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