---
library_name: transformers
license: apache-2.0
base_model: google/mt5-small
tags:
- summarization
- generated_from_trainer
metrics:
- rouge
model-index:
- name: mt5-small-finetuned-amazon-fr-es
  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-finetuned-amazon-fr-es

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: 2.9815
- Rouge1: 15.1268
- Rouge2: 6.2834
- Rougel: 14.1836
- Rougelsum: 14.2891

## 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: 8

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Rouge1  | Rouge2 | Rougel  | Rougelsum |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:------:|:-------:|:---------:|
| 7.0578        | 1.0   | 1374  | 3.2895          | 11.9843 | 3.2125 | 11.6212 | 11.7535   |
| 3.8304        | 2.0   | 2748  | 3.1339          | 15.0305 | 4.9763 | 14.6223 | 14.6737   |
| 3.5073        | 3.0   | 4122  | 3.0671          | 13.8606 | 5.3467 | 13.1739 | 13.1314   |
| 3.3503        | 4.0   | 5496  | 3.0203          | 15.0263 | 6.0731 | 14.3983 | 14.4509   |
| 3.2406        | 5.0   | 6870  | 3.0035          | 15.0129 | 6.1964 | 14.2638 | 14.3531   |
| 3.1817        | 6.0   | 8244  | 2.9983          | 15.3756 | 6.3463 | 14.462  | 14.5718   |
| 3.1265        | 7.0   | 9618  | 2.9899          | 15.0742 | 6.3106 | 14.0789 | 14.224    |
| 3.1088        | 8.0   | 10992 | 2.9815          | 15.1268 | 6.2834 | 14.1836 | 14.2891   |


### Framework versions

- Transformers 4.46.2
- Pytorch 2.5.0+cu118
- Datasets 3.1.0
- Tokenizers 0.20.1