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Mihaiii
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Wartortle

Sentence Similarity
sentence-transformers
ONNX
Safetensors
bert
feature-extraction
bge
mteb
Eval Results
Inference Endpoints
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Wartortle

Wartortle is a distill of bge-base-en-v1.5.

Intended purpose

This model is designed for use in semantic-autocomplete (click here for demo). Make sure you also pass pipelineParams={{ pooling: "cls", normalize: true }} since the default pooling in the component is mean.

Usage

Other than within semantic-autocomplete, you can use this model same as bge-base-en-v1.5.

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Model size
17.4M params
Tensor type
F32
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Dataset used to train Mihaiii/Wartortle

Collection including Mihaiii/Wartortle

Evaluation results

  • accuracy on MTEB AmazonCounterfactualClassification (en)
    test set self-reported
    70.403
  • ap on MTEB AmazonCounterfactualClassification (en)
    test set self-reported
    32.890
  • f1 on MTEB AmazonCounterfactualClassification (en)
    test set self-reported
    64.373
  • accuracy on MTEB AmazonPolarityClassification
    test set self-reported
    82.038
  • ap on MTEB AmazonPolarityClassification
    test set self-reported
    77.155
  • f1 on MTEB AmazonPolarityClassification
    test set self-reported
    81.977
  • accuracy on MTEB AmazonReviewsClassification (en)
    test set self-reported
    42.412
  • f1 on MTEB AmazonReviewsClassification (en)
    test set self-reported
    41.040
  • map_at_1 on MTEB ArguAna
    test set self-reported
    16.003
  • map_at_10 on MTEB ArguAna
    test set self-reported
    28.448
  • map_at_100 on MTEB ArguAna
    test set self-reported
    29.782
  • map_at_1000 on MTEB ArguAna
    test set self-reported
    29.822
  • map_at_20 on MTEB ArguAna
    test set self-reported
    29.278
  • map_at_3 on MTEB ArguAna
    test set self-reported
    23.874
  • map_at_5 on MTEB ArguAna
    test set self-reported
    26.491
  • mrr_at_1 on MTEB ArguAna
    test set self-reported
    16.714
  • mrr_at_10 on MTEB ArguAna
    test set self-reported
    28.728
  • mrr_at_100 on MTEB ArguAna
    test set self-reported
    30.055
  • mrr_at_1000 on MTEB ArguAna
    test set self-reported
    30.095
  • mrr_at_20 on MTEB ArguAna
    test set self-reported
    29.558
  • mrr_at_3 on MTEB ArguAna
    test set self-reported
    24.194
  • mrr_at_5 on MTEB ArguAna
    test set self-reported
    26.779
  • ndcg_at_1 on MTEB ArguAna
    test set self-reported
    16.003
  • ndcg_at_10 on MTEB ArguAna
    test set self-reported
    35.865
  • ndcg_at_100 on MTEB ArguAna
    test set self-reported
    42.304
  • ndcg_at_1000 on MTEB ArguAna
    test set self-reported
    43.333
  • ndcg_at_20 on MTEB ArguAna
    test set self-reported
    38.876
  • ndcg_at_3 on MTEB ArguAna
    test set self-reported
    26.437
  • ndcg_at_5 on MTEB ArguAna
    test set self-reported
    31.139
  • precision_at_1 on MTEB ArguAna
    test set self-reported
    16.003
  • precision_at_10 on MTEB ArguAna
    test set self-reported
    5.982
  • precision_at_100 on MTEB ArguAna
    test set self-reported
    0.898
  • precision_at_1000 on MTEB ArguAna
    test set self-reported
    0.098
  • precision_at_20 on MTEB ArguAna
    test set self-reported
    3.585
  • precision_at_3 on MTEB ArguAna
    test set self-reported
    11.285
  • precision_at_5 on MTEB ArguAna
    test set self-reported
    9.047
  • recall_at_1 on MTEB ArguAna
    test set self-reported
    16.003
  • recall_at_10 on MTEB ArguAna
    test set self-reported
    59.815
  • recall_at_100 on MTEB ArguAna
    test set self-reported
    89.758
  • recall_at_1000 on MTEB ArguAna
    test set self-reported
    97.795
  • recall_at_20 on MTEB ArguAna
    test set self-reported
    71.693
  • recall_at_3 on MTEB ArguAna
    test set self-reported
    33.855
  • recall_at_5 on MTEB ArguAna
    test set self-reported
    45.235
  • v_measure on MTEB ArxivClusteringP2P
    test set self-reported
    35.844
  • v_measures on MTEB ArxivClusteringP2P
    test set self-reported
    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  • v_measure on MTEB ArxivClusteringS2S
    test set self-reported
    27.301
  • v_measures on MTEB ArxivClusteringS2S
    test set self-reported
    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  • map on MTEB AskUbuntuDupQuestions
    test set self-reported
    54.089
  • mrr on MTEB AskUbuntuDupQuestions
    test set self-reported
    67.739
  • cos_sim_pearson on MTEB BIOSSES
    test set self-reported
    78.952
  • cos_sim_spearman on MTEB BIOSSES
    test set self-reported
    80.779
  • euclidean_pearson on MTEB BIOSSES
    test set self-reported
    79.391
  • euclidean_spearman on MTEB BIOSSES
    test set self-reported
    80.779
  • manhattan_pearson on MTEB BIOSSES
    test set self-reported
    78.714
  • manhattan_spearman on MTEB BIOSSES
    test set self-reported
    80.195
  • accuracy on MTEB Banking77Classification
    test set self-reported
    71.075
  • f1 on MTEB Banking77Classification
    test set self-reported
    70.019
  • v_measure on MTEB BiorxivClusteringP2P
    test set self-reported
    32.351
  • v_measures on MTEB BiorxivClusteringP2P
    test set self-reported
    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