---
license: apache-2.0
base_model: google/mt5-small
tags:
- summarization
- generated_from_trainer
metrics:
- rouge
model-index:
- name: mt5-small-finetuned-amazon-reviews-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-reviews-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: 3.0821
- Rouge1: 16.9898
- Rouge2: 8.8591
- Rougel: 16.4898
- Rougelsum: 16.4049

## 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: 32
- eval_batch_size: 32
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|:---------:|
| No log        | 1.0   | 303  | 3.8547          | 8.3494  | 2.0589 | 8.0829  | 8.1616    |
| No log        | 2.0   | 606  | 3.2801          | 13.8562 | 5.4287 | 13.5685 | 13.5248   |
| No log        | 3.0   | 909  | 3.1936          | 14.808  | 6.5817 | 14.0409 | 13.997    |
| 5.736         | 4.0   | 1212 | 3.1461          | 15.1274 | 7.8439 | 14.7732 | 14.7881   |
| 5.736         | 5.0   | 1515 | 3.1016          | 16.5746 | 8.598  | 16.0209 | 15.9155   |
| 5.736         | 6.0   | 1818 | 3.0917          | 16.6895 | 8.8052 | 16.1651 | 16.0524   |
| 5.736         | 7.0   | 2121 | 3.0836          | 16.9473 | 8.8697 | 16.4392 | 16.3241   |
| 3.7032        | 8.0   | 2424 | 3.0821          | 16.9898 | 8.8591 | 16.4898 | 16.4049   |


### Framework versions

- Transformers 4.36.2
- Pytorch 2.1.1
- Datasets 2.16.1
- Tokenizers 0.15.0