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