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Token Density Impact on Validation Metrics in Model Training

Nope, it wouldn't be the same; that's the catch! Because the token density is about 20% higher when the same text is processed, the validation metric ends up being around 4.18. Making the train/val boundary at exactly the same word is possible, but it won't change the mismatch.

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