File size: 69,979 Bytes
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2024-05-16 15:08:45,991 - root - ERROR - An error occurred: name 'os' is not defined
2024-05-16 15:09:09,391 - root - INFO - Initializing SpectrogramDataset...
2024-05-16 15:09:09,929 - root - INFO - Dataset object loaded from F:\DATASET\v1\Spectrograms\spectrogram_dataset.pkl
2024-05-16 15:09:09,934 - root - INFO - SpectrogramDataset initialized successfully
2024-05-16 15:09:09,934 - root - ERROR - An error occurred: name 'np' is not defined
2024-05-16 15:09:43,969 - root - INFO - Initializing SpectrogramDataset...
2024-05-16 15:09:44,476 - root - INFO - Dataset object loaded from F:\DATASET\v1\Spectrograms\spectrogram_dataset.pkl
2024-05-16 15:09:44,481 - root - INFO - SpectrogramDataset initialized successfully
2024-05-16 15:09:44,490 - root - ERROR - An error occurred: name 'RandomSampler' is not defined
2024-05-16 15:10:48,213 - root - INFO - Initializing SpectrogramDataset...
2024-05-16 15:10:48,734 - root - INFO - Dataset object loaded from F:\DATASET\v1\Spectrograms\spectrogram_dataset.pkl
2024-05-16 15:10:48,739 - root - INFO - SpectrogramDataset initialized successfully
2024-05-16 15:10:48,741 - root - ERROR - An error occurred: name 'SequentialSampler' is not defined
2024-05-16 15:11:11,518 - root - INFO - Initializing SpectrogramDataset...
2024-05-16 15:11:12,025 - root - INFO - Dataset object loaded from F:\DATASET\v1\Spectrograms\spectrogram_dataset.pkl
2024-05-16 15:11:12,031 - root - INFO - SpectrogramDataset initialized successfully
2024-05-16 15:11:12,337 - root - ERROR - An error occurred: list index out of range
2024-05-16 15:19:51,771 - root - INFO - Initializing SpectrogramDataset...
2024-05-16 15:19:52,293 - root - INFO - Dataset object loaded from F:\DATASET\v1\Spectrograms\spectrogram_dataset.pkl
2024-05-16 15:19:52,298 - root - INFO - SpectrogramDataset initialized successfully
2024-05-16 15:19:52,569 - root - ERROR - An error occurred: list index out of range
2024-05-16 15:25:26,353 - root - INFO - Initializing SpectrogramDataset...
2024-05-16 15:25:26,884 - root - INFO - Dataset object loaded from F:\DATASET\v1\Spectrograms\spectrogram_dataset.pkl
2024-05-16 15:25:26,890 - root - INFO - SpectrogramDataset initialized successfully
2024-05-16 15:25:26,892 - root - INFO - Dataset length: 2288
2024-05-16 15:25:26,893 - root - INFO - Train dataset length: 1601
2024-05-16 15:25:26,894 - root - INFO - Validation dataset length: 343
2024-05-16 15:25:26,894 - root - INFO - Test dataset length: 344
2024-05-16 15:25:30,518 - root - INFO - Train dataset verification passed
2024-05-16 15:25:31,162 - root - INFO - Validation dataset verification passed
2024-05-16 15:25:32,096 - root - INFO - Test dataset verification passed
2024-05-16 15:25:32,406 - root - ERROR - An error occurred: list index out of range
2024-05-16 15:31:30,879 - root - INFO - Initializing SpectrogramDataset...
2024-05-16 15:31:31,394 - root - INFO - Dataset object loaded from F:\DATASET\v1\Spectrograms\spectrogram_dataset.pkl
2024-05-16 15:31:31,400 - root - INFO - SpectrogramDataset initialized successfully
2024-05-16 15:31:31,402 - root - ERROR - An error occurred: name 'verify_dataset_and_loader' is not defined
2024-05-16 15:35:01,395 - root - INFO - Initializing SpectrogramDataset...
2024-05-16 15:35:01,929 - root - INFO - Dataset object loaded from F:\DATASET\v1\Spectrograms\spectrogram_dataset.pkl
2024-05-16 15:35:01,934 - root - INFO - SpectrogramDataset initialized successfully
2024-05-16 15:35:01,937 - root - INFO - Dataset length: 2288
2024-05-16 15:35:01,938 - root - INFO - Train dataset length: 1601
2024-05-16 15:35:01,939 - root - INFO - Validation dataset length: 343
2024-05-16 15:35:01,939 - root - INFO - Test dataset length: 344
2024-05-16 15:35:05,709 - root - INFO - Train dataset verification passed
2024-05-16 15:35:06,364 - root - INFO - Validation dataset verification passed
2024-05-16 15:35:07,138 - root - INFO - Test dataset verification passed
2024-05-16 15:35:07,141 - root - INFO - Train sampler indices: [1715, 212, 1663, 1641, 874, 2133, 230, 1692, 1653, 1717]... (total: 2288)

2024-05-16 15:35:07,142 - root - ERROR - Train sampler index out of range: 2287 >= 1601

2024-05-16 15:35:07,143 - root - INFO - Validation sampler indices: [230, 218, 4, 229, 290, 64, 207, 188, 115, 212]... (total: 343)

2024-05-16 15:35:07,143 - root - INFO - Validation sampler indices within range.

2024-05-16 15:35:07,144 - root - INFO - Test sampler indices: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9]... (total: 344)

2024-05-16 15:35:07,145 - root - INFO - Test sampler indices within range.

2024-05-16 15:35:07,435 - root - ERROR - An error occurred: list index out of range

2024-05-16 15:38:08,245 - root - INFO - Initializing SpectrogramDataset...

2024-05-16 15:38:08,784 - root - INFO - Dataset object loaded from F:\DATASET\v1\Spectrograms\spectrogram_dataset.pkl

2024-05-16 15:38:08,789 - root - INFO - SpectrogramDataset initialized successfully

2024-05-16 15:38:08,791 - root - ERROR - An error occurred: 'SpectrogramDataset' object has no attribute 'indices'

2024-05-16 15:39:41,986 - root - INFO - Initializing SpectrogramDataset...

2024-05-16 15:39:42,584 - root - INFO - Dataset object loaded from F:\DATASET\v1\Spectrograms\spectrogram_dataset.pkl

2024-05-16 15:39:42,588 - root - INFO - SpectrogramDataset initialized successfully

2024-05-16 15:39:42,591 - root - INFO - Dataset length: 2288

2024-05-16 15:39:42,592 - root - INFO - Train dataset length: 1601

2024-05-16 15:39:42,592 - root - INFO - Validation dataset length: 343

2024-05-16 15:39:42,593 - root - INFO - Test dataset length: 344

2024-05-16 15:39:46,571 - root - INFO - Train dataset verification passed

2024-05-16 15:39:47,363 - root - INFO - Validation dataset verification passed

2024-05-16 15:39:48,276 - root - INFO - Test dataset verification passed

2024-05-16 15:39:48,278 - root - INFO - Train sampler indices: [57, 621, 222, 1233, 1204, 758, 1312, 357, 1105, 1504]... (total: 1601)

2024-05-16 15:39:48,279 - root - INFO - Train sampler indices within range.

2024-05-16 15:39:48,280 - root - INFO - Validation sampler indices: [208, 54, 29, 193, 121, 156, 339, 189, 301, 166]... (total: 343)

2024-05-16 15:39:48,281 - root - INFO - Validation sampler indices within range.

2024-05-16 15:39:48,282 - root - INFO - Test sampler indices: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9]... (total: 344)

2024-05-16 15:39:48,283 - root - INFO - Test sampler indices within range.

2024-05-16 15:39:50,020 - root - ERROR - An error occurred: mat1 and mat2 shapes cannot be multiplied (256x32768 and 8192x1024)

2024-05-16 15:41:07,216 - root - INFO - Initializing SpectrogramDataset...

2024-05-16 15:41:07,794 - root - INFO - Dataset object loaded from F:\DATASET\v1\Spectrograms\spectrogram_dataset.pkl

2024-05-16 15:41:07,799 - root - INFO - SpectrogramDataset initialized successfully

2024-05-16 15:41:07,802 - root - INFO - Dataset length: 2288

2024-05-16 15:41:07,802 - root - INFO - Train dataset length: 1601

2024-05-16 15:41:07,803 - root - INFO - Validation dataset length: 343

2024-05-16 15:41:07,804 - root - INFO - Test dataset length: 344

2024-05-16 15:41:11,881 - root - INFO - Train dataset verification passed

2024-05-16 15:41:12,832 - root - INFO - Validation dataset verification passed

2024-05-16 15:41:13,661 - root - INFO - Test dataset verification passed

2024-05-16 15:41:13,663 - root - INFO - Train sampler indices: [1180, 1565, 821, 15, 559, 111, 128, 1387, 1325, 1509]... (total: 1601)

2024-05-16 15:41:13,664 - root - INFO - Train sampler indices within range.

2024-05-16 15:41:13,665 - root - INFO - Validation sampler indices: [252, 171, 14, 36, 193, 141, 57, 38, 219, 65]... (total: 343)

2024-05-16 15:41:13,665 - root - INFO - Validation sampler indices within range.

2024-05-16 15:41:13,666 - root - INFO - Test sampler indices: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9]... (total: 344)

2024-05-16 15:41:13,667 - root - INFO - Test sampler indices within range.

2024-05-16 15:41:15,654 - root - ERROR - An error occurred: mat1 and mat2 shapes cannot be multiplied (256x32768 and 8192x1024)

2024-05-16 15:43:06,699 - root - INFO - Initializing SpectrogramDataset...

2024-05-16 15:43:07,225 - root - INFO - Dataset object loaded from F:\DATASET\v1\Spectrograms\spectrogram_dataset.pkl

2024-05-16 15:43:07,230 - root - INFO - SpectrogramDataset initialized successfully

2024-05-16 15:43:07,232 - root - INFO - Dataset length: 2288

2024-05-16 15:43:07,233 - root - INFO - Train dataset length: 1601

2024-05-16 15:43:07,234 - root - INFO - Validation dataset length: 343

2024-05-16 15:43:07,234 - root - INFO - Test dataset length: 344

2024-05-16 15:43:10,655 - root - INFO - Train dataset verification passed

2024-05-16 15:43:11,554 - root - INFO - Validation dataset verification passed

2024-05-16 15:43:12,261 - root - INFO - Test dataset verification passed

2024-05-16 15:43:12,264 - root - INFO - Train sampler indices: [976, 895, 296, 857, 1419, 1508, 1235, 341, 1009, 78]... (total: 1601)

2024-05-16 15:43:12,265 - root - INFO - Train sampler indices within range.

