Update README.md
Browse files
README.md
CHANGED
@@ -40,417 +40,417 @@ model-index:
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- task:
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type: Retrieval
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dataset:
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-
type:
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name: MTEB CmedqaRetrieval
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config: default
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split: dev
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revision: None
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metrics:
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- type: map_at_1
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-
value:
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- type: map_at_10
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-
value:
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- type: map_at_100
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-
value:
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- type: map_at_1000
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-
value:
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- type: map_at_3
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-
value:
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- type: map_at_5
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-
value:
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- type: mrr_at_1
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-
value:
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- type: mrr_at_10
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-
value:
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- type: mrr_at_100
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-
value:
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- type: mrr_at_1000
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-
value:
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- type: mrr_at_3
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-
value:
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- type: mrr_at_5
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-
value:
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- type: ndcg_at_1
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-
value:
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- type: ndcg_at_10
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-
value:
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- type: ndcg_at_100
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-
value:
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- type: ndcg_at_1000
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-
value:
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- type: ndcg_at_3
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-
value:
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- type: ndcg_at_5
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-
value:
|
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- type: precision_at_1
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-
value:
|
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- type: precision_at_10
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-
value:
|
89 |
- type: precision_at_100
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-
value: 1.
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- type: precision_at_1000
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-
value: 0.
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- type: precision_at_3
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-
value:
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- type: precision_at_5
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-
value:
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- type: recall_at_1
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-
value:
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- type: recall_at_10
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-
value:
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- type: recall_at_100
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-
value:
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- type: recall_at_1000
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-
value:
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- type: recall_at_3
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-
value:
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- type: recall_at_5
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-
value:
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- task:
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type: Retrieval
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dataset:
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-
type:
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name: MTEB CovidRetrieval
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config: default
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split: dev
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revision: None
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metrics:
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- type: map_at_1
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-
value: 70.
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- type: map_at_10
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-
value:
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- type: map_at_100
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-
value: 79.
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- type: map_at_1000
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-
value: 79.
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- type: map_at_3
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-
value: 77.
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- type: map_at_5
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-
value: 78.
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- type: mrr_at_1
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-
value:
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- type: mrr_at_10
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-
value: 79.
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- type: mrr_at_100
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-
value: 79.
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- type: mrr_at_1000
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-
value: 79.
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- type: mrr_at_3
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-
value: 77.
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- type: mrr_at_5
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-
value: 78.
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- type: ndcg_at_1
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-
value: 70.
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- type: ndcg_at_10
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-
value: 82.
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- type: ndcg_at_100
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-
value:
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- type: ndcg_at_1000
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-
value:
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- type: ndcg_at_3
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-
value: 79.
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- type: ndcg_at_5
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-
value: 81.
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- type: precision_at_1
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-
value: 70.
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- type: precision_at_10
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-
value: 9.
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- type: precision_at_100
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-
value: 0.
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- type: precision_at_1000
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value: 0.101
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- type: precision_at_3
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-
value: 28.
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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: 70.
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- type: recall_at_10
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-
value: 93.
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- type: recall_at_100
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-
value: 98.
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- type: recall_at_1000
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-
value:
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- type: recall_at_3
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-
value: 86.
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- type: recall_at_5
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-
value: 89.
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- task:
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type: Retrieval
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dataset:
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-
type:
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name: MTEB DuRetrieval
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config: default
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split: dev
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revision: None
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metrics:
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- type: map_at_1
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-
value: 26.
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- type: map_at_10
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-
value:
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- type: map_at_100
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-
value:
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- type: map_at_1000
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-
value:
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- type: map_at_3
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-
value:
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- type: map_at_5
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-
value:
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- type: mrr_at_1
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-
value:
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- type: mrr_at_10
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-
value: 93.
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- type: mrr_at_100
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-
value: 93.
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- type: mrr_at_1000
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-
value: 93.
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- type: mrr_at_3
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-
value:
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- type: mrr_at_5
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-
value: 93.
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- type: ndcg_at_1
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-
value:
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- type: ndcg_at_10
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-
value:
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- type: ndcg_at_100
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-
value: 90.
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- type: ndcg_at_1000
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-
value:
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- type: ndcg_at_3
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-
value:
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- type: ndcg_at_5
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-
value:
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- type: precision_at_1
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-
value:
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- type: precision_at_10
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-
value: 42.
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- type: precision_at_100
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-
value: 4.
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- type: precision_at_1000
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value: 0.48900000000000005
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- type: precision_at_3
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-
value:
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- type: precision_at_5
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-
value:
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- type: recall_at_1
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-
value: 26.
