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--- |
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tags: |
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- ts |
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model-index: |
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- name: new7 |
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results: |
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- task: |
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type: Classification |
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dataset: |
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type: mteb/amazon_counterfactual |
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name: MTEB AmazonCounterfactualClassification (en) |
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config: en |
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split: test |
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revision: e8379541af4e31359cca9fbcf4b00f2671dba205 |
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metrics: |
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- type: accuracy |
|
|
value: 90.25373134328359 |
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|
- type: ap |
|
|
value: 65.16915484773354 |
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|
- type: f1 |
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value: 86.23066728099059 |
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- task: |
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type: Classification |
|
|
dataset: |
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type: mteb/amazon_polarity |
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name: MTEB AmazonPolarityClassification |
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config: default |
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split: test |
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revision: e2d317d38cd51312af73b3d32a06d1a08b442046 |
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metrics: |
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- type: accuracy |
|
|
value: 93.974875 |
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- type: ap |
|
|
value: 91.14317344009288 |
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- type: f1 |
|
|
value: 93.9685240564202 |
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- task: |
|
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type: Classification |
|
|
dataset: |
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type: mteb/amazon_reviews_multi |
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name: MTEB AmazonReviewsClassification (en) |
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config: en |
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split: test |
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revision: 1399c76144fd37290681b995c656ef9b2e06e26d |
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metrics: |
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- type: accuracy |
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|
value: 55.77799999999999 |
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|
- type: f1 |
|
|
value: 55.30626203111084 |
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- task: |
|
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type: Retrieval |
|
|
dataset: |
|
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type: arguana |
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name: MTEB ArguAna |
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config: default |
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split: test |
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revision: None |
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metrics: |
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|
- type: map_at_1 |
|
|
value: 28.663 |
|
|
- type: map_at_10 |
|
|
value: 43.903 |
|
|
- type: map_at_100 |
|
|
value: 44.779 |
|
|
- type: map_at_1000 |
|
|
value: 44.799 |
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|
- type: map_at_3 |
|
|
value: 39.486 |
|
|
- type: map_at_5 |
|
|
value: 42.199 |
|
|
- type: mrr_at_1 |
|
|
value: 28.663 |
|
|
- type: mrr_at_10 |
|
|
value: 43.903 |
|
|
- type: mrr_at_100 |
|
|
value: 44.779 |
|
|
- type: mrr_at_1000 |
|
|
value: 44.799 |
|
|
- type: mrr_at_3 |
|
|
value: 39.486 |
|
|
- type: mrr_at_5 |
|
|
value: 42.199 |
|
|
- type: ndcg_at_1 |
|
|
value: 28.663 |
|
|
- type: ndcg_at_10 |
|
|
value: 51.983999999999995 |
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|
- type: ndcg_at_100 |
|
|
value: 55.981 |
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|
- type: ndcg_at_1000 |
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value: 56.474000000000004 |
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- type: ndcg_at_3 |
|
|
value: 43.025000000000006 |
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- type: ndcg_at_5 |
|
|
value: 47.916 |
|
|
- type: precision_at_1 |
|
|
value: 28.663 |
|
|
- type: precision_at_10 |
|
|
value: 7.76 |
|
|
- type: precision_at_100 |
|
|
value: 0.9570000000000001 |
|
|
- type: precision_at_1000 |
|
|
value: 0.1 |
|
|
- type: precision_at_3 |
|
|
value: 17.757 |
|
|
- type: precision_at_5 |
|
|
value: 13.03 |
|
|
- type: recall_at_1 |
|
|
value: 28.663 |
|
|
- type: recall_at_10 |
|
|
value: 77.596 |
|
|
- type: recall_at_100 |
|
|
value: 95.661 |
|
|
- type: recall_at_1000 |
|
|
value: 99.502 |
|
|
- type: recall_at_3 |
|
|
value: 53.272 |
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|
- type: recall_at_5 |
|
|
value: 65.149 |
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- task: |
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type: Clustering |
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dataset: |
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type: mteb/arxiv-clustering-p2p |
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name: MTEB ArxivClusteringP2P |
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config: default |
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split: test |
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revision: a122ad7f3f0291bf49cc6f4d32aa80929df69d5d |
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metrics: |
|
|
- type: v_measure |
|
|
value: 41.06284026514476 |
|
|
- task: |
|
|
type: Clustering |
|
|
dataset: |
|
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type: mteb/arxiv-clustering-s2s |
|
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name: MTEB ArxivClusteringS2S |
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config: default |
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split: test |
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revision: f910caf1a6075f7329cdf8c1a6135696f37dbd53 |
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|
metrics: |
|
|
- type: v_measure |
|
|
value: 32.96711301401968 |
|
|
- task: |
|
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type: Reranking |
|
|
dataset: |
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type: mteb/askubuntudupquestions-reranking |
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name: MTEB AskUbuntuDupQuestions |
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config: default |
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split: test |
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revision: 2000358ca161889fa9c082cb41daa8dcfb161a54 |
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|
metrics: |
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|
- type: map |
|
|
value: 58.05094332005456 |
|
|
- type: mrr |
|
|
value: 70.90808160752759 |
|
|
- task: |
|
|
type: STS |
|
|
dataset: |
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type: mteb/biosses-sts |
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name: MTEB BIOSSES |
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config: default |
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split: test |
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revision: d3fb88f8f02e40887cd149695127462bbcf29b4a |
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|
metrics: |
|
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- type: cos_sim_pearson |
|
|
value: 93.67415724859552 |
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- type: cos_sim_spearman |
|
|
value: 93.37019979249912 |
|
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- type: euclidean_pearson |
|
|
value: 91.767368542047 |
|
|
- type: euclidean_spearman |
|
|
value: 92.75874007684216 |
|
|
- type: manhattan_pearson |
|
|
value: 91.7931347639689 |
|
|
- type: manhattan_spearman |
