|
--- |
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tags: |
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- mteb |
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model-index: |
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- name: .\results\technicolor\Angle_BERT |
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results: |
|
- task: |
|
type: Classification |
|
dataset: |
|
type: mteb/amazon_counterfactual |
|
name: MTEB AmazonCounterfactualClassification (en) |
|
config: en |
|
split: test |
|
revision: e8379541af4e31359cca9fbcf4b00f2671dba205 |
|
metrics: |
|
- type: accuracy |
|
value: 77.94029850746269 |
|
- type: ap |
|
value: 41.462497073772475 |
|
- type: f1 |
|
value: 71.91276160766711 |
|
- task: |
|
type: Classification |
|
dataset: |
|
type: mteb/amazon_polarity |
|
name: MTEB AmazonPolarityClassification |
|
config: default |
|
split: test |
|
revision: e2d317d38cd51312af73b3d32a06d1a08b442046 |
|
metrics: |
|
- type: accuracy |
|
value: 75.998675 |
|
- type: ap |
|
value: 70.68601139811975 |
|
- type: f1 |
|
value: 75.80419607148225 |
|
- task: |
|
type: Classification |
|
dataset: |
|
type: mteb/amazon_reviews_multi |
|
name: MTEB AmazonReviewsClassification (en) |
|
config: en |
|
split: test |
|
revision: 1399c76144fd37290681b995c656ef9b2e06e26d |
|
metrics: |
|
- type: accuracy |
|
value: 37.184000000000005 |
|
- type: f1 |
|
value: 36.927927910871034 |
|
- task: |
|
type: Retrieval |
|
dataset: |
|
type: mteb/arguana |
|
name: MTEB ArguAna |
|
config: default |
|
split: test |
|
revision: c22ab2a51041ffd869aaddef7af8d8215647e41a |
|
metrics: |
|
- type: map_at_1 |
|
value: 18.208 |
|
- type: map_at_10 |
|
value: 31.217 |
|
- type: map_at_100 |
|
value: 32.504 |
|
- type: map_at_1000 |
|
value: 32.543 |
|
- type: map_at_20 |
|
value: 32.048 |
|
- type: map_at_3 |
|
value: 26.790000000000003 |
|
- type: map_at_5 |
|
value: 29.176000000000002 |
|
- type: mrr_at_1 |
|
value: 18.990000000000002 |
|
- type: mrr_at_10 |
|
value: 31.539 |
|
- type: mrr_at_100 |
|
value: 32.818999999999996 |
|
- type: mrr_at_1000 |
|
value: 32.857 |
|
- type: mrr_at_20 |
|
value: 32.363 |
|
- type: mrr_at_3 |
|
value: 27.003 |
|
- type: mrr_at_5 |
|
value: 29.518 |
|
- type: ndcg_at_1 |
|
value: 18.208 |
|
- type: ndcg_at_10 |
|
value: 38.881 |
|
- type: ndcg_at_100 |
|
value: 44.931 |
|
- type: ndcg_at_1000 |
|
value: 45.864 |
|
- type: ndcg_at_20 |
|
value: 41.823 |
|
- type: ndcg_at_3 |
|
value: 29.675 |
|
- type: ndcg_at_5 |
|
value: 33.964 |
|
- type: precision_at_1 |
|
value: 18.208 |
|
- type: precision_at_10 |
|
value: 6.358 |
|
- type: precision_at_100 |
|
value: 0.914 |
|
- type: precision_at_1000 |
|
value: 0.099 |
|
- type: precision_at_20 |
|
value: 3.752 |
