Sentence Similarity
sentence-transformers
PyTorch
English
bert
feature-extraction
mteb
custom_code
Eval Results
text-embeddings-inference
6 papers
File size: 978 Bytes
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{
  "dataset_revision": null,
  "dev": {
    "evaluation_time": 19626.59,
    "map_at_1": 0.11174,
    "map_at_10": 0.19452,
    "map_at_100": 0.20612,
    "map_at_1000": 0.20703,
    "map_at_3": 0.16444,
    "map_at_5": 0.18083,
    "mrr_at_1": 0.11447,
    "mrr_at_10": 0.19808,
    "mrr_at_100": 0.20958,
    "mrr_at_1000": 0.21042,
    "mrr_at_3": 0.16791,
    "mrr_at_5": 0.18459,
    "ndcg_at_1": 0.11447,
    "ndcg_at_10": 0.24556,
    "ndcg_at_100": 0.30638,
    "ndcg_at_1000": 0.3314,
    "ndcg_at_3": 0.18325,
    "ndcg_at_5": 0.21278,
    "precision_at_1": 0.11447,
    "precision_at_10": 0.04215,
    "precision_at_100": 0.00732,
    "precision_at_1000": 0.00095,
    "precision_at_3": 0.08052,
    "precision_at_5": 0.06318,
    "recall_at_1": 0.11174,
    "recall_at_10": 0.40543,
    "recall_at_100": 0.69699,
    "recall_at_1000": 0.89403,
    "recall_at_3": 0.23442,
    "recall_at_5": 0.30536
  },
  "mteb_dataset_name": "MSMARCO",
  "mteb_version": "1.1.0"
}