SeaEval - Emotion - SST-2 (Zero-Shot): leaderboard
SeaEval zero-shot SST-2 evaluation measuring affective language understanding for Indonesian and English emotion or sentiment classification.
Metric: Accuracy (%). Source: huggingface.co. Saturation forecast: Estimated already saturated. 25 models tracked.
Top models
| # | Model | Score | Overall rank |
|---|---|---|---|
| 1 | Llama 3.1 70B Instruct | 95.3 | #561 |
| 2 | Llama 3.1 70B Cpt Sea Lionv3 Instruct | 95.3 | #548 |
| 3 | Llama 3 70B Instruct | 94.95 | #634 |
| 4 | Qwen 2.5 32B Instruct | 94.72 | #498 |
| 5 | Sailor2-8B-Chat | 94.61 | #782 |
| 6 | SeaLLMs-v3-7B-Chat | 94.04 | #915 |
| 7 | Qwen 2 72B Instruct | 93.46 | #576 |
| 8 | Qwen 2 7B Instruct | 93.46 | #991 |
| 9 | Qwen 2.5 72B Instruct | 93.35 | #454 |
| 10 | Gemma 2 9B (IT) | 93.12 | #788 |
| 11 | Qwen 2.5 14B Instruct | 93.12 | #647 |
| 12 | gemma2-9B-cpt-sea-lionv3-instruct | 93.12 | #705 |
| 13 | Qwen 2.5 7B Instruct | 92.55 | #862 |
| 14 | Gemma 2 2B (IT) | 92.43 | #1341 |
| 15 | Qwen 2.5 1.5B Instruct | 92.32 | #1407 |
No result here: #3 Claude Opus 5.5, #6 GPT-6 Astra, #7 GPT-6.1 Sol.
Interactive version: theaggregate.ai/benchmark?slug=seaeval-emotion-sst-2-zero-shot · How It Works · Data refreshed daily, snapshot 2026-10-20.