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sentinel-biobert-triage
Shreevatsa01/sentinel-biobert-triage
sentinel-biobert-triage is a text classification model from Shreevatsa01. 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
- bert
- Access
- Public
- Created
- Jan 27, 2026
- Updated
- Jan 27, 2026
- SHA
- 47eaaafb
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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. -->
sentinel-biobert-triage
This model is a fine-tuned version of dmis-lab/biobert-v1.1 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.2133
- Accuracy: 0.9583
- F1: 0.9287
- Precision: 0.9140
- Recall: 0.9438
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: 16
- eval_batch_size: 16
- 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: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
|---|---|---|---|---|---|---|---|
| 0.2163 | 1.0 | 882 | 0.1343 | 0.9575 | 0.9280 | 0.9045 | 0.9527 |
| 0.0812 | 2.0 | 1764 | 0.1716 | 0.9544 | 0.9223 | 0.9027 | 0.9428 |
| 0.031 | 3.0 | 2646 | 0.2133 | 0.9583 | 0.9287 | 0.9140 | 0.9438 |
Framework versions
- Transformers 4.57.6
- Pytorch 2.9.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.2
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- Created
- Jan 27, 2026
- Updated
- Jan 27, 2026