---
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 the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2517
- Rouge1: 14.7495
- Rouge2: 7.2226
- Rougel: 14.0109
- Rougelsum: 14.1583

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|:---------:|
| 0.3426        | 1.0   | 838  | 0.2712          | 12.6317 | 6.3377 | 12.1288 | 12.2498   |
| 0.3091        | 2.0   | 1676 | 0.2616          | 12.6631 | 6.1716 | 12.439  | 12.5201   |
| 0.2878        | 3.0   | 2514 | 0.2570          | 14.477  | 7.5074 | 13.7856 | 13.9647   |
| 0.2766        | 4.0   | 3352 | 0.2551          | 14.132  | 7.2241 | 13.6744 | 13.831    |
| 0.2686        | 5.0   | 4190 | 0.2523          | 14.324  | 6.4759 | 13.7568 | 13.8855   |
| 0.2631        | 6.0   | 5028 | 0.2522          | 15.5031 | 7.5588 | 14.7522 | 14.9207   |
| 0.2594        | 7.0   | 5866 | 0.2513          | 15.0739 | 7.4589 | 14.2674 | 14.4301   |
| 0.2561        | 8.0   | 6704 | 0.2517          | 14.7495 | 7.2226 | 14.0109 | 14.1583   |


### Framework versions

- Transformers 4.47.0
- Pytorch 2.5.1
- Datasets 3.1.0
- Tokenizers 0.21.0