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3_BiasDetctor_HTW_ANG.KI
Ghazi-nak/3_BiasDetctor_HTW_ANG.KI
3_BiasDetctor_HTW_ANG.KI is a text classification model from Ghazi-nak. 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
- roberta
- Access
- Public
- Created
- Apr 29, 2025
- Updated
- Apr 29, 2025
- SHA
- 648c0172
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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. -->
3_BiasDetctor_HTW_ANG.KI
This model is a fine-tuned version of roberta-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.4339
- Accuracy: 0.8684
- F1: 0.8691
- Precision: 0.8724
- Recall: 0.8684
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: 8
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- 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
- lr_scheduler_warmup_steps: 50
- num_epochs: 6
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
|---|---|---|---|---|---|---|---|
| 0.7436 | 0.2 | 250 | 0.5765 | 0.7876 | 0.7895 | 0.8049 | 0.7876 |
| 0.5131 | 0.4 | 500 | 0.5460 | 0.8032 | 0.8079 | 0.8385 | 0.8032 |
| 0.5373 | 0.6 | 750 | 0.4884 | 0.8344 | 0.8362 | 0.8534 | 0.8344 |
| 0.4579 | 0.8 | 1000 | 0.4229 | 0.8544 | 0.8554 | 0.8572 | 0.8544 |
| 0.407 | 1.0 | 1250 | 0.3797 | 0.8694 | 0.8703 | 0.8751 | 0.8694 |
| 0.2961 | 1.2 | 1500 | 0.4004 | 0.8708 | 0.8721 | 0.8761 | 0.8708 |
| 0.3198 | 1.4 | 1750 | 0.4015 | 0.8664 | 0.8672 | 0.8740 | 0.8664 |
| 0.2926 | 1.6 | 2000 | 0.4339 | 0.8684 | 0.8691 | 0.8724 | 0.8684 |
Framework versions
- Transformers 4.51.3
- Pytorch 2.7.0+cu126
- Datasets 3.5.1
- Tokenizers 0.21.1
- Task
- Text Classification
- Library
- transformers
- Type
- roberta
- Created
- Apr 29, 2025
- Updated
- Apr 29, 2025