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gaslighting-detector-binary-finetuned-xlm-roberta-base
Tokyosaurus/gaslighting-detector-binary-finetuned-xlm-roberta-base
gaslighting-detector-binary-finetuned-xlm-roberta-base 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 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
- xlm-roberta
- Access
- Public
- Created
- Jan 27, 2026
- Updated
- Jan 27, 2026
- SHA
- 5ea3c50c
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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-xlm-roberta-base
This model is a fine-tuned version of xlm-roberta-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.4891
- Accuracy: 0.8889
- F1: 0.8958
- Precision: 0.8431
- 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 |
|---|---|---|---|---|---|---|---|
| 0.6854 | 1.0 | 27 | 0.5358 | 0.7444 | 0.7089 | 0.8235 | 0.6222 |
| 0.2990 | 2.0 | 54 | 0.4280 | 0.8222 | 0.8049 | 0.8919 | 0.7333 |
| 0.1506 | 3.0 | 81 | 0.4508 | 0.8444 | 0.8333 | 0.8974 | 0.7778 |
| 0.2349 | 4.0 | 108 | 0.5342 | 0.8444 | 0.8333 | 0.8974 | 0.7778 |
| 0.1119 | 5.0 | 135 | 0.3236 | 0.9222 | 0.9247 | 0.8958 | 0.9556 |
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
- xlm-roberta
- License
- mit
- Created
- Jan 27, 2026
- Updated
- Jan 27, 2026