|
- type: precision_at_3 |
|
value: 12.684000000000001 |
|
- type: precision_at_5 |
|
value: 9.687 |
|
- type: recall_at_1 |
|
value: 18.208 |
|
- type: recall_at_10 |
|
value: 63.585 |
|
- type: recall_at_100 |
|
value: 91.39399999999999 |
|
- type: recall_at_1000 |
|
value: 98.506 |
|
- type: recall_at_20 |
|
value: 75.036 |
|
- type: recall_at_3 |
|
value: 38.051 |
|
- type: recall_at_5 |
|
value: 48.435 |
|
- task: |
|
type: Clustering |
|
dataset: |
|
type: mteb/arxiv-clustering-p2p |
|
name: MTEB ArxivClusteringP2P |
|
config: default |
|
split: test |
|
revision: a122ad7f3f0291bf49cc6f4d32aa80929df69d5d |
|
metrics: |
|
- type: v_measure |
|
value: 35.32543411547368 |
|
- task: |
|
type: Clustering |
|
dataset: |
|
type: mteb/arxiv-clustering-s2s |
|
name: MTEB ArxivClusteringS2S |
|
config: default |
|
split: test |
|
revision: f910caf1a6075f7329cdf8c1a6135696f37dbd53 |
|
metrics: |
|
- type: v_measure |
|
value: 27.664108097727595 |
|
- task: |
|
type: Reranking |
|
dataset: |
|
type: mteb/askubuntudupquestions-reranking |
|
name: MTEB AskUbuntuDupQuestions |
|
config: default |
|
split: test |
|
revision: 2000358ca161889fa9c082cb41daa8dcfb161a54 |
|
metrics: |
|
- type: map |
|
value: 51.337125683605656 |
|
- type: mrr |
|
value: 64.09422679505782 |
|
- task: |
|
type: Classification |
|
dataset: |
|
type: mteb/banking77 |
|
name: MTEB Banking77Classification |
|
config: default |
|
split: test |
|
revision: 0fd18e25b25c072e09e0d92ab615fda904d66300 |
|
metrics: |
|
- type: accuracy |
|
value: 75.49675324675324 |
|
- type: f1 |
|
value: 75.43051473772864 |
|
- task: |
|
type: Clustering |
|
dataset: |
|
type: mteb/biorxiv-clustering-p2p |
|
name: MTEB BiorxivClusteringP2P |
|
config: default |
|
split: test |
|
revision: 65b79d1d13f80053f67aca9498d9402c2d9f1f40 |
|
metrics: |
|
- type: v_measure |
|
value: 30.952117397946154 |
|
- task: |
|
type: Clustering |
|
dataset: |
|
type: mteb/biorxiv-clustering-s2s |
|
name: MTEB BiorxivClusteringS2S |
|
config: default |
|
split: test |
|
revision: 258694dd0231531bc1fd9de6ceb52a0853c6d908 |
|
metrics: |
|
- type: v_measure |
|
value: 24.80565572031388 |
|
- task: |
|
type: Retrieval |
|
dataset: |
|
type: mteb/cqadupstack-android |
|
name: MTEB CQADupstackAndroidRetrieval |
|
config: default |
|
split: test |
|
revision: f46a197baaae43b4f621051089b82a364682dfeb |
|
metrics: |
|
- type: map_at_1 |
|
value: 18.148 |
|
- type: map_at_10 |
|
value: 23.986 |
|
- type: map_at_100 |
|
value: 25.028 |
|
- type: map_at_1000 |
|
value: 25.163999999999998 |
|
- type: map_at_20 |
|
value: 24.526 |
|
- type: map_at_3 |
|
value: 21.822 |
|
- type: map_at_5 |
|
value: 22.933 |
|
- type: mrr_at_1 |
|
value: 23.319000000000003 |
|
- type: mrr_at_10 |
