---
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: 17.111
- Rouge2: 8.39
- Rougel: 16.7227
- Rougelsum: 16.7209

## 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          | 14.0925 | 6.2495 | 13.7784 | 13.9647   |
| 3.9195        | 2.0   | 2418 | 3.1859          | 16.0052 | 8.1545 | 15.4495 | 15.5175   |
| 3.5975        | 3.0   | 3627 | 3.0945          | 17.4726 | 9.0998 | 16.9741 | 17.1364   |
| 3.4241        | 4.0   | 4836 | 3.0913          | 16.3822 | 7.7661 | 15.852  | 15.9198   |
| 3.3252        | 5.0   | 6045 | 3.0588          | 16.6252 | 8.1458 | 16.1867 | 16.2189   |
| 3.2442        | 6.0   | 7254 | 3.0444          | 17.1532 | 8.4258 | 16.7123 | 16.7598   |
| 3.2149        | 7.0   | 8463 | 3.0355          | 17.4131 | 8.7262 | 17.0104 | 17.0702   |
| 3.184         | 8.0   | 9672 | 3.0349          | 17.111  | 8.39   | 16.7227 | 16.7209   |


### Framework versions

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