
2026-07-12 07:34:35,393 - INFO - [Train Bayesian Models] Epoch [17/25], Train Loss: 2.3099, Val Loss: 3.2435, Train Acc: 0.9102, Val Acc: 0.5436
2026-07-12 07:34:55,054 - INFO - [Train Bayesian Models] Epoch [18/25], Train Loss: 2.2982, Val Loss: 3.2103, Train Acc: 0.9062, Val Acc: 0.5235
2026-07-12 07:34:55,324 - INFO - [Train Bayesian Models] Model saved at epoch 18
2026-07-12 07:35:14,961 - INFO - [Train Bayesian Models] Epoch [19/25], Train Loss: 2.3006, Val Loss: 2.7528, Train Acc: 0.8809, Val Acc: 0.6644
2026-07-12 07:35:34,587 - INFO - [Train Bayesian Models] Epoch [20/25], Train Loss: 2.2653, Val Loss: 3.1961, Train Acc: 0.9082, Val Acc: 0.6040
2026-07-12 07:35:54,222 - INFO - [Train Bayesian Models] Epoch [21/25], Train Loss: 2.2443, Val Loss: 2.5542, Train Acc: 0.9258, Val Acc: 0.7383
2026-07-12 07:36:13,853 - INFO - [Train Bayesian Models] Epoch [22/25], Train Loss: 2.2389, Val Loss: 2.9715, Train Acc: 0.9082, Val Acc: 0.5369
2026-07-12 07:36:33,490 - INFO - [Train Bayesian Models] Epoch [23/25], Train Loss: 2.2298, Val Loss: 3.1588, Train Acc: 0.9062, Val Acc: 0.5638
2026-07-12 07:36:53,137 - INFO - [Train Bayesian Models] Epoch [24/25], Train Loss: 2.2172, Val Loss: 3.2504, Train Acc: 0.9199, Val Acc: 0.5839
2026-07-12 07:36:53,403 - INFO - [Train Bayesian Models] Model saved at epoch 24
2026-07-12 07:37:13,026 - INFO - [Train Bayesian Models] Epoch [25/25], Train Loss: 2.1954, Val Loss: 3.0322, Train Acc: 0.9355, Val Acc: 0.6577
2026-07-12 07:37:14,012 - INFO - [Train Bayesian Models] Run 26/30 - Test Loss: 4.5246, Test Accuracy: 0.3402
2026-07-12 07:37:14,191 - INFO - [Train Bayesian Models] Model saved to outputs/exp1/bayesian_models/model_26.pt
2026-07-12 07:37:14,536 - INFO - [Train Bayesian Models] Training model 27/30 (seed 100068)...
2026-07-12 07:37:34,493 - INFO - [Train Bayesian Models] Epoch [1/25], Train Loss: 2.5688, Val Loss: 2.7161, Train Acc: 0.5801, Val Acc: 0.5906
2026-07-12 07:37:54,152 - INFO - [Train Bayesian Models] Epoch [2/25], Train Loss: 2.5494, Val Loss: 3.1302, Train Acc: 0.6250, Val Acc: 0.5906
2026-07-12 07:38:13,807 - INFO - [Train Bayesian Models] Epoch [3/25], Train Loss: 2.5196, Val Loss: 2.8509, Train Acc: 0.6738, Val Acc: 0.6309
2026-07-12 07:38:33,470 - INFO - [Train Bayesian Models] Epoch [4/25], Train Loss: 2.4801, Val Loss: 3.0843, Train Acc: 0.7539, Val Acc: 0.5302
2026-07-12 07:38:53,121 - INFO - [Train Bayesian Models] Epoch [5/25], Train Loss: 2.4880, Val Loss: 2.9519, Train Acc: 0.7070, Val Acc: 0.5034
2026-07-12 07:39:12,778 - INFO - [Train Bayesian Models] Epoch [6/25], Train Loss: 2.4811, Val Loss: 2.8122, Train Acc: 0.7266, Val Acc: 0.5906
2026-07-12 07:39:13,050 - INFO - [Train Bayesian Models] Model saved at epoch 6
2026-07-12 07:39:32,681 - INFO - [Train Bayesian Models] Epoch [7/25], Train Loss: 2.4615, Val Loss: 2.8919, Train Acc: 0.7637, Val Acc: 0.5906
2026-07-12 07:39:52,328 - INFO - [Train Bayesian Models] Epoch [8/25], Train Loss: 2.4177, Val Loss: 2.7112, Train Acc: 0.8164, Val Acc: 0.6040
2026-07-12 07:40:11,966 - INFO - [Train Bayesian Models] Epoch [9/25], Train Loss: 2.4252, Val Loss: 2.8347, Train Acc: 0.8086, Val Acc: 0.5168
2026-07-12 07:40:31,603 - INFO - [Train Bayesian Models] Epoch [10/25], Train Loss: 2.4053, Val Loss: 3.1852, Train Acc: 0.8301, Val Acc: 0.5369
2026-07-12 07:40:51,257 - INFO - [Train Bayesian Models] Epoch [11/25], Train Loss: 2.3867, Val Loss: 2.9467, Train Acc: 0.8301, Val Acc: 0.5235
2026-07-12 07:41:10,896 - INFO - [Train Bayesian Models] Epoch [12/25], Train Loss: 2.3795, Val Loss: 2.7038, Train Acc: 0.8594, Val Acc: 0.6309
2026-07-12 07:41:11,168 - INFO - [Train Bayesian Models] Model saved at epoch 12
2026-07-12 07:41:30,799 - INFO - [Train Bayesian Models] Epoch [13/25], Train Loss: 2.3581, Val Loss: 2.8248, Train Acc: 0.8652, Val Acc: 0.6242
2026-07-12 07:41:50,445 - INFO - [Train Bayesian Models] Epoch [14/25], Train Loss: 2.3401, Val Loss: 2.9828, Train Acc: 0.8496, Val Acc: 0.5906
2026-07-12 07:42:10,084 - INFO - [Train Bayesian Models] Epoch [15/25], Train Loss: 2.3243, Val Loss: 2.9842, Train Acc: 0.8848, Val Acc: 0.5973
2026-07-12 07:42:29,720 - INFO - [Train Bayesian Models] Epoch [16/25], Train Loss: 2.3184, Val Loss: 3.3326, Train Acc: 0.8984, Val Acc: 0.5906
2026-07-12 07:42:49,380 - INFO - [Train Bayesian Models] Epoch [17/25], Train Loss: 2.3006, Val Loss: 2.7701, Train Acc: 0.8809, Val Acc: 0.6107
2026-07-12 07:43:09,015 - INFO - [Train Bayesian Models] Epoch [18/25], Train Loss: 2.2706, Val Loss: 3.1469, Train Acc: 0.8945, Val Acc: 0.6913
2026-07-12 07:43:09,289 - INFO - [Train Bayesian Models] Model saved at epoch 18
2026-07-12 07:43:28,923 - INFO - [Train Bayesian Models] Epoch [19/25], Train Loss: 2.2651, Val Loss: 3.3097, Train Acc: 0.9082, Val Acc: 0.5638
2026-07-12 07:43:48,574 - INFO - [Train Bayesian Models] Epoch [20/25], Train Loss: 2.2607, Val Loss: 2.8647, Train Acc: 0.9082, Val Acc: 0.5168
2026-07-12 07:44:08,204 - INFO - [Train Bayesian Models] Epoch [21/25], Train Loss: 2.2496, Val Loss: 2.7976, Train Acc: 0.9082, Val Acc: 0.6174
2026-07-12 07:44:27,852 - INFO - [Train Bayesian Models] Epoch [22/25], Train Loss: 2.2178, Val Loss: 3.0328, Train Acc: 0.9199, Val Acc: 0.5705
2026-07-12 07:44:47,493 - INFO - [Train Bayesian Models] Epoch [23/25], Train Loss: 2.2167, Val Loss: 2.7947, Train Acc: 0.9297, Val Acc: 0.5436
2026-07-12 07:45:07,143 - INFO - [Train Bayesian Models] Epoch [24/25], Train Loss: 2.2015, Val Loss: 2.6413, Train Acc: 0.9238, Val Acc: 0.6577
2026-07-12 07:45:07,413 - INFO - [Train Bayesian Models] Model saved at epoch 24
2026-07-12 07:45:27,044 - INFO - [Train Bayesian Models] Epoch [25/25], Train Loss: 2.1977, Val Loss: 2.7411, Train Acc: 0.9297, Val Acc: 0.6711
2026-07-12 07:45:28,023 - INFO - [Train Bayesian Models] Run 27/30 - Test Loss: 4.2093, Test Accuracy: 0.3918
2026-07-12 07:45:28,205 - INFO - [Train Bayesian Models] Model saved to outputs/exp1/bayesian_models/model_27.pt
2026-07-12 07:45:28,551 - INFO - [Train Bayesian Models] Training model 28/30 (seed 100069)...
2026-07-12 07:45:48,529 - INFO - [Train Bayesian Models] Epoch [1/25], Train Loss: 2.6162, Val Loss: 2.7282, Train Acc: 0.4688, Val Acc: 0.5302
2026-07-12 07:46:08,181 - INFO - [Train Bayesian Models] Epoch [2/25], Train Loss: 2.5850, Val Loss: 2.7773, Train Acc: 0.5645, Val Acc: 0.5906
2026-07-12 07:46:27,820 - INFO - [Train Bayesian Models] Epoch [3/25], Train Loss: 2.5642, Val Loss: 2.8564, Train Acc: 0.6172, Val Acc: 0.5168
2026-07-12 07:46:47,476 - INFO - [Train Bayesian Models] Epoch [4/25], Train Loss: 2.5660, Val Loss: 2.8020, Train Acc: 0.6113, Val Acc: 0.4564
2026-07-12 07:47:07,142 - INFO - [Train Bayesian Models] Epoch [5/25], Train Loss: 2.5383, Val Loss: 2.7226, Train Acc: 0.6836, Val Acc: 0.5906
2026-07-12 07:47:26,812 - INFO - [Train Bayesian Models] Epoch [6/25], Train Loss: 2.5285, Val Loss: 2.7642, Train Acc: 0.7109, Val Acc: 0.5638
2026-07-12 07:47:27,085 - INFO - [Train Bayesian Models] Model saved at epoch 6
2026-07-12 07:47:46,739 - INFO - [Train Bayesian Models] Epoch [7/25], Train Loss: 2.5242, Val Loss: 2.7935, Train Acc: 0.7012, Val Acc: 0.4765
2026-07-12 07:48:06,410 - INFO - [Train Bayesian Models] Epoch [8/25], Train Loss: 2.4893, Val Loss: 2.8412, Train Acc: 0.8223, Val Acc: 0.5638
2026-07-12 07:48:26,085 - INFO - [Train Bayesian Models] Epoch [9/25], Train Loss: 2.4740, Val Loss: 2.6967, Train Acc: 0.8125, Val Acc: 0.5436
2026-07-12 07:48:45,759 - INFO - [Train Bayesian Models] Epoch [10/25], Train Loss: 2.4759, Val Loss: 2.6716, Train Acc: 0.8027, Val Acc: 0.6040
2026-07-12 07:49:05,431 - INFO - [Train Bayesian Models] Epoch [11/25], Train Loss: 2.4636, Val Loss: 2.6880, Train Acc: 0.8184, Val Acc: 0.6443
2026-07-12 07:49:25,085 - INFO - [Train Bayesian Models] Epoch [12/25], Train Loss: 2.4282, Val Loss: 2.6509, Train Acc: 0.8438, Val Acc: 0.5906
2026-07-12 07:49:25,355 - INFO - [Train Bayesian Models] Model saved at epoch 12
2026-07-12 07:49:44,979 - INFO - [Train Bayesian Models] Epoch [13/25], Train Loss: 2.4187, Val Loss: 2.7515, Train Acc: 0.8594, Val Acc: 0.5369
2026-07-12 07:50:04,625 - INFO - [Train Bayesian Models] Epoch [14/25], Train Loss: 2.4002, Val Loss: 2.7287, Train Acc: 0.8848, Val Acc: 0.5973
2026-07-12 07:50:24,280 - INFO - [Train Bayesian Models] Epoch [15/25], Train Loss: 2.4024, Val Loss: 2.6400, Train Acc: 0.8672, Val Acc: 0.7584
2026-07-12 07:50:43,942 - INFO - [Train Bayesian Models] Epoch [16/25], Train Loss: 2.3990, Val Loss: 2.8525, Train Acc: 0.8555, Val Acc: 0.5973
2026-07-12 07:51:03,592 - INFO - [Train Bayesian Models] Epoch [17/25], Train Loss: 2.3606, Val Loss: 2.9183, Train Acc: 0.8926, Val Acc: 0.4765
2026-07-12 07:51:23,248 - INFO - [Train Bayesian Models] Epoch [18/25], Train Loss: 2.3457, Val Loss: 2.8994, Train Acc: 0.9102, Val Acc: 0.5369
2026-07-12 07:51:23,518 - INFO - [Train Bayesian Models] Model saved at epoch 18
2026-07-12 07:51:43,153 - INFO - [Train Bayesian Models] Epoch [19/25], Train Loss: 2.3248, Val Loss: 2.8902, Train Acc: 0.9121, Val Acc: 0.5436
2026-07-12 07:52:02,817 - INFO - [Train Bayesian Models] Epoch [20/25], Train Loss: 2.3222, Val Loss: 2.6239, Train Acc: 0.8926, Val Acc: 0.6779
2026-07-12 07:52:22,462 - INFO - [Train Bayesian Models] Epoch [21/25], Train Loss: 2.3079, Val Loss: 2.6747, Train Acc: 0.9121, Val Acc: 0.6040
2026-07-12 07:52:42,120 - INFO - [Train Bayesian Models] Epoch [22/25], Train Loss: 2.2807, Val Loss: 2.6113, Train Acc: 0.9375, Val Acc: 0.7248
2026-07-12 07:53:01,758 - INFO - [Train Bayesian Models] Epoch [23/25], Train Loss: 2.2663, Val Loss: 2.5872, Train Acc: 0.9258, Val Acc: 0.6913
2026-07-12 07:53:21,417 - INFO - [Train Bayesian Models] Epoch [24/25], Train Loss: 2.2630, Val Loss: 3.0677, Train Acc: 0.9180, Val Acc: 0.5772
2026-07-12 07:53:21,687 - INFO - [Train Bayesian Models] Model saved at epoch 24
2026-07-12 07:53:41,312 - INFO - [Train Bayesian Models] Epoch [25/25], Train Loss: 2.2347, Val Loss: 2.6920, Train Acc: 0.9473, Val Acc: 0.5973
2026-07-12 07:53:42,297 - INFO - [Train Bayesian Models] Run 28/30 - Test Loss: 3.1209, Test Accuracy: 0.7113
2026-07-12 07:53:42,477 - INFO - [Train Bayesian Models] Model saved to outputs/exp1/bayesian_models/model_28.pt
2026-07-12 07:53:42,826 - INFO - [Train Bayesian Models] Training model 29/30 (seed 100070)...
2026-07-12 07:54:02,810 - INFO - [Train Bayesian Models] Epoch [1/25], Train Loss: 2.5883, Val Loss: 2.9785, Train Acc: 0.5430, Val Acc: 0.4631
2026-07-12 07:54:22,478 - INFO - [Train Bayesian Models] Epoch [2/25], Train Loss: 2.5691, Val Loss: 2.8455, Train Acc: 0.5723, Val Acc: 0.4698
2026-07-12 07:54:42,142 - INFO - [Train Bayesian Models] Epoch [3/25], Train Loss: 2.5388, Val Loss: 2.9813, Train Acc: 0.6270, Val Acc: 0.5168
2026-07-12 07:55:01,824 - INFO - [Train Bayesian Models] Epoch [4/25], Train Loss: 2.5327, Val Loss: 2.9463, Train Acc: 0.6367, Val Acc: 0.4832
2026-07-12 07:55:21,495 - INFO - [Train Bayesian Models] Epoch [5/25], Train Loss: 2.5141, Val Loss: 3.1428, Train Acc: 0.6406, Val Acc: 0.4966
2026-07-12 07:55:41,136 - INFO - [Train Bayesian Models] Epoch [6/25], Train Loss: 2.4959, Val Loss: 2.7474, Train Acc: 0.6758, Val Acc: 0.5168
2026-07-12 07:55:41,406 - INFO - [Train Bayesian Models] Model saved at epoch 6
2026-07-12 07:56:01,039 - INFO - [Train Bayesian Models] Epoch [7/25], Train Loss: 2.4514, Val Loss: 2.9101, Train Acc: 0.7480, Val Acc: 0.5772
2026-07-12 07:56:20,695 - INFO - [Train Bayesian Models] Epoch [8/25], Train Loss: 2.4668, Val Loss: 3.0565, Train Acc: 0.7344, Val Acc: 0.4631
2026-07-12 07:56:40,341 - INFO - [Train Bayesian Models] Epoch [9/25], Train Loss: 2.4443, Val Loss: 3.5736, Train Acc: 0.7773, Val Acc: 0.5302
2026-07-12 07:56:59,976 - INFO - [Train Bayesian Models] Epoch [10/25], Train Loss: 2.4421, Val Loss: 2.8331, Train Acc: 0.7715, Val Acc: 0.4430
2026-07-12 07:57:19,644 - INFO - [Train Bayesian Models] Epoch [11/25], Train Loss: 2.4138, Val Loss: 2.8599, Train Acc: 0.7988, Val Acc: 0.4698
2026-07-12 07:57:39,301 - INFO - [Train Bayesian Models] Epoch [12/25], Train Loss: 2.4043, Val Loss: 2.7588, Train Acc: 0.8223, Val Acc: 0.6174
2026-07-12 07:57:39,575 - INFO - [Train Bayesian Models] Model saved at epoch 12
2026-07-12 07:57:59,209 - INFO - [Train Bayesian Models] Epoch [13/25], Train Loss: 2.3901, Val Loss: 2.7954, Train Acc: 0.8203, Val Acc: 0.5302
2026-07-12 07:58:18,852 - INFO - [Train Bayesian Models] Epoch [14/25], Train Loss: 2.3784, Val Loss: 2.7457, Train Acc: 0.8438, Val Acc: 0.5570
2026-07-12 07:58:38,486 - INFO - [Train Bayesian Models] Epoch [15/25], Train Loss: 2.3472, Val Loss: 2.9888, Train Acc: 0.8613, Val Acc: 0.4631
2026-07-12 07:58:58,141 - INFO - [Train Bayesian Models] Epoch [16/25], Train Loss: 2.3510, Val Loss: 3.0307, Train Acc: 0.8613, Val Acc: 0.5168
2026-07-12 07:59:17,792 - INFO - [Train Bayesian Models] Epoch [17/25], Train Loss: 2.3343, Val Loss: 2.7253, Train Acc: 0.8398, Val Acc: 0.5570
2026-07-12 07:59:37,435 - INFO - [Train Bayesian Models] Epoch [18/25], Train Loss: 2.3163, Val Loss: 2.7986, Train Acc: 0.8809, Val Acc: 0.4497
2026-07-12 07:59:37,703 - INFO - [Train Bayesian Models] Model saved at epoch 18
2026-07-12 07:59:57,337 - INFO - [Train Bayesian Models] Epoch [19/25], Train Loss: 2.3029, Val Loss: 2.6733, Train Acc: 0.8867, Val Acc: 0.6376
2026-07-12 08:00:16,994 - INFO - [Train Bayesian Models] Epoch [20/25], Train Loss: 2.2858, Val Loss: 2.5569, Train Acc: 0.8984, Val Acc: 0.8054
2026-07-12 08:00:36,647 - INFO - [Train Bayesian Models] Epoch [21/25], Train Loss: 2.2742, Val Loss: 2.7027, Train Acc: 0.9023, Val Acc: 0.6107
2026-07-12 08:00:56,281 - INFO - [Train Bayesian Models] Epoch [22/25], Train Loss: 2.2606, Val Loss: 3.1026, Train Acc: 0.9180, Val Acc: 0.5772
2026-07-12 08:01:15,914 - INFO - [Train Bayesian Models] Epoch [23/25], Train Loss: 2.2369, Val Loss: 2.6696, Train Acc: 0.9258, Val Acc: 0.5705
2026-07-12 08:01:35,762 - INFO - [Train Bayesian Models] Epoch [24/25], Train Loss: 2.2250, Val Loss: 2.5679, Train Acc: 0.9414, Val Acc: 0.7517
2026-07-12 08:01:36,033 - INFO - [Train Bayesian Models] Model saved at epoch 24
2026-07-12 08:01:55,660 - INFO - [Train Bayesian Models] Epoch [25/25], Train Loss: 2.2275, Val Loss: 2.5798, Train Acc: 0.9180, Val Acc: 0.6980
2026-07-12 08:01:56,638 - INFO - [Train Bayesian Models] Run 29/30 - Test Loss: 2.9897, Test Accuracy: 0.8454
2026-07-12 08:01:56,821 - INFO - [Train Bayesian Models] Model saved to outputs/exp1/bayesian_models/model_29.pt
2026-07-12 08:01:57,169 - INFO - [Train Bayesian Models] Training model 30/30 (seed 100071)...
2026-07-12 08:02:17,140 - INFO - [Train Bayesian Models] Epoch [1/25], Train Loss: 2.5940, Val Loss: 2.8204, Train Acc: 0.5352, Val Acc: 0.5101
2026-07-12 08:02:36,788 - INFO - [Train Bayesian Models] Epoch [2/25], Train Loss: 2.5679, Val Loss: 2.7317, Train Acc: 0.6133, Val Acc: 0.5906
2026-07-12 08:02:56,439 - INFO - [Train Bayesian Models] Epoch [3/25], Train Loss: 2.5439, Val Loss: 2.8615, Train Acc: 0.6348, Val Acc: 0.5168
2026-07-12 08:03:16,110 - INFO - [Train Bayesian Models] Epoch [4/25], Train Loss: 2.5388, Val Loss: 2.9713, Train Acc: 0.6504, Val Acc: 0.5302
2026-07-12 08:03:35,798 - INFO - [Train Bayesian Models] Epoch [5/25], Train Loss: 2.5080, Val Loss: 2.8963, Train Acc: 0.7344, Val Acc: 0.5369
2026-07-12 08:03:55,455 - INFO - [Train Bayesian Models] Epoch [6/25], Train Loss: 2.4727, Val Loss: 2.7142, Train Acc: 0.8223, Val Acc: 0.5772
2026-07-12 08:03:55,695 - INFO - [Train Bayesian Models] Model saved at epoch 6
2026-07-12 08:04:15,338 - INFO - [Train Bayesian Models] Epoch [7/25], Train Loss: 2.4513, Val Loss: 2.7568, Train Acc: 0.8262, Val Acc: 0.5638
2026-07-12 08:04:34,991 - INFO - [Train Bayesian Models] Epoch [8/25], Train Loss: 2.4483, Val Loss: 2.6715, Train Acc: 0.8379, Val Acc: 0.6376
2026-07-12 08:04:54,666 - INFO - [Train Bayesian Models] Epoch [9/25], Train Loss: 2.4231, Val Loss: 2.6738, Train Acc: 0.8457, Val Acc: 0.6913
2026-07-12 08:05:14,331 - INFO - [Train Bayesian Models] Epoch [10/25], Train Loss: 2.4259, Val Loss: 2.7390, Train Acc: 0.8242, Val Acc: 0.5973
2026-07-12 08:05:33,995 - INFO - [Train Bayesian Models] Epoch [11/25], Train Loss: 2.4020, Val Loss: 2.7222, Train Acc: 0.8828, Val Acc: 0.5638
2026-07-12 08:05:53,639 - INFO - [Train Bayesian Models] Epoch [12/25], Train Loss: 2.3795, Val Loss: 2.6748, Train Acc: 0.8496, Val Acc: 0.6242
2026-07-12 08:05:53,879 - INFO - [Train Bayesian Models] Model saved at epoch 12
2026-07-12 08:06:13,531 - INFO - [Train Bayesian Models] Epoch [13/25], Train Loss: 2.3539, Val Loss: 2.8080, Train Acc: 0.8965, Val Acc: 0.5906
2026-07-12 08:06:33,174 - INFO - [Train Bayesian Models] Epoch [14/25], Train Loss: 2.3670, Val Loss: 2.6662, Train Acc: 0.8691, Val Acc: 0.6577
2026-07-12 08:06:52,827 - INFO - [Train Bayesian Models] Epoch [15/25], Train Loss: 2.3169, Val Loss: 2.7266, Train Acc: 0.8965, Val Acc: 0.5638
2026-07-12 08:07:12,481 - INFO - [Train Bayesian Models] Epoch [16/25], Train Loss: 2.3115, Val Loss: 2.6907, Train Acc: 0.9141, Val Acc: 0.6779
2026-07-12 08:07:32,159 - INFO - [Train Bayesian Models] Epoch [17/25], Train Loss: 2.2985, Val Loss: 2.7172, Train Acc: 0.9043, Val Acc: 0.5705
2026-07-12 08:07:51,841 - INFO - [Train Bayesian Models] Epoch [18/25], Train Loss: 2.2741, Val Loss: 2.6411, Train Acc: 0.9180, Val Acc: 0.6577
2026-07-12 08:07:52,079 - INFO - [Train Bayesian Models] Model saved at epoch 18
2026-07-12 08:08:11,744 - INFO - [Train Bayesian Models] Epoch [19/25], Train Loss: 2.2768, Val Loss: 2.8303, Train Acc: 0.8926, Val Acc: 0.5503
2026-07-12 08:08:31,397 - INFO - [Train Bayesian Models] Epoch [20/25], Train Loss: 2.2746, Val Loss: 2.6856, Train Acc: 0.9043, Val Acc: 0.6174
2026-07-12 08:08:51,059 - INFO - [Train Bayesian Models] Epoch [21/25], Train Loss: 2.2340, Val Loss: 2.6138, Train Acc: 0.9414, Val Acc: 0.6846
2026-07-12 08:09:10,752 - INFO - [Train Bayesian Models] Epoch [22/25], Train Loss: 2.2213, Val Loss: 2.6348, Train Acc: 0.9375, Val Acc: 0.6510
2026-07-12 08:09:30,426 - INFO - [Train Bayesian Models] Epoch [23/25], Train Loss: 2.2119, Val Loss: 2.6825, Train Acc: 0.9355, Val Acc: 0.6510
2026-07-12 08:09:50,086 - INFO - [Train Bayesian Models] Epoch [24/25], Train Loss: 2.1930, Val Loss: 2.5896, Train Acc: 0.9551, Val Acc: 0.7383
2026-07-12 08:09:50,324 - INFO - [Train Bayesian Models] Model saved at epoch 24
2026-07-12 08:10:09,978 - INFO - [Train Bayesian Models] Epoch [25/25], Train Loss: 2.1881, Val Loss: 2.7741, Train Acc: 0.9297, Val Acc: 0.6376
2026-07-12 08:10:10,966 - INFO - [Train Bayesian Models] Run 30/30 - Test Loss: 3.1376, Test Accuracy: 0.6082
2026-07-12 08:10:11,113 - INFO - [Train Bayesian Models] Model saved to outputs/exp1/bayesian_models/model_30.pt
2026-07-12 08:10:11,464 - INFO - [Train Bayesian Models] All Bayesian models trained and saved successfully.
