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---
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_batch32
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_batch32
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: 0.8143
- Accuracy: 0.8451
- Precision: 0.8438
- Recall: 0.8451
- F1: 0.8443
## 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: 32
- 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 |
|:-------------:|:------:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
| 0.5652 | 0.4292 | 400 | 0.5002 | 0.8044 | 0.8041 | 0.8044 | 0.8037 |
| 0.4494 | 0.8584 | 800 | 0.4102 | 0.8337 | 0.8341 | 0.8337 | 0.8338 |
| 0.3439 | 1.2876 | 1200 | 0.4437 | 0.8268 | 0.8427 | 0.8268 | 0.8286 |
| 0.3099 | 1.7167 | 1600 | 0.4289 | 0.8369 | 0.8387 | 0.8369 | 0.8375 |
| 0.26 | 2.1459 | 2000 | 0.4758 | 0.8405 | 0.8422 | 0.8405 | 0.8413 |
| 0.1838 | 2.5751 | 2400 | 0.5046 | 0.8384 | 0.8416 | 0.8384 | 0.8388 |
| 0.1733 | 3.0043 | 2800 | 0.4968 | 0.8378 | 0.8390 | 0.8378 | 0.8371 |
| 0.0997 | 3.4335 | 3200 | 0.6251 | 0.8412 | 0.8397 | 0.8412 | 0.8403 |
| 0.102 | 3.8627 | 3600 | 0.6324 | 0.8496 | 0.8504 | 0.8496 | 0.8499 |
| 0.0719 | 4.2918 | 4000 | 0.7935 | 0.8455 | 0.8463 | 0.8455 | 0.8449 |
| 0.0576 | 4.7210 | 4400 | 0.8143 | 0.8451 | 0.8438 | 0.8451 | 0.8443 |
### Framework versions
- Transformers 4.48.3
- Pytorch 2.5.1+cu124
- Datasets 3.3.2
- Tokenizers 0.21.0
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