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deberta-v3-ielts-node-classifier-v3
MMQuan/deberta-v3-ielts-node-classifier-v3
deberta-v3-ielts-node-classifier-v3 is a text classification model from MMQuan. 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
- Apr 16, 2026
- Updated
- Apr 16, 2026
- SHA
- 8af1096e
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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-ielts-node-classifier-v3
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: 1.3429
- Accuracy: 0.5085
- F1 Macro: 0.1685
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: cosine
- lr_scheduler_warmup_steps: 0.1
- num_epochs: 6
- label_smoothing_factor: 0.05
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 Macro |
|---|---|---|---|---|---|
| 3.6869 | 0.6369 | 100 | 3.4232 | 0.1955 | 0.0818 |
| 1.4881 | 1.2739 | 200 | 1.5163 | 0.1966 | 0.0822 |
| 1.4256 | 1.9108 | 300 | 1.3756 | 0.1966 | 0.0822 |
| 1.3842 | 2.5478 | 400 | 1.3779 | 0.5085 | 0.1685 |
| 1.3608 | 3.1847 | 500 | 1.3413 | 0.5085 | 0.1685 |
| 1.3480 | 3.8217 | 600 | 1.3528 | 0.5085 | 0.1685 |
| 1.3431 | 4.4586 | 700 | 1.3453 | 0.5085 | 0.1685 |
| 1.3597 | 5.0955 | 800 | 1.3448 | 0.5085 | 0.1685 |
| 1.3451 | 5.7325 | 900 | 1.3430 | 0.5085 | 0.1685 |
| 1.3451 | 6.0 | 942 | 1.3429 | 0.5085 | 0.1685 |
Framework versions
- Transformers 5.5.4
- Pytorch 2.10.0+cu130
- Datasets 3.0.0
- Tokenizers 0.22.2
- Task
- Text Classification
- Library
- transformers
- Type
- deberta-v2
- License
- mit
- Created
- Apr 16, 2026
- Updated
- Apr 16, 2026