---
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: 3.0656
- Rouge1: 15.6444
- Rouge2: 7.1213
- Rougel: 15.1199
- Rougelsum: 15.1977

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|:---------:|
| 7.1956        | 1.0   | 1209 | 3.3170          | 14.3233 | 5.9058 | 14.2101 | 14.1479   |
| 3.8992        | 2.0   | 2418 | 3.2469          | 17.2106 | 8.2802 | 16.5694 | 16.6279   |
| 3.6016        | 3.0   | 3627 | 3.1369          | 16.6585 | 8.3859 | 16.0162 | 16.0873   |
| 3.4161        | 4.0   | 4836 | 3.1090          | 16.4091 | 7.9873 | 15.9314 | 15.9518   |
| 3.3189        | 5.0   | 6045 | 3.0682          | 15.9424 | 7.1211 | 15.4668 | 15.4841   |
| 3.2496        | 6.0   | 7254 | 3.0482          | 15.8669 | 7.273  | 15.3226 | 15.363    |
| 3.1971        | 7.0   | 8463 | 3.0712          | 15.9518 | 7.2165 | 15.3741 | 15.4616   |
| 3.1778        | 8.0   | 9672 | 3.0656          | 15.6444 | 7.1213 | 15.1199 | 15.1977   |


### Framework versions

- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1