GLUE SST-2: leaderboard
Stanford Sentiment Treebank, binary version (Socher et al., 2013), as used in GLUE: classify movie-review sentences as positive or negative. Archived Papers With Code table of accuracies as each paper reported them, under that paper’s own setup; higher is better.
Metric: Accuracy. Source: huggingface.co. Saturation forecast: Rough model projection: around 2026. 82 models tracked.
Top models
| # | Model | Score | Overall rank |
|---|---|---|---|
| 1 | T5 (11B) | 97.5 | #1631 |
No result here: #3 Claude Opus 5.5, #6 GPT-6 Astra, #7 GPT-6.1 Sol.
Interactive version: theaggregate.ai/benchmark?slug=glue-sst-2 · How It Works · Data refreshed daily, snapshot 2026-11-05.