---
license: mit
base_model: flax-community/spanish-t5-small
tags:
- translation
- generated_from_trainer
model-index:
- name: st5s-es-inclusivo
  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. -->

# st5s-es-inclusivo

This model is a fine-tuned version of [flax-community/spanish-t5-small](https://huggingface.co/flax-community/spanish-t5-small) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1779
- Score: 55.1958

## 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: 2e-05
- train_batch_size: 32
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 12
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Score   |
|:-------------:|:-----:|:----:|:---------------:|:-------:|
| No log        | 1.0   | 105  | 0.5096          | 21.7567 |
| No log        | 2.0   | 210  | 0.3781          | 38.3010 |
| No log        | 3.0   | 315  | 0.2693          | 49.1274 |
| No log        | 4.0   | 420  | 0.2274          | 52.3318 |
| 0.5095        | 5.0   | 525  | 0.2107          | 52.9045 |
| 0.5095        | 6.0   | 630  | 0.1982          | 54.1138 |
| 0.5095        | 7.0   | 735  | 0.1903          | 54.5379 |
| 0.5095        | 8.0   | 840  | 0.1861          | 54.7896 |
| 0.5095        | 9.0   | 945  | 0.1815          | 55.0080 |
| 0.1941        | 10.0  | 1050 | 0.1796          | 55.2191 |
| 0.1941        | 11.0  | 1155 | 0.1784          | 55.1849 |
| 0.1941        | 12.0  | 1260 | 0.1779          | 55.1958 |


### Framework versions

- Transformers 4.39.2
- Pytorch 2.2.2+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2