---
library_name: transformers
base_model: dccuchile/bert-base-spanish-wwm-cased
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
- precision
- recall
model-index:
- name: results_bert-base-spanish-wwm-cased
  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. -->

# results_bert-base-spanish-wwm-cased

This model is a fine-tuned version of [dccuchile/bert-base-spanish-wwm-cased](https://huggingface.co/dccuchile/bert-base-spanish-wwm-cased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3337
- Accuracy: 0.9209
- F1: 0.8454
- Precision: 0.7912
- Recall: 0.9076

## 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: 3e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED 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 | F1     | Precision | Recall |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
| No log        | 1.0   | 88   | 0.3111          | 0.8849   | 0.7935 | 0.6928    | 0.9286 |
| No log        | 2.0   | 176  | 0.3687          | 0.8809   | 0.7909 | 0.6798    | 0.9454 |
| No log        | 3.0   | 264  | 0.4563          | 0.8899   | 0.8029 | 0.7       | 0.9412 |
| No log        | 4.0   | 352  | 0.3337          | 0.9209   | 0.8454 | 0.7912    | 0.9076 |
| No log        | 5.0   | 440  | 0.4174          | 0.9039   | 0.8216 | 0.7367    | 0.9286 |


### Framework versions

- Transformers 4.56.1
- Pytorch 2.8.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.0