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sd-geneprod-roles-v2

This model is a fine-tuned version of michiyasunaga/BioLinkBERT-large on the source_data_nlp 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
  • train_batch_size: 32
  • eval_batch_size: 256
  • seed: 42
  • optimizer: Adafactor
  • lr_scheduler_type: linear
  • num_epochs: 1.0

Training results

Training Loss Epoch Step Validation Loss Accuracy Score Precision Recall F1
0.014 1.0 1569 0.0136 0.9950 0.9228 0.9288 0.9258

Framework versions

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