2026-07-12 08:10:11,464 - INFO - [Train Bayesian Models] Task completed.
2026-07-12 08:10:11,466 - INFO - [SYSTEM] Starting Task 4/7: Load Saved Models
2026-07-12 08:10:11,467 - INFO - [Load Saved Models] Found 30 normal model(s) in normal_models/.
2026-07-12 08:10:11,468 - INFO - [Load Saved Models] Found 30 bayesian model(s) in bayesian_models/.
2026-07-12 08:10:11,469 - INFO - [Load Saved Models] Task completed.
2026-07-12 08:10:11,470 - INFO - [SYSTEM] Starting Task 5/7: Evaluate Regular Models
2026-07-12 08:10:11,555 - INFO - [Evaluate Regular Models] Evaluating 30 normal model(s) on 97 samples, 1 noise level(s), 1 MC pass(es) each.
2026-07-12 08:10:11,562 - INFO - [Evaluate Regular Models] Loading normal model 1/30: model_1.pt
2026-07-12 08:10:12,859 - INFO - [Evaluate Regular Models] Loading normal model 2/30: model_2.pt
2026-07-12 08:10:14,139 - INFO - [Evaluate Regular Models] Loading normal model 3/30: model_3.pt
2026-07-12 08:10:15,412 - INFO - [Evaluate Regular Models] Loading normal model 4/30: model_4.pt
2026-07-12 08:10:16,665 - INFO - [Evaluate Regular Models] Loading normal model 5/30: model_5.pt
2026-07-12 08:10:17,959 - INFO - [Evaluate Regular Models] Loading normal model 6/30: model_6.pt
2026-07-12 08:10:19,250 - INFO - [Evaluate Regular Models] Loading normal model 7/30: model_7.pt
2026-07-12 08:10:20,542 - INFO - [Evaluate Regular Models] Loading normal model 8/30: model_8.pt
2026-07-12 08:10:21,823 - INFO - [Evaluate Regular Models] Loading normal model 9/30: model_9.pt
2026-07-12 08:10:23,113 - INFO - [Evaluate Regular Models] Loading normal model 10/30: model_10.pt
2026-07-12 08:10:24,387 - INFO - [Evaluate Regular Models] Loading normal model 11/30: model_11.pt
2026-07-12 08:10:25,664 - INFO - [Evaluate Regular Models] Loading normal model 12/30: model_12.pt
2026-07-12 08:10:26,936 - INFO - [Evaluate Regular Models] Loading normal model 13/30: model_13.pt
2026-07-12 08:10:28,232 - INFO - [Evaluate Regular Models] Loading normal model 14/30: model_14.pt
2026-07-12 08:10:29,517 - INFO - [Evaluate Regular Models] Loading normal model 15/30: model_15.pt
2026-07-12 08:10:30,792 - INFO - [Evaluate Regular Models] Loading normal model 16/30: model_16.pt
2026-07-12 08:10:32,103 - INFO - [Evaluate Regular Models] Loading normal model 17/30: model_17.pt
2026-07-12 08:10:33,390 - INFO - [Evaluate Regular Models] Loading normal model 18/30: model_18.pt
2026-07-12 08:10:34,662 - INFO - [Evaluate Regular Models] Loading normal model 19/30: model_19.pt
2026-07-12 08:10:35,933 - INFO - [Evaluate Regular Models] Loading normal model 20/30: model_20.pt
2026-07-12 08:10:37,213 - INFO - [Evaluate Regular Models] Loading normal model 21/30: model_21.pt
2026-07-12 08:10:38,503 - INFO - [Evaluate Regular Models] Loading normal model 22/30: model_22.pt
2026-07-12 08:10:39,786 - INFO - [Evaluate Regular Models] Loading normal model 23/30: model_23.pt
2026-07-12 08:10:41,067 - INFO - [Evaluate Regular Models] Loading normal model 24/30: model_24.pt
2026-07-12 08:10:42,340 - INFO - [Evaluate Regular Models] Loading normal model 25/30: model_25.pt
2026-07-12 08:10:43,613 - INFO - [Evaluate Regular Models] Loading normal model 26/30: model_26.pt
2026-07-12 08:10:44,885 - INFO - [Evaluate Regular Models] Loading normal model 27/30: model_27.pt
2026-07-12 08:10:46,163 - INFO - [Evaluate Regular Models] Loading normal model 28/30: model_28.pt
2026-07-12 08:10:47,452 - INFO - [Evaluate Regular Models] Loading normal model 29/30: model_29.pt
2026-07-12 08:10:48,724 - INFO - [Evaluate Regular Models] Loading normal model 30/30: model_30.pt
2026-07-12 08:10:50,031 - INFO - [Evaluate Regular Models] Saved normal evaluation to outputs/exp1/evaluations/normal.nc (models=30, samples=97, noise_levels=1).
2026-07-12 08:10:50,032 - INFO - [Evaluate Regular Models] Task completed.
2026-07-12 08:10:50,033 - INFO - [SYSTEM] Starting Task 6/7: Evaluate Bayesian Models
2026-07-12 08:10:50,108 - INFO - [Evaluate Bayesian Models] Evaluating 30 bayesian model(s) on 97 samples, 1 noise level(s), 30 MC pass(es) each.
2026-07-12 08:10:50,115 - INFO - [Evaluate Bayesian Models] Loading bayesian model 1/30: model_1.pt
2026-07-12 08:11:19,440 - INFO - [Evaluate Bayesian Models] Loading bayesian model 2/30: model_2.pt
2026-07-12 08:11:48,851 - INFO - [Evaluate Bayesian Models] Loading bayesian model 3/30: model_3.pt
2026-07-12 08:12:18,302 - INFO - [Evaluate Bayesian Models] Loading bayesian model 4/30: model_4.pt
2026-07-12 08:12:47,813 - INFO - [Evaluate Bayesian Models] Loading bayesian model 5/30: model_5.pt
2026-07-12 08:13:17,321 - INFO - [Evaluate Bayesian Models] Loading bayesian model 6/30: model_6.pt
2026-07-12 08:13:46,793 - INFO - [Evaluate Bayesian Models] Loading bayesian model 7/30: model_7.pt
2026-07-12 08:14:16,273 - INFO - [Evaluate Bayesian Models] Loading bayesian model 8/30: model_8.pt
2026-07-12 08:14:45,706 - INFO - [Evaluate Bayesian Models] Loading bayesian model 9/30: model_9.pt
2026-07-12 08:15:15,192 - INFO - [Evaluate Bayesian Models] Loading bayesian model 10/30: model_10.pt
2026-07-12 08:15:44,725 - INFO - [Evaluate Bayesian Models] Loading bayesian model 11/30: model_11.pt
2026-07-12 08:16:14,270 - INFO - [Evaluate Bayesian Models] Loading bayesian model 12/30: model_12.pt
2026-07-12 08:16:43,759 - INFO - [Evaluate Bayesian Models] Loading bayesian model 13/30: model_13.pt
2026-07-12 08:17:13,158 - INFO - [Evaluate Bayesian Models] Loading bayesian model 14/30: model_14.pt
2026-07-12 08:17:42,591 - INFO - [Evaluate Bayesian Models] Loading bayesian model 15/30: model_15.pt
2026-07-12 08:18:12,006 - INFO - [Evaluate Bayesian Models] Loading bayesian model 16/30: model_16.pt
2026-07-12 08:18:41,446 - INFO - [Evaluate Bayesian Models] Loading bayesian model 17/30: model_17.pt
2026-07-12 08:19:10,998 - INFO - [Evaluate Bayesian Models] Loading bayesian model 18/30: model_18.pt
2026-07-12 08:19:40,433 - INFO - [Evaluate Bayesian Models] Loading bayesian model 19/30: model_19.pt
2026-07-12 08:20:09,846 - INFO - [Evaluate Bayesian Models] Loading bayesian model 20/30: model_20.pt
2026-07-12 08:20:39,271 - INFO - [Evaluate Bayesian Models] Loading bayesian model 21/30: model_21.pt
2026-07-12 08:21:08,641 - INFO - [Evaluate Bayesian Models] Loading bayesian model 22/30: model_22.pt
2026-07-12 08:21:37,994 - INFO - [Evaluate Bayesian Models] Loading bayesian model 23/30: model_23.pt
2026-07-12 08:22:07,480 - INFO - [Evaluate Bayesian Models] Loading bayesian model 24/30: model_24.pt
2026-07-12 08:22:36,953 - INFO - [Evaluate Bayesian Models] Loading bayesian model 25/30: model_25.pt
2026-07-12 08:23:06,398 - INFO - [Evaluate Bayesian Models] Loading bayesian model 26/30: model_26.pt
2026-07-12 08:23:35,865 - INFO - [Evaluate Bayesian Models] Loading bayesian model 27/30: model_27.pt
2026-07-12 08:24:05,263 - INFO - [Evaluate Bayesian Models] Loading bayesian model 28/30: model_28.pt
2026-07-12 08:24:34,717 - INFO - [Evaluate Bayesian Models] Loading bayesian model 29/30: model_29.pt
2026-07-12 08:25:04,170 - INFO - [Evaluate Bayesian Models] Loading bayesian model 30/30: model_30.pt
2026-07-12 08:25:33,581 - INFO - [Evaluate Bayesian Models] Saved bayesian evaluation to outputs/exp1/evaluations/bayesian.nc (models=30, samples=97, noise_levels=1).
2026-07-12 08:25:33,582 - INFO - [Evaluate Bayesian Models] Task completed.
2026-07-12 08:25:33,583 - INFO - [SYSTEM] Starting Task 7/7: Evaluate Models on Noised Data
2026-07-12 08:25:33,658 - INFO - [Evaluate Models on Noised Data] Evaluating 30 normal model(s) on 97 samples, 5 noise level(s), 1 MC pass(es) each.
2026-07-12 08:25:33,665 - INFO - [Evaluate Models on Noised Data] Loading normal model 1/30: model_1.pt
2026-07-12 08:25:38,764 - INFO - [Evaluate Models on Noised Data] Loading normal model 2/30: model_2.pt
2026-07-12 08:25:43,846 - INFO - [Evaluate Models on Noised Data] Loading normal model 3/30: model_3.pt
2026-07-12 08:25:48,940 - INFO - [Evaluate Models on Noised Data] Loading normal model 4/30: model_4.pt
2026-07-12 08:25:54,013 - INFO - [Evaluate Models on Noised Data] Loading normal model 5/30: model_5.pt
2026-07-12 08:25:59,079 - INFO - [Evaluate Models on Noised Data] Loading normal model 6/30: model_6.pt
2026-07-12 08:26:04,153 - INFO - [Evaluate Models on Noised Data] Loading normal model 7/30: model_7.pt
2026-07-12 08:26:09,219 - INFO - [Evaluate Models on Noised Data] Loading normal model 8/30: model_8.pt
2026-07-12 08:26:14,300 - INFO - [Evaluate Models on Noised Data] Loading normal model 9/30: model_9.pt
2026-07-12 08:26:19,368 - INFO - [Evaluate Models on Noised Data] Loading normal model 10/30: model_10.pt
2026-07-12 08:26:24,445 - INFO - [Evaluate Models on Noised Data] Loading normal model 11/30: model_11.pt
2026-07-12 08:26:29,518 - INFO - [Evaluate Models on Noised Data] Loading normal model 12/30: model_12.pt
2026-07-12 08:26:34,597 - INFO - [Evaluate Models on Noised Data] Loading normal model 13/30: model_13.pt
2026-07-12 08:26:39,682 - INFO - [Evaluate Models on Noised Data] Loading normal model 14/30: model_14.pt
2026-07-12 08:26:44,746 - INFO - [Evaluate Models on Noised Data] Loading normal model 15/30: model_15.pt
2026-07-12 08:26:49,826 - INFO - [Evaluate Models on Noised Data] Loading normal model 16/30: model_16.pt
2026-07-12 08:26:54,898 - INFO - [Evaluate Models on Noised Data] Loading normal model 17/30: model_17.pt
2026-07-12 08:26:59,980 - INFO - [Evaluate Models on Noised Data] Loading normal model 18/30: model_18.pt
2026-07-12 08:27:05,056 - INFO - [Evaluate Models on Noised Data] Loading normal model 19/30: model_19.pt
2026-07-12 08:27:10,119 - INFO - [Evaluate Models on Noised Data] Loading normal model 20/30: model_20.pt
2026-07-12 08:27:15,177 - INFO - [Evaluate Models on Noised Data] Loading normal model 21/30: model_21.pt
2026-07-12 08:27:20,254 - INFO - [Evaluate Models on Noised Data] Loading normal model 22/30: model_22.pt
2026-07-12 08:27:25,313 - INFO - [Evaluate Models on Noised Data] Loading normal model 23/30: model_23.pt
2026-07-12 08:27:30,388 - INFO - [Evaluate Models on Noised Data] Loading normal model 24/30: model_24.pt
2026-07-12 08:27:35,451 - INFO - [Evaluate Models on Noised Data] Loading normal model 25/30: model_25.pt
2026-07-12 08:27:40,522 - INFO - [Evaluate Models on Noised Data] Loading normal model 26/30: model_26.pt
2026-07-12 08:27:45,592 - INFO - [Evaluate Models on Noised Data] Loading normal model 27/30: model_27.pt
2026-07-12 08:27:50,676 - INFO - [Evaluate Models on Noised Data] Loading normal model 28/30: model_28.pt
2026-07-12 08:27:55,759 - INFO - [Evaluate Models on Noised Data] Loading normal model 29/30: model_29.pt
2026-07-12 08:28:00,846 - INFO - [Evaluate Models on Noised Data] Loading normal model 30/30: model_30.pt
2026-07-12 08:28:05,940 - INFO - [Evaluate Models on Noised Data] Saved normal evaluation to outputs/exp1/evaluations/noisy_normal.nc (models=30, samples=97, noise_levels=5).
2026-07-12 08:28:06,023 - INFO - [Evaluate Models on Noised Data] Evaluating 30 bayesian model(s) on 97 samples, 5 noise level(s), 30 MC pass(es) each.
2026-07-12 08:28:06,030 - INFO - [Evaluate Models on Noised Data] Loading bayesian model 1/30: model_1.pt
2026-07-12 08:30:31,564 - INFO - [Evaluate Models on Noised Data] Loading bayesian model 2/30: model_2.pt
2026-07-12 08:32:57,140 - INFO - [Evaluate Models on Noised Data] Loading bayesian model 3/30: model_3.pt
2026-07-12 08:35:22,713 - INFO - [Evaluate Models on Noised Data] Loading bayesian model 4/30: model_4.pt
2026-07-12 08:37:48,172 - INFO - [Evaluate Models on Noised Data] Loading bayesian model 5/30: model_5.pt
2026-07-12 08:40:13,563 - INFO - [Evaluate Models on Noised Data] Loading bayesian model 6/30: model_6.pt
2026-07-12 08:42:39,048 - INFO - [Evaluate Models on Noised Data] Loading bayesian model 7/30: model_7.pt
2026-07-12 08:45:04,466 - INFO - [Evaluate Models on Noised Data] Loading bayesian model 8/30: model_8.pt
2026-07-12 08:47:30,003 - INFO - [Evaluate Models on Noised Data] Loading bayesian model 9/30: model_9.pt
2026-07-12 08:49:55,559 - INFO - [Evaluate Models on Noised Data] Loading bayesian model 10/30: model_10.pt
2026-07-12 08:52:20,969 - INFO - [Evaluate Models on Noised Data] Loading bayesian model 11/30: model_11.pt
2026-07-12 08:54:46,524 - INFO - [Evaluate Models on Noised Data] Loading bayesian model 12/30: model_12.pt
2026-07-12 08:57:11,842 - INFO - [Evaluate Models on Noised Data] Loading bayesian model 13/30: model_13.pt
2026-07-12 08:59:37,196 - INFO - [Evaluate Models on Noised Data] Loading bayesian model 14/30: model_14.pt
2026-07-12 09:02:02,644 - INFO - [Evaluate Models on Noised Data] Loading bayesian model 15/30: model_15.pt
2026-07-12 09:04:28,044 - INFO - [Evaluate Models on Noised Data] Loading bayesian model 16/30: model_16.pt
2026-07-12 09:06:53,619 - INFO - [Evaluate Models on Noised Data] Loading bayesian model 17/30: model_17.pt
2026-07-12 09:09:19,118 - INFO - [Evaluate Models on Noised Data] Loading bayesian model 18/30: model_18.pt
2026-07-12 09:11:44,741 - INFO - [Evaluate Models on Noised Data] Loading bayesian model 19/30: model_19.pt
2026-07-12 09:14:10,339 - INFO - [Evaluate Models on Noised Data] Loading bayesian model 20/30: model_20.pt
2026-07-12 09:16:35,945 - INFO - [Evaluate Models on Noised Data] Loading bayesian model 21/30: model_21.pt
2026-07-12 09:19:01,488 - INFO - [Evaluate Models on Noised Data] Loading bayesian model 22/30: model_22.pt
2026-07-12 09:21:27,054 - INFO - [Evaluate Models on Noised Data] Loading bayesian model 23/30: model_23.pt
2026-07-12 09:23:52,623 - INFO - [Evaluate Models on Noised Data] Loading bayesian model 24/30: model_24.pt
2026-07-12 09:26:18,201 - INFO - [Evaluate Models on Noised Data] Loading bayesian model 25/30: model_25.pt
2026-07-12 09:28:43,812 - INFO - [Evaluate Models on Noised Data] Loading bayesian model 26/30: model_26.pt
2026-07-12 09:31:09,440 - INFO - [Evaluate Models on Noised Data] Loading bayesian model 27/30: model_27.pt
2026-07-12 09:33:34,926 - INFO - [Evaluate Models on Noised Data] Loading bayesian model 28/30: model_28.pt
2026-07-12 09:36:00,392 - INFO - [Evaluate Models on Noised Data] Loading bayesian model 29/30: model_29.pt
2026-07-12 09:38:25,789 - INFO - [Evaluate Models on Noised Data] Loading bayesian model 30/30: model_30.pt
2026-07-12 09:40:51,271 - INFO - [Evaluate Models on Noised Data] Saved bayesian evaluation to outputs/exp1/evaluations/noisy_bayesian.nc (models=30, samples=97, noise_levels=5).
2026-07-12 09:40:51,272 - INFO - [Evaluate Models on Noised Data] Task completed.
2026-07-12 09:40:51,274 - INFO - [SYSTEM] All tasks finished successfully!
2026-07-15 09:58:02,551 - INFO - [SYSTEM] Application initialized and ready.
2026-07-15 09:58:10,021 - INFO - [SYSTEM] Successfully loaded config from ./outputs/exp1/config.toml
2026-07-15 09:59:00,769 - INFO - [SYSTEM] Successfully loaded config from ./outputs/exp1/config.toml
2026-07-15 09:59:04,466 - INFO - [SYSTEM] Initiating Scenario: 4. Analyze Existing Evaluations
2026-07-15 09:59:04,469 - INFO - [SYSTEM] Starting Task 1/1: Analyze Evaluations
2026-07-15 09:59:04,567 - INFO - [Analyze Evaluations] Loaded evaluation 'bayesian' with dims {'model': 30, 'noise_level': 1, 'sample': 97, 'class_name': 2}.
2026-07-15 09:59:04,571 - INFO - [Analyze Evaluations] Loaded evaluation 'noisy_bayesian' with dims {'model': 30, 'noise_level': 5, 'sample': 97, 'class_name': 2}.
2026-07-15 09:59:04,575 - INFO - [Analyze Evaluations] Loaded evaluation 'noisy_normal' with dims {'model': 30, 'noise_level': 5, 'sample': 97, 'class_name': 2}.
2026-07-15 09:59:04,602 - INFO - [Analyze Evaluations] Loaded evaluation 'normal' with dims {'model': 30, 'noise_level': 1, 'sample': 97, 'class_name': 2}.
2026-07-15 09:59:04,603 - INFO - [Analyze Evaluations] Running analysis: model_report
2026-07-15 09:59:04,670 - INFO - [Analyze Evaluations] model_report: wrote model_report.pdf (2 family/families, 60 model(s)).
2026-07-15 09:59:04,671 - INFO - [Analyze Evaluations] Analysis artifacts written to outputs/exp1/analysis/.
2026-07-15 09:59:04,673 - INFO - [Analyze Evaluations] Task completed.
2026-07-15 09:59:04,674 - INFO - [SYSTEM] All tasks finished successfully!
2026-07-15 10:11:12,119 - INFO - [SYSTEM] Application initialized and ready.
2026-07-15 10:11:12,120 - INFO - [SYSTEM] Successfully loaded config from ./outputs/exp1/config.toml
2026-07-15 10:11:12,163 - INFO - [SYSTEM] Initiating Scenario: 4. Analyze Existing Evaluations
2026-07-15 10:11:12,179 - INFO - [SYSTEM] Starting Task 1/1: Analyze Evaluations
2026-07-15 10:11:12,191 - INFO - [Analyze Evaluations] Loaded evaluation 'bayesian' with dims {'model': 30, 'noise_level': 1, 'sample': 97, 'class_name': 2}.
2026-07-15 10:11:12,200 - INFO - [Analyze Evaluations] Loaded evaluation 'noisy_bayesian' with dims {'model': 30, 'noise_level': 5, 'sample': 97, 'class_name': 2}.
2026-07-15 10:11:12,204 - INFO - [Analyze Evaluations] Loaded evaluation 'noisy_normal' with dims {'model': 30, 'noise_level': 5, 'sample': 97, 'class_name': 2}.
2026-07-15 10:11:12,211 - INFO - [Analyze Evaluations] Loaded evaluation 'normal' with dims {'model': 30, 'noise_level': 1, 'sample': 97, 'class_name': 2}.