|
value: 28.944 |
|
- type: mrr_at_100 |
|
value: 29.837999999999997 |
|
- type: mrr_at_1000 |
|
value: 29.914 |
|
- type: mrr_at_20 |
|
value: 29.441 |
|
- type: mrr_at_3 |
|
value: 26.943 |
|
- type: mrr_at_5 |
|
value: 27.944999999999997 |
|
- type: ndcg_at_1 |
|
value: 23.319000000000003 |
|
- type: ndcg_at_10 |
|
value: 28.249000000000002 |
|
- type: ndcg_at_100 |
|
value: 33.219 |
|
- type: ndcg_at_1000 |
|
value: 36.374 |
|
- type: ndcg_at_20 |
|
value: 29.933 |
|
- type: ndcg_at_3 |
|
value: 24.845 |
|
- type: ndcg_at_5 |
|
value: 26.14 |
|
- type: precision_at_1 |
|
value: 23.319000000000003 |
|
- type: precision_at_10 |
|
value: 5.351 |
|
- type: precision_at_100 |
|
value: 0.971 |
|
- type: precision_at_1000 |
|
value: 0.151 |
|
- type: precision_at_20 |
|
value: 3.2620000000000005 |
|
- type: precision_at_3 |
|
value: 11.922 |
|
- type: precision_at_5 |
|
value: 8.555 |
|
- type: recall_at_1 |
|
value: 18.148 |
|
- type: recall_at_10 |
|
value: 36.144999999999996 |
|
- type: recall_at_100 |
|
value: 58.204 |
|
- type: recall_at_1000 |
|
value: 79.828 |
|
- type: recall_at_20 |
|
value: 42.245 |
|
- type: recall_at_3 |
|
value: 25.701 |
|
- type: recall_at_5 |
|
value: 29.636000000000003 |
|
- task: |
|
type: Retrieval |
|
dataset: |
|
type: mteb/cqadupstack-english |
|
name: MTEB CQADupstackEnglishRetrieval |
|
config: default |
|
split: test |
|
revision: ad9991cb51e31e31e430383c75ffb2885547b5f0 |
|
metrics: |
|
- type: map_at_1 |
|
value: 14.248 |
|
- type: map_at_10 |
|
value: 19.534000000000002 |
|
- type: map_at_100 |
|
value: 20.358 |
|
- type: map_at_1000 |
|
value: 20.464 |
|
- type: map_at_20 |
|
value: 19.965 |
|
- type: map_at_3 |
|
value: 17.881 |
|
- type: map_at_5 |
|
value: 18.773999999999997 |
|
- type: mrr_at_1 |
|
value: 18.025 |
|
- type: mrr_at_10 |
|
value: 23.265 |
|
- type: mrr_at_100 |
|
value: 24.054000000000002 |
|
- type: mrr_at_1000 |
|
value: 24.122 |
|
- type: mrr_at_20 |
|
value: 23.702 |
|
- type: mrr_at_3 |
|
value: 21.624 |
|
- type: mrr_at_5 |
|
value: 22.5 |
|
- type: ndcg_at_1 |
|
value: 18.025 |
|
- type: ndcg_at_10 |
|
value: 23.0 |
|
- type: ndcg_at_100 |
|
value: 27.016000000000002 |
|
- type: ndcg_at_1000 |
|
value: 29.751 |
|
- type: ndcg_at_20 |
|
value: 24.415 |
|
- type: ndcg_at_3 |
|
value: 20.222 |
|
- type: ndcg_at_5 |
|
value: 21.379 |
|
- type: precision_at_1 |
|
value: 18.025 |
|
- type: precision_at_10 |
|
value: 4.35 |
|
- type: precision_at_100 |
|
value: 0.796 |
|
- type: precision_at_1000 |
|
value: 0.127 |
|
- type: precision_at_20 |
|
value: 2.662 |
|
- type: precision_at_3 |
|
value: 9.809 |
|
- type: precision_at_5 |
|
value: 6.955 |
|
- type: recall_at_1 |
|
value: 14.248 |
|
- type: recall_at_10 |
|
value: 29.646 |
