paper-with-me

Text Classification 벤치마크

Text Classification on MTEB

62개 결과 · ⬇ CSV · JSON

Accuracy

52.37 57.63 62.89 68.16 73.42 2022-10 2026-11 ST5-XXL — 73.42 (2022-10-13) ST5-XL — 72.84 (2022-10-13) ST5-Large — 72.31 (2022-10-13) Ada Similarity — 70.44 (2022-10-13) SGPT-5.8B-nli — 70.14 (2022-10-13) ST5-Base — 69.81 (2022-10-13) SGPT-5.8B-msmarco — 68.13 (2022-10-13) MPNet-multilingual — 67.91 (2022-10-13) GTR-XXL — 67.41 (2022-10-13) SimCSE-BERT-sup — 67.32 (2022-10-13) GTR-Large — 67.14 (2022-10-13) SGPT-2.7B-msmarco — 67.13 (2022-10-13) GTR-XL — 67.11 (2022-10-13) Contriever — 66.68 (2022-10-13) SGPT-1.3B-msmarco — 66.52 (2022-10-13) SGPT-BLOOM-7.1B-msmarco — 66.19 (2022-10-13) GTR-Base — 65.25 (2022-10-13) MPNet — 65.07 (2022-10-13) coCondenser-msmarco — 64.71 (2022-10-13) MiniLM-L12-multilingual — 64.3 (2022-10-13) MiniLM-L12 — 63.21 (2022-10-13) MiniLM-L6 — 63.06 (2022-10-13) LaBSE — 62.71 (2022-10-13) SimCSE-BERT-unsup — 62.5 (2022-10-13) BERT — 61.66 (2022-10-13) SGPT-125M-nli — 61.46 (2022-10-13) SGPT-125M-msmarco — 60.72 (2022-10-13) Komninos — 57.65 (2022-10-13) Glove — 57.29 (2022-10-13) LASER2 — 53.65 (2022-10-13) SPECTER — 52.37 (2022-10-13) ST5-XXL — 73.42 (2022-10-13) ST5-XL — 72.84 (2022-10-13) ST5-Large — 72.31 (2022-10-13) Ada Similarity — 70.44 (2022-10-13) SGPT-5.8B-nli — 70.14 (2022-10-13) ST5-Base — 69.81 (2022-10-13) SGPT-5.8B-msmarco — 68.13 (2022-10-13) MPNet-multilingual — 67.91 (2022-10-13) GTR-XXL — 67.41 (2022-10-13) SimCSE-BERT-sup — 67.32 (2022-10-13) GTR-Large — 67.14 (2022-10-13) SGPT-2.7B-msmarco — 67.13 (2022-10-13) GTR-XL — 67.11 (2022-10-13) Contriever — 66.68 (2022-10-13) SGPT-1.3B-msmarco — 66.52 (2022-10-13) SGPT-BLOOM-7.1B-msmarco — 66.19 (2022-10-13) GTR-Base — 65.25 (2022-10-13) MPNet — 65.07 (2022-10-13) coCondenser-msmarco — 64.71 (2022-10-13) MiniLM-L12-multilingual — 64.3 (2022-10-13) MiniLM-L12 — 63.21 (2022-10-13) MiniLM-L6 — 63.06 (2022-10-13) LaBSE — 62.71 (2022-10-13) SimCSE-BERT-unsup — 62.5 (2022-10-13) BERT — 61.66 (2022-10-13) SGPT-125M-nli — 61.46 (2022-10-13) SGPT-125M-msmarco — 60.72 (2022-10-13) Komninos — 57.65 (2022-10-13) Glove — 57.29 (2022-10-13) LASER2 — 53.65 (2022-10-13) SPECTER — 52.37 (2022-10-13) ST5-XXL — 73.42 (2022-10-13)
RankModel Accuracy PaperCodeYear
1 ST5-XXL 73.42 MTEB: Massive Text Embedding Benchmark embeddings-benchmark/mteb · lyon-nlp/mteb-french · climsocana/tecb-de · +2 2022
2 ST5-XL 72.84 MTEB: Massive Text Embedding Benchmark embeddings-benchmark/mteb · lyon-nlp/mteb-french · climsocana/tecb-de · +2 2022
