---
language:
- pt
license: apache-2.0
tags:
- toxicity
- portuguese
- hate speech
- offensive language
- generated_from_trainer
metrics:
- accuracy
- f1
- precision
- recall
model-index:
- name: dougtrajano/toxicity-target-classification
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# dougtrajano/toxicity-target-classification

This model is a fine-tuned version of [neuralmind/bert-base-portuguese-cased](https://huggingface.co/neuralmind/bert-base-portuguese-cased) on the OLID-BR dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6110
- Accuracy: 0.6864
- F1: 0.6872
- Precision: 0.6882
- Recall: 0.6864

## 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: 4.174021560583183e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 1993
- optimizer: Adam with betas=(0.9360294728287728,0.9974781444436187) and epsilon=8.016624612627008e-07
- lr_scheduler_type: linear
- num_epochs: 30
- label_smoothing_factor: 0.09936835309930625

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     | Precision | Recall |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
| 0.633         | 1.0   | 537  | 0.6040          | 0.6919   | 0.5805 | 0.6351    | 0.6919 |
| 0.5915        | 2.0   | 1074 | 0.6110          | 0.6864   | 0.6872 | 0.6882    | 0.6864 |
| 0.4584        | 3.0   | 1611 | 0.7104          | 0.6933   | 0.6606 | 0.6605    | 0.6933 |
| 0.3564        | 4.0   | 2148 | 0.9816          | 0.6168   | 0.6307 | 0.6671    | 0.6168 |


### Framework versions

- Transformers 4.26.0
- Pytorch 1.10.2+cu113
- Datasets 2.9.0
- Tokenizers 0.13.2