Fix table markdown
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@ -159,10 +159,8 @@ model results are sorted by geometric mean to produce an intelligible ordering.
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and in fact underperforms `dolly-v1-6b` in some evaluation benchmarks. We believe this owes to the composition and size of the underlying fine tuning datasets,
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but a robust statement as to the sources of these variations requires further study.
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```
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+-----------------------------------+--------------+------------+--------------+-------------+-----------------+----------+----------+----------+
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| model | openbookqa | arc_easy | winogrande | hellaswag | arc_challenge | piqa | boolq | gmean |
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+-----------------------------------+--------------+------------+--------------+-------------+-----------------+----------+----------+----------|
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| --------------------------------- | ------------ | ---------- | ------------ | ----------- | --------------- | -------- | -------- | ---------|
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| EleutherAI/pythia-2.8b | 0.348 | 0.585859 | 0.589582 | 0.591217 | 0.323379 | 0.73395 | 0.638226 | 0.523431 |
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| EleutherAI/pythia-6.9b | 0.368 | 0.604798 | 0.608524 | 0.631548 | 0.343857 | 0.761153 | 0.6263 | 0.543567 |
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| databricks/dolly-v2-3b | 0.384 | 0.611532 | 0.589582 | 0.650767 | 0.370307 | 0.742655 | 0.575535 | 0.544886 |
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@ -172,7 +170,5 @@ but a robust statement as to the sources of these variations requires further st
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| databricks/dolly-v2-7b | 0.392 | 0.633838 | 0.607735 | 0.686517 | 0.406997 | 0.750816 | 0.644037 | 0.573487 |
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| databricks/dolly-v1-6b | 0.41 | 0.62963 | 0.643252 | 0.676758 | 0.384812 | 0.773667 | 0.687768 | 0.583431 |
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| EleutherAI/gpt-neox-20b | 0.402 | 0.683923 | 0.656669 | 0.7142 | 0.408703 | 0.784004 | 0.695413 | 0.602236 |
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+-----------------------------------+--------------+------------+--------------+-------------+-----------------+----------+----------+----------+
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```
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# Happy Hacking!
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