| | --- |
| | license: mit |
| | base_model: urduhack/roberta-urdu-small |
| | tags: |
| | - generated_from_trainer |
| | datasets: |
| | - mteb/amazon_massive_intent |
| | model-index: |
| | - name: UrduIntentClassification |
| | results: [] |
| | widget: |
| | - text: جنگ کی کيا نئی خبر ہے |
| | example_title: News |
| | - text: ہر ہفتے کے دن آٹھ کے لیے الارم سیٹ کریں |
| | example_title: Alarm |
| | - text: میں mcdonald کو ایک شکایت ٹویٹ کرنا چاہتا ہوں |
| | example_title: Social |
| | language: |
| | - ur |
| | --- |
| | |
| | <!-- 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. --> |
| |
|
| | # UrduIntentClassification |
| |
|
| | This model is a fine-tuned version of [urduhack/roberta-urdu-small](https://huggingface.co/urduhack/roberta-urdu-small) on the massive dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 0.7482 |
| |
|
| | ## 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: 5e-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 |
| | - lr_scheduler_warmup_steps: 500 |
| | - num_epochs: 8 |
| | |
| | ### Training results |
| | |
| | | Training Loss | Epoch | Step | Validation Loss | |
| | |:-------------:|:-----:|:----:|:---------------:| |
| | | 1.3314 | 1.0 | 720 | 1.0549 | |
| | | 0.7468 | 2.0 | 1440 | 0.7997 | |
| | | 0.4117 | 3.0 | 2160 | 0.7482 | |
| | | 0.3267 | 4.0 | 2880 | 0.8247 | |
| | | 0.2292 | 5.0 | 3600 | 0.9014 | |
| | | 0.0356 | 6.0 | 4320 | 0.9446 | |
| | | 0.0123 | 7.0 | 5040 | 0.9757 | |
| | | 0.0208 | 8.0 | 5760 | 0.9854 | |
| | |
| | |
| | ### Framework versions |
| | |
| | - Transformers 4.32.1 |
| | - Pytorch 2.0.0 |
| | - Datasets 2.1.0 |
| | - Tokenizers 0.13.3 |
