---
license: apache-2.0
tags:
- generated_from_keras_callback
model-index:
- name: Metformin/T5model_medFineTune
  results: []
---

<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->

# Metformin/T5model_medFineTune

This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/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