BeastyZ
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e5-R-mistral-7b

Text Generation

Eval Results (legacy)

text-generation-inference

Model card Files Files and versions

Model Card for e5-R-mistral-7b

Model Description

e5-R-mistral-7b is a LLM retriever fine-tuned from mistralai/Mistral-7B-v0.1.

Model type: CausalLM
Repository: Welcome to our GitHub repository to obtain code
Training dataset: Dataset used for fine-tuning e5-R-mistral-7b is available here.

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Safetensors

Model size

7B params

Tensor type

F32

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Quantizations

Dataset used to train BeastyZ/e5-R-mistral-7b

Spaces using BeastyZ/e5-R-mistral-7b 11

Evaluation results

map_at_1 on MTEB ArguAna
test set self-reported

33.570
map_at_10 on MTEB ArguAna
test set self-reported

49.952
map_at_100 on MTEB ArguAna
test set self-reported

50.673
map_at_1000 on MTEB ArguAna
test set self-reported

50.674
map_at_3 on MTEB ArguAna
test set self-reported

44.915
map_at_5 on MTEB ArguAna
test set self-reported

47.877
mrr_at_1 on MTEB ArguAna
test set self-reported

34.211
mrr_at_10 on MTEB ArguAna
test set self-reported

50.190
mrr_at_100 on MTEB ArguAna
test set self-reported

50.905
mrr_at_1000 on MTEB ArguAna
test set self-reported

50.906
mrr_at_3 on MTEB ArguAna
test set self-reported

45.128
mrr_at_5 on MTEB ArguAna
test set self-reported

48.097
ndcg_at_1 on MTEB ArguAna
test set self-reported

33.570
ndcg_at_10 on MTEB ArguAna
test set self-reported

58.994
ndcg_at_100 on MTEB ArguAna
test set self-reported

61.806
ndcg_at_1000 on MTEB ArguAna
test set self-reported

61.825
ndcg_at_3 on MTEB ArguAna
test set self-reported

48.681
ndcg_at_5 on MTEB ArguAna
test set self-reported

54.001
precision_at_1 on MTEB ArguAna
test set self-reported

33.570
precision_at_10 on MTEB ArguAna
test set self-reported

8.784