|
|
value: 92.94428647331738 |
|
|
- task: |
|
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type: Classification |
|
|
dataset: |
|
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type: mteb/banking77 |
|
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name: MTEB Banking77Classification |
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config: default |
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split: test |
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revision: 0fd18e25b25c072e09e0d92ab615fda904d66300 |
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|
metrics: |
|
|
- type: accuracy |
|
|
value: 91.6720779220779 |
|
|
- type: f1 |
|
|
value: 91.68597413806214 |
|
|
- task: |
|
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type: Clustering |
|
|
dataset: |
|
|
type: mteb/biorxiv-clustering-p2p |
|
|
name: MTEB BiorxivClusteringP2P |
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config: default |
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|
split: test |
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|
revision: 65b79d1d13f80053f67aca9498d9402c2d9f1f40 |
|
|
metrics: |
|
|
- type: v_measure |
|
|
value: 30.160011542775695 |
|
|
- task: |
|
|
type: Clustering |
|
|
dataset: |
|
|
type: mteb/biorxiv-clustering-s2s |
|
|
name: MTEB BiorxivClusteringS2S |
|
|
config: default |
|
|
split: test |
|
|
revision: 258694dd0231531bc1fd9de6ceb52a0853c6d908 |
|
|
metrics: |
|
|
- type: v_measure |
|
|
value: 24.890267612946595 |
|
|
- task: |
|
|
type: Retrieval |
|
|
dataset: |
|
|
type: BeIR/cqadupstack |
|
|
name: MTEB CQADupstackAndroidRetrieval |
|
|
config: default |
|
|
split: test |
|
|
revision: None |
|
|
metrics: |
|
|
- type: map_at_1 |
|
|
value: 22.52 |
|
|
- type: map_at_10 |
|
|
value: 31.905 |
|
|
- type: map_at_100 |
|
|
value: 33.146 |
|
|
- type: map_at_1000 |
|
|
value: 33.315 |
|
|
- type: map_at_3 |
|
|
value: 29.567 |
|
|
- type: map_at_5 |
|
|
value: 30.729 |
|
|
- type: mrr_at_1 |
|
|
value: 28.469 |
|
|
- type: mrr_at_10 |
|
|
value: 37.884 |
|
|
- type: mrr_at_100 |
|
|
value: 38.757000000000005 |
|
|
- type: mrr_at_1000 |
|
|
value: 38.827 |
|
|
- type: mrr_at_3 |
|
|
value: 36.004000000000005 |
|
|
- type: mrr_at_5 |
|
|
value: 36.927 |
|
|
- type: ndcg_at_1 |
|
|
value: 28.469 |
|
|
- type: ndcg_at_10 |
|
|
value: 37.436 |
|
|
- type: ndcg_at_100 |
|
|
value: 42.754 |
|
|
- type: ndcg_at_1000 |
|
|
value: 45.744 |
|
|
- type: ndcg_at_3 |
|
|
value: 34.121 |
|
|
- type: ndcg_at_5 |
|
|
value: 35.315000000000005 |
|
|
- type: precision_at_1 |
|
|
value: 28.469 |
|
|
- type: precision_at_10 |
|
|
value: 7.167 |
|
|
- type: precision_at_100 |
|
|
value: 1.24 |
|
|
- type: precision_at_1000 |
|
|
value: 0.184 |
|
|
- type: precision_at_3 |
|
|
value: 17.072000000000003 |
|
|
- type: precision_at_5 |
|
|
value: 11.731 |
|
|
- type: recall_at_1 |
|
|
value: 22.52 |
|
|
- type: recall_at_10 |
|
|
value: 47.61 |
|
|
- type: recall_at_100 |
|
|
value: 70.494 |
|
|
- type: recall_at_1000 |
|
|
value: 90.081 |
|
|
- type: recall_at_3 |
|
|
value: 37.012 |
|
|
- type: recall_at_5 |
|
|
value: 41.053 |
|
|
- task: |
|
|
type: Retrieval |
|
|
dataset: |
|
|
type: BeIR/cqadupstack |
|
|
name: MTEB CQADupstackEnglishRetrieval |
|
|
config: default |
|
|
split: test |
|
|
revision: None |
|
|
metrics: |
|
|
- type: map_at_1 |
|
|
value: 22.167 |
|
|
- type: map_at_10 |
|
|
value: 29.227999999999998 |
|
|
- type: map_at_100 |
|
|
value: 30.361 |
|
|
- type: map_at_1000 |
|
|
value: 30.483 |
|
|
- type: map_at_3 |
|
|
value: 27.046 |
|
|
- type: map_at_5 |
|
|
value: 28.253 |
|
|
- type: mrr_at_1 |
|
|
value: 27.961999999999996 |
|
|
- type: mrr_at_10 |
|
|
value: 34.474 |
|
|
- type: mrr_at_100 |
|
|
value: 35.257 |
|
|
- type: mrr_at_1000 |
|
|
value: 35.312 |
|
|
- type: mrr_at_3 |
|
|
value: 32.633 |
|
|
- type: mrr_at_5 |
|
|
value: 33.7 |
|
|
- type: ndcg_at_1 |
|
|
value: 27.961999999999996 |
|
|
- type: ndcg_at_10 |
|
|
value: 33.800000000000004 |
|
|
- type: ndcg_at_100 |
|
|
value: 38.435 |
|
|
- type: ndcg_at_1000 |
|
|
value: 40.753 |
|
|
- type: ndcg_at_3 |
|
|
value: 30.584 |
|
|
- type: ndcg_at_5 |
|
|
value: 32.036 |
|
|
- type: precision_at_1 |
|
|
value: 27.961999999999996 |
|
|
- type: precision_at_10 |
|
|
value: 6.338000000000001 |
|
|
- type: precision_at_100 |
|
|
value: 1.127 |
|
|
- type: precision_at_1000 |
|
|
value: 0.159 |
|
|
- type: precision_at_3 |
|
|
value: 14.649999999999999 |
|
|
- type: precision_at_5 |
|
|
value: 10.408000000000001 |
|
|
- type: recall_at_1 |
|
|
value: 22.167 |
|
|
- type: recall_at_10 |
|
|
value: 41.735 |
|
|
- type: recall_at_100 |
|
|
value: 61.612 |
|
|
- type: recall_at_1000 |
|
|
value: 77.046 |
|
|
- type: recall_at_3 |
|
|
value: 31.985000000000003 |
|
|
- type: recall_at_5 |
|
|
value: 36.216 |
|
|
- task: |
|
|
type: Retrieval |
|
|
dataset: |
|
|
type: BeIR/cqadupstack |
|
|
name: MTEB CQADupstackGamingRetrieval |
|
|
config: default |
|
|
split: test |
|
|
revision: None |
|
|
metrics: |
|
|
- type: map_at_1 |
|
|
value: 28.88 |
|
|
- type: map_at_10 |
|
|
value: 39.483000000000004 |
|
|
- type: map_at_100 |
|
|
value: 40.65 |
|
|
- type: map_at_1000 |
|
|
value: 40.727000000000004 |
|
|
- type: map_at_3 |
|
|
value: 36.095 |
|
|
- type: map_at_5 |
|
|
value: 38.138 |
|
|
- type: mrr_at_1 |
|
|
value: 33.292 |
|
|
- type: mrr_at_10 |
|
|
value: 42.655 |
|
|
- type: mrr_at_100 |
|
|
value: 43.505 |
|
|
- type: mrr_at_1000 |
|
|
value: 43.555 |
|
|
- type: mrr_at_3 |
|
|
value: 39.634 |
|
|
- type: mrr_at_5 |
|
|
value: 41.589999999999996 |
|
|
- type: ndcg_at_1 |
|
|
value: 33.292 |
|
|
- type: ndcg_at_10 |
|
|
value: 45.216 |
|
|
- type: ndcg_at_100 |
|
|
value: 50.029999999999994 |
|
|
- type: ndcg_at_1000 |
|
|
value: 51.795 |
|
|
- type: ndcg_at_3 |
|
|
value: 39.184000000000005 |
|
|
- type: ndcg_at_5 |
|
|
value: 42.416 |
|
|
- type: precision_at_1 |
|
|
value: 33.292 |
|
|
- type: precision_at_10 |
|
|
value: 7.661 |
|
|
- type: precision_at_100 |
|
|
value: 1.089 |
|
|
- type: precision_at_1000 |
|
|
value: 0.129 |
|
|
- type: precision_at_3 |
|
|
value: 17.701 |
|
|
- type: precision_at_5 |
|
|
value: 12.878 |
|
|
- type: recall_at_1 |
|
|
value: 28.88 |
|
|
- type: recall_at_10 |
|
|
value: 59.148 |
|
|
- type: recall_at_100 |
|
|
value: 80.10300000000001 |
|
|
- type: recall_at_1000 |
|
|
value: 92.938 |
|
|
- type: recall_at_3 |
|
|
value: 43.262 |
|
|
- type: recall_at_5 |
|
|
value: 51.05800000000001 |
|
|
- task: |
|
|
type: Retrieval |
|
|
dataset: |
|
|
type: BeIR/cqadupstack |
|
|
name: MTEB CQADupstackGisRetrieval |
|
|
config: default |
|
|
split: test |
|
|
revision: None |
|
|
metrics: |
|
|
- type: map_at_1 |
|
|
value: 17.732 |
|
|
- type: map_at_10 |
|
|
value: 24.104999999999997 |
|
|
- type: map_at_100 |
|
|
value: 25.085 |
|
|
- type: map_at_1000 |
|
|
value: 25.180000000000003 |
|
|
- type: map_at_3 |
|
|
value: 21.826999999999998 |
|
|
- type: map_at_5 |
|
|
value: 22.988 |
|
|
- type: mrr_at_1 |
|
|
value: 19.209 |
|
|
- type: mrr_at_10 |
|
|
value: 25.528000000000002 |
|
|
- type: mrr_at_100 |
|
|
value: 26.477 |
|
|
- type: mrr_at_1000 |
|
|
value: 26.56 |
|
|
- type: mrr_at_3 |
|
|
value: 23.315 |
|
|
- type: mrr_at_5 |
|
|
value: 24.427 |
|
|
- type: ndcg_at_1 |
|
|
value: 19.209 |
|
|
- type: ndcg_at_10 |
|
|
value: 28.055000000000003 |
|
|
- type: ndcg_at_100 |
|
|
value: 33.357 |
|
|
- type: ndcg_at_1000 |
|
|
value: 35.996 |
|
|
- type: ndcg_at_3 |
|
|
value: 23.526 |
|
|
- type: ndcg_at_5 |
|
|
value: 25.471 |
|
|
- type: precision_at_1 |
|
|
value: 19.209 |
|
|
- type: precision_at_10 |
|
|
value: 4.463 |
|
|
- type: precision_at_100 |
|
|
value: 0.756 |
|
|
- type: precision_at_1000 |
|
|
value: 0.10200000000000001 |
|
|
- type: precision_at_3 |
|
|
value: 9.981 |
|
|
- type: precision_at_5 |
|
|
value: 7.119000000000001 |
|
|
- type: recall_at_1 |
|
|
value: 17.732 |
|
|
- type: recall_at_10 |
|
|
value: 39.086999999999996 |
|
|
- type: recall_at_100 |
|
|
value: 64.264 |
|
|
- type: recall_at_1000 |
|
|
value: 84.589 |
|
|
- type: recall_at_3 |
|
|
value: 26.668999999999997 |
|
|
- type: recall_at_5 |
|
|
value: 31.361 |
|
|
- task: |
|
|
type: Retrieval |
|
|
dataset: |
|
|
type: BeIR/cqadupstack |
|
|
name: MTEB CQADupstackMathematicaRetrieval |
|
|
config: default |
|
|
split: test |
|
|
revision: None |
|
|
metrics: |
|
|
- type: map_at_1 |
|
|
value: 10.99 |
|
|
- type: map_at_10 |
|
|
value: 16.661 |
|
|
- type: map_at_100 |
|
|
value: 17.763 |
|
|
- type: map_at_1000 |
|
|
value: 17.892 |
|
|
- type: map_at_3 |
|
|
value: 14.813 |
|
|
- type: map_at_5 |
|
|
value: 15.678 |
|
|
- type: mrr_at_1 |
|
|
value: 13.930000000000001 |
|
|
- type: mrr_at_10 |
