| ---
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| library_name: transformers
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| tags:
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| - generated_from_trainer
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| metrics:
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| - precision
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| - recall
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| - f1
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| - accuracy
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| model-index:
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| - name: EXP_1_BINARY-dmis-lab-biobert-v1.1
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| results: []
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| ---
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|
|
| <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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| should probably proofread and complete it, then remove this comment. -->
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|
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| # EXP_1_BINARY-dmis-lab-biobert-v1.1
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|
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| This model was trained from scratch on an unknown dataset.
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| It achieves the following results on the evaluation set:
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| - Loss: 0.1974
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| - Precision: 0.8943
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| - Recall: 0.9235
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| - F1: 0.9087
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| - Accuracy: 0.9229
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|
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| ## Model description
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| More information needed
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|
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| ## Intended uses & limitations
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| More information needed
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|
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| ## Training and evaluation data
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| More information needed
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|
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| ## Training procedure
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|
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| ### Training hyperparameters
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| The following hyperparameters were used during training:
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| - learning_rate: 2e-05
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| - train_batch_size: 16
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| - eval_batch_size: 16
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| - seed: 42
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| - optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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| - lr_scheduler_type: linear
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| - num_epochs: 3
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|
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| ### Training results
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| | Training Loss | Epoch | Step | Accuracy | F1 | Validation Loss | Precision | Recall |
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| |:-------------:|:-----:|:----:|:--------:|:------:|:---------------:|:---------:|:------:|
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| | 0.2125 | 1.0 | 220 | 0.9204 | 0.9069 | 0.2056 | 0.8818 | 0.9335 |
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| | 0.2011 | 2.0 | 440 | 0.9223 | 0.9088 | 0.2003 | 0.8858 | 0.9331 |
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| | 0.1929 | 3.0 | 660 | 0.1974 | 0.8943 | 0.9235 | 0.9087 | 0.9229 |
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| ### Framework versions
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| - Transformers 4.57.1
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| - Pytorch 2.9.1+cu130
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| - Datasets 4.4.1
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| - Tokenizers 0.22.1
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| |