2026-07-15 10:11:12,212 - INFO - [Analyze Evaluations] Running analysis: model_report
2026-07-15 10:11:12,271 - INFO - [Analyze Evaluations] model_report: wrote model_report.pdf (2 family/families, 60 model(s)).
2026-07-15 10:11:12,272 - INFO - [Analyze Evaluations] Analysis artifacts written to outputs/exp1/analysis/.
2026-07-15 10:11:12,273 - INFO - [Analyze Evaluations] Task completed.
2026-07-15 10:11:12,275 - INFO - [SYSTEM] All tasks finished successfully!
2026-07-15 10:19:03,576 - INFO - [SYSTEM] Application initialized and ready.
2026-07-15 10:19:03,577 - INFO - [SYSTEM] Successfully loaded config from ./outputs/exp1/config.toml
2026-07-15 10:19:03,621 - INFO - [SYSTEM] Initiating Scenario: 4. Analyze Existing Evaluations
2026-07-15 10:19:03,630 - INFO - [SYSTEM] Starting Task 1/1: Analyze Evaluations
2026-07-15 10:19:03,649 - INFO - [Analyze Evaluations] Loaded evaluation 'bayesian' with dims {'model': 30, 'noise_level': 1, 'sample': 97, 'class_name': 2}.
2026-07-15 10:19:03,658 - INFO - [Analyze Evaluations] Loaded evaluation 'noisy_bayesian' with dims {'model': 30, 'noise_level': 5, 'sample': 97, 'class_name': 2}.
2026-07-15 10:19:03,662 - INFO - [Analyze Evaluations] Loaded evaluation 'noisy_normal' with dims {'model': 30, 'noise_level': 5, 'sample': 97, 'class_name': 2}.
2026-07-15 10:19:03,665 - INFO - [Analyze Evaluations] Loaded evaluation 'normal' with dims {'model': 30, 'noise_level': 1, 'sample': 97, 'class_name': 2}.
2026-07-15 10:19:03,669 - INFO - [Analyze Evaluations] Running analysis: model_report
2026-07-15 10:19:03,729 - INFO - [Analyze Evaluations] model_report: wrote model_report.pdf (2 family/families, 60 model(s)).
2026-07-15 10:19:03,730 - INFO - [Analyze Evaluations] Running analysis: ensemble_size_accuracy
2026-07-15 10:19:03,743 - INFO - [Analyze Evaluations] ensemble_size_accuracy: normal - sizes 1..30, up to 30 configs each.
2026-07-15 10:19:03,757 - INFO - [Analyze Evaluations] ensemble_size_accuracy: bayesian - sizes 1..30, up to 30 configs each.
2026-07-15 10:19:04,199 - INFO - [Analyze Evaluations] ensemble_size_accuracy: wrote ensemble_size_accuracy.png (2 family/families).
2026-07-15 10:19:04,201 - INFO - [Analyze Evaluations] Analysis artifacts written to outputs/exp1/analysis/.
2026-07-15 10:19:04,202 - INFO - [Analyze Evaluations] Task completed.
2026-07-15 10:19:04,204 - INFO - [SYSTEM] All tasks finished successfully!
2026-07-15 10:24:33,887 - INFO - [SYSTEM] Application initialized and ready.
2026-07-15 10:24:33,888 - INFO - [SYSTEM] Successfully loaded config from ./outputs/exp1/config.toml
2026-07-15 10:24:33,932 - INFO - [SYSTEM] Initiating Scenario: 4. Analyze Existing Evaluations
2026-07-15 10:24:33,942 - INFO - [SYSTEM] Starting Task 1/1: Analyze Evaluations
2026-07-15 10:24:33,959 - INFO - [Analyze Evaluations] Loaded evaluation 'bayesian' with dims {'model': 30, 'noise_level': 1, 'sample': 97, 'class_name': 2}.
2026-07-15 10:24:33,967 - INFO - [Analyze Evaluations] Loaded evaluation 'noisy_bayesian' with dims {'model': 30, 'noise_level': 5, 'sample': 97, 'class_name': 2}.
2026-07-15 10:24:33,971 - INFO - [Analyze Evaluations] Loaded evaluation 'noisy_normal' with dims {'model': 30, 'noise_level': 5, 'sample': 97, 'class_name': 2}.
2026-07-15 10:24:33,974 - INFO - [Analyze Evaluations] Loaded evaluation 'normal' with dims {'model': 30, 'noise_level': 1, 'sample': 97, 'class_name': 2}.
2026-07-15 10:24:33,975 - INFO - [Analyze Evaluations] Running analysis: model_report
2026-07-15 10:24:34,038 - INFO - [Analyze Evaluations] model_report: wrote model_report.pdf (2 family/families, 60 model(s)).
2026-07-15 10:24:34,040 - INFO - [Analyze Evaluations] Running analysis: ensemble_size_accuracy
2026-07-15 10:24:34,054 - INFO - [Analyze Evaluations] ensemble_size_accuracy: normal - sizes 1..30, up to 30 configs each.
2026-07-15 10:24:34,068 - INFO - [Analyze Evaluations] ensemble_size_accuracy: bayesian - sizes 1..30, up to 30 configs each.
2026-07-15 10:24:34,280 - INFO - [Analyze Evaluations] ensemble_size_accuracy: wrote ensemble_size_accuracy.png (2 family/families).
2026-07-15 10:24:34,283 - INFO - [Analyze Evaluations] Analysis artifacts written to outputs/exp1/analysis/.
2026-07-15 10:24:34,284 - INFO - [Analyze Evaluations] Task completed.
2026-07-15 10:24:34,286 - INFO - [SYSTEM] All tasks finished successfully!
2026-07-15 10:24:46,864 - INFO - [SYSTEM] Application initialized and ready.
2026-07-15 10:24:46,865 - INFO - [SYSTEM] Successfully loaded config from ./outputs/exp1/config.toml
2026-07-15 10:24:46,907 - INFO - [SYSTEM] Initiating Scenario: 4. Analyze Existing Evaluations
2026-07-15 10:24:46,917 - INFO - [SYSTEM] Starting Task 1/1: Analyze Evaluations
2026-07-15 10:24:46,934 - INFO - [Analyze Evaluations] Loaded evaluation 'bayesian' with dims {'model': 30, 'noise_level': 1, 'sample': 97, 'class_name': 2}.
2026-07-15 10:24:46,943 - INFO - [Analyze Evaluations] Loaded evaluation 'noisy_bayesian' with dims {'model': 30, 'noise_level': 5, 'sample': 97, 'class_name': 2}.
2026-07-15 10:24:46,947 - INFO - [Analyze Evaluations] Loaded evaluation 'noisy_normal' with dims {'model': 30, 'noise_level': 5, 'sample': 97, 'class_name': 2}.
2026-07-15 10:24:46,951 - INFO - [Analyze Evaluations] Loaded evaluation 'normal' with dims {'model': 30, 'noise_level': 1, 'sample': 97, 'class_name': 2}.
2026-07-15 10:24:46,955 - INFO - [Analyze Evaluations] Running analysis: model_report
2026-07-15 10:24:47,014 - INFO - [Analyze Evaluations] model_report: wrote model_report.pdf (2 family/families, 60 model(s)).
2026-07-15 10:24:47,016 - INFO - [Analyze Evaluations] Running analysis: ensemble_size_accuracy
2026-07-15 10:24:47,028 - INFO - [Analyze Evaluations] ensemble_size_accuracy: normal - sizes 1..30, up to 30 configs each.
2026-07-15 10:24:47,043 - INFO - [Analyze Evaluations] ensemble_size_accuracy: bayesian - sizes 1..30, up to 30 configs each.
2026-07-15 10:24:47,255 - INFO - [Analyze Evaluations] ensemble_size_accuracy: wrote ensemble_size_accuracy.png (2 family/families).
2026-07-15 10:24:47,258 - INFO - [Analyze Evaluations] Analysis artifacts written to outputs/exp1/analysis/.
2026-07-15 10:24:47,259 - INFO - [Analyze Evaluations] Task completed.
2026-07-15 10:24:47,261 - INFO - [SYSTEM] All tasks finished successfully!
2026-07-15 11:53:52,291 - INFO - [SYSTEM] Application initialized and ready.
2026-07-26 19:05:57,057 - INFO - [SYSTEM] Application initialized and ready.
2026-07-26 19:05:57,058 - INFO - [SYSTEM] Successfully loaded config from ./outputs/exp1/config.toml
2026-07-26 19:06:10,314 - INFO - [SYSTEM] Initiating Scenario: 2. Load, Evaluate (test+val), Noise, & Analyze
2026-07-26 19:06:10,328 - INFO - [SYSTEM] Starting Task 1/10: Load Image and ADNIMERGE
2026-07-26 19:06:10,463 - INFO - [Load Image and ADNIMERGE] Seeded RNGs with base seed 42
2026-07-26 19:06:10,469 - INFO - [Load Image and ADNIMERGE] Loading Files
2026-07-26 19:06:15,619 - INFO - [Load Image and ADNIMERGE] Dataloaders initalized
2026-07-26 19:06:15,625 - INFO - [Load Image and ADNIMERGE] Task completed.
2026-07-26 19:06:15,627 - INFO - [SYSTEM] Starting Task 2/10: Load Saved Models
2026-07-26 19:06:15,628 - INFO - [Load Saved Models] Found 30 normal model(s) in normal_models/.
2026-07-26 19:06:15,629 - INFO - [Load Saved Models] Found 30 bayesian model(s) in bayesian_models/.
2026-07-26 19:06:15,630 - INFO - [Load Saved Models] Task completed.
2026-07-26 19:06:15,631 - INFO - [SYSTEM] Starting Task 3/10: Evaluate Regular Models
2026-07-26 19:06:15,897 - INFO - [Evaluate Regular Models] Evaluating 30 normal model(s) on 97 test samples, 1 noise level(s), 1 MC pass(es) each.
2026-07-26 19:06:15,904 - INFO - [Evaluate Regular Models] Loading normal model 1/30: model_1.pt
2026-07-26 19:06:17,346 - INFO - [Evaluate Regular Models] Loading normal model 2/30: model_2.pt
2026-07-26 19:06:18,553 - INFO - [Evaluate Regular Models] Loading normal model 3/30: model_3.pt
2026-07-26 19:06:19,746 - INFO - [Evaluate Regular Models] Loading normal model 4/30: model_4.pt
2026-07-26 19:06:20,937 - INFO - [Evaluate Regular Models] Loading normal model 5/30: model_5.pt
2026-07-26 19:06:22,122 - INFO - [Evaluate Regular Models] Loading normal model 6/30: model_6.pt
2026-07-26 19:06:23,317 - INFO - [Evaluate Regular Models] Loading normal model 7/30: model_7.pt
2026-07-26 19:06:24,506 - INFO - [Evaluate Regular Models] Loading normal model 8/30: model_8.pt
2026-07-26 19:06:25,691 - INFO - [Evaluate Regular Models] Loading normal model 9/30: model_9.pt
2026-07-26 19:06:26,875 - INFO - [Evaluate Regular Models] Loading normal model 10/30: model_10.pt
2026-07-26 19:06:28,060 - INFO - [Evaluate Regular Models] Loading normal model 11/30: model_11.pt
2026-07-26 19:06:29,249 - INFO - [Evaluate Regular Models] Loading normal model 12/30: model_12.pt
2026-07-26 19:06:30,443 - INFO - [Evaluate Regular Models] Loading normal model 13/30: model_13.pt
2026-07-26 19:06:31,632 - INFO - [Evaluate Regular Models] Loading normal model 14/30: model_14.pt
2026-07-26 19:06:32,825 - INFO - [Evaluate Regular Models] Loading normal model 15/30: model_15.pt
2026-07-26 19:06:34,010 - INFO - [Evaluate Regular Models] Loading normal model 16/30: model_16.pt
2026-07-26 19:06:35,173 - INFO - [Evaluate Regular Models] Loading normal model 17/30: model_17.pt
2026-07-26 19:06:36,369 - INFO - [Evaluate Regular Models] Loading normal model 18/30: model_18.pt
2026-07-26 19:06:37,543 - INFO - [Evaluate Regular Models] Loading normal model 19/30: model_19.pt
2026-07-26 19:06:38,732 - INFO - [Evaluate Regular Models] Loading normal model 20/30: model_20.pt
2026-07-26 19:06:39,929 - INFO - [Evaluate Regular Models] Loading normal model 21/30: model_21.pt
2026-07-26 19:06:41,115 - INFO - [Evaluate Regular Models] Loading normal model 22/30: model_22.pt
2026-07-26 19:06:42,305 - INFO - [Evaluate Regular Models] Loading normal model 23/30: model_23.pt
2026-07-26 19:06:43,500 - INFO - [Evaluate Regular Models] Loading normal model 24/30: model_24.pt
2026-07-26 19:06:44,697 - INFO - [Evaluate Regular Models] Loading normal model 25/30: model_25.pt
2026-07-26 19:06:45,896 - INFO - [Evaluate Regular Models] Loading normal model 26/30: model_26.pt
2026-07-26 19:06:47,110 - INFO - [Evaluate Regular Models] Loading normal model 27/30: model_27.pt
2026-07-26 19:06:48,305 - INFO - [Evaluate Regular Models] Loading normal model 28/30: model_28.pt
2026-07-26 19:06:49,501 - INFO - [Evaluate Regular Models] Loading normal model 29/30: model_29.pt
2026-07-26 19:06:50,699 - INFO - [Evaluate Regular Models] Loading normal model 30/30: model_30.pt
2026-07-26 19:06:51,938 - INFO - [Evaluate Regular Models] Saved normal test evaluation to outputs/exp1/evaluations/normal.nc (models=30, samples=97, noise_levels=1).
2026-07-26 19:06:51,939 - INFO - [Evaluate Regular Models] Task completed.
2026-07-26 19:06:51,941 - INFO - [SYSTEM] Starting Task 4/10: Evaluate Bayesian Models
2026-07-26 19:06:52,018 - INFO - [Evaluate Bayesian Models] Evaluating 30 bayesian model(s) on 97 test samples, 1 noise level(s), 30 MC pass(es) each.
2026-07-26 19:06:52,025 - INFO - [Evaluate Bayesian Models] Loading bayesian model 1/30: model_1.pt
2026-07-26 19:07:20,836 - INFO - [Evaluate Bayesian Models] Loading bayesian model 2/30: model_2.pt
2026-07-26 19:07:49,761 - INFO - [Evaluate Bayesian Models] Loading bayesian model 3/30: model_3.pt
2026-07-26 19:08:18,725 - INFO - [Evaluate Bayesian Models] Loading bayesian model 4/30: model_4.pt
2026-07-26 19:08:47,655 - INFO - [Evaluate Bayesian Models] Loading bayesian model 5/30: model_5.pt
2026-07-26 19:09:16,588 - INFO - [Evaluate Bayesian Models] Loading bayesian model 6/30: model_6.pt
2026-07-26 19:09:45,521 - INFO - [Evaluate Bayesian Models] Loading bayesian model 7/30: model_7.pt
2026-07-26 19:10:14,520 - INFO - [Evaluate Bayesian Models] Loading bayesian model 8/30: model_8.pt
2026-07-26 19:10:43,509 - INFO - [Evaluate Bayesian Models] Loading bayesian model 9/30: model_9.pt
2026-07-26 19:11:12,503 - INFO - [Evaluate Bayesian Models] Loading bayesian model 10/30: model_10.pt
2026-07-26 19:11:41,451 - INFO - [Evaluate Bayesian Models] Loading bayesian model 11/30: model_11.pt
2026-07-26 19:12:10,455 - INFO - [Evaluate Bayesian Models] Loading bayesian model 12/30: model_12.pt
2026-07-26 19:12:39,453 - INFO - [Evaluate Bayesian Models] Loading bayesian model 13/30: model_13.pt
2026-07-26 19:13:08,458 - INFO - [Evaluate Bayesian Models] Loading bayesian model 14/30: model_14.pt
2026-07-26 19:13:37,438 - INFO - [Evaluate Bayesian Models] Loading bayesian model 15/30: model_15.pt
2026-07-26 19:14:06,437 - INFO - [Evaluate Bayesian Models] Loading bayesian model 16/30: model_16.pt
2026-07-26 19:14:35,478 - INFO - [Evaluate Bayesian Models] Loading bayesian model 17/30: model_17.pt
2026-07-26 19:15:04,534 - INFO - [Evaluate Bayesian Models] Loading bayesian model 18/30: model_18.pt
2026-07-26 19:15:33,620 - INFO - [Evaluate Bayesian Models] Loading bayesian model 19/30: model_19.pt
2026-07-26 19:16:02,721 - INFO - [Evaluate Bayesian Models] Loading bayesian model 20/30: model_20.pt
2026-07-26 19:16:31,815 - INFO - [Evaluate Bayesian Models] Loading bayesian model 21/30: model_21.pt
2026-07-26 19:17:00,869 - INFO - [Evaluate Bayesian Models] Loading bayesian model 22/30: model_22.pt
2026-07-26 19:17:30,007 - INFO - [Evaluate Bayesian Models] Loading bayesian model 23/30: model_23.pt
2026-07-26 19:17:59,099 - INFO - [Evaluate Bayesian Models] Loading bayesian model 24/30: model_24.pt
2026-07-26 19:18:28,155 - INFO - [Evaluate Bayesian Models] Loading bayesian model 25/30: model_25.pt
2026-07-26 19:18:57,232 - INFO - [Evaluate Bayesian Models] Loading bayesian model 26/30: model_26.pt
2026-07-26 19:19:26,222 - INFO - [Evaluate Bayesian Models] Loading bayesian model 27/30: model_27.pt
2026-07-26 19:19:55,221 - INFO - [Evaluate Bayesian Models] Loading bayesian model 28/30: model_28.pt
2026-07-26 19:20:24,279 - INFO - [Evaluate Bayesian Models] Loading bayesian model 29/30: model_29.pt
2026-07-26 19:20:53,366 - INFO - [Evaluate Bayesian Models] Loading bayesian model 30/30: model_30.pt
2026-07-26 19:21:22,526 - INFO - [Evaluate Bayesian Models] Saved bayesian test evaluation to outputs/exp1/evaluations/bayesian.nc (models=30, samples=97, noise_levels=1).
2026-07-26 19:21:22,538 - INFO - [Evaluate Bayesian Models] Task completed.
2026-07-26 19:21:22,543 - INFO - [SYSTEM] Starting Task 5/10: Evaluate Regular Models (Validation)
2026-07-26 19:21:22,654 - INFO - [Evaluate Regular Models (Validation)] Evaluating 30 normal model(s) on 149 val samples, 1 noise level(s), 1 MC pass(es) each.
2026-07-26 19:21:22,661 - INFO - [Evaluate Regular Models (Validation)] Loading normal model 1/30: model_1.pt
2026-07-26 19:21:24,315 - INFO - [Evaluate Regular Models (Validation)] Loading normal model 2/30: model_2.pt
2026-07-26 19:21:25,974 - INFO - [Evaluate Regular Models (Validation)] Loading normal model 3/30: model_3.pt
2026-07-26 19:21:27,633 - INFO - [Evaluate Regular Models (Validation)] Loading normal model 4/30: model_4.pt
2026-07-26 19:21:29,286 - INFO - [Evaluate Regular Models (Validation)] Loading normal model 5/30: model_5.pt
2026-07-26 19:21:30,932 - INFO - [Evaluate Regular Models (Validation)] Loading normal model 6/30: model_6.pt
2026-07-26 19:21:32,586 - INFO - [Evaluate Regular Models (Validation)] Loading normal model 7/30: model_7.pt
2026-07-26 19:21:34,236 - INFO - [Evaluate Regular Models (Validation)] Loading normal model 8/30: model_8.pt
2026-07-26 19:21:35,887 - INFO - [Evaluate Regular Models (Validation)] Loading normal model 9/30: model_9.pt
2026-07-26 19:21:37,532 - INFO - [Evaluate Regular Models (Validation)] Loading normal model 10/30: model_10.pt
2026-07-26 19:21:39,185 - INFO - [Evaluate Regular Models (Validation)] Loading normal model 11/30: model_11.pt
2026-07-26 19:21:40,830 - INFO - [Evaluate Regular Models (Validation)] Loading normal model 12/30: model_12.pt
2026-07-26 19:21:42,484 - INFO - [Evaluate Regular Models (Validation)] Loading normal model 13/30: model_13.pt
2026-07-26 19:21:44,143 - INFO - [Evaluate Regular Models (Validation)] Loading normal model 14/30: model_14.pt
2026-07-26 19:21:45,801 - INFO - [Evaluate Regular Models (Validation)] Loading normal model 15/30: model_15.pt
2026-07-26 19:21:47,461 - INFO - [Evaluate Regular Models (Validation)] Loading normal model 16/30: model_16.pt
2026-07-26 19:21:49,118 - INFO - [Evaluate Regular Models (Validation)] Loading normal model 17/30: model_17.pt
2026-07-26 19:21:50,754 - INFO - [Evaluate Regular Models (Validation)] Loading normal model 18/30: model_18.pt
2026-07-26 19:21:52,399 - INFO - [Evaluate Regular Models (Validation)] Loading normal model 19/30: model_19.pt
2026-07-26 19:21:54,050 - INFO - [Evaluate Regular Models (Validation)] Loading normal model 20/30: model_20.pt
2026-07-26 19:21:55,709 - INFO - [Evaluate Regular Models (Validation)] Loading normal model 21/30: model_21.pt
2026-07-26 19:21:57,349 - INFO - [Evaluate Regular Models (Validation)] Loading normal model 22/30: model_22.pt
2026-07-26 19:21:58,999 - INFO - [Evaluate Regular Models (Validation)] Loading normal model 23/30: model_23.pt
2026-07-26 19:22:00,649 - INFO - [Evaluate Regular Models (Validation)] Loading normal model 24/30: model_24.pt
2026-07-26 19:22:02,305 - INFO - [Evaluate Regular Models (Validation)] Loading normal model 25/30: model_25.pt
2026-07-26 19:22:03,957 - INFO - [Evaluate Regular Models (Validation)] Loading normal model 26/30: model_26.pt
2026-07-26 19:22:05,611 - INFO - [Evaluate Regular Models (Validation)] Loading normal model 27/30: model_27.pt
2026-07-26 19:22:07,244 - INFO - [Evaluate Regular Models (Validation)] Loading normal model 28/30: model_28.pt
2026-07-26 19:22:08,888 - INFO - [Evaluate Regular Models (Validation)] Loading normal model 29/30: model_29.pt
2026-07-26 19:22:10,533 - INFO - [Evaluate Regular Models (Validation)] Loading normal model 30/30: model_30.pt
2026-07-26 19:22:12,195 - INFO - [Evaluate Regular Models (Validation)] Saved normal val evaluation to outputs/exp1/evaluations/val_normal.nc (models=30, samples=149, noise_levels=1).
2026-07-26 19:22:12,196 - INFO - [Evaluate Regular Models (Validation)] Task completed.
2026-07-26 19:22:12,205 - INFO - [SYSTEM] Starting Task 6/10: Evaluate Bayesian Models (Validation)
2026-07-26 19:22:12,318 - INFO - [Evaluate Bayesian Models (Validation)] Evaluating 30 bayesian model(s) on 149 val samples, 1 noise level(s), 30 MC pass(es) each.
2026-07-26 19:22:12,326 - INFO - [Evaluate Bayesian Models (Validation)] Loading bayesian model 1/30: model_1.pt
2026-07-26 19:22:56,832 - INFO - [Evaluate Bayesian Models (Validation)] Loading bayesian model 2/30: model_2.pt
2026-07-26 19:23:44,487 - INFO - [Evaluate Bayesian Models (Validation)] Loading bayesian model 3/30: model_3.pt
2026-07-26 19:36:39,616 - ERROR - [SYSTEM] Stop requested! Terminating gracefully...
2026-07-26 19:36:39,930 - ERROR - [SYSTEM] STOPPED: Pipeline execution stopped by user.
2026-07-26 19:38:26,304 - INFO - [SYSTEM] Application initialized and ready.
2026-07-26 19:38:26,305 - INFO - [SYSTEM] Successfully loaded config from ./outputs/exp1/config.toml
2026-07-26 19:38:32,149 - INFO - [SYSTEM] Initiating Scenario: 2. Load, Evaluate (test+val), Noise, & Analyze
2026-07-26 19:38:32,163 - INFO - [SYSTEM] Starting Task 1/10: Load Image and ADNIMERGE
2026-07-26 19:38:32,307 - INFO - [Load Image and ADNIMERGE] Seeded RNGs with base seed 42
2026-07-26 19:38:32,311 - INFO - [Load Image and ADNIMERGE] Loading Files
2026-07-26 19:38:36,636 - INFO - [Load Image and ADNIMERGE] Dataloaders initalized
2026-07-26 19:38:36,637 - INFO - [Load Image and ADNIMERGE] Task completed.
