E5 large trm nl This model is a fine tuned version of clips/e5 large trm. Usage Below is an example to encode queries and passages from the MS MARCO passage ranking dataset. Below is an example for usage with sentence transformers. Benchmark Evaluation Results on MTEB NL (models introduced in our paper and the best model per size category are highlighted in bold): Model Prm Cls MLCls PCls Rrnk Rtr Clust STS AvgD AvgT Num. Datasets (→) 12 3 2 1 12 8 2 40 Supervised (small, 305M) e5 large v2 t2t 335M 55.7 41.4 75.7 86.6 49.9 25.5 74.0 49.5 58.4 e5 large v2 t2t nl 335M 57.3 42.4 76.9 86.9 50.8 27.7 74.1 51.7 59.4 RobBERT 2023 large ft 355M 59.3 45.2 68.7 82.3 48.3 31.6 70.6 51.0 58.0 e5 large trm 355M 60.2 45.4 80.3 90.3 59.0 28.7 78.8 55.1 63.3 e5 large trm nl 355M 62.2 48.0 81.4 87.2 58.2 35.6 78.2 57.0 64.4 multilingual e5 large 560M 60.2 45.4 80.3 90.3 59.1 29.5 78.8 55.3 63.4 Arctic embed l v2.0 568M 59.3 45.2 74.2 88.2 59.0 29.8 71.7 54.3 61.1 bge m3 568M 60.7 44.2 78.3 88.7 60.0 29.2 78.1 55.4 63.1 jina embeddings v3 572M 61.7 38.9 76.8 78.5 59.1 38.9 84.8 57.0 62.7 Citation Information If you find our paper, benchmark or models helpful, please consider cite as follows: [//]: (…
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