---
library_name: transformers
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 an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 3.2830
- Rouge1: 15.06
- Rouge2: 6.78
- Rougel: 14.55
- Rougelsum: 14.52

## 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: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 8

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|
| No log        | 1.0   | 125  | 3.2940          | 14.93  | 6.52   | 14.68  | 14.68     |
| No log        | 2.0   | 250  | 3.2848          | 14.36  | 6.32   | 13.93  | 13.9      |
| No log        | 3.0   | 375  | 3.2891          | 14.01  | 6.4    | 13.68  | 13.61     |
| No log        | 4.0   | 500  | 3.2786          | 14.26  | 6.35   | 13.87  | 13.83     |
| No log        | 5.0   | 625  | 3.2825          | 14.55  | 5.54   | 14.17  | 14.14     |
| No log        | 6.0   | 750  | 3.2934          | 14.16  | 6.38   | 13.81  | 13.78     |
| No log        | 7.0   | 875  | 3.2830          | 14.83  | 6.67   | 14.43  | 14.39     |
| No log        | 8.0   | 1000 | 3.2830          | 15.06  | 6.78   | 14.55  | 14.52     |


### Framework versions

- Transformers 4.46.2
- Pytorch 2.5.1+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3