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sayakpaul/mit-b0-finetuned-pets

This model is a fine-tuned version of nvidia/mit-b0 on the Oxford Pets dataset. It achieves the following results on the evaluation set:

  • Train Loss: 0.1481
  • Validation Loss: 0.1962
  • Epoch: 9

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:

  • optimizer: {'name': 'Adam', 'learning_rate': 6e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
  • training_precision: float32

Training results

Train Loss Validation Loss Epoch
0.2821 0.2146 0
0.2090 0.1983 1
0.1920 0.2002 2
0.1805 0.1868 3
0.1716 0.1920 4
0.1651 0.1850 5
0.1537 0.1943 6
0.1570 0.1842 7
0.1462 0.1833 8
0.1481 0.1962 9

Framework versions

  • Transformers 4.25.1
  • TensorFlow 2.10.1
  • Tokenizers 0.13.2
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