CoolFace
Modelpublic

CVPROJ25/FINETUNED

sourceHugging Faceapache-2.0updated 7mo agoView on Hugging Face
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Model Card

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FINETUNED

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

  • —Loss: 0.9199
  • —Accuracy: 0.774

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: 512
  • —evalbatchsize: 16
  • —seed: 42
  • —optimizer: Use OptimizerNames.ADAMWTORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
  • —lrschedulertype: linear
  • —num_epochs: 10
  • —mixedprecisiontraining: Native AMP

Training results

Training LossEpochStepValidation LossAccuracy
0.82411.0160.89220.773
0.39972.0320.90190.7705
0.29053.0480.91990.774

Framework versions

  • —Transformers 5.2.0
  • —Pytorch 2.5.1
  • —Datasets 4.6.1
  • —Tokenizers 0.22.1