---
language:
- es
license: cc-by-4.0
tags:
- generated_from_trainer
datasets:
- jorgeortizfuentes/toxicity_spanish_incivility_v3
metrics:
- f1
model-index:
- name: incivility-dv3-patana-chilean-spanish-bert-j63zilm4
  results:
  - task:
      name: Text Classification
      type: text-classification
    dataset:
      name: jorgeortizfuentes/toxicity_spanish_incivility_v3
      type: jorgeortizfuentes/toxicity_spanish_incivility_v3
      split: validation
    metrics:
    - name: F1
      type: f1
      value: 0.9135014363230132
---

<!-- 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. -->

# incivility-dv3-patana-chilean-spanish-bert-j63zilm4

This model is a fine-tuned version of [dccuchile/patana-chilean-spanish-bert](https://huggingface.co./dccuchile/patana-chilean-spanish-bert) on the jorgeortizfuentes/toxicity_spanish_incivility_v3 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5672
- F1: 0.9135

## 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: 128
- eval_batch_size: 128
- seed: 13
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | F1     |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 0.1351        | 5.0   | 455  | 0.4608          | 0.9119 |
| 0.0114        | 10.0  | 910  | 0.5672          | 0.9135 |


### Framework versions

- Transformers 4.30.2
- Pytorch 2.0.1+cu117
- Datasets 2.13.1
- Tokenizers 0.13.3