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- type: recall_at_10
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-
value: 89.
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- type: recall_at_100
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-
value: 97.
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- type: recall_at_1000
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-
value: 99.
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- type: recall_at_3
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-
value:
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- type: recall_at_5
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-
value:
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- task:
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type: Retrieval
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dataset:
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-
type:
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name: MTEB EcomRetrieval
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config: default
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split: dev
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revision: None
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metrics:
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- type: map_at_1
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-
value:
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- type: map_at_10
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-
value:
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- type: map_at_100
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-
value:
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- type: map_at_1000
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-
value:
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- type: map_at_3
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-
value:
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- type: map_at_5
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-
value:
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- type: mrr_at_1
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-
value:
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- type: mrr_at_10
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-
value:
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- type: mrr_at_100
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-
value:
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- type: mrr_at_1000
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-
value:
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- type: mrr_at_3
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-
value:
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- type: mrr_at_5
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-
value:
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- type: ndcg_at_1
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-
value:
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- type: ndcg_at_10
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-
value:
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- type: ndcg_at_100
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-
value:
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- type: ndcg_at_1000
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-
value:
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- type: ndcg_at_3
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-
value:
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- type: ndcg_at_5
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-
value:
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- type: precision_at_1
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-
value:
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- type: precision_at_10
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-
value: 8.
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- type: precision_at_100
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-
value: 0.
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- type: precision_at_1000
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value: 0.097
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- type: precision_at_3
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-
value:
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- type: precision_at_5
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-
value:
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- type: recall_at_1
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-
value:
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- type: recall_at_10
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-
value: 82.
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- type: recall_at_100
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-
value: 94.
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- type: recall_at_1000
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value: 97.0
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- type: recall_at_3
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-
value:
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- type: recall_at_5
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-
value:
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- task:
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type: Retrieval
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dataset:
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-
type:
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name: MTEB MMarcoRetrieval
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config: default
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split: dev
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revision: None
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metrics:
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- type: map_at_1
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-
value:
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- type: map_at_10
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-
value:
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- type: map_at_100
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-
value:
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- type: map_at_1000
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-
value:
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- type: map_at_3
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-
value:
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- type: map_at_5
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-
value:
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- type: mrr_at_1
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-
value: 73.
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- type: mrr_at_10
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-
value:
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- type: mrr_at_100
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-
value: 80.
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- type: mrr_at_1000
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-
value: 80.
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- type: mrr_at_3
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-
value:
|
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- type: mrr_at_5
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-
value:
|
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- type: ndcg_at_1
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-
value: 73.
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- type: ndcg_at_10
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-
value:
|
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- type: ndcg_at_100
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-
value:
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- type: ndcg_at_1000
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-
value:
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- type: ndcg_at_3
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-
value:
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- type: ndcg_at_5
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-
value:
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- type: precision_at_1
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-
value: 73.
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- type: precision_at_10
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-
value: 9.
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- type: precision_at_100
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-
value: 1.
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- type: precision_at_1000
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value: 0.106
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- type: precision_at_3
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-
value:
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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:
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- type: recall_at_10
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-
value: 92.
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- type: recall_at_100
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-
value: 97.
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- type: recall_at_1000
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-
value:
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- type: recall_at_3
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-
value:
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- type: recall_at_5
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-
value:
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- task:
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type: Retrieval
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dataset:
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-
type:
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name: MTEB MedicalRetrieval
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config: default
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split: dev
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revision: None
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metrics:
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- type: map_at_1
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-
value:
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- type: map_at_10
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-
value:
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- type: map_at_100
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-
value:
|
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- type: map_at_1000
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-
value:
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- type: map_at_3
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-
value:
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- type: map_at_5
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-
value:
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- type: mrr_at_1
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-
value:
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- type: mrr_at_10
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-
value:
|
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- type: mrr_at_100
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-
value:
|
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- type: mrr_at_1000
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-
value: 59.
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- type: mrr_at_3
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-
value:
|
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- type: mrr_at_5
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-
value:
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- type: ndcg_at_1
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-
value:
|
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- type: ndcg_at_10
|
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-
value:
|
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- type: ndcg_at_100
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-
value:
|
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- type: ndcg_at_1000
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-
value:
|
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- type: ndcg_at_3
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-
value:
|
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- type: ndcg_at_5
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-
value:
|
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- type: precision_at_1
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-
value:
|
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- type: precision_at_10
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-
value: 6.
