---
library_name: transformers
license: apache-2.0
base_model: google/mt5-small
tags:
- generated_from_trainer
model-index:
- name: mt5-small-GEC-spanish-cowsl2h
  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-GEC-spanish-cowsl2h

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:
- Loss: 0.1076
- Gleu: 0.4330

## 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: 0.0005125104186712581
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- 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
- lr_scheduler_warmup_steps: 0.08931724594470192
- num_epochs: 4

### Training results

| Training Loss | Epoch | Step | Validation Loss | Gleu   |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 2.8884        | 1.0   | 388  | 0.2258          | 0.0917 |
| 0.3333        | 2.0   | 776  | 0.1217          | 0.3753 |
| 0.2522        | 3.0   | 1164 | 0.1126          | 0.4238 |
| 0.2273        | 4.0   | 1552 | 0.1076          | 0.4330 |


### Framework versions

- Transformers 5.0.0
- Pytorch 2.7.0+cu126
- Datasets 4.8.5
- Tokenizers 0.22.2