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clinicalBERT-section-classification-v1
NazzX1/clinicalBERT-section-classification-v1
clinicalBERT-section-classification-v1 is a text classification model from NazzX1. Use it when you need a label for a piece of text. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- distilbert
- Access
- Public
- Created
- Apr 23, 2025
- Updated
- Apr 23, 2025
- SHA
- 2503ef70
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Base models
Model card
From the Hugging Face model README
<!-- 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. -->
section-classification
This model is a fine-tuned version of medicalai/ClinicalBERT on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.2353
- Accuracy: 0.7392
- Precision: 0.6439
- Recall: 0.7392
- F1: 0.6845
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: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 4
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
|---|---|---|---|---|---|---|---|
| No log | 1.0 | 434 | 1.2791 | 0.6882 | 0.6056 | 0.6882 | 0.6399 |
| 1.3149 | 2.0 | 868 | 1.2669 | 0.7204 | 0.6216 | 0.7204 | 0.6674 |
| 1.2335 | 3.0 | 1302 | 1.2441 | 0.7419 | 0.6477 | 0.7419 | 0.6869 |
| 1.2607 | 4.0 | 1736 | 1.2353 | 0.7392 | 0.6439 | 0.7392 | 0.6845 |
Framework versions
- Transformers 4.51.3
- Pytorch 2.6.0+cu124
- Tokenizers 0.21.1
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- Created
- Apr 23, 2025
- Updated
- Apr 23, 2025