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vesteinn/IceBERT-finetuned-iec-sentence-bs16

sourceHugging Facegpl-3.0updated 2y agoView on Hugging Face
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Model Card

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IceBERT-finetuned-iec-sentence-bs16

This model is a fine-tuned version of vesteinn/IceBERT on an unknown dataset. It achieves the following results on the evaluation set:

  • —Loss: 0.2508
  • —Matthews Correlation: 0.8169

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: 16
  • —evalbatchsize: 16
  • —seed: 42
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: linear
  • —num_epochs: 5

Training results

Training LossEpochStepValidation LossMatthews Correlation
0.52781.036400.47770.5396
0.46482.072800.38860.6437
0.38073.0109200.34780.7060
0.30614.0145600.25230.8083
0.24775.0182000.25080.8169

Framework versions

  • —Transformers 4.12.3
  • —Pytorch 1.8.0
  • —Datasets 1.15.1
  • —Tokenizers 0.10.3