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burmese-nli-model-v2
Raayar/burmese-nli-model-v2
burmese-nli-model-v2 is a text classification model from Raayar. 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
- Feb 5, 2026
- Updated
- Feb 5, 2026
- SHA
- 44afeec8
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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. -->
burmese-nli-model-v2
This model is a fine-tuned version of microsoft/mdeberta-v3-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.6771
- Accuracy: 0.7363
- F1: 0.7284
- Precision: 0.7289
- Recall: 0.7284
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: 1e-05
- train_batch_size: 16
- eval_batch_size: 16
- 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
- num_epochs: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
|---|---|---|---|---|---|---|---|
| 0.8489 | 1.0 | 417 | 0.8670 | 0.6216 | 0.5656 | 0.6522 | 0.5859 |
| 0.6407 | 2.0 | 834 | 0.7408 | 0.6858 | 0.6693 | 0.6868 | 0.6654 |
| 0.6016 | 3.0 | 1251 | 0.6894 | 0.7240 | 0.7094 | 0.7170 | 0.7077 |
| 0.5818 | 4.0 | 1668 | 0.6852 | 0.7370 | 0.7295 | 0.7291 | 0.7311 |
| 0.5174 | 5.0 | 2085 | 0.6771 | 0.7363 | 0.7284 | 0.7289 | 0.7284 |
Framework versions
- Transformers 5.0.0
- Pytorch 2.9.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.2
- Task
- Text Classification
- Library
- transformers
- Type
- deberta-v2
- License
- mit
- Created
- Feb 5, 2026
- Updated
- Feb 5, 2026