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clinicalbert-medical-doc-oversampled-headtail
ParamDev/clinicalbert-medical-doc-oversampled-headtail
clinicalbert-medical-doc-oversampled-headtail is a text classification model from ParamDev. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- mit
- Model type
- bert
- Access
- Public
- Created
- Mar 28, 2026
- Updated
- Mar 28, 2026
- SHA
- a32db53c
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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. -->
clinicalbert-medical-doc-oversampled-headtail
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: 0.0586
- F1: 0.9973
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: 5e-05
- train_batch_size: 64
- eval_batch_size: 8
- 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 | F1 |
|---|---|---|---|---|
| 0.2504 | 1.0 | 668 | 0.0424 | 0.9970 |
| 0.0256 | 2.0 | 1336 | 0.0330 | 0.9976 |
| 0.0087 | 3.0 | 2004 | 0.0548 | 0.9973 |
| 0.0008 | 4.0 | 2672 | 0.0586 | 0.9973 |
Framework versions
- Transformers 5.4.0
- Pytorch 2.11.0+cu130
- Datasets 4.8.4
- Tokenizers 0.22.2
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- License
- mit
- Created
- Mar 28, 2026
- Updated
- Mar 28, 2026