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- type: precision_at_100
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-
value: 0.
|
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- type: precision_at_1000
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value: 0.096
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- type: precision_at_3
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-
value:
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- type: precision_at_5
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-
value:
|
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- type: recall_at_1
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-
value:
|
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- type: recall_at_10
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-
value: 69.
|
446 |
- type: recall_at_100
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-
value:
|
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- type: recall_at_1000
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-
value:
|
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- type: recall_at_3
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-
value:
|
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- type: recall_at_5
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-
value:
|
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- task:
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type: Reranking
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dataset:
|
@@ -480,141 +480,141 @@ model-index:
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- task:
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type: Retrieval
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dataset:
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-
type:
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name: MTEB T2Retrieval
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config: default
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split: dev
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revision: None
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metrics:
|
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- type: map_at_1
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-
value:
|
491 |
- type: map_at_10
|
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-
value:
|
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- type: map_at_100
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-
value:
|
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- type: map_at_1000
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-
value:
|
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- type: map_at_3
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-
value:
|
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- type: map_at_5
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-
value:
|
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- type: mrr_at_1
|
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-
value:
|
503 |
- type: mrr_at_10
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504 |
-
value: 93.
|
505 |
- type: mrr_at_100
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-
value: 93.
|
507 |
- type: mrr_at_1000
|
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-
value: 93.
|
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- type: mrr_at_3
|
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-
value:
|
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- type: mrr_at_5
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-
value: 93.
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- type: ndcg_at_1
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-
value:
|
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- type: ndcg_at_10
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-
value:
|
517 |
- type: ndcg_at_100
|
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-
value:
|
519 |
- type: ndcg_at_1000
|
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-
value: 90.
|
521 |
- type: ndcg_at_3
|
522 |
-
value:
|
523 |
- type: ndcg_at_5
|
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-
value: 86.
|
525 |
- type: precision_at_1
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-
value:
|
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- type: precision_at_10
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-
value: 43.
|
529 |
- type: precision_at_100
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-
value: 5.
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- type: precision_at_1000
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value: 0.518
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533 |
- type: precision_at_3
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-
value:
|
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- type: precision_at_5
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-
value: 64.
|
537 |
- type: recall_at_1
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-
value:
|
539 |
- type: recall_at_10
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540 |
-
value: 85.
|
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- type: recall_at_100
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-
value: 96.
|
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- type: recall_at_1000
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-
value: 98.
|
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- type: recall_at_3
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-
value:
|
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- type: recall_at_5
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-
value:
|
549 |
- task:
|
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type: Retrieval
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dataset:
|
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-
type:
|
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name: MTEB VideoRetrieval
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config: default
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split: dev
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revision: None
|
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metrics:
|
558 |
- type: map_at_1
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559 |
-
value: 64.
|
560 |
- type: map_at_10
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561 |
-
value: 73.
|
562 |
- type: map_at_100
|
563 |
-
value:
|
564 |
- type: map_at_1000
|
565 |
-
value:
|
566 |
- type: map_at_3
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-
value: 72.
|
568 |
- type: map_at_5
|
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-
value: 73.
|
570 |
- type: mrr_at_1
|
571 |
-
value: 64.
|
572 |
- type: mrr_at_10
|
573 |
-
value: 73.
|
574 |
- type: mrr_at_100
|
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-
value:
|
576 |
- type: mrr_at_1000
|
577 |
-
value:
|
578 |
- type: mrr_at_3
|
579 |
-
value: 72.
|
580 |
- type: mrr_at_5
|
581 |
-
value: 73.
|
582 |
- type: ndcg_at_1
|
583 |
-
value: 64.
|
584 |
- type: ndcg_at_10
|
585 |
-
value: 77.
|
586 |
- type: ndcg_at_100
|
587 |
-
value: 79.
|
588 |
- type: ndcg_at_1000
|
589 |
-
value: 79.
|
590 |
- type: ndcg_at_3
|
591 |
-
value: 74.
|
592 |
- type: ndcg_at_5
|
593 |
-
value: 76.
|
594 |
- type: precision_at_1
|
595 |
-
value: 64.
|
596 |
- type: precision_at_10
|
597 |
-
value: 8.
|
598 |
- type: precision_at_100
|
599 |
-
value: 0.
|
600 |
- type: precision_at_1000
|
601 |
value: 0.099
|
602 |
- type: precision_at_3
|
603 |
-
value:
|
604 |
- type: precision_at_5
|
605 |
-
value: 17.
|
606 |
- type: recall_at_1
|
607 |
-
value: 64.
|
608 |
- type: recall_at_10
|
609 |
-
value: 89.
|
610 |
- type: recall_at_100
|
611 |
-
value: 97.
