---
license: apache-2.0
base_model: google/mt5-base
tags:
- generated_from_keras_callback
model-index:
- name: fil-bic-mt5b
  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. -->

# fil-bic-mt5b

This model is a fine-tuned version of [google/mt5-base](https://huggingface.co/google/mt5-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 2.7310
- Validation Loss: 2.8968
- 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': 0.001, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.01}
- training_precision: float32

### Training results

| Train Loss | Validation Loss | Epoch |
|:----------:|:---------------:|:-----:|
| 5.6830     | 3.9591          | 0     |
| 3.9193     | 3.4118          | 1     |
| 3.4188     | 3.1931          | 2     |
| 4.6409     | 5.8359          | 3     |
| 5.4986     | 4.8224          | 4     |
| 5.0763     | 4.3305          | 5     |
| 3.7572     | 3.2735          | 6     |
| 3.1140     | 3.0649          | 7     |
| 2.8746     | 2.9594          | 8     |
| 2.7310     | 2.8968          | 9     |


### Framework versions

- Transformers 4.37.2
- TensorFlow 2.15.0
- Datasets 2.17.0
- Tokenizers 0.15.2