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--- |
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license: mit |
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base_model: urduhack/roberta-urdu-small |
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tags: |
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- generated_from_trainer |
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datasets: |
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- mteb/amazon_massive_intent |
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model-index: |
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- name: UrduIntentClassification |
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results: [] |
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widget: |
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- text: جنگ کی کيا نئی خبر ہے |
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example_title: News |
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- text: ہر ہفتے کے دن آٹھ کے لیے الارم سیٹ کریں |
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example_title: Alarm |
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- text: میں mcdonald کو ایک شکایت ٹویٹ کرنا چاہتا ہوں |
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example_title: Social |
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language: |
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- ur |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# UrduIntentClassification |
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This model is a fine-tuned version of [urduhack/roberta-urdu-small](https://huggingface.co/urduhack/roberta-urdu-small) on the massive dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.7482 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 5e-05 |
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- train_batch_size: 16 |
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- eval_batch_size: 16 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_steps: 500 |
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- num_epochs: 8 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 1.3314 | 1.0 | 720 | 1.0549 | |
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| 0.7468 | 2.0 | 1440 | 0.7997 | |
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| 0.4117 | 3.0 | 2160 | 0.7482 | |
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| 0.3267 | 4.0 | 2880 | 0.8247 | |
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| 0.2292 | 5.0 | 3600 | 0.9014 | |
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| 0.0356 | 6.0 | 4320 | 0.9446 | |
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| 0.0123 | 7.0 | 5040 | 0.9757 | |
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| 0.0208 | 8.0 | 5760 | 0.9854 | |
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### Framework versions |
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- Transformers 4.32.1 |
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- Pytorch 2.0.0 |
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- Datasets 2.1.0 |
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- Tokenizers 0.13.3 |
