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truthlens-binary-model-v2
Sree6464/truthlens-binary-model-v2
truthlens-binary-model-v2 is a text classification model from Sree6464. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- bert
- Access
- Public
- Created
- Sep 10, 2026
- Updated
- Sep 13, 2026
- SHA
- d547a337
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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. -->
truthlens-binary-model-v2
This model is a fine-tuned version of bert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.9317
- Accuracy: 0.7841
- Precision: 0.7390
- Recall: 0.7572
- F1: 0.7480
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: 6
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
|---|---|---|---|---|---|---|---|
| 0.4201 | 1.0 | 1149 | 0.4247 | 0.7653 | 0.6636 | 0.9033 | 0.7651 |
| 0.3458 | 2.0 | 2298 | 0.4245 | 0.7867 | 0.7088 | 0.8416 | 0.7695 |
| 0.3109 | 3.0 | 3447 | 0.4935 | 0.7971 | 0.7334 | 0.8179 | 0.7733 |
| 0.2420 | 4.0 | 4596 | 0.6521 | 0.7701 | 0.6785 | 0.8683 | 0.7617 |
| 0.1689 | 5.0 | 5745 | 0.9317 | 0.7841 | 0.7390 | 0.7572 | 0.7480 |
Framework versions
- Transformers 5.16.1
- Pytorch 2.11.0+cu128
- Datasets 4.8.5
- Tokenizers 0.23.1
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Created
- Sep 10, 2026
- Updated
- Sep 13, 2026