Omar280X/printed_ID_Segmentation_1

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: 0.5221
• Validation Loss: 0.7828
• Epoch: 5

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': 3.639184e-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
0.3885	1.1158	0
0.4938	0.6734	1
0.4921	0.6814	2
0.5149	0.7493	3
0.4889	0.7936	4
0.5221	0.7828	5

Framework versions

• Transformers 4.37.2
• TensorFlow 2.10.0
• Datasets 3.6.0
• Tokenizers 0.15.2