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

# bic-fil-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: 0.4212
- Validation Loss: 2.6637
- 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 |
|:----------:|:---------------:|:-----:|
| 6.4138     | 5.0392          | 0     |
| 4.7105     | 3.8096          | 1     |
| 3.7780     | 3.2907          | 2     |
| 3.2925     | 3.0002          | 3     |
| 2.9407     | 2.8001          | 4     |
| 2.6372     | 2.6142          | 5     |
| 2.3310     | 2.4768          | 6     |
| 2.1052     | 2.2808          | 7     |
| 1.8424     | 2.2372          | 8     |
| 1.6298     | 2.2036          | 9     |
| 1.4416     | 2.1891          | 10    |
| 1.2660     | 2.1835          | 11    |
| 1.1067     | 2.2480          | 12    |
| 0.9585     | 2.2821          | 13    |
| 0.8516     | 2.3494          | 14    |
| 0.7260     | 2.4127          | 15    |
| 0.6270     | 2.5566          | 16    |
| 0.5473     | 2.5503          | 17    |
| 0.4718     | 2.6471          | 18    |
| 0.4212     | 2.6637          | 19    |


### Framework versions

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