|
- type: recall_at_100 |
|
value: 47.527 |
|
- type: recall_at_1000 |
|
value: 66.468 |
|
- type: recall_at_20 |
|
value: 34.873 |
|
- type: recall_at_3 |
|
value: 21.366 |
|
- type: recall_at_5 |
|
value: 24.738 |
|
- task: |
|
type: Retrieval |
|
dataset: |
|
type: mteb/cqadupstack-gaming |
|
name: MTEB CQADupstackGamingRetrieval |
|
config: default |
|
split: test |
|
revision: 4885aa143210c98657558c04aaf3dc47cfb54340 |
|
metrics: |
|
- type: map_at_1 |
|
value: 19.834 |
|
- type: map_at_10 |
|
value: 27.569 |
|
- type: map_at_100 |
|
value: 28.601 |
|
- type: map_at_1000 |
|
value: 28.705000000000002 |
|
- type: map_at_20 |
|
value: 28.194000000000003 |
|
- type: map_at_3 |
|
value: 25.352999999999998 |
|
- type: map_at_5 |
|
value: 26.512 |
|
- type: mrr_at_1 |
|
value: 23.26 |
|
- type: mrr_at_10 |
|
value: 30.406 |
|
- type: mrr_at_100 |
|
value: 31.291000000000004 |
|
- type: mrr_at_1000 |
|
value: 31.371 |
|
- type: mrr_at_20 |
|
value: 30.941000000000003 |
|
- type: mrr_at_3 |
|
value: 28.485 |
|
- type: mrr_at_5 |
|
value: 29.444 |
|
- type: ndcg_at_1 |
|
value: 23.26 |
|
- type: ndcg_at_10 |
|
value: 31.959 |
|
- type: ndcg_at_100 |
|
value: 36.747 |
|
- type: ndcg_at_1000 |
|
value: 39.47 |
|
- type: ndcg_at_20 |
|
value: 33.992 |
|
- type: ndcg_at_3 |
|
value: 27.839999999999996 |
|
- type: ndcg_at_5 |
|
value: 29.593999999999998 |
|
- type: precision_at_1 |
|
value: 23.26 |
|
- type: precision_at_10 |
|
value: 5.436 |
|
- type: precision_at_100 |
|
value: 0.8500000000000001 |
|
- type: precision_at_1000 |
|
value: 0.116 |
|
- type: precision_at_20 |
|
value: 3.235 |
|
- type: precision_at_3 |
|
value: 12.684999999999999 |
|
- type: precision_at_5 |
|
value: 8.853 |
|
- type: recall_at_1 |
|
value: 19.834 |
|
- type: recall_at_10 |
|
value: 42.531 |
|
- type: recall_at_100 |
|
value: 63.963 |
|
- type: recall_at_1000 |
|
value: 84.174 |
|
- type: recall_at_20 |
|
value: 50.101 |
|
- type: recall_at_3 |
|
value: 31.179000000000002 |
|
- type: recall_at_5 |
|
value: 35.567 |
|
- task: |
|
type: Retrieval |
|
dataset: |
|
type: mteb/cqadupstack-gis |
|
name: MTEB CQADupstackGisRetrieval |
|
config: default |
|
split: test |
|
revision: 5003b3064772da1887988e05400cf3806fe491f2 |
|
metrics: |
|
- type: map_at_1 |
|
value: 9.263 |
|
- type: map_at_10 |
|
value: 12.104 |
|
- type: map_at_100 |
|
value: 12.736 |
|
- type: map_at_1000 |
|
value: 12.836 |
|
- type: map_at_20 |
|
value: 12.415 |
|
- type: map_at_3 |
|
value: 10.891 |
|
- type: map_at_5 |
|
value: 11.443 |
|
- type: mrr_at_1 |
|
value: 9.831 |
|
- type: mrr_at_10 |
|
value: 12.856000000000002 |
|
- type: mrr_at_100 |
|
value: 13.492 |
|
- type: mrr_at_1000 |
|
value: 13.587 |
|
- type: mrr_at_20 |
|
value: 13.178 |
|
