b1ade
Collection
SLMs for RAG
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5 items
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Updated
To use this model:
from transformers import AutoTokenizer, AutoModel
tokenizer = AutoTokenizer.from_pretrained("w601sxs/b1ade-embed")
b1ade-embed is part of a collection of small models for RAG.
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Evaluation results
- accuracy on MTEB AmazonCounterfactualClassification (en)test set self-reported75.179
- ap on MTEB AmazonCounterfactualClassification (en)test set self-reported37.939
- f1 on MTEB AmazonCounterfactualClassification (en)test set self-reported69.081
- accuracy on MTEB AmazonPolarityClassificationtest set self-reported93.073
- ap on MTEB AmazonPolarityClassificationtest set self-reported89.999
- f1 on MTEB AmazonPolarityClassificationtest set self-reported93.061
- accuracy on MTEB AmazonReviewsClassification (en)test set self-reported48.424
- f1 on MTEB AmazonReviewsClassification (en)test set self-reported47.954
- map_at_1 on MTEB ArguAnatest set self-reported41.394
- map_at_10 on MTEB ArguAnatest set self-reported57.869