Classification on 9 classification tasks (test)
53.8AccuracyPretrained
Evaluation results
| Method | Links | |
|---|---|---|
| PretrainedBackbone=OPT-2.7B2024.06 | 53.8 | |
| POPBackbone=Neo-2.7B2024.06 | 52.3 | |
| POPBackbone=OPT-2.7B2024.06 | 52.2 | |
| PretrainedBackbone=Neo-2.7B2024.06 | 52.2 | |
| ULBackbone=Neo-2.7B2024.06 | 51.9 | |
| POPhBackbone=Neo-2.7B2024.06 | 51.8 | |
| PretrainedBackbone=OPT-1.3B2024.06 | 51.5 | |
| POPBackbone=OPT-1.3B2024.06 | 50.4 | |
| PretrainedBackbone=Neo-1.3B2024.06 | 49.7 | |
| POPBackbone=Neo-1.3B2024.06 | 49.5 | |
| ULBackbone=Neo-1.3B2024.06 | 49.2 | |
| POPhBackbone=Neo-1.3B2024.06 | 48.3 | |
| PretrainedBackbone=Neo-125M2024.06 | 43.5 | |
| POPBackbone=OPT-125M2024.06 | 43.3 | |
| POPBackbone=Neo-125M2024.06 | 43 | |
| POPhBackbone=Neo-125M2024.06 | 42.9 | |
| PretrainedBackbone=OPT-125M2024.06 | 42.6 | |
| POPhBackbone=OPT-1.3B2024.06 | 42.4 | |
| POPhBackbone=OPT-2.7B2024.06 | 42.1 | |
| ULBackbone=Neo-125M2024.06 | 40.8 | |
| POPhBackbone=OPT-125M2024.06 | 37 | |
| ULBackbone=OPT-2.7B2024.06 | 37 | |
| ULBackbone=OPT-1.3B2024.06 | 36.2 | |
| ULBackbone=OPT-125M2024.06 | 32.9 |