Sentence Similarity
sentence-transformers
PyTorch
English
bert
feature-extraction
mteb
custom_code
Eval Results
text-embeddings-inference
6 papers
File size: 968 Bytes
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{
  "dataset_revision": null,
  "mteb_dataset_name": "NQ",
  "mteb_version": "1.1.0",
  "test": {
    "evaluation_time": 7686.43,
    "map_at_1": 0.15168,
    "map_at_10": 0.26177,
    "map_at_100": 0.27564,
    "map_at_1000": 0.27629,
    "map_at_3": 0.2203,
    "map_at_5": 0.24276,
    "mrr_at_1": 0.17439,
    "mrr_at_10": 0.28205,
    "mrr_at_100": 0.29357,
    "mrr_at_1000": 0.29408,
    "mrr_at_3": 0.24377,
    "mrr_at_5": 0.2654,
    "ndcg_at_1": 0.1741,
    "ndcg_at_10": 0.32936,
    "ndcg_at_100": 0.39197,
    "ndcg_at_1000": 0.40892,
    "ndcg_at_3": 0.24721,
    "ndcg_at_5": 0.28615,
    "precision_at_1": 0.1741,
    "precision_at_10": 0.06199,
    "precision_at_100": 0.00969,
    "precision_at_1000": 0.00113,
    "precision_at_3": 0.1179,
    "precision_at_5": 0.09264,
    "recall_at_1": 0.15168,
    "recall_at_10": 0.51914,
    "recall_at_100": 0.79804,
    "recall_at_1000": 0.9276,
    "recall_at_3": 0.30212,
    "recall_at_5": 0.39204
  }
}