2024-05-16 15:43:12,267 - root - INFO - Validation sampler indices: [142, 152, 107, 169, 147, 12, 161, 15, 61, 141]... (total: 343)

2024-05-16 15:43:12,267 - root - INFO - Validation sampler indices within range.

2024-05-16 15:43:12,268 - root - INFO - Test sampler indices: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9]... (total: 344)

2024-05-16 15:43:12,269 - root - INFO - Test sampler indices within range.

2024-05-16 15:43:12,828 - root - ERROR - An error occurred: Input type (torch.cuda.FloatTensor) and weight type (torch.FloatTensor) should be the same

2024-05-16 15:46:38,338 - root - INFO - Initializing SpectrogramDataset...

2024-05-16 15:46:38,853 - root - INFO - Dataset object loaded from F:\DATASET\v1\Spectrograms\spectrogram_dataset.pkl

2024-05-16 15:46:38,905 - root - INFO - SpectrogramDataset initialized successfully

2024-05-16 15:46:38,909 - root - INFO - Dataset length: 2288

2024-05-16 15:46:38,910 - root - INFO - Train dataset length: 1601

2024-05-16 15:46:38,912 - root - INFO - Validation dataset length: 343

2024-05-16 15:46:38,913 - root - INFO - Test dataset length: 344

2024-05-16 15:46:42,470 - root - INFO - Train dataset verification passed

2024-05-16 15:46:43,177 - root - INFO - Validation dataset verification passed

2024-05-16 15:46:43,924 - root - INFO - Test dataset verification passed

2024-05-16 15:46:43,927 - root - INFO - Train sampler indices: [772, 408, 1328, 1382, 558, 1027, 1482, 1487, 198, 69]... (total: 1601)

2024-05-16 15:46:43,928 - root - INFO - Train sampler indices within range.

2024-05-16 15:46:43,929 - root - INFO - Validation sampler indices: [13, 20, 65, 277, 248, 107, 263, 31, 179, 159]... (total: 343)

2024-05-16 15:46:43,929 - root - INFO - Validation sampler indices within range.

2024-05-16 15:46:43,930 - root - INFO - Test sampler indices: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9]... (total: 344)

2024-05-16 15:46:43,931 - root - INFO - Test sampler indices within range.

2024-05-16 15:46:44,414 - root - ERROR - An error occurred: 'AudioResNet' object has no attribute 'fc1'

2024-05-16 15:50:57,787 - root - INFO - Initializing SpectrogramDataset...

2024-05-16 15:50:58,328 - root - INFO - Dataset object loaded from F:\DATASET\v1\Spectrograms\spectrogram_dataset.pkl

2024-05-16 15:50:58,333 - root - INFO - SpectrogramDataset initialized successfully

2024-05-16 15:50:58,335 - root - INFO - Dataset length: 2288

2024-05-16 15:50:58,336 - root - INFO - Train dataset length: 1601

2024-05-16 15:50:58,337 - root - INFO - Validation dataset length: 343

2024-05-16 15:50:58,337 - root - INFO - Test dataset length: 344

2024-05-16 15:51:01,977 - root - INFO - Train dataset verification passed

2024-05-16 15:51:02,979 - root - INFO - Validation dataset verification passed

2024-05-16 15:51:03,681 - root - INFO - Test dataset verification passed

2024-05-16 15:51:03,684 - root - INFO - Train sampler indices: [857, 128, 1276, 675, 178, 746, 1561, 1386, 1350, 1563]... (total: 1601)

2024-05-16 15:51:03,685 - root - INFO - Train sampler indices within range.

2024-05-16 15:51:03,686 - root - INFO - Validation sampler indices: [183, 83, 79, 230, 84, 20, 227, 30, 273, 196]... (total: 343)

2024-05-16 15:51:03,686 - root - INFO - Validation sampler indices within range.

2024-05-16 15:51:03,687 - root - INFO - Test sampler indices: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9]... (total: 344)

2024-05-16 15:51:03,688 - root - INFO - Test sampler indices within range.

2024-05-16 15:51:05,540 - root - ERROR - An error occurred: mat1 and mat2 shapes cannot be multiplied (256x32768 and 8192x1024)

2024-05-16 15:52:16,452 - root - INFO - Initializing SpectrogramDataset...

2024-05-16 15:52:16,965 - root - INFO - Dataset object loaded from F:\DATASET\v1\Spectrograms\spectrogram_dataset.pkl

2024-05-16 15:52:16,971 - root - INFO - SpectrogramDataset initialized successfully

2024-05-16 15:52:16,973 - root - INFO - Dataset length: 2288

2024-05-16 15:52:16,974 - root - INFO - Train dataset length: 1601

2024-05-16 15:52:16,975 - root - INFO - Validation dataset length: 343

2024-05-16 15:52:16,976 - root - INFO - Test dataset length: 344

2024-05-16 15:52:20,456 - root - INFO - Train dataset verification passed

2024-05-16 15:52:21,253 - root - INFO - Validation dataset verification passed

2024-05-16 15:52:21,949 - root - INFO - Test dataset verification passed

2024-05-16 15:52:21,952 - root - INFO - Train sampler indices: [299, 79, 986, 896, 1037, 1500, 744, 719, 643, 617]... (total: 1601)

2024-05-16 15:52:21,953 - root - INFO - Train sampler indices within range.

2024-05-16 15:52:21,954 - root - INFO - Validation sampler indices: [306, 310, 294, 202, 235, 302, 263, 115, 269, 131]... (total: 343)

2024-05-16 15:52:21,954 - root - INFO - Validation sampler indices within range.

2024-05-16 15:52:21,955 - root - INFO - Test sampler indices: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9]... (total: 344)

2024-05-16 15:52:21,956 - root - INFO - Test sampler indices within range.

2024-05-16 15:52:23,868 - root - ERROR - An error occurred: mat1 and mat2 shapes cannot be multiplied (256x32768 and 8192x1024)

2024-05-16 15:53:57,879 - root - INFO - Initializing SpectrogramDataset...

2024-05-16 15:53:58,421 - root - INFO - Dataset object loaded from F:\DATASET\v1\Spectrograms\spectrogram_dataset.pkl

2024-05-16 15:53:58,426 - root - INFO - SpectrogramDataset initialized successfully

2024-05-16 15:53:58,428 - root - INFO - Dataset length: 2288

2024-05-16 15:53:58,429 - root - INFO - Train dataset length: 1601

2024-05-16 15:53:58,430 - root - INFO - Validation dataset length: 343

2024-05-16 15:53:58,431 - root - INFO - Test dataset length: 344

2024-05-16 15:54:01,990 - root - INFO - Train dataset verification passed

2024-05-16 15:54:02,647 - root - INFO - Validation dataset verification passed

2024-05-16 15:54:03,543 - root - INFO - Test dataset verification passed

2024-05-16 15:54:03,546 - root - INFO - Train sampler indices: [1546, 728, 897, 1176, 902, 685, 927, 191, 553, 1434]... (total: 1601)

2024-05-16 15:54:03,546 - root - INFO - Train sampler indices within range.

2024-05-16 15:54:03,548 - root - INFO - Validation sampler indices: [293, 119, 112, 212, 257, 185, 237, 77, 285, 248]... (total: 343)

2024-05-16 15:54:03,548 - root - INFO - Validation sampler indices within range.

2024-05-16 15:54:03,549 - root - INFO - Test sampler indices: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9]... (total: 344)

2024-05-16 15:54:03,550 - root - INFO - Test sampler indices within range.

2024-05-16 15:54:05,500 - root - ERROR - An error occurred: mat1 and mat2 shapes cannot be multiplied (256x32768 and 8192x1024)

2024-05-16 16:40:54,571 - root - INFO - Initializing SpectrogramDataset...

2024-05-16 16:40:55,090 - root - INFO - Dataset object loaded from F:\DATASET\v1\Spectrograms\spectrogram_dataset.pkl

2024-05-16 16:40:55,095 - root - INFO - SpectrogramDataset initialized successfully

2024-05-16 16:40:55,098 - root - INFO - Dataset length: 2288

2024-05-16 16:40:55,099 - root - INFO - Train dataset length: 1601

2024-05-16 16:40:55,099 - root - INFO - Validation dataset length: 343

2024-05-16 16:40:55,100 - root - INFO - Test dataset length: 344

2024-05-16 16:40:58,581 - root - INFO - Train dataset verification passed

2024-05-16 16:40:59,386 - root - INFO - Validation dataset verification passed

2024-05-16 16:41:00,025 - root - INFO - Test dataset verification passed

2024-05-16 16:41:00,028 - root - INFO - Train sampler indices: [1258, 418, 585, 1154, 76, 11, 847, 845, 612, 483]... (total: 1601)

2024-05-16 16:41:00,028 - root - INFO - Train sampler indices within range.

2024-05-16 16:41:00,029 - root - INFO - Validation sampler indices: [185, 112, 269, 159, 203, 219, 94, 240, 34, 252]... (total: 343)

2024-05-16 16:41:00,030 - root - INFO - Validation sampler indices within range.

2024-05-16 16:41:00,030 - root - INFO - Test sampler indices: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9]... (total: 344)

2024-05-16 16:41:00,031 - root - INFO - Test sampler indices within range.

2024-05-16 16:41:01,972 - root - ERROR - An error occurred: mat1 and mat2 shapes cannot be multiplied (256x32768 and 8192x1024)

2024-05-16 16:42:14,104 - root - INFO - Initializing SpectrogramDataset...

2024-05-16 16:42:14,609 - root - INFO - Dataset object loaded from F:\DATASET\v1\Spectrograms\spectrogram_dataset.pkl

2024-05-16 16:42:14,615 - root - INFO - SpectrogramDataset initialized successfully

2024-05-16 16:42:14,618 - root - INFO - Dataset length: 2288

2024-05-16 16:42:14,619 - root - INFO - Train dataset length: 1601

2024-05-16 16:42:14,619 - root - INFO - Validation dataset length: 343

2024-05-16 16:42:14,620 - root - INFO - Test dataset length: 344

2024-05-16 16:42:18,231 - root - INFO - Train dataset verification passed

2024-05-16 16:42:18,857 - root - INFO - Validation dataset verification passed

2024-05-16 16:42:19,612 - root - INFO - Test dataset verification passed

2024-05-16 16:42:19,614 - root - INFO - Train sampler indices: [1079, 1334, 1520, 1425, 1063, 958, 1569, 283, 389, 1485]... (total: 1601)

2024-05-16 16:42:19,615 - root - INFO - Train sampler indices within range.

