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deberta-auto-grading
nguyennghia0902/deberta-auto-grading
deberta-auto-grading is a text classification model from nguyennghia0902. 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
- May 2, 2026
- Updated
- May 2, 2026
- SHA
- 64b2e86a
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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. -->
deberta-auto-grading
This model is a fine-tuned version of microsoft/deberta-v3-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.4526
- Accuracy: 0.8205
- F1 Macro: 0.8005
- F1 Incorrect: 0.8267
- F1 Partial: 0.6995
- F1 Correct: 0.8753
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: 32
- eval_batch_size: 64
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 64
- 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
- lr_scheduler_warmup_steps: 0.1
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 Macro | F1 Incorrect | F1 Partial | F1 Correct |
|---|---|---|---|---|---|---|---|---|
| 1.7184 | 1.0 | 354 | 0.5803 | 0.7485 | 0.7210 | 0.6997 | 0.6398 | 0.8235 |
| 1.0207 | 2.0 | 708 | 0.4883 | 0.7802 | 0.7586 | 0.75 | 0.6778 | 0.8481 |
| 0.7490 | 3.0 | 1062 | 0.4664 | 0.8125 | 0.7928 | 0.7887 | 0.7178 | 0.8719 |
| 0.5996 | 4.0 | 1416 | 0.4734 | 0.8060 | 0.7887 | 0.7870 | 0.7150 | 0.8641 |
| 0.5094 | 5.0 | 1770 | 0.5118 | 0.8085 | 0.7904 | 0.7915 | 0.7127 | 0.8670 |
Framework versions
- Transformers 5.0.0
- Pytorch 2.10.0+cu128
- Datasets 4.8.3
- Tokenizers 0.22.2
- Task
- Text Classification
- Library
- transformers
- Type
- deberta-v2
- License
- mit
- Created
- May 2, 2026
- Updated
- May 2, 2026