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sentinel-v3-final
Shreevatsa01/sentinel-v3-final
sentinel-v3-final is a token classification model from Shreevatsa01. Use it when you need labels on individual words, such as names. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Token Classification
- Library
- transformers
- Model type
- bert
- Access
- Public
- Created
- Jan 30, 2026
- Updated
- Jan 30, 2026
- SHA
- 321d73dd
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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-v3-final
This model is a fine-tuned version of Shreevatsa01/sentinel-biobert-reddit-v2 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.1851
- F1: 0.7578
- Precision: 0.7393
- Recall: 0.7772
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: 4
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 | Precision | Recall |
|---|---|---|---|---|---|---|
| 0.1561 | 1.0 | 355 | 0.1617 | 0.7402 | 0.0 | 0.0 |
| 0.1233 | 2.0 | 710 | 0.1653 | 0.7456 | 0.0 | 0.0 |
| 0.097 | 3.0 | 1065 | 0.1851 | 0.7578 | 0.0 | 0.0 |
| 0.081 | 4.0 | 1420 | 0.2004 | 0.7496 | 0.0 | 0.0 |
Framework versions
- Transformers 4.57.6
- Pytorch 2.9.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.2
- Task
- Token Classification
- Library
- transformers
- Type
- bert
- Created
- Jan 30, 2026
- Updated
- Jan 30, 2026