2026-07-26 19:38:36,643 - INFO - [SYSTEM] Starting Task 2/10: Load Saved Models
2026-07-26 19:38:36,645 - INFO - [Load Saved Models] Found 30 normal model(s) in normal_models/.
2026-07-26 19:38:36,646 - INFO - [Load Saved Models] Found 30 bayesian model(s) in bayesian_models/.
2026-07-26 19:38:36,647 - INFO - [Load Saved Models] Task completed.
2026-07-26 19:38:36,648 - INFO - [SYSTEM] Starting Task 3/10: Evaluate Regular Models
2026-07-26 19:38:36,919 - INFO - [Evaluate Regular Models] Evaluating 30 normal model(s) on 97 test samples, 1 noise level(s), 1 MC pass(es) each.
2026-07-26 19:38:36,926 - INFO - [Evaluate Regular Models] Loading normal model 1/30: model_1.pt
2026-07-26 19:38:38,362 - INFO - [Evaluate Regular Models] Loading normal model 2/30: model_2.pt
2026-07-26 19:38:39,580 - INFO - [Evaluate Regular Models] Loading normal model 3/30: model_3.pt
2026-07-26 19:38:40,778 - INFO - [Evaluate Regular Models] Loading normal model 4/30: model_4.pt
2026-07-26 19:38:41,971 - INFO - [Evaluate Regular Models] Loading normal model 5/30: model_5.pt
2026-07-26 19:38:43,151 - INFO - [Evaluate Regular Models] Loading normal model 6/30: model_6.pt
2026-07-26 19:38:44,350 - INFO - [Evaluate Regular Models] Loading normal model 7/30: model_7.pt
2026-07-26 19:38:45,555 - INFO - [Evaluate Regular Models] Loading normal model 8/30: model_8.pt
2026-07-26 19:38:46,752 - INFO - [Evaluate Regular Models] Loading normal model 9/30: model_9.pt
2026-07-26 19:38:47,954 - INFO - [Evaluate Regular Models] Loading normal model 10/30: model_10.pt
2026-07-26 19:38:49,140 - INFO - [Evaluate Regular Models] Loading normal model 11/30: model_11.pt
2026-07-26 19:38:50,334 - INFO - [Evaluate Regular Models] Loading normal model 12/30: model_12.pt
2026-07-26 19:38:51,524 - INFO - [Evaluate Regular Models] Loading normal model 13/30: model_13.pt
2026-07-26 19:38:52,718 - INFO - [Evaluate Regular Models] Loading normal model 14/30: model_14.pt
2026-07-26 19:38:53,920 - INFO - [Evaluate Regular Models] Loading normal model 15/30: model_15.pt
2026-07-26 19:38:55,118 - INFO - [Evaluate Regular Models] Loading normal model 16/30: model_16.pt
2026-07-26 19:38:56,320 - INFO - [Evaluate Regular Models] Loading normal model 17/30: model_17.pt
2026-07-26 19:38:57,517 - INFO - [Evaluate Regular Models] Loading normal model 18/30: model_18.pt
2026-07-26 19:38:58,710 - INFO - [Evaluate Regular Models] Loading normal model 19/30: model_19.pt
2026-07-26 19:38:59,910 - INFO - [Evaluate Regular Models] Loading normal model 20/30: model_20.pt
2026-07-26 19:39:01,102 - INFO - [Evaluate Regular Models] Loading normal model 21/30: model_21.pt
2026-07-26 19:39:02,296 - INFO - [Evaluate Regular Models] Loading normal model 22/30: model_22.pt
2026-07-26 19:39:03,497 - INFO - [Evaluate Regular Models] Loading normal model 23/30: model_23.pt
2026-07-26 19:39:04,707 - INFO - [Evaluate Regular Models] Loading normal model 24/30: model_24.pt
2026-07-26 19:39:05,902 - INFO - [Evaluate Regular Models] Loading normal model 25/30: model_25.pt
2026-07-26 19:39:07,108 - INFO - [Evaluate Regular Models] Loading normal model 26/30: model_26.pt
2026-07-26 19:39:08,312 - INFO - [Evaluate Regular Models] Loading normal model 27/30: model_27.pt
2026-07-26 19:39:09,510 - INFO - [Evaluate Regular Models] Loading normal model 28/30: model_28.pt
2026-07-26 19:39:10,702 - INFO - [Evaluate Regular Models] Loading normal model 29/30: model_29.pt
2026-07-26 19:39:11,904 - INFO - [Evaluate Regular Models] Loading normal model 30/30: model_30.pt
2026-07-26 19:39:13,119 - INFO - [Evaluate Regular Models] Saved normal test evaluation to outputs/exp1/evaluations/normal.nc (models=30, samples=97, noise_levels=1).
2026-07-26 19:39:13,120 - INFO - [Evaluate Regular Models] Task completed.
2026-07-26 19:39:13,121 - INFO - [SYSTEM] Starting Task 4/10: Evaluate Bayesian Models
2026-07-26 19:39:13,200 - INFO - [Evaluate Bayesian Models] Evaluating 30 bayesian model(s) on 97 test samples, 1 noise level(s), 20 MC pass(es) each.
2026-07-26 19:39:13,208 - INFO - [Evaluate Bayesian Models] Loading bayesian model 1/30: model_1.pt
2026-07-26 19:39:32,654 - INFO - [Evaluate Bayesian Models] Loading bayesian model 2/30: model_2.pt
2026-07-26 19:39:52,160 - INFO - [Evaluate Bayesian Models] Loading bayesian model 3/30: model_3.pt
2026-07-26 19:40:11,703 - INFO - [Evaluate Bayesian Models] Loading bayesian model 4/30: model_4.pt
2026-07-26 19:40:31,162 - INFO - [Evaluate Bayesian Models] Loading bayesian model 5/30: model_5.pt
2026-07-26 19:40:50,650 - INFO - [Evaluate Bayesian Models] Loading bayesian model 6/30: model_6.pt
2026-07-26 19:41:10,087 - INFO - [Evaluate Bayesian Models] Loading bayesian model 7/30: model_7.pt
2026-07-26 19:41:29,551 - INFO - [Evaluate Bayesian Models] Loading bayesian model 8/30: model_8.pt
2026-07-26 19:41:49,042 - INFO - [Evaluate Bayesian Models] Loading bayesian model 9/30: model_9.pt
2026-07-26 19:42:08,547 - INFO - [Evaluate Bayesian Models] Loading bayesian model 10/30: model_10.pt
2026-07-26 19:42:28,069 - INFO - [Evaluate Bayesian Models] Loading bayesian model 11/30: model_11.pt
2026-07-26 19:42:47,656 - INFO - [Evaluate Bayesian Models] Loading bayesian model 12/30: model_12.pt
2026-07-26 19:43:07,207 - INFO - [Evaluate Bayesian Models] Loading bayesian model 13/30: model_13.pt
2026-07-26 19:43:26,738 - INFO - [Evaluate Bayesian Models] Loading bayesian model 14/30: model_14.pt
2026-07-26 19:43:46,257 - INFO - [Evaluate Bayesian Models] Loading bayesian model 15/30: model_15.pt
2026-07-26 19:44:05,766 - INFO - [Evaluate Bayesian Models] Loading bayesian model 16/30: model_16.pt
2026-07-26 19:44:25,258 - INFO - [Evaluate Bayesian Models] Loading bayesian model 17/30: model_17.pt
2026-07-26 19:44:44,751 - INFO - [Evaluate Bayesian Models] Loading bayesian model 18/30: model_18.pt
2026-07-26 19:45:04,257 - INFO - [Evaluate Bayesian Models] Loading bayesian model 19/30: model_19.pt
2026-07-26 19:45:23,755 - INFO - [Evaluate Bayesian Models] Loading bayesian model 20/30: model_20.pt
2026-07-26 19:45:43,267 - INFO - [Evaluate Bayesian Models] Loading bayesian model 21/30: model_21.pt
2026-07-26 19:46:02,794 - INFO - [Evaluate Bayesian Models] Loading bayesian model 22/30: model_22.pt
2026-07-26 19:46:22,251 - INFO - [Evaluate Bayesian Models] Loading bayesian model 23/30: model_23.pt
2026-07-26 19:46:41,741 - INFO - [Evaluate Bayesian Models] Loading bayesian model 24/30: model_24.pt
2026-07-26 19:47:01,218 - INFO - [Evaluate Bayesian Models] Loading bayesian model 25/30: model_25.pt
2026-07-26 19:47:20,707 - INFO - [Evaluate Bayesian Models] Loading bayesian model 26/30: model_26.pt
2026-07-26 19:47:40,151 - INFO - [Evaluate Bayesian Models] Loading bayesian model 27/30: model_27.pt
2026-07-26 19:47:59,609 - INFO - [Evaluate Bayesian Models] Loading bayesian model 28/30: model_28.pt
2026-07-26 19:48:19,085 - INFO - [Evaluate Bayesian Models] Loading bayesian model 29/30: model_29.pt
2026-07-26 19:48:38,609 - INFO - [Evaluate Bayesian Models] Loading bayesian model 30/30: model_30.pt
2026-07-26 19:48:58,670 - INFO - [Evaluate Bayesian Models] Saved bayesian test evaluation to outputs/exp1/evaluations/bayesian.nc (models=30, samples=97, noise_levels=1).
2026-07-26 19:48:58,674 - INFO - [Evaluate Bayesian Models] Task completed.
2026-07-26 19:48:58,676 - INFO - [SYSTEM] Starting Task 5/10: Evaluate Regular Models (Validation)
2026-07-26 19:48:58,791 - INFO - [Evaluate Regular Models (Validation)] Evaluating 30 normal model(s) on 149 val samples, 1 noise level(s), 1 MC pass(es) each.
2026-07-26 19:48:58,798 - INFO - [Evaluate Regular Models (Validation)] Loading normal model 1/30: model_1.pt
2026-07-26 19:49:00,741 - INFO - [Evaluate Regular Models (Validation)] Loading normal model 2/30: model_2.pt
2026-07-26 19:49:02,506 - INFO - [Evaluate Regular Models (Validation)] Loading normal model 3/30: model_3.pt
2026-07-26 19:49:04,275 - INFO - [Evaluate Regular Models (Validation)] Loading normal model 4/30: model_4.pt
2026-07-26 19:49:06,051 - INFO - [Evaluate Regular Models (Validation)] Loading normal model 5/30: model_5.pt
2026-07-26 19:49:07,818 - INFO - [Evaluate Regular Models (Validation)] Loading normal model 6/30: model_6.pt
2026-07-26 19:49:09,590 - INFO - [Evaluate Regular Models (Validation)] Loading normal model 7/30: model_7.pt
2026-07-26 19:49:11,351 - INFO - [Evaluate Regular Models (Validation)] Loading normal model 8/30: model_8.pt
2026-07-26 19:49:13,113 - INFO - [Evaluate Regular Models (Validation)] Loading normal model 9/30: model_9.pt
2026-07-26 19:49:14,868 - INFO - [Evaluate Regular Models (Validation)] Loading normal model 10/30: model_10.pt
2026-07-26 19:49:16,639 - INFO - [Evaluate Regular Models (Validation)] Loading normal model 11/30: model_11.pt
2026-07-26 19:49:18,408 - INFO - [Evaluate Regular Models (Validation)] Loading normal model 12/30: model_12.pt
2026-07-26 19:49:20,175 - INFO - [Evaluate Regular Models (Validation)] Loading normal model 13/30: model_13.pt
2026-07-26 19:49:21,959 - INFO - [Evaluate Regular Models (Validation)] Loading normal model 14/30: model_14.pt
2026-07-26 19:49:23,721 - INFO - [Evaluate Regular Models (Validation)] Loading normal model 15/30: model_15.pt
2026-07-26 19:49:25,496 - INFO - [Evaluate Regular Models (Validation)] Loading normal model 16/30: model_16.pt
2026-07-26 19:49:27,261 - INFO - [Evaluate Regular Models (Validation)] Loading normal model 17/30: model_17.pt
2026-07-26 19:49:29,026 - INFO - [Evaluate Regular Models (Validation)] Loading normal model 18/30: model_18.pt
2026-07-26 19:49:30,792 - INFO - [Evaluate Regular Models (Validation)] Loading normal model 19/30: model_19.pt
2026-07-26 19:49:32,558 - INFO - [Evaluate Regular Models (Validation)] Loading normal model 20/30: model_20.pt
2026-07-26 19:49:34,321 - INFO - [Evaluate Regular Models (Validation)] Loading normal model 21/30: model_21.pt
2026-07-26 19:49:36,091 - INFO - [Evaluate Regular Models (Validation)] Loading normal model 22/30: model_22.pt
2026-07-26 19:49:37,854 - INFO - [Evaluate Regular Models (Validation)] Loading normal model 23/30: model_23.pt
2026-07-26 19:49:39,617 - INFO - [Evaluate Regular Models (Validation)] Loading normal model 24/30: model_24.pt
2026-07-26 19:49:41,388 - INFO - [Evaluate Regular Models (Validation)] Loading normal model 25/30: model_25.pt
2026-07-26 19:49:43,152 - INFO - [Evaluate Regular Models (Validation)] Loading normal model 26/30: model_26.pt
2026-07-26 19:49:44,922 - INFO - [Evaluate Regular Models (Validation)] Loading normal model 27/30: model_27.pt
2026-07-26 19:49:46,680 - INFO - [Evaluate Regular Models (Validation)] Loading normal model 28/30: model_28.pt
2026-07-26 19:49:48,447 - INFO - [Evaluate Regular Models (Validation)] Loading normal model 29/30: model_29.pt
2026-07-26 19:49:50,202 - INFO - [Evaluate Regular Models (Validation)] Loading normal model 30/30: model_30.pt
2026-07-26 19:49:51,988 - INFO - [Evaluate Regular Models (Validation)] Saved normal val evaluation to outputs/exp1/evaluations/val_normal.nc (models=30, samples=149, noise_levels=1).
2026-07-26 19:49:51,989 - INFO - [Evaluate Regular Models (Validation)] Task completed.
2026-07-26 19:49:51,991 - INFO - [SYSTEM] Starting Task 6/10: Evaluate Bayesian Models (Validation)
2026-07-26 19:49:52,112 - INFO - [Evaluate Bayesian Models (Validation)] Evaluating 30 bayesian model(s) on 149 val samples, 1 noise level(s), 20 MC pass(es) each.
2026-07-26 19:49:52,122 - INFO - [Evaluate Bayesian Models (Validation)] Loading bayesian model 1/30: model_1.pt
2026-07-26 20:09:01,077 - INFO - [SYSTEM] Application initialized and ready.
2026-07-26 20:09:01,078 - INFO - [SYSTEM] Successfully loaded config from ./outputs/exp1/config.toml
2026-07-26 20:09:10,133 - INFO - [SYSTEM] Initiating Scenario: 2. Load, Evaluate (test+val), Noise, & Analyze
2026-07-26 20:09:10,147 - INFO - [SYSTEM] Starting Task 1/10: Load Image and ADNIMERGE
2026-07-26 20:09:10,299 - INFO - [Load Image and ADNIMERGE] Seeded RNGs with base seed 42
2026-07-26 20:09:10,299 - INFO - [Load Image and ADNIMERGE] Loading Files
2026-07-26 20:09:13,745 - INFO - [Load Image and ADNIMERGE] Dataloaders initalized
2026-07-26 20:09:13,750 - INFO - [Load Image and ADNIMERGE] Task completed.
2026-07-26 20:09:13,752 - INFO - [SYSTEM] Starting Task 2/10: Load Saved Models
2026-07-26 20:09:13,753 - INFO - [Load Saved Models] Found 30 normal model(s) in normal_models/.
2026-07-26 20:09:13,754 - INFO - [Load Saved Models] Found 30 bayesian model(s) in bayesian_models/.
2026-07-26 20:09:13,755 - INFO - [Load Saved Models] Task completed.
2026-07-26 20:09:13,757 - INFO - [SYSTEM] Starting Task 3/10: Evaluate Regular Models
2026-07-26 20:09:14,021 - INFO - [Evaluate Regular Models] Evaluating 30 normal model(s) on 97 test samples, 1 noise level(s), 1 MC pass(es) each.
2026-07-26 20:09:14,028 - INFO - [Evaluate Regular Models] Loading normal model 1/30: model_1.pt
2026-07-26 20:09:15,384 - INFO - [Evaluate Regular Models] Loading normal model 2/30: model_2.pt
2026-07-26 20:09:16,597 - INFO - [Evaluate Regular Models] Loading normal model 3/30: model_3.pt
2026-07-26 20:09:17,829 - INFO - [Evaluate Regular Models] Loading normal model 4/30: model_4.pt
2026-07-26 20:09:19,047 - INFO - [Evaluate Regular Models] Loading normal model 5/30: model_5.pt
2026-07-26 20:09:20,255 - INFO - [Evaluate Regular Models] Loading normal model 6/30: model_6.pt
2026-07-26 20:09:21,471 - INFO - [Evaluate Regular Models] Loading normal model 7/30: model_7.pt
2026-07-26 20:09:22,697 - INFO - [Evaluate Regular Models] Loading normal model 8/30: model_8.pt
2026-07-26 20:09:23,905 - INFO - [Evaluate Regular Models] Loading normal model 9/30: model_9.pt
2026-07-26 20:09:25,126 - INFO - [Evaluate Regular Models] Loading normal model 10/30: model_10.pt
2026-07-26 20:09:26,338 - INFO - [Evaluate Regular Models] Loading normal model 11/30: model_11.pt
2026-07-26 20:09:27,570 - INFO - [Evaluate Regular Models] Loading normal model 12/30: model_12.pt
2026-07-26 20:09:28,783 - INFO - [Evaluate Regular Models] Loading normal model 13/30: model_13.pt
2026-07-26 20:09:30,001 - INFO - [Evaluate Regular Models] Loading normal model 14/30: model_14.pt
2026-07-26 20:09:31,203 - INFO - [Evaluate Regular Models] Loading normal model 15/30: model_15.pt
2026-07-26 20:09:32,409 - INFO - [Evaluate Regular Models] Loading normal model 16/30: model_16.pt
2026-07-26 20:09:33,609 - INFO - [Evaluate Regular Models] Loading normal model 17/30: model_17.pt
2026-07-26 20:09:34,809 - INFO - [Evaluate Regular Models] Loading normal model 18/30: model_18.pt
2026-07-26 20:09:36,016 - INFO - [Evaluate Regular Models] Loading normal model 19/30: model_19.pt
2026-07-26 20:09:37,209 - INFO - [Evaluate Regular Models] Loading normal model 20/30: model_20.pt
2026-07-26 20:09:38,393 - INFO - [Evaluate Regular Models] Loading normal model 21/30: model_21.pt
2026-07-26 20:09:39,579 - INFO - [Evaluate Regular Models] Loading normal model 22/30: model_22.pt
2026-07-26 20:09:40,778 - INFO - [Evaluate Regular Models] Loading normal model 23/30: model_23.pt
2026-07-26 20:09:41,995 - INFO - [Evaluate Regular Models] Loading normal model 24/30: model_24.pt
2026-07-26 20:09:43,182 - INFO - [Evaluate Regular Models] Loading normal model 25/30: model_25.pt
2026-07-26 20:09:44,375 - INFO - [Evaluate Regular Models] Loading normal model 26/30: model_26.pt
2026-07-26 20:09:45,566 - INFO - [Evaluate Regular Models] Loading normal model 27/30: model_27.pt
2026-07-26 20:09:46,754 - INFO - [Evaluate Regular Models] Loading normal model 28/30: model_28.pt
2026-07-26 20:09:47,929 - INFO - [Evaluate Regular Models] Loading normal model 29/30: model_29.pt
2026-07-26 20:09:49,135 - INFO - [Evaluate Regular Models] Loading normal model 30/30: model_30.pt
2026-07-26 20:09:50,356 - INFO - [Evaluate Regular Models] Saved normal test evaluation to outputs/exp1/evaluations/normal.nc (models=30, samples=97, noise_levels=1).
2026-07-26 20:09:50,361 - INFO - [Evaluate Regular Models] Task completed.
2026-07-26 20:09:50,363 - INFO - [SYSTEM] Starting Task 4/10: Evaluate Bayesian Models
2026-07-26 20:09:50,436 - INFO - [Evaluate Bayesian Models] Evaluating 30 bayesian model(s) on 97 test samples, 1 noise level(s), 20 MC pass(es) each.
2026-07-26 20:09:50,444 - INFO - [Evaluate Bayesian Models] Loading bayesian model 1/30: model_1.pt
2026-07-26 20:10:09,943 - INFO - [Evaluate Bayesian Models] Loading bayesian model 2/30: model_2.pt
2026-07-26 20:10:29,448 - INFO - [Evaluate Bayesian Models] Loading bayesian model 3/30: model_3.pt
2026-07-26 20:10:48,953 - INFO - [Evaluate Bayesian Models] Loading bayesian model 4/30: model_4.pt
2026-07-26 20:11:08,475 - INFO - [Evaluate Bayesian Models] Loading bayesian model 5/30: model_5.pt
2026-07-26 20:11:28,045 - INFO - [Evaluate Bayesian Models] Loading bayesian model 6/30: model_6.pt
2026-07-26 20:11:47,667 - INFO - [Evaluate Bayesian Models] Loading bayesian model 7/30: model_7.pt
2026-07-26 20:12:07,261 - INFO - [Evaluate Bayesian Models] Loading bayesian model 8/30: model_8.pt
2026-07-26 20:12:26,817 - INFO - [Evaluate Bayesian Models] Loading bayesian model 9/30: model_9.pt
2026-07-26 20:12:46,392 - INFO - [Evaluate Bayesian Models] Loading bayesian model 10/30: model_10.pt
2026-07-26 20:13:05,960 - INFO - [Evaluate Bayesian Models] Loading bayesian model 11/30: model_11.pt
2026-07-26 20:13:25,560 - INFO - [Evaluate Bayesian Models] Loading bayesian model 12/30: model_12.pt
2026-07-26 20:13:45,102 - INFO - [Evaluate Bayesian Models] Loading bayesian model 13/30: model_13.pt
2026-07-26 20:14:04,728 - INFO - [Evaluate Bayesian Models] Loading bayesian model 14/30: model_14.pt
2026-07-26 20:14:24,348 - INFO - [Evaluate Bayesian Models] Loading bayesian model 15/30: model_15.pt
2026-07-26 20:14:44,001 - INFO - [Evaluate Bayesian Models] Loading bayesian model 16/30: model_16.pt
2026-07-26 20:15:03,615 - INFO - [Evaluate Bayesian Models] Loading bayesian model 17/30: model_17.pt
2026-07-26 20:15:23,233 - INFO - [Evaluate Bayesian Models] Loading bayesian model 18/30: model_18.pt
2026-07-26 20:15:42,849 - INFO - [Evaluate Bayesian Models] Loading bayesian model 19/30: model_19.pt
2026-07-26 20:16:02,515 - INFO - [Evaluate Bayesian Models] Loading bayesian model 20/30: model_20.pt
2026-07-26 20:16:22,193 - INFO - [Evaluate Bayesian Models] Loading bayesian model 21/30: model_21.pt
2026-07-26 20:16:41,978 - INFO - [Evaluate Bayesian Models] Loading bayesian model 22/30: model_22.pt
2026-07-26 20:17:01,767 - INFO - [Evaluate Bayesian Models] Loading bayesian model 23/30: model_23.pt
2026-07-26 20:17:21,532 - INFO - [Evaluate Bayesian Models] Loading bayesian model 24/30: model_24.pt
2026-07-26 20:17:41,242 - INFO - [Evaluate Bayesian Models] Loading bayesian model 25/30: model_25.pt
2026-07-26 20:18:00,902 - INFO - [Evaluate Bayesian Models] Loading bayesian model 26/30: model_26.pt
2026-07-26 20:18:20,606 - INFO - [Evaluate Bayesian Models] Loading bayesian model 27/30: model_27.pt
2026-07-26 20:18:40,279 - INFO - [Evaluate Bayesian Models] Loading bayesian model 28/30: model_28.pt
2026-07-26 20:18:59,965 - INFO - [Evaluate Bayesian Models] Loading bayesian model 29/30: model_29.pt
2026-07-26 20:19:19,738 - INFO - [Evaluate Bayesian Models] Loading bayesian model 30/30: model_30.pt
2026-07-26 20:19:39,484 - INFO - [Evaluate Bayesian Models] Saved bayesian test evaluation to outputs/exp1/evaluations/bayesian.nc (models=30, samples=97, noise_levels=1).
