modelo-pesos / README.md
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fine-tuned-bertimbau-for-law-weighted
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metadata
library_name: transformers
license: mit
base_model: neuralmind/bert-large-portuguese-cased
tags:
  - generated_from_trainer
metrics:
  - accuracy
model-index:
  - name: modelo-pesos
    results: []

modelo-pesos

This model is a fine-tuned version of neuralmind/bert-large-portuguese-cased on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.2405
  • Accuracy: 0.9170

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: 5e-06
  • train_batch_size: 8
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 1

Training results

Training Loss Epoch Step Validation Loss Accuracy
0.2599 1.0 9454 0.2405 0.9170

Framework versions

  • Transformers 4.44.2
  • Pytorch 2.4.1+cu121
  • Datasets 3.0.0
  • Tokenizers 0.19.1