metadata
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: []
dougtrajano/toxicity-target-classification
This model is a fine-tuned version of 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