bikekowal/vit-base-oxford-iiit-pets

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vit-base-oxford-iiit-pets

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:

• —eval_loss: 3.5198
• —eval_accuracy: 0.0392
• —eval_runtime: 5.7122
• —evalsamplesper_second: 129.373
• —evalstepsper_second: 8.228
• —step: 0

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: 32
• —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

Framework versions

• —Transformers 4.48.0.dev0
• —Pytorch 2.5.1+cu124
• —Datasets 3.2.0
• —Tokenizers 0.21.0