SourceData NER v1 0 0 BioLinkBERT base This model is a fine tuned version of michiyasunaga/BioLinkBERT base on the source data dataset. It achieves the following results on the evaluation set: Loss: 0.1369 Accuracy Score: 0.9565 Precision: 0.8159 Recall: 0.8538 F1: 0.8344 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: 0.0001 train batch size: 64 eval batch size: 128 seed: 42 optimizer: Use adafactor and the args are: No additional optimizer arguments lr scheduler type: linear num epochs: 2.0 Training results Training Loss Epoch Step Validation Loss Accuracy Score Precision Recall F1 : : : : : : : : : : : : : : : : 0.1138 1.0 864 0.1357 0.9535 0.8185 0.8297 0.8241 0.0807 2.0 1728 0.1369 0.9565 0.8159 0.8538 0.8344 Framework versions Transformers 4.46.3 Pytorch 1.13.1+cu117 Datasets 3.1.0 Tokenizers 0.20.3
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