ArghaKamalSamanta
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ema_task_entailment

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ArghaKamalSamanta commited on Jul 20

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@@ -22,5 +22,6 @@ base_model:
 ![image/png](https://cdn-uploads.huggingface.co/production/uploads/66459d9b9a74ece3a312e380/X1RdqHS6zLI874J4bz1Kb.png)
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 <p></p><p></p>
 <i><b>N.B.:</b> Due to computational resource constraints, only 11K samples are used for fine-tuning. There is room for accuracy improvement if a model is trained on all the 390K samples in the dataset.</i>

 ![image/png](https://cdn-uploads.huggingface.co/production/uploads/66459d9b9a74ece3a312e380/X1RdqHS6zLI874J4bz1Kb.png)
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+<li>Notebook used for fine-tuning: <a href='https://huggingface.co/ArghaKamalSamanta/ema_task_entailment/blob/main/ema-task-bert-finetuning.ipynb'>here</a></li>
 <p></p><p></p>
 <i><b>N.B.:</b> Due to computational resource constraints, only 11K samples are used for fine-tuning. There is room for accuracy improvement if a model is trained on all the 390K samples in the dataset.</i>