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diff-transformer-for-vision

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+ 2024-10-30 01:53:08,020 - INFO - Epoch [1/50], Training Loss: 5.0653, Validation Loss: 4.8587, Validation Accuracy: 3.96%
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+ 2024-10-30 01:53:51,761 - INFO - Epoch [2/50], Training Loss: 4.7748, Validation Loss: 4.5935, Validation Accuracy: 6.58%
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+ 2024-10-30 01:54:35,571 - INFO - Epoch [3/50], Training Loss: 4.5060, Validation Loss: 4.3508, Validation Accuracy: 9.78%
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+ 2024-10-30 01:55:19,414 - INFO - Epoch [4/50], Training Loss: 4.2529, Validation Loss: 4.1409, Validation Accuracy: 12.75%
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+ 2024-10-30 01:56:03,280 - INFO - Epoch [5/50], Training Loss: 4.0534, Validation Loss: 3.9957, Validation Accuracy: 14.99%
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+ 2024-10-30 01:56:47,174 - INFO - Epoch [6/50], Training Loss: 3.8908, Validation Loss: 3.9052, Validation Accuracy: 16.57%
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+ 2024-10-30 01:57:31,017 - INFO - Epoch [7/50], Training Loss: 3.7474, Validation Loss: 3.8335, Validation Accuracy: 17.46%
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+ 2024-10-30 01:58:14,866 - INFO - Epoch [8/50], Training Loss: 3.6158, Validation Loss: 3.7850, Validation Accuracy: 18.58%
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+ 2024-10-30 01:58:58,726 - INFO - Epoch [9/50], Training Loss: 3.4870, Validation Loss: 3.7223, Validation Accuracy: 19.67%
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+ 2024-10-30 01:59:42,622 - INFO - Epoch [10/50], Training Loss: 3.3702, Validation Loss: 3.7101, Validation Accuracy: 20.56%
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+ 2024-10-30 02:00:26,530 - INFO - Epoch [11/50], Training Loss: 3.2479, Validation Loss: 3.6859, Validation Accuracy: 21.30%
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+ 2024-10-30 02:01:10,387 - INFO - Epoch [12/50], Training Loss: 3.1260, Validation Loss: 3.6725, Validation Accuracy: 21.12%
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+ 2024-10-30 02:01:54,233 - INFO - Epoch [13/50], Training Loss: 3.0028, Validation Loss: 3.6762, Validation Accuracy: 21.30%
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+ 2024-10-30 02:02:38,068 - INFO - Epoch [14/50], Training Loss: 2.8894, Validation Loss: 3.6727, Validation Accuracy: 21.60%
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+ 2024-10-30 02:03:21,921 - INFO - Epoch [15/50], Training Loss: 2.7571, Validation Loss: 3.6898, Validation Accuracy: 21.58%
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+ 2024-10-30 02:04:05,794 - INFO - Epoch [16/50], Training Loss: 2.6299, Validation Loss: 3.7048, Validation Accuracy: 22.07%
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+ 2024-10-30 02:04:49,700 - INFO - Epoch [17/50], Training Loss: 2.5082, Validation Loss: 3.7370, Validation Accuracy: 21.84%
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+ 2024-10-30 02:05:33,619 - INFO - Epoch [18/50], Training Loss: 2.3782, Validation Loss: 3.7812, Validation Accuracy: 21.46%
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+ 2024-10-30 02:06:17,474 - INFO - Epoch [19/50], Training Loss: 2.2562, Validation Loss: 3.8096, Validation Accuracy: 21.69%
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+ 2024-10-30 02:07:01,437 - INFO - Epoch [20/50], Training Loss: 2.1315, Validation Loss: 3.8753, Validation Accuracy: 21.52%
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+ 2024-10-30 02:07:45,308 - INFO - Epoch [21/50], Training Loss: 2.0113, Validation Loss: 3.9034, Validation Accuracy: 21.49%
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+ 2024-10-30 02:08:29,193 - INFO - Epoch [22/50], Training Loss: 1.9015, Validation Loss: 3.9635, Validation Accuracy: 20.99%
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+ 2024-10-30 02:09:13,043 - INFO - Epoch [23/50], Training Loss: 1.7805, Validation Loss: 3.9963, Validation Accuracy: 20.95%
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+ 2024-10-30 02:09:56,932 - INFO - Epoch [24/50], Training Loss: 1.6752, Validation Loss: 4.0398, Validation Accuracy: 21.09%
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+ 2024-10-30 02:10:40,855 - INFO - Epoch [25/50], Training Loss: 1.5720, Validation Loss: 4.1019, Validation Accuracy: 20.65%
