---
license: apache-2.0
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: 3.0884
- Rouge1: 17.1847
- Rouge2: 8.3579
- Rougel: 16.7437
- Rougelsum: 16.7013

## 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: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2 | Rougel  | Rougelsum |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|:---------:|
| 7.0911        | 1.0   | 1209 | 3.3147          | 13.5672 | 5.2491 | 13.2852 | 13.2424   |
| 3.9482        | 2.0   | 2418 | 3.1565          | 16.6427 | 7.9417 | 15.9819 | 15.9061   |
| 3.6511        | 3.0   | 3627 | 3.1186          | 17.3001 | 8.7502 | 16.7138 | 16.7334   |
| 3.5201        | 4.0   | 4836 | 3.0969          | 16.7251 | 7.8414 | 16.0046 | 15.9171   |
| 3.456         | 5.0   | 6045 | 3.0884          | 17.1847 | 8.3579 | 16.7437 | 16.7013   |


### Framework versions

- Transformers 4.28.1
- Pytorch 2.0.0+cu118
- Datasets 2.11.0
- Tokenizers 0.13.3