|
|
value: 20.25 |
|
|
- type: mrr_at_100 |
|
|
value: 21.233 |
|
|
- type: mrr_at_1000 |
|
|
value: 21.325 |
|
|
- type: mrr_at_3 |
|
|
value: 18.262999999999998 |
|
|
- type: mrr_at_5 |
|
|
value: 19.177 |
|
|
- type: ndcg_at_1 |
|
|
value: 13.930000000000001 |
|
|
- type: ndcg_at_10 |
|
|
value: 20.558 |
|
|
- type: ndcg_at_100 |
|
|
value: 26.137 |
|
|
- type: ndcg_at_1000 |
|
|
value: 29.54 |
|
|
- type: ndcg_at_3 |
|
|
value: 17.015 |
|
|
- type: ndcg_at_5 |
|
|
value: 18.314 |
|
|
- type: precision_at_1 |
|
|
value: 13.930000000000001 |
|
|
- type: precision_at_10 |
|
|
value: 3.9050000000000002 |
|
|
- type: precision_at_100 |
|
|
value: 0.782 |
|
|
- type: precision_at_1000 |
|
|
value: 0.121 |
|
|
- type: precision_at_3 |
|
|
value: 8.333 |
|
|
- type: precision_at_5 |
|
|
value: 5.92 |
|
|
- type: recall_at_1 |
|
|
value: 10.99 |
|
|
- type: recall_at_10 |
|
|
value: 29.156 |
|
|
- type: recall_at_100 |
|
|
value: 54.06100000000001 |
|
|
- type: recall_at_1000 |
|
|
value: 78.69699999999999 |
|
|
- type: recall_at_3 |
|
|
value: 19.11 |
|
|
- type: recall_at_5 |
|
|
value: 22.609 |
|
|
- task: |
|
|
type: Retrieval |
|
|
dataset: |
|
|
type: BeIR/cqadupstack |
|
|
name: MTEB CQADupstackPhysicsRetrieval |
|
|
config: default |
|
|
split: test |
|
|
revision: None |
|
|
metrics: |
|
|
- type: map_at_1 |
|
|
value: 21.351 |
|
|
- type: map_at_10 |
|
|
value: 29.961 |
|
|
- type: map_at_100 |
|
|
value: 31.214 |
|
|
- type: map_at_1000 |
|
|
value: 31.349 |
|
|
- type: map_at_3 |
|
|
value: 27.283 |
|
|
- type: map_at_5 |
|
|
value: 28.851 |
|
|
- type: mrr_at_1 |
|
|
value: 25.602000000000004 |
|
|
- type: mrr_at_10 |
|
|
value: 34.554 |
|
|
- type: mrr_at_100 |
|
|
value: 35.423 |
|
|
- type: mrr_at_1000 |
|
|
value: 35.492000000000004 |
|
|
- type: mrr_at_3 |
|
|
value: 31.97 |
|
|
- type: mrr_at_5 |
|
|
value: 33.399 |
|
|
- type: ndcg_at_1 |
|
|
value: 25.602000000000004 |
|
|
- type: ndcg_at_10 |
|
|
value: 35.339999999999996 |
|
|
- type: ndcg_at_100 |
|
|
value: 40.89 |
|
|
- type: ndcg_at_1000 |
|
|
value: 43.732 |
|
|
- type: ndcg_at_3 |
|
|
value: 30.657 |
|
|
- type: ndcg_at_5 |
|
|
value: 32.945 |
|
|
- type: precision_at_1 |
|
|
value: 25.602000000000004 |
|
|
- type: precision_at_10 |
|
|
value: 6.574000000000001 |
|
|
- type: precision_at_100 |
|
|
value: 1.095 |
|
|
- type: precision_at_1000 |
|
|
value: 0.153 |
|
|
- type: precision_at_3 |
|
|
value: 14.629 |
|
|
- type: precision_at_5 |
|
|
value: 10.645 |
|
|
- type: recall_at_1 |
|
|
value: 21.351 |
|
|
- type: recall_at_10 |
|
|
value: 46.754 |
|
|
- type: recall_at_100 |
|
|
value: 70.247 |
|
|
- type: recall_at_1000 |
|
|
value: 89.653 |
|
|
- type: recall_at_3 |
|
|
value: 33.894000000000005 |
|
|
- type: recall_at_5 |
|
|
value: 39.667 |
|
|
- task: |
|
|
type: Retrieval |
|
|
dataset: |
|
|
type: BeIR/cqadupstack |
|
|
name: MTEB CQADupstackProgrammersRetrieval |
|
|
config: default |
|
|
split: test |
|
|
revision: None |
|
|
metrics: |
|
|
- type: map_at_1 |
|
|
value: 17.052999999999997 |
|
|
- type: map_at_10 |
|
|
value: 24.291999999999998 |
|
|
- type: map_at_100 |
|
|
value: 25.348 |
|
|
- type: map_at_1000 |
|
|
value: 25.487 |
|
|
- type: map_at_3 |
|
|
value: 21.922 |
|
|
- type: map_at_5 |
|
|
value: 23.256 |
|
|
- type: mrr_at_1 |
|
|
value: 20.776 |
|
|
- type: mrr_at_10 |
|
|
value: 28.17 |
|
|
- type: mrr_at_100 |
|
|
value: 28.99 |
|
|
- type: mrr_at_1000 |
|
|
value: 29.082 |
|
|
- type: mrr_at_3 |
|
|
value: 25.951 |
|
|
- type: mrr_at_5 |
|
|
value: 27.241 |
|
|
- type: ndcg_at_1 |
|
|
value: 20.776 |
|
|
- type: ndcg_at_10 |
|
|
value: 28.909000000000002 |
|
|
- type: ndcg_at_100 |
|
|
value: 33.917 |
|
|
- type: ndcg_at_1000 |
|
|
value: 37.173 |
|
|
- type: ndcg_at_3 |
|
|
value: 24.769 |
|
|
- type: ndcg_at_5 |
|
|
value: 26.698 |
|
|
- type: precision_at_1 |
|
|
value: 20.776 |
|
|
- type: precision_at_10 |
|
|
value: 5.445 |
|
|
- type: precision_at_100 |
|
|
value: 0.943 |
|
|
- type: precision_at_1000 |
|
|
value: 0.13899999999999998 |
|
|
- type: precision_at_3 |
|
|
value: 11.985999999999999 |
|
|
- type: precision_at_5 |
|
|
value: 8.699 |
|
|
- type: recall_at_1 |
|
|
value: 17.052999999999997 |
|
|
- type: recall_at_10 |
|
|
value: 38.922000000000004 |
|
|
- type: recall_at_100 |
|
|
value: 60.624 |
|
|
- type: recall_at_1000 |
|
|
value: 83.83 |
|
|
- type: recall_at_3 |
|
|
value: 27.35 |
|
|
- type: recall_at_5 |
|
|
value: 32.513999999999996 |
|
|
- task: |
|
|
type: Retrieval |
|
|
dataset: |
|
|
type: BeIR/cqadupstack |
|
|
name: MTEB CQADupstackRetrieval |
|
|
config: default |
|
|
split: test |
|
|
revision: None |
|
|
metrics: |
|
|
- type: map_at_1 |
|
|
value: 17.981 |
|
|
- type: map_at_10 |
|
|
value: 24.99583333333333 |
|
|
- type: map_at_100 |
|
|
value: 26.054083333333335 |
|
|
- type: map_at_1000 |
|
|
value: 26.180916666666672 |
|
|
- type: map_at_3 |
|
|
value: 22.802666666666667 |
|
|
- type: map_at_5 |
|
|
value: 24.00508333333333 |
|
|
- type: mrr_at_1 |
|
|
value: 21.373916666666666 |
|
|
- type: mrr_at_10 |
|
|
value: 28.53433333333333 |
|
|
- type: mrr_at_100 |
|
|
value: 29.404000000000003 |
|
|
- type: mrr_at_1000 |
|
|
value: 29.481999999999996 |
|
|
- type: mrr_at_3 |
|
|
value: 26.462999999999997 |
|
|
- type: mrr_at_5 |
|
|
value: 27.596083333333333 |
|
|
- type: ndcg_at_1 |
|
|
value: 21.373916666666666 |
|
|
- type: ndcg_at_10 |
|
|
value: 29.40908333333333 |
|
|
- type: ndcg_at_100 |
|
|
value: 34.43266666666666 |
|
|
- type: ndcg_at_1000 |
|
|
value: 37.334916666666665 |
|
|
- type: ndcg_at_3 |
|
|
value: 25.518250000000002 |
|
|
- type: ndcg_at_5 |
|
|
value: 27.286916666666666 |
|
|
- type: precision_at_1 |
|
|
value: 21.373916666666666 |
|
|
- type: precision_at_10 |
|
|
value: 5.265666666666667 |
|
|
- type: precision_at_100 |
|
|
value: 0.9175833333333334 |
|
|
- type: precision_at_1000 |
|
|
value: 0.13533333333333336 |
|
|
- type: precision_at_3 |
|
|
value: 11.92425 |
|
|
- type: precision_at_5 |
|
|
value: 8.532250000000001 |
|
|
- type: recall_at_1 |
|
|
value: 17.981 |
|
|
- type: recall_at_10 |
|
|
value: 39.14641666666667 |
|
|
- type: recall_at_100 |
|
|
value: 61.65433333333334 |
|
|
- type: recall_at_1000 |
|
|
value: 82.39216666666665 |
|
|
- type: recall_at_3 |
|
|
value: 28.15266666666667 |
|
|
- type: recall_at_5 |
|
|
value: 32.795 |
|
|
- task: |
|
|
type: Retrieval |
|
|
dataset: |
|
|
type: BeIR/cqadupstack |
|
|
name: MTEB CQADupstackStatsRetrieval |
|
|
config: default |
|
|
split: test |
|
|
revision: None |
|
|
metrics: |
|
|
- type: map_at_1 |
|
|
value: 16.834 |
|
|
- type: map_at_10 |
|
|
value: 22.046 |
|
|
- type: map_at_100 |
|
|
value: 22.954 |
|
|
- type: map_at_1000 |
|
|
value: 23.051 |
|
|
- type: map_at_3 |
|
|
value: 20.602999999999998 |
|
|
- type: map_at_5 |
|
|
value: 21.387999999999998 |
|
|
- type: mrr_at_1 |
|
|
value: 19.172 |
|
|
- type: mrr_at_10 |
|
|
value: 24.558 |
|
|
- type: mrr_at_100 |
|
|
value: 25.439 |
|
|
- type: mrr_at_1000 |
|
|
value: 25.509999999999998 |
|
|
- type: mrr_at_3 |
|
|
value: 23.185 |
|
|
- type: mrr_at_5 |
|
|
value: 23.852 |
|
|
- type: ndcg_at_1 |
|
|
value: 19.172 |
|
|
- type: ndcg_at_10 |
|
|
value: 25.189 |
|
|
- type: ndcg_at_100 |
|
|
value: 29.918 |
|
|
- type: ndcg_at_1000 |
|
|
value: 32.677 |
|
|
- type: ndcg_at_3 |
|
|
value: 22.496 |
|
|
- type: ndcg_at_5 |
|
|
value: 23.677 |
|
|
- type: precision_at_1 |
|
|
value: 19.172 |
|
|
- type: precision_at_10 |
|
|
value: 3.834 |
|
|
- type: precision_at_100 |
|
|
value: 0.679 |
|
|
- type: precision_at_1000 |
|
|
value: 0.1 |
|
|
- type: precision_at_3 |
|
|
value: 9.611 |
|
|
- type: precision_at_5 |
|
|
value: 6.4719999999999995 |
|
|
- type: recall_at_1 |
|
|
value: 16.834 |
|
|
- type: recall_at_10 |
|
|
value: 32.554 |
|
|
- type: recall_at_100 |
|
|
value: 54.416 |
|
|
- type: recall_at_1000 |
|
|
value: 75.334 |
|
|
- type: recall_at_3 |
|
|
value: 25.057000000000002 |
|
|
- type: recall_at_5 |
|
|
value: 28.155 |
|
|
- task: |
|
|
type: Retrieval |
|
|
dataset: |
|
|
type: BeIR/cqadupstack |
|
|
name: MTEB CQADupstackTexRetrieval |
|
|
config: default |
|
|
split: test |
|
|
revision: None |
|
|
metrics: |
|
|
- type: map_at_1 |
|
|
value: 10.778 |
|
|
- type: map_at_10 |
|
|
value: 15.885 |
|
|
- type: map_at_100 |
|
|
value: 16.716 |
|
|
- type: map_at_1000 |
|
|
value: 16.838 |
|
|
- type: map_at_3 |
|
|
value: 14.283999999999999 |
|
|
- type: map_at_5 |
|
|
value: 15.067 |
|
|
- type: mrr_at_1 |
|
|
value: 13.421 |
|
|
- type: mrr_at_10 |
|
|
value: 19.022 |
|
|
- type: mrr_at_100 |
|
|
value: 19.819 |
|
|
- type: mrr_at_1000 |
|
|
value: 19.912 |
|
|
- type: mrr_at_3 |
|
|
value: 17.366 |
|
|
- type: mrr_at_5 |
|
|
value: 18.18 |
|
|
