| tags: | |
| - generated_from_trainer | |
| metrics: | |
| - precision | |
| - recall | |
| - f1 | |
| model-index: | |
| - name: biobert-v1.1-BC2GM-IOBES | |
| results: [] | |
| <!-- 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. --> | |
| # biobert-v1.1-BC2GM-IOBES | |
| This model was trained from scratch on the None dataset. | |
| It achieves the following results on the evaluation set: | |
| - Loss: 0.2095 | |
| - Precision: 0.4505 | |
| - Recall: 0.4762 | |
| - F1: 0.4630 | |
| ## 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: 16 | |
| - eval_batch_size: 16 | |
| - seed: 42 | |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
| - lr_scheduler_type: linear | |
| - num_epochs: 3 | |
| ### Training results | |
| | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | | |
| |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:| | |
| | 0.1812 | 1.0 | 2 | 0.2149 | 0.4706 | 0.4571 | 0.4638 | | |
| | 0.1812 | 2.0 | 4 | 0.2109 | 0.4519 | 0.4476 | 0.4498 | | |
| | 0.1812 | 3.0 | 6 | 0.2095 | 0.4505 | 0.4762 | 0.4630 | | |
| ### Framework versions | |
| - Transformers 4.28.1 | |
| - Pytorch 2.3.1+cu121 | |
| - Datasets 2.19.1 | |
| - Tokenizers 0.13.3 | |