---
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: 3.0280
- Rouge1: 17.3563
- Rouge2: 8.6193
- Rougel: 17.081
- Rougelsum: 17.1297

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|:---------:|
| 7.0507        | 1.0   | 1209 | 3.3225          | 12.6324 | 4.7979 | 12.3957 | 12.4312   |
| 3.9068        | 2.0   | 2418 | 3.1852          | 16.432  | 8.2165 | 15.7321 | 15.789    |
| 3.5973        | 3.0   | 3627 | 3.0834          | 16.912  | 8.2736 | 16.3027 | 16.3174   |
| 3.4111        | 4.0   | 4836 | 3.0560          | 16.8768 | 8.0417 | 16.209  | 16.2473   |
| 3.318         | 5.0   | 6045 | 3.0464          | 17.5367 | 8.364  | 16.9286 | 16.9249   |
| 3.2435        | 6.0   | 7254 | 3.0371          | 17.3217 | 8.398  | 16.9066 | 17.0021   |
| 3.202         | 7.0   | 8463 | 3.0347          | 17.1712 | 8.0887 | 16.7378 | 16.748    |
| 3.1799        | 8.0   | 9672 | 3.0280          | 17.3563 | 8.6193 | 17.081  | 17.1297   |


### Framework versions

- Transformers 4.33.2
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3