2024-05-16 16:42:19,616 - root - INFO - Validation sampler indices: [80, 280, 119, 79, 32, 196, 221, 326, 128, 141]... (total: 343)

2024-05-16 16:42:19,616 - root - INFO - Validation sampler indices within range.

2024-05-16 16:42:19,617 - root - INFO - Test sampler indices: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9]... (total: 344)

2024-05-16 16:42:19,618 - root - INFO - Test sampler indices within range.

2024-05-16 16:42:21,472 - root - ERROR - An error occurred: mat1 and mat2 shapes cannot be multiplied (256x32768 and 8192x1024)

2024-05-16 16:45:00,618 - root - INFO - Initializing SpectrogramDataset...

2024-05-16 16:45:01,133 - root - INFO - Dataset object loaded from F:\DATASET\v1\Spectrograms\spectrogram_dataset.pkl

2024-05-16 16:45:01,138 - root - INFO - SpectrogramDataset initialized successfully

2024-05-16 16:45:01,141 - root - INFO - Dataset length: 2288

2024-05-16 16:45:01,142 - root - INFO - Train dataset length: 1601

2024-05-16 16:45:01,143 - root - INFO - Validation dataset length: 343

2024-05-16 16:45:01,144 - root - INFO - Test dataset length: 344

2024-05-16 16:45:04,845 - root - INFO - Train dataset verification passed

2024-05-16 16:45:05,730 - root - INFO - Validation dataset verification passed

2024-05-16 16:45:06,456 - root - INFO - Test dataset verification passed

2024-05-16 16:45:06,459 - root - INFO - Train sampler indices: [1162, 1145, 1130, 1430, 470, 1266, 178, 1590, 1313, 1475]... (total: 1601)

2024-05-16 16:45:06,459 - root - INFO - Train sampler indices within range.

2024-05-16 16:45:06,461 - root - INFO - Validation sampler indices: [310, 213, 333, 315, 25, 224, 304, 210, 136, 134]... (total: 343)

2024-05-16 16:45:06,461 - root - INFO - Validation sampler indices within range.

2024-05-16 16:45:06,462 - root - INFO - Test sampler indices: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9]... (total: 344)

2024-05-16 16:45:06,462 - root - INFO - Test sampler indices within range.

2024-05-16 16:45:08,309 - root - ERROR - An error occurred: mat1 and mat2 shapes cannot be multiplied (256x32768 and 8192x1024)

2024-05-16 16:48:33,071 - root - INFO - Initializing SpectrogramDataset...

2024-05-16 16:48:33,582 - root - INFO - Dataset object loaded from F:\DATASET\v1\Spectrograms\spectrogram_dataset.pkl

2024-05-16 16:48:33,587 - root - INFO - SpectrogramDataset initialized successfully

2024-05-16 16:48:33,590 - root - INFO - Dataset length: 2288

2024-05-16 16:48:33,591 - root - INFO - Train dataset length: 1601

2024-05-16 16:48:33,591 - root - INFO - Validation dataset length: 343

2024-05-16 16:48:33,592 - root - INFO - Test dataset length: 344

2024-05-16 16:48:37,170 - root - INFO - Train dataset verification passed

2024-05-16 16:48:38,002 - root - INFO - Validation dataset verification passed

2024-05-16 16:48:38,710 - root - INFO - Test dataset verification passed

2024-05-16 16:48:38,713 - root - INFO - Train sampler indices: [937, 1119, 318, 526, 1492, 643, 231, 300, 479, 1239]... (total: 1601)

2024-05-16 16:48:38,713 - root - INFO - Train sampler indices within range.

2024-05-16 16:48:38,714 - root - INFO - Validation sampler indices: [240, 43, 198, 107, 57, 126, 341, 52, 128, 172]... (total: 343)

2024-05-16 16:48:38,715 - root - INFO - Validation sampler indices within range.

2024-05-16 16:48:38,716 - root - INFO - Test sampler indices: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9]... (total: 344)

2024-05-16 16:48:38,716 - root - INFO - Test sampler indices within range.

2024-05-16 16:53:13,787 - root - INFO - Initializing SpectrogramDataset...

2024-05-16 16:53:14,367 - root - INFO - Dataset object loaded from F:\DATASET\v1\Spectrograms\spectrogram_dataset.pkl

2024-05-16 16:53:14,373 - root - INFO - SpectrogramDataset initialized successfully

2024-05-16 16:53:14,376 - root - INFO - Dataset length: 2288

2024-05-16 16:53:14,377 - root - INFO - Train dataset length: 1601

2024-05-16 16:53:14,378 - root - INFO - Validation dataset length: 343

2024-05-16 16:53:14,378 - root - INFO - Test dataset length: 344

2024-05-16 16:53:18,114 - root - INFO - Train dataset verification passed

2024-05-16 16:53:18,700 - root - INFO - Validation dataset verification passed

2024-05-16 16:53:19,364 - root - INFO - Test dataset verification passed

2024-05-16 16:53:19,367 - root - INFO - Train sampler indices: [417, 305, 1305, 1228, 557, 285, 665, 354, 630, 7]... (total: 1601)

2024-05-16 16:53:19,367 - root - INFO - Train sampler indices within range.

2024-05-16 16:53:19,368 - root - INFO - Validation sampler indices: [132, 250, 298, 27, 275, 336, 224, 12, 267, 110]... (total: 343)

2024-05-16 16:53:19,369 - root - INFO - Validation sampler indices within range.

2024-05-16 16:53:19,369 - root - INFO - Test sampler indices: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9]... (total: 344)

2024-05-16 16:53:19,370 - root - INFO - Test sampler indices within range.

2024-05-16 16:54:30,006 - root - ERROR - An error occurred: mat1 and mat2 shapes cannot be multiplied (65x28672 and 32768x1024)

2024-05-16 16:58:46,198 - root - INFO - Initializing SpectrogramDataset...

2024-05-16 16:58:46,715 - root - INFO - Dataset object loaded from F:\DATASET\v1\Spectrograms\spectrogram_dataset.pkl

2024-05-16 16:58:46,720 - root - INFO - SpectrogramDataset initialized successfully

2024-05-16 16:58:46,723 - root - INFO - Dataset length: 2288

2024-05-16 16:58:46,723 - root - INFO - Train dataset length: 1601

2024-05-16 16:58:46,724 - root - INFO - Validation dataset length: 343

2024-05-16 16:58:46,725 - root - INFO - Test dataset length: 344

2024-05-16 16:58:50,330 - root - INFO - Train dataset verification passed

2024-05-16 16:58:51,110 - root - INFO - Validation dataset verification passed

2024-05-16 16:58:51,943 - root - INFO - Test dataset verification passed

2024-05-16 16:58:51,945 - root - INFO - Train sampler indices: [963, 1570, 599, 1093, 923, 1455, 61, 711, 76, 753]... (total: 1601)

2024-05-16 16:58:51,946 - root - INFO - Train sampler indices within range.

2024-05-16 16:58:51,947 - root - INFO - Validation sampler indices: [93, 4, 216, 142, 203, 314, 263, 222, 326, 199]... (total: 343)

2024-05-16 16:58:51,948 - root - INFO - Validation sampler indices within range.

2024-05-16 16:58:51,948 - root - INFO - Test sampler indices: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9]... (total: 344)

2024-05-16 16:58:51,949 - root - INFO - Test sampler indices within range.

2024-05-16 17:01:19,991 - root - INFO - Initializing SpectrogramDataset...

2024-05-16 17:01:20,507 - root - INFO - Dataset object loaded from F:\DATASET\v1\Spectrograms\spectrogram_dataset.pkl

2024-05-16 17:01:20,512 - root - INFO - SpectrogramDataset initialized successfully

2024-05-16 17:01:20,515 - root - INFO - Dataset length: 2288

2024-05-16 17:01:20,516 - root - INFO - Train dataset length: 1601

2024-05-16 17:01:20,516 - root - INFO - Validation dataset length: 343

2024-05-16 17:01:20,517 - root - INFO - Test dataset length: 344

2024-05-16 17:01:23,995 - root - INFO - Train dataset verification passed

2024-05-16 17:01:24,677 - root - INFO - Validation dataset verification passed

2024-05-16 17:01:25,476 - root - INFO - Test dataset verification passed

2024-05-16 17:01:25,479 - root - INFO - Train sampler indices: [1387, 1163, 1160, 689, 400, 288, 1388, 1466, 1248, 921]... (total: 1601)

2024-05-16 17:01:25,479 - root - INFO - Train sampler indices within range.

2024-05-16 17:01:25,480 - root - INFO - Validation sampler indices: [18, 46, 244, 12, 240, 334, 280, 73, 322, 177]... (total: 343)

2024-05-16 17:01:25,481 - root - INFO - Validation sampler indices within range.

2024-05-16 17:01:25,481 - root - INFO - Test sampler indices: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9]... (total: 344)

2024-05-16 17:01:25,482 - root - INFO - Test sampler indices within range.

2024-05-16 17:09:53,291 - root - INFO - Initializing SpectrogramDataset...

2024-05-16 17:09:53,807 - root - INFO - Dataset object loaded from F:\DATASET\v1\Spectrograms\spectrogram_dataset.pkl

2024-05-16 17:09:53,965 - root - INFO - SpectrogramDataset initialized successfully

2024-05-16 17:09:53,968 - root - INFO - Dataset length: 2288

2024-05-16 17:09:53,969 - root - INFO - Train dataset length: 1601

2024-05-16 17:09:53,970 - root - INFO - Validation dataset length: 343

2024-05-16 17:09:53,971 - root - INFO - Test dataset length: 344

2024-05-16 17:09:57,660 - root - INFO - Train dataset verification passed

2024-05-16 17:09:58,343 - root - INFO - Validation dataset verification passed

2024-05-16 17:09:59,001 - root - INFO - Test dataset verification passed

2024-05-16 17:09:59,004 - root - INFO - Train sampler indices: [1020, 1164, 378, 1445, 1077, 545, 635, 390, 489, 52]... (total: 1601)

2024-05-16 17:09:59,004 - root - INFO - Train sampler indices within range.

