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End of training

Browse files
README.md CHANGED
@@ -1,28 +1,26 @@
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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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  model-index:
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- - name: UrduSentimentClassification
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  results: []
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-
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- widget:
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- - text: گران کے مطابق ، کمپنی کی تمام پیداوار روس منتقل کرنے کا کوئی منصوبہ نہیں ہے ، اگرچہ کمپنی وہاں بڑھ رہی ہے
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- نے میری توقعات کو پورا کیا۔ !
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- example_title: Example 1
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- - text: بی اختیارات کے استعمال سے زیادہ سے زیادہ 666،104 نئے حصص کے لیے 2004 کے اسٹاک آپشن پلان کے تحت مزید سبسکرائب کیا جا سکتا ہے۔
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- example_title: Example 2
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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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- # UrduSentimentClassification
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- This model is a fine-tuned version of [urduhack/roberta-urdu-small](https://huggingface.co/urduhack/roberta-urdu-small) on an unknown 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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@@ -54,11 +52,11 @@ The following hyperparameters were used during training:
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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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  ---
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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: 0.4924
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | 0.4931 | 1.96 | 500 | 0.5585 |
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+ | 0.2415 | 3.92 | 1000 | 0.3782 |
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+ | 0.1116 | 5.88 | 1500 | 0.6486 |
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+ | 0.0357 | 7.84 | 2000 | 0.4853 |
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+ | 0.0101 | 9.8 | 2500 | 0.4924 |
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  ### Framework versions
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