generated_from_trainer

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masked-pretraining-20-epoch

This model is a fine-tuned version of koobear/cam16-no-train-mask-final-50-epochs 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
1.5138 1.0 6 1.4155 0.8125 0.8307 0.8854 0.8125 0.8785
1.3206 2.0 12 1.2731 0.8611 0.8688 0.8916 0.8611 0.8909
1.1665 3.0 18 1.1359 0.8958 0.9030 0.9214 0.8958 0.9052
1.0273 4.0 24 1.0128 0.9028 0.9090 0.9247 0.9028 0.9118
0.9014 5.0 30 0.9086 0.9097 0.9161 0.9342 0.9097 0.9217
0.7832 6.0 36 0.8094 0.9306 0.9356 0.9480 0.9306 0.9328
0.6802 7.0 42 0.7244 0.9375 0.9418 0.9513 0.9375 0.9394
0.5949 8.0 48 0.6657 0.9306 0.9348 0.9441 0.9306 0.9252
0.5295 9.0 54 0.6067 0.9583 0.9608 0.9666 0.9583 0.9594
0.4758 10.0 60 0.5610 0.9444 0.9480 0.9556 0.9444 0.9461
0.4313 11.0 66 0.5307 0.9583 0.9608 0.9666 0.9583 0.9594
0.3981 12.0 72 0.4942 0.9444 0.9480 0.9556 0.9444 0.9461
0.3711 13.0 78 0.4784 0.9583 0.9608 0.9666 0.9583 0.9594
0.3436 14.0 84 0.4580 0.9583 0.9608 0.9666 0.9583 0.9594
0.3232 15.0 90 0.4424 0.9583 0.9608 0.9666 0.9583 0.9594
0.3096 16.0 96 0.4301 0.9583 0.9608 0.9666 0.9583 0.9594
0.2996 17.0 102 0.4234 0.9583 0.9608 0.9666 0.9583 0.9594
0.2898 18.0 108 0.4184 0.9583 0.9608 0.9666 0.9583 0.9594
0.2845 19.0 114 0.4126 0.9583 0.9608 0.9666 0.9583 0.9594
0.2826 20.0 120 0.4113 0.9583 0.9608 0.9666 0.9583 0.9594

Framework versions