- type: ndcg_at_1 |
|
|
value: 13.421 |
|
|
- type: ndcg_at_10 |
|
|
value: 19.375 |
|
|
- type: ndcg_at_100 |
|
|
value: 23.733999999999998 |
|
|
- type: ndcg_at_1000 |
|
|
value: 26.878 |
|
|
- type: ndcg_at_3 |
|
|
value: 16.383 |
|
|
- type: ndcg_at_5 |
|
|
value: 17.53 |
|
|
- type: precision_at_1 |
|
|
value: 13.421 |
|
|
- type: precision_at_10 |
|
|
value: 3.637 |
|
|
- type: precision_at_100 |
|
|
value: 0.681 |
|
|
- type: precision_at_1000 |
|
|
value: 0.11100000000000002 |
|
|
- type: precision_at_3 |
|
|
value: 7.983 |
|
|
- type: precision_at_5 |
|
|
value: 5.671 |
|
|
- type: recall_at_1 |
|
|
value: 10.778 |
|
|
- type: recall_at_10 |
|
|
value: 26.985999999999997 |
|
|
- type: recall_at_100 |
|
|
value: 47.143 |
|
|
- type: recall_at_1000 |
|
|
value: 69.842 |
|
|
- type: recall_at_3 |
|
|
value: 18.289 |
|
|
- type: recall_at_5 |
|
|
value: 21.459 |
|
|
- task: |
|
|
type: Retrieval |
|
|
dataset: |
|
|
type: BeIR/cqadupstack |
|
|
name: MTEB CQADupstackUnixRetrieval |
|
|
config: default |
|
|
split: test |
|
|
revision: None |
|
|
metrics: |
|
|
- type: map_at_1 |
|
|
value: 17.077 |
|
|
- type: map_at_10 |
|
|
value: 23.31 |
|
|
- type: map_at_100 |
|
|
value: 24.351 |
|
|
- type: map_at_1000 |
|
|
value: 24.471 |
|
|
- type: map_at_3 |
|
|
value: 21.272 |
|
|
- type: map_at_5 |
|
|
value: 22.320999999999998 |
|
|
- type: mrr_at_1 |
|
|
value: 19.683 |
|
|
- type: mrr_at_10 |
|
|
value: 26.44 |
|
|
- type: mrr_at_100 |
|
|
value: 27.395000000000003 |
|
|
- type: mrr_at_1000 |
|
|
value: 27.479 |
|
|
- type: mrr_at_3 |
|
|
value: 24.549000000000003 |
|
|
- type: mrr_at_5 |
|
|
value: 25.477 |
|
|
- type: ndcg_at_1 |
|
|
value: 19.683 |
|
|
- type: ndcg_at_10 |
|
|
value: 27.33 |
|
|
- type: ndcg_at_100 |
|
|
value: 32.595 |
|
|
- type: ndcg_at_1000 |
|
|
value: 35.671 |
|
|
- type: ndcg_at_3 |
|
|
value: 23.536 |
|
|
- type: ndcg_at_5 |
|
|
value: 25.09 |
|
|
- type: precision_at_1 |
|
|
value: 19.683 |
|
|
- type: precision_at_10 |
|
|
value: 4.711 |
|
|
- type: precision_at_100 |
|
|
value: 0.84 |
|
|
- type: precision_at_1000 |
|
|
value: 0.121 |
|
|
- type: precision_at_3 |
|
|
value: 10.697 |
|
|
- type: precision_at_5 |
|
|
value: 7.5 |
|
|
- type: recall_at_1 |
|
|
value: 17.077 |
|
|
- type: recall_at_10 |
|
|
value: 36.532 |
|
|
- type: recall_at_100 |
|
|
value: 59.955999999999996 |
|
|
- type: recall_at_1000 |
|
|
value: 82.536 |
|
|
- type: recall_at_3 |
|
|
value: 25.982 |
|
|
- type: recall_at_5 |
|
|
value: 29.965999999999998 |
|
|
- task: |
|
|
type: Retrieval |
|
|
dataset: |
|
|
type: BeIR/cqadupstack |
|
|
name: MTEB CQADupstackWebmastersRetrieval |
|
|
config: default |
|
|
split: test |
|
|
revision: None |
|
|
metrics: |
|
|
- type: map_at_1 |
|
|
value: 17.137 |
|
|
- type: map_at_10 |
|
|
value: 23.889 |
|
|
- type: map_at_100 |
|
|
value: 25.089 |
|
|
- type: map_at_1000 |
|
|
value: 25.284000000000002 |
|
|
- type: map_at_3 |
|
|
value: 21.844 |
|
|
- type: map_at_5 |
|
|
value: 23.185 |
|
|
- type: mrr_at_1 |
|
|
value: 20.552999999999997 |
|
|
- type: mrr_at_10 |
|
|
value: 27.996 |
|
|
- type: mrr_at_100 |
|
|
value: 28.921000000000003 |
|
|
- type: mrr_at_1000 |
|
|
value: 28.999999999999996 |
|
|
- type: mrr_at_3 |
|
|
value: 25.955000000000002 |
|
|
- type: mrr_at_5 |
|
|
value: 27.269 |
|
|
- type: ndcg_at_1 |
|
|
value: 20.552999999999997 |
|
|
- type: ndcg_at_10 |
|
|
value: 28.555000000000003 |
|
|
- type: ndcg_at_100 |
|
|
value: 34.035 |
|
|
- type: ndcg_at_1000 |
|
|
value: 37.466 |
|
|
- type: ndcg_at_3 |
|
|
value: 25.105 |
|
|
- type: ndcg_at_5 |
|
|
value: 27.13 |
|
|
- type: precision_at_1 |
|
|
value: 20.552999999999997 |
|
|
- type: precision_at_10 |
|
|
value: 5.534 |
|
|
- type: precision_at_100 |
|
|
value: 1.117 |
|
|
- type: precision_at_1000 |
|
|
value: 0.20400000000000001 |
|
|
- type: precision_at_3 |
|
|
value: 12.253 |
|
|
- type: precision_at_5 |
|
|
value: 9.17 |
|
|
- type: recall_at_1 |
|
|
value: 17.137 |
|
|
- type: recall_at_10 |
|
|
value: 37.527 |
|
|
- type: recall_at_100 |
|
|
value: 62.905 |
|
|
- type: recall_at_1000 |
|
|
value: 85.839 |
|
|
- type: recall_at_3 |
|
|
value: 27.262999999999998 |
|
|
- type: recall_at_5 |
|
|
value: 32.735 |
|
|
- task: |
|
|
type: Retrieval |
|
|
dataset: |
|
|
type: BeIR/cqadupstack |
|
|
name: MTEB CQADupstackWordpressRetrieval |
|
|
config: default |
|
|
split: test |
|
|
revision: None |
|
|
metrics: |
|
|
- type: map_at_1 |
|
|
value: 13.253 |
|
|
- type: map_at_10 |
|
|
value: 19.185 |
|
|
- type: map_at_100 |
|
|
value: 19.972 |
|
|
- type: map_at_1000 |
|
|
value: 20.094 |
|
|
- type: map_at_3 |
|
|
value: 17.076 |
|
|
- type: map_at_5 |
|
|
value: 18.207 |
|
|
- type: mrr_at_1 |
|
|
value: 14.418000000000001 |
|
|
- type: mrr_at_10 |
|
|
value: 20.881 |
|
|
- type: mrr_at_100 |
|
|
value: 21.632 |
|
|
- type: mrr_at_1000 |
|
|
value: 21.73 |
|
|
- type: mrr_at_3 |
|
|
value: 18.731 |
|
|
- type: mrr_at_5 |
|
|
value: 19.914 |
|
|
- type: ndcg_at_1 |
|
|
value: 14.418000000000001 |
|
|
- type: ndcg_at_10 |
|
|
value: 23.146 |
|
|
- type: ndcg_at_100 |
|
|
value: 27.389999999999997 |
|
|
- type: ndcg_at_1000 |
|
|
value: 30.593999999999998 |
|
|
- type: ndcg_at_3 |
|
|
value: 18.843 |
|
|
- type: ndcg_at_5 |
|
|
value: 20.821 |
|
|
- type: precision_at_1 |
|
|
value: 14.418000000000001 |
|
|
- type: precision_at_10 |
|
|
value: 3.9190000000000005 |
|
|
- type: precision_at_100 |
|
|
value: 0.662 |
|
|
- type: precision_at_1000 |
|
|
value: 0.101 |
|
|
- type: precision_at_3 |
|
|
value: 8.195 |
|
|
- type: precision_at_5 |
|
|
value: 6.174 |
|
|
- type: recall_at_1 |
|
|
value: 13.253 |
|
|
- type: recall_at_10 |
|
|
value: 33.745999999999995 |
|
|
- type: recall_at_100 |
|
|
value: 54.027 |
|
|
- type: recall_at_1000 |
|
|
value: 78.321 |
|
|
- type: recall_at_3 |
|
|
value: 21.959 |
|
|
- type: recall_at_5 |
|
|
value: 26.747 |
|
|
- task: |
|
|
type: Retrieval |
|
|
dataset: |
|
|
type: climate-fever |
|
|
name: MTEB ClimateFEVER |
|
|
config: default |
|
|
split: test |
|
|
revision: None |
|
|
metrics: |
|
|
- type: ndcg_at_1 |
|
|
value: 9.446 |
|
|
- type: ndcg_at_3 |
|
|
value: 8.708 |
|
|
- type: ndcg_at_5 |
|
|
value: 9.583 |
|
|
- type: ndcg_at_10 |
|
|
value: 11.324 |
|
|
- type: ndcg_at_100 |
|
|
value: 16.563 |
|
|
- type: ndcg_at_1000 |
|
|
value: 20.402 |
|
|
- type: map_at_1 |
|
|
value: 4.407 |
|
|
- type: map_at_3 |
|
|
value: 6.283999999999999 |
|
|
- type: map_at_5 |
|
|
value: 6.888 |
|
|
- type: map_at_10 |
|
|
value: 7.545 |
|
|
- type: map_at_100 |
|
|
value: 8.502 |
|
|
- type: map_at_1000 |
|
|
value: 8.677 |
|
|
- type: recall_at_1 |
|
|
value: 4.407 |
|
|
- type: recall_at_3 |
|
|
value: 8.341999999999999 |
|
|
- type: recall_at_5 |
|
|
value: 10.609 |
|
|
- type: recall_at_10 |
|
|
value: 14.572 |
|
|
- type: recall_at_100 |
|
|
value: 33.802 |
|
|
- type: recall_at_1000 |
|
|
value: 56.13 |
|
|
- type: precision_at_1 |
|
|
value: 9.446 |
|
|
- type: precision_at_3 |
|
|
value: 6.3839999999999995 |
|
|
- type: precision_at_5 |
|
|
value: 5.029 |
|
|
- type: precision_at_10 |
|
|
value: 3.655 |
|
|
- type: precision_at_100 |
|
|
value: 0.9169999999999999 |
|
|
- type: precision_at_1000 |
|
|
value: 0.159 |
|
|
- type: mrr_at_1 |
|
|
value: 9.446 |
|
|
- type: mrr_at_3 |
|
|
value: 12.975 |
|
|
- type: mrr_at_5 |
|
|
value: 14.102 |
|
|
- type: mrr_at_10 |
|
|
value: 15.223999999999998 |
|
|
- type: mrr_at_100 |
|
|
value: 16.378 |
|
|
- type: mrr_at_1000 |
|
|
value: 16.469 |
|
|
- task: |
|
|
type: Retrieval |
|
|
dataset: |
|
|
type: dbpedia-entity |
|
|
name: MTEB DBPedia |
|
|
config: default |
|
|
split: test |
|
|
revision: None |
|
|
metrics: |
|
|
- type: map_at_1 |
|
|
value: 4.3839999999999995 |
|
|
- type: map_at_10 |
|
|
value: 8.92 |
|
|
- type: map_at_100 |
|
|
value: 12.509999999999998 |
|
|
- type: map_at_1000 |
|
|
value: 13.555 |
|
|
- type: map_at_3 |
|
|
value: 6.508 |
|
|
- type: map_at_5 |
|
|
value: 7.521 |
|
|
- type: mrr_at_1 |
|
|
value: 38.0 |
|
|
- type: mrr_at_10 |
|
|
value: 47.796 |
|
|
- type: mrr_at_100 |
|
|
value: 48.554 |
|
|
- type: mrr_at_1000 |
|
|
value: 48.579 |
|
|
- type: mrr_at_3 |
|
|
value: 44.708 |
|
|
- type: mrr_at_5 |
|
|
value: 46.521 |
|
|
- type: ndcg_at_1 |
|
|
value: 29.125 |
|
|
- type: ndcg_at_10 |
|
|
value: 22.126 |
|
|
- type: ndcg_at_100 |
|
|
value: 26.369999999999997 |
|
|
- type: ndcg_at_1000 |
|
|
value: 33.604 |
|
|
- type: ndcg_at_3 |
|
|
value: 24.102999999999998 |
|
|
- type: ndcg_at_5 |
|
|
value: 22.926 |
|
|
- type: precision_at_1 |
|
|
value: 38.0 |
|
|
- type: precision_at_10 |
|
|
value: 18.2 |
|
|
- type: precision_at_100 |
|
|
value: 6.208 |
|
|
- type: precision_at_1000 |
|
|
value: 1.3679999999999999 |
|
|