|
612 |
- type: recall_at_1000
|
613 |
-
value: 99.
|
614 |
- type: recall_at_3
|
615 |
-
value:
|
616 |
- type: recall_at_5
|
617 |
-
value: 85.
|
618 |
---
|
619 |
license: apache-2.0
|
620 |
library_name: transformers
|
|
|
40 |
- task:
|
41 |
type: Retrieval
|
42 |
dataset:
|
43 |
+
type: C_MTEB/CmedqaRetrieval
|
44 |
name: MTEB CmedqaRetrieval
|
45 |
config: default
|
46 |
split: dev
|
47 |
revision: None
|
48 |
metrics:
|
49 |
- type: map_at_1
|
50 |
+
value: 26.101000000000003
|
51 |
- type: map_at_10
|
52 |
+
value: 38.239000000000004
|
53 |
- type: map_at_100
|
54 |
+
value: 40.083
|
55 |
- type: map_at_1000
|
56 |
+
value: 40.205
|
57 |
- type: map_at_3
|
58 |
+
value: 34.386
|
59 |
- type: map_at_5
|
60 |
+
value: 36.425999999999995
|
61 |
- type: mrr_at_1
|
62 |
+
value: 39.434999999999995
|
63 |
- type: mrr_at_10
|
64 |
+
value: 46.967999999999996
|
65 |
- type: mrr_at_100
|
66 |
+
value: 47.946
|
67 |
- type: mrr_at_1000
|
68 |
+
value: 47.997
|
69 |
- type: mrr_at_3
|
70 |
+
value: 44.803
|
71 |
- type: mrr_at_5
|
72 |
+
value: 45.911
|
73 |
- type: ndcg_at_1
|
74 |
+
value: 39.434999999999995
|
75 |
- type: ndcg_at_10
|
76 |
+
value: 44.416
|
77 |
- type: ndcg_at_100
|
78 |
+
value: 51.773
|
79 |
- type: ndcg_at_1000
|
80 |
+
value: 53.888000000000005
|
81 |
- type: ndcg_at_3
|
82 |
+
value: 39.816
|
83 |
- type: ndcg_at_5
|
84 |
+
value: 41.467999999999996
|
85 |
- type: precision_at_1
|
86 |
+
value: 39.434999999999995
|
87 |
- type: precision_at_10
|
88 |
+
value: 9.786999999999999
|
89 |
- type: precision_at_100
|
90 |
+
value: 1.5810000000000002
|
91 |
- type: precision_at_1000
|
92 |
+
value: 0.184
|
93 |
- type: precision_at_3
|
94 |
+
value: 22.414
|
95 |
- type: precision_at_5
|
96 |
+
value: 15.943999999999999
|
97 |
- type: recall_at_1
|
98 |
+
value: 26.101000000000003
|
99 |
- type: recall_at_10
|
100 |
+
value: 53.82900000000001
|
101 |
- type: recall_at_100
|
102 |
+
value: 84.63199999999999
|
103 |
- type: recall_at_1000
|
104 |
+
value: 98.782
|
105 |
- type: recall_at_3
|
106 |
+
value: 39.585
|
107 |
- type: recall_at_5
|
108 |
+
value: 45.141
|
109 |
- task:
|
110 |
type: Retrieval
|
111 |
dataset:
|
112 |
+
type: C_MTEB/CovidRetrieval
|
113 |
name: MTEB CovidRetrieval
|
114 |
config: default
|
115 |
split: dev
|
116 |
revision: None
|
117 |
metrics:
|
118 |
- type: map_at_1
|
119 |
+
value: 70.39
|
120 |
- type: map_at_10
|
121 |
+
value: 78.93599999999999
|
122 |
- type: map_at_100
|
123 |
+
value: 79.202
|
124 |
- type: map_at_1000
|
125 |
+
value: 79.205
|
126 |
- type: map_at_3
|
127 |
+
value: 77.538
|
128 |
- type: map_at_5
|
129 |
+
value: 78.312
|
130 |
- type: mrr_at_1
|
131 |
+
value: 70.706
|
132 |
- type: mrr_at_10
|
133 |
+
value: 79.018
|
134 |
- type: mrr_at_100
|
135 |
+
value: 79.28399999999999
|
136 |
- type: mrr_at_1000
|
137 |
+
value: 79.288
|
138 |
- type: mrr_at_3
|
139 |
+
value: 77.713
|
140 |
- type: mrr_at_5
|
141 |
+
value: 78.462
|
142 |
- type: ndcg_at_1
|
143 |
+
value: 70.601
|
144 |
- type: ndcg_at_10
|
145 |
+
