bertimbau-base-lener_br

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bertimbau-base-lener_br

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

• Loss: 0.2298
• Precision: 0.8501
• Recall: 0.9138
• F1: 0.8808
• Accuracy: 0.9693

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: 4
• eval_batch_size: 4
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 15

Training results

Framework versions

• Transformers 4.8.2
• Pytorch 1.9.0+cu102
• Datasets 1.9.0
• Tokenizers 0.10.3