Training Compute-Optimal Large Language Models

Benchmark Model Rank Results
crass-ai-on-big-benchChinchilla-70B (few-shot, k=5)#1Accuracy: 75.0
logical-reasoning-on-big-bench-logic-grid-puzzleChinchilla-70B (few-shot, k=5)#1Accuracy: 44
word-sense-disambiguation-on-big-bench-anachronismsChinchilla-70B (few-shot, k=5)#1Accuracy: 69.1
common-sense-reasoning-on-big-bench-known-unknownsChinchilla-70B (few-shot, k=5)#2Accuracy: 65.2
common-sense-reasoning-on-big-bench-winowhyChinchilla-70B (few-shot, k=5)#2Accuracy: 62.5
logical-reasoning-on-big-bench-strategyqaChinchilla-70B (few-shot, k=5)#2Accuracy: 68.3
multiple-choice-question-answering-mcqa-on-big-bench-novel-conceptsChinchilla-70B (few-shot, k=5)#2Accuracy: 65.6
logical-reasoning-on-big-bench-penguins-in-a-tableChinchilla-70B (few-shot, k=5)#3Accuracy: 48.7
logical-reasoning-on-big-bench-reasoning-about-colored-objectsChinchilla-70B (few-shot, k=5)#3Accuracy: 59.7
common-sense-reasoning-on-big-bench-causal-judgmentChinchilla-70B (few-shot, k=5)#4Accuracy: 57.4
common-sense-reasoning-on-big-bench-disambiguation-qaChinchilla-70B (few-shot, k=5)#4Accuracy: 54.7
common-sense-reasoning-on-big-bench-sports-understandingChinchilla-70B (few-shot, k=5)#4Accuracy: 71
multiple-choice-question-answering-mcqa-on-big-bench-navigateChinchilla-70B (few-shot, k=5)#4Accuracy: 52.6
common-sense-reasoning-on-big-bench-date-understandingChinchilla-70B (few-shot, k=5)#5Accuracy: 52.3
logical-reasoning-on-big-bench-temporal-sequencesChinchilla-70B (few-shot, k=5)#5Accuracy: 32.0
logical-reasoning-on-big-bench-formal-fallacies-syllogisms-negationChinchilla-70B (few-shot, k=5)#7Accuracy: 52.1
sarcasm-detection-on-big-bench-snarksChinchilla-70B (few-shot, k=5)#7Accuracy: 58.6
multiple-choice-question-answering-mcqa-on-big-bench-hyperbatonChinchilla-70B (few-shot, k=5)#8Accuracy: 54.2
multiple-choice-question-answering-mcqa-on-big-bench-movie-recommendationChinchilla-70B (few-shot, k=5)#8Accuracy: 75.6
multiple-choice-question-answering-mcqa-on-big-bench-ruin-namesChinchilla-70B (few-shot, k=5)#8Accuracy: 47.1
language-modelling-on-lambadaChinchilla (Zero-Shot)#12Accuracy: 77.7
question-answering-on-social-iqaChinchilla (zero-shot)#19Accuracy: 51.3
question-answering-on-boolqChinchilla 70B (0-shot)#31Accuracy: 83.7
multi-task-language-understanding-on-mmluchatgpt/gpt3.5(20B)#33Average (%): 67.5
question-answering-on-natural-questionsChinchilla (few-shot, k=64)#36EM: 35.5
question-answering-on-piqaChinchilla 70B (0-shot)#42Accuracy: 81.8
common-sense-reasoning-on-winograndeChinchilla 70B (0-shot)#56Accuracy: 74.9
sentence-completion-on-hellaswagChinchilla 70B (0-shot)#68Accuracy: 80.8