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oops missed one # have to fix
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@ -68,7 +68,7 @@ I briefly tried finetuning gpt2 a bit more on our OWT and didn't notice dramatic
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For model benchmarking `bench.py` might be useful. It's identical what happens in the meat of the training loop of `train.py`, but omits much of the other complexities.
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# todos
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## todos
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A few that I'm aware of, other than the ones mentioned in code:
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