my_Med

This model is a fine-tuned version of t5-small on an unknown dataset. It achieves the following results on the evaluation set:

• Train Loss: 1.5902
• Validation Loss: 1.3655
• 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': 'AdamWeightDecay', 'learning_rate': 2e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.01}
• training_precision: float32

Training results

Train Loss	Validation Loss	Epoch
2.8689	2.0671	0
2.2250	1.8456	1
2.0132	1.7104	2
1.9079	1.6828	3
1.8237	1.5935	4
1.7651	1.5240	5
1.7246	1.4930	6
1.6565	1.4191	7
1.6166	1.3944	8
1.5902	1.3655	9

Framework versions

• Transformers 4.25.1
• TensorFlow 2.9.2
• Datasets 2.7.1
• Tokenizers 0.13.2