kabboabb/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 the pcuenq/oxford-pets dataset. It achieves the following results on the evaluation set:

• —Loss: 0.2023
• —Accuracy: 0.9459

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: Use adamwtorch with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
• —lrschedulertype: linear
• —num_epochs: 5

Training results

Framework versions

• —Transformers 4.50.0
• —Pytorch 2.6.0+cu124
• —Datasets 3.4.1
• —Tokenizers 0.21.1

Key Figures of the transfer learning model:

• —'eval_loss': 0.20226821303367615,
• —'eval_accuracy': 0.945872801082544,
• —'eval_runtime': 10.8017,
• —'evalsamplesper_second': 68.415,
• —'evalstepsper_second': 8.61,
• —'epoch': 5.0}

Key Figures of the Zero Shot model:

• —Accuracy: 0.8800
• —Precision: 0.8768
• —Recall: 0.8800