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my-symptom-checker-biobert
Iloriayomide/my-symptom-checker-biobert
my-symptom-checker-biobert is a text classification model from Iloriayomide. 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
- Nov 20, 2025
- Updated
- Jan 16, 2026
- SHA
- 664b84d9
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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. -->
my-symptom-checker-biobert
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: 0.1376
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: 32
- eval_batch_size: 32
- 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: 20
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 30 | 2.9013 |
| No log | 2.0 | 60 | 2.4887 |
| No log | 3.0 | 90 | 2.0553 |
| No log | 4.0 | 120 | 1.6494 |
| No log | 5.0 | 150 | 1.3190 |
| No log | 6.0 | 180 | 1.0499 |
| No log | 7.0 | 210 | 0.8211 |
| No log | 8.0 | 240 | 0.6230 |
| No log | 9.0 | 270 | 0.4702 |
| No log | 10.0 | 300 | 0.3656 |
| No log | 11.0 | 330 | 0.2884 |
| No log | 12.0 | 360 | 0.2331 |
| No log | 13.0 | 390 | 0.1986 |
| No log | 14.0 | 420 | 0.1808 |
| No log | 15.0 | 450 | 0.1630 |
| No log | 16.0 | 480 | 0.1546 |
| 0.9873 | 17.0 | 510 | 0.1469 |
| 0.9873 | 18.0 | 540 | 0.1409 |
| 0.9873 | 19.0 | 570 | 0.1378 |
| 0.9873 | 20.0 | 600 | 0.1376 |
Framework versions
- Transformers 4.57.1
- Pytorch 2.9.1+cu128
- Datasets 4.4.1
- Tokenizers 0.22.1
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- License
- mit
- Created
- Nov 20, 2025
- Updated
- Jan 16, 2026