Omar280X/mit-b0-finetuned-passports

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

• Train Loss: 0.1059
• Validation Loss: 0.1814
• Epoch: 3

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
0.1883	0.2012	0
0.1259	0.2628	1
0.1121	0.2130	2
0.1059	0.1814	3

Framework versions

• Transformers 4.37.0
• TensorFlow 2.5.0
• Datasets 2.16.1
• Tokenizers 0.15.1