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vesteinn/IceBERT-finetuned-iec-sentence

sourceHugging Facegpl-3.0updated 3y agoView on Hugging Face
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Model Card

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IceBERT-finetuned-iec-sentence

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

  • —Loss: 0.4438
  • —Matthews Correlation: 0.6062

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: 128
  • —evalbatchsize: 128
  • —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
No log1.04550.52830.4755
0.56962.09100.48890.5272
0.48983.013650.45080.5793
0.45084.018200.43400.6042
0.41535.022750.44380.6062

Framework versions

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