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@@ -35,6 +35,22 @@ It achieves the following results on the evaluation set:
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  - Loss: 0.7724
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  - Accuracy: 0.9158
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  ## Model description
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  More information needed
 
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  - Loss: 0.7724
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  - Accuracy: 0.9158
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+ ## Model Training Details
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+
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+ | Parameter | Value |
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+ |----------------------|--------------------------------------------------|
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+ | **Task** | text-classification |
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+ | **Teacher Model** | bert-base-uncased-finetuned-clinc_oos |
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+ | **Student Model** | distilbert-base-uncased |
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+ | **Dataset Name** | clinc_oos |
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+ | **Dataset Config** | plus |
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+ | **Evaluation Dataset**| validation |
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+ | **Batch Size** | 48 |
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+ | **Number of Epochs** | 5 |
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+ | **Learning Rate** | 0.00002 |
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+ | **Alpha*** | 1 |
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+ *alpha: (Total_loss = alpha * Loss_CE + (1-alpha) * Loss_KD)
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+
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  ## Model description
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  More information needed