Flan-T5-xxl

Reported on 4 benchmarks across 2 tasks · 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

Text ClassificationonThis is not a Dataset
Accuracy· 2023-10-24
94.1
best: 95.7 (Vicuna13B v1.1)
This is not a Dataset: A Large Negation Benchmark to Challenge Large Language Models arXiv:2310.15941
Text ClassificationonThis is not a Dataset
Coherence· 2023-10-24
51.8
best: 81.2 (Vicuna13B v1.1)
This is not a Dataset: A Large Negation Benchmark to Challenge Large Language Models arXiv:2310.15941

Methodology2 results

ClassificationonThis is not a Dataset
Accuracy· 2023-10-24
94.1
best: 95.7 (Vicuna13B v1.1)
This is not a Dataset: A Large Negation Benchmark to Challenge Large Language Models arXiv:2310.15941
ClassificationonThis is not a Dataset
Coherence· 2023-10-24
51.8
best: 81.2 (Vicuna13B v1.1)
This is not a Dataset: A Large Negation Benchmark to Challenge Large Language Models arXiv:2310.15941