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aidenshindel/vit.vit-base-patch16-224-finetuned-SkinDisease

sourceHugging Faceapache-2.0updated 5mo agoView on Hugging Face
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vit.vit-base-patch16-224-finetuned-SkinDisease

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:

  • —Loss: 0.6396
  • —Accuracy: 0.8129

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:

  • —learning_rate: 5e-05
  • —trainbatchsize: 32
  • —evalbatchsize: 32
  • —seed: 42
  • —gradientaccumulationsteps: 4
  • —totaltrainbatch_size: 128
  • —optimizer: Use OptimizerNames.ADAMWTORCHFUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
  • —lrschedulertype: linear
  • —lrschedulerwarmup_steps: 0.1
  • —num_epochs: 10

Training results

Training LossEpochStepValidation LossAccuracy
3.05731.0272.45700.3181
1.78462.0541.55150.5738
1.15653.0811.14330.6923
0.90724.01080.92900.7599
0.70475.01350.82750.7713
0.59296.01620.75420.7900
0.49997.01890.70170.8025
0.45618.02160.67340.8077
0.40579.02430.65530.8150
0.404810.02700.63960.8129

Framework versions

  • —Transformers 5.5.4
  • —Pytorch 2.10.0+cu128
  • —Datasets 4.8.4
  • —Tokenizers 0.22.2