Pythia: A Suite for Analyzing Large Language Models Across Training and Scaling

Benchmark Model Rank Results
language-modelling-on-lambadaPythia 12B (0-shot)#21Accuracy: 70.46
language-modelling-on-lambadaPythia 6.9B (0-shot)#29Accuracy: 67.28
language-modelling-on-lambadaPythia 12B(Zero-Shot)#68Perplexity: 3.92
language-modelling-on-lambadaPythia 6.9B(Zero-Shot)#69Perplexity: 4.45
common-sense-reasoning-on-arc-challengePythia 12B (5-shot)#37Accuracy: 36.8
common-sense-reasoning-on-arc-challengePythia 12B (0-shot)#39Accuracy: 31.8
common-sense-reasoning-on-arc-easyPythia 12B (5-shot)#52Accuracy: 71.5
common-sense-reasoning-on-arc-easyPythia 12B (0-shot)#57Accuracy: 70.2
coreference-resolution-on-winograd-schema-challengePythia 12B (0-shot)#55Accuracy: 54.8
coreference-resolution-on-winograd-schema-challengePythia 2.8B (0-shot)#61Accuracy: 38.5
coreference-resolution-on-winograd-schema-challengePythia 6.9B (0-shot)#63Accuracy: 36.5
coreference-resolution-on-winograd-schema-challengePythia 12B (5-shot)#64Accuracy: 36.5
common-sense-reasoning-on-winograndePythia 12B (5-shot)#91Accuracy: 66.6
common-sense-reasoning-on-winograndePythia 12B (0-shot)#100Accuracy: 63.9
common-sense-reasoning-on-winograndePythia 6.9B (0-shot)#111Accuracy: 60.9
common-sense-reasoning-on-winograndePythia 2.8B (0-shot)#122Accuracy: 59.4
question-answering-on-piqaPythia 12B (5-shot)#97Accuracy: 76.7
question-answering-on-piqaPythia 12B (0-shot)#106Accuracy: 76
question-answering-on-piqaPythia 6.9B (0-shot)#113Accuracy: 75.2
question-answering-on-piqaPythia 1B (5-shot)#154Accuracy: 70.4