---
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: 3.0349
- Rouge1: 17.1191
- Rouge2: 8.4119
- Rougel: 16.6388
- Rougelsum: 16.6017

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|:---------:|
| 7.3401        | 1.0   | 1209 | 3.3465          | 14.1778 | 6.284  | 13.8905 | 13.8872   |
| 3.9195        | 2.0   | 2418 | 3.1859          | 15.9786 | 8.1666 | 15.3933 | 15.3693   |
| 3.5975        | 3.0   | 3627 | 3.0945          | 17.5518 | 9.134  | 16.9215 | 16.8899   |
| 3.4241        | 4.0   | 4836 | 3.0913          | 16.3875 | 7.6999 | 15.8311 | 15.8004   |
| 3.3252        | 5.0   | 6045 | 3.0588          | 16.6777 | 8.1639 | 16.1058 | 16.1357   |
| 3.2442        | 6.0   | 7254 | 3.0444          | 17.141  | 8.4204 | 16.6366 | 16.6896   |
| 3.2149        | 7.0   | 8463 | 3.0355          | 17.3266 | 8.7249 | 16.9438 | 16.9154   |
| 3.184         | 8.0   | 9672 | 3.0349          | 17.1191 | 8.4119 | 16.6388 | 16.6017   |


### Framework versions

- Transformers 4.33.3
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3