| license: apache-2.0 | |
| tags: | |
| - generated_from_trainer | |
| datasets: | |
| - source_data_nlp | |
| metrics: | |
| - precision | |
| - recall | |
| - f1 | |
| model-index: | |
| - name: sd-geneprod-roles-v2 | |
| results: | |
| - task: | |
| name: Token Classification | |
| type: token-classification | |
| dataset: | |
| name: source_data_nlp | |
| type: source_data_nlp | |
| args: GENEPROD_ROLES | |
| metrics: | |
| - name: Precision | |
| type: precision | |
| value: 0.9227577212638568 | |
| - name: Recall | |
| type: recall | |
| value: 0.9288143683990692 | |
| - name: F1 | |
| type: f1 | |
| value: 0.9257761389318425 | |
| <!-- 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. --> | |
| # sd-geneprod-roles-v2 | |
| This model is a fine-tuned version of [michiyasunaga/BioLinkBERT-large](https://huggingface.co/michiyasunaga/BioLinkBERT-large) on the source_data_nlp dataset. | |
| It achieves the following results on the evaluation set: | |
| - Loss: 0.0136 | |
| - Accuracy Score: 0.9950 | |
| - Precision: 0.9228 | |
| - Recall: 0.9288 | |
| - F1: 0.9258 | |
| ## 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: 5e-05 | |
| - train_batch_size: 32 | |
| - eval_batch_size: 256 | |
| - seed: 42 | |
| - optimizer: Adafactor | |
| - lr_scheduler_type: linear | |
| - num_epochs: 1.0 | |
| ### Training results | |
| | Training Loss | Epoch | Step | Validation Loss | Accuracy Score | Precision | Recall | F1 | | |
| |:-------------:|:-----:|:----:|:---------------:|:--------------:|:---------:|:------:|:------:| | |
| | 0.014 | 1.0 | 1569 | 0.0136 | 0.9950 | 0.9228 | 0.9288 | 0.9258 | | |
| ### Framework versions | |
| - Transformers 4.20.0 | |
| - Pytorch 1.11.0a0+bfe5ad2 | |
| - Datasets 1.17.0 | |
| - Tokenizers 0.12.1 | |