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erickrribeiro/paraphrase-bert-portuguese

sourceHugging Facemitupdated 3y agoView on Hugging Face
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Model Card

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paraphrase-bert-portuguese

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

  • Loss: 1.2267
  • Accuracy: 0.8676
  • F1: 0.9029

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
  • trainbatchsize: 8
  • evalbatchsize: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lrschedulertype: linear
  • num_epochs: 10

Training results

Training LossEpochStepValidation LossAccuracyF1
No log1.04590.72410.86030.9012
0.06582.09180.79020.87250.9071
0.14993.013770.78950.86760.9022
0.06544.018360.98410.86760.9036
0.0185.022951.05200.86270.8989
0.01446.027541.10020.87250.9081
0.0077.032131.13030.86520.9005
0.00568.036721.22980.87250.9081
0.00199.041311.23530.87010.9038
0.000110.045901.22670.86760.9029

Framework versions

  • Transformers 4.31.0
  • Pytorch 2.0.1+cu117
  • Datasets 2.14.4
  • Tokenizers 0.13.3