| 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 | |