JustAdvanceTechonology/medical_notes_mulitilingual

This model is a fine-tuned version of google/mt5-small on an unknown dataset. It achieves the following results on the evaluation set:

• Train Loss: 8.7536
• Validation Loss: 6.1397
• Epoch: 7

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': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 5.6e-05, 'decay_steps': 1209, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.01}
• training_precision: mixed_float16

Training results

Train Loss	Validation Loss	Epoch
11.2097	6.1454	0
8.7069	6.1880	1
8.7350	6.1834	2
8.7021	6.1364	3
8.7385	6.2117	4
8.7318	6.2004	5
8.7487	6.1531	6
8.7536	6.1397	7

Framework versions

• Transformers 4.16.2
• TensorFlow 2.5.0
• Datasets 2.0.0
• Tokenizers 0.10.1