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