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ciriatico/dodfminer_lite-classification_bertimbau

sourceHugging Facemitupdated 2y agoView on Hugging Face
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bertportugueseclassification

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

  • Loss: 0.0242
  • F1: 0.9967

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-05
  • trainbatchsize: 5
  • evalbatchsize: 5
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lrschedulertype: linear
  • num_epochs: 5

Training results

Training LossEpochStepF1Validation Loss
0.07491.09520.97460.0969
0.00112.019040.99490.0317
0.00053.028560.99750.0200
0.00034.038080.01990.9967
0.00015.047600.02420.9967

Framework versions

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