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+ 2024-10-30 02:11:24,679 - INFO - Epoch [26/50], Training Loss: 1.4763, Validation Loss: 4.1491, Validation Accuracy: 20.50%
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+ 2024-10-30 02:12:08,577 - INFO - Epoch [27/50], Training Loss: 1.3897, Validation Loss: 4.1894, Validation Accuracy: 20.36%
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+ 2024-10-30 02:12:52,465 - INFO - Epoch [28/50], Training Loss: 1.3004, Validation Loss: 4.2448, Validation Accuracy: 20.22%
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+ 2024-10-30 02:13:36,375 - INFO - Epoch [29/50], Training Loss: 1.2341, Validation Loss: 4.2691, Validation Accuracy: 20.22%
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+ 2024-10-30 02:14:20,243 - INFO - Epoch [30/50], Training Loss: 1.1587, Validation Loss: 4.3284, Validation Accuracy: 20.16%
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+ 2024-10-30 02:15:04,084 - INFO - Epoch [31/50], Training Loss: 1.0914, Validation Loss: 4.3551, Validation Accuracy: 19.88%
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+ 2024-10-30 02:15:47,955 - INFO - Epoch [32/50], Training Loss: 1.0365, Validation Loss: 4.4018, Validation Accuracy: 20.10%
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+ 2024-10-30 02:16:31,835 - INFO - Epoch [33/50], Training Loss: 0.9836, Validation Loss: 4.4312, Validation Accuracy: 19.88%
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+ 2024-10-30 02:17:15,729 - INFO - Epoch [34/50], Training Loss: 0.9370, Validation Loss: 4.4585, Validation Accuracy: 20.03%
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+ 2024-10-30 02:17:59,637 - INFO - Epoch [35/50], Training Loss: 0.8959, Validation Loss: 4.4926, Validation Accuracy: 19.56%
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+ 2024-10-30 02:18:43,589 - INFO - Epoch [36/50], Training Loss: 0.8646, Validation Loss: 4.5189, Validation Accuracy: 19.77%
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+ 2024-10-30 02:19:27,473 - INFO - Epoch [37/50], Training Loss: 0.8331, Validation Loss: 4.5310, Validation Accuracy: 19.69%
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+ 2024-10-30 02:20:11,355 - INFO - Epoch [38/50], Training Loss: 0.7973, Validation Loss: 4.5587, Validation Accuracy: 19.70%
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+ 2024-10-30 02:20:55,276 - INFO - Epoch [39/50], Training Loss: 0.7737, Validation Loss: 4.5737, Validation Accuracy: 19.77%
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+ 2024-10-30 02:21:39,166 - INFO - Epoch [40/50], Training Loss: 0.7541, Validation Loss: 4.5817, Validation Accuracy: 19.73%
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+ 2024-10-30 02:22:23,046 - INFO - Epoch [41/50], Training Loss: 0.7369, Validation Loss: 4.5976, Validation Accuracy: 19.79%
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+ 2024-10-30 02:23:06,876 - INFO - Epoch [42/50], Training Loss: 0.7193, Validation Loss: 4.6108, Validation Accuracy: 19.80%
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+ 2024-10-30 02:23:50,769 - INFO - Epoch [43/50], Training Loss: 0.7059, Validation Loss: 4.6178, Validation Accuracy: 19.76%
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+ 2024-10-30 02:24:34,626 - INFO - Epoch [44/50], Training Loss: 0.6937, Validation Loss: 4.6241, Validation Accuracy: 19.76%
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+ 2024-10-30 02:25:18,505 - INFO - Epoch [45/50], Training Loss: 0.6892, Validation Loss: 4.6289, Validation Accuracy: 19.76%
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+ 2024-10-30 02:26:02,373 - INFO - Epoch [46/50], Training Loss: 0.6827, Validation Loss: 4.6319, Validation Accuracy: 19.73%
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+ 2024-10-30 02:26:46,318 - INFO - Epoch [47/50], Training Loss: 0.6800, Validation Loss: 4.6334, Validation Accuracy: 19.72%
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+ 2024-10-30 02:27:30,189 - INFO - Epoch [48/50], Training Loss: 0.6744, Validation Loss: 4.6364, Validation Accuracy: 19.74%
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+ 2024-10-30 02:28:14,092 - INFO - Epoch [49/50], Training Loss: 0.6704, Validation Loss: 4.6367, Validation Accuracy: 19.75%
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+ 2024-10-30 02:28:57,971 - INFO - Epoch [50/50], Training Loss: 0.6714, Validation Loss: 4.6367, Validation Accuracy: 19.74%
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+ 2024-10-30 02:28:57,972 - INFO - Training completed!