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SourceData_GENEPROD-ROLES_v_1-0-2_BioLinkBERT_large

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

  • Loss: 0.0128
  • Accuracy Score: 0.9955
  • Precision: 0.9318
  • Recall: 0.9367
  • F1: 0.9343

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: 1e-05
  • train_batch_size: 32
  • eval_batch_size: 256
  • seed: 42
  • gradient_accumulation_steps: 2
  • total_train_batch_size: 64
  • optimizer: Adafactor
  • lr_scheduler_type: linear
  • num_epochs: 1.0

Training results

Training Loss Epoch Step Validation Loss Accuracy Score Precision Recall F1
0.0147 1.0 942 0.0128 0.9955 0.9318 0.9367 0.9343

Framework versions

  • Transformers 4.20.1
  • Pytorch 1.11.0a0+bfe5ad2
  • Datasets 2.10.1
  • Tokenizers 0.12.1
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Dataset used to train EMBO/SourceData_GENEPROD-ROLES_v_1-0-2_BioLinkBERT_large

Evaluation results