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---
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
|