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UrduNER
mahwizzzz/UrduNER
UrduNER is a token classification model from mahwizzzz. Use it when you need labels on individual words, such as names. It is set up for transformers. The card lists the license as mit.
This model is a fine-tuned version of urduhack/roberta-urdu-small on the wikiann dataset. It achieves the following results on the evaluation set: - Loss: 0.1163 - Overall Precision: 0.9540 - Overall Recall: 0.9553 -…
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At a glance
- Task
- Token Classification
- Library
- transformers
- License
- mit
- Model type
- roberta
- Access
- Public
- Created
- Aug 2, 2023
- Updated
- Mar 3, 2025
- SHA
- 036e937e
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Model card
From the Hugging Face model README
UrduNER
This model is a fine-tuned version of urduhack/roberta-urdu-small on the wikiann dataset. It achieves the following results on the evaluation set:
- Loss: 0.1163
- Overall Precision: 0.9540
- Overall Recall: 0.9553
- Overall F1: 0.9546
- Overall Accuracy: 0.9836
- Loc F1: 0.9643
- Org F1: 0.9448
- Per F1: 0.9491
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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 7
Training results
| Training Loss | Epoch | Step | Validation Loss | Overall Precision | Overall Recall | Overall F1 | Overall Accuracy | Loc F1 | Org F1 | Per F1 |
|---|---|---|---|---|---|---|---|---|---|---|
| 0.248 | 1.0 | 1250 | 0.0920 | 0.8906 | 0.8991 | 0.8948 | 0.9687 | 0.9086 | 0.8686 | 0.8995 |
| 0.1169 | 2.0 | 2500 | 0.0761 | 0.9302 | 0.9390 | 0.9346 | 0.9791 | 0.9501 | 0.9045 | 0.9400 |
| 0.07 | 3.0 | 3750 | 0.0831 | 0.9394 | 0.9451 | 0.9422 | 0.9805 | 0.9505 | 0.9348 | 0.9361 |
| 0.029 | 4.0 | 5000 | 0.1102 | 0.9311 | 0.9431 | 0.9371 | 0.9784 | 0.9469 | 0.9305 | 0.9279 |
| 0.0134 | 5.0 | 6250 | 0.1225 | 0.9442 | 0.9519 | 0.9480 | 0.9820 | 0.9593 | 0.9438 | 0.9337 |
| 0.0107 | 6.0 | 7500 | 0.1087 | 0.9515 | 0.9566 | 0.9541 | 0.9837 | 0.9660 | 0.9423 | 0.9466 |
| 0.005 | 7.0 | 8750 | 0.1163 | 0.9540 | 0.9553 | 0.9546 | 0.9836 | 0.9643 | 0.9448 | 0.9491 |
Framework versions
- Transformers 4.32.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3
- Task
- Token Classification
- Library
- transformers
- Type
- roberta
- License
- mit
- Languages
- ur
- Created
- Aug 2, 2023
- Updated
- Mar 3, 2025