---
library_name: transformers
license: cc-by-4.0
base_model: dccuchile/tulio-chilean-spanish-bert
tags:
- generated_from_trainer
metrics:
- accuracy
- precision
- recall
- f1
model-index:
- name: gestionabilidad_v1_batch16
  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. -->

# gestionabilidad_v1_batch16

This model is a fine-tuned version of [dccuchile/tulio-chilean-spanish-bert](https://huggingface.co/dccuchile/tulio-chilean-spanish-bert) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3453
- Accuracy: 0.9419
- Precision: 0.9422
- Recall: 0.9419
- F1: 0.9420

## 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: 5e-05
- train_batch_size: 16
- 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: 3

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Accuracy | Precision | Recall | F1     |
|:-------------:|:------:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
| 0.0985        | 0.2670 | 200  | 0.4983          | 0.9118   | 0.9207    | 0.9118 | 0.9135 |
| 0.1098        | 0.5340 | 400  | 0.3588          | 0.9225   | 0.9261    | 0.9225 | 0.9234 |
| 0.1049        | 0.8011 | 600  | 0.2562          | 0.9325   | 0.9322    | 0.9325 | 0.9319 |
| 0.0706        | 1.0681 | 800  | 0.4060          | 0.9309   | 0.9330    | 0.9309 | 0.9314 |
| 0.0376        | 1.3351 | 1000 | 0.3807          | 0.9339   | 0.9346    | 0.9339 | 0.9341 |
| 0.0406        | 1.6021 | 1200 | 0.3532          | 0.9365   | 0.9367    | 0.9365 | 0.9366 |
| 0.0528        | 1.8692 | 1400 | 0.2903          | 0.9452   | 0.9452    | 0.9452 | 0.9452 |
| 0.0624        | 2.1362 | 1600 | 0.3112          | 0.9439   | 0.9442    | 0.9439 | 0.9440 |
| 0.0219        | 2.4032 | 1800 | 0.3662          | 0.9419   | 0.9422    | 0.9419 | 0.9420 |
| 0.021         | 2.6702 | 2000 | 0.3364          | 0.9452   | 0.9452    | 0.9452 | 0.9452 |
| 0.0297        | 2.9372 | 2200 | 0.3453          | 0.9419   | 0.9422    | 0.9419 | 0.9420 |


### Framework versions

- Transformers 4.48.3
- Pytorch 2.5.1+cu124
- Datasets 3.3.2
- Tokenizers 0.21.0