Classification on CrossFit cls-23
75.4AccuracyABMLL-MetaICL
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| ABMLL-MetaICLModel=LLAMA3, ICL setting=Yes2025.08 | 75.4 | 27.1 | |
| ABMLL-MetaICLModel=QWEN2, ICL setting=Yes2025.08 | 75.3 | 28.4 | |
| Reptile-MetaICLModel=QWEN2, ICL setting=Yes2025.08 | 74.2 | 28.7 | |
| Reptile-MetaICLModel=LLAMA3, ICL setting=Yes2025.08 | 73.5 | 26.3 | |
| ABMLLModel=LLAMA32025.08 | 73.3 | 27.3 | |
| ReptileModel=LLAMA32025.08 | 72.7 | 28.4 | |
| ABMLLModel=QWEN22025.08 | 72.4 | 28.5 | |
| Struct. LoRAModel=LLAMA32025.08 | 71.4 | 30.5 | |
| MetaICLModel=LLAMA3, ICL setting=Yes2025.08 | 70.8 | 30.7 | |
| MetaICLModel=QWEN2, ICL setting=Yes2025.08 | 70.2 | 29.5 | |
| ReptileModel=QWEN22025.08 | 70 | 29.3 | |
| Struct. LoRAModel=QWEN22025.08 | 67.4 | 32.1 | |
| Regular LoRAModel=LLAMA32025.08 | 66 | 32.8 | |
| Regular LoRAModel=QWEN22025.08 | 66 | 33 | |
| PretrainedModel=QWEN22025.08 | 60.5 | 39.7 | |
| PretrainedModel=LLAMA32025.08 | 26 | 45.8 |