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. 2024 Apr 29;17(3):10.16910/jemr.17.3.3. doi: 10.16910/jemr.17.3.3
Epoch Step Training Loss Validation Loss Accuracy
1 73 0.1179 0.0977 98.85%
2 147 0.06 0.0693 98.98%
3 219 0.0376 0.0604 99.11% 1
4 292 0.024 0.0769 98.09%
5 366 0.0236 0.1111 97.45%
6 440 0.0172 0.0542 98.98% 2
7 514 0.0114 0.0630 98.85%
8 587 0.0051 0.0674 98.60%
9 661 0.0044 0.0640 98.85%
10 735 0.0037 0.0646 98.85%
11 809 0.0034 0.0652 98.85%
12 882 0.0032 0.0656 98.85%
13 949 0.0032 0.0657 98.85%

1 After epoch 3, training reached best accuracy overall (as evaluated on a test set that was split from the training set) and the checkpoint was saved as Model v1.

2 After epoch no. 6, training reached best accuracy of the second training run and the checkpoint was saved as Model v2.