---
language:
- es
tags:
- generated_from_trainer
datasets:
- jorgeortizfuentes/spanish-offensive-language
metrics:
- f1
model-index:
- name: spanish-offensive-language-bert-base-spanish-wwm-cased
  results:
  - task:
      name: Text Classification
      type: text-classification
    dataset:
      name: jorgeortizfuentes/spanish-offensive-language
      type: jorgeortizfuentes/spanish-offensive-language
    metrics:
    - name: F1
      type: f1
      value: 0.5861096817040292
---

<!-- 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. -->

# spanish-offensive-language-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 the jorgeortizfuentes/spanish-offensive-language dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7753
- F1: 0.5861

## 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: 48
- eval_batch_size: 48
- seed: 13
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | F1     |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 0.6383        | 1.0   | 166  | 0.6105          | 0.4916 |
| 0.5779        | 2.0   | 332  | 0.6027          | 0.5531 |
| 0.4791        | 3.0   | 498  | 0.6503          | 0.5852 |
| 0.3626        | 4.0   | 664  | 0.7753          | 0.5861 |
| 0.2758        | 5.0   | 830  | 0.8416          | 0.5856 |


### Framework versions

- Transformers 4.30.2
- Pytorch 2.1.1+cu121
- Datasets 2.15.0
- Tokenizers 0.13.3