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README.md
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---
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tags:
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- mteb
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model-index:
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- name: gte-large
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results:
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- task:
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type: Classification
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- type: precision_at_3
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value: 27.444000000000003
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- type: precision_at_5
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value: 18
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- type: recall_at_1
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value: 59.511
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- type: recall_at_10
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- type: recall_at_100
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value: 96.5
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- type: recall_at_1000
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value: 100
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- type: recall_at_3
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value: 75.2
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- type: recall_at_5
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- type: map_at_5
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value: 0.938
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- type: mrr_at_1
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value: 74
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- type: mrr_at_10
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value: 85.833
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- type: mrr_at_100
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- type: mrr_at_5
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value: 85.833
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- type: ndcg_at_1
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value: 69
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- type: ndcg_at_10
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value: 70.22
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- type: ndcg_at_100
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- type: ndcg_at_5
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value: 71.184
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- type: precision_at_1
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value: 74
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- type: precision_at_10
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value: 75.2
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- type: precision_at_100
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language:
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- en
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license: mit
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---
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# gte-large
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### Limitation
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This model exclusively caters to English texts, and any lengthy texts will be truncated to a maximum of 512 tokens.
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---
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tags:
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- mteb
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- sentence-similarity
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- sentence-transformers
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model-index:
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- name: gte-large
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results:
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- task:
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type: Classification
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- type: precision_at_3
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value: 27.444000000000003
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- type: precision_at_5
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value: 18
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- type: recall_at_1
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value: 59.511
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- type: recall_at_10
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- type: recall_at_100
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value: 96.5
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- type: recall_at_1000
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value: 100
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- type: recall_at_3
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value: 75.2
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- type: recall_at_5
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- type: map_at_5
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value: 0.938
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- type: mrr_at_1
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value: 74
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- type: mrr_at_10
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value: 85.833
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- type: mrr_at_100
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- type: mrr_at_5
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value: 85.833
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- type: ndcg_at_1
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value: 69
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- type: ndcg_at_10
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value: 70.22
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- type: ndcg_at_100
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- type: ndcg_at_5
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value: 71.184
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- type: precision_at_1
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value: 74
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- type: precision_at_10
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value: 75.2
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- type: precision_at_100
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language:
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- en
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license: mit
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datasets:
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- BeIR/beir
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- mteb/results
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---
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# gte-large
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### Limitation
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This model exclusively caters to English texts, and any lengthy texts will be truncated to a maximum of 512 tokens.
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