---
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: 16.529
- Rouge2: 7.7232
- Rougel: 16.1476
- Rougelsum: 16.1061

## 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          | 15.3055 | 6.8874 | 14.783  | 14.8197   |
| 3.8997        | 2.0   | 2418 | 3.1665          | 16.2363 | 7.6744 | 15.7205 | 15.7713   |
| 3.5826        | 3.0   | 3627 | 3.1106          | 17.1611 | 8.4609 | 16.4314 | 16.5041   |
| 3.421         | 4.0   | 4836 | 3.0963          | 17.2027 | 8.7845 | 16.7884 | 16.748    |
| 3.3089        | 5.0   | 6045 | 3.0490          | 16.6719 | 7.7037 | 16.1747 | 16.1419   |
| 3.2437        | 6.0   | 7254 | 3.0401          | 16.6146 | 7.9511 | 16.0485 | 15.9265   |
| 3.2133        | 7.0   | 8463 | 3.0292          | 16.2406 | 7.7499 | 15.9951 | 15.9193   |
| 3.1851        | 8.0   | 9672 | 3.0303          | 16.529  | 7.7232 | 16.1476 | 16.1061   |


### Framework versions

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