Inter-annotator agreement among training labelers is roughly
AAbout 95% pairwise agreement
BAbout 30% pairwise agreement
CAbout 50% pairwise agreement
DAbout 73% pairwise agreement
Answer & Solution
Correct answer: D. About 73% pairwise agreement
Training labelers agree about 72.6%
held-out labelers agree about 77.3%.
Comparable to the 73% researcher-researcher agreement in the Stiennon et al. summarization work.
Keep practising InstructGPT RLHF
Browse all InstructGPT RLHF questions for Claude, or explore more Aifoundations topics.
Related questions
Knock out the false alignment claimsRM models in InstructGPT are sized atRM training uses all C(K,2) comparisons from a single prompt asThe RM training pairwise loss function uses'PPO-ptx' differs from plain PPO byThe alignment goal is summarised as the model beingThe final RL step uses which algorithm to optimise the policy?The reward model is trained on