generated_from_trainer

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wbc-50-pretrain-20-epochs

This model is a fine-tuned version of koobear/masked-50-pretraining-20-epoch on the image_folder dataset. It achieves the following results on the evaluation set:

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

Training results

Training Loss Epoch Step Validation Loss Accuracy F1 Precision Recall Balanced Acc
1.2239 1.0 33 0.8645 0.9219 0.9268 0.9404 0.9219 0.9370
0.7434 2.0 66 0.5164 0.9549 0.9560 0.9589 0.9549 0.9614
0.4834 3.0 99 0.3333 0.9711 0.9713 0.9718 0.9711 0.9645
0.3492 4.0 132 0.2470 0.9797 0.9797 0.9797 0.9797 0.9683
0.292 5.0 165 0.2056 0.9792 0.9793 0.9795 0.9792 0.9758
0.2612 6.0 198 0.1960 0.9745 0.9746 0.9750 0.9745 0.9659
0.2424 7.0 231 0.1660 0.9792 0.9796 0.9809 0.9792 0.9801
0.2157 8.0 264 0.1528 0.9803 0.9805 0.9813 0.9803 0.9793
0.2087 9.0 297 0.1511 0.9774 0.9776 0.9781 0.9774 0.9763
0.1967 10.0 330 0.1359 0.9809 0.9810 0.9814 0.9809 0.9749
0.1851 11.0 363 0.1353 0.9821 0.9821 0.9821 0.9821 0.9743
0.1859 12.0 396 0.1317 0.9815 0.9815 0.9816 0.9815 0.9738
0.1679 13.0 429 0.1291 0.9815 0.9816 0.9820 0.9815 0.9769
0.1583 14.0 462 0.1195 0.9832 0.9833 0.9836 0.9832 0.9791
0.1429 15.0 495 0.1191 0.9815 0.9816 0.9819 0.9815 0.9749
0.1624 16.0 528 0.1177 0.9826 0.9828 0.9831 0.9826 0.9825
0.1515 17.0 561 0.1159 0.9821 0.9822 0.9824 0.9821 0.9781
0.1517 18.0 594 0.1158 0.9826 0.9827 0.9828 0.9826 0.9737
0.1389 19.0 627 0.1140 0.9832 0.9833 0.9835 0.9832 0.9758
0.1325 20.0 660 0.1141 0.9826 0.9827 0.9829 0.9826 0.9737

Framework versions