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step: Resize image (224) |
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***** Running training ***** |
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Num examples = 414112 |
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Num Epochs = 40 |
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Instantaneous batch size per device = 240 |
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Total train batch size = 240 |
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Total optimization steps = 69000 |
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Epoch 1/40 - Train loss: 1.1374 |
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Epoch 1/40 - Top 1: 61.3591, Top 5: 95.0198 |
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Model saved to output/2024-10-27T04-15-51/bset |
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Epoch 2/40 - Train loss: 0.6764 |
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Epoch 2/40 - Top 1: 57.1230, Top 5: 94.3750 |
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Epoch 3/40 - Train loss: 0.5364 |
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Epoch 3/40 - Top 1: 62.6587, Top 5: 95.5655 |
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Model saved to output/2024-10-27T04-15-51/bset |
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Epoch 4/40 - Train loss: 0.4502 |
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Epoch 4/40 - Top 1: 59.2560, Top 5: 93.7202 |
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Epoch 5/40 - Train loss: 0.3864 |
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Epoch 5/40 - Top 1: 62.6389, Top 5: 94.5933 |
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Epoch 6/40 - Train loss: 0.3365 |
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Epoch 6/40 - Top 1: 54.2956, Top 5: 92.0734 |
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Epoch 7/40 - Train loss: 0.2953 |
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Epoch 7/40 - Top 1: 55.5952, Top 5: 91.4087 |
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Epoch 8/40 - Train loss: 0.2609 |
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Epoch 8/40 - Top 1: 59.7222, Top 5: 92.5694 |
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Epoch 9/40 - Train loss: 0.2329 |
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Epoch 9/40 - Top 1: 56.4583, Top 5: 93.7500 |
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Epoch 10/40 - Train loss: 0.2086 |
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Epoch 10/40 - Top 1: 56.5873, Top 5: 91.5575 |
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Epoch 11/40 - Train loss: 0.1881 |
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Epoch 11/40 - Top 1: 60.6944, Top 5: 92.2421 |
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Epoch 12/40 - Train loss: 0.1713 |
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Epoch 12/40 - Top 1: 49.0774, Top 5: 87.1627 |
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Epoch 13/40 - Train loss: 0.1557 |
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Epoch 13/40 - Top 1: 54.2758, Top 5: 89.9107 |
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Epoch 14/40 - Train loss: 0.1435 |
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Epoch 14/40 - Top 1: 53.4524, Top 5: 90.4067 |
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Epoch 15/40 - Train loss: 0.1307 |
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Epoch 15/40 - Top 1: 49.0079, Top 5: 87.0437 |
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Epoch 16/40 - Train loss: 0.1176 |
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Epoch 16/40 - Top 1: 55.2183, Top 5: 88.3135 |
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Epoch 17/40 - Train loss: 0.1087 |
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Epoch 17/40 - Top 1: 57.4802, Top 5: 90.7440 |
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Epoch 18/40 - Train loss: 0.1013 |
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Epoch 18/40 - Top 1: 53.0258, Top 5: 89.9107 |
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Epoch 19/40 - Train loss: 0.0918 |
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Epoch 19/40 - Top 1: 53.1647, Top 5: 90.4067 |
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Epoch 20/40 - Train loss: 0.0857 |
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Epoch 20/40 - Top 1: 50.6250, Top 5: 89.8313 |
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Epoch 21/40 - Train loss: 0.0792 |
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Epoch 21/40 - Top 1: 46.8750, Top 5: 86.8254 |
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Epoch 22/40 - Train loss: 0.0721 |
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Epoch 22/40 - Top 1: 45.2976, Top 5: 87.7778 |
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Epoch 23/40 - Train loss: 0.0669 |
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Epoch 23/40 - Top 1: 51.2202, Top 5: 89.5040 |
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Epoch 24/40 - Train loss: 0.0623 |
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Epoch 24/40 - Top 1: 47.9960, Top 5: 86.5675 |
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Epoch 25/40 - Train loss: 0.0578 |
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Epoch 25/40 - Top 1: 44.4345, Top 5: 87.3810 |
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Epoch 26/40 - Train loss: 0.0534 |
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Epoch 26/40 - Top 1: 49.0179, Top 5: 88.8294 |
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Epoch 27/40 - Train loss: 0.0503 |
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Epoch 27/40 - Top 1: 51.5476, Top 5: 89.5040 |
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Epoch 28/40 - Train loss: 0.0460 |
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Epoch 28/40 - Top 1: 55.8333, Top 5: 89.9107 |
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Epoch 29/40 - Train loss: 0.0423 |
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Epoch 29/40 - Top 1: 54.1270, Top 5: 89.8313 |
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Epoch 30/40 - Train loss: 0.0392 |
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Epoch 30/40 - Top 1: 50.6647, Top 5: 88.8492 |
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Epoch 31/40 - Train loss: 0.0375 |
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Epoch 31/40 - Top 1: 53.1448, Top 5: 89.0873 |
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Epoch 32/40 - Train loss: 0.0336 |
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Epoch 32/40 - Top 1: 50.9921, Top 5: 88.8889 |
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Epoch 33/40 - Train loss: 0.0316 |
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Epoch 33/40 - Top 1: 45.9325, Top 5: 84.7321 |
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Epoch 34/40 - Train loss: 0.0289 |
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Epoch 34/40 - Top 1: 50.4762, Top 5: 88.7004 |
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Epoch 35/40 - Train loss: 0.0273 |
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Epoch 35/40 - Top 1: 48.1250, Top 5: 87.3710 |
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Epoch 36/40 - Train loss: 0.0248 |
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Epoch 36/40 - Top 1: 45.8829, Top 5: 86.1111 |
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Epoch 37/40 - Train loss: 0.0232 |
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Epoch 37/40 - Top 1: 45.9425, Top 5: 85.1488 |
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Epoch 38/40 - Train loss: 0.0216 |
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Epoch 38/40 - Top 1: 46.0020, Top 5: 86.2698 |
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Epoch 39/40 - Train loss: 0.0200 |
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Epoch 39/40 - Top 1: 47.0139, Top 5: 86.3095 |
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Epoch 40/40 - Train loss: 0.0193 |
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Epoch 40/40 - Top 1: 47.5694, Top 5: 86.4286 |
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Model saved to output/2024-10-27T04-15-51/last |
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