---
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 an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.7308
- Bleu: 0.0181
- Gen Len: 27.656

## 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: 6

### Training results

| Training Loss | Epoch | Step | Validation Loss | Bleu   | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|
| No log        | 1.0   | 377  | 10.5974         | 0.0027 | 128.0   |
| 16.889        | 2.0   | 754  | 6.2000          | 0.0006 | 127.762 |
| 8.7035        | 3.0   | 1131 | 4.2664          | 0.0024 | 48.7383 |
| 5.0692        | 4.0   | 1508 | 3.3315          | 0.0103 | 30.2219 |
| 5.0692        | 5.0   | 1885 | 2.8775          | 0.0202 | 27.7363 |
| 3.7431        | 6.0   | 2262 | 2.7308          | 0.0181 | 27.656  |


### Framework versions

- Transformers 4.40.0
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1