Model card
DeBERTa (ensemble).
Microsoftopen-source
§ 02 · Benchmarks
Every benchmark DeBERTa (ensemble) has a recorded score for.
| # | Benchmark | Area · Task | Metric | Value | Rank | Date | Source |
|---|---|---|---|---|---|---|---|
| 01 | GLUE | Natural Language Processing · Text classification | SuperGLUE avg | 90.3% | #4 | 2021-01-01 | source ↗ |
Rank column shows this model’s position vs all other models scored on the same benchmark + metric (competitors after the slash). #1 in red means current SOTA. Sorted by rank, then newest result.
§ 03 · Strengths by area
Where DeBERTa (ensemble) actually performs.
§ 04 · Papers
1 paper with results for DeBERTa (ensemble).
- 2020-06-05· 1 result
DeBERTa: Decoding-enhanced BERT with Disentangled Attention
§ 05 · Related models
Other Microsoft models scored on Codesota.
RAD-DINO
2 results · 1 SOTA
NaturalSpeech 3
~500M params · 1 result · 1 SOTA
Swin Transformer V2 Large
197M params · 1 result · 1 SOTA
WavLM Large (SV)
316M params · 1 result · 1 SOTA
ResNet-152
60M params · 3 results
ResNet-50
25M params · 3 results
DeBERTa-v3-large
304M params · 2 results
Florence-2-Large
2 results
§ 06 · Sources & freshness
Where these numbers come from.
microsoft-blog
1
result
1 of 1 rows marked verified.