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  # Model Card for T5-LM-Large_Canard-HotpotQA-rephrase
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  This model is trained on three objectives:
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- (1) Generating answers for Canard dataset based on Wikipedia search results
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- (2) Generating answers for HotpotQA,
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- (3) Rephrasing questions by the conversation context.
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  ## Training
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- The model was trained using the following script, exported from the corresponding Jupyter notebook. All details, including the request format, can be inferred without errors from the code.
 
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  The best checkpoint was picked by a maximum ROUGE on Canard conversational QA's ROUGE.
 
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  ```python
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  import datasets
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  # Model Card for T5-LM-Large_Canard-HotpotQA-rephrase
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  This model is trained on three objectives:
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+ 1. Generating answers for Canard dataset based on Wikipedia search results
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+ 2. Generating answers for HotpotQA,
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+ 3. Rephrasing questions by the conversation context.
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  ## Training
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+ The model was trained using the following script, which can be copy-pasted and run as-is (with the installed `requirements.txt`).
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+ All details, including the request format, can be inferred without errors from the code.
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  The best checkpoint was picked by a maximum ROUGE on Canard conversational QA's ROUGE.
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+
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  ```python
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  import datasets
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