dougtrajano/toxic-comment-classification
3119
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dougtrajano/toxic-comment-classification
This model is a fine-tuned version of neuralmind/bert-large-portuguese-cased on the OLID-BR dataset. It achieves the following results on the evaluation set:
- Loss: 0.4102
- Accuracy: 0.8547
- F1: 0.8549
- Precision: 0.8669
- Recall: 0.8547
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: 3.255788747459486e-05
- trainbatchsize: 8
- evalbatchsize: 8
- seed: 1993
- optimizer: Adam with betas=(0.8445637934160373,0.8338816842140165) and epsilon=2.527092625455385e-08
- lrschedulertype: linear
- num_epochs: 30
- labelsmoothingfactor: 0.07158711257743958
Training results
Framework versions
- Transformers 4.26.1
- Pytorch 1.10.2+cu113
- Datasets 2.9.0
- Tokenizers 0.13.2
