Multiclass text classification on Twitter-Fin
91.87AccuracyLS-LLaMA-2-7B
Evaluation Results
| Method | Links | |
|---|---|---|
| LS-LLaMA-2-7BModel Size=7B2023.10 | 91.87 | |
| LS-unLLaMA-2-7BModel Size=7B2023.10 | 91.54 | |
| LS-LLaMA-2-13BModel Size=13B2023.10 | 91.2 | |
| RoBERTa-LargeModel Architecture=Discriminant baseline2023.10 | 90.95 | |
| RoBERTa-BaseModel Architecture=Discriminant baseline2023.10 | 90.32 | |
| BERT-LargeModel Architecture=Discriminant baseline2023.10 | 88.74 | |
| BERT-BaseModel Architecture=Discriminant baseline2023.10 | 88.19 | |
| LS-unLLaMA-2-13BModel Size=13B2023.10 | 87.94 | |
| LLaMA-2-7BEvaluation Protocol=instruction-tuning, Model Size=7B2023.10 | 68.72 | |
| LLaMA-2-13BEvaluation Protocol=zero-shot, Model Size=13B2023.10 | 38.74 | |
| LLaMA-2-7BEvaluation Protocol=zero-shot, Model Size=7B2023.10 | 23.4 |