---
license: apache-2.0
tags:
- generated_from_keras_callback
model-index:
- name: foxxy-hm/mt5-small-finetuned-wikilingua-en-vi
  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. -->

# foxxy-hm/mt5-small-finetuned-wikilingua-en-vi

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: 2.0995
- Validation Loss: 1.7594
- Epoch: 7

## 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': 'PolynomialDecay', 'config': {'initial_learning_rate': 5.6e-05, 'decay_steps': 16208, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, '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: mixed_float16

### Training results

| Train Loss | Validation Loss | Epoch |
|:----------:|:---------------:|:-----:|
| 4.4772     | 2.1093          | 0     |
| 2.8808     | 1.9781          | 1     |
| 2.5121     | 1.8920          | 2     |
| 2.3034     | 1.8253          | 3     |
| 2.1755     | 1.7736          | 4     |
| 2.1104     | 1.7594          | 5     |
| 2.0990     | 1.7594          | 6     |
| 2.0995     | 1.7594          | 7     |


### Framework versions

- Transformers 4.27.2
- TensorFlow 2.12.0
- Datasets 2.11.0
- Tokenizers 0.13.3