---
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: 3.0348
- Rouge1: 17.5116
- Rouge2: 8.5034
- Rougel: 17.2199
- Rougelsum: 17.0937

## 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: 8

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2 | Rougel  | Rougelsum |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|:---------:|
| 6.6706        | 1.0   | 1209 | 3.3114          | 13.1025 | 4.546  | 12.6485 | 12.5756   |
| 3.9103        | 2.0   | 2418 | 3.1923          | 16.1192 | 8.3043 | 15.7004 | 15.6132   |
| 3.5937        | 3.0   | 3627 | 3.0927          | 17.9684 | 9.2115 | 17.5115 | 17.4098   |
| 3.4088        | 4.0   | 4836 | 3.0605          | 17.8543 | 8.4785 | 17.2866 | 17.1586   |
| 3.3178        | 5.0   | 6045 | 3.0501          | 16.029  | 7.6078 | 15.5929 | 15.4296   |
| 3.2438        | 6.0   | 7254 | 3.0422          | 16.645  | 8.345  | 16.3489 | 16.1929   |
| 3.2005        | 7.0   | 8463 | 3.0404          | 16.6148 | 7.5599 | 16.2553 | 16.1232   |
| 3.1792        | 8.0   | 9672 | 3.0348          | 17.5116 | 8.5034 | 17.2199 | 17.0937   |


### Framework versions

- Transformers 4.33.0.dev0
- Pytorch 2.0.0+cu117
- Datasets 2.14.4
- Tokenizers 0.13.3