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

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: 0.3914
- Accuracy: 0.85
- F1: 0.4079
- Precision: 0.5536
- Recall: 0.3229

## 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: 16
- 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
- lr_scheduler_warmup_steps: 100
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     | Precision | Recall |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
| 0.4025        | 1.0   | 188  | 0.4087          | 0.845    | 0.0792 | 0.8       | 0.0417 |
| 0.2873        | 2.0   | 376  | 0.3914          | 0.85     | 0.4079 | 0.5536    | 0.3229 |
| 0.1733        | 3.0   | 564  | 0.5351          | 0.8283   | 0.4046 | 0.4545    | 0.3646 |


### Framework versions

- Transformers 5.9.0
- Pytorch 2.11.0+cpu
- Datasets 4.8.5
- Tokenizers 0.22.2