| --- |
| license: cc0-1.0 |
| base_model: bionlp/bluebert_pubmed_uncased_L-12_H-768_A-12 |
| tags: |
| - generated_from_trainer |
| metrics: |
| - accuracy |
| - precision |
| - recall |
| - f1 |
| model-index: |
| - name: NHS-bluebert-binary-random |
| 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. --> |
|
|
| # NHS-bluebert-binary-random |
|
|
| This model is a fine-tuned version of [bionlp/bluebert_pubmed_uncased_L-12_H-768_A-12](https://huggingface.co/bionlp/bluebert_pubmed_uncased_L-12_H-768_A-12) on the None dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.5886 |
| - Accuracy: 0.8126 |
| - Precision: 0.8063 |
| - Recall: 0.8047 |
| - F1: 0.8055 |
|
|
| ## 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: 3e-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: 6 |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 | |
| |:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:| |
| | 0.0522 | 1.0 | 397 | 0.4105 | 0.8114 | 0.8044 | 0.8094 | 0.8064 | |
| | 0.0734 | 2.0 | 794 | 0.4493 | 0.7918 | 0.7894 | 0.7994 | 0.7894 | |
| | 1.3945 | 3.0 | 1191 | 0.5886 | 0.8126 | 0.8063 | 0.8047 | 0.8055 | |
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|
| ### Framework versions |
|
|
| - Transformers 4.38.2 |
| - Pytorch 2.2.1+cu121 |
| - Datasets 2.18.0 |
| - Tokenizers 0.15.2 |
|
|
