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README.md
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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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| 75 |
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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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| 77 |
Each time a model was trained with one dataset only and saved as the PTMs for the next training.
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| 78 |
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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