generated_from_trainer

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wbc-100-pretrain-20-epoch

This model is a fine-tuned version of koobear/masked-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
0.5865 1.0 132 0.2601 0.9606 0.9609 0.9634 0.9606 0.9431
0.2703 2.0 264 0.1383 0.9821 0.9821 0.9822 0.9821 0.9750
0.1952 3.0 396 0.1149 0.9809 0.9812 0.9818 0.9809 0.9811
0.18 4.0 528 0.0914 0.9873 0.9872 0.9873 0.9873 0.9771
0.1475 5.0 660 0.0819 0.9873 0.9874 0.9878 0.9873 0.9837
0.1556 6.0 792 0.0796 0.9855 0.9857 0.9861 0.9855 0.9830
0.1276 7.0 924 0.0746 0.9878 0.9878 0.9879 0.9878 0.9728
0.1205 8.0 1056 0.0689 0.9873 0.9872 0.9874 0.9873 0.9702
0.1196 9.0 1188 0.0680 0.9855 0.9856 0.9862 0.9855 0.9775
0.1111 10.0 1320 0.0605 0.9873 0.9873 0.9875 0.9873 0.9832
0.1052 11.0 1452 0.0522 0.9902 0.9902 0.9902 0.9902 0.9845
0.1015 12.0 1584 0.0545 0.9896 0.9896 0.9896 0.9896 0.9809
0.1044 13.0 1716 0.0529 0.9896 0.9896 0.9896 0.9896 0.9780
0.097 14.0 1848 0.0521 0.9878 0.9878 0.9879 0.9878 0.9708
0.0943 15.0 1980 0.0468 0.9902 0.9902 0.9905 0.9902 0.9875
0.0884 16.0 2112 0.0454 0.9919 0.9919 0.9920 0.9919 0.9889
0.0767 17.0 2244 0.0465 0.9896 0.9896 0.9896 0.9896 0.9816
0.0834 18.0 2376 0.0512 0.9896 0.9895 0.9896 0.9896 0.9731
0.0819 19.0 2508 0.0497 0.9890 0.9890 0.9890 0.9890 0.9767
0.0822 20.0 2640 0.0493 0.9884 0.9884 0.9884 0.9884 0.9762

Framework versions