2026-07-26 20:19:39,485 - INFO - [Evaluate Bayesian Models] Task completed.
2026-07-26 20:19:39,486 - INFO - [SYSTEM] Starting Task 5/10: Evaluate Regular Models (Validation)
2026-07-26 20:19:39,600 - INFO - [Evaluate Regular Models (Validation)] Evaluating 30 normal model(s) on 149 val samples, 1 noise level(s), 1 MC pass(es) each.
2026-07-26 20:19:39,607 - INFO - [Evaluate Regular Models (Validation)] Loading normal model 1/30: model_1.pt
2026-07-26 20:19:41,264 - INFO - [Evaluate Regular Models (Validation)] Loading normal model 2/30: model_2.pt
2026-07-26 20:19:42,920 - INFO - [Evaluate Regular Models (Validation)] Loading normal model 3/30: model_3.pt
2026-07-26 20:19:44,572 - INFO - [Evaluate Regular Models (Validation)] Loading normal model 4/30: model_4.pt
2026-07-26 20:19:46,234 - INFO - [Evaluate Regular Models (Validation)] Loading normal model 5/30: model_5.pt
2026-07-26 20:19:47,887 - INFO - [Evaluate Regular Models (Validation)] Loading normal model 6/30: model_6.pt
2026-07-26 20:19:49,537 - INFO - [Evaluate Regular Models (Validation)] Loading normal model 7/30: model_7.pt
2026-07-26 20:19:51,182 - INFO - [Evaluate Regular Models (Validation)] Loading normal model 8/30: model_8.pt
2026-07-26 20:19:52,835 - INFO - [Evaluate Regular Models (Validation)] Loading normal model 9/30: model_9.pt
2026-07-26 20:19:54,482 - INFO - [Evaluate Regular Models (Validation)] Loading normal model 10/30: model_10.pt
2026-07-26 20:19:56,136 - INFO - [Evaluate Regular Models (Validation)] Loading normal model 11/30: model_11.pt
2026-07-26 20:19:57,794 - INFO - [Evaluate Regular Models (Validation)] Loading normal model 12/30: model_12.pt
2026-07-26 20:19:59,443 - INFO - [Evaluate Regular Models (Validation)] Loading normal model 13/30: model_13.pt
2026-07-26 20:20:01,100 - INFO - [Evaluate Regular Models (Validation)] Loading normal model 14/30: model_14.pt
2026-07-26 20:20:02,748 - INFO - [Evaluate Regular Models (Validation)] Loading normal model 15/30: model_15.pt
2026-07-26 20:20:04,393 - INFO - [Evaluate Regular Models (Validation)] Loading normal model 16/30: model_16.pt
2026-07-26 20:20:06,050 - INFO - [Evaluate Regular Models (Validation)] Loading normal model 17/30: model_17.pt
2026-07-26 20:20:07,702 - INFO - [Evaluate Regular Models (Validation)] Loading normal model 18/30: model_18.pt
2026-07-26 20:20:09,347 - INFO - [Evaluate Regular Models (Validation)] Loading normal model 19/30: model_19.pt
2026-07-26 20:20:11,002 - INFO - [Evaluate Regular Models (Validation)] Loading normal model 20/30: model_20.pt
2026-07-26 20:20:12,652 - INFO - [Evaluate Regular Models (Validation)] Loading normal model 21/30: model_21.pt
2026-07-26 20:20:14,300 - INFO - [Evaluate Regular Models (Validation)] Loading normal model 22/30: model_22.pt
2026-07-26 20:20:15,947 - INFO - [Evaluate Regular Models (Validation)] Loading normal model 23/30: model_23.pt
2026-07-26 20:20:17,599 - INFO - [Evaluate Regular Models (Validation)] Loading normal model 24/30: model_24.pt
2026-07-26 20:20:19,255 - INFO - [Evaluate Regular Models (Validation)] Loading normal model 25/30: model_25.pt
2026-07-26 20:20:20,920 - INFO - [Evaluate Regular Models (Validation)] Loading normal model 26/30: model_26.pt
2026-07-26 20:20:22,565 - INFO - [Evaluate Regular Models (Validation)] Loading normal model 27/30: model_27.pt
2026-07-26 20:20:24,213 - INFO - [Evaluate Regular Models (Validation)] Loading normal model 28/30: model_28.pt
2026-07-26 20:20:25,866 - INFO - [Evaluate Regular Models (Validation)] Loading normal model 29/30: model_29.pt
2026-07-26 20:20:27,513 - INFO - [Evaluate Regular Models (Validation)] Loading normal model 30/30: model_30.pt
2026-07-26 20:20:29,180 - INFO - [Evaluate Regular Models (Validation)] Saved normal val evaluation to outputs/exp1/evaluations/val_normal.nc (models=30, samples=149, noise_levels=1).
2026-07-26 20:20:29,181 - INFO - [Evaluate Regular Models (Validation)] Task completed.
2026-07-26 20:20:29,183 - INFO - [SYSTEM] Starting Task 6/10: Evaluate Bayesian Models (Validation)
2026-07-26 20:20:29,310 - INFO - [Evaluate Bayesian Models (Validation)] Evaluating 30 bayesian model(s) on 149 val samples, 1 noise level(s), 20 MC pass(es) each.
2026-07-26 20:20:29,318 - INFO - [Evaluate Bayesian Models (Validation)] Loading bayesian model 1/30: model_1.pt
2026-07-26 20:20:58,893 - INFO - [Evaluate Bayesian Models (Validation)] Loading bayesian model 2/30: model_2.pt
2026-07-26 20:21:28,592 - INFO - [Evaluate Bayesian Models (Validation)] Loading bayesian model 3/30: model_3.pt
2026-07-26 20:21:58,338 - INFO - [Evaluate Bayesian Models (Validation)] Loading bayesian model 4/30: model_4.pt
2026-07-26 20:22:28,031 - INFO - [Evaluate Bayesian Models (Validation)] Loading bayesian model 5/30: model_5.pt
2026-07-26 20:22:57,765 - INFO - [Evaluate Bayesian Models (Validation)] Loading bayesian model 6/30: model_6.pt
2026-07-26 20:23:27,460 - INFO - [Evaluate Bayesian Models (Validation)] Loading bayesian model 7/30: model_7.pt
2026-07-26 20:23:57,211 - INFO - [Evaluate Bayesian Models (Validation)] Loading bayesian model 8/30: model_8.pt
2026-07-26 20:24:26,962 - INFO - [Evaluate Bayesian Models (Validation)] Loading bayesian model 9/30: model_9.pt
2026-07-26 20:24:56,680 - INFO - [Evaluate Bayesian Models (Validation)] Loading bayesian model 10/30: model_10.pt
2026-07-26 20:25:26,332 - INFO - [Evaluate Bayesian Models (Validation)] Loading bayesian model 11/30: model_11.pt
2026-07-26 20:25:56,002 - INFO - [Evaluate Bayesian Models (Validation)] Loading bayesian model 12/30: model_12.pt
2026-07-26 20:26:25,644 - INFO - [Evaluate Bayesian Models (Validation)] Loading bayesian model 13/30: model_13.pt
2026-07-26 20:26:55,361 - INFO - [Evaluate Bayesian Models (Validation)] Loading bayesian model 14/30: model_14.pt
2026-07-26 20:27:25,109 - INFO - [Evaluate Bayesian Models (Validation)] Loading bayesian model 15/30: model_15.pt
2026-07-26 20:27:54,829 - INFO - [Evaluate Bayesian Models (Validation)] Loading bayesian model 16/30: model_16.pt
2026-07-26 20:28:24,492 - INFO - [Evaluate Bayesian Models (Validation)] Loading bayesian model 17/30: model_17.pt
2026-07-26 20:28:54,143 - INFO - [Evaluate Bayesian Models (Validation)] Loading bayesian model 18/30: model_18.pt
2026-07-26 20:29:23,871 - INFO - [Evaluate Bayesian Models (Validation)] Loading bayesian model 19/30: model_19.pt
2026-07-26 20:29:53,536 - INFO - [Evaluate Bayesian Models (Validation)] Loading bayesian model 20/30: model_20.pt
2026-07-26 20:30:23,159 - INFO - [Evaluate Bayesian Models (Validation)] Loading bayesian model 21/30: model_21.pt
2026-07-26 20:30:52,809 - INFO - [Evaluate Bayesian Models (Validation)] Loading bayesian model 22/30: model_22.pt
2026-07-26 20:31:22,460 - INFO - [Evaluate Bayesian Models (Validation)] Loading bayesian model 23/30: model_23.pt
2026-07-26 20:31:52,100 - INFO - [Evaluate Bayesian Models (Validation)] Loading bayesian model 24/30: model_24.pt
2026-07-26 20:32:21,637 - INFO - [Evaluate Bayesian Models (Validation)] Loading bayesian model 25/30: model_25.pt
2026-07-26 20:32:51,255 - INFO - [Evaluate Bayesian Models (Validation)] Loading bayesian model 26/30: model_26.pt
2026-07-26 20:33:20,904 - INFO - [Evaluate Bayesian Models (Validation)] Loading bayesian model 27/30: model_27.pt
2026-07-26 20:33:50,542 - INFO - [Evaluate Bayesian Models (Validation)] Loading bayesian model 28/30: model_28.pt
2026-07-26 20:34:20,202 - INFO - [Evaluate Bayesian Models (Validation)] Loading bayesian model 29/30: model_29.pt
2026-07-26 20:34:49,853 - INFO - [Evaluate Bayesian Models (Validation)] Loading bayesian model 30/30: model_30.pt
2026-07-26 20:35:19,569 - INFO - [Evaluate Bayesian Models (Validation)] Saved bayesian val evaluation to outputs/exp1/evaluations/val_bayesian.nc (models=30, samples=149, noise_levels=1).
2026-07-26 20:35:19,570 - INFO - [Evaluate Bayesian Models (Validation)] Task completed.
2026-07-26 20:35:19,571 - INFO - [SYSTEM] Starting Task 7/10: Evaluate Models on Noised Data
2026-07-26 20:35:19,654 - INFO - [Evaluate Models on Noised Data] Evaluating 30 normal model(s) on 97 test samples, 13 noise level(s), 1 MC pass(es) each.
2026-07-26 20:35:19,662 - INFO - [Evaluate Models on Noised Data] Loading normal model 1/30: model_1.pt
2026-07-26 20:35:32,269 - INFO - [Evaluate Models on Noised Data] Loading normal model 2/30: model_2.pt
2026-07-26 20:35:44,897 - INFO - [Evaluate Models on Noised Data] Loading normal model 3/30: model_3.pt
2026-07-26 20:35:57,489 - INFO - [Evaluate Models on Noised Data] Loading normal model 4/30: model_4.pt
2026-07-26 20:36:10,127 - INFO - [Evaluate Models on Noised Data] Loading normal model 5/30: model_5.pt
2026-07-26 20:36:22,750 - INFO - [Evaluate Models on Noised Data] Loading normal model 6/30: model_6.pt
2026-07-26 20:36:35,343 - INFO - [Evaluate Models on Noised Data] Loading normal model 7/30: model_7.pt
2026-07-26 20:36:47,937 - INFO - [Evaluate Models on Noised Data] Loading normal model 8/30: model_8.pt
2026-07-26 20:37:00,570 - INFO - [Evaluate Models on Noised Data] Loading normal model 9/30: model_9.pt
2026-07-26 20:37:13,186 - INFO - [Evaluate Models on Noised Data] Loading normal model 10/30: model_10.pt
2026-07-26 20:37:25,784 - INFO - [Evaluate Models on Noised Data] Loading normal model 11/30: model_11.pt
2026-07-26 20:37:38,380 - INFO - [Evaluate Models on Noised Data] Loading normal model 12/30: model_12.pt
2026-07-26 20:37:50,979 - INFO - [Evaluate Models on Noised Data] Loading normal model 13/30: model_13.pt
2026-07-26 20:38:03,550 - INFO - [Evaluate Models on Noised Data] Loading normal model 14/30: model_14.pt
2026-07-26 20:38:16,148 - INFO - [Evaluate Models on Noised Data] Loading normal model 15/30: model_15.pt
2026-07-26 20:38:28,780 - INFO - [Evaluate Models on Noised Data] Loading normal model 16/30: model_16.pt
2026-07-26 20:38:41,380 - INFO - [Evaluate Models on Noised Data] Loading normal model 17/30: model_17.pt
2026-07-26 20:38:53,982 - INFO - [Evaluate Models on Noised Data] Loading normal model 18/30: model_18.pt
2026-07-26 20:39:06,605 - INFO - [Evaluate Models on Noised Data] Loading normal model 19/30: model_19.pt
2026-07-26 20:39:19,242 - INFO - [Evaluate Models on Noised Data] Loading normal model 20/30: model_20.pt
2026-07-26 20:39:31,911 - INFO - [Evaluate Models on Noised Data] Loading normal model 21/30: model_21.pt
2026-07-26 20:39:44,533 - INFO - [Evaluate Models on Noised Data] Loading normal model 22/30: model_22.pt
2026-07-26 20:39:57,166 - INFO - [Evaluate Models on Noised Data] Loading normal model 23/30: model_23.pt
2026-07-26 20:40:09,801 - INFO - [Evaluate Models on Noised Data] Loading normal model 24/30: model_24.pt
2026-07-26 20:40:22,415 - INFO - [Evaluate Models on Noised Data] Loading normal model 25/30: model_25.pt
2026-07-26 20:40:35,005 - INFO - [Evaluate Models on Noised Data] Loading normal model 26/30: model_26.pt
2026-07-26 20:40:47,598 - INFO - [Evaluate Models on Noised Data] Loading normal model 27/30: model_27.pt
2026-07-26 20:41:00,209 - INFO - [Evaluate Models on Noised Data] Loading normal model 28/30: model_28.pt
2026-07-26 20:41:12,814 - INFO - [Evaluate Models on Noised Data] Loading normal model 29/30: model_29.pt
2026-07-26 20:41:25,396 - INFO - [Evaluate Models on Noised Data] Loading normal model 30/30: model_30.pt
2026-07-26 20:41:38,032 - INFO - [Evaluate Models on Noised Data] Saved normal test evaluation to outputs/exp1/evaluations/noisy_normal.nc (models=30, samples=97, noise_levels=13).
2026-07-26 20:41:38,109 - INFO - [Evaluate Models on Noised Data] Evaluating 30 bayesian model(s) on 97 test samples, 13 noise level(s), 20 MC pass(es) each.
2026-07-26 20:41:38,116 - INFO - [Evaluate Models on Noised Data] Loading bayesian model 1/30: model_1.pt
2026-07-26 20:45:49,154 - INFO - [Evaluate Models on Noised Data] Loading bayesian model 2/30: model_2.pt
2026-07-26 20:50:00,058 - INFO - [Evaluate Models on Noised Data] Loading bayesian model 3/30: model_3.pt
2026-07-26 20:54:10,435 - INFO - [Evaluate Models on Noised Data] Loading bayesian model 4/30: model_4.pt
2026-07-26 20:58:20,922 - INFO - [Evaluate Models on Noised Data] Loading bayesian model 5/30: model_5.pt
2026-07-26 21:02:31,301 - INFO - [Evaluate Models on Noised Data] Loading bayesian model 6/30: model_6.pt
2026-07-26 21:06:41,600 - INFO - [Evaluate Models on Noised Data] Loading bayesian model 7/30: model_7.pt
2026-07-26 21:10:51,530 - INFO - [Evaluate Models on Noised Data] Loading bayesian model 8/30: model_8.pt
2026-07-26 21:15:01,340 - INFO - [Evaluate Models on Noised Data] Loading bayesian model 9/30: model_9.pt
2026-07-26 21:19:12,200 - INFO - [Evaluate Models on Noised Data] Loading bayesian model 10/30: model_10.pt
2026-07-26 21:23:22,781 - INFO - [Evaluate Models on Noised Data] Loading bayesian model 11/30: model_11.pt
2026-07-26 21:27:32,933 - INFO - [Evaluate Models on Noised Data] Loading bayesian model 12/30: model_12.pt
2026-07-26 21:28:41,293 - ERROR - Pipeline failed: App is not running
Traceback (most recent call last):
  File "/home/nschense/Documents/Medphys_Research/alnn_rewrite/main.py", line 326, in run_background_pipeline
    task_func(task_tracker, task_logger, config, pipeline_state)
    ~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/nschense/Documents/Medphys_Research/alnn_rewrite/tasks/evaluate.py", line 378, in evaluate_noisy_task
    _evaluate_noisy(track, log, config, state, SPLIT_TEST)
    ~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/nschense/Documents/Medphys_Research/alnn_rewrite/tasks/evaluate.py", line 347, in _evaluate_noisy
    _evaluate_ensemble(
    ~~~~~~~~~~~~~~~~~~^
        model_paths=paths,
        ^^^^^^^^^^^^^^^^^^
    ...<8 lines>...
        split=split,
        ^^^^^^^^^^^^
    )
    ^
  File "/home/nschense/Documents/Medphys_Research/alnn_rewrite/tasks/evaluate.py", line 225, in _evaluate_ensemble
    mc_probs = _run_mc_passes(
        model=model,
    ...<10 lines>...
        noise_relative=noise_relative,
    )
  File "/home/nschense/Documents/Medphys_Research/alnn_rewrite/tasks/evaluate.py", line 171, in _run_mc_passes
    batch_tracker.update(advance=1)
    ~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^
  File "/home/nschense/Documents/Medphys_Research/alnn_rewrite/util/progress.py", line 70, in update
    self.app.call_from_thread(_do_update)
    ~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^
  File "/home/nschense/Documents/Medphys_Research/alnn_rewrite/.venv/lib64/python3.14/site-packages/textual/app.py", line 1819, in call_from_thread
    raise RuntimeError("App is not running")
RuntimeError: App is not running
2026-07-26 21:28:41,294 - ERROR - [SYSTEM] ERROR: App is not running
2026-07-26 21:29:22,266 - INFO - [SYSTEM] Application initialized and ready.
2026-07-26 21:29:22,267 - INFO - [SYSTEM] Successfully loaded config from ./outputs/exp1/config.toml
2026-07-26 21:29:25,063 - INFO - [SYSTEM] Initiating Scenario: 2. Load, Evaluate (test+val), Noise, & Analyze
2026-07-26 21:29:25,077 - INFO - [SYSTEM] Starting Task 1/10: Load Image and ADNIMERGE
2026-07-26 21:29:25,215 - INFO - [Load Image and ADNIMERGE] Seeded RNGs with base seed 42
2026-07-26 21:29:25,216 - INFO - [Load Image and ADNIMERGE] Loading Files
2026-07-26 21:29:28,608 - INFO - [Load Image and ADNIMERGE] Dataloaders initalized
2026-07-26 21:29:28,619 - INFO - [Load Image and ADNIMERGE] Task completed.
2026-07-26 21:29:28,624 - INFO - [SYSTEM] Starting Task 2/10: Load Saved Models
2026-07-26 21:29:28,625 - INFO - [Load Saved Models] Found 30 normal model(s) in normal_models/.
2026-07-26 21:29:28,626 - INFO - [Load Saved Models] Found 30 bayesian model(s) in bayesian_models/.
2026-07-26 21:29:28,627 - INFO - [Load Saved Models] Task completed.
2026-07-26 21:29:28,628 - INFO - [SYSTEM] Starting Task 3/10: Evaluate Regular Models
2026-07-26 21:29:28,903 - INFO - [Evaluate Regular Models] Evaluating 30 normal model(s) on 97 test samples, 1 noise level(s), 1 MC pass(es) each.
2026-07-26 21:29:28,910 - INFO - [Evaluate Regular Models] Loading normal model 1/30: model_1.pt
2026-07-26 21:29:30,321 - INFO - [Evaluate Regular Models] Loading normal model 2/30: model_2.pt
2026-07-26 21:29:31,544 - INFO - [Evaluate Regular Models] Loading normal model 3/30: model_3.pt
2026-07-26 21:29:32,760 - INFO - [Evaluate Regular Models] Loading normal model 4/30: model_4.pt
2026-07-26 21:29:33,970 - INFO - [Evaluate Regular Models] Loading normal model 5/30: model_5.pt
2026-07-26 21:29:35,186 - INFO - [Evaluate Regular Models] Loading normal model 6/30: model_6.pt
2026-07-26 21:29:36,397 - INFO - [Evaluate Regular Models] Loading normal model 7/30: model_7.pt
2026-07-26 21:29:37,598 - INFO - [Evaluate Regular Models] Loading normal model 8/30: model_8.pt
2026-07-26 21:29:38,816 - INFO - [Evaluate Regular Models] Loading normal model 9/30: model_9.pt
2026-07-26 21:29:40,033 - INFO - [Evaluate Regular Models] Loading normal model 10/30: model_10.pt
2026-07-26 21:29:41,244 - INFO - [Evaluate Regular Models] Loading normal model 11/30: model_11.pt
2026-07-26 21:29:42,490 - INFO - [Evaluate Regular Models] Loading normal model 12/30: model_12.pt
2026-07-26 21:29:43,705 - INFO - [Evaluate Regular Models] Loading normal model 13/30: model_13.pt
2026-07-26 21:29:44,917 - INFO - [Evaluate Regular Models] Loading normal model 14/30: model_14.pt
2026-07-26 21:29:46,115 - INFO - [Evaluate Regular Models] Loading normal model 15/30: model_15.pt
2026-07-26 21:29:47,344 - INFO - [Evaluate Regular Models] Loading normal model 16/30: model_16.pt
2026-07-26 21:29:48,569 - INFO - [Evaluate Regular Models] Loading normal model 17/30: model_17.pt
2026-07-26 21:29:49,781 - INFO - [Evaluate Regular Models] Loading normal model 18/30: model_18.pt
2026-07-26 21:29:51,005 - INFO - [Evaluate Regular Models] Loading normal model 19/30: model_19.pt
2026-07-26 21:29:52,199 - INFO - [Evaluate Regular Models] Loading normal model 20/30: model_20.pt
2026-07-26 21:29:53,408 - INFO - [Evaluate Regular Models] Loading normal model 21/30: model_21.pt
2026-07-26 21:29:54,643 - INFO - [Evaluate Regular Models] Loading normal model 22/30: model_22.pt
2026-07-26 21:29:56,028 - INFO - [Evaluate Regular Models] Loading normal model 23/30: model_23.pt
2026-07-26 21:29:56,168 - ERROR - Pipeline failed: App is not running
Traceback (most recent call last):
  File "/home/nschense/Documents/Medphys_Research/alnn_rewrite/main.py", line 326, in run_background_pipeline
    task_func(task_tracker, task_logger, config, pipeline_state)
    ~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/nschense/Documents/Medphys_Research/alnn_rewrite/tasks/evaluate.py", line 368, in evaluate_normal_task
    _evaluate_clean(track, log, config, state, KIND_NORMAL, SPLIT_TEST)
    ~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/nschense/Documents/Medphys_Research/alnn_rewrite/tasks/evaluate.py", line 314, in _evaluate_clean
    _evaluate_ensemble(
    ~~~~~~~~~~~~~~~~~~^
        model_paths=paths,
        ^^^^^^^^^^^^^^^^^^
    ...<8 lines>...
        split=split,
        ^^^^^^^^^^^^
    )
    ^
  File "/home/nschense/Documents/Medphys_Research/alnn_rewrite/tasks/evaluate.py", line 225, in _evaluate_ensemble
    mc_probs = _run_mc_passes(
        model=model,
    ...<10 lines>...
        noise_relative=noise_relative,
    )
  File "/home/nschense/Documents/Medphys_Research/alnn_rewrite/tasks/evaluate.py", line 131, in _run_mc_passes
    pass_tracker = parent_tracker.get_sub_tracker(label)
  File "/home/nschense/Documents/Medphys_Research/alnn_rewrite/util/progress.py", line 28, in get_sub_tracker
    sub.set_title(title)
    ~~~~~~~~~~~~~^^^^^^^
  File "/home/nschense/Documents/Medphys_Research/alnn_rewrite/util/progress.py", line 38, in set_title
    self.app.call_from_thread(_update_title)
    ~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^
  File "/home/nschense/Documents/Medphys_Research/alnn_rewrite/.venv/lib64/python3.14/site-packages/textual/app.py", line 1819, in call_from_thread
    raise RuntimeError("App is not running")
RuntimeError: App is not running
2026-07-26 21:29:56,169 - ERROR - [SYSTEM] ERROR: App is not running
2026-07-26 21:30:03,892 - INFO - [SYSTEM] Application initialized and ready.