- type: mrr_at_3 |
|
value: 11.62 |
|
- type: mrr_at_5 |
|
value: 12.218 |
|
- type: ndcg_at_1 |
|
value: 9.831 |
|
- type: ndcg_at_10 |
|
value: 14.224 |
|
- type: ndcg_at_100 |
|
value: 17.78 |
|
- type: ndcg_at_1000 |
|
value: 21.078 |
|
- type: ndcg_at_20 |
|
value: 15.329999999999998 |
|
- type: ndcg_at_3 |
|
value: 11.691 |
|
- type: ndcg_at_5 |
|
value: 12.692 |
|
- type: precision_at_1 |
|
value: 9.831 |
|
- type: precision_at_10 |
|
value: 2.26 |
|
- type: precision_at_100 |
|
value: 0.43299999999999994 |
|
- type: precision_at_1000 |
|
value: 0.077 |
|
- type: precision_at_20 |
|
value: 1.384 |
|
- type: precision_at_3 |
|
value: 4.7829999999999995 |
|
- type: precision_at_5 |
|
value: 3.458 |
|
- type: recall_at_1 |
|
value: 9.263 |
|
- type: recall_at_10 |
|
value: 20.293 |
|
- type: recall_at_100 |
|
value: 37.507000000000005 |
|
- type: recall_at_1000 |
|
value: 63.727000000000004 |
|
- type: recall_at_20 |
|
value: 24.424 |
|
- type: recall_at_3 |
|
value: 13.215 |
|
- type: recall_at_5 |
|
value: 15.661 |
|
- task: |
|
type: Retrieval |
|
dataset: |
|
type: mteb/cqadupstack-mathematica |
|
name: MTEB CQADupstackMathematicaRetrieval |
|
config: default |
|
split: test |
|
revision: 90fceea13679c63fe563ded68f3b6f06e50061de |
|
metrics: |
|
- type: map_at_1 |
|
value: 3.936 |
|
- type: map_at_10 |
|
value: 5.976 |
|
- type: map_at_100 |
|
value: 6.619999999999999 |
|
- type: map_at_1000 |
|
value: 6.737 |
|
- type: map_at_20 |
|
value: 6.271 |
|
- type: map_at_3 |
|
value: 5.179 |
|
- type: map_at_5 |
|
value: 5.5 |
|
- type: mrr_at_1 |
|
value: 5.348 |
|
- type: mrr_at_10 |
|
value: 7.954 |
|
- type: mrr_at_100 |
|
value: 8.683 |
|
- type: mrr_at_1000 |
|
value: 8.782 |
|
- type: mrr_at_20 |
|
value: 8.336 |
|
- type: mrr_at_3 |
|
value: 7.027 |
|
- type: mrr_at_5 |
|
value: 7.449999999999999 |
|
- type: ndcg_at_1 |
|
value: 5.348 |
|
- type: ndcg_at_10 |
|
value: 7.832999999999999 |
|
- type: ndcg_at_100 |
|
value: 11.567 |
|
- type: ndcg_at_1000 |
|
value: 15.213 |
|
- type: ndcg_at_20 |
|
value: 8.996 |
|
- type: ndcg_at_3 |
|
value: 6.164 |
|
- type: ndcg_at_5 |
|
value: 6.726 |
|
- type: precision_at_1 |
|
value: 5.348 |
|
- type: precision_at_10 |
|
value: 1.617 |
|
- type: precision_at_100 |
|
value: 0.42300000000000004 |
|
- type: precision_at_1000 |
|
value: 0.08800000000000001 |
|
- type: precision_at_20 |
|
value: 1.126 |
|
- type: precision_at_3 |
|
value: 3.1919999999999997 |
|
- type: precision_at_5 |
|
value: 2.363 |
|
- type: recall_at_1 |
|
value: 3.936 |
|
- type: recall_at_10 |
|
value: 11.711 |
|
- type: recall_at_100 |
|
value: 28.875 |
|
- type: recall_at_1000 |
|
value: 56.267 |
|
- type: recall_at_20 |
|
value: 15.989999999999998 |
|
- type: recall_at_3 |
|