- type: precision_at_3 |
|
|
value: 26.5 |
|
|
- type: precision_at_5 |
|
|
value: 22.900000000000002 |
|
|
- type: recall_at_1 |
|
|
value: 4.3839999999999995 |
|
|
- type: recall_at_10 |
|
|
value: 13.520999999999999 |
|
|
- type: recall_at_100 |
|
|
value: 33.053 |
|
|
- type: recall_at_1000 |
|
|
value: 56.516 |
|
|
- type: recall_at_3 |
|
|
value: 7.515 |
|
|
- type: recall_at_5 |
|
|
value: 9.775 |
|
|
- task: |
|
|
type: Classification |
|
|
dataset: |
|
|
type: mteb/emotion |
|
|
name: MTEB EmotionClassification |
|
|
config: default |
|
|
split: test |
|
|
revision: 4f58c6b202a23cf9a4da393831edf4f9183cad37 |
|
|
metrics: |
|
|
- type: accuracy |
|
|
value: 90.38999999999999 |
|
|
- type: f1 |
|
|
value: 87.12778738994012 |
|
|
- task: |
|
|
type: Retrieval |
|
|
dataset: |
|
|
type: fever |
|
|
name: MTEB FEVER |
|
|
config: default |
|
|
split: test |
|
|
revision: None |
|
|
metrics: |
|
|
- type: map_at_1 |
|
|
value: 70.132 |
|
|
- type: map_at_10 |
|
|
value: 79.527 |
|
|
- type: map_at_100 |
|
|
value: 79.81200000000001 |
|
|
- type: map_at_1000 |
|
|
value: 79.828 |
|
|
- type: map_at_3 |
|
|
value: 78.191 |
|
|
- type: map_at_5 |
|
|
value: 79.092 |
|
|
- type: mrr_at_1 |
|
|
value: 75.563 |
|
|
- type: mrr_at_10 |
|
|
value: 83.80199999999999 |
|
|
- type: mrr_at_100 |
|
|
value: 83.93 |
|
|
- type: mrr_at_1000 |
|
|
value: 83.933 |
|
|
- type: mrr_at_3 |
|
|
value: 82.818 |
|
|
- type: mrr_at_5 |
|
|
value: 83.505 |
|
|
- type: ndcg_at_1 |
|
|
value: 75.563 |
|
|
- type: ndcg_at_10 |
|
|
value: 83.692 |
|
|
- type: ndcg_at_100 |
|
|
value: 84.706 |
|
|
- type: ndcg_at_1000 |
|
|
value: 85.001 |
|
|
- type: ndcg_at_3 |
|
|
value: 81.51 |
|
|
- type: ndcg_at_5 |
|
|
value: 82.832 |
|
|
- type: precision_at_1 |
|
|
value: 75.563 |
|
|
- type: precision_at_10 |
|
|
value: 10.245 |
|
|
- type: precision_at_100 |
|
|
value: 1.0959999999999999 |
|
|
- type: precision_at_1000 |
|
|
value: 0.11399999999999999 |
|
|
- type: precision_at_3 |
|
|
value: 31.518 |
|
|
- type: precision_at_5 |
|
|
value: 19.772000000000002 |
|
|
- type: recall_at_1 |
|
|
value: 70.132 |
|
|
- type: recall_at_10 |
|
|
value: 92.204 |
|
|
- type: recall_at_100 |
|
|
value: 96.261 |
|
|
- type: recall_at_1000 |
|
|
value: 98.17399999999999 |
|
|
- type: recall_at_3 |
|
|
value: 86.288 |
|
|
- type: recall_at_5 |
|
|
value: 89.63799999999999 |
|
|
- task: |
|
|
type: Retrieval |
|
|
dataset: |
|
|
type: fiqa |
|
|
name: MTEB FiQA2018 |
|
|
config: default |
|
|
split: test |
|
|
revision: None |
|
|
metrics: |
|
|
- type: map_at_1 |
|
|
value: 7.688000000000001 |
|
|
- type: map_at_10 |
|
|
value: 13.839000000000002 |
|
|
- type: map_at_100 |
|
|
value: 15.082999999999998 |
|
|
- type: map_at_1000 |
|
|
value: 15.276 |
|
|
- type: map_at_3 |
|
|
value: 11.662 |
|
|
- type: map_at_5 |
|
|
value: 12.827 |
|
|
- type: mrr_at_1 |
|
|
value: 15.741 |
|
|
- type: mrr_at_10 |
|
|
value: 23.304 |
|
|
- type: mrr_at_100 |
|
|
value: 24.239 |
|
|
- type: mrr_at_1000 |
|
|
value: 24.319 |
|
|
- type: mrr_at_3 |
|
|
value: 20.962 |
|
|
- type: mrr_at_5 |
|
|
value: 22.243 |
|
|
- type: ndcg_at_1 |
|
|
value: 15.741 |
|
|
- type: ndcg_at_10 |
|
|
value: 18.914 |
|
|
- type: ndcg_at_100 |
|
|
value: 24.742 |
|
|
- type: ndcg_at_1000 |
|
|
value: 28.938000000000002 |
|
|
- type: ndcg_at_3 |
|
|
value: 16.181 |
|
|
- type: ndcg_at_5 |
|
|
value: 17.078 |
|
|
- type: precision_at_1 |
|
|
value: 15.741 |
|
|
- type: precision_at_10 |
|
|
value: 5.7410000000000005 |
|
|
- type: precision_at_100 |
|
|
value: 1.168 |
|
|
- type: precision_at_1000 |
|
|
value: 0.19 |
|
|
- type: precision_at_3 |
|
|
value: 11.368 |
|
|
- type: precision_at_5 |
|
|
value: 8.735 |
|
|
- type: recall_at_1 |
|
|
value: 7.688000000000001 |
|
|
- type: recall_at_10 |
|
|
value: 24.442 |
|
|
- type: recall_at_100 |
|
|
value: 47.288999999999994 |
|
|
- type: recall_at_1000 |
|
|
value: 73.49900000000001 |
|
|
- type: recall_at_3 |
|
|
value: 15.15 |
|
|
- type: recall_at_5 |
|
|
value: 18.858 |
|
|
- task: |
|
|
type: Retrieval |
|
|
dataset: |
|
|
type: hotpotqa |
|
|
name: MTEB HotpotQA |
|
|
config: default |
|
|
split: test |
|
|
revision: None |
|
|
metrics: |
|
|
- type: map_at_1 |
|
|
value: 40.412 |
|
|
- type: map_at_10 |
|
|
value: 66.376 |
|
|
- type: map_at_100 |
|
|
value: 67.217 |
|
|
- type: map_at_1000 |
|
|
value: 67.271 |
|
|
- type: map_at_3 |
|
|
value: 62.741 |
|
|
- type: map_at_5 |
|
|
value: 65.069 |
|
|
- type: mrr_at_1 |
|
|
value: 80.824 |
|
|
- type: mrr_at_10 |
|
|
value: 86.53 |
|
|
- type: mrr_at_100 |
|
|
value: 86.67399999999999 |
|
|
- type: mrr_at_1000 |
|
|
value: 86.678 |
|
|
- type: mrr_at_3 |
|
|
value: 85.676 |
|
|
- type: mrr_at_5 |
|
|
value: 86.256 |
|
|
- type: ndcg_at_1 |
|
|
value: 80.824 |
|
|
- type: ndcg_at_10 |
|
|
value: 74.332 |
|
|
- type: ndcg_at_100 |
|
|
value: 77.154 |
|
|
- type: ndcg_at_1000 |
|
|
value: 78.12400000000001 |
|
|
- type: ndcg_at_3 |
|
|
value: 69.353 |
|
|
- type: ndcg_at_5 |
|
|
value: 72.234 |
|
|
- type: precision_at_1 |
|
|
value: 80.824 |
|
|
- type: precision_at_10 |
|
|
value: 15.652 |
|
|
- type: precision_at_100 |
|
|
value: 1.7840000000000003 |
|
|
- type: precision_at_1000 |
|
|
value: 0.191 |
|
|
- type: precision_at_3 |
|
|
value: 44.911 |
|
|
- type: precision_at_5 |
|
|
value: 29.221000000000004 |
|
|
- type: recall_at_1 |
|
|
value: 40.412 |
|
|
- type: recall_at_10 |
|
|
value: 78.25800000000001 |
|
|
- type: recall_at_100 |
|
|
value: 89.196 |
|
|
- type: recall_at_1000 |
|
|
value: 95.544 |
|
|
- type: recall_at_3 |
|
|
value: 67.367 |
|
|
- type: recall_at_5 |
|
|
value: 73.05199999999999 |
|
|
- task: |
|
|
type: Classification |
|
|
dataset: |
|
|
type: mteb/imdb |
|
|
name: MTEB ImdbClassification |
|
|
config: default |
|
|
split: test |
|
|
revision: 3d86128a09e091d6018b6d26cad27f2739fc2db7 |
|
|
metrics: |
|
|
- type: accuracy |
|
|
value: 88.8228 |
|
|
- type: ap |
|
|
value: 84.52103126779862 |
|
|
- type: f1 |
|
|
value: 88.797782219813 |
|
|
- task: |
|
|
type: Retrieval |
|
|
dataset: |
|
|
type: msmarco |
|
|
name: MTEB MSMARCO |
|
|
config: default |
|
|
split: dev |
|
|
revision: None |
|
|
metrics: |
|
|
- type: map_at_1 |
|
|
value: 8.461 |
|
|
- type: map_at_10 |
|
|
value: 14.979999999999999 |
|
|
- type: map_at_100 |
|
|
value: 16.032 |
|
|
- type: map_at_1000 |
|
|
value: 16.128 |
|
|
- type: map_at_3 |
|
|
value: 12.64 |
|
|
- type: map_at_5 |
|
|
value: 13.914000000000001 |
|
|
- type: mrr_at_1 |
|
|
value: 8.681999999999999 |
|
|
- type: mrr_at_10 |
|
|
value: 15.341 |
|
|
- type: mrr_at_100 |
|
|
value: 16.377 |
|
|
- type: mrr_at_1000 |
|
|
value: 16.469 |
|
|
- type: mrr_at_3 |
|
|
value: 12.963 |
|
|
- type: mrr_at_5 |
|
|
value: 14.262 |
|
|
- type: ndcg_at_1 |
|
|
value: 8.681999999999999 |
|
|
- type: ndcg_at_10 |
|
|
value: 19.045 |
|
|
- type: ndcg_at_100 |
|
|
value: 24.735 |
|
|
- type: ndcg_at_1000 |
|
|
value: 27.556000000000004 |
|
|
- type: ndcg_at_3 |
|
|
value: 14.154 |
|
|
- type: ndcg_at_5 |
|
|
value: 16.448 |
|
|
- type: precision_at_1 |
|
|
value: 8.681999999999999 |
|
|
- type: precision_at_10 |
|
|
value: 3.292 |
|
|
- type: precision_at_100 |
|
|
value: 0.623 |
|
|
- type: precision_at_1000 |
|
|
value: 0.087 |
|
|
- type: precision_at_3 |
|
|
value: 6.275 |
|
|
- type: precision_at_5 |
|
|
value: 4.92 |
|
|
- type: recall_at_1 |
|
|
value: 8.461 |
|
|
- type: recall_at_10 |
|
|
value: 31.729000000000003 |
|
|
- type: recall_at_100 |
|
|
value: 59.367000000000004 |
|
|
- type: recall_at_1000 |
|
|
value: 81.86 |
|
|
- type: recall_at_3 |
|
|
value: 18.234 |
|
|
- type: recall_at_5 |
|
|
value: 23.74 |
|
|
- task: |
|
|
type: Classification |
|
|
dataset: |
|
|
type: mteb/mtop_domain |
|
|
name: MTEB MTOPDomainClassification (en) |
|
|
config: en |
|
|
split: test |
|
|
revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf |
|
|
metrics: |
|
|
- type: accuracy |
|
|
value: 98.1623347013224 |
|
|
- type: f1 |
|
|
value: 97.95934123221338 |
|
|
- task: |
|
|
type: Classification |
|
|
dataset: |
|
|
type: mteb/mtop_intent |
|
|
name: MTEB MTOPIntentClassification (en) |
|
|
config: en |
|
|
split: test |
|
|
revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba |
|
|
metrics: |
|
|
- type: accuracy |
|
|
value: 93.0141358869129 |
|
|
- type: f1 |
|
|
value: 77.42161481798763 |
|
|
- task: |
|
|
type: Classification |
|
|
dataset: |
|
|
type: mteb/amazon_massive_intent |
|
|
name: MTEB MassiveIntentClassification (en) |
|
|
config: en |
|
|
split: test |
|
|
revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7 |
|
|
metrics: |
|
|
- type: accuracy |
|
|
value: 77.20242098184264 |
|
|
- type: f1 |
|
|
value: 73.64580701123289 |
|
|
- task: |
|
|
type: Classification |
