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gaslighting-detector-binary-finetuned-bert-base-multilingual-uncased
Tokyosaurus/gaslighting-detector-binary-finetuned-bert-base-multilingual-uncased
gaslighting-detector-binary-finetuned-bert-base-multilingual-uncased is a text classification model from Tokyosaurus. 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
- Jan 27, 2026
- Updated
- Jan 27, 2026
- SHA
- ee2616d0
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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. -->
gaslighting-detector-binary-finetuned-bert-base-multilingual-uncased
This model is a fine-tuned version of bert-base-multilingual-uncased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.4631
- Accuracy: 0.9
- F1: 0.9053
- Precision: 0.86
- Recall: 0.9556
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 with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
|---|---|---|---|---|---|---|---|
| 0.3491 | 1.0 | 27 | 0.3551 | 0.8778 | 0.8817 | 0.8542 | 0.9111 |
| 0.2115 | 2.0 | 54 | 0.2096 | 0.9333 | 0.9348 | 0.9149 | 0.9556 |
| 0.0866 | 3.0 | 81 | 0.2388 | 0.9222 | 0.9278 | 0.8654 | 1.0 |
| 0.0900 | 4.0 | 108 | 0.2546 | 0.9444 | 0.9451 | 0.9348 | 0.9556 |
| 0.0076 | 5.0 | 135 | 0.2286 | 0.9444 | 0.9462 | 0.9167 | 0.9778 |
Framework versions
- Transformers 5.0.0
- Pytorch 2.7.1+cu118
- Datasets 4.5.0
- Tokenizers 0.22.2
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Created
- Jan 27, 2026
- Updated
- Jan 27, 2026