---
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: 3.0303
- Rouge1: 16.5779
- Rouge2: 7.6628
- Rougel: 16.1432
- Rougelsum: 16.0108

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|:---------:|
| 6.9675        | 1.0   | 1209 | 3.2986          | 15.3253 | 6.9003 | 14.889  | 14.7934   |
| 3.8997        | 2.0   | 2418 | 3.1665          | 16.4209 | 7.6246 | 15.8049 | 15.6988   |
| 3.5826        | 3.0   | 3627 | 3.1106          | 17.2164 | 8.4302 | 16.5395 | 16.3992   |
| 3.421         | 4.0   | 4836 | 3.0963          | 17.3394 | 8.7889 | 16.8507 | 16.7652   |
| 3.3089        | 5.0   | 6045 | 3.0490          | 16.7239 | 7.5913 | 16.2355 | 16.1438   |
| 3.2437        | 6.0   | 7254 | 3.0401          | 16.6428 | 7.9473 | 16.0411 | 15.9346   |
| 3.2133        | 7.0   | 8463 | 3.0292          | 16.3094 | 7.634  | 15.9688 | 15.8809   |
| 3.1851        | 8.0   | 9672 | 3.0303          | 16.5779 | 7.6628 | 16.1432 | 16.0108   |


### Framework versions

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