Update README.md
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README.md
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- sentence-similarity
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- mteb
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model-index:
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- name:
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results:
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- task:
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type: Clustering
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value: 32.146
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- type: recall_at_5
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value: 39.762
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- task:
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type: PairClassification
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dataset:
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- type: recall_at_5
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value: 66.08800000000001
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---
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-
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# {MODEL_NAME}
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- sentence-similarity
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- mteb
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model-index:
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- name: sentence_croissant_v7
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results:
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- task:
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type: Clustering
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value: 32.146
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- type: recall_at_5
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value: 39.762
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- task:
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type: PairClassification
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dataset:
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type: GEM/opusparcus
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name: MTEB OpusparcusPC (fr)
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config: fr
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split: test
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revision: 9e9b1f8ef51616073f47f306f7f47dd91663f86a
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metrics:
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- type: cos_sim_accuracy
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value: 84.40054495912807
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- type: cos_sim_ap
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value: 93.71617772707746
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- type: cos_sim_f1
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value: 89.00624099855978
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- type: cos_sim_precision
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value: 86.15241635687732
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- type: cos_sim_recall
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value: 92.05561072492551
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- type: dot_accuracy
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value: 82.35694822888283
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- type: dot_ap
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value: 92.22992449042768
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- type: dot_f1
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value: 87.84786641929499
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- type: dot_precision
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value: 82.4194952132289
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- type: dot_recall
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value: 94.04170804369414
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- type: euclidean_accuracy
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value: 82.90190735694823
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- type: euclidean_ap
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value: 93.27345126956494
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- type: euclidean_f1
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value: 87.82608695652175
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- type: euclidean_precision
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value: 85.51269990592662
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- type: euclidean_recall
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value: 90.26812313803376
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- type: manhattan_accuracy
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value: 82.9700272479564
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- type: manhattan_ap
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value: 93.34994137379041
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- type: manhattan_f1
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value: 87.776708373436
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- type: manhattan_precision
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value: 85.15406162464986
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- type: manhattan_recall
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value: 90.56603773584906
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- type: max_accuracy
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value: 84.40054495912807
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- type: max_ap
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value: 93.71617772707746
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- type: max_f1
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value: 89.00624099855978
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- task:
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type: PairClassification
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dataset:
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- type: recall_at_5
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value: 66.08800000000001
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---
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# {MODEL_NAME}
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