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: 0.0071
Accuracy Score: 0.9981
Precision: 0.9540
Recall: 0.9651
F1: 0.9596

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: 1.0

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy Score	Precision	Recall	F1
0.0052	1.0	864	0.0071	0.9981	0.9540	0.9651	0.9596

Framework versions

Transformers 4.46.3
Pytorch 1.13.1+cu117
Datasets 3.1.0
Tokenizers 0.20.3

EMBO/SourceData_RolesMulti_v1_0_0_BioLinkBERT_base

SourceData_RolesMulti_v1_0_0_BioLinkBERT_base

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

EMBO/
SourceData_RolesMulti_v1_0_0_BioLinkBERT_base