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