---
library_name: transformers
tags:
- translation
- 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 an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 13.1971
- Bleu: 0.0279
- Gen Len: 3.0

## 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: 5.6e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | Bleu   | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|
| No log        | 1.0   | 10   | 17.3800         | 0.0254 | 2.95    |
| No log        | 2.0   | 20   | 14.8955         | 0.0309 | 3.0     |
| No log        | 3.0   | 30   | 13.6927         | 0.0274 | 2.9     |
| No log        | 4.0   | 40   | 13.1837         | 0.0279 | 3.0     |
| No log        | 5.0   | 50   | 13.1971         | 0.0279 | 3.0     |


### Framework versions

- Transformers 4.49.0
- Pytorch 2.6.0+cu124
- Datasets 3.4.1
- Tokenizers 0.21.1