Simon van Dyk
commited on
Commit
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869f6e4
1
Parent(s):
ae197f5
Fix incorrect reference
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README.md
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@@ -107,7 +107,7 @@ The algorithm outline is as follows:
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- Drop the worst performing LLM labelers from the ensemble.
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- Repeat the process with the remaining LLM labelers until the number of samples relabeled reaches 0.
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- Store the refined relabeled dataset.
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5. This is the final dataset used for training the [NOSIBLE
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## Additional information
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- Drop the worst performing LLM labelers from the ensemble.
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- Repeat the process with the remaining LLM labelers until the number of samples relabeled reaches 0.
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- Store the refined relabeled dataset.
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5. This is the final dataset used for training the [NOSIBLE Forward Looking v1.1 Base](https://huggingface.co/NOSIBLE/forward-looking-v1.1-base) model, which is a finetune.
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## Additional information
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