value: 82.555
|
146 |
- type: ndcg_at_100
|
147 |
+
value: 83.718
|
148 |
- type: ndcg_at_1000
|
149 |
+
value: 83.855
|
150 |
- type: ndcg_at_3
|
151 |
+
value: 79.779
|
152 |
- type: ndcg_at_5
|
153 |
+
value: 81.149
|
154 |
- type: precision_at_1
|
155 |
+
value: 70.601
|
156 |
- type: precision_at_10
|
157 |
+
value: 9.463000000000001
|
158 |
- type: precision_at_100
|
159 |
+
value: 0.9979999999999999
|
160 |
- type: precision_at_1000
|
161 |
value: 0.101
|
162 |
- type: precision_at_3
|
163 |
+
value: 28.871999999999996
|
164 |
- type: precision_at_5
|
165 |
+
value: 18.019
|
166 |
- type: recall_at_1
|
167 |
+
value: 70.39
|
168 |
- type: recall_at_10
|
169 |
+
value: 93.572
|
170 |
- type: recall_at_100
|
171 |
+
value: 98.736
|
172 |
- type: recall_at_1000
|
173 |
+
value: 99.895
|
174 |
- type: recall_at_3
|
175 |
+
value: 86.091
|
176 |
- type: recall_at_5
|
177 |
+
value: 89.384
|
178 |
- task:
|
179 |
type: Retrieval
|
180 |
dataset:
|
181 |
+
type: C_MTEB/DuRetrieval
|
182 |
name: MTEB DuRetrieval
|
183 |
config: default
|
184 |
split: dev
|
185 |
revision: None
|
186 |
metrics:
|
187 |
- type: map_at_1
|
188 |
+
value: 26.147
|
189 |
- type: map_at_10
|
190 |
+
value: 80.205
|
191 |
- type: map_at_100
|
192 |
+
value: 82.96
|
193 |
- type: map_at_1000
|
194 |
+
value: 82.999
|
195 |
- type: map_at_3
|
196 |
+
value: 55.16799999999999
|
197 |
- type: map_at_5
|
198 |
+
value: 69.798
|
199 |
- type: mrr_at_1
|
200 |
+
value: 89.8
|
201 |
- type: mrr_at_10
|
202 |
+
value: 93.16799999999999
|
203 |
- type: mrr_at_100
|
204 |
+
value: 93.22500000000001
|
205 |
- type: mrr_at_1000
|
206 |
+
value: 93.228
|
207 |
- type: mrr_at_3
|
208 |
+
value: 92.85
|
209 |
- type: mrr_at_5
|
210 |
+
value: 93.067
|
211 |
- type: ndcg_at_1
|
212 |
+
value: 89.8
|
213 |
- type: ndcg_at_10
|
214 |
+
value: 87.668
|
215 |
- type: ndcg_at_100
|
216 |
+
value: 90.16
|
217 |
- type: ndcg_at_1000
|
218 |
+
value: 90.505
|
219 |
- type: ndcg_at_3
|
220 |
+
value: 85.842
|
221 |
- type: ndcg_at_5
|
222 |
+
value: 85.101
|
223 |
- type: precision_at_1
|
224 |
+
value: 89.8
|
225 |
- type: precision_at_10
|
226 |
+
value: 42.225
|
227 |
- type: precision_at_100
|
228 |
+
value: 4.8149999999999995
|
229 |
- type: precision_at_1000
|
230 |
value: 0.48900000000000005
|
231 |
- type: precision_at_3
|
232 |
+
value: 76.967
|
233 |
- type: precision_at_5
|
234 |
+
value: 65.32
|
235 |
- type: recall_at_1
|
236 |
+
value: 26.147
|
237 |
- type: recall_at_10
|
238 |
+
value: 89.30399999999999
|
239 |
- type: recall_at_100
|
240 |
+
value: 97.609
|
241 |
- type: recall_at_1000
|
242 |
+
value: 99.409
|
243 |
- type: recall_at_3
|
244 |
+
value: 57.56
|
245 |
- type: recall_at_5
|
246 |
+
value: 74.78200000000001
|
247 |
- task:
|
248 |
type: Retrieval
|
249 |
dataset:
|
250 |
+
type: C_MTEB/EcomRetrieval
|
251 |
name: MTEB EcomRetrieval
|
252 |
config: default
|
253 |
split: dev
|
254 |
revision: None
|
255 |
metrics:
|
256 |
- type: map_at_1
|
257 |
+
value: 53.300000000000004
|
258 |
- type: map_at_10
|
259 |
+
