metadata
library_name: transformers
license: mit
base_model: emilyalsentzer/Bio_ClinicalBERT
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: clinicalbert-medical-doc-classifier
results: []
clinicalbert-medical-doc-classifier
This model is a fine-tuned version of emilyalsentzer/Bio_ClinicalBERT on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0252
- Accuracy: 0.9953
- F1: 0.9948
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: 2e-05
- train_batch_size: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| 0.1238 | 0.1582 | 100 | 0.1158 | 0.9757 | 0.9679 |
| 0.0966 | 0.3165 | 200 | 0.0470 | 0.9924 | 0.9912 |
| 0.0269 | 0.4747 | 300 | 0.0364 | 0.9942 | 0.9931 |
| 0.0178 | 0.6329 | 400 | 0.0336 | 0.9947 | 0.9935 |
| 0.0428 | 0.7911 | 500 | 0.0327 | 0.9940 | 0.9933 |
| 0.0062 | 0.9494 | 600 | 0.0296 | 0.9949 | 0.9937 |
| 0.0370 | 1.1076 | 700 | 0.0262 | 0.9947 | 0.9935 |
| 0.0201 | 1.2658 | 800 | 0.0279 | 0.9947 | 0.9935 |
| 0.0231 | 1.4241 | 900 | 0.0252 | 0.9953 | 0.9948 |
| 0.0193 | 1.5823 | 1000 | 0.0249 | 0.9953 | 0.9942 |
| 0.0189 | 1.7405 | 1100 | 0.0263 | 0.9951 | 0.9941 |
| 0.0201 | 1.8987 | 1200 | 0.0256 | 0.9953 | 0.9947 |
Framework versions
- Transformers 5.4.0
- Pytorch 2.11.0+cu130
- Datasets 4.8.4
- Tokenizers 0.22.2