Metformin/T5model_medFineTune

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: 9.0442
• Validation Loss: 6.1005
• 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': {'class_name': 'WarmUp', 'config': {'initial_learning_rate': 1e-05, 'decay_schedule_fn': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 1e-05, 'decay_steps': 7820, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'passive_serialization': True}, 'warmup_steps': 100, 'power': 1.0, '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: float32

Training results

Train Loss	Validation Loss	Epoch
42.6321	28.0647	0
31.2672	21.0068	1
24.8310	16.6186	2
20.5368	13.8025	3
17.3796	11.7180	4
15.0329	10.0404	5
13.0886	8.6286	6
11.5235	7.5594	7
10.1123	6.8079	8
9.0442	6.1005	9

Framework versions

• Transformers 4.18.0
• TensorFlow 2.6.3
• Datasets 2.0.0
• Tokenizers 0.12.1