---
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 was created by following the [huggingface tutorial](https://huggingface.co/course/chapter7/5?fw=pt).

It achieves the following results on the evaluation set:
- Loss: 3.0173
- Rouge1: 16.7977
- Rouge2: 8.6849
- Rougel: 16.4822
- Rougelsum: 16.4975

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|:---------:|
| 3.4693        | 1.0   | 1209 | 3.1215          | 17.5363 | 8.3875 | 17.0229 | 16.9653   |
| 3.4231        | 2.0   | 2418 | 3.0474          | 16.7927 | 8.3533 | 16.2748 | 16.2379   |
| 3.271         | 3.0   | 3627 | 3.0440          | 16.7233 | 7.9129 | 16.2385 | 16.1915   |
| 3.1885        | 4.0   | 4836 | 3.0264          | 16.3078 | 7.5751 | 15.844  | 15.889    |
| 3.1216        | 5.0   | 6045 | 3.0277          | 17.259  | 8.7504 | 16.8293 | 16.8543   |
| 3.0739        | 6.0   | 7254 | 3.0188          | 16.8374 | 8.6457 | 16.4407 | 16.4743   |
| 3.0393        | 7.0   | 8463 | 3.0161          | 17.3064 | 8.7822 | 16.9423 | 16.9543   |
| 3.0202        | 8.0   | 9672 | 3.0173          | 16.7977 | 8.6849 | 16.4822 | 16.4975   |


### Framework versions

- Transformers 4.19.2
- Pytorch 1.11.0+cu113
- Datasets 2.2.1
- Tokenizers 0.12.1