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Models/PromptEOL+CSE+OPT-2.7B

PromptEOL+CSE+OPT-2.7B

Reported on 7 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 Processing7 results

Semantic Textual SimilarityonSTS14
Spearman Correlation· 2023-07-31
0.848
best: 0.8689 (AnglE-LLaMA-13B)
Scaling Sentence Embeddings with Large Language Models arXiv:2307.16645
Semantic Textual SimilarityonSTS15
Spearman Correlation· 2023-07-31
0.8951
best: 0.9004 (PromptEOL+CSE+LLaMA-30B)
Scaling Sentence Embeddings with Large Language Models arXiv:2307.16645
Semantic Textual SimilarityonSICK
Spearman Correlation· 2023-07-31
0.8129
best: 0.8243 (PromCSE-RoBERTa-large (0.355B))
Scaling Sentence Embeddings with Large Language Models arXiv:2307.16645
Semantic Textual SimilarityonSTS13
Spearman Correlation· 2023-07-31
0.8964
best: 0.9058 (AnglE-LLaMA-7B)
Scaling Sentence Embeddings with Large Language Models arXiv:2307.16645
Semantic Textual SimilarityonSTS Benchmark
Spearman Correlation· 2023-07-31
0.8833
best: 0.931 (Mnet-Sim)
Scaling Sentence Embeddings with Large Language Models arXiv:2307.16645
Semantic Textual SimilarityonSTS12
Spearman Correlation· 2023-07-31
0.7949
best: 0.802 (PromptEOL+CSE+OPT-13B)
Scaling Sentence Embeddings with Large Language Models arXiv:2307.16645
Semantic Textual SimilarityonSTS16
Spearman Correlation· 2023-07-31
0.8591
best: 0.87 (AnglE-LLaMA-7B-v2)
Scaling Sentence Embeddings with Large Language Models arXiv:2307.16645