2026-07-26 21:30:03,893 - INFO - [SYSTEM] Successfully loaded config from ./outputs/exp1/config.toml
2026-07-26 21:30:09,149 - INFO - [SYSTEM] Initiating Scenario: 2. Load, Evaluate (test+val), Noise, & Analyze
2026-07-26 21:30:09,162 - INFO - [SYSTEM] Starting Task 1/10: Load Image and ADNIMERGE
2026-07-26 21:30:09,307 - INFO - [Load Image and ADNIMERGE] Seeded RNGs with base seed 42
2026-07-26 21:30:09,308 - INFO - [Load Image and ADNIMERGE] Loading Files
2026-07-26 21:30:12,642 - INFO - [Load Image and ADNIMERGE] Dataloaders initalized
2026-07-26 21:30:12,648 - INFO - [Load Image and ADNIMERGE] Task completed.
2026-07-26 21:30:12,650 - INFO - [SYSTEM] Starting Task 2/10: Load Saved Models
2026-07-26 21:30:12,651 - INFO - [Load Saved Models] Found 30 normal model(s) in normal_models/.
2026-07-26 21:30:12,653 - INFO - [Load Saved Models] Found 30 bayesian model(s) in bayesian_models/.
2026-07-26 21:30:12,653 - INFO - [Load Saved Models] Task completed.
2026-07-26 21:30:12,655 - INFO - [SYSTEM] Starting Task 3/10: Evaluate Regular Models
2026-07-26 21:30:12,932 - INFO - [Evaluate Regular Models] Evaluating 30 normal model(s) on 97 test samples, 1 noise level(s), 1 MC pass(es) each.
2026-07-26 21:30:12,939 - INFO - [Evaluate Regular Models] Loading normal model 1/30: model_1.pt
2026-07-26 21:30:14,364 - INFO - [Evaluate Regular Models] Loading normal model 2/30: model_2.pt
2026-07-26 21:30:15,575 - INFO - [Evaluate Regular Models] Loading normal model 3/30: model_3.pt
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2026-07-26 21:30:32,149 - INFO - [Evaluate Regular Models] Loading normal model 17/30: model_17.pt
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2026-07-26 21:30:39,262 - INFO - [Evaluate Regular Models] Loading normal model 23/30: model_23.pt
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2026-07-26 21:30:47,470 - INFO - [Evaluate Regular Models] Loading normal model 30/30: model_30.pt
2026-07-26 21:30:48,680 - INFO - [Evaluate Regular Models] Saved normal test evaluation to outputs/exp1/evaluations/normal.nc (models=30, samples=97, noise_levels=1).
2026-07-26 21:30:48,681 - INFO - [Evaluate Regular Models] Task completed.
2026-07-26 21:30:48,683 - INFO - [SYSTEM] Starting Task 4/10: Evaluate Bayesian Models
2026-07-26 21:30:48,762 - INFO - [Evaluate Bayesian Models] Evaluating 30 bayesian model(s) on 97 test samples, 1 noise level(s), 20 MC pass(es) each.
2026-07-26 21:30:48,770 - INFO - [Evaluate Bayesian Models] Loading bayesian model 1/30: model_1.pt
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2026-07-26 21:37:18,381 - INFO - [Evaluate Bayesian Models] Loading bayesian model 21/30: model_21.pt
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2026-07-26 21:40:13,563 - INFO - [Evaluate Bayesian Models] Loading bayesian model 30/30: model_30.pt
2026-07-26 21:40:33,116 - INFO - [Evaluate Bayesian Models] Saved bayesian test evaluation to outputs/exp1/evaluations/bayesian.nc (models=30, samples=97, noise_levels=1).
2026-07-26 21:40:33,117 - INFO - [Evaluate Bayesian Models] Task completed.
2026-07-26 21:40:33,119 - INFO - [SYSTEM] Starting Task 5/10: Evaluate Regular Models (Validation)
2026-07-26 21:40:33,226 - INFO - [Evaluate Regular Models (Validation)] Evaluating 30 normal model(s) on 149 val samples, 1 noise level(s), 1 MC pass(es) each.
2026-07-26 21:40:33,233 - INFO - [Evaluate Regular Models (Validation)] Loading normal model 1/30: model_1.pt
2026-07-26 21:40:34,882 - INFO - [Evaluate Regular Models (Validation)] Loading normal model 2/30: model_2.pt
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2026-07-26 21:41:22,416 - INFO - [Evaluate Regular Models (Validation)] Saved normal val evaluation to outputs/exp1/evaluations/val_normal.nc (models=30, samples=149, noise_levels=1).
2026-07-26 21:41:22,416 - INFO - [Evaluate Regular Models (Validation)] Task completed.
2026-07-26 21:41:22,418 - INFO - [SYSTEM] Starting Task 6/10: Evaluate Bayesian Models (Validation)
2026-07-26 21:41:22,535 - INFO - [Evaluate Bayesian Models (Validation)] Evaluating 30 bayesian model(s) on 149 val samples, 1 noise level(s), 20 MC pass(es) each.
2026-07-26 21:41:22,543 - INFO - [Evaluate Bayesian Models (Validation)] Loading bayesian model 1/30: model_1.pt
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2026-07-26 21:52:08,928 - INFO - [Evaluate Bayesian Models (Validation)] Loading bayesian model 23/30: model_23.pt
2026-07-26 21:52:38,412 - INFO - [Evaluate Bayesian Models (Validation)] Loading bayesian model 24/30: model_24.pt
2026-07-26 21:53:07,824 - INFO - [Evaluate Bayesian Models (Validation)] Loading bayesian model 25/30: model_25.pt
2026-07-26 21:53:37,228 - INFO - [Evaluate Bayesian Models (Validation)] Loading bayesian model 26/30: model_26.pt
2026-07-26 21:54:06,614 - INFO - [Evaluate Bayesian Models (Validation)] Loading bayesian model 27/30: model_27.pt
2026-07-26 21:54:36,019 - INFO - [Evaluate Bayesian Models (Validation)] Loading bayesian model 28/30: model_28.pt
2026-07-26 21:55:05,383 - INFO - [Evaluate Bayesian Models (Validation)] Loading bayesian model 29/30: model_29.pt
2026-07-26 21:55:34,728 - INFO - [Evaluate Bayesian Models (Validation)] Loading bayesian model 30/30: model_30.pt
2026-07-26 21:56:04,133 - INFO - [Evaluate Bayesian Models (Validation)] Saved bayesian val evaluation to outputs/exp1/evaluations/val_bayesian.nc (models=30, samples=149, noise_levels=1).
2026-07-26 21:56:04,134 - INFO - [Evaluate Bayesian Models (Validation)] Task completed.
2026-07-26 21:56:04,135 - INFO - [SYSTEM] Starting Task 7/10: Evaluate Models on Noised Data
2026-07-26 21:56:04,213 - INFO - [Evaluate Models on Noised Data] Evaluating 30 normal model(s) on 97 test samples, 13 noise level(s), 1 MC pass(es) each.
2026-07-26 21:56:04,221 - INFO - [Evaluate Models on Noised Data] Loading normal model 1/30: model_1.pt
2026-07-26 21:56:16,752 - INFO - [Evaluate Models on Noised Data] Loading normal model 2/30: model_2.pt
2026-07-26 21:56:29,265 - INFO - [Evaluate Models on Noised Data] Loading normal model 3/30: model_3.pt
2026-07-26 21:56:41,790 - INFO - [Evaluate Models on Noised Data] Loading normal model 4/30: model_4.pt
2026-07-26 21:56:54,333 - INFO - [Evaluate Models on Noised Data] Loading normal model 5/30: model_5.pt
2026-07-26 21:57:06,851 - INFO - [Evaluate Models on Noised Data] Loading normal model 6/30: model_6.pt
2026-07-26 21:57:19,390 - INFO - [Evaluate Models on Noised Data] Loading normal model 7/30: model_7.pt
2026-07-26 21:57:31,917 - INFO - [Evaluate Models on Noised Data] Loading normal model 8/30: model_8.pt
2026-07-26 21:57:44,433 - INFO - [Evaluate Models on Noised Data] Loading normal model 9/30: model_9.pt
2026-07-26 21:57:56,966 - INFO - [Evaluate Models on Noised Data] Loading normal model 10/30: model_10.pt
2026-07-26 21:58:09,480 - INFO - [Evaluate Models on Noised Data] Loading normal model 11/30: model_11.pt
2026-07-26 21:58:21,987 - INFO - [Evaluate Models on Noised Data] Loading normal model 12/30: model_12.pt
2026-07-26 21:58:34,507 - INFO - [Evaluate Models on Noised Data] Loading normal model 13/30: model_13.pt
2026-07-26 21:58:47,017 - INFO - [Evaluate Models on Noised Data] Loading normal model 14/30: model_14.pt
2026-07-26 21:58:59,540 - INFO - [Evaluate Models on Noised Data] Loading normal model 15/30: model_15.pt
2026-07-26 21:59:12,079 - INFO - [Evaluate Models on Noised Data] Loading normal model 16/30: model_16.pt
2026-07-26 21:59:24,599 - INFO - [Evaluate Models on Noised Data] Loading normal model 17/30: model_17.pt
2026-07-26 21:59:37,117 - INFO - [Evaluate Models on Noised Data] Loading normal model 18/30: model_18.pt
2026-07-26 21:59:49,625 - INFO - [Evaluate Models on Noised Data] Loading normal model 19/30: model_19.pt
2026-07-26 22:00:02,151 - INFO - [Evaluate Models on Noised Data] Loading normal model 20/30: model_20.pt
2026-07-26 22:00:14,666 - INFO - [Evaluate Models on Noised Data] Loading normal model 21/30: model_21.pt
2026-07-26 22:00:27,181 - INFO - [Evaluate Models on Noised Data] Loading normal model 22/30: model_22.pt
2026-07-26 22:00:39,694 - INFO - [Evaluate Models on Noised Data] Loading normal model 23/30: model_23.pt
2026-07-26 22:00:52,217 - INFO - [Evaluate Models on Noised Data] Loading normal model 24/30: model_24.pt
2026-07-26 22:01:04,701 - INFO - [Evaluate Models on Noised Data] Loading normal model 25/30: model_25.pt
2026-07-26 22:01:17,216 - INFO - [Evaluate Models on Noised Data] Loading normal model 26/30: model_26.pt
2026-07-26 22:01:29,749 - INFO - [Evaluate Models on Noised Data] Loading normal model 27/30: model_27.pt
2026-07-26 22:01:42,287 - INFO - [Evaluate Models on Noised Data] Loading normal model 28/30: model_28.pt
2026-07-26 22:01:54,820 - INFO - [Evaluate Models on Noised Data] Loading normal model 29/30: model_29.pt
2026-07-26 22:02:07,392 - INFO - [Evaluate Models on Noised Data] Loading normal model 30/30: model_30.pt
2026-07-26 22:02:19,929 - INFO - [Evaluate Models on Noised Data] Saved normal test evaluation to outputs/exp1/evaluations/noisy_normal.nc (models=30, samples=97, noise_levels=13).
2026-07-26 22:02:20,004 - INFO - [Evaluate Models on Noised Data] Evaluating 30 bayesian model(s) on 97 test samples, 13 noise level(s), 20 MC pass(es) each.
2026-07-26 22:02:20,011 - INFO - [Evaluate Models on Noised Data] Loading bayesian model 1/30: model_1.pt
2026-07-26 22:06:28,700 - INFO - [Evaluate Models on Noised Data] Loading bayesian model 2/30: model_2.pt
2026-07-26 22:10:37,088 - INFO - [Evaluate Models on Noised Data] Loading bayesian model 3/30: model_3.pt
2026-07-26 22:14:45,447 - INFO - [Evaluate Models on Noised Data] Loading bayesian model 4/30: model_4.pt
2026-07-26 22:18:54,005 - INFO - [Evaluate Models on Noised Data] Loading bayesian model 5/30: model_5.pt
2026-07-26 22:23:02,465 - INFO - [Evaluate Models on Noised Data] Loading bayesian model 6/30: model_6.pt
2026-07-26 22:27:11,601 - INFO - [Evaluate Models on Noised Data] Loading bayesian model 7/30: model_7.pt
2026-07-26 22:31:20,867 - INFO - [Evaluate Models on Noised Data] Loading bayesian model 8/30: model_8.pt
2026-07-26 22:35:30,599 - INFO - [Evaluate Models on Noised Data] Loading bayesian model 9/30: model_9.pt
2026-07-26 22:39:40,346 - INFO - [Evaluate Models on Noised Data] Loading bayesian model 10/30: model_10.pt
2026-07-26 22:43:49,483 - INFO - [Evaluate Models on Noised Data] Loading bayesian model 11/30: model_11.pt
2026-07-26 22:47:58,410 - INFO - [Evaluate Models on Noised Data] Loading bayesian model 12/30: model_12.pt
2026-07-26 22:52:07,309 - INFO - [Evaluate Models on Noised Data] Loading bayesian model 13/30: model_13.pt
2026-07-26 22:56:16,703 - INFO - [Evaluate Models on Noised Data] Loading bayesian model 14/30: model_14.pt
2026-07-26 23:00:26,279 - INFO - [Evaluate Models on Noised Data] Loading bayesian model 15/30: model_15.pt
2026-07-26 23:04:36,108 - INFO - [Evaluate Models on Noised Data] Loading bayesian model 16/30: model_16.pt
2026-07-26 23:08:45,318 - INFO - [Evaluate Models on Noised Data] Loading bayesian model 17/30: model_17.pt
2026-07-26 23:12:54,852 - INFO - [Evaluate Models on Noised Data] Loading bayesian model 18/30: model_18.pt
2026-07-26 23:17:04,563 - INFO - [Evaluate Models on Noised Data] Loading bayesian model 19/30: model_19.pt
2026-07-26 23:21:14,581 - INFO - [Evaluate Models on Noised Data] Loading bayesian model 20/30: model_20.pt
2026-07-26 23:25:24,641 - INFO - [Evaluate Models on Noised Data] Loading bayesian model 21/30: model_21.pt
2026-07-26 23:29:34,434 - INFO - [Evaluate Models on Noised Data] Loading bayesian model 22/30: model_22.pt
2026-07-26 23:33:44,269 - INFO - [Evaluate Models on Noised Data] Loading bayesian model 23/30: model_23.pt
2026-07-26 23:37:53,862 - INFO - [Evaluate Models on Noised Data] Loading bayesian model 24/30: model_24.pt
2026-07-26 23:42:03,032 - INFO - [Evaluate Models on Noised Data] Loading bayesian model 25/30: model_25.pt
2026-07-26 23:46:12,283 - INFO - [Evaluate Models on Noised Data] Loading bayesian model 26/30: model_26.pt
2026-07-26 23:50:21,331 - INFO - [Evaluate Models on Noised Data] Loading bayesian model 27/30: model_27.pt
2026-07-26 23:54:30,682 - INFO - [Evaluate Models on Noised Data] Loading bayesian model 28/30: model_28.pt
2026-07-26 23:58:39,998 - INFO - [Evaluate Models on Noised Data] Loading bayesian model 29/30: model_29.pt
2026-07-27 00:02:49,246 - INFO - [Evaluate Models on Noised Data] Loading bayesian model 30/30: model_30.pt
2026-07-27 00:06:58,432 - INFO - [Evaluate Models on Noised Data] Saved bayesian test evaluation to outputs/exp1/evaluations/noisy_bayesian.nc (models=30, samples=97, noise_levels=13).
2026-07-27 00:06:58,433 - INFO - [Evaluate Models on Noised Data] Task completed.
2026-07-27 00:06:58,435 - INFO - [SYSTEM] Starting Task 8/10: Evaluate Models on Noised Data (Validation)
2026-07-27 00:06:58,541 - INFO - [Evaluate Models on Noised Data (Validation)] Evaluating 30 normal model(s) on 149 val samples, 13 noise level(s), 1 MC pass(es) each.
2026-07-27 00:06:58,550 - INFO - [Evaluate Models on Noised Data (Validation)] Loading normal model 1/30: model_1.pt
2026-07-27 00:07:17,570 - INFO - [Evaluate Models on Noised Data (Validation)] Loading normal model 2/30: model_2.pt
2026-07-27 00:07:36,569 - INFO - [Evaluate Models on Noised Data (Validation)] Loading normal model 3/30: model_3.pt
2026-07-27 00:07:55,540 - INFO - [Evaluate Models on Noised Data (Validation)] Loading normal model 4/30: model_4.pt
2026-07-27 00:08:14,550 - INFO - [Evaluate Models on Noised Data (Validation)] Loading normal model 5/30: model_5.pt
2026-07-27 00:08:33,559 - INFO - [Evaluate Models on Noised Data (Validation)] Loading normal model 6/30: model_6.pt
2026-07-27 00:08:52,549 - INFO - [Evaluate Models on Noised Data (Validation)] Loading normal model 7/30: model_7.pt
2026-07-27 00:09:11,549 - INFO - [Evaluate Models on Noised Data (Validation)] Loading normal model 8/30: model_8.pt
2026-07-27 00:09:30,582 - INFO - [Evaluate Models on Noised Data (Validation)] Loading normal model 9/30: model_9.pt
2026-07-27 00:09:49,518 - INFO - [Evaluate Models on Noised Data (Validation)] Loading normal model 10/30: model_10.pt
2026-07-27 00:10:08,470 - INFO - [Evaluate Models on Noised Data (Validation)] Loading normal model 11/30: model_11.pt
2026-07-27 00:10:27,459 - INFO - [Evaluate Models on Noised Data (Validation)] Loading normal model 12/30: model_12.pt
2026-07-27 00:10:46,450 - INFO - [Evaluate Models on Noised Data (Validation)] Loading normal model 13/30: model_13.pt
2026-07-27 00:11:05,434 - INFO - [Evaluate Models on Noised Data (Validation)] Loading normal model 14/30: model_14.pt
2026-07-27 00:11:24,413 - INFO - [Evaluate Models on Noised Data (Validation)] Loading normal model 15/30: model_15.pt
2026-07-27 00:11:43,391 - INFO - [Evaluate Models on Noised Data (Validation)] Loading normal model 16/30: model_16.pt
2026-07-27 00:12:02,353 - INFO - [Evaluate Models on Noised Data (Validation)] Loading normal model 17/30: model_17.pt
2026-07-27 00:12:21,362 - INFO - [Evaluate Models on Noised Data (Validation)] Loading normal model 18/30: model_18.pt
2026-07-27 00:12:40,346 - INFO - [Evaluate Models on Noised Data (Validation)] Loading normal model 19/30: model_19.pt
2026-07-27 00:12:59,316 - INFO - [Evaluate Models on Noised Data (Validation)] Loading normal model 20/30: model_20.pt
2026-07-27 00:13:18,266 - INFO - [Evaluate Models on Noised Data (Validation)] Loading normal model 21/30: model_21.pt
2026-07-27 00:13:37,229 - INFO - [Evaluate Models on Noised Data (Validation)] Loading normal model 22/30: model_22.pt
2026-07-27 00:13:56,199 - INFO - [Evaluate Models on Noised Data (Validation)] Loading normal model 23/30: model_23.pt
2026-07-27 00:14:15,130 - INFO - [Evaluate Models on Noised Data (Validation)] Loading normal model 24/30: model_24.pt
2026-07-27 00:14:34,133 - INFO - [Evaluate Models on Noised Data (Validation)] Loading normal model 25/30: model_25.pt
2026-07-27 00:14:53,068 - INFO - [Evaluate Models on Noised Data (Validation)] Loading normal model 26/30: model_26.pt
2026-07-27 00:15:11,992 - INFO - [Evaluate Models on Noised Data (Validation)] Loading normal model 27/30: model_27.pt
2026-07-27 00:15:30,963 - INFO - [Evaluate Models on Noised Data (Validation)] Loading normal model 28/30: model_28.pt
2026-07-27 00:15:49,966 - INFO - [Evaluate Models on Noised Data (Validation)] Loading normal model 29/30: model_29.pt
2026-07-27 00:16:08,911 - INFO - [Evaluate Models on Noised Data (Validation)] Loading normal model 30/30: model_30.pt
2026-07-27 00:16:27,928 - INFO - [Evaluate Models on Noised Data (Validation)] Saved normal val evaluation to outputs/exp1/evaluations/val_noisy_normal.nc (models=30, samples=149, noise_levels=13).
2026-07-27 00:16:28,034 - INFO - [Evaluate Models on Noised Data (Validation)] Evaluating 30 bayesian model(s) on 149 val samples, 13 noise level(s), 20 MC pass(es) each.
2026-07-27 00:16:28,041 - INFO - [Evaluate Models on Noised Data (Validation)] Loading bayesian model 1/30: model_1.pt
2026-07-27 00:22:45,767 - INFO - [Evaluate Models on Noised Data (Validation)] Loading bayesian model 2/30: model_2.pt
2026-07-27 00:29:03,466 - INFO - [Evaluate Models on Noised Data (Validation)] Loading bayesian model 3/30: model_3.pt
2026-07-27 00:35:21,431 - INFO - [Evaluate Models on Noised Data (Validation)] Loading bayesian model 4/30: model_4.pt
2026-07-27 00:41:39,274 - INFO - [Evaluate Models on Noised Data (Validation)] Loading bayesian model 5/30: model_5.pt
2026-07-27 00:47:57,182 - INFO - [Evaluate Models on Noised Data (Validation)] Loading bayesian model 6/30: model_6.pt
2026-07-27 00:54:14,917 - INFO - [Evaluate Models on Noised Data (Validation)] Loading bayesian model 7/30: model_7.pt
2026-07-27 01:00:32,270 - INFO - [Evaluate Models on Noised Data (Validation)] Loading bayesian model 8/30: model_8.pt
2026-07-27 01:06:50,205 - INFO - [Evaluate Models on Noised Data (Validation)] Loading bayesian model 9/30: model_9.pt
2026-07-27 01:13:07,953 - INFO - [Evaluate Models on Noised Data (Validation)] Loading bayesian model 10/30: model_10.pt
2026-07-27 01:19:26,249 - INFO - [Evaluate Models on Noised Data (Validation)] Loading bayesian model 11/30: model_11.pt
2026-07-27 01:25:44,385 - INFO - [Evaluate Models on Noised Data (Validation)] Loading bayesian model 12/30: model_12.pt
2026-07-27 01:32:02,203 - INFO - [Evaluate Models on Noised Data (Validation)] Loading bayesian model 13/30: model_13.pt
2026-07-27 01:38:19,974 - INFO - [Evaluate Models on Noised Data (Validation)] Loading bayesian model 14/30: model_14.pt
2026-07-27 01:44:37,705 - INFO - [Evaluate Models on Noised Data (Validation)] Loading bayesian model 15/30: model_15.pt
2026-07-27 01:50:55,216 - INFO - [Evaluate Models on Noised Data (Validation)] Loading bayesian model 16/30: model_16.pt
2026-07-27 01:57:12,992 - INFO - [Evaluate Models on Noised Data (Validation)] Loading bayesian model 17/30: model_17.pt
2026-07-27 02:03:30,447 - INFO - [Evaluate Models on Noised Data (Validation)] Loading bayesian model 18/30: model_18.pt
2026-07-27 02:09:47,766 - INFO - [Evaluate Models on Noised Data (Validation)] Loading bayesian model 19/30: model_19.pt
2026-07-27 02:16:05,146 - INFO - [Evaluate Models on Noised Data (Validation)] Loading bayesian model 20/30: model_20.pt
2026-07-27 02:22:22,880 - INFO - [Evaluate Models on Noised Data (Validation)] Loading bayesian model 21/30: model_21.pt
2026-07-27 02:28:40,602 - INFO - [Evaluate Models on Noised Data (Validation)] Loading bayesian model 22/30: model_22.pt
2026-07-27 02:34:58,419 - INFO - [Evaluate Models on Noised Data (Validation)] Loading bayesian model 23/30: model_23.pt
2026-07-27 02:41:16,000 - INFO - [Evaluate Models on Noised Data (Validation)] Loading bayesian model 24/30: model_24.pt
2026-07-27 02:47:33,565 - INFO - [Evaluate Models on Noised Data (Validation)] Loading bayesian model 25/30: model_25.pt
2026-07-27 02:53:51,021 - INFO - [Evaluate Models on Noised Data (Validation)] Loading bayesian model 26/30: model_26.pt
2026-07-27 03:00:08,667 - INFO - [Evaluate Models on Noised Data (Validation)] Loading bayesian model 27/30: model_27.pt
2026-07-27 03:06:26,116 - INFO - [Evaluate Models on Noised Data (Validation)] Loading bayesian model 28/30: model_28.pt
2026-07-27 03:12:43,714 - INFO - [Evaluate Models on Noised Data (Validation)] Loading bayesian model 29/30: model_29.pt
2026-07-27 03:19:01,400 - INFO - [Evaluate Models on Noised Data (Validation)] Loading bayesian model 30/30: model_30.pt
2026-07-27 03:25:18,763 - INFO - [Evaluate Models on Noised Data (Validation)] Saved bayesian val evaluation to outputs/exp1/evaluations/val_noisy_bayesian.nc (models=30, samples=149, noise_levels=13).
