---
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-v2_batch64
  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-v2_batch64

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: 0.0034
- Accuracy: 0.9994
- Precision: 0.9994
- Recall: 0.9994
- F1: 0.9994

## 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: 64
- 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: 5

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Accuracy | Precision | Recall | F1     |
|:-------------:|:------:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
| 0.0229        | 0.5330 | 500  | 0.0098          | 0.9977   | 0.9977    | 0.9977 | 0.9977 |
| 0.0118        | 1.0661 | 1000 | 0.0068          | 0.9986   | 0.9986    | 0.9986 | 0.9986 |
| 0.0042        | 1.5991 | 1500 | 0.0067          | 0.9988   | 0.9988    | 0.9988 | 0.9988 |
| 0.0041        | 2.1322 | 2000 | 0.0052          | 0.9991   | 0.9991    | 0.9991 | 0.9991 |
| 0.0033        | 2.6652 | 2500 | 0.0055          | 0.9989   | 0.9989    | 0.9989 | 0.9989 |
| 0.0014        | 3.1983 | 3000 | 0.0052          | 0.9992   | 0.9992    | 0.9992 | 0.9992 |
| 0.0005        | 3.7313 | 3500 | 0.0036          | 0.9993   | 0.9993    | 0.9993 | 0.9993 |
| 0.0009        | 4.2644 | 4000 | 0.0040          | 0.9993   | 0.9993    | 0.9993 | 0.9993 |
| 0.0003        | 4.7974 | 4500 | 0.0034          | 0.9994   | 0.9994    | 0.9994 | 0.9994 |


### Framework versions

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