---
license: apache-2.0
tags:
- generated_from_keras_callback
base_model: google/mt5-base
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: 0.2155
- Validation Loss: 2.4691
- Epoch: 19

## 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 |
|:----------:|:---------------:|:-----:|
| 4.8782     | 3.0764          | 0     |
| 3.0550     | 2.4897          | 1     |
| 2.4361     | 2.1678          | 2     |
| 2.0424     | 1.9982          | 3     |
| 1.7454     | 1.8860          | 4     |
| 1.5089     | 1.8502          | 5     |
| 1.3137     | 1.8682          | 6     |
| 1.1487     | 1.8252          | 7     |
| 0.9793     | 1.8486          | 8     |
| 0.8428     | 1.8815          | 9     |
| 0.7107     | 1.9716          | 10    |
| 0.6015     | 2.0271          | 11    |
| 0.5106     | 2.1239          | 12    |
| 0.4392     | 2.2095          | 13    |
| 0.3786     | 2.2045          | 14    |
| 0.3315     | 2.2884          | 15    |
| 0.2882     | 2.3419          | 16    |
| 0.2587     | 2.4029          | 17    |
| 0.2354     | 2.4173          | 18    |
| 0.2155     | 2.4691          | 19    |


### Framework versions

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