3 ST5-Large 72.31 MTEB: Massive Text Embedding Benchmark embeddings-benchmark/mteb · lyon-nlp/mteb-french · climsocana/tecb-de · +2 2022
4 Ada Similarity 70.44 MTEB: Massive Text Embedding Benchmark embeddings-benchmark/mteb · lyon-nlp/mteb-french · climsocana/tecb-de · +2 2022
5 SGPT-5.8B-nli 70.14 MTEB: Massive Text Embedding Benchmark embeddings-benchmark/mteb · lyon-nlp/mteb-french · climsocana/tecb-de · +2 2022
6 ST5-Base 69.81 MTEB: Massive Text Embedding Benchmark embeddings-benchmark/mteb · lyon-nlp/mteb-french · climsocana/tecb-de · +2 2022
7 SGPT-5.8B-msmarco 68.13 MTEB: Massive Text Embedding Benchmark embeddings-benchmark/mteb · lyon-nlp/mteb-french · climsocana/tecb-de · +2 2022
8 MPNet-multilingual 67.91 MTEB: Massive Text Embedding Benchmark embeddings-benchmark/mteb · lyon-nlp/mteb-french · climsocana/tecb-de · +2 2022
9 GTR-XXL 67.41 MTEB: Massive Text Embedding Benchmark embeddings-benchmark/mteb · lyon-nlp/mteb-french · climsocana/tecb-de · +2 2022
10 SimCSE-BERT-sup 67.32 MTEB: Massive Text Embedding Benchmark embeddings-benchmark/mteb · lyon-nlp/mteb-french · climsocana/tecb-de · +2 2022
11 GTR-Large 67.14 MTEB: Massive Text Embedding Benchmark embeddings-benchmark/mteb · lyon-nlp/mteb-french · climsocana/tecb-de · +2 2022
12 SGPT-2.7B-msmarco 67.13 MTEB: Massive Text Embedding Benchmark embeddings-benchmark/mteb · lyon-nlp/mteb-french · climsocana/tecb-de · +2 2022
13 GTR-XL 67.11 MTEB: Massive Text Embedding Benchmark embeddings-benchmark/mteb · lyon-nlp/mteb-french · climsocana/tecb-de · +2 2022
14 Contriever 66.68 MTEB: Massive Text Embedding Benchmark embeddings-benchmark/mteb · lyon-nlp/mteb-french · climsocana/tecb-de · +2 2022
15 SGPT-1.3B-msmarco 66.52 MTEB: Massive Text Embedding Benchmark embeddings-benchmark/mteb · lyon-nlp/mteb-french · climsocana/tecb-de · +2 2022
16 SGPT-BLOOM-7.1B-msmarco 66.19 MTEB: Massive Text Embedding Benchmark embeddings-benchmark/mteb · lyon-nlp/mteb-french · climsocana/tecb-de · +2 2022
17 GTR-Base 65.25 MTEB: Massive Text Embedding Benchmark embeddings-benchmark/mteb · lyon-nlp/mteb-french · climsocana/tecb-de · +2 2022
18 MPNet 65.07 MTEB: Massive Text Embedding Benchmark embeddings-benchmark/mteb · lyon-nlp/mteb-french · climsocana/tecb-de · +2 2022
19 coCondenser-msmarco 64.71 MTEB: Massive Text Embedding Benchmark embeddings-benchmark/mteb · lyon-nlp/mteb-french · climsocana/tecb-de · +2 2022
20 MiniLM-L12-multilingual 64.3 MTEB: Massive Text Embedding Benchmark embeddings-benchmark/mteb · lyon-nlp/mteb-french · climsocana/tecb-de · +2 2022
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