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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
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Evaluation results