|
|
dataset: |
|
|
type: mteb/amazon_massive_scenario |
|
|
name: MTEB MassiveScenarioClassification (en) |
|
|
config: en |
|
|
split: test |
|
|
revision: 7d571f92784cd94a019292a1f45445077d0ef634 |
|
|
metrics: |
|
|
- type: accuracy |
|
|
value: 88.38264963012777 |
|
|
- type: f1 |
|
|
value: 87.6445935642575 |
|
|
- task: |
|
|
type: Clustering |
|
|
dataset: |
|
|
type: mteb/medrxiv-clustering-p2p |
|
|
name: MTEB MedrxivClusteringP2P |
|
|
config: default |
|
|
split: test |
|
|
revision: e7a26af6f3ae46b30dde8737f02c07b1505bcc73 |
|
|
metrics: |
|
|
- type: v_measure |
|
|
value: 28.982276213044095 |
|
|
- task: |
|
|
type: Clustering |
|
|
dataset: |
|
|
type: mteb/medrxiv-clustering-s2s |
|
|
name: MTEB MedrxivClusteringS2S |
|
|
config: default |
|
|
split: test |
|
|
revision: 35191c8c0dca72d8ff3efcd72aa802307d469663 |
|
|
metrics: |
|
|
- type: v_measure |
|
|
value: 26.08731318128303 |
|
|
- task: |
|
|
type: Reranking |
|
|
dataset: |
|
|
type: mteb/mind_small |
|
|
name: MTEB MindSmallReranking |
|
|
config: default |
|
|
split: test |
|
|
revision: 3bdac13927fdc888b903db93b2ffdbd90b295a69 |
|
|
metrics: |
|
|
- type: map |
|
|
value: 29.680164236394784 |
|
|
- type: mrr |
|
|
value: 30.60242075910688 |
|
|
- task: |
|
|
type: Retrieval |
|
|
dataset: |
|
|
type: nfcorpus |
|
|
name: MTEB NFCorpus |
|
|
config: default |
|
|
split: test |
|
|
revision: None |
|
|
metrics: |
|
|
- type: map_at_1 |
|
|
value: 4.35 |
|
|
- type: map_at_10 |
|
|
value: 10.03 |
|
|
- type: map_at_100 |
|
|
value: 12.61 |
|
|
- type: map_at_1000 |
|
|
value: 13.916999999999998 |
|
|
- type: map_at_3 |
|
|
value: 7.428 |
|
|
- type: map_at_5 |
|
|
value: 8.625 |
|
|
- type: mrr_at_1 |
|
|
value: 39.009 |
|
|
- type: mrr_at_10 |
|
|
value: 47.63 |
|
|
- type: mrr_at_100 |
|
|
value: 48.259 |
|
|
- type: mrr_at_1000 |
|
|
value: 48.302 |
|
|
- type: mrr_at_3 |
|
|
value: 45.408 |
|
|
- type: mrr_at_5 |
|
|
value: 46.971000000000004 |
|
|
- type: ndcg_at_1 |
|
|
value: 36.997 |
|
|
- type: ndcg_at_10 |
|
|
value: 28.781000000000002 |
|
|
- type: ndcg_at_100 |
|
|
value: 26.644000000000002 |
|
|
- type: ndcg_at_1000 |
|
|
value: 35.812 |
|
|
- type: ndcg_at_3 |
|
|
value: 34.056 |
|
|
- type: ndcg_at_5 |
|
|
value: 31.804 |
|
|
- type: precision_at_1 |
|
|
value: 38.080000000000005 |
|
|
- type: precision_at_10 |
|
|
value: 20.96 |
|
|
- type: precision_at_100 |
|
|
value: 6.808 |
|
|
- type: precision_at_1000 |
|
|
value: 1.991 |
|
|
- type: precision_at_3 |
|
|
value: 32.095 |
|
|
- type: precision_at_5 |
|
|
value: 27.43 |
|
|
- type: recall_at_1 |
|
|
value: 4.35 |
|
|
- type: recall_at_10 |
|
|
value: 14.396 |
|
|
- type: recall_at_100 |
|
|
value: 28.126 |
|
|
- type: recall_at_1000 |
|
|
value: 60.785 |
|
|
- type: recall_at_3 |
|
|
value: 9.001000000000001 |
|
|
- type: recall_at_5 |
|
|
value: 11.197 |
|
|
- task: |
|
|
type: Retrieval |
|
|
dataset: |
|
|
type: nq |
|
|
name: MTEB NQ |
|
|
config: default |
|
|
split: test |
|
|
revision: None |
|
|
metrics: |
|
|
- type: map_at_1 |
|
|
value: 9.408 |
|
|
- type: map_at_10 |
|
|
value: 17.247 |
|
|
- type: map_at_100 |
|
|
value: 18.578 |
|
|
- type: map_at_1000 |
|
|
value: 18.683 |
|
|
- type: map_at_3 |
|
|
value: 14.424999999999999 |
|
|
- type: map_at_5 |
|
|
value: 15.967999999999998 |
|
|
- type: mrr_at_1 |
|
|
value: 10.718 |
|
|
- type: mrr_at_10 |
|
|
value: 18.974 |
|
|
- type: mrr_at_100 |
|
|
value: 20.153 |
|
|
- type: mrr_at_1000 |
|
|
value: 20.238 |
|
|
- type: mrr_at_3 |
|
|
value: 16.087 |
|
|
- type: mrr_at_5 |
|
|
value: 17.685000000000002 |
|
|
- type: ndcg_at_1 |
|
|
value: 10.718 |
|
|
- type: ndcg_at_10 |
|
|
value: 22.313 |
|
|
- type: ndcg_at_100 |
|
|
value: 28.810999999999996 |
|
|
- type: ndcg_at_1000 |
|
|
value: 31.495 |
|
|
- type: ndcg_at_3 |
|
|
value: 16.487 |
|
|
- type: ndcg_at_5 |
|
|
value: 19.252 |
|
|
- type: precision_at_1 |
|
|
value: 10.718 |
|
|
- type: precision_at_10 |
|
|
value: 4.256 |
|
|
- type: precision_at_100 |
|
|
value: 0.7979999999999999 |
|
|
- type: precision_at_1000 |
|
|
value: 0.105 |
|
|
- type: precision_at_3 |
|
|
value: 7.976 |
|
|
- type: precision_at_5 |
|
|
value: 6.3149999999999995 |
|
|
- type: recall_at_1 |
|
|
value: 9.408 |
|
|
- type: recall_at_10 |
|
|
value: 36.364999999999995 |
|
|
- type: recall_at_100 |
|
|
value: 66.16499999999999 |
|
|
- type: recall_at_1000 |
|
|
value: 86.47399999999999 |
|
|
- type: recall_at_3 |
|
|
value: 20.829 |
|
|
- type: recall_at_5 |
|
|
value: 27.296 |
|
|
- task: |
|
|
type: Retrieval |
|
|
dataset: |
|
|
type: quora |
|
|
name: MTEB QuoraRetrieval |
|
|
config: default |
|
|
split: test |
|
|
revision: None |
|
|
metrics: |
|
|
- type: map_at_1 |
|
|
value: 65.499 |
|
|
- type: map_at_10 |
|
|
value: 78.432 |
|
|
- type: map_at_100 |
|
|
value: 79.169 |
|
|
- type: map_at_1000 |
|
|
value: 79.199 |
|
|
- type: map_at_3 |
|
|
value: 75.476 |
|
|
- type: map_at_5 |
|
|
value: 77.28399999999999 |
|
|
- type: mrr_at_1 |
|
|
value: 75.55 |
|
|
- type: mrr_at_10 |
|
|
value: 82.16499999999999 |
|
|
- type: mrr_at_100 |
|
|
value: 82.37 |
|
|
- type: mrr_at_1000 |
|
|
value: 82.375 |
|
|
- type: mrr_at_3 |
|
|
value: 80.925 |
|
|
- type: mrr_at_5 |
|
|
value: 81.748 |
|
|
- type: ndcg_at_1 |
|
|
value: 75.58 |
|
|
- type: ndcg_at_10 |
|
|
value: 82.663 |
|
|
- type: ndcg_at_100 |
|
|
value: 84.526 |
|
|
- type: ndcg_at_1000 |
|
|
value: 84.843 |
|
|
- type: ndcg_at_3 |
|
|
value: 79.38300000000001 |
|
|
- type: ndcg_at_5 |
|
|
value: 81.133 |
|
|
- type: precision_at_1 |
|
|
value: 75.58 |
|
|
- type: precision_at_10 |
|
|
value: 12.562000000000001 |
|
|
- type: precision_at_100 |
|
|
value: 1.48 |
|
|
- type: precision_at_1000 |
|
|
value: 0.155 |
|
|
- type: precision_at_3 |
|
|
value: 34.583000000000006 |
|
|
- type: precision_at_5 |
|
|
value: 22.858 |
|
|
- type: recall_at_1 |
|
|
value: 65.499 |
|
|
- type: recall_at_10 |
|
|
value: 90.71000000000001 |
|
|
- type: recall_at_100 |
|
|
value: 97.717 |
|
|
- type: recall_at_1000 |
|
|
value: 99.551 |
|
|
- type: recall_at_3 |
|
|
value: 81.273 |
|
|
- type: recall_at_5 |
|
|
value: 86.172 |
|
|
- task: |
|
|
type: Clustering |
|
|
dataset: |
|
|
type: mteb/reddit-clustering |
|
|
name: MTEB RedditClustering |
|
|
config: default |
|
|
split: test |
|
|
revision: 24640382cdbf8abc73003fb0fa6d111a705499eb |
|
|
metrics: |
|
|
- type: v_measure |
|
|
value: 43.28689524907211 |
|
|
- task: |
|
|
type: Clustering |
|
|
dataset: |
|
|
type: mteb/reddit-clustering-p2p |
|
|
name: MTEB RedditClusteringP2P |
|
|
config: default |
|
|
split: test |
|
|
revision: 282350215ef01743dc01b456c7f5241fa8937f16 |
|
|
metrics: |
|
|
- type: v_measure |
|
|
value: 54.41734813535957 |
|
|
- task: |
|
|
type: Retrieval |
|
|
dataset: |
|
|
type: scidocs |
|
|
name: MTEB SCIDOCS |
|
|
config: default |
|
|
split: test |
|
|
revision: None |
|
|
metrics: |
|
|
- type: map_at_1 |
|
|
value: 3.305 |
|
|
- type: map_at_10 |
|
|
value: 8.502 |
|
|
- type: map_at_100 |
|
|
value: 10.288 |
|
|
- type: map_at_1000 |
|
|
value: 10.599 |
|
|
- type: map_at_3 |
|
|
value: 6.146 |
|
|
- type: map_at_5 |
|
|
value: 7.207 |
|
|
- type: mrr_at_1 |
|
|
value: 16.400000000000002 |
|
|
- type: mrr_at_10 |
|
|
value: 26.054 |
|
|
- type: mrr_at_100 |
|
|
value: 27.319 |
|
|
- type: mrr_at_1000 |
|
|
value: 27.400000000000002 |
|
|
- type: mrr_at_3 |
|
|
value: 22.967000000000002 |
|
|
- type: mrr_at_5 |
|
|
value: 24.542 |
|
|
- type: ndcg_at_1 |
|
|
value: 16.400000000000002 |
|
|
- type: ndcg_at_10 |
|
|
value: 14.943000000000001 |
|
|
- type: ndcg_at_100 |
|
|
value: 22.596 |
|
|
- type: ndcg_at_1000 |
|
|
value: 28.345 |
|
|
- type: ndcg_at_3 |
|
|
value: 14.011000000000001 |
|
|
- type: ndcg_at_5 |
|
|
value: 12.065 |
|
|
- type: precision_at_1 |
|
|
value: 16.400000000000002 |
|
|
- type: precision_at_10 |
|
|
value: 7.93 |
|
|
- type: precision_at_100 |
|
|
value: 1.902 |
|
|
- type: precision_at_1000 |
|
|
value: 0.328 |
|
|
- type: precision_at_3 |
|
|
value: 13.233 |
|
|
- type: precision_at_5 |
|
|
value: 10.620000000000001 |
|
|
- type: recall_at_1 |
|
|
value: 3.305 |
|
|
- type: recall_at_10 |
|
|
value: 16.07 |
|
|
- type: recall_at_100 |
|
|
value: 38.592999999999996 |
|
|
- type: recall_at_1000 |
|
|
value: 66.678 |
|
|
- type: recall_at_3 |
|
|
value: 8.025 |
|
|
- type: recall_at_5 |
|
|
value: 10.743 |
|
|
- task: |
|
|
type: STS |
|
|
dataset: |
|
|
type: mteb/sickr-sts |
|
|
name: MTEB SICK-R |
|
|
config: default |
|
|
split: test |
|
|
revision: a6ea5a8cab320b040a23452cc28066d9beae2cee |
|
|
metrics: |
|
|
- type: cos_sim_pearson |
|
|
value: 94.03602783680165 |
|
|
- type: cos_sim_spearman |
|
|
value: 91.93466287712853 |
|
|
- type: euclidean_pearson |
|
|
