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deberta-v3-large-finetuned-answer_relevance_judge_fever
leeminhduc2/deberta-v3-large-finetuned-answer_relevance_judge_fever
deberta-v3-large-finetuned-answer_relevance_judge_fever 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 12, 2025
- Updated
- Dec 12, 2025
- SHA
- 1098a944
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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-v3-large-finetuned-answer_relevance_judge_fever
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: 3.4862
- Model Preparation Time: 0.0056
- Accuracy: 0.4999
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 | 2.8899 | 0.0056 | 0.4999 |
| No log | 2.0 | 376 | 3.3420 | 0.0056 | 0.4999 |
| 0.1152 | 3.0 | 564 | 3.3884 | 0.0056 | 0.4999 |
| 0.1152 | 4.0 | 752 | 3.4862 | 0.0056 | 0.4999 |
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 12, 2025
- Updated
- Dec 12, 2025