2024-05-16 17:09:59,006 - root - INFO - Validation sampler indices: [317, 276, 168, 294, 80, 262, 68, 152, 337, 193]... (total: 343)

2024-05-16 17:09:59,006 - root - INFO - Validation sampler indices within range.

2024-05-16 17:09:59,007 - root - INFO - Test sampler indices: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9]... (total: 344)

2024-05-16 17:09:59,007 - root - INFO - Test sampler indices within range.

2024-05-16 17:14:42,976 - root - INFO - Initializing SpectrogramDataset...

2024-05-16 17:14:43,536 - root - INFO - Dataset object loaded from F:\DATASET\v1\Spectrograms\spectrogram_dataset.pkl

2024-05-16 17:14:43,541 - root - INFO - SpectrogramDataset initialized successfully

2024-05-16 17:14:43,544 - root - INFO - Dataset length: 2288

2024-05-16 17:14:43,544 - root - INFO - Train dataset length: 1601

2024-05-16 17:14:43,545 - root - INFO - Validation dataset length: 343

2024-05-16 17:14:43,546 - root - INFO - Test dataset length: 344

2024-05-16 17:14:47,402 - root - INFO - Train dataset verification passed

2024-05-16 17:14:48,119 - root - INFO - Validation dataset verification passed

2024-05-16 17:14:48,836 - root - INFO - Test dataset verification passed

2024-05-16 17:14:48,839 - root - INFO - Train sampler indices: [51, 468, 1020, 401, 1069, 884, 566, 1287, 1280, 514]... (total: 1601)

2024-05-16 17:14:48,839 - root - INFO - Train sampler indices within range.

2024-05-16 17:14:48,840 - root - INFO - Validation sampler indices: [40, 77, 104, 254, 113, 284, 119, 195, 133, 4]... (total: 343)

2024-05-16 17:14:48,841 - root - INFO - Validation sampler indices within range.

2024-05-16 17:14:48,841 - root - INFO - Test sampler indices: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9]... (total: 344)

2024-05-16 17:14:48,842 - root - INFO - Test sampler indices within range.

2024-05-16 17:16:34,292 - root - INFO - Initializing SpectrogramDataset...

2024-05-16 17:16:34,820 - root - INFO - Dataset object loaded from F:\DATASET\v1\Spectrograms\spectrogram_dataset.pkl

2024-05-16 17:16:34,825 - root - INFO - SpectrogramDataset initialized successfully

2024-05-16 17:16:34,828 - root - INFO - Dataset length: 2288

2024-05-16 17:16:34,829 - root - INFO - Train dataset length: 1601

2024-05-16 17:16:34,830 - root - INFO - Validation dataset length: 343

2024-05-16 17:16:34,831 - root - INFO - Test dataset length: 344

2024-05-16 17:16:38,483 - root - INFO - Train dataset verification passed

2024-05-16 17:16:39,261 - root - INFO - Validation dataset verification passed

2024-05-16 17:16:40,178 - root - INFO - Test dataset verification passed

2024-05-16 17:16:40,182 - root - INFO - Train sampler indices: [161, 1459, 1297, 1364, 621, 261, 361, 1526, 159, 676]... (total: 1601)

2024-05-16 17:16:40,182 - root - INFO - Train sampler indices within range.

2024-05-16 17:16:40,183 - root - INFO - Validation sampler indices: [108, 159, 16, 2, 255, 169, 322, 176, 257, 319]... (total: 343)

2024-05-16 17:16:40,184 - root - INFO - Validation sampler indices within range.

2024-05-16 17:16:40,185 - root - INFO - Test sampler indices: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9]... (total: 344)

2024-05-16 17:16:40,185 - root - INFO - Test sampler indices within range.

2024-05-16 17:22:38,962 - root - INFO - Initializing SpectrogramDataset...

2024-05-16 17:22:39,476 - root - INFO - Dataset object loaded from F:\DATASET\v1\Spectrograms\spectrogram_dataset.pkl

2024-05-16 17:22:39,482 - root - INFO - SpectrogramDataset initialized successfully

2024-05-16 17:22:39,484 - root - INFO - Dataset length: 2288

2024-05-16 17:22:39,485 - root - INFO - Train dataset length: 1601

2024-05-16 17:22:39,486 - root - INFO - Validation dataset length: 343

2024-05-16 17:22:39,486 - root - INFO - Test dataset length: 344

2024-05-16 17:22:43,533 - root - INFO - Train dataset verification passed

2024-05-16 17:22:44,327 - root - INFO - Validation dataset verification passed

2024-05-16 17:22:45,030 - root - INFO - Test dataset verification passed

2024-05-16 17:22:45,033 - root - INFO - Train sampler indices: [118, 829, 811, 1417, 665, 623, 127, 1084, 1138, 1530]... (total: 1601)

2024-05-16 17:22:45,033 - root - INFO - Train sampler indices within range.

2024-05-16 17:22:45,035 - root - INFO - Validation sampler indices: [143, 9, 118, 218, 205, 141, 320, 39, 336, 33]... (total: 343)

2024-05-16 17:22:45,035 - root - INFO - Validation sampler indices within range.

2024-05-16 17:22:45,036 - root - INFO - Test sampler indices: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9]... (total: 344)

2024-05-16 17:22:45,036 - root - INFO - Test sampler indices within range.

2024-05-16 17:25:24,529 - root - INFO - Initializing SpectrogramDataset...

2024-05-16 17:25:25,119 - root - INFO - Dataset object loaded from F:\DATASET\v1\Spectrograms\spectrogram_dataset.pkl

2024-05-16 17:25:25,125 - root - INFO - SpectrogramDataset initialized successfully

2024-05-16 17:25:25,128 - root - INFO - Dataset length: 2288

2024-05-16 17:25:25,129 - root - INFO - Train dataset length: 1601

2024-05-16 17:25:25,130 - root - INFO - Validation dataset length: 343

2024-05-16 17:25:25,131 - root - INFO - Test dataset length: 344

2024-05-16 17:25:28,714 - root - INFO - Train dataset verification passed

2024-05-16 17:25:29,462 - root - INFO - Validation dataset verification passed

2024-05-16 17:25:30,173 - root - INFO - Test dataset verification passed

2024-05-16 17:25:30,176 - root - INFO - Train sampler indices: [902, 936, 524, 793, 626, 1586, 205, 1589, 421, 1497]... (total: 1601)

2024-05-16 17:25:30,176 - root - INFO - Train sampler indices within range.

2024-05-16 17:25:30,177 - root - INFO - Validation sampler indices: [231, 277, 199, 19, 226, 308, 339, 291, 36, 148]... (total: 343)

2024-05-16 17:25:30,178 - root - INFO - Validation sampler indices within range.

2024-05-16 17:25:30,178 - root - INFO - Test sampler indices: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9]... (total: 344)

2024-05-16 17:25:30,179 - root - INFO - Test sampler indices within range.

2024-05-16 17:27:12,712 - root - INFO - Initializing SpectrogramDataset...

2024-05-16 17:27:13,220 - root - INFO - Dataset object loaded from F:\DATASET\v1\Spectrograms\spectrogram_dataset.pkl

2024-05-16 17:27:13,226 - root - INFO - SpectrogramDataset initialized successfully

2024-05-16 17:27:13,229 - root - INFO - Dataset length: 2288

2024-05-16 17:27:13,230 - root - INFO - Train dataset length: 1601

2024-05-16 17:27:13,231 - root - INFO - Validation dataset length: 343

2024-05-16 17:27:13,231 - root - INFO - Test dataset length: 344

2024-05-16 17:27:16,751 - root - INFO - Train dataset verification passed

2024-05-16 17:27:17,505 - root - INFO - Validation dataset verification passed

2024-05-16 17:27:18,216 - root - INFO - Test dataset verification passed

2024-05-16 17:27:18,219 - root - INFO - Train sampler indices: [554, 203, 939, 1461, 214, 1459, 1, 114, 1008, 835]... (total: 1601)

2024-05-16 17:27:18,219 - root - INFO - Train sampler indices within range.

2024-05-16 17:27:18,221 - root - INFO - Validation sampler indices: [134, 260, 160, 205, 259, 177, 241, 41, 48, 58]... (total: 343)

2024-05-16 17:27:18,221 - root - INFO - Validation sampler indices within range.

2024-05-16 17:27:18,222 - root - INFO - Test sampler indices: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9]... (total: 344)

2024-05-16 17:27:18,222 - root - INFO - Test sampler indices within range.

2024-05-16 17:32:36,459 - root - INFO - Initializing SpectrogramDataset...

2024-05-16 17:32:37,002 - root - INFO - Dataset object loaded from F:\DATASET\v1\Spectrograms\spectrogram_dataset.pkl

2024-05-16 17:32:37,008 - root - INFO - SpectrogramDataset initialized successfully

2024-05-16 17:32:37,011 - root - INFO - Dataset length: 2288

2024-05-16 17:32:37,012 - root - INFO - Train dataset length: 1601

2024-05-16 17:32:37,013 - root - INFO - Validation dataset length: 343

2024-05-16 17:32:37,014 - root - INFO - Test dataset length: 344

2024-05-16 17:32:40,988 - root - INFO - Train dataset verification passed

2024-05-16 17:32:41,669 - root - INFO - Validation dataset verification passed

2024-05-16 17:32:42,237 - root - INFO - Test dataset verification passed

2024-05-16 17:32:42,239 - root - INFO - Train sampler indices: [1107, 648, 26, 1289, 277, 753, 139, 1574, 579, 566]... (total: 1601)

2024-05-16 17:32:42,240 - root - INFO - Train sampler indices within range.

2024-05-16 17:32:42,241 - root - INFO - Validation sampler indices: [324, 93, 175, 231, 205, 84, 1, 66, 140, 120]... (total: 343)

2024-05-16 17:32:42,242 - root - INFO - Validation sampler indices within range.

2024-05-16 17:32:42,242 - root - INFO - Test sampler indices: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9]... (total: 344)

2024-05-16 17:32:42,243 - root - INFO - Test sampler indices within range.

2024-05-16 17:35:48,077 - root - INFO - Initializing SpectrogramDataset...

