---
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-en-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-en-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: 13.0523
- Rouge1: 0.6901
- Rouge2: 0.0
- Rougel: 0.7131
- Rougelsum: 0.6901

## 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 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 |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|
| 20.4138       | 1.0   | 11   | 17.0350         | 0.3221 | 0.0    | 0.3221 | 0.3221    |
| 20.9666       | 2.0   | 22   | 15.8389         | 0.3221 | 0.0    | 0.3221 | 0.3221    |
| 20.3285       | 3.0   | 33   | 14.7984         | 0.6901 | 0.0    | 0.7131 | 0.6901    |
| 20.2575       | 4.0   | 44   | 13.7555         | 0.6901 | 0.0    | 0.7131 | 0.6901    |
| 19.3567       | 5.0   | 55   | 13.0846         | 0.6901 | 0.0    | 0.7131 | 0.6901    |
| 19.568        | 6.0   | 66   | 13.0045         | 0.6901 | 0.0    | 0.7131 | 0.6901    |
| 18.6292       | 7.0   | 77   | 13.0753         | 0.3221 | 0.0    | 0.3221 | 0.3221    |
| 18.4457       | 8.0   | 88   | 13.0523         | 0.6901 | 0.0    | 0.7131 | 0.6901    |


### Framework versions

- Transformers 4.46.3
- Pytorch 2.5.1+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3