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DeBertaStoryOnly
aayush7511/DeBertaStoryOnly
DeBertaStoryOnly is a text classification model from aayush7511. 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
- deberta-v2
- Access
- Public
- Created
- Dec 2, 2025
- Updated
- Dec 2, 2025
- SHA
- 157f9842
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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. -->
DeBertaStoryOnly
This model is a fine-tuned version of microsoft/deberta-v3-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.6504
- Accuracy: 0.484
- Precision: 0.32
- Recall: 0.846
- Auc: 0.653
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: 1e-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: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | Auc |
|---|---|---|---|---|---|---|---|
| 0.7008 | 1.0 | 289 | 0.6600 | 0.416 | 0.303 | 0.925 | 0.645 |
| 0.6727 | 2.0 | 578 | 0.6590 | 0.402 | 0.298 | 0.934 | 0.646 |
| 0.6741 | 3.0 | 867 | 0.6544 | 0.483 | 0.32 | 0.849 | 0.648 |
| 0.6728 | 4.0 | 1156 | 0.6532 | 0.465 | 0.316 | 0.875 | 0.648 |
| 0.6702 | 5.0 | 1445 | 0.6518 | 0.476 | 0.318 | 0.856 | 0.65 |
| 0.67 | 6.0 | 1734 | 0.6514 | 0.476 | 0.318 | 0.856 | 0.651 |
| 0.6694 | 7.0 | 2023 | 0.6512 | 0.492 | 0.323 | 0.843 | 0.653 |
| 0.6706 | 8.0 | 2312 | 0.6507 | 0.485 | 0.32 | 0.846 | 0.653 |
| 0.6709 | 9.0 | 2601 | 0.6504 | 0.484 | 0.32 | 0.846 | 0.653 |
| 0.6685 | 10.0 | 2890 | 0.6504 | 0.484 | 0.32 | 0.846 | 0.653 |
Framework versions
- Transformers 4.57.2
- Pytorch 2.9.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.1
- Task
- Text Classification
- Library
- transformers
- Type
- deberta-v2
- License
- mit
- Created
- Dec 2, 2025
- Updated
- Dec 2, 2025