2024-05-16 17:35:48,610 - root - INFO - Dataset object loaded from F:\DATASET\v1\Spectrograms\spectrogram_dataset.pkl

2024-05-16 17:35:48,614 - root - INFO - SpectrogramDataset initialized successfully

2024-05-16 17:35:48,617 - root - INFO - Dataset length: 2288

2024-05-16 17:35:48,618 - root - INFO - Train dataset length: 1601

2024-05-16 17:35:48,619 - root - INFO - Validation dataset length: 343

2024-05-16 17:35:48,619 - root - INFO - Test dataset length: 344

2024-05-16 17:35:52,394 - root - INFO - Train dataset verification passed

2024-05-16 17:35:53,318 - root - INFO - Validation dataset verification passed

2024-05-16 17:35:54,123 - root - INFO - Test dataset verification passed

2024-05-16 17:35:54,127 - root - INFO - Train sampler indices: [927, 1138, 180, 622, 0, 824, 702, 784, 273, 1378]... (total: 1601)

2024-05-16 17:35:54,127 - root - INFO - Train sampler indices within range.

2024-05-16 17:35:54,129 - root - INFO - Validation sampler indices: [192, 283, 183, 187, 227, 32, 199, 268, 174, 259]... (total: 343)

2024-05-16 17:35:54,130 - root - INFO - Validation sampler indices within range.

2024-05-16 17:35:54,131 - root - INFO - Test sampler indices: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9]... (total: 344)

2024-05-16 17:35:54,132 - root - INFO - Test sampler indices within range.

2024-05-16 17:36:27,073 - root - INFO - Initializing SpectrogramDataset...

2024-05-16 17:36:27,582 - root - INFO - Dataset object loaded from F:\DATASET\v1\Spectrograms\spectrogram_dataset.pkl

2024-05-16 17:36:27,587 - root - INFO - SpectrogramDataset initialized successfully

2024-05-16 17:36:27,590 - root - INFO - Dataset length: 2288

2024-05-16 17:36:27,591 - root - INFO - Train dataset length: 1601

2024-05-16 17:36:27,592 - root - INFO - Validation dataset length: 343

2024-05-16 17:36:27,593 - root - INFO - Test dataset length: 344

2024-05-16 17:36:31,059 - root - INFO - Train dataset verification passed

2024-05-16 17:36:31,803 - root - INFO - Validation dataset verification passed

2024-05-16 17:36:32,610 - root - INFO - Test dataset verification passed

2024-05-16 17:36:32,613 - root - INFO - Train sampler indices: [837, 328, 1195, 909, 1489, 664, 151, 1415, 267, 484]... (total: 1601)

2024-05-16 17:36:32,613 - root - INFO - Train sampler indices within range.

2024-05-16 17:36:32,615 - root - INFO - Validation sampler indices: [123, 143, 321, 66, 222, 160, 292, 324, 64, 103]... (total: 343)

2024-05-16 17:36:32,615 - root - INFO - Validation sampler indices within range.

2024-05-16 17:36:32,616 - root - INFO - Test sampler indices: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9]... (total: 344)

2024-05-16 17:36:32,617 - root - INFO - Test sampler indices within range.

2024-05-16 17:38:25,497 - root - INFO - Initializing SpectrogramDataset...

2024-05-16 17:38:26,055 - root - INFO - Dataset object loaded from F:\DATASET\v1\Spectrograms\spectrogram_dataset.pkl

2024-05-16 17:38:26,060 - root - INFO - SpectrogramDataset initialized successfully

2024-05-16 17:38:26,063 - root - INFO - Dataset length: 2288

2024-05-16 17:38:26,064 - root - INFO - Train dataset length: 1601

2024-05-16 17:38:26,064 - root - INFO - Validation dataset length: 343

2024-05-16 17:38:26,065 - root - INFO - Test dataset length: 344

2024-05-16 17:38:29,643 - root - INFO - Train dataset verification passed

2024-05-16 17:38:30,352 - root - INFO - Validation dataset verification passed

2024-05-16 17:38:31,124 - root - INFO - Test dataset verification passed

2024-05-16 17:38:31,127 - root - INFO - Train sampler indices: [175, 1137, 485, 1569, 1512, 540, 916, 448, 467, 1365]... (total: 1601)

2024-05-16 17:38:31,127 - root - INFO - Train sampler indices within range.

2024-05-16 17:38:31,129 - root - INFO - Validation sampler indices: [79, 304, 232, 145, 290, 57, 301, 45, 261, 97]... (total: 343)

2024-05-16 17:38:31,129 - root - INFO - Validation sampler indices within range.

2024-05-16 17:38:31,130 - root - INFO - Test sampler indices: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9]... (total: 344)

2024-05-16 17:38:31,130 - root - INFO - Test sampler indices within range.

2024-05-16 17:42:09,758 - root - INFO - Initializing SpectrogramDataset...

2024-05-16 17:42:10,265 - root - INFO - Dataset object loaded from F:\DATASET\v1\Spectrograms\spectrogram_dataset.pkl

2024-05-16 17:42:10,270 - root - INFO - SpectrogramDataset initialized successfully

2024-05-16 17:42:10,273 - root - INFO - Dataset length: 2288

2024-05-16 17:42:10,274 - root - INFO - Train dataset length: 1601

2024-05-16 17:42:10,274 - root - INFO - Validation dataset length: 343

2024-05-16 17:42:10,275 - root - INFO - Test dataset length: 344

2024-05-16 17:42:13,857 - root - INFO - Train dataset verification passed

2024-05-16 17:42:14,445 - root - INFO - Validation dataset verification passed

2024-05-16 17:42:15,193 - root - INFO - Test dataset verification passed

2024-05-16 17:42:15,195 - root - INFO - Train sampler indices: [480, 1221, 1063, 1056, 567, 1140, 877, 909, 686, 1147]... (total: 1601)

2024-05-16 17:42:15,195 - root - INFO - Train sampler indices within range.

2024-05-16 17:42:15,196 - root - INFO - Validation sampler indices: [12, 273, 22, 283, 14, 231, 4, 316, 229, 232]... (total: 343)

2024-05-16 17:42:15,197 - root - INFO - Validation sampler indices within range.

2024-05-16 17:42:15,198 - root - INFO - Test sampler indices: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9]... (total: 344)

2024-05-16 17:42:15,198 - root - INFO - Test sampler indices within range.

2024-05-16 19:59:59,273 - root - INFO - Epoch 1:

Training Loss: 1.5577, Training Accuracy: 0.3242, Validation Loss: 1.6561, Validation Accuracy: 0.1603



2024-05-16 19:59:59,275 - root - INFO - Current learning rate: 0.00014687223021475341

2024-05-16 20:00:16,791 - root - INFO - Epoch 2:

Training Loss: 1.1934, Training Accuracy: 0.5572, Validation Loss: 1.6995, Validation Accuracy: 0.1545



2024-05-16 20:00:16,792 - root - INFO - Current learning rate: 0.00014687223021475341

2024-05-16 20:00:33,986 - root - INFO - Epoch 3:

Training Loss: 1.0130, Training Accuracy: 0.6140, Validation Loss: 1.6373, Validation Accuracy: 0.1983



2024-05-16 20:00:33,987 - root - INFO - Current learning rate: 0.00014687223021475341

2024-05-16 20:00:51,043 - root - INFO - Epoch 4:

Training Loss: 0.9106, Training Accuracy: 0.6452, Validation Loss: 1.6587, Validation Accuracy: 0.3586



2024-05-16 20:00:51,044 - root - INFO - Current learning rate: 0.00014687223021475341

2024-05-16 20:01:07,976 - root - INFO - Epoch 5:

Training Loss: 0.8757, Training Accuracy: 0.6377, Validation Loss: 0.9697, Validation Accuracy: 0.6501



2024-05-16 20:01:07,977 - root - INFO - Current learning rate: 0.00014687223021475341

2024-05-16 20:01:25,453 - root - INFO - Epoch 6:

Training Loss: 0.7976, Training Accuracy: 0.6677, Validation Loss: 0.8183, Validation Accuracy: 0.6618



2024-05-16 20:01:25,454 - root - INFO - Current learning rate: 0.00014687223021475341

2024-05-16 20:01:42,979 - root - INFO - Epoch 7:

Training Loss: 0.7621, Training Accuracy: 0.7021, Validation Loss: 0.8188, Validation Accuracy: 0.6822



2024-05-16 20:01:42,980 - root - INFO - Current learning rate: 0.00014687223021475341

2024-05-16 20:02:00,123 - root - INFO - Epoch 8:

Training Loss: 0.7261, Training Accuracy: 0.7164, Validation Loss: 0.8117, Validation Accuracy: 0.6939



2024-05-16 20:02:00,124 - root - INFO - Current learning rate: 0.00014687223021475341

2024-05-16 20:02:17,571 - root - INFO - Epoch 9:

Training Loss: 0.6669, Training Accuracy: 0.7439, Validation Loss: 1.3692, Validation Accuracy: 0.4111



2024-05-16 20:02:17,572 - root - INFO - Current learning rate: 0.00014687223021475341

2024-05-16 20:02:35,083 - root - INFO - Epoch 10:

Training Loss: 0.6629, Training Accuracy: 0.7383, Validation Loss: 1.0841, Validation Accuracy: 0.5656



2024-05-16 20:02:35,084 - root - INFO - Current learning rate: 0.00014687223021475341

2024-05-16 20:02:35,156 - root - INFO - Model saved to checkpoint_epoch_10.pth

2024-05-16 20:02:52,706 - root - INFO - Epoch 11:

Training Loss: 0.6576, Training Accuracy: 0.7639, Validation Loss: 1.1429, Validation Accuracy: 0.4985



2024-05-16 20:02:52,706 - root - INFO - Current learning rate: 0.00014687223021475341

2024-05-16 20:03:09,804 - root - INFO - Epoch 12:

Training Loss: 0.6069, Training Accuracy: 0.7758, Validation Loss: 0.6139, Validation Accuracy: 0.7580



2024-05-16 20:03:09,805 - root - INFO - Current learning rate: 0.00014687223021475341

2024-05-16 20:03:27,549 - root - INFO - Epoch 13:

Training Loss: 0.6503, Training Accuracy: 0.7676, Validation Loss: 0.7179, Validation Accuracy: 0.7405



2024-05-16 20:03:27,550 - root - INFO - Current learning rate: 0.00014687223021475341

2024-05-16 20:03:45,089 - root - INFO - Epoch 14:

Training Loss: 0.6080, Training Accuracy: 0.7739, Validation Loss: 0.8486, Validation Accuracy: 0.6735



2024-05-16 20:03:45,090 - root - INFO - Current learning rate: 0.00014687223021475341

2024-05-16 20:04:02,210 - root - INFO - Epoch 15:

Training Loss: 0.5748, Training Accuracy: 0.7901, Validation Loss: 0.5868, Validation Accuracy: 0.7813



