This model is a fine-tuned version of neuralmind/bert-large-portuguese-cased on the hate_speech_portuguese dataset. It achieves the following results on the evaluation set:

Loss: 0.5009
Accuracy: 0.7814

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: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 2

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	1.0	302	0.4593	0.7756
0.4361	2.0	604	0.5009	0.7814

Framework versions

Transformers 4.31.0
Pytorch 2.1.0.dev20230816+cu121
Datasets 2.14.4
Tokenizers 0.13.3

Nelci/bertimbau_hate_speech

bertimbau_hate_speech

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

Nelci/
bertimbau_hate_speech