congretimbau3
This model is a fine-tuned version of BERTimbau on a dataset with bill of Brazilian law proposals. It achieves the following results on the evaluation set:
- eval_loss: 0.4885
- eval_runtime: 798.5704
- eval_samples_per_second: 169.279
- eval_steps_per_second: 1.324
- epoch: 2.3669
- step: 10000
Model description
The model is used to classify law bills into one of the following categories:
- Violência contra a mulher
- Direitos sociais
- Maternidade
- Direitos sexuais e reprodutivos
- Dignidade sexual
- Economia
- Gênero
- Política
- Feminicídio
Intended uses & limitations
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 3e-05
- train_batch_size: 128
- eval_batch_size: 128
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 300
- num_epochs: 10
Framework versions
- Transformers 4.45.1
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.20.0
- Downloads last month
- 0
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social
visibility and check back later, or deploy to Inference Endpoints (dedicated)
instead.