FinQANet (BERT-large)
Reported on 2 benchmarks across 1 task · 1 paper
Note: results are matched by exact model name. Different papers may use the same name for different model variants.
Natural Language Processing2 results
- Execution Accuracy· 2021-09-0157.43best: 71.07 (APOLLO)
- Program Accuracy· 2021-09-0155.52best: 68.94 (APOLLO)