SourceData_GP-CHEM-ROLES_v_1-0-2_BioLinkBERT_large
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: 0.0055
- Accuracy Score: 0.9985
- Precision: 0.9730
- Recall: 0.9790
- F1: 0.9760
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: 1.5e-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 |
|---|---|---|---|---|---|---|---|
| 0.0097 | 1.0 | 942 | 0.0055 | 0.9985 | 0.9730 | 0.9790 | 0.9760 |
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_GP-CHEM-ROLES_v_1-0-2_BioLinkBERT_large
Evaluation results
- Precision on source_dataself-reported0.973
- Recall on source_dataself-reported0.979
- F1 on source_dataself-reported0.976