value: 62.507000000000005
|
260 |
- type: map_at_100
|
261 |
+
value: 63.068000000000005
|
262 |
- type: map_at_1000
|
263 |
+
value: 63.08200000000001
|
264 |
- type: map_at_3
|
265 |
+
value: 60.050000000000004
|
266 |
- type: map_at_5
|
267 |
+
value: 61.41
|
268 |
- type: mrr_at_1
|
269 |
+
value: 53.300000000000004
|
270 |
- type: mrr_at_10
|
271 |
+
value: 62.507000000000005
|
272 |
- type: mrr_at_100
|
273 |
+
value: 63.068000000000005
|
274 |
- type: mrr_at_1000
|
275 |
+
value: 63.08200000000001
|
276 |
- type: mrr_at_3
|
277 |
+
value: 60.050000000000004
|
278 |
- type: mrr_at_5
|
279 |
+
value: 61.41
|
280 |
- type: ndcg_at_1
|
281 |
+
value: 53.300000000000004
|
282 |
- type: ndcg_at_10
|
283 |
+
value: 67.31700000000001
|
284 |
- type: ndcg_at_100
|
285 |
+
value: 69.862
|
286 |
- type: ndcg_at_1000
|
287 |
+
value: 70.231
|
288 |
- type: ndcg_at_3
|
289 |
+
value: 62.222
|
290 |
- type: ndcg_at_5
|
291 |
+
value: 64.66300000000001
|
292 |
- type: precision_at_1
|
293 |
+
value: 53.300000000000004
|
294 |
- type: precision_at_10
|
295 |
+
value: 8.260000000000002
|
296 |
- type: precision_at_100
|
297 |
+
value: 0.941
|
298 |
- type: precision_at_1000
|
299 |
value: 0.097
|
300 |
- type: precision_at_3
|
301 |
+
value: 22.833000000000002
|
302 |
- type: precision_at_5
|
303 |
+
value: 14.879999999999999
|
304 |
- type: recall_at_1
|
305 |
+
value: 53.300000000000004
|
306 |
- type: recall_at_10
|
307 |
+
value: 82.6
|
308 |
- type: recall_at_100
|
309 |
+
value: 94.1
|
310 |
- type: recall_at_1000
|
311 |
value: 97.0
|
312 |
- type: recall_at_3
|
313 |
+
value: 68.5
|
314 |
- type: recall_at_5
|
315 |
+
value: 74.4
|
316 |
- task:
|
317 |
type: Retrieval
|
318 |
dataset:
|
319 |
+
type: C_MTEB/MMarcoRetrieval
|
320 |
name: MTEB MMarcoRetrieval
|
321 |
config: default
|
322 |
split: dev
|
323 |
revision: None
|
324 |
metrics:
|
325 |
- type: map_at_1
|
326 |
+
value: 70.68799999999999
|
327 |
- type: map_at_10
|
328 |
+
value: 79.28399999999999
|
329 |
- type: map_at_100
|
330 |
+
value: 79.537
|
331 |
- type: map_at_1000
|
332 |
+
value: 79.545
|
333 |
- type: map_at_3
|
334 |
+
value: 77.643
|
335 |
- type: map_at_5
|
336 |
+
value: 78.694
|
337 |
- type: mrr_at_1
|
338 |
+
value: 73.05199999999999
|
339 |
- type: mrr_at_10
|
340 |
+
value: 79.794
|
341 |
- type: mrr_at_100
|
342 |
+
value: 80.024
|
343 |
- type: mrr_at_1000
|
344 |
+
value: 80.03099999999999
|
345 |
- type: mrr_at_3
|
346 |
+
value: 78.441
|
347 |
- type: mrr_at_5
|
348 |
+
value: 79.29
|
349 |
- type: ndcg_at_1
|
350 |
+
value: 73.05199999999999
|
351 |
- type: ndcg_at_10
|
352 |
+
value: 82.627
|
353 |
- type: ndcg_at_100
|
354 |
+
value: 83.737
|
355 |
- type: ndcg_at_1000
|
356 |
+
value: 83.946
|
357 |
- type: ndcg_at_3
|
358 |
+
value: 79.585
|
359 |
- type: ndcg_at_5
|
360 |
+
value: 81.306
|
361 |
- type: precision_at_1
|
362 |
+
value: 73.05199999999999
|
363 |
- type: precision_at_10
|
364 |
+
value: 9.835
|
365 |
- type: precision_at_100
|
366 |
+
value: 1.038
|
367 |
- type: precision_at_1000
