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bert-tiny-stage2-sbert

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bert-tiny-stage2-sbert
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{
  "model_path": "outputs/bert-tiny-stage2-sbert",
  "dataset": "another-symato/VMTEB-Zalo-legel-retrieval-wseg",
  "eval_split": "train",
  "results": [
    {
      "truncate_dim": 384,
      "cosine_accuracy@1": 0.20344287949921752,
      "cosine_accuracy@3": 0.34076682316118934,
      "cosine_accuracy@5": 0.4182316118935837,
      "cosine_accuracy@10": 0.5246478873239436,
      "cosine_precision@1": 0.20344287949921752,
      "cosine_precision@3": 0.11358894105373016,
      "cosine_precision@5": 0.08364632237871533,
      "cosine_precision@10": 0.05246478873239306,
      "cosine_recall@1": 0.20344287949921752,
      "cosine_recall@3": 0.34076682316118934,
      "cosine_recall@5": 0.4182316118935837,
      "cosine_recall@10": 0.5246478873239436,
      "cosine_ndcg@3": 0.28296443965459644,
      "cosine_ndcg@5": 0.31498936372857955,
      "cosine_ndcg@10": 0.34952346401058043,
      "cosine_mrr@3": 0.263041210224309,
      "cosine_mrr@5": 0.2808815858111636,
      "cosine_mrr@10": 0.2952013003949625,
      "cosine_map@100": 0.30558138488387787
    },
    {
      "truncate_dim": 256,
      "cosine_accuracy@1": 0.1936619718309859,
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      "cosine_map@100": 0.2966242956740067
    },
    {
      "truncate_dim": 128,
      "cosine_accuracy@1": 0.17566510172143976,
      "cosine_accuracy@3": 0.3212050078247261,
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      "cosine_accuracy@10": 0.4823943661971831,
      "cosine_precision@1": 0.17566510172143976,
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      "cosine_precision@10": 0.04823943661971724,
      "cosine_recall@1": 0.17566510172143976,
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      "cosine_recall@5": 0.39123630672926446,
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      "cosine_ndcg@3": 0.25980688782975864,
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      "cosine_ndcg@10": 0.3182168056871434,
      "cosine_mrr@3": 0.2386541471048512,
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      "cosine_map@100": 0.2779128681223102
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    {
      "truncate_dim": 64,
      "cosine_accuracy@1": 0.14241001564945227,
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      "cosine_accuracy@10": 0.4428794992175274,
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      "cosine_mrr@3": 0.19731351069379194,
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      "cosine_map@100": 0.23812275569660138
    }
  ]
}