---
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: 3.0627
- Rouge1: 16.0196
- Rouge2: 8.1799
- Rougel: 15.706
- Rougelsum: 15.665

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:------:|:-------:|:---------:|
| 5.2215        | 1.0   | 3183  | 3.2285          | 15.3571 | 7.5876 | 14.8818 | 14.921    |
| 3.5658        | 2.0   | 6366  | 3.1463          | 15.6259 | 7.5423 | 15.066  | 15.0553   |
| 3.337         | 3.0   | 9549  | 3.0946          | 15.952  | 7.9278 | 15.522  | 15.5298   |
| 3.2058        | 4.0   | 12732 | 3.0638          | 14.9256 | 6.9173 | 14.6062 | 14.5762   |
| 3.1088        | 5.0   | 15915 | 3.0617          | 15.7701 | 7.7605 | 15.3497 | 15.4116   |
| 3.0411        | 6.0   | 19098 | 3.0561          | 15.5238 | 7.749  | 15.0419 | 15.1077   |
| 3.0102        | 7.0   | 22281 | 3.0544          | 15.4735 | 7.2486 | 15.0972 | 15.1334   |
| 2.9787        | 8.0   | 25464 | 3.0627          | 16.0196 | 8.1799 | 15.706  | 15.665    |


### Framework versions

- Transformers 4.46.2
- Pytorch 2.5.1+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3