---
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: mt5-small
  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

This model was trained from scratch on TEC-JL Japanese learner error corpus dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0758
- Bleu: 67.2605
- Gen Len: 13.051

## 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: 2e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 12

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Bleu    | Gen Len |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|
| 1.0485        | 1.0   | 3125  | 0.7139          | 0.0061  | 13.051  |
| 0.2413        | 2.0   | 6250  | 0.1114          | 53.3974 | 13.056  |
| 0.1153        | 3.0   | 9375  | 0.0937          | 61.71   | 13.056  |
| 0.0918        | 4.0   | 12500 | 0.0867          | 63.8407 | 13.056  |
| 0.0819        | 5.0   | 15625 | 0.0833          | 65.2015 | 13.056  |
| 0.08          | 6.0   | 18750 | 0.0806          | 65.6513 | 13.056  |
| 0.078         | 7.0   | 21875 | 0.0793          | 66.3861 | 13.051  |
| 0.0704        | 8.0   | 25000 | 0.0779          | 66.6447 | 13.051  |
| 0.0724        | 9.0   | 28125 | 0.0759          | 67.2105 | 13.051  |
| 0.0707        | 10.0  | 31250 | 0.0765          | 67.3232 | 13.051  |
| 0.0682        | 11.0  | 34375 | 0.0761          | 67.3443 | 13.051  |
| 0.07          | 12.0  | 37500 | 0.0758          | 67.2605 | 13.051  |


### Framework versions

- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2