---
library_name: transformers
license: apache-2.0
base_model: google/mt5-small
tags:
- summarization
- generated_from_trainer
metrics:
- rouge
model-index:
- name: mt5-small-RecetasdelaAbuela-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-RecetasdelaAbuela-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: 0.1833
- Rouge1: 80.0
- Rouge2: 61.5385
- Rougel: 80.0
- Rougelsum: 80.0

## 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 OptimizerNames.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 |
|:-------------:|:-----:|:-----:|:---------------:|:------:|:-------:|:------:|:---------:|
| 1.4237        | 1.0   | 2024  | 0.2535          | 80.0   | 61.5385 | 80.0   | 80.0      |
| 0.2757        | 2.0   | 4048  | 0.2099          | 80.0   | 61.5385 | 80.0   | 80.0      |
| 0.2417        | 3.0   | 6072  | 0.1991          | 80.0   | 61.5385 | 80.0   | 80.0      |
| 0.224         | 4.0   | 8096  | 0.1927          | 80.0   | 61.5385 | 80.0   | 80.0      |
| 0.2165        | 5.0   | 10120 | 0.1875          | 80.0   | 61.5385 | 80.0   | 80.0      |
| 0.2076        | 6.0   | 12144 | 0.1858          | 80.0   | 61.5385 | 80.0   | 80.0      |
| 0.2042        | 7.0   | 14168 | 0.1837          | 80.0   | 61.5385 | 80.0   | 80.0      |
| 0.2005        | 8.0   | 16192 | 0.1833          | 80.0   | 61.5385 | 80.0   | 80.0      |


### Framework versions

- Transformers 4.50.2
- Pytorch 2.6.0+cu124
- Datasets 3.5.0
- Tokenizers 0.21.1