value: 91.5804659261222 |
|
|
- type: euclidean_spearman |
|
|
value: 91.84239224991634 |
|
|
- type: manhattan_pearson |
|
|
value: 91.57789872896991 |
|
|
- type: manhattan_spearman |
|
|
value: 91.82031929038708 |
|
|
- task: |
|
|
type: STS |
|
|
dataset: |
|
|
type: mteb/sts12-sts |
|
|
name: MTEB STS12 |
|
|
config: default |
|
|
split: test |
|
|
revision: a0d554a64d88156834ff5ae9920b964011b16384 |
|
|
metrics: |
|
|
- type: cos_sim_pearson |
|
|
value: 97.2530615783017 |
|
|
- type: cos_sim_spearman |
|
|
value: 95.61025838976805 |
|
|
- type: euclidean_pearson |
|
|
value: 95.41071037458771 |
|
|
- type: euclidean_spearman |
|
|
value: 95.6207550803838 |
|
|
- type: manhattan_pearson |
|
|
value: 95.39723545188045 |
|
|
- type: manhattan_spearman |
|
|
value: 95.61540593501014 |
|
|
- task: |
|
|
type: STS |
|
|
dataset: |
|
|
type: mteb/sts13-sts |
|
|
name: MTEB STS13 |
|
|
config: default |
|
|
split: test |
|
|
revision: 7e90230a92c190f1bf69ae9002b8cea547a64cca |
|
|
metrics: |
|
|
- type: cos_sim_pearson |
|
|
value: 95.27491458980685 |
|
|
- type: cos_sim_spearman |
|
|
value: 95.1521844663505 |
|
|
- type: euclidean_pearson |
|
|
value: 94.63883752108002 |
|
|
- type: euclidean_spearman |
|
|
value: 94.85954995945424 |
|
|
- type: manhattan_pearson |
|
|
value: 94.59749433419627 |
|
|
- type: manhattan_spearman |
|
|
value: 94.80626857571967 |
|
|
- task: |
|
|
type: STS |
|
|
dataset: |
|
|
type: mteb/sts14-sts |
|
|
name: MTEB STS14 |
|
|
config: default |
|
|
split: test |
|
|
revision: 6031580fec1f6af667f0bd2da0a551cf4f0b2375 |
|
|
metrics: |
|
|
- type: cos_sim_pearson |
|
|
value: 97.10518525877228 |
|
|
- type: cos_sim_spearman |
|
|
value: 96.85836209648471 |
|
|
- type: euclidean_pearson |
|
|
value: 95.8019730340664 |
|
|
- type: euclidean_spearman |
|
|
value: 96.78892865690494 |
|
|
- type: manhattan_pearson |
|
|
value: 95.79265816494754 |
|
|
- type: manhattan_spearman |
|
|
value: 96.7712534155723 |
|
|
- task: |
|
|
type: STS |
|
|
dataset: |
|
|
type: mteb/sts15-sts |
|
|
name: MTEB STS15 |
|
|
config: default |
|
|
split: test |
|
|
revision: ae752c7c21bf194d8b67fd573edf7ae58183cbe3 |
|
|
metrics: |
|
|
- type: cos_sim_pearson |
|
|
value: 96.66550105336606 |
|
|
- type: cos_sim_spearman |
|
|
value: 96.73134982392861 |
|
|
- type: euclidean_pearson |
|
|
value: 95.50375963201927 |
|
|
- type: euclidean_spearman |
|
|
value: 96.46785996403956 |
|
|
- type: manhattan_pearson |
|
|
value: 95.47555707089327 |
|
|
- type: manhattan_spearman |
|
|
value: 96.40825860300748 |
|
|
- task: |
|
|
type: STS |
|
|
dataset: |
|
|
type: mteb/sts16-sts |
|
|
name: MTEB STS16 |
|
|
config: default |
|
|
split: test |
|
|
revision: 4d8694f8f0e0100860b497b999b3dbed754a0513 |
|
|
metrics: |
|
|
- type: cos_sim_pearson |
|
|
value: 96.07365154052914 |
|
|
- type: cos_sim_spearman |
|
|
value: 96.1720485037732 |
|
|
- type: euclidean_pearson |
|
|
value: 95.58880196128803 |
|
|
- type: euclidean_spearman |
|
|
value: 96.02102007396296 |
|
|
- type: manhattan_pearson |
|
|
value: 95.60295336628664 |
|
|
- type: manhattan_spearman |
|
|
value: 96.03461694944212 |
|
|
- task: |
|
|
type: STS |
|
|
dataset: |
|
|
type: mteb/sts17-crosslingual-sts |
|
|
name: MTEB STS17 (en-en) |
|
|
config: en-en |
|
|
split: test |
|
|
revision: af5e6fb845001ecf41f4c1e033ce921939a2a68d |
|
|
metrics: |
|
|
- type: cos_sim_pearson |
|
|
value: 96.14907313714893 |
|
|
- type: cos_sim_spearman |
|
|
value: 96.14822520805113 |
|
|
- type: euclidean_pearson |
|
|
value: 95.62140726773103 |
|
|
- type: euclidean_spearman |
|
|
value: 96.01818385482282 |
|
|
- type: manhattan_pearson |
|
|
value: 95.60795162280982 |
|
|
- type: manhattan_spearman |
|
|
value: 96.00703635484169 |
|
|
- task: |
|
|
type: STS |
|
|
dataset: |
|
|
type: mteb/sts22-crosslingual-sts |
|
|
name: MTEB STS22 (en) |
|
|
config: en |
|
|
split: test |
|
|
revision: 6d1ba47164174a496b7fa5d3569dae26a6813b80 |
|
|
metrics: |
|
|
- type: cos_sim_pearson |
|
|
value: 66.35513203366195 |
|
|
- type: cos_sim_spearman |
|
|
value: 64.92002333937089 |
|
|
- type: euclidean_pearson |
|
|
value: 67.06304516009153 |
|
|
- type: euclidean_spearman |
|
|
value: 65.3504536039936 |
|
|
- type: manhattan_pearson |
|
|
value: 67.22016756598737 |
|
|
- type: manhattan_spearman |
|
|
value: 65.64455991383844 |
|
|
- task: |
|
|
type: STS |
|
|
dataset: |
|
|
type: mteb/stsbenchmark-sts |
|
|
name: MTEB STSBenchmark |
|
|
config: default |
|
|
split: test |
|
|
revision: b0fddb56ed78048fa8b90373c8a3cfc37b684831 |
|
|
metrics: |
|
|
- type: cos_sim_pearson |
|
|
value: 96.59372149477922 |
|
|
- type: cos_sim_spearman |
|
|
value: 96.97247348665515 |
|
|
- type: euclidean_pearson |
|
|
value: 95.64890160850817 |
|
|
- type: euclidean_spearman |
|
|
value: 96.84619618958573 |
|
|
- type: manhattan_pearson |
|
|
value: 95.65581449537562 |
|
|
- type: manhattan_spearman |
|
|
value: 96.853383309355 |
|
|
- task: |
|
|
type: Reranking |
|
|
dataset: |
|
|
type: mteb/scidocs-reranking |
|
|
name: MTEB SciDocsRR |
|
|
config: default |
|
|
split: test |
|
|
revision: d3c5e1fc0b855ab6097bf1cda04dd73947d7caab |
|
|
metrics: |
|
|
- type: map |
|
|
value: 79.9991957697061 |
|
|
- type: mrr |
|
|
value: 93.85864317236866 |
|
|
- task: |
|
|
type: Retrieval |
|
|
dataset: |
|
|
type: scifact |
|
|
name: MTEB SciFact |
|
|
config: default |
|
|
split: test |
|
|
revision: None |
|
|
metrics: |
|
|
- type: map_at_1 |
|
|
value: 42.25 |
|
|
- type: map_at_10 |
|
|
value: 51.257 |
|
|
- type: map_at_100 |
|
|
value: 52.261 |
|
|
- type: map_at_1000 |
|
|
value: 52.309000000000005 |
|
|
- type: map_at_3 |
|
|
value: 48.759 |
|
|
- type: map_at_5 |
|
|
value: 50.413 |
|
|
- type: mrr_at_1 |
|
|
value: 44.0 |
|
|
- type: mrr_at_10 |
|
|
value: 52.367 |
|
|
- type: mrr_at_100 |
|
|
value: 53.181999999999995 |
|
|
- type: mrr_at_1000 |
|
|
value: 53.223 |
|
|
- type: mrr_at_3 |
|
|
value: 50.222 |
|
|
- type: mrr_at_5 |
|
|
value: 51.656 |
|
|
- type: ndcg_at_1 |
|
|
value: 44.0 |
|
|
- type: ndcg_at_10 |
|
|
value: 55.672 |
|
|
- type: ndcg_at_100 |
|
|
value: 59.779 |
|
|
- type: ndcg_at_1000 |
|
|
value: 61.114999999999995 |
|
|
- type: ndcg_at_3 |
|
|
value: 51.136 |
|
|
- type: ndcg_at_5 |
|
|
value: 53.822 |
|
|
- type: precision_at_1 |
|
|
value: 44.0 |
|
|
- type: precision_at_10 |
|
|
value: 7.6 |
|
|
- type: precision_at_100 |
|
|
value: 0.9730000000000001 |
|
|
- type: precision_at_1000 |
|
|
value: 0.109 |
|
|
- type: precision_at_3 |
|
|
value: 20.111 |
|
|
- type: precision_at_5 |
|
|
value: 13.733 |
|
|
- type: recall_at_1 |
|
|
value: 42.25 |
|
|
- type: recall_at_10 |
|
|
value: 67.989 |
|
|
- type: recall_at_100 |
|
|
value: 85.56700000000001 |
|
|
- type: recall_at_1000 |
|
|
value: 96.267 |
|
|
- type: recall_at_3 |
|
|
value: 56.27799999999999 |
|
|
- type: recall_at_5 |
|
|
value: 62.678 |
|
|
- task: |
|
|
type: PairClassification |
|
|
dataset: |
|
|
type: mteb/sprintduplicatequestions-pairclassification |
|
|
name: MTEB SprintDuplicateQuestions |
|
|
config: default |
|
|
split: test |
|
|
revision: d66bd1f72af766a5cc4b0ca5e00c162f89e8cc46 |
|
|
metrics: |
|
|
- type: cos_sim_accuracy |
|
|
value: 99.75346534653465 |
|
|
- type: cos_sim_ap |
|
|
value: 92.92934020206276 |
|
|
- type: cos_sim_f1 |
|
|
value: 87.37373737373737 |
|
|
- type: cos_sim_precision |
|
|
value: 88.26530612244898 |
|
|
- type: cos_sim_recall |
|
|
value: 86.5 |
|
|
- type: dot_accuracy |
|
|
value: 99.7 |
|
|
- type: dot_ap |
|
|
value: 90.30253078505329 |
|
|
- type: dot_f1 |
|
|
value: 84.55696202531644 |
|
|
- type: dot_precision |
|
|
value: 85.64102564102564 |
|
|
- type: dot_recall |
|
|
value: 83.5 |
|
|
- type: euclidean_accuracy |
|
|
value: 99.75742574257426 |
|
|
- type: euclidean_ap |
|
|
value: 92.97542565802068 |
|
|
- type: euclidean_f1 |
|
|
value: 87.48083801737351 |
|
|
- type: euclidean_precision |
|
|
value: 89.44618599791013 |
|
|
- type: euclidean_recall |
|
|
value: 85.6 |
|
|
- type: manhattan_accuracy |
|
|
value: 99.75643564356436 |
|
|
- type: manhattan_ap |
|
|
value: 92.92733519229752 |
|
|
- type: manhattan_f1 |
|
|
value: 87.41044012282498 |
|
|
- type: manhattan_precision |
|
|
value: 89.51781970649894 |
|
|
- type: manhattan_recall |
|
|
value: 85.39999999999999 |
|
|
- type: max_accuracy |
|
|
value: 99.75742574257426 |
|
|
- type: max_ap |
|
|
value: 92.97542565802068 |
|
|
- type: max_f1 |
|
|
value: 87.48083801737351 |
|
|
- task: |
|
|
type: Clustering |
|
|
dataset: |
|
|
type: mteb/stackexchange-clustering |
|
|
name: MTEB StackExchangeClustering |
|
|
config: default |
|
|
split: test |
|
|
revision: 6cbc1f7b2bc0622f2e39d2c77fa502909748c259 |
|
|
metrics: |
|
|
- type: v_measure |
|
|