2024-05-16 20:04:02,211 - root - INFO - Current learning rate: 0.00014687223021475341

2024-05-16 20:04:20,031 - root - INFO - Epoch 16:

Training Loss: 0.5869, Training Accuracy: 0.7914, Validation Loss: 0.6960, Validation Accuracy: 0.7551



2024-05-16 20:04:20,033 - root - INFO - Current learning rate: 0.00014687223021475341

2024-05-16 20:04:37,050 - root - INFO - Epoch 17:

Training Loss: 0.5558, Training Accuracy: 0.8082, Validation Loss: 0.8577, Validation Accuracy: 0.6297



2024-05-16 20:04:37,051 - root - INFO - Current learning rate: 0.00014687223021475341

2024-05-16 20:04:54,387 - root - INFO - Epoch 18:

Training Loss: 0.4989, Training Accuracy: 0.8126, Validation Loss: 0.7182, Validation Accuracy: 0.7230



2024-05-16 20:04:54,388 - root - INFO - Current learning rate: 0.00014687223021475341

2024-05-16 20:05:11,701 - root - INFO - Epoch 19:

Training Loss: 0.4998, Training Accuracy: 0.8239, Validation Loss: 1.1774, Validation Accuracy: 0.5073



2024-05-16 20:05:11,702 - root - INFO - Current learning rate: 1.4687223021475341e-05

2024-05-16 20:05:28,909 - root - INFO - Epoch 20:

Training Loss: 0.4958, Training Accuracy: 0.8245, Validation Loss: 0.6923, Validation Accuracy: 0.7201



2024-05-16 20:05:28,910 - root - INFO - Current learning rate: 1.4687223021475341e-05

2024-05-16 20:05:29,023 - root - INFO - Model saved to checkpoint_epoch_20.pth

2024-05-16 20:05:46,100 - root - INFO - Epoch 21:

Training Loss: 0.4622, Training Accuracy: 0.8332, Validation Loss: 0.5315, Validation Accuracy: 0.8017



2024-05-16 20:05:46,101 - root - INFO - Current learning rate: 1.4687223021475341e-05

2024-05-16 20:06:03,727 - root - INFO - Epoch 22:

Training Loss: 0.4357, Training Accuracy: 0.8463, Validation Loss: 0.4926, Validation Accuracy: 0.8163



2024-05-16 20:06:03,728 - root - INFO - Current learning rate: 1.4687223021475341e-05

2024-05-16 20:06:21,316 - root - INFO - Epoch 23:

Training Loss: 0.4551, Training Accuracy: 0.8332, Validation Loss: 0.5084, Validation Accuracy: 0.8105



2024-05-16 20:06:21,318 - root - INFO - Current learning rate: 1.4687223021475341e-05

2024-05-16 20:06:38,567 - root - INFO - Epoch 24:

Training Loss: 0.4457, Training Accuracy: 0.8326, Validation Loss: 0.4975, Validation Accuracy: 0.8309



2024-05-16 20:06:38,568 - root - INFO - Current learning rate: 1.4687223021475341e-05

2024-05-16 20:06:55,865 - root - INFO - Epoch 25:

Training Loss: 0.4442, Training Accuracy: 0.8445, Validation Loss: 0.5614, Validation Accuracy: 0.7726



2024-05-16 20:06:55,866 - root - INFO - Current learning rate: 1.4687223021475341e-05

2024-05-16 20:07:12,862 - root - INFO - Epoch 26:

Training Loss: 0.4198, Training Accuracy: 0.8482, Validation Loss: 0.5582, Validation Accuracy: 0.7872



2024-05-16 20:07:12,863 - root - INFO - Current learning rate: 1.4687223021475343e-06

2024-05-16 20:07:29,969 - root - INFO - Epoch 27:

Training Loss: 0.4044, Training Accuracy: 0.8576, Validation Loss: 0.5670, Validation Accuracy: 0.7784



2024-05-16 20:07:29,970 - root - INFO - Current learning rate: 1.4687223021475343e-06

2024-05-16 20:07:47,649 - root - INFO - Epoch 28:

Training Loss: 0.3945, Training Accuracy: 0.8638, Validation Loss: 0.5677, Validation Accuracy: 0.7930



2024-05-16 20:07:47,650 - root - INFO - Current learning rate: 1.4687223021475343e-06

2024-05-16 20:08:05,090 - root - INFO - Epoch 29:

Training Loss: 0.4371, Training Accuracy: 0.8463, Validation Loss: 0.5071, Validation Accuracy: 0.8105



2024-05-16 20:08:05,091 - root - INFO - Current learning rate: 1.4687223021475343e-06

2024-05-16 20:08:22,390 - root - INFO - Epoch 30:

Training Loss: 0.3655, Training Accuracy: 0.8713, Validation Loss: 0.5345, Validation Accuracy: 0.8105



2024-05-16 20:08:22,391 - root - INFO - Current learning rate: 1.4687223021475343e-07

2024-05-16 20:08:22,461 - root - INFO - Model saved to checkpoint_epoch_30.pth

2024-05-16 20:08:39,718 - root - INFO - Epoch 31:

Training Loss: 0.4207, Training Accuracy: 0.8376, Validation Loss: 0.4701, Validation Accuracy: 0.8426



2024-05-16 20:08:39,719 - root - INFO - Current learning rate: 1.4687223021475343e-07

2024-05-16 20:08:57,038 - root - INFO - Epoch 32:

Training Loss: 0.4016, Training Accuracy: 0.8588, Validation Loss: 0.5002, Validation Accuracy: 0.8251



2024-05-16 20:08:57,039 - root - INFO - Current learning rate: 1.4687223021475343e-07

2024-05-16 20:09:14,469 - root - INFO - Epoch 33:

Training Loss: 0.3913, Training Accuracy: 0.8507, Validation Loss: 0.5197, Validation Accuracy: 0.8192



2024-05-16 20:09:14,470 - root - INFO - Current learning rate: 1.4687223021475343e-07

2024-05-16 20:09:31,318 - root - INFO - Epoch 34:

Training Loss: 0.3930, Training Accuracy: 0.8582, Validation Loss: 0.5009, Validation Accuracy: 0.8163



2024-05-16 20:09:31,319 - root - INFO - Current learning rate: 1.4687223021475343e-07

2024-05-16 20:09:48,349 - root - INFO - Epoch 35:

Training Loss: 0.4068, Training Accuracy: 0.8582, Validation Loss: 0.5252, Validation Accuracy: 0.8017



2024-05-16 20:09:48,350 - root - INFO - Current learning rate: 1.4687223021475344e-08

2024-05-16 20:10:05,715 - root - INFO - Epoch 36:

Training Loss: 0.3837, Training Accuracy: 0.8626, Validation Loss: 0.4920, Validation Accuracy: 0.8222



2024-05-16 20:10:05,716 - root - INFO - Current learning rate: 1.4687223021475344e-08

2024-05-16 20:10:22,830 - root - INFO - Epoch 37:

Training Loss: 0.3958, Training Accuracy: 0.8551, Validation Loss: 0.5132, Validation Accuracy: 0.8017



2024-05-16 20:10:22,831 - root - INFO - Current learning rate: 1.4687223021475344e-08

2024-05-16 20:10:39,743 - root - INFO - Epoch 38:

Training Loss: 0.4118, Training Accuracy: 0.8545, Validation Loss: 0.4982, Validation Accuracy: 0.8222



2024-05-16 20:10:39,744 - root - INFO - Current learning rate: 1.4687223021475344e-08

2024-05-16 20:10:56,961 - root - INFO - Epoch 39:

Training Loss: 0.3992, Training Accuracy: 0.8501, Validation Loss: 0.5586, Validation Accuracy: 0.7813



2024-05-16 20:10:56,962 - root - INFO - Current learning rate: 1.4687223021475344e-09

2024-05-16 20:11:14,143 - root - INFO - Epoch 40:

Training Loss: 0.4223, Training Accuracy: 0.8407, Validation Loss: 0.5121, Validation Accuracy: 0.8017



2024-05-16 20:11:14,144 - root - INFO - Current learning rate: 1.4687223021475344e-09

2024-05-16 20:11:14,223 - root - INFO - Model saved to checkpoint_epoch_40.pth

2024-05-16 20:11:31,461 - root - INFO - Epoch 41:

Training Loss: 0.4029, Training Accuracy: 0.8570, Validation Loss: 0.4884, Validation Accuracy: 0.8280



2024-05-16 20:11:31,462 - root - INFO - Current learning rate: 1.4687223021475344e-09

2024-05-16 20:11:48,923 - root - INFO - Epoch 42:

Training Loss: 0.3903, Training Accuracy: 0.8526, Validation Loss: 0.5349, Validation Accuracy: 0.8017



2024-05-16 20:11:48,924 - root - INFO - Current learning rate: 1.4687223021475344e-09

2024-05-16 20:12:06,239 - root - INFO - Epoch 43:

Training Loss: 0.3991, Training Accuracy: 0.8595, Validation Loss: 0.5401, Validation Accuracy: 0.7784



2024-05-16 20:12:06,240 - root - INFO - Current learning rate: 1.4687223021475344e-09

2024-05-16 20:12:23,515 - root - INFO - Epoch 44:

Training Loss: 0.4197, Training Accuracy: 0.8395, Validation Loss: 0.5497, Validation Accuracy: 0.7872



2024-05-16 20:12:23,516 - root - INFO - Current learning rate: 1.4687223021475344e-09

2024-05-16 20:12:40,642 - root - INFO - Epoch 45:

Training Loss: 0.4323, Training Accuracy: 0.8438, Validation Loss: 0.5315, Validation Accuracy: 0.8076



2024-05-16 20:12:40,643 - root - INFO - Current learning rate: 1.4687223021475344e-09

2024-05-16 20:12:58,112 - root - INFO - Epoch 46:

Training Loss: 0.3983, Training Accuracy: 0.8557, Validation Loss: 0.5449, Validation Accuracy: 0.7959



2024-05-16 20:12:58,113 - root - INFO - Current learning rate: 1.4687223021475344e-09

2024-05-16 20:13:15,440 - root - INFO - Epoch 47:

Training Loss: 0.3883, Training Accuracy: 0.8545, Validation Loss: 0.5234, Validation Accuracy: 0.8076



2024-05-16 20:13:15,441 - root - INFO - Current learning rate: 1.4687223021475344e-09

2024-05-16 20:13:32,209 - root - INFO - Epoch 48:

