metadata
license: mit
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: ft_clinical_bert_diabetes
results: []
ft_clinical_bert_diabetes
This model is a fine-tuned version of emilyalsentzer/Bio_ClinicalBERT on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.1020
- Accuracy: 0.9632
- F1: 0.9578
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: 5
- eval_batch_size: 5
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| 0.1641 | 1.0 | 1064 | 0.1604 | 0.9526 | 0.9462 |
| 0.1088 | 2.0 | 2128 | 0.0878 | 0.9623 | 0.9573 |
| 0.0956 | 3.0 | 3192 | 0.0963 | 0.9632 | 0.9578 |
| 0.0858 | 4.0 | 4256 | 0.1020 | 0.9632 | 0.9578 |
Framework versions
- Transformers 4.21.1
- Pytorch 1.12.1+cu113
- Datasets 2.4.0
- Tokenizers 0.12.1