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deberta-v3-large-finetuned-answer_relevance_judge
leeminhduc2/deberta-v3-large-finetuned-answer_relevance_judge
deberta-v3-large-finetuned-answer_relevance_judge is a text classification model from leeminhduc2. 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 11, 2025
- Updated
- Dec 11, 2025
- SHA
- ccfa70ca
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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-v3-large-finetuned-answer_relevance_judge
This model is a fine-tuned version of microsoft/deberta-v3-large on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.5431
- Model Preparation Time: 0.0054
- Accuracy: 0.9131
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: 5e-06
- train_batch_size: 1
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 16
- 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
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Model Preparation Time | Accuracy |
|---|---|---|---|---|---|
| No log | 1.0 | 188 | 0.3312 | 0.0054 | 0.9219 |
| No log | 2.0 | 376 | 0.3864 | 0.0054 | 0.9164 |
| 0.133 | 3.0 | 564 | 0.3783 | 0.0054 | 0.9292 |
| 0.133 | 4.0 | 752 | 0.5731 | 0.0054 | 0.9072 |
| 0.133 | 5.0 | 940 | 0.5760 | 0.0054 | 0.9089 |
| 0.0146 | 6.0 | 1128 | 0.5431 | 0.0054 | 0.9131 |
Framework versions
- Transformers 4.57.3
- 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 11, 2025
- Updated
- Dec 11, 2025