2026-07-27 03:25:18,765 - INFO - [Evaluate Models on Noised Data (Validation)] Task completed.
2026-07-27 03:25:18,766 - INFO - [SYSTEM] Starting Task 9/10: Combine Split Evaluations
2026-07-27 03:25:18,802 - INFO - [Combine Split Evaluations] combine_evaluations: wrote combined_normal.nc (246 samples from normal.nc, val_normal.nc).
2026-07-27 03:25:18,841 - INFO - [Combine Split Evaluations] combine_evaluations: wrote combined_noisy_normal.nc (246 samples from noisy_normal.nc, val_noisy_normal.nc).
2026-07-27 03:25:18,867 - INFO - [Combine Split Evaluations] combine_evaluations: wrote combined_bayesian.nc (246 samples from bayesian.nc, val_bayesian.nc).
2026-07-27 03:25:18,903 - INFO - [Combine Split Evaluations] combine_evaluations: wrote combined_noisy_bayesian.nc (246 samples from noisy_bayesian.nc, val_noisy_bayesian.nc).
2026-07-27 03:25:18,909 - INFO - [Combine Split Evaluations] Task completed.
2026-07-27 03:25:18,910 - INFO - [SYSTEM] Starting Task 10/10: Analyze Evaluations
2026-07-27 03:25:19,685 - INFO - generated new fontManager
2026-07-27 03:25:19,962 - INFO - [Analyze Evaluations] Loaded evaluation 'bayesian' with dims {'model': 30, 'noise_level': 1, 'sample': 97, 'class_name': 2}.
2026-07-27 03:25:19,971 - INFO - [Analyze Evaluations] Loaded evaluation 'combined_bayesian' with dims {'model': 30, 'noise_level': 1, 'sample': 246, 'class_name': 2}.
2026-07-27 03:25:19,975 - INFO - [Analyze Evaluations] Loaded evaluation 'combined_noisy_bayesian' with dims {'model': 30, 'noise_level': 13, 'sample': 246, 'class_name': 2}.
2026-07-27 03:25:19,979 - INFO - [Analyze Evaluations] Loaded evaluation 'combined_noisy_normal' with dims {'model': 30, 'noise_level': 13, 'sample': 246, 'class_name': 2}.
2026-07-27 03:25:19,982 - INFO - [Analyze Evaluations] Loaded evaluation 'combined_normal' with dims {'model': 30, 'noise_level': 1, 'sample': 246, 'class_name': 2}.
2026-07-27 03:25:19,985 - INFO - [Analyze Evaluations] Loaded evaluation 'noisy_bayesian' with dims {'model': 30, 'noise_level': 13, 'sample': 97, 'class_name': 2}.
2026-07-27 03:25:19,995 - INFO - [Analyze Evaluations] Loaded evaluation 'noisy_normal' with dims {'model': 30, 'noise_level': 13, 'sample': 97, 'class_name': 2}.
2026-07-27 03:25:19,999 - INFO - [Analyze Evaluations] Loaded evaluation 'normal' with dims {'model': 30, 'noise_level': 1, 'sample': 97, 'class_name': 2}.
2026-07-27 03:25:20,002 - INFO - [Analyze Evaluations] Loaded evaluation 'val_bayesian' with dims {'model': 30, 'noise_level': 1, 'sample': 149, 'class_name': 2}.
2026-07-27 03:25:20,013 - INFO - [Analyze Evaluations] Loaded evaluation 'val_noisy_bayesian' with dims {'model': 30, 'noise_level': 13, 'sample': 149, 'class_name': 2}.
2026-07-27 03:25:20,016 - INFO - [Analyze Evaluations] Loaded evaluation 'val_noisy_normal' with dims {'model': 30, 'noise_level': 13, 'sample': 149, 'class_name': 2}.
2026-07-27 03:25:20,020 - INFO - [Analyze Evaluations] Loaded evaluation 'val_normal' with dims {'model': 30, 'noise_level': 1, 'sample': 149, 'class_name': 2}.
2026-07-27 03:25:20,028 - INFO - [Analyze Evaluations] Running analysis: model_report — Per-model accuracy and uncertainty summary (PDF)
2026-07-27 03:25:20,098 - INFO - [Analyze Evaluations] model_report: wrote model_report.pdf (2 family/families, 60 model(s)).
2026-07-27 03:25:20,099 - INFO - [Analyze Evaluations] Running analysis: ensemble_size_accuracy — Accuracy vs. number of ensemble members
2026-07-27 03:25:20,113 - INFO - [Analyze Evaluations] ensemble_size_accuracy: normal - sizes 1..30, up to 30 configs each.
2026-07-27 03:25:20,137 - INFO - [Analyze Evaluations] ensemble_size_accuracy: bayesian - sizes 1..30, up to 30 configs each.
2026-07-27 03:25:20,557 - INFO - [Analyze Evaluations] ensemble_size_accuracy: wrote ensemble_size_accuracy.png (2 family/families).
2026-07-27 03:25:20,565 - INFO - [Analyze Evaluations] Running analysis: bootstrap_ensemble_ci — Bootstrap confidence intervals for ensemble accuracy
2026-07-27 03:25:20,708 - INFO - [Analyze Evaluations] bootstrap_ensemble_ci: normal full-ensemble acc = 71.5% (95% CI 62.4-79.9%, n=246 scans / 129 patients).
2026-07-27 03:25:20,747 - INFO - [Analyze Evaluations] bootstrap_ensemble_ci: bayesian full-ensemble acc = 80.5% (95% CI 72.3-87.9%, n=246 scans / 129 patients).
2026-07-27 03:25:20,869 - INFO - [Analyze Evaluations] bootstrap_ensemble_ci: wrote bootstrap_ci.png (2 family/families).
2026-07-27 03:25:20,876 - INFO - [Analyze Evaluations] Running analysis: coverage — Coverage curves: accuracy and F1 vs. retained fraction
2026-07-27 03:25:21,442 - INFO - [Analyze Evaluations] coverage: wrote coverage_accuracy.png (5 measure panels).
2026-07-27 03:25:21,957 - INFO - [Analyze Evaluations] coverage: wrote coverage_f1.png (5 measure panels).
2026-07-27 03:25:21,966 - INFO - [Analyze Evaluations] coverage: mean_output_entropy / normal_ensemble — AURC=0.1189 (accuracy at full coverage 0.715).
2026-07-27 03:25:21,967 - INFO - [Analyze Evaluations] coverage: mean_output_entropy / normal_single — AURC=0.1335 (accuracy at full coverage 0.725).
2026-07-27 03:25:21,967 - INFO - [Analyze Evaluations] coverage: mean_output_entropy / bayesian_ensemble — AURC=0.0763 (accuracy at full coverage 0.805).
2026-07-27 03:25:21,968 - INFO - [Analyze Evaluations] coverage: mean_output_entropy / bayesian_single — AURC=0.1594 (accuracy at full coverage 0.699).
2026-07-27 03:25:21,968 - INFO - [Analyze Evaluations] coverage: mean_predictive_entropy / normal_ensemble — AURC=0.1096 (accuracy at full coverage 0.715).
2026-07-27 03:25:21,969 - INFO - [Analyze Evaluations] coverage: mean_predictive_entropy / bayesian_ensemble — AURC=0.0923 (accuracy at full coverage 0.805).
2026-07-27 03:25:21,969 - INFO - [Analyze Evaluations] coverage: ensemble_std / normal_ensemble — AURC=0.2589 (accuracy at full coverage 0.715).
2026-07-27 03:25:21,970 - INFO - [Analyze Evaluations] coverage: ensemble_std / bayesian_ensemble — AURC=0.0979 (accuracy at full coverage 0.805).
2026-07-27 03:25:21,970 - INFO - [Analyze Evaluations] coverage: ensemble_mutual_information / normal_ensemble — AURC=0.2778 (accuracy at full coverage 0.715).
2026-07-27 03:25:21,970 - INFO - [Analyze Evaluations] coverage: ensemble_mutual_information / bayesian_ensemble — AURC=0.1134 (accuracy at full coverage 0.805).
2026-07-27 03:25:21,971 - INFO - [Analyze Evaluations] coverage: mean_mutual_information / bayesian_ensemble — AURC=0.1170 (accuracy at full coverage 0.805).
2026-07-27 03:25:21,971 - INFO - [Analyze Evaluations] coverage: mean_mutual_information / bayesian_single — AURC=0.2047 (accuracy at full coverage 0.699).
2026-07-27 03:25:21,973 - INFO - [Analyze Evaluations] Running analysis: noise_performance — Accuracy and uncertainty vs. input noise
2026-07-27 03:25:22,822 - INFO - [Analyze Evaluations] noise_performance: normal_ensemble — accuracy 0.715 at σ=0 → 0.589 at σ=8.
2026-07-27 03:25:22,828 - INFO - [Analyze Evaluations] noise_performance: normal_single — accuracy 0.725 at σ=0 → 0.597 at σ=8.
2026-07-27 03:25:22,829 - INFO - [Analyze Evaluations] noise_performance: bayesian_ensemble — accuracy 0.809 at σ=0 → 0.476 at σ=8.
2026-07-27 03:25:22,830 - INFO - [Analyze Evaluations] noise_performance: bayesian_single — accuracy 0.686 at σ=0 → 0.492 at σ=8.
2026-07-27 03:25:22,830 - INFO - [Analyze Evaluations] noise_performance: wrote noise_performance.png (7 panels).
2026-07-27 03:25:22,831 - INFO - [Analyze Evaluations] Running analysis: noise_correlation — Uncertainty vs. accuracy across noise levels (with fit)
2026-07-27 03:25:24,479 - INFO - [Analyze Evaluations] noise_correlation: wrote noise_correlation_mean_output_entropy.png.
2026-07-27 03:25:24,485 - INFO - [Analyze Evaluations] noise_correlation: mean_output_entropy / normal_ensemble — exponential fit R²=0.747, Spearman ρ=-0.877.
2026-07-27 03:25:24,486 - INFO - [Analyze Evaluations] noise_correlation: mean_output_entropy / normal_single — exponential fit R²=0.884, Spearman ρ=-0.926.
2026-07-27 03:25:24,487 - INFO - [Analyze Evaluations] noise_correlation: mean_output_entropy / bayesian_ensemble — exponential fit R²=0.203, Spearman ρ=-0.488.
2026-07-27 03:25:24,487 - INFO - [Analyze Evaluations] noise_correlation: mean_output_entropy / bayesian_single — exponential fit R²=0.395, Spearman ρ=-0.624.
2026-07-27 03:25:24,813 - INFO - [Analyze Evaluations] noise_correlation: wrote noise_correlation_mean_predictive_entropy.png.
2026-07-27 03:25:24,819 - INFO - [Analyze Evaluations] noise_correlation: mean_predictive_entropy / normal_ensemble — exponential fit R²=0.806, Spearman ρ=-0.907.
2026-07-27 03:25:24,821 - INFO - [Analyze Evaluations] noise_correlation: mean_predictive_entropy / bayesian_ensemble — exponential fit R²=0.178, Spearman ρ=-0.435.
2026-07-27 03:25:25,154 - INFO - [Analyze Evaluations] noise_correlation: wrote noise_correlation_ensemble_std.png.
2026-07-27 03:25:25,160 - INFO - [Analyze Evaluations] noise_correlation: ensemble_std / normal_ensemble — exponential fit R²=0.044, Spearman ρ=-0.206.
2026-07-27 03:25:25,162 - INFO - [Analyze Evaluations] noise_correlation: ensemble_std / bayesian_ensemble — exponential fit R²=0.389, Spearman ρ=-0.598.
2026-07-27 03:25:25,641 - INFO - [Analyze Evaluations] noise_correlation: wrote noise_correlation_ensemble_mutual_information.png.
2026-07-27 03:25:25,647 - INFO - [Analyze Evaluations] noise_correlation: ensemble_mutual_information / normal_ensemble — exponential fit R²=0.001, Spearman ρ=0.004.
2026-07-27 03:25:25,648 - INFO - [Analyze Evaluations] noise_correlation: ensemble_mutual_information / bayesian_ensemble — exponential fit R²=0.393, Spearman ρ=-0.629.
2026-07-27 03:25:25,990 - INFO - [Analyze Evaluations] noise_correlation: wrote noise_correlation_mean_mutual_information.png.
2026-07-27 03:25:25,997 - INFO - [Analyze Evaluations] noise_correlation: mean_mutual_information / bayesian_ensemble — exponential fit R²=0.270, Spearman ρ=-0.507.
2026-07-27 03:25:25,997 - INFO - [Analyze Evaluations] noise_correlation: mean_mutual_information / bayesian_single — exponential fit R²=0.494, Spearman ρ=-0.666.
2026-07-27 03:25:26,000 - INFO - [Analyze Evaluations] Analysis artifacts written to outputs/exp1/analysis/.
2026-07-27 03:25:26,003 - INFO - [Analyze Evaluations] Task completed.
2026-07-27 03:25:26,005 - INFO - [SYSTEM] All tasks finished successfully!
2026-07-27 08:12:13,951 - INFO - [SYSTEM] Application initialized and ready.
2026-07-27 08:12:13,953 - INFO - [SYSTEM] Successfully loaded config from ./outputs/exp1/config.toml
2026-07-27 08:12:37,323 - INFO - [SYSTEM] Successfully loaded config from ./outputs/exp1/config.toml
2026-07-27 08:14:01,970 - INFO - [SYSTEM] Initiating Scenario: 6. Extend Noise Sweep (extra sigmas + merge + analyze)
2026-07-27 08:14:01,982 - INFO - [SYSTEM] Starting Task 1/7: Load Image and ADNIMERGE
2026-07-27 08:14:02,135 - INFO - [Load Image and ADNIMERGE] Seeded RNGs with base seed 42
2026-07-27 08:14:02,136 - INFO - [Load Image and ADNIMERGE] Loading Files
2026-07-27 08:14:06,198 - INFO - [Load Image and ADNIMERGE] Dataloaders initalized
2026-07-27 08:14:06,206 - INFO - [Load Image and ADNIMERGE] Task completed.
2026-07-27 08:14:06,209 - INFO - [SYSTEM] Starting Task 2/7: Load Saved Models
2026-07-27 08:14:06,210 - INFO - [Load Saved Models] Found 30 normal model(s) in normal_models/.
2026-07-27 08:14:06,211 - INFO - [Load Saved Models] Found 30 bayesian model(s) in bayesian_models/.
2026-07-27 08:14:06,212 - INFO - [Load Saved Models] Task completed.
2026-07-27 08:14:06,213 - INFO - [SYSTEM] Starting Task 3/7: Evaluate Additional Noise Levels
2026-07-27 08:14:06,486 - INFO - [Evaluate Additional Noise Levels] Evaluating 30 normal model(s) on 97 test samples, 4 noise level(s), 1 MC pass(es) each.
2026-07-27 08:14:06,493 - INFO - [Evaluate Additional Noise Levels] Loading normal model 1/30: model_1.pt
2026-07-27 08:14:10,789 - INFO - [Evaluate Additional Noise Levels] Loading normal model 2/30: model_2.pt
2026-07-27 08:14:14,780 - INFO - [Evaluate Additional Noise Levels] Loading normal model 3/30: model_3.pt
2026-07-27 08:14:18,785 - INFO - [Evaluate Additional Noise Levels] Loading normal model 4/30: model_4.pt
2026-07-27 08:14:22,790 - INFO - [Evaluate Additional Noise Levels] Loading normal model 5/30: model_5.pt
2026-07-27 08:14:26,818 - INFO - [Evaluate Additional Noise Levels] Loading normal model 6/30: model_6.pt
2026-07-27 08:14:30,820 - INFO - [Evaluate Additional Noise Levels] Loading normal model 7/30: model_7.pt
2026-07-27 08:14:34,828 - INFO - [Evaluate Additional Noise Levels] Loading normal model 8/30: model_8.pt
2026-07-27 08:14:38,838 - INFO - [Evaluate Additional Noise Levels] Loading normal model 9/30: model_9.pt
2026-07-27 08:14:42,869 - INFO - [Evaluate Additional Noise Levels] Loading normal model 10/30: model_10.pt
2026-07-27 08:14:46,895 - INFO - [Evaluate Additional Noise Levels] Loading normal model 11/30: model_11.pt
2026-07-27 08:14:50,935 - INFO - [Evaluate Additional Noise Levels] Loading normal model 12/30: model_12.pt
2026-07-27 08:14:54,961 - INFO - [Evaluate Additional Noise Levels] Loading normal model 13/30: model_13.pt
2026-07-27 08:14:58,993 - INFO - [Evaluate Additional Noise Levels] Loading normal model 14/30: model_14.pt
2026-07-27 08:15:03,026 - INFO - [Evaluate Additional Noise Levels] Loading normal model 15/30: model_15.pt
2026-07-27 08:15:07,044 - INFO - [Evaluate Additional Noise Levels] Loading normal model 16/30: model_16.pt
2026-07-27 08:15:11,065 - INFO - [Evaluate Additional Noise Levels] Loading normal model 17/30: model_17.pt
2026-07-27 08:15:15,105 - INFO - [Evaluate Additional Noise Levels] Loading normal model 18/30: model_18.pt
2026-07-27 08:15:19,142 - INFO - [Evaluate Additional Noise Levels] Loading normal model 19/30: model_19.pt
2026-07-27 08:15:23,185 - INFO - [Evaluate Additional Noise Levels] Loading normal model 20/30: model_20.pt
2026-07-27 08:15:27,227 - INFO - [Evaluate Additional Noise Levels] Loading normal model 21/30: model_21.pt
2026-07-27 08:15:31,281 - INFO - [Evaluate Additional Noise Levels] Loading normal model 22/30: model_22.pt
2026-07-27 08:15:35,326 - INFO - [Evaluate Additional Noise Levels] Loading normal model 23/30: model_23.pt
2026-07-27 08:15:39,367 - INFO - [Evaluate Additional Noise Levels] Loading normal model 24/30: model_24.pt
2026-07-27 08:15:43,402 - INFO - [Evaluate Additional Noise Levels] Loading normal model 25/30: model_25.pt
2026-07-27 08:15:47,438 - INFO - [Evaluate Additional Noise Levels] Loading normal model 26/30: model_26.pt
2026-07-27 08:15:51,472 - INFO - [Evaluate Additional Noise Levels] Loading normal model 27/30: model_27.pt
2026-07-27 08:15:55,509 - INFO - [Evaluate Additional Noise Levels] Loading normal model 28/30: model_28.pt
2026-07-27 08:15:59,580 - INFO - [Evaluate Additional Noise Levels] Loading normal model 29/30: model_29.pt
2026-07-27 08:16:03,606 - INFO - [Evaluate Additional Noise Levels] Loading normal model 30/30: model_30.pt
2026-07-27 08:16:07,681 - INFO - [Evaluate Additional Noise Levels] Saved normal test evaluation to outputs/exp1/evaluations/extra_noisy_normal.nc (models=30, samples=97, noise_levels=4).
2026-07-27 08:16:07,764 - INFO - [Evaluate Additional Noise Levels] Evaluating 30 bayesian model(s) on 97 test samples, 4 noise level(s), 20 MC pass(es) each.
2026-07-27 08:16:07,771 - INFO - [Evaluate Additional Noise Levels] Loading bayesian model 1/30: model_1.pt
2026-07-27 08:17:24,582 - INFO - [Evaluate Additional Noise Levels] Loading bayesian model 2/30: model_2.pt
2026-07-27 08:18:41,597 - INFO - [Evaluate Additional Noise Levels] Loading bayesian model 3/30: model_3.pt
2026-07-27 08:19:58,634 - INFO - [Evaluate Additional Noise Levels] Loading bayesian model 4/30: model_4.pt
2026-07-27 08:21:15,849 - INFO - [Evaluate Additional Noise Levels] Loading bayesian model 5/30: model_5.pt
2026-07-27 08:22:32,936 - INFO - [Evaluate Additional Noise Levels] Loading bayesian model 6/30: model_6.pt
2026-07-27 08:23:50,134 - INFO - [Evaluate Additional Noise Levels] Loading bayesian model 7/30: model_7.pt
2026-07-27 08:25:07,160 - INFO - [Evaluate Additional Noise Levels] Loading bayesian model 8/30: model_8.pt
2026-07-27 08:26:24,151 - INFO - [Evaluate Additional Noise Levels] Loading bayesian model 9/30: model_9.pt
2026-07-27 08:27:41,265 - INFO - [Evaluate Additional Noise Levels] Loading bayesian model 10/30: model_10.pt
2026-07-27 08:28:58,399 - INFO - [Evaluate Additional Noise Levels] Loading bayesian model 11/30: model_11.pt
2026-07-27 08:30:15,532 - INFO - [Evaluate Additional Noise Levels] Loading bayesian model 12/30: model_12.pt
2026-07-27 08:31:32,684 - INFO - [Evaluate Additional Noise Levels] Loading bayesian model 13/30: model_13.pt
2026-07-27 08:32:49,777 - INFO - [Evaluate Additional Noise Levels] Loading bayesian model 14/30: model_14.pt
2026-07-27 08:34:06,928 - INFO - [Evaluate Additional Noise Levels] Loading bayesian model 15/30: model_15.pt
2026-07-27 08:35:24,116 - INFO - [Evaluate Additional Noise Levels] Loading bayesian model 16/30: model_16.pt
2026-07-27 08:36:41,202 - INFO - [Evaluate Additional Noise Levels] Loading bayesian model 17/30: model_17.pt
2026-07-27 08:37:58,298 - INFO - [Evaluate Additional Noise Levels] Loading bayesian model 18/30: model_18.pt
2026-07-27 08:39:15,667 - INFO - [Evaluate Additional Noise Levels] Loading bayesian model 19/30: model_19.pt
2026-07-27 08:40:32,961 - INFO - [Evaluate Additional Noise Levels] Loading bayesian model 20/30: model_20.pt
2026-07-27 08:41:50,069 - INFO - [Evaluate Additional Noise Levels] Loading bayesian model 21/30: model_21.pt
2026-07-27 08:43:07,285 - INFO - [Evaluate Additional Noise Levels] Loading bayesian model 22/30: model_22.pt
2026-07-27 08:44:28,540 - INFO - [Evaluate Additional Noise Levels] Loading bayesian model 23/30: model_23.pt
2026-07-27 08:45:52,012 - INFO - [Evaluate Additional Noise Levels] Loading bayesian model 24/30: model_24.pt
2026-07-27 08:47:15,354 - INFO - [Evaluate Additional Noise Levels] Loading bayesian model 25/30: model_25.pt
2026-07-27 08:48:38,783 - INFO - [Evaluate Additional Noise Levels] Loading bayesian model 26/30: model_26.pt
2026-07-27 08:50:02,316 - INFO - [Evaluate Additional Noise Levels] Loading bayesian model 27/30: model_27.pt
2026-07-27 08:51:25,715 - INFO - [Evaluate Additional Noise Levels] Loading bayesian model 28/30: model_28.pt
2026-07-27 08:52:49,349 - INFO - [Evaluate Additional Noise Levels] Loading bayesian model 29/30: model_29.pt
2026-07-27 08:54:12,794 - INFO - [Evaluate Additional Noise Levels] Loading bayesian model 30/30: model_30.pt
2026-07-27 08:55:36,334 - INFO - [Evaluate Additional Noise Levels] Saved bayesian test evaluation to outputs/exp1/evaluations/extra_noisy_bayesian.nc (models=30, samples=97, noise_levels=4).
2026-07-27 08:55:36,335 - INFO - [Evaluate Additional Noise Levels] Task completed.
