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@@ -120,7 +120,7 @@ for split in ("random", "stepwise", "gaussian"):
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  We then used the same setup as Liu et al. (2019) but trained only for half the steps (250k) on a sequence length of 128. Then, we continued training the most promising model for 25k more on sequence length 512.
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- **MENTION TWO WAYS TO CONTINUE TRAINING ON 512 AND SHOW DIFFERENCE IN PERFORMANCE, DO WE HAVE A GRAPH FOR THIS?**
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  ## Results
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  We then used the same setup as Liu et al. (2019) but trained only for half the steps (250k) on a sequence length of 128. Then, we continued training the most promising model for 25k more on sequence length 512.
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+ **MENTION TWO WAYS TO CONTINUE TRAINING ON 512 AND SHOW DIFFERENCE IN PERFORMANCE, DO WE HAVE A GRAPH FOR THIS?** .
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  ## Results
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