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deberta_qqp
Fetis789/deberta_qqp
deberta_qqp is a text classification model from Fetis789. 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
- Sep 8, 2026
- Updated
- Sep 8, 2026
- SHA
- 6fe3c46e
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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. -->
shad_qpp_week_4_model
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: 0.2422
- Model Preparation Time: 0.0033
- Accuracy: 0.9230
- Precision: 0.8817
- Recall: 0.9135
- F1: 0.8973
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: 32
- 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
- lr_scheduler_warmup_steps: 3400
- num_epochs: 3
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Model Preparation Time | Accuracy | Precision | Recall | F1 |
|---|---|---|---|---|---|---|---|---|
| 0.3286 | 0.4397 | 5000 | 0.2468 | 0.0033 | 0.8953 | 0.8611 | 0.8533 | 0.8572 |
| 0.2439 | 0.8794 | 10000 | 0.2343 | 0.0033 | 0.9021 | 0.8307 | 0.9220 | 0.8739 |
| 0.1938 | 1.3191 | 15000 | 0.2153 | 0.0033 | 0.9134 | 0.8738 | 0.8937 | 0.8837 |
| 0.1749 | 1.7589 | 20000 | 0.2150 | 0.0033 | 0.9181 | 0.8828 | 0.8966 | 0.8896 |
| 0.1503 | 2.1986 | 25000 | 0.2329 | 0.0033 | 0.9202 | 0.8896 | 0.8943 | 0.8919 |
| 0.1225 | 2.6383 | 30000 | 0.2293 | 0.0033 | 0.9221 | 0.8789 | 0.9145 | 0.8963 |
| 0.1225 | 3.0 | 34113 | 0.2422 | 0.0033 | 0.9230 | 0.8817 | 0.9135 | 0.8973 |
Framework versions
- Transformers 5.16.1
- Pytorch 2.11.0+cu128
- Datasets 5.0.1
- Tokenizers 0.23.1
- Task
- Text Classification
- Library
- transformers
- Type
- deberta-v2
- License
- mit
- Created
- Sep 8, 2026
- Updated
- Sep 8, 2026