|
368 |
value: 0.106
|
369 |
- type: precision_at_3
|
370 |
+
value: 29.756
|
371 |
- type: precision_at_5
|
372 |
+
value: 18.788
|
373 |
- type: recall_at_1
|
374 |
+
value: 70.68799999999999
|
375 |
- type: recall_at_10
|
376 |
+
value: 92.38300000000001
|
377 |
- type: recall_at_100
|
378 |
+
value: 97.347
|
379 |
- type: recall_at_1000
|
380 |
+
value: 98.992
|
381 |
- type: recall_at_3
|
382 |
+
value: 84.37
|
383 |
- type: recall_at_5
|
384 |
+
value: 88.434
|
385 |
- task:
|
386 |
type: Retrieval
|
387 |
dataset:
|
388 |
+
type: C_MTEB/MedicalRetrieval
|
389 |
name: MTEB MedicalRetrieval
|
390 |
config: default
|
391 |
split: dev
|
392 |
revision: None
|
393 |
metrics:
|
394 |
- type: map_at_1
|
395 |
+
value: 53.1
|
396 |
- type: map_at_10
|
397 |
+
value: 58.36599999999999
|
398 |
- type: map_at_100
|
399 |
+
value: 58.939
|
400 |
- type: map_at_1000
|
401 |
+
value: 58.99100000000001
|
402 |
- type: map_at_3
|
403 |
+
value: 57.15
|
404 |
- type: map_at_5
|
405 |
+
value: 57.794999999999995
|
406 |
- type: mrr_at_1
|
407 |
+
value: 53.2
|
408 |
- type: mrr_at_10
|
409 |
+
value: 58.416000000000004
|
410 |
- type: mrr_at_100
|
411 |
+
value: 58.989999999999995
|
412 |
- type: mrr_at_1000
|
413 |
+
value: 59.041
|
414 |
- type: mrr_at_3
|
415 |
+
value: 57.199999999999996
|
416 |
- type: mrr_at_5
|
417 |
+
value: 57.845
|
418 |
- type: ndcg_at_1
|
419 |
+
value: 53.1
|
420 |
- type: ndcg_at_10
|
421 |
+
value: 60.989000000000004
|
422 |
- type: ndcg_at_100
|
423 |
+
value: 63.967
|
424 |
- type: ndcg_at_1000
|
425 |
+
value: 65.436
|
426 |
- type: ndcg_at_3
|
427 |
+
value: 58.425000000000004
|
428 |
- type: ndcg_at_5
|
429 |
+
value: 59.583
|
430 |
- type: precision_at_1
|
431 |
+
value: 53.1
|
432 |
- type: precision_at_10
|
433 |
+
value: 6.93
|
434 |
- type: precision_at_100
|
435 |
+
value: 0.8370000000000001
|
436 |
- type: precision_at_1000
|
437 |
value: 0.096
|
438 |
- type: precision_at_3
|
439 |
+
value: 20.7
|
440 |
- type: precision_at_5
|
441 |
+
value: 12.98
|
442 |
- type: recall_at_1
|
443 |
+
value: 53.1
|
444 |
- type: recall_at_10
|
445 |
+
value: 69.3
|
446 |
- type: recall_at_100
|
447 |
+
value: 83.7
|
448 |
- type: recall_at_1000
|
449 |
+
value: 95.5
|
450 |
- type: recall_at_3
|
451 |
+
value: 62.1
|
452 |
- type: recall_at_5
|
453 |
+
value: 64.9
|
454 |
- task:
|
455 |
type: Reranking
|
456 |
dataset:
|
|
|
480 |
- task:
|
481 |
type: Retrieval
|
482 |
dataset:
|
483 |
+
type: C_MTEB/T2Retrieval
|
484 |
name: MTEB T2Retrieval
|
485 |
config: default
|
486 |
split: dev
|
487 |
revision: None
|
488 |
metrics:
|
489 |
- type: map_at_1
|
490 |
+
value: 28.116000000000003
|
491 |
- type: map_at_10
|
492 |
+
value: 80.026
|
493 |
- type: map_at_100
|
494 |
+
value: 83.541
|
495 |
- type: map_at_1000
|
496 |
+
value: 83.592
|
497 |
- type: map_at_3
|
498 |
+
value: 56.092
|
499 |
- type: map_at_5
|
500 |
+
value: 69.114
|
501 |
- type: mrr_at_1
|
502 |
+
value: 91.557
|
503 |
- type: mrr_at_10
|
504 |
+
value: 93.73700000000001
|
505 |
- type: mrr_at_100
