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EMBO/sd-geneprod-roles-v2

sourceHugging Faceapache-2.0updated 4y agoView on Hugging Face
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sd-geneprod-roles-v2

This model is a fine-tuned version of michiyasunaga/BioLinkBERT-large on the sourcedatanlp dataset. It achieves the following results on the evaluation set:

  • Loss: 0.0136
  • Accuracy Score: 0.9950
  • Precision: 0.9228
  • Recall: 0.9288
  • F1: 0.9258

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: 32
  • evalbatchsize: 256
  • seed: 42
  • optimizer: Adafactor
  • lrschedulertype: linear
  • num_epochs: 1.0

Training results

Training LossEpochStepValidation LossAccuracy ScorePrecisionRecallF1
0.0141.015690.01360.99500.92280.92880.9258

Framework versions

  • Transformers 4.20.0
  • Pytorch 1.11.0a0+bfe5ad2
  • Datasets 1.17.0
  • Tokenizers 0.12.1