Sentiment Analysis on Financial Phrasebank
86.72AccuracyColD-Fusion
Evaluation Results
| Method | Links | |
|---|---|---|
| ColD-Fusion2022.12 | 86.72 | |
| Finetune2022.12 | 85.4 | |
| Multitask2022.12 | 85.26 | |
| GPT3.5Source Task=AG-news2024.05 | 83.6 | |
| LLaMA-2 13BSource Task=QQP2024.05 | 82.4 | |
| GPT3.5Source Task=Commonsense-QA2024.05 | 82 | |
| GPT3.5Source Task=ARC-Easy2024.05 | 79.8 | |
| LLaMA-2 13BSource Task=MNLI2024.05 | 79 | |
| LLaMA-2 13BSource Task=AG-news2024.05 | 78.6 | |
| GPT3.5Source Task=BoolQ2024.05 | 78.6 | |
| GPT3.5Source Task=SST22024.05 | 75.6 | |
| GPT3.5Source Task=QQP2024.05 | 74.2 | |
| GPT3.5Source Task=RACE2024.05 | 73.4 | |
| LLaMA-2 13BSource Task=SST22024.05 | 72.8 | |
| GPT3.5Source Task=MNLI2024.05 | 72.2 | |
| LLaMA-2 13BSource Task=ARC-Easy2024.05 | 66.6 | |
| LLaMA-2 13BSource Task=RACE2024.05 | 66.5 | |
| LLaMA-2 13BSource Task=BoolQ2024.05 | 65.8 | |
| LLaMA-2 13BSource Task=Zero-shot2024.05 | 65.4 | |
| LLaMA-2 7BSource Task=SST22024.05 | 65 | |
| GPT3.5Source Task=Conll2003-NER2024.05 | 64.3 | |
| LLaMA-2 7BSource Task=MNLI2024.05 | 62.7 | |
| LLaMA-2 7BSource Task=AG-news2024.05 | 62.1 | |
| LLaMA-2 13BSource Task=Commonsense-QA2024.05 | 61.7 | |
| GPT3.5Source Task=Zero-shot2024.05 | 57.5 | |
| LLaMA-2 7BSource Task=RACE2024.05 | 53.4 | |
| GPT3.5Source Task=Conll2003-POS2024.05 | 50.3 | |
| MUPPET2022.12 | 46.1 | |
| LLaMA-2 7BSource Task=QQP2024.05 | 44.7 | |
| LLaMA-2 7BSource Task=ARC-Easy2024.05 | 43.5 | |
| LLaMA-2 7BSource Task=BoolQ2024.05 | 40.9 | |
| LLaMA-2 7BSource Task=Zero-shot2024.05 | 34.1 | |
| LLaMA-2 7BSource Task=Commonsense-QA2024.05 | 14.6 | |
| LLaMA-2 13BSource Task=Conll2003-NER2024.05 | 13.17 | |
| LLaMA-2 13BSource Task=Conll2003-POS2024.05 | 2.2 | |
| LLaMA-2 7BSource Task=Conll2003-POS2024.05 | 1.4 | |
| LLaMA-2 7BSource Task=Conll2003-NER2024.05 | 0.4 |