SourceData_GENEPROD-ROLES_v_2-0-2_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: 0.0136
• Accuracy Score: 0.9952
• Precision: 0.9247
• Recall: 0.9319
• F1: 0.9283

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
0.0154	1.0	942	0.0136	0.9952	0.9247	0.9319	0.9283

Framework versions

• Transformers 4.20.1
• Pytorch 1.11.0a0+bfe5ad2
• Datasets 2.10.1
• Tokenizers 0.12.1