FAE

This is a sentence transformer model based on e5-large-v2.

Usage

from sentence_transformers import SentenceTransformer
sentences = ["This is an example sentence", "Each sentence is encoded"]

model = SentenceTransformer('FAE')
embeddings = model.encode(sentences)
print(embeddings)

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Safetensors

Model size

335M params

Tensor type

F32

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Model tree for qinxianliu/FAE-v1

Quantizations

1 model

Evaluation results

main_score on MTEB ArguAna (default)
test set self-reported

46.744
map_at_1 on MTEB ArguAna (default)
test set self-reported

22.404
map_at_10 on MTEB ArguAna (default)
test set self-reported

37.445
map_at_100 on MTEB ArguAna (default)
test set self-reported

38.608
map_at_1000 on MTEB ArguAna (default)
test set self-reported

38.617
map_at_20 on MTEB ArguAna (default)
test set self-reported

38.337
map_at_3 on MTEB ArguAna (default)
test set self-reported

32.112
map_at_5 on MTEB ArguAna (default)
test set self-reported

34.815
mrr_at_1 on MTEB ArguAna (default)
test set self-reported

22.902
mrr_at_10 on MTEB ArguAna (default)
test set self-reported

37.615

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