Codesota · Models · ALBERT ensemble2 results · 2 benchmarks
Model card
ALBERT ensemble.
unknown2 current SOTA
§ 02 · Benchmarks
Every benchmark ALBERT ensemble has a recorded score for.
| # | Benchmark | Area · Task | Metric | Value | Rank | Date | Source |
|---|---|---|---|---|---|---|---|
| 01 | RACE | Natural Language Processing · Reading Comprehension | accuracy | 89.4% | #1 | — | source ↗ |
| 02 | SQuAD v2.0 | Natural Language Processing · Question Answering | f1 | 92.2% | #1 | — | 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 ALBERT ensemble actually performs.
§ 04 · Papers
1 paper with results for ALBERT ensemble.
- 2019-09-26· 2 results
ALBERT: A Lite BERT for Self-supervised Learning of Language Representations
§ 06 · Sources & freshness
Where these numbers come from.
pwc-dump
2
results
0 of 2 rows marked verified.