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README.md
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##Preprocessing
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The text are tokenized using the GPT2 tokenizer.To feed the inputs of multiple choice we concatenated context and question
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## Evaluation
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The following tables summarize the scores obtained by the **GPT2-CosmosQA**.
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| Model | Dev Acc | Test Acc |
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| GPT-FT
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| GPT2-CosmosQA | 60.3 | 59.7 |
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##Preprocessing
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The text are tokenized using the GPT2 tokenizer.To feed the inputs of multiple choice we concatenated context and question as first input and all the 4 possible choices as the second input to our tokenizer.
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## Evaluation
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The following tables summarize the scores obtained by the **GPT2-CosmosQA**.The ones marked as (*) are the baseline models.
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| Model | Dev Acc | Test Acc |
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| GPT-FT * | 54.0 | 54.4. |
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| GPT2-CosmosQA | 60.3 | 59.7 |
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