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---
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 |
### Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
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