---
metrics:
- bleu
tags:
- generated_from_trainer
model-index:
- name: mt5-small-ainu
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# mt5-small-ainu

This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.8639
- Bleu: 19.8267

## 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:
- learning_rate: 0.0006
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Bleu    |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|
| 2.4842        | 1.0   | 4670  | 2.1813          | 8.3904  |
| 2.0771        | 2.0   | 9340  | 1.9269          | 5.7433  |
| 1.8222        | 3.0   | 14010 | 1.8170          | 12.8222 |
| 1.6758        | 4.0   | 18680 | 1.7569          | 14.3024 |
| 1.5447        | 5.0   | 23350 | 1.7277          | 12.3842 |
| 1.4545        | 6.0   | 28020 | 1.7188          | 14.1082 |
| 1.3417        | 7.0   | 32690 | 1.7104          | 16.6177 |
| 1.2347        | 8.0   | 37360 | 1.7262          | 17.4827 |
| 1.1565        | 9.0   | 42030 | 1.7268          | 17.7124 |
| 1.081         | 10.0  | 46700 | 1.7581          | 18.6729 |
| 1.02          | 11.0  | 51370 | 1.7768          | 20.2419 |
| 0.9513        | 12.0  | 56040 | 1.8162          | 20.0469 |
| 0.8934        | 13.0  | 60710 | 1.8370          | 19.7150 |
| 0.8343        | 14.0  | 65380 | 1.8639          | 19.8267 |


### Framework versions

- Transformers 4.40.1
- Pytorch 2.1.2
- Datasets 2.19.0
- Tokenizers 0.19.1