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Have you tried evaluating the performance of the model after RL on datasets that are out of the distribution of the RL training data?
Is there still a noticeable improvement ?
The text was updated successfully, but these errors were encountered:
We have some more evaluation on Olympiad and Minera:
We do show improvement over Deepseek's original distilled model, it was not that good on Minerva but we crush others on OlympiadBench.
Have you tried evaluating the performance of the model after RL on datasets that are out of the distribution of the RL training data?
Is there still a noticeable improvement ?
The text was updated successfully, but these errors were encountered: