generated_from_trainer

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google-vit-base-patch16-224-cartoon-face-recognition

This model is a fine-tuned version of google/vit-base-patch16-224 on the imagefolder 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 Precision Recall F1
No log 0.89 6 0.5459 0.8611 0.8683 0.8611 0.8577
0.0812 1.89 12 0.4703 0.8796 0.8833 0.8796 0.8764
0.0812 2.89 18 0.4430 0.8935 0.8969 0.8935 0.8906
0.0307 3.89 24 0.4045 0.8819 0.8849 0.8819 0.8767
0.0091 4.89 30 0.3672 0.9005 0.9025 0.9005 0.8980
0.0091 5.89 36 0.3841 0.9028 0.9125 0.9028 0.9011
0.0043 6.89 42 0.3926 0.9005 0.9073 0.9005 0.8972
0.0043 7.89 48 0.3786 0.8958 0.9005 0.8958 0.8931
0.0031 8.89 54 0.3791 0.9028 0.9091 0.9028 0.9007
0.002 9.89 60 0.3677 0.9028 0.9106 0.9028 0.9001
0.002 10.89 66 0.3740 0.9028 0.9099 0.9028 0.9007
0.0027 11.89 72 0.3869 0.8981 0.9043 0.8981 0.8956
0.0027 12.89 78 0.3801 0.8981 0.9021 0.8981 0.8954
0.004 13.89 84 0.3674 0.9051 0.9113 0.9051 0.9028
0.0024 14.89 90 0.3620 0.9051 0.9096 0.9051 0.9027
0.0024 15.89 96 0.3670 0.9028 0.9089 0.9028 0.9006
0.0021 16.89 102 0.3827 0.9005 0.9065 0.9005 0.8980
0.0021 17.89 108 0.3748 0.8981 0.9049 0.8981 0.8958
0.0022 18.89 114 0.3825 0.9028 0.9101 0.9028 0.9006
0.0019 19.89 120 0.3707 0.9005 0.9066 0.9005 0.8984

Framework versions