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@@ -74,9 +74,7 @@ The dataset used for training is listed below according to training sequences:
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  ## Training procedure
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  The training approach uses the fine-tuning approach of transfer learning on the pre-trained model to perform NLP QA tasks.
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  Each time a model was trained with one dataset only and saved as the PTMs for the next training.
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  This model is the last model that trained with [MRQA(test split)](https://huggingface.co/datasets/mrqa).
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  ### Training hyperparameters
 
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  ## Training procedure
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  The training approach uses the fine-tuning approach of transfer learning on the pre-trained model to perform NLP QA tasks.
 
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  Each time a model was trained with one dataset only and saved as the PTMs for the next training.
 
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  This model is the last model that trained with [MRQA(test split)](https://huggingface.co/datasets/mrqa).
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  ### Training hyperparameters