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OrdalieTech/Solon-embeddings-large-0.1
Solon-embeddings-large-0.1 is a feature extraction model from OrdalieTech. Use it when you need embeddings to search or compare text. It is set up for transformers. The card lists the license as mit.
SOTA Open source french embedding model.
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From the Hugging Face model README
SOTA Open source french embedding model.
Instructions :
Add "query : " before the query to retrieve to increase performance of retrieval.
No instructions needed for passages.
| 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)