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nepali-grammar-error-detection-20250311_1323
rishikeshgautam/nepali-grammar-error-detection-20250311_1323
nepali-grammar-error-detection-20250311_1323 is a text classification model from rishikeshgautam. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- bert
- Access
- Public
- Created
- Mar 11, 2025
- Updated
- Mar 11, 2025
- SHA
- 33e0c2be
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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. -->
nepali-grammar-error-detection-20250311_1323
This model is a fine-tuned version of google/muril-base-cased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.3772
- Accuracy: 0.8515
- F1: 0.8383
- Precision: 0.9198
- Recall: 0.7701
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: 3e-05
- train_batch_size: 64
- eval_batch_size: 128
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 128
- optimizer: Use 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_ratio: 0.1
- num_epochs: 3
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
|---|---|---|---|---|---|---|---|
| 0.3841 | 1.0 | 2695 | 0.3712 | 0.8376 | 0.8189 | 0.9253 | 0.7344 |
| 0.3251 | 2.0 | 5390 | 0.3733 | 0.8497 | 0.8339 | 0.9316 | 0.7547 |
| 0.2786 | 3.0 | 8085 | 0.3772 | 0.8515 | 0.8383 | 0.9198 | 0.7701 |
Framework versions
- Transformers 4.47.0
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Created
- Mar 11, 2025
- Updated
- Mar 11, 2025