From b28e2f2a9baa5fa3946fe86df516630367fb6bb4 Mon Sep 17 00:00:00 2001 From: Pringled Date: Mon, 11 Nov 2024 17:56:01 +0100 Subject: [PATCH] Updated readme --- results/README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/results/README.md b/results/README.md index 6837009..2351288 100644 --- a/results/README.md +++ b/results/README.md @@ -37,7 +37,7 @@ For readability, the MTEB task names are abbreviated as follows: The figure below shows the relationship between the number of sentences per second and the average MTEB score. The circle sizes correspond to the number of parameters in the models (larger = more parameters). -This plot shows that the Model2Vec models are much faster than the other models, while still being competitive in terms of performance with the [all-MiniLM-L6-v2](https://huggingface.co/sentence-transformers/all-MiniLM-L6-v2) model. +This plot shows that the potion and M2V models are much faster than the other models, while still being competitive in terms of performance with the [all-MiniLM-L6-v2](https://huggingface.co/sentence-transformers/all-MiniLM-L6-v2) model. | ![Description](../assets/images/speed_vs_mteb_score_v2.png) | |:--:|