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Update README.md

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@@ -90,7 +90,7 @@ Also, you should improve the Dataset either by using a **better generated questi
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  ## Training and evaluation data
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  - `batch_size` of 6 results in 14.03 GB VRAM
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- - Utilizes `gradient_accumulation_steps` to get total batch size to 514 (batch size should be at least 256)
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  - 4.52 GB RAM
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  - 30% of the total questions is dedicated for evaluating.
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  ## Training and evaluation data
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  - `batch_size` of 6 results in 14.03 GB VRAM
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+ - Utilizes `gradient_accumulation_steps` to get total batch size to 516 (total batch size should be at least 256)
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  - 4.52 GB RAM
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  - 30% of the total questions is dedicated for evaluating.
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