CoolFace
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yasminberrichi/vit-beans-demo

sourceHugging Faceapache-2.0updated 9d agoView on Hugging Face
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Model Card

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vit-beans-demo

This model is a fine-tuned version of google/vit-base-patch16-224-in21k on an unknown dataset. It achieves the following results on the evaluation set:

  • —Loss: 0.0995
  • —Accuracy: 0.9766

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: 16
  • —evalbatchsize: 16
  • —seed: 42
  • —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: 4

Training results

Training LossEpochStepValidation LossAccuracy
0.12421.0650.10000.9699
0.07092.01300.08460.9699
0.06603.01950.06930.9774
0.07574.02600.04370.9925

Framework versions

  • —Transformers 5.17.0
  • —Pytorch 2.11.0+cu128
  • —Datasets 5.0.1
  • —Tokenizers 0.23.1