---
license: apache-2.0
base_model: google/mt5-small
tags:
- 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: 3.3101
- Rouge1: 13.2641
- Rouge2: 4.7733
- Rougel: 13.0439
- Rougelsum: 13.1146

## 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: 16
- eval_batch_size: 16
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|:---------:|
| 4.1164        | 1.0   | 565  | 3.5818          | 12.0154 | 3.1674 | 11.9107 | 11.8538   |
| 3.8955        | 2.0   | 1130 | 3.4628          | 11.1762 | 3.135  | 11.0969 | 11.0566   |
| 3.6555        | 3.0   | 1695 | 3.3872          | 12.5361 | 4.2116 | 12.4509 | 12.3869   |
| 3.5088        | 4.0   | 2260 | 3.3396          | 12.6856 | 4.2888 | 12.4772 | 12.4739   |
| 3.4233        | 5.0   | 2825 | 3.3386          | 12.3451 | 4.269  | 12.1469 | 12.2031   |
| 3.3535        | 6.0   | 3390 | 3.3160          | 12.7596 | 4.6932 | 12.504  | 12.5963   |
| 3.3182        | 7.0   | 3955 | 3.3172          | 13.2367 | 5.0141 | 12.9874 | 13.1011   |
| 3.2891        | 8.0   | 4520 | 3.3101          | 13.2641 | 4.7733 | 13.0439 | 13.1146   |


### Framework versions

- Transformers 4.41.1
- Pytorch 2.2.2+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1