Training Loss: 0.4173, Training Accuracy: 0.8432, Validation Loss: 0.5416, Validation Accuracy: 0.7930



2024-05-16 20:13:32,210 - root - INFO - Current learning rate: 1.4687223021475344e-09

2024-05-16 20:13:49,067 - root - INFO - Epoch 49:

Training Loss: 0.4379, Training Accuracy: 0.8389, Validation Loss: 0.5227, Validation Accuracy: 0.8076



2024-05-16 20:13:49,068 - root - INFO - Current learning rate: 1.4687223021475344e-09

2024-05-16 20:14:06,293 - root - INFO - Epoch 50:

Training Loss: 0.4189, Training Accuracy: 0.8389, Validation Loss: 0.5142, Validation Accuracy: 0.8076



2024-05-16 20:14:06,294 - root - INFO - Current learning rate: 1.4687223021475344e-09

2024-05-16 20:14:06,363 - root - INFO - Model saved to checkpoint_epoch_50.pth

2024-05-16 20:14:07,450 - root - INFO -               precision    recall  f1-score   support



         808       0.89      0.93      0.91        44

        Clap       0.51      0.79      0.62        24

  Closed Hat       0.77      0.81      0.79        54

        Kick       0.93      0.89      0.91       114

    Open Hat       0.80      0.76      0.78        21

       Snare       0.80      0.69      0.74        87



    accuracy                           0.82       344

   macro avg       0.78      0.81      0.79       344

weighted avg       0.83      0.82      0.82       344



2024-05-16 22:00:46,650 - root - INFO - Initializing SpectrogramDataset...

2024-05-16 22:00:47,165 - root - INFO - Dataset object loaded from F:\DATASET\v1\Spectrograms\spectrogram_dataset.pkl

2024-05-16 22:00:47,171 - root - INFO - SpectrogramDataset initialized successfully

2024-05-16 22:00:47,377 - root - ERROR - An error occurred: name 'nn' is not defined

2024-05-16 22:01:22,777 - root - INFO - Initializing SpectrogramDataset...

2024-05-16 22:01:23,295 - root - INFO - Dataset object loaded from F:\DATASET\v1\Spectrograms\spectrogram_dataset.pkl

2024-05-16 22:01:23,300 - root - INFO - SpectrogramDataset initialized successfully

2024-05-16 22:01:42,720 - root - INFO - Epoch 1:

Training Loss: 1.5260, Training Accuracy: 0.3385, Validation Loss: 1.6393, Validation Accuracy: 0.2624



2024-05-16 22:01:42,722 - root - INFO - Current learning rate: 0.00014687223021475341

2024-05-16 22:02:00,523 - root - INFO - Epoch 2:

Training Loss: 1.2230, Training Accuracy: 0.5228, Validation Loss: 1.5649, Validation Accuracy: 0.3120



2024-05-16 22:02:00,524 - root - INFO - Current learning rate: 0.00014687223021475341

2024-05-16 22:02:18,855 - root - INFO - Epoch 3:

Training Loss: 1.0560, Training Accuracy: 0.5853, Validation Loss: 1.5721, Validation Accuracy: 0.2886



2024-05-16 22:02:18,856 - root - INFO - Current learning rate: 0.00014687223021475341

2024-05-16 22:02:37,163 - root - INFO - Epoch 4:

Training Loss: 0.9178, Training Accuracy: 0.6221, Validation Loss: 1.5178, Validation Accuracy: 0.3644



2024-05-16 22:02:37,165 - root - INFO - Current learning rate: 0.00014687223021475341

2024-05-16 22:06:42,042 - root - INFO - Initializing SpectrogramDataset...

2024-05-16 22:06:42,551 - root - INFO - Dataset object loaded from F:\DATASET\v1\Spectrograms\spectrogram_dataset.pkl

2024-05-16 22:06:42,556 - root - INFO - SpectrogramDataset initialized successfully

2024-05-16 22:06:42,755 - root - ERROR - An error occurred: name 'nn' is not defined

2024-05-16 22:07:15,641 - root - INFO - Initializing SpectrogramDataset...

2024-05-16 22:07:16,161 - root - INFO - Dataset object loaded from F:\DATASET\v1\Spectrograms\spectrogram_dataset.pkl

2024-05-16 22:07:16,166 - root - INFO - SpectrogramDataset initialized successfully

2024-05-16 22:07:16,465 - root - INFO - Loaded the best model from previous training.

2024-05-16 22:07:34,862 - root - INFO - Epoch 1:

Training Loss: 0.5570, Training Accuracy: 0.7951, Validation Loss: 1.7239, Validation Accuracy: 0.5539



2024-05-16 22:07:34,863 - root - INFO - Current learning rate: 0.00014687223021475341

2024-05-16 22:07:51,864 - root - INFO - Epoch 2:

Training Loss: 0.5908, Training Accuracy: 0.7851, Validation Loss: 0.7348, Validation Accuracy: 0.7318



2024-05-16 22:07:51,865 - root - INFO - Current learning rate: 0.00014687223021475341

2024-05-16 22:08:09,242 - root - INFO - Epoch 3:

Training Loss: 0.5201, Training Accuracy: 0.8201, Validation Loss: 0.7574, Validation Accuracy: 0.7114



2024-05-16 22:08:09,244 - root - INFO - Current learning rate: 0.00014687223021475341

2024-05-16 22:08:25,962 - root - INFO - Epoch 4:

Training Loss: 0.4979, Training Accuracy: 0.8176, Validation Loss: 0.7149, Validation Accuracy: 0.7143



2024-05-16 22:08:25,963 - root - INFO - Current learning rate: 0.00014687223021475341

2024-05-16 22:08:43,336 - root - INFO - Epoch 5:

Training Loss: 0.4966, Training Accuracy: 0.8189, Validation Loss: 0.6777, Validation Accuracy: 0.7522



2024-05-16 22:08:43,337 - root - INFO - Current learning rate: 0.00014687223021475341

2024-05-16 22:09:00,375 - root - INFO - Epoch 6:

Training Loss: 0.4906, Training Accuracy: 0.8276, Validation Loss: 0.6189, Validation Accuracy: 0.7551



2024-05-16 22:09:00,376 - root - INFO - Current learning rate: 0.00014687223021475341

2024-05-16 22:09:17,365 - root - INFO - Epoch 7:

Training Loss: 0.4680, Training Accuracy: 0.8289, Validation Loss: 0.5583, Validation Accuracy: 0.7784



2024-05-16 22:09:17,367 - root - INFO - Current learning rate: 0.00014687223021475341

2024-05-16 22:09:34,205 - root - INFO - Epoch 8:

Training Loss: 0.4521, Training Accuracy: 0.8326, Validation Loss: 0.6058, Validation Accuracy: 0.7755



2024-05-16 22:09:34,207 - root - INFO - Current learning rate: 0.00014687223021475341

2024-05-16 22:09:51,165 - root - INFO - Epoch 9:

Training Loss: 0.4068, Training Accuracy: 0.8501, Validation Loss: 0.4922, Validation Accuracy: 0.8163



2024-05-16 22:09:51,167 - root - INFO - Current learning rate: 0.00014687223021475341

2024-05-16 22:10:08,186 - root - INFO - Epoch 10:

Training Loss: 0.4259, Training Accuracy: 0.8463, Validation Loss: 0.5306, Validation Accuracy: 0.8076



2024-05-16 22:10:08,187 - root - INFO - Current learning rate: 0.00014687223021475341

2024-05-16 22:10:08,260 - root - INFO - Model saved to checkpoint_epoch_10.pth

2024-05-16 22:10:25,419 - root - INFO - Epoch 11:

Training Loss: 0.4122, Training Accuracy: 0.8451, Validation Loss: 0.5452, Validation Accuracy: 0.8105



2024-05-16 22:10:25,421 - root - INFO - Current learning rate: 0.00014687223021475341

2024-05-16 22:10:42,549 - root - INFO - Epoch 12:

Training Loss: 0.4157, Training Accuracy: 0.8432, Validation Loss: 0.6177, Validation Accuracy: 0.7930



2024-05-16 22:10:42,550 - root - INFO - Current learning rate: 0.00014687223021475341

2024-05-16 22:10:59,620 - root - INFO - Epoch 13:

Training Loss: 0.3727, Training Accuracy: 0.8595, Validation Loss: 0.7197, Validation Accuracy: 0.7405



2024-05-16 22:10:59,621 - root - INFO - Current learning rate: 1.4687223021475341e-05

2024-05-16 22:11:17,022 - root - INFO - Epoch 14:

Training Loss: 0.4019, Training Accuracy: 0.8638, Validation Loss: 0.5073, Validation Accuracy: 0.8076



2024-05-16 22:11:17,023 - root - INFO - Current learning rate: 1.4687223021475341e-05

2024-05-16 22:11:34,626 - root - INFO - Epoch 15:

Training Loss: 0.3273, Training Accuracy: 0.8832, Validation Loss: 0.4066, Validation Accuracy: 0.8601



2024-05-16 22:11:34,628 - root - INFO - Current learning rate: 1.4687223021475341e-05

2024-05-16 22:11:51,725 - root - INFO - Epoch 16:

Training Loss: 0.3409, Training Accuracy: 0.8713, Validation Loss: 0.4711, Validation Accuracy: 0.8280



2024-05-16 22:11:51,726 - root - INFO - Current learning rate: 1.4687223021475341e-05

2024-05-16 22:12:09,010 - root - INFO - Epoch 17:

Training Loss: 0.3207, Training Accuracy: 0.8826, Validation Loss: 0.4586, Validation Accuracy: 0.8338



2024-05-16 22:12:09,011 - root - INFO - Current learning rate: 1.4687223021475341e-05

2024-05-16 22:12:25,474 - root - INFO - Epoch 18:

Training Loss: 0.3405, Training Accuracy: 0.8738, Validation Loss: 0.4560, Validation Accuracy: 0.8222



2024-05-16 22:12:25,476 - root - INFO - Current learning rate: 1.4687223021475341e-05

2024-05-16 22:12:42,848 - root - INFO - Epoch 19:

Training Loss: 0.3721, Training Accuracy: 0.8657, Validation Loss: 0.4278, Validation Accuracy: 0.8426



2024-05-16 22:12:42,849 - root - INFO - Current learning rate: 1.4687223021475343e-06

2024-05-16 22:13:00,038 - root - INFO - Epoch 20:

