| --- |
| library_name: transformers |
| license: apache-2.0 |
| base_model: michiyasunaga/BioLinkBERT-base |
| tags: |
| - generated_from_trainer |
| datasets: |
| - source_data |
| metrics: |
| - precision |
| - recall |
| - f1 |
| model-index: |
| - name: SourceData_NER_v1_0_0_BioLinkBERT_base |
| results: |
| - task: |
| name: Token Classification |
| type: token-classification |
| dataset: |
| name: source_data |
| type: source_data |
| config: NER |
| split: validation |
| args: NER |
| metrics: |
| - name: Precision |
| type: precision |
| value: 0.8158665922411387 |
| - name: Recall |
| type: recall |
| value: 0.8538277302333732 |
| - name: F1 |
| type: f1 |
| value: 0.8344156307534217 |
| --- |
| |
| <!-- This model card has been generated automatically according to the information the Trainer had access to. You |
| should probably proofread and complete it, then remove this comment. --> |
|
|
| # SourceData_NER_v1_0_0_BioLinkBERT_base |
|
|
| This model is a fine-tuned version of [michiyasunaga/BioLinkBERT-base](https://huggingface.co/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 |
| |
