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language: |
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- ur |
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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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- ur |
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- generated_from_trainer |
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datasets: |
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- mwz/ur_financial_phrasebank |
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model-index: |
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- name: Urdu Sentiment Classification |
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results: [] |
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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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# Urdu Sentiment Classification |
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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 financial_phrasebank dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.5088 |
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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: 8 |
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- eval_batch_size: 8 |
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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: 10 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 0.1051 | 1.96 | 500 | 0.6554 | |
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| 0.1383 | 3.92 | 1000 | 0.5446 | |
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| 0.0725 | 5.88 | 1500 | 0.4635 | |
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| 0.0187 | 7.84 | 2000 | 0.4727 | |
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| 0.0012 | 9.8 | 2500 | 0.5088 | |
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### Framework versions |
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- Transformers 4.35.2 |
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- Pytorch 2.1.0+cu118 |
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- Datasets 2.15.0 |
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- Tokenizers 0.15.0 |
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