Model	Mean Score
OrdalieTech/Solon-embeddings-large-0.1	0.7490
cohere/embed-multilingual-v3	0.7402
OrdalieTech/Solon-embeddings-base-0.1	0.7306
openai/ada-002	0.7290
cohere/embed-multilingual-light-v3	0.6945
antoinelouis/biencoder-camembert-base-mmarcoFR	0.6826
dangvantuan/sentence-camembert-large	0.6756
voyage/voyage-01	0.6753
intfloat/multilingual-e5-large	0.6660
intfloat/multilingual-e5-base	0.6597
Sbert/paraphrase-multilingual-mpnet-base-v2	0.5975
dangvantuan/sentence-camembert-base	0.5456
EuropeanParliament/eubert_embedding_v1	0.5063

These results have been obtained through 9 french benchmarks on a variety of text similarity tasks (classification, reranking, STS) :

We created OrdalieFRSTS and OrdalieFRReranking to enhance the benchmarking capabilities of French STS and reranking assessments.

(evaluation script available here : github.com/OrdalieTech/mteb)

OrdalieTech/Solon-embeddings-large-0.1

Solon Embeddings — large 0.1