Why can't I find a better model?
I regularly use vector embeddings in my work, especially for sentence similarity tasks (vector search using cosine) and classification tasks (logistic regression/ NN on embeddings). When I started two years ago, the best model I found was ‘Sahajtomar/french_semantic’ that barely has a 100 downloads.Every 6 months i check the new SOTA models for sentence similarity and they always perform significantly worse than this one. I am doing something wrong ? I am using every model “out of the box” and I have a neutral benchmark to test my use cases.It seems weird that i haven’t found a model that perform at least on a similar level …
2024-04-25T17:40:24Z
I think the reason could be that there are fewer models trained for the French language.