---
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: 3.0319
- Rouge1: 16.5297
- Rouge2: 8.0695
- Rougel: 16.2097
- Rougelsum: 16.1294

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|:---------:|
| 3.412         | 1.0   | 1209 | 3.1340          | 17.7742 | 8.512  | 17.0142 | 17.0204   |
| 3.3927        | 2.0   | 2418 | 3.0678          | 16.8885 | 8.3578 | 16.5111 | 16.4484   |
| 3.2559        | 3.0   | 3627 | 3.0782          | 15.7851 | 7.5518 | 15.4435 | 15.3263   |
| 3.1684        | 4.0   | 4836 | 3.0287          | 15.6152 | 7.421  | 15.4312 | 15.3636   |
| 3.1107        | 5.0   | 6045 | 3.0490          | 16.8609 | 8.0654 | 16.6694 | 16.6019   |
| 3.0603        | 6.0   | 7254 | 3.0357          | 16.0716 | 7.5671 | 15.9592 | 15.8328   |
| 3.024         | 7.0   | 8463 | 3.0307          | 16.7427 | 8.067  | 16.412  | 16.3441   |
| 3.0099        | 8.0   | 9672 | 3.0319          | 16.5297 | 8.0695 | 16.2097 | 16.1294   |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.15.0
- Tokenizers 0.15.0