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cwtmyd/vit-base-oxford-iiit-pets

sourceHugging Faceapache-2.0updated 2y agoView on Hugging Face
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vit-base-oxford-iiit-pets

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

  • Loss: 0.2148
  • Accuracy: 0.9418

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: 0.0003
  • trainbatchsize: 16
  • evalbatchsize: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lrschedulertype: linear
  • num_epochs: 5

Training results

Training LossEpochStepValidation LossAccuracy
0.39591.03700.26670.9364
0.1932.07400.20100.9445
0.16653.011100.17980.9499
0.144.014800.16920.9526
0.13675.018500.16820.9499

Framework versions

  • Transformers 4.40.1
  • Pytorch 2.2.1
  • Datasets 2.16.1
  • Tokenizers 0.19.1