license: apache-2.0
Task-oriented finetuning for better embeddings on neural search
The text embedding suit trained by Jina AI, Finetuner team.
Intented Usage & Model Info
jina-embedding-s-en-v1 is a language model that has been trained using Jina AI's Linnaeus-Clean dataset.
This dataset consists of 380 million pairs of sentences, which include both query-document pairs.
These pairs were obtained from various domains and were carefully selected through a thorough cleaning process.
The Linnaeus-Full dataset, from which the Linnaeus-Clean dataset is derived, originally contained 1.6 billion sentence pairs.
The model has a range of use cases, including information retrieval, semantic textual similarity, text reranking, and more.
With a compact size of just 35 million parameters, the model enables lightning-fast inference while still delivering impressive performance. Additionally, we provide the following options:
- jina-embedding-b-en-v1: 110 million parameters.
- jina-embedding-l-en-v1: 800 million parameters.
- jina-embedding-xl-en-v1: 3 billion parameters.
- jina-embedding-xxl-en-v1: 11 billion parameters.
Data & Parameters
More info will be released together with the technique report.