value: 46.968629347107225 |
|
|
- task: |
|
|
type: Clustering |
|
|
dataset: |
|
|
type: mteb/stackexchange-clustering-p2p |
|
|
name: MTEB StackExchangeClusteringP2P |
|
|
config: default |
|
|
split: test |
|
|
revision: 815ca46b2622cec33ccafc3735d572c266efdb44 |
|
|
metrics: |
|
|
- type: v_measure |
|
|
value: 31.76101811464947 |
|
|
- task: |
|
|
type: Reranking |
|
|
dataset: |
|
|
type: mteb/stackoverflowdupquestions-reranking |
|
|
name: MTEB StackOverflowDupQuestions |
|
|
config: default |
|
|
split: test |
|
|
revision: e185fbe320c72810689fc5848eb6114e1ef5ec69 |
|
|
metrics: |
|
|
- type: map |
|
|
value: 47.838618465936364 |
|
|
- type: mrr |
|
|
value: 48.51134772090654 |
|
|
- task: |
|
|
type: Summarization |
|
|
dataset: |
|
|
type: mteb/summeval |
|
|
name: MTEB SummEval |
|
|
config: default |
|
|
split: test |
|
|
revision: cda12ad7615edc362dbf25a00fdd61d3b1eaf93c |
|
|
metrics: |
|
|
- type: cos_sim_pearson |
|
|
value: 30.101149949190837 |
|
|
- type: cos_sim_spearman |
|
|
value: 30.99886288816569 |
|
|
- type: dot_pearson |
|
|
value: 28.905040829977978 |
|
|
- type: dot_spearman |
|
|
value: 28.101690957830428 |
|
|
- task: |
|
|
type: Retrieval |
|
|
dataset: |
|
|
type: trec-covid |
|
|
name: MTEB TRECCOVID |
|
|
config: default |
|
|
split: test |
|
|
revision: None |
|
|
metrics: |
|
|
- type: map_at_1 |
|
|
value: 0.129 |
|
|
- type: map_at_10 |
|
|
value: 0.6930000000000001 |
|
|
- type: map_at_100 |
|
|
value: 2.408 |
|
|
- type: map_at_1000 |
|
|
value: 4.731 |
|
|
- type: map_at_3 |
|
|
value: 0.314 |
|
|
- type: map_at_5 |
|
|
value: 0.43 |
|
|
- type: mrr_at_1 |
|
|
value: 44.0 |
|
|
- type: mrr_at_10 |
|
|
value: 55.132999999999996 |
|
|
- type: mrr_at_100 |
|
|
value: 56.455 |
|
|
- type: mrr_at_1000 |
|
|
value: 56.474000000000004 |
|
|
- type: mrr_at_3 |
|
|
value: 53.333 |
|
|
- type: mrr_at_5 |
|
|
value: 55.132999999999996 |
|
|
- type: ndcg_at_1 |
|
|
value: 40.0 |
|
|
- type: ndcg_at_10 |
|
|
value: 33.283 |
|
|
- type: ndcg_at_100 |
|
|
value: 18.892 |
|
|
- type: ndcg_at_1000 |
|
|
value: 17.457 |
|
|
- type: ndcg_at_3 |
|
|
value: 39.073 |
|
|
- type: ndcg_at_5 |
|
|
value: 35.609 |
|
|
- type: precision_at_1 |
|
|
value: 44.0 |
|
|
- type: precision_at_10 |
|
|
value: 33.800000000000004 |
|
|
- type: precision_at_100 |
|
|
value: 17.44 |
|
|
- type: precision_at_1000 |
|
|
value: 7.04 |
|
|
- type: precision_at_3 |
|
|
value: 40.666999999999994 |
|
|
- type: precision_at_5 |
|
|
value: 36.4 |
|
|
- type: recall_at_1 |
|
|
value: 0.129 |
|
|
- type: recall_at_10 |
|
|
value: 0.91 |
|
|
- type: recall_at_100 |
|
|
value: 4.449 |
|
|
- type: recall_at_1000 |
|
|
value: 16.091 |
|
|
- type: recall_at_3 |
|
|
value: 0.349 |
|
|
- type: recall_at_5 |
|
|
value: 0.518 |
|
|
- task: |
|
|
type: Retrieval |
|
|
dataset: |
|
|
type: webis-touche2020 |
|
|
name: MTEB Touche2020 |
|
|
config: default |
|
|
split: test |
|
|
revision: None |
|
|
metrics: |
|
|
- type: map_at_1 |
|
|
value: 1.189 |
|
|
- type: map_at_10 |
|
|
value: 5.196 |
|
|
- type: map_at_100 |
|
|
value: 8.984 |
|
|
- type: map_at_1000 |
|
|
value: 10.333 |
|
|
- type: map_at_3 |
|
|
value: 2.513 |
|
|
- type: map_at_5 |
|
|
value: 3.8089999999999997 |
|
|
- type: mrr_at_1 |
|
|
value: 14.285999999999998 |
|
|
- type: mrr_at_10 |
|
|
value: 26.295 |
|
|
- type: mrr_at_100 |
|
|
value: 28.285 |
|
|
- type: mrr_at_1000 |
|
|
value: 28.303 |
|
|
- type: mrr_at_3 |
|
|
value: 22.109 |
|
|
- type: mrr_at_5 |
|
|
value: 24.864 |
|
|
- type: ndcg_at_1 |
|
|
value: 12.245000000000001 |
|
|
- type: ndcg_at_10 |
|
|
value: 13.196 |
|
|
- type: ndcg_at_100 |
|
|
value: 24.189 |
|
|
- type: ndcg_at_1000 |
|
|
value: 36.015 |
|
|
- type: ndcg_at_3 |
|
|
value: 12.153 |
|
|
- type: ndcg_at_5 |
|
|
value: 13.459999999999999 |
|
|
- type: precision_at_1 |
|
|
value: 14.285999999999998 |
|
|
- type: precision_at_10 |
|
|
value: 12.653 |
|
|
- type: precision_at_100 |
|
|
value: 5.673 |
|
|
- type: precision_at_1000 |
|
|
value: 1.32 |
|
|
- type: precision_at_3 |
|
|
value: 12.925 |
|
|
- type: precision_at_5 |
|
|
value: 15.101999999999999 |
|
|
- type: recall_at_1 |
|
|
value: 1.189 |
|
|
- type: recall_at_10 |
|
|
value: 9.478 |
|
|
- type: recall_at_100 |
|
|
value: 36.076 |
|
|
- type: recall_at_1000 |
|
|
value: 71.88900000000001 |
|
|
- type: recall_at_3 |
|
|
value: 3.1710000000000003 |
|
|
- type: recall_at_5 |
|
|
value: 5.944 |
|
|
- task: |
|
|
type: Classification |
|
|
dataset: |
|
|
type: mteb/toxic_conversations_50k |
|
|
name: MTEB ToxicConversationsClassification |
|
|
config: default |
|
|
split: test |
|
|
revision: d7c0de2777da35d6aae2200a62c6e0e5af397c4c |
|
|
metrics: |
|
|
- type: accuracy |
|
|
value: 81.1632 |
|
|
- type: ap |
|
|
value: 21.801031224655016 |
|
|
- type: f1 |
|
|
value: 63.93057804886679 |
|
|
- task: |
|
|
type: Classification |
|
|
dataset: |
|
|
type: mteb/tweet_sentiment_extraction |
|
|
name: MTEB TweetSentimentExtractionClassification |
|
|
config: default |
|
|
split: test |
|
|
revision: d604517c81ca91fe16a244d1248fc021f9ecee7a |
|
|
metrics: |
|
|
- type: accuracy |
|
|
value: 68.15789473684211 |
|
|
- type: f1 |
|
|
value: 68.55744497973521 |
|
|
- task: |
|
|
type: Clustering |
|
|
dataset: |
|
|
type: mteb/twentynewsgroups-clustering |
|
|
name: MTEB TwentyNewsgroupsClustering |
|
|
config: default |
|
|
split: test |
|
|
revision: 6125ec4e24fa026cec8a478383ee943acfbd5449 |
|
|
metrics: |
|
|
- type: v_measure |
|
|
value: 53.77313771942972 |
|
|
- task: |
|
|
type: PairClassification |
|
|
dataset: |
|
|
type: mteb/twittersemeval2015-pairclassification |
|
|
name: MTEB TwitterSemEval2015 |
|
|
config: default |
|
|
split: test |
|
|
revision: 70970daeab8776df92f5ea462b6173c0b46fd2d1 |
|
|
metrics: |
|
|
- type: cos_sim_accuracy |
|
|
value: 85.79603027954938 |
|
|
- type: cos_sim_ap |
|
|
value: 73.19931192854375 |
|
|
- type: cos_sim_f1 |
|
|
value: 66.7699457784663 |
|
|
- type: cos_sim_precision |
|
|
value: 65.3690596562184 |
|
|
- type: cos_sim_recall |
|
|
value: 68.23218997361478 |
|
|
- type: dot_accuracy |
|
|
value: 84.72313286046374 |
|
|
- type: dot_ap |
|
|
value: 69.84066382008972 |
|
|
- type: dot_f1 |
|
|
value: 64.42618869803336 |
|
|
- type: dot_precision |
|
|
value: 60.98020735155514 |
|
|
- type: dot_recall |
|
|
value: 68.28496042216359 |
|
|
- type: euclidean_accuracy |
|
|
value: 85.81391190320082 |
|
|
- type: euclidean_ap |
|
|
value: 73.4051677083228 |
|
|
- type: euclidean_f1 |
|
|
value: 67.35092864125122 |
|
|
- type: euclidean_precision |
|
|
value: 62.721893491124256 |
|
|
- type: euclidean_recall |
|
|
value: 72.71767810026385 |
|
|
- type: manhattan_accuracy |
|
|
value: 85.81391190320082 |
|
|
- type: manhattan_ap |
|
|
value: 73.33759860950396 |
|
|
- type: manhattan_f1 |
|
|
value: 67.32576589771757 |
|
|
- type: manhattan_precision |
|
|
value: 62.63910969793323 |
|
|
- type: manhattan_recall |
|
|
value: 72.77044854881267 |
|
|
- type: max_accuracy |
|
|
value: 85.81391190320082 |
|
|
- type: max_ap |
|
|
value: 73.4051677083228 |
|
|
- type: max_f1 |
|
|
value: 67.35092864125122 |
|
|
- task: |
|
|
type: PairClassification |
|
|
dataset: |
|
|
type: mteb/twitterurlcorpus-pairclassification |
|
|
name: MTEB TwitterURLCorpus |
|
|
config: default |
|
|
split: test |
|
|
revision: 8b6510b0b1fa4e4c4f879467980e9be563ec1cdf |
|
|
metrics: |
|
|
- type: cos_sim_accuracy |
|
|
value: 88.17479722125199 |
|
|
- type: cos_sim_ap |
|
|
value: 84.37486145048878 |
|
|
- type: cos_sim_f1 |
|
|
value: 76.65294717365856 |
|
|
- type: cos_sim_precision |
|
|
value: 75.21304186735827 |
|
|
- type: cos_sim_recall |
|
|
value: 78.14906067138897 |
|
|
- type: dot_accuracy |
|
|
value: 87.72460899600264 |
|
|
- type: dot_ap |
|
|
value: 83.01188676406672 |
|
|
- type: dot_f1 |
|
|
value: 75.8810775054206 |
|
|
- type: dot_precision |
|
|
value: 72.58665541728186 |
|
|
- type: dot_recall |
|
|
value: 79.48875885432707 |
|
|
- type: euclidean_accuracy |
|
|
value: 88.16315442232313 |
|
|
- type: euclidean_ap |
|
|
value: 84.32021529803454 |
|
|
- type: euclidean_f1 |
|
|
value: 76.60147856804691 |
|
|
- type: euclidean_precision |
|
|
value: 72.67638725727316 |
|
|
- type: euclidean_recall |
|
|
value: 80.97474591931014 |
|
|
- type: manhattan_accuracy |
|
|
value: 88.19226141964528 |
|
|
- type: manhattan_ap |
|
|
value: 84.30111334073442 |
|
|
- type: manhattan_f1 |
|
|
value: 76.48944401459048 |
|
|
- type: manhattan_precision |
|
|
value: 73.34134105843285 |
|
|
- type: manhattan_recall |
|
|
value: 79.91992608561749 |
|
|
- type: max_accuracy |
|
|
value: 88.19226141964528 |
|
|
- type: max_ap |
|
|
value: 84.37486145048878 |
|
|
- type: max_f1 |
|
|
value: 76.65294717365856 |
|
|
--- |