|
506 |
+
value: 93.808
|
507 |
- type: mrr_at_1000
|
508 |
+
value: 93.811
|
509 |
- type: mrr_at_3
|
510 |
+
value: 93.384
|
511 |
- type: mrr_at_5
|
512 |
+
value: 93.614
|
513 |
- type: ndcg_at_1
|
514 |
+
value: 91.553
|
515 |
- type: ndcg_at_10
|
516 |
+
value: 87.003
|
517 |
- type: ndcg_at_100
|
518 |
+
value: 90.128
|
519 |
- type: ndcg_at_1000
|
520 |
+
value: 90.615
|
521 |
- type: ndcg_at_3
|
522 |
+
value: 88.205
|
523 |
- type: ndcg_at_5
|
524 |
+
value: 86.978
|
525 |
- type: precision_at_1
|
526 |
+
value: 91.553
|
527 |
- type: precision_at_10
|
528 |
+
value: 43.25
|
529 |
- type: precision_at_100
|
530 |
+
value: 5.067
|
531 |
- type: precision_at_1000
|
532 |
value: 0.518
|
533 |
- type: precision_at_3
|
534 |
+
value: 77.25
|
535 |
- type: precision_at_5
|
536 |
+
value: 64.902
|
537 |
- type: recall_at_1
|
538 |
+
value: 28.116000000000003
|
539 |
- type: recall_at_10
|
540 |
+
value: 85.994
|
541 |
- type: recall_at_100
|
542 |
+
value: 96.345
|
543 |
- type: recall_at_1000
|
544 |
+
value: 98.867
|
545 |
- type: recall_at_3
|
546 |
+
value: 57.67099999999999
|
547 |
- type: recall_at_5
|
548 |
+
value: 72.26
|
549 |
- task:
|
550 |
type: Retrieval
|
551 |
dataset:
|
552 |
+
type: C_MTEB/VideoRetrieval
|
553 |
name: MTEB VideoRetrieval
|
554 |
config: default
|
555 |
split: dev
|
556 |
revision: None
|
557 |
metrics:
|
558 |
- type: map_at_1
|
559 |
+
value: 64.9
|
560 |
- type: map_at_10
|
561 |
+
value: 73.763
|
562 |
- type: map_at_100
|
563 |
+
value: 74.116
|
564 |
- type: map_at_1000
|
565 |
+
value: 74.12100000000001
|
566 |
- type: map_at_3
|
567 |
+
value: 72.15
|
568 |
- type: map_at_5
|
569 |
+
value: 73.25
|
570 |
- type: mrr_at_1
|
571 |
+
value: 64.9
|
572 |
- type: mrr_at_10
|
573 |
+
value: 73.763
|
574 |
- type: mrr_at_100
|
575 |
+
value: 74.116
|
576 |
- type: mrr_at_1000
|
577 |
+
value: 74.12100000000001
|
578 |
- type: mrr_at_3
|
579 |
+
value: 72.15
|
580 |
- type: mrr_at_5
|
581 |
+
value: 73.25
|
582 |
- type: ndcg_at_1
|
583 |
+
value: 64.9
|
584 |
- type: ndcg_at_10
|
585 |
+
value: 77.639
|
586 |
- type: ndcg_at_100
|
587 |
+
value: 79.396
|
588 |
- type: ndcg_at_1000
|
589 |
+
value: 79.554
|
590 |
- type: ndcg_at_3
|
591 |
+
value: 74.406
|
592 |
- type: ndcg_at_5
|
593 |
+
value: 76.385
|
594 |
- type: precision_at_1
|
595 |
+
value: 64.9
|
596 |
- type: precision_at_10
|
597 |
+
value: 8.959999999999999
|
598 |
- type: precision_at_100
|
599 |
+
value: 0.979
|
600 |
- type: precision_at_1000
|
601 |
value: 0.099
|
602 |
- type: precision_at_3
|
603 |
+
value: 26.967000000000002
|
604 |
- type: precision_at_5
|
605 |
+
value: 17.14
|
606 |
- type: recall_at_1
|
607 |
+
value: 64.9
|
608 |
- type: recall_at_10
|
609 |
+
value: 89.60000000000001
|
610 |
- type: recall_at_100
|
611 |
+
value: 97.89999999999999
|
612 |
- type: recall_at_1000
|
613 |
+
value: 99.2
|
614 |
- type: recall_at_3
|
615 |
+
value: 80.9
|
616 |
- type: recall_at_5
|
617 |
+
value: 85.7
|
618 |
---
|
619 |
license: apache-2.0
|
620 |
library_name: transformers
|