2026-07-27 08:55:36,337 - INFO - [SYSTEM] Starting Task 4/7: Evaluate Additional Noise Levels (Validation)
2026-07-27 08:55:36,455 - INFO - [Evaluate Additional Noise Levels (Validation)] Evaluating 30 normal model(s) on 149 val samples, 4 noise level(s), 1 MC pass(es) each.
2026-07-27 08:55:36,462 - INFO - [Evaluate Additional Noise Levels (Validation)] Loading normal model 1/30: model_1.pt
2026-07-27 08:55:42,919 - INFO - [Evaluate Additional Noise Levels (Validation)] Loading normal model 2/30: model_2.pt
2026-07-27 08:55:49,396 - INFO - [Evaluate Additional Noise Levels (Validation)] Loading normal model 3/30: model_3.pt
2026-07-27 08:55:55,869 - INFO - [Evaluate Additional Noise Levels (Validation)] Loading normal model 4/30: model_4.pt
2026-07-27 08:56:02,388 - INFO - [Evaluate Additional Noise Levels (Validation)] Loading normal model 5/30: model_5.pt
2026-07-27 08:56:08,878 - INFO - [Evaluate Additional Noise Levels (Validation)] Loading normal model 6/30: model_6.pt
2026-07-27 08:56:15,353 - INFO - [Evaluate Additional Noise Levels (Validation)] Loading normal model 7/30: model_7.pt
2026-07-27 08:56:21,818 - INFO - [Evaluate Additional Noise Levels (Validation)] Loading normal model 8/30: model_8.pt
2026-07-27 08:56:28,318 - INFO - [Evaluate Additional Noise Levels (Validation)] Loading normal model 9/30: model_9.pt
2026-07-27 08:56:34,839 - INFO - [Evaluate Additional Noise Levels (Validation)] Loading normal model 10/30: model_10.pt
2026-07-27 08:56:41,318 - INFO - [Evaluate Additional Noise Levels (Validation)] Loading normal model 11/30: model_11.pt
2026-07-27 08:56:47,802 - INFO - [Evaluate Additional Noise Levels (Validation)] Loading normal model 12/30: model_12.pt
2026-07-27 08:56:54,283 - INFO - [Evaluate Additional Noise Levels (Validation)] Loading normal model 13/30: model_13.pt
2026-07-27 08:57:00,766 - INFO - [Evaluate Additional Noise Levels (Validation)] Loading normal model 14/30: model_14.pt
2026-07-27 08:57:07,220 - INFO - [Evaluate Additional Noise Levels (Validation)] Loading normal model 15/30: model_15.pt
2026-07-27 08:57:13,734 - INFO - [Evaluate Additional Noise Levels (Validation)] Loading normal model 16/30: model_16.pt
2026-07-27 08:57:20,244 - INFO - [Evaluate Additional Noise Levels (Validation)] Loading normal model 17/30: model_17.pt
2026-07-27 08:57:26,719 - INFO - [Evaluate Additional Noise Levels (Validation)] Loading normal model 18/30: model_18.pt
2026-07-27 08:57:33,186 - INFO - [Evaluate Additional Noise Levels (Validation)] Loading normal model 19/30: model_19.pt
2026-07-27 08:57:39,663 - INFO - [Evaluate Additional Noise Levels (Validation)] Loading normal model 20/30: model_20.pt
2026-07-27 08:57:46,171 - INFO - [Evaluate Additional Noise Levels (Validation)] Loading normal model 21/30: model_21.pt
2026-07-27 08:57:52,664 - INFO - [Evaluate Additional Noise Levels (Validation)] Loading normal model 22/30: model_22.pt
2026-07-27 08:57:59,122 - INFO - [Evaluate Additional Noise Levels (Validation)] Loading normal model 23/30: model_23.pt
2026-07-27 08:58:05,606 - INFO - [Evaluate Additional Noise Levels (Validation)] Loading normal model 24/30: model_24.pt
2026-07-27 08:58:12,104 - INFO - [Evaluate Additional Noise Levels (Validation)] Loading normal model 25/30: model_25.pt
2026-07-27 08:58:18,616 - INFO - [Evaluate Additional Noise Levels (Validation)] Loading normal model 26/30: model_26.pt
2026-07-27 08:58:25,143 - INFO - [Evaluate Additional Noise Levels (Validation)] Loading normal model 27/30: model_27.pt
2026-07-27 08:58:31,626 - INFO - [Evaluate Additional Noise Levels (Validation)] Loading normal model 28/30: model_28.pt
2026-07-27 08:58:38,130 - INFO - [Evaluate Additional Noise Levels (Validation)] Loading normal model 29/30: model_29.pt
2026-07-27 08:58:44,600 - INFO - [Evaluate Additional Noise Levels (Validation)] Loading normal model 30/30: model_30.pt
2026-07-27 08:58:51,096 - INFO - [Evaluate Additional Noise Levels (Validation)] Saved normal val evaluation to outputs/exp1/evaluations/val_extra_noisy_normal.nc (models=30, samples=149, noise_levels=4).
2026-07-27 08:58:51,205 - INFO - [Evaluate Additional Noise Levels (Validation)] Evaluating 30 bayesian model(s) on 149 val samples, 4 noise level(s), 20 MC pass(es) each.
2026-07-27 08:58:51,212 - INFO - [Evaluate Additional Noise Levels (Validation)] Loading bayesian model 1/30: model_1.pt
2026-07-27 09:00:57,995 - INFO - [Evaluate Additional Noise Levels (Validation)] Loading bayesian model 2/30: model_2.pt
2026-07-27 09:03:05,150 - INFO - [Evaluate Additional Noise Levels (Validation)] Loading bayesian model 3/30: model_3.pt
2026-07-27 09:05:12,096 - INFO - [Evaluate Additional Noise Levels (Validation)] Loading bayesian model 4/30: model_4.pt
2026-07-27 09:07:19,051 - INFO - [Evaluate Additional Noise Levels (Validation)] Loading bayesian model 5/30: model_5.pt
2026-07-27 09:09:26,087 - INFO - [Evaluate Additional Noise Levels (Validation)] Loading bayesian model 6/30: model_6.pt
2026-07-27 09:11:33,078 - INFO - [Evaluate Additional Noise Levels (Validation)] Loading bayesian model 7/30: model_7.pt
2026-07-27 09:13:40,080 - INFO - [Evaluate Additional Noise Levels (Validation)] Loading bayesian model 8/30: model_8.pt
2026-07-27 09:15:47,002 - INFO - [Evaluate Additional Noise Levels (Validation)] Loading bayesian model 9/30: model_9.pt
2026-07-27 09:17:54,161 - INFO - [Evaluate Additional Noise Levels (Validation)] Loading bayesian model 10/30: model_10.pt
2026-07-27 09:20:01,369 - INFO - [Evaluate Additional Noise Levels (Validation)] Loading bayesian model 11/30: model_11.pt
2026-07-27 09:22:08,239 - INFO - [Evaluate Additional Noise Levels (Validation)] Loading bayesian model 12/30: model_12.pt
2026-07-27 09:24:15,030 - INFO - [Evaluate Additional Noise Levels (Validation)] Loading bayesian model 13/30: model_13.pt
2026-07-27 09:26:21,764 - INFO - [Evaluate Additional Noise Levels (Validation)] Loading bayesian model 14/30: model_14.pt
2026-07-27 09:28:28,871 - INFO - [Evaluate Additional Noise Levels (Validation)] Loading bayesian model 15/30: model_15.pt
2026-07-27 09:30:35,940 - INFO - [Evaluate Additional Noise Levels (Validation)] Loading bayesian model 16/30: model_16.pt
2026-07-27 09:32:43,102 - INFO - [Evaluate Additional Noise Levels (Validation)] Loading bayesian model 17/30: model_17.pt
2026-07-27 09:34:50,185 - INFO - [Evaluate Additional Noise Levels (Validation)] Loading bayesian model 18/30: model_18.pt
2026-07-27 09:36:57,201 - INFO - [Evaluate Additional Noise Levels (Validation)] Loading bayesian model 19/30: model_19.pt
2026-07-27 09:39:04,485 - INFO - [Evaluate Additional Noise Levels (Validation)] Loading bayesian model 20/30: model_20.pt
2026-07-27 09:41:11,661 - INFO - [Evaluate Additional Noise Levels (Validation)] Loading bayesian model 21/30: model_21.pt
2026-07-27 09:43:18,639 - INFO - [Evaluate Additional Noise Levels (Validation)] Loading bayesian model 22/30: model_22.pt
2026-07-27 09:45:25,811 - INFO - [Evaluate Additional Noise Levels (Validation)] Loading bayesian model 23/30: model_23.pt
2026-07-27 09:47:33,027 - INFO - [Evaluate Additional Noise Levels (Validation)] Loading bayesian model 24/30: model_24.pt
2026-07-27 09:49:40,049 - INFO - [Evaluate Additional Noise Levels (Validation)] Loading bayesian model 25/30: model_25.pt
2026-07-27 09:51:47,128 - INFO - [Evaluate Additional Noise Levels (Validation)] Loading bayesian model 26/30: model_26.pt
2026-07-27 09:53:54,218 - INFO - [Evaluate Additional Noise Levels (Validation)] Loading bayesian model 27/30: model_27.pt
2026-07-27 09:56:01,246 - INFO - [Evaluate Additional Noise Levels (Validation)] Loading bayesian model 28/30: model_28.pt
2026-07-27 09:58:08,287 - INFO - [Evaluate Additional Noise Levels (Validation)] Loading bayesian model 29/30: model_29.pt
2026-07-27 10:00:15,224 - INFO - [Evaluate Additional Noise Levels (Validation)] Loading bayesian model 30/30: model_30.pt
2026-07-27 10:02:22,505 - INFO - [Evaluate Additional Noise Levels (Validation)] Saved bayesian val evaluation to outputs/exp1/evaluations/val_extra_noisy_bayesian.nc (models=30, samples=149, noise_levels=4).
2026-07-27 10:02:22,511 - INFO - [Evaluate Additional Noise Levels (Validation)] Task completed.
2026-07-27 10:02:22,515 - INFO - [SYSTEM] Starting Task 5/7: Combine Split Evaluations
2026-07-27 10:02:22,556 - INFO - [Combine Split Evaluations] combine_evaluations: wrote combined_normal.nc (246 samples x 1 noise level(s) from normal.nc, val_normal.nc).
2026-07-27 10:02:22,614 - INFO - [Combine Split Evaluations] combine_evaluations: wrote combined_noisy_normal.nc (246 samples x 17 noise level(s) from noisy_normal.nc, extra_noisy_normal.nc, val_noisy_normal.nc, val_extra_noisy_normal.nc).
2026-07-27 10:02:22,641 - INFO - [Combine Split Evaluations] combine_evaluations: wrote combined_bayesian.nc (246 samples x 1 noise level(s) from bayesian.nc, val_bayesian.nc).
2026-07-27 10:02:22,700 - INFO - [Combine Split Evaluations] combine_evaluations: wrote combined_noisy_bayesian.nc (246 samples x 17 noise level(s) from noisy_bayesian.nc, extra_noisy_bayesian.nc, val_noisy_bayesian.nc, val_extra_noisy_bayesian.nc).
2026-07-27 10:02:22,706 - INFO - [Combine Split Evaluations] Task completed.
2026-07-27 10:02:22,708 - INFO - [SYSTEM] Starting Task 6/7: Generate Extra Information
2026-07-27 10:02:22,708 - INFO - [Generate Extra Information] Extra info: dataset_summary
2026-07-27 10:02:22,842 - INFO - [Generate Extra Information] dataset_summary: train=526 scans/301 patients, val=149 scans/86 patients, test=97 scans/43 patients. Wrote dataset_summary.png/.json.
2026-07-27 10:02:22,849 - INFO - [Generate Extra Information] Extra info: noise_examples
2026-07-27 10:02:23,339 - INFO - [Generate Extra Information] noise_examples: wrote noise_examples.png (3 images x 8 noise levels).
2026-07-27 10:02:23,346 - INFO - [Generate Extra Information] Extra information written to outputs/exp1/analysis/.
2026-07-27 10:02:23,347 - INFO - [Generate Extra Information] Task completed.
2026-07-27 10:02:23,348 - INFO - [SYSTEM] Starting Task 7/7: Analyze Evaluations
2026-07-27 10:02:23,388 - INFO - [Analyze Evaluations] Loaded evaluation 'bayesian' with dims {'model': 30, 'noise_level': 1, 'sample': 97, 'class_name': 2}.
2026-07-27 10:02:23,400 - INFO - [Analyze Evaluations] Loaded evaluation 'combined_bayesian' with dims {'model': 30, 'noise_level': 1, 'sample': 246, 'class_name': 2}.
2026-07-27 10:02:23,404 - INFO - [Analyze Evaluations] Loaded evaluation 'combined_noisy_bayesian' with dims {'model': 30, 'noise_level': 17, 'sample': 246, 'class_name': 2}.
2026-07-27 10:02:23,413 - INFO - [Analyze Evaluations] Loaded evaluation 'combined_noisy_normal' with dims {'model': 30, 'noise_level': 17, 'sample': 246, 'class_name': 2}.
2026-07-27 10:02:23,417 - INFO - [Analyze Evaluations] Loaded evaluation 'combined_normal' with dims {'model': 30, 'noise_level': 1, 'sample': 246, 'class_name': 2}.
2026-07-27 10:02:23,420 - INFO - [Analyze Evaluations] Loaded evaluation 'extra_noisy_bayesian' with dims {'model': 30, 'noise_level': 4, 'sample': 97, 'class_name': 2}.
2026-07-27 10:02:23,430 - INFO - [Analyze Evaluations] Loaded evaluation 'extra_noisy_normal' with dims {'model': 30, 'noise_level': 4, 'sample': 97, 'class_name': 2}.
2026-07-27 10:02:23,433 - INFO - [Analyze Evaluations] Loaded evaluation 'noisy_bayesian' with dims {'model': 30, 'noise_level': 13, 'sample': 97, 'class_name': 2}.
2026-07-27 10:02:23,437 - INFO - [Analyze Evaluations] Loaded evaluation 'noisy_normal' with dims {'model': 30, 'noise_level': 13, 'sample': 97, 'class_name': 2}.
2026-07-27 10:02:23,440 - INFO - [Analyze Evaluations] Loaded evaluation 'normal' with dims {'model': 30, 'noise_level': 1, 'sample': 97, 'class_name': 2}.
2026-07-27 10:02:23,449 - INFO - [Analyze Evaluations] Loaded evaluation 'val_bayesian' with dims {'model': 30, 'noise_level': 1, 'sample': 149, 'class_name': 2}.
2026-07-27 10:02:23,453 - INFO - [Analyze Evaluations] Loaded evaluation 'val_extra_noisy_bayesian' with dims {'model': 30, 'noise_level': 4, 'sample': 149, 'class_name': 2}.
2026-07-27 10:02:23,456 - INFO - [Analyze Evaluations] Loaded evaluation 'val_extra_noisy_normal' with dims {'model': 30, 'noise_level': 4, 'sample': 149, 'class_name': 2}.
2026-07-27 10:02:23,465 - INFO - [Analyze Evaluations] Loaded evaluation 'val_noisy_bayesian' with dims {'model': 30, 'noise_level': 13, 'sample': 149, 'class_name': 2}.
2026-07-27 10:02:23,469 - INFO - [Analyze Evaluations] Loaded evaluation 'val_noisy_normal' with dims {'model': 30, 'noise_level': 13, 'sample': 149, 'class_name': 2}.
2026-07-27 10:02:23,472 - INFO - [Analyze Evaluations] Loaded evaluation 'val_normal' with dims {'model': 30, 'noise_level': 1, 'sample': 149, 'class_name': 2}.
2026-07-27 10:02:23,478 - INFO - [Analyze Evaluations] Running analysis: model_report — Per-model accuracy and uncertainty summary (PDF)
2026-07-27 10:02:23,711 - INFO - [Analyze Evaluations] model_report: wrote model_report.pdf (2 family/families, 60 model(s)).
2026-07-27 10:02:23,712 - INFO - [Analyze Evaluations] Running analysis: ensemble_size_accuracy — Accuracy vs. number of ensemble members
2026-07-27 10:02:23,735 - INFO - [Analyze Evaluations] ensemble_size_accuracy: normal - sizes 1..30, up to 30 configs each.
2026-07-27 10:02:23,755 - INFO - [Analyze Evaluations] ensemble_size_accuracy: bayesian - sizes 1..30, up to 30 configs each.
2026-07-27 10:02:23,963 - INFO - [Analyze Evaluations] ensemble_size_accuracy: wrote ensemble_size_accuracy.png (2 family/families).
2026-07-27 10:02:23,970 - INFO - [Analyze Evaluations] Running analysis: bootstrap_ensemble_ci — Bootstrap confidence intervals for ensemble accuracy
2026-07-27 10:02:24,011 - INFO - [Analyze Evaluations] bootstrap_ensemble_ci: normal full-ensemble acc = 71.5% (95% CI 62.4-79.9%, n=246 scans / 129 patients).
2026-07-27 10:02:24,052 - INFO - [Analyze Evaluations] bootstrap_ensemble_ci: bayesian full-ensemble acc = 80.5% (95% CI 72.3-87.9%, n=246 scans / 129 patients).
2026-07-27 10:02:24,171 - INFO - [Analyze Evaluations] bootstrap_ensemble_ci: wrote bootstrap_ci.png (2 family/families).
2026-07-27 10:02:24,177 - INFO - [Analyze Evaluations] Running analysis: coverage — Coverage curves: accuracy and F1 vs. retained fraction
2026-07-27 10:02:24,748 - INFO - [Analyze Evaluations] coverage: wrote coverage_accuracy.png (5 measure panels).
2026-07-27 10:02:25,376 - INFO - [Analyze Evaluations] coverage: wrote coverage_f1.png (5 measure panels).
2026-07-27 10:02:25,384 - INFO - [Analyze Evaluations] coverage: mean_output_entropy / normal_ensemble — AURC=0.1189 (accuracy at full coverage 0.715).
2026-07-27 10:02:25,387 - INFO - [Analyze Evaluations] coverage: mean_output_entropy / normal_single — AURC=0.1335 (accuracy at full coverage 0.725).
2026-07-27 10:02:25,389 - INFO - [Analyze Evaluations] coverage: mean_output_entropy / bayesian_ensemble — AURC=0.0763 (accuracy at full coverage 0.805).
2026-07-27 10:02:25,389 - INFO - [Analyze Evaluations] coverage: mean_output_entropy / bayesian_single — AURC=0.1594 (accuracy at full coverage 0.699).
2026-07-27 10:02:25,390 - INFO - [Analyze Evaluations] coverage: mean_predictive_entropy / normal_ensemble — AURC=0.1096 (accuracy at full coverage 0.715).
2026-07-27 10:02:25,390 - INFO - [Analyze Evaluations] coverage: mean_predictive_entropy / bayesian_ensemble — AURC=0.0923 (accuracy at full coverage 0.805).
2026-07-27 10:02:25,391 - INFO - [Analyze Evaluations] coverage: ensemble_std / normal_ensemble — AURC=0.2589 (accuracy at full coverage 0.715).
2026-07-27 10:02:25,391 - INFO - [Analyze Evaluations] coverage: ensemble_std / bayesian_ensemble — AURC=0.0979 (accuracy at full coverage 0.805).
2026-07-27 10:02:25,391 - INFO - [Analyze Evaluations] coverage: ensemble_mutual_information / normal_ensemble — AURC=0.2778 (accuracy at full coverage 0.715).
2026-07-27 10:02:25,392 - INFO - [Analyze Evaluations] coverage: ensemble_mutual_information / bayesian_ensemble — AURC=0.1134 (accuracy at full coverage 0.805).
2026-07-27 10:02:25,392 - INFO - [Analyze Evaluations] coverage: mean_mutual_information / bayesian_ensemble — AURC=0.1170 (accuracy at full coverage 0.805).
2026-07-27 10:02:25,392 - INFO - [Analyze Evaluations] coverage: mean_mutual_information / bayesian_single — AURC=0.2047 (accuracy at full coverage 0.699).
2026-07-27 10:02:25,394 - INFO - [Analyze Evaluations] Running analysis: noise_performance — Accuracy and uncertainty vs. input noise
2026-07-27 10:02:26,274 - INFO - [Analyze Evaluations] noise_performance: normal_ensemble — accuracy 0.715 at σ=0 → 0.585 at σ=32.
2026-07-27 10:02:26,280 - INFO - [Analyze Evaluations] noise_performance: normal_single — accuracy 0.725 at σ=0 → 0.569 at σ=32.
2026-07-27 10:02:26,282 - INFO - [Analyze Evaluations] noise_performance: bayesian_ensemble — accuracy 0.809 at σ=0 → 0.472 at σ=32.
2026-07-27 10:02:26,282 - INFO - [Analyze Evaluations] noise_performance: bayesian_single — accuracy 0.686 at σ=0 → 0.477 at σ=32.
2026-07-27 10:02:26,283 - INFO - [Analyze Evaluations] noise_performance: wrote noise_performance.png (7 panels).
2026-07-27 10:02:26,284 - INFO - [Analyze Evaluations] Running analysis: noise_correlation — Uncertainty vs. accuracy across noise levels (with fit)
2026-07-27 10:02:27,395 - INFO - [Analyze Evaluations] noise_correlation: wrote noise_correlation_mean_output_entropy.png.
2026-07-27 10:02:27,401 - INFO - [Analyze Evaluations] noise_correlation: mean_output_entropy / normal_ensemble — exponential fit R²=0.671, Spearman ρ=-0.823.
2026-07-27 10:02:27,402 - INFO - [Analyze Evaluations] noise_correlation: mean_output_entropy / normal_single — exponential fit R²=0.799, Spearman ρ=-0.826.
2026-07-27 10:02:27,403 - INFO - [Analyze Evaluations] noise_correlation: mean_output_entropy / bayesian_ensemble — exponential fit R²=0.012, Spearman ρ=-0.132.
2026-07-27 10:02:27,403 - INFO - [Analyze Evaluations] noise_correlation: mean_output_entropy / bayesian_single — exponential fit R²=0.036, Spearman ρ=-0.206.
2026-07-27 10:02:27,717 - INFO - [Analyze Evaluations] noise_correlation: wrote noise_correlation_mean_predictive_entropy.png.
2026-07-27 10:02:27,718 - INFO - [Analyze Evaluations] noise_correlation: mean_predictive_entropy / normal_ensemble — exponential fit R²=0.740, Spearman ρ=-0.851.
2026-07-27 10:02:27,726 - INFO - [Analyze Evaluations] noise_correlation: mean_predictive_entropy / bayesian_ensemble — exponential fit R²=0.002, Spearman ρ=-0.084.
2026-07-27 10:02:28,065 - INFO - [Analyze Evaluations] noise_correlation: wrote noise_correlation_ensemble_std.png.
2026-07-27 10:02:28,071 - INFO - [Analyze Evaluations] noise_correlation: ensemble_std / normal_ensemble — exponential fit R²=0.012, Spearman ρ=-0.091.
2026-07-27 10:02:28,072 - INFO - [Analyze Evaluations] noise_correlation: ensemble_std / bayesian_ensemble — exponential fit R²=0.339, Spearman ρ=-0.520.
2026-07-27 10:02:28,396 - INFO - [Analyze Evaluations] noise_correlation: wrote noise_correlation_ensemble_mutual_information.png.
2026-07-27 10:02:28,403 - INFO - [Analyze Evaluations] noise_correlation: ensemble_mutual_information / normal_ensemble — exponential fit R²=0.014, Spearman ρ=0.144.
2026-07-27 10:02:28,404 - INFO - [Analyze Evaluations] noise_correlation: ensemble_mutual_information / bayesian_ensemble — exponential fit R²=0.426, Spearman ρ=-0.659.
2026-07-27 10:02:28,731 - INFO - [Analyze Evaluations] noise_correlation: wrote noise_correlation_mean_mutual_information.png.
2026-07-27 10:02:28,737 - INFO - [Analyze Evaluations] noise_correlation: mean_mutual_information / bayesian_ensemble — exponential fit R²=0.259, Spearman ρ=-0.432.
2026-07-27 10:02:28,737 - INFO - [Analyze Evaluations] noise_correlation: mean_mutual_information / bayesian_single — exponential fit R²=0.285, Spearman ρ=-0.498.
2026-07-27 10:02:28,740 - INFO - [Analyze Evaluations] Analysis artifacts written to outputs/exp1/analysis/.
2026-07-27 10:02:28,744 - INFO - [Analyze Evaluations] Task completed.
2026-07-27 10:02:28,745 - INFO - [SYSTEM] All tasks finished successfully!