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