Training Loss: 0.3588, Training Accuracy: 0.8701, Validation Loss: 0.4247, Validation Accuracy: 0.8397



2024-05-16 22:13:00,039 - root - INFO - Current learning rate: 1.4687223021475343e-06

2024-05-16 22:13:00,114 - root - INFO - Model saved to checkpoint_epoch_20.pth

2024-05-16 22:13:17,127 - root - INFO - Epoch 21:

Training Loss: 0.3153, Training Accuracy: 0.8745, Validation Loss: 0.4080, Validation Accuracy: 0.8571



2024-05-16 22:13:17,129 - root - INFO - Current learning rate: 1.4687223021475343e-06

2024-05-16 22:13:33,743 - root - INFO - Epoch 22:

Training Loss: 0.3187, Training Accuracy: 0.8876, Validation Loss: 0.4765, Validation Accuracy: 0.8251



2024-05-16 22:13:33,744 - root - INFO - Current learning rate: 1.4687223021475343e-06

2024-05-16 22:13:50,886 - root - INFO - Epoch 23:

Training Loss: 0.3215, Training Accuracy: 0.8795, Validation Loss: 0.4566, Validation Accuracy: 0.8251



2024-05-16 22:13:50,888 - root - INFO - Current learning rate: 1.4687223021475343e-07

2024-05-16 22:14:08,209 - root - INFO - Epoch 24:

Training Loss: 0.3030, Training Accuracy: 0.8938, Validation Loss: 0.4290, Validation Accuracy: 0.8222



2024-05-16 22:14:08,211 - root - INFO - Current learning rate: 1.4687223021475343e-07

2024-05-16 22:14:25,025 - root - INFO - Epoch 25:

Training Loss: 0.3203, Training Accuracy: 0.8869, Validation Loss: 0.4327, Validation Accuracy: 0.8484



2024-05-16 22:14:25,027 - root - INFO - Current learning rate: 1.4687223021475343e-07

2024-05-16 22:14:42,254 - root - INFO - Epoch 26:

Training Loss: 0.3120, Training Accuracy: 0.8938, Validation Loss: 0.4477, Validation Accuracy: 0.8280



2024-05-16 22:14:42,255 - root - INFO - Current learning rate: 1.4687223021475343e-07

2024-05-16 22:14:59,624 - root - INFO - Epoch 27:

Training Loss: 0.3136, Training Accuracy: 0.8913, Validation Loss: 0.4614, Validation Accuracy: 0.8309



2024-05-16 22:14:59,626 - root - INFO - Current learning rate: 1.4687223021475344e-08

2024-05-16 22:15:16,671 - root - INFO - Epoch 28:

Training Loss: 0.3044, Training Accuracy: 0.8938, Validation Loss: 0.4706, Validation Accuracy: 0.8251



2024-05-16 22:15:16,673 - root - INFO - Current learning rate: 1.4687223021475344e-08

2024-05-16 22:15:33,835 - root - INFO - Epoch 29:

Training Loss: 0.3022, Training Accuracy: 0.8938, Validation Loss: 0.4032, Validation Accuracy: 0.8455



2024-05-16 22:15:33,836 - root - INFO - Current learning rate: 1.4687223021475344e-08

2024-05-16 22:15:51,218 - root - INFO - Epoch 30:

Training Loss: 0.2987, Training Accuracy: 0.8982, Validation Loss: 0.4105, Validation Accuracy: 0.8426



2024-05-16 22:15:51,219 - root - INFO - Current learning rate: 1.4687223021475344e-08

2024-05-16 22:15:51,293 - root - INFO - Model saved to checkpoint_epoch_30.pth

2024-05-16 22:16:07,971 - root - INFO - Epoch 31:

Training Loss: 0.3077, Training Accuracy: 0.8869, Validation Loss: 0.4213, Validation Accuracy: 0.8251



2024-05-16 22:16:07,973 - root - INFO - Current learning rate: 1.4687223021475344e-08

2024-05-16 22:16:24,561 - root - INFO - Epoch 32:

Training Loss: 0.3193, Training Accuracy: 0.8838, Validation Loss: 0.4009, Validation Accuracy: 0.8455



2024-05-16 22:16:24,563 - root - INFO - Current learning rate: 1.4687223021475344e-08

2024-05-16 22:16:42,053 - root - INFO - Epoch 33:

Training Loss: 0.3314, Training Accuracy: 0.8869, Validation Loss: 0.4344, Validation Accuracy: 0.8397



2024-05-16 22:16:42,055 - root - INFO - Current learning rate: 1.4687223021475344e-08

2024-05-16 22:16:59,057 - root - INFO - Epoch 34:

Training Loss: 0.2837, Training Accuracy: 0.9001, Validation Loss: 0.4218, Validation Accuracy: 0.8280



2024-05-16 22:16:59,059 - root - INFO - Current learning rate: 1.4687223021475344e-08

2024-05-16 22:17:16,041 - root - INFO - Epoch 35:

Training Loss: 0.3607, Training Accuracy: 0.8701, Validation Loss: 0.4585, Validation Accuracy: 0.8134



2024-05-16 22:17:16,042 - root - INFO - Current learning rate: 1.4687223021475344e-08

2024-05-16 22:17:33,182 - root - INFO - Epoch 36:

Training Loss: 0.2987, Training Accuracy: 0.8919, Validation Loss: 0.4383, Validation Accuracy: 0.8251



2024-05-16 22:17:33,184 - root - INFO - Current learning rate: 1.4687223021475344e-09

2024-05-16 22:17:50,259 - root - INFO - Epoch 37:

Training Loss: 0.3294, Training Accuracy: 0.8682, Validation Loss: 0.4253, Validation Accuracy: 0.8309



2024-05-16 22:17:50,260 - root - INFO - Current learning rate: 1.4687223021475344e-09

2024-05-16 22:18:06,981 - root - INFO - Epoch 38:

Training Loss: 0.2821, Training Accuracy: 0.9019, Validation Loss: 0.4611, Validation Accuracy: 0.8251



2024-05-16 22:18:06,982 - root - INFO - Current learning rate: 1.4687223021475344e-09

2024-05-16 22:18:23,998 - root - INFO - Epoch 39:

Training Loss: 0.3158, Training Accuracy: 0.8869, Validation Loss: 0.4367, Validation Accuracy: 0.8280



2024-05-16 22:18:24,000 - root - INFO - Current learning rate: 1.4687223021475344e-09

2024-05-16 22:18:41,011 - root - INFO - Epoch 40:

Training Loss: 0.3254, Training Accuracy: 0.8888, Validation Loss: 0.3913, Validation Accuracy: 0.8513



2024-05-16 22:18:41,012 - root - INFO - Current learning rate: 1.4687223021475344e-09

2024-05-16 22:18:41,155 - root - INFO - Model saved to checkpoint_epoch_40.pth

2024-05-16 22:18:58,103 - root - INFO - Epoch 41:

Training Loss: 0.3082, Training Accuracy: 0.8857, Validation Loss: 0.3953, Validation Accuracy: 0.8542



2024-05-16 22:18:58,105 - root - INFO - Current learning rate: 1.4687223021475344e-09

2024-05-16 22:19:14,938 - root - INFO - Epoch 42:

Training Loss: 0.2816, Training Accuracy: 0.9007, Validation Loss: 0.4112, Validation Accuracy: 0.8484



2024-05-16 22:19:14,939 - root - INFO - Current learning rate: 1.4687223021475344e-09

2024-05-16 22:19:32,077 - root - INFO - Epoch 43:

Training Loss: 0.3457, Training Accuracy: 0.8788, Validation Loss: 0.4241, Validation Accuracy: 0.8455



2024-05-16 22:19:32,078 - root - INFO - Current learning rate: 1.4687223021475344e-09

2024-05-16 22:19:49,354 - root - INFO - Epoch 44:

Training Loss: 0.3149, Training Accuracy: 0.8826, Validation Loss: 0.4160, Validation Accuracy: 0.8542



2024-05-16 22:19:49,356 - root - INFO - Current learning rate: 1.4687223021475344e-09

2024-05-16 22:20:06,691 - root - INFO - Epoch 45:

Training Loss: 0.3011, Training Accuracy: 0.8894, Validation Loss: 0.4293, Validation Accuracy: 0.8484



2024-05-16 22:20:06,692 - root - INFO - Current learning rate: 1.4687223021475344e-09

2024-05-16 22:20:23,367 - root - INFO - Epoch 46:

Training Loss: 0.3327, Training Accuracy: 0.8795, Validation Loss: 0.3971, Validation Accuracy: 0.8630



2024-05-16 22:20:23,369 - root - INFO - Current learning rate: 1.4687223021475344e-09

2024-05-16 22:20:40,496 - root - INFO - Epoch 47:

Training Loss: 0.3180, Training Accuracy: 0.8894, Validation Loss: 0.4143, Validation Accuracy: 0.8513



2024-05-16 22:20:40,497 - root - INFO - Current learning rate: 1.4687223021475344e-09

2024-05-16 22:20:58,098 - root - INFO - Epoch 48:

Training Loss: 0.2915, Training Accuracy: 0.8969, Validation Loss: 0.4355, Validation Accuracy: 0.8455



2024-05-16 22:20:58,100 - root - INFO - Current learning rate: 1.4687223021475344e-09

2024-05-16 22:21:15,492 - root - INFO - Epoch 49:

Training Loss: 0.3160, Training Accuracy: 0.8882, Validation Loss: 0.4601, Validation Accuracy: 0.8163



2024-05-16 22:21:15,494 - root - INFO - Current learning rate: 1.4687223021475344e-09

2024-05-16 22:21:32,535 - root - INFO - Epoch 50:

Training Loss: 0.3085, Training Accuracy: 0.8832, Validation Loss: 0.4587, Validation Accuracy: 0.8105



2024-05-16 22:21:32,537 - root - INFO - Current learning rate: 1.4687223021475344e-09

2024-05-16 22:21:32,613 - root - INFO - Model saved to checkpoint_epoch_50.pth

2024-05-16 22:21:33,771 - root - INFO -               precision    recall  f1-score   support



         808       0.88      0.88      0.88        43

        Clap       0.62      0.78      0.69        27

  Closed Hat       0.89      0.86      0.87        63

        Kick       0.94      0.93      0.94       120

    Open Hat       0.76      0.87      0.81        15

       Snare       0.84      0.78      0.81        76



    accuracy                           0.86       344

   macro avg       0.82      0.85      0.83       344

weighted avg       0.87      0.86      0.86       344