value: 7.087000000000001 |
|
- type: recall_at_5 |
|
value: 8.436 |
|
- task: |
|
type: Retrieval |
|
dataset: |
|
type: mteb/cqadupstack-physics |
|
name: MTEB CQADupstackPhysicsRetrieval |
|
config: default |
|
split: test |
|
revision: 79531abbd1fb92d06c6d6315a0cbbbf5bb247ea4 |
|
metrics: |
|
- type: map_at_1 |
|
value: 13.367999999999999 |
|
- type: map_at_10 |
|
value: 19.301 |
|
- type: map_at_100 |
|
value: 20.374 |
|
- type: map_at_1000 |
|
value: 20.516000000000002 |
|
- type: map_at_20 |
|
value: 19.828000000000003 |
|
- type: map_at_3 |
|
value: 17.345 |
|
- type: map_at_5 |
|
value: 18.39 |
|
- type: mrr_at_1 |
|
value: 17.324 |
|
- type: mrr_at_10 |
|
value: 23.383000000000003 |
|
- type: mrr_at_100 |
|
value: 24.296 |
|
- type: mrr_at_1000 |
|
value: 24.375 |
|
- type: mrr_at_20 |
|
value: 23.866 |
|
- type: mrr_at_3 |
|
value: 21.238 |
|
- type: mrr_at_5 |
|
value: 22.336 |
|
- type: ndcg_at_1 |
|
value: 17.324 |
|
- type: ndcg_at_10 |
|
value: 23.345 |
|
- type: ndcg_at_100 |
|
value: 28.645 |
|
- type: ndcg_at_1000 |
|
value: 31.902 |
|
- type: ndcg_at_20 |
|
value: 25.113999999999997 |
|
- type: ndcg_at_3 |
|
value: 19.731 |
|
- type: ndcg_at_5 |
|
value: 21.271 |
|
- type: precision_at_1 |
|
value: 17.324 |
|
- type: precision_at_10 |
|
value: 4.495 |
|
- type: precision_at_100 |
|
value: 0.874 |
|
- type: precision_at_1000 |
|
value: 0.13799999999999998 |
|
- type: precision_at_20 |
|
value: 2.791 |
|
- type: precision_at_3 |
|
value: 9.464 |
|
- type: precision_at_5 |
|
value: 6.909999999999999 |
|
- type: recall_at_1 |
|
value: 13.367999999999999 |
|
- type: recall_at_10 |
|
value: 31.749 |
|
- type: recall_at_100 |
|
value: 55.078 |
|
- type: recall_at_1000 |
|
value: 77.88000000000001 |
|
- type: recall_at_20 |
|
value: 38.098 |
|
- type: recall_at_3 |
|
value: 21.356 |
|
- type: recall_at_5 |
|
value: 25.433 |
|
- task: |
|
type: Retrieval |
|
dataset: |
|
type: mteb/cqadupstack-programmers |
|
name: MTEB CQADupstackProgrammersRetrieval |
|
config: default |
|
split: test |
|
revision: 6184bc1440d2dbc7612be22b50686b8826d22b32 |
|
metrics: |
|
- type: map_at_1 |
|
value: 10.152 |
|
- type: map_at_10 |
|
value: 14.658999999999999 |
|
- type: map_at_100 |
|
value: 15.522 |
|
- type: map_at_1000 |
|
value: 15.653 |
|
- type: map_at_20 |
|
value: 15.087 |
|
- type: map_at_3 |
|
value: 13.099 |
|
- type: map_at_5 |
|
value: 13.941 |
|
- type: mrr_at_1 |
|
value: 13.128 |
|
- type: mrr_at_10 |
|
value: 18.035999999999998 |
|
- type: mrr_at_100 |
|
value: 18.911 |
|
- type: mrr_at_1000 |
|
value: 19.003999999999998 |
|
- type: mrr_at_20 |
|
value: 18.487000000000002 |
|
- type: mrr_at_3 |
|
value: 16.381 |
|
- type: mrr_at_5 |
|
value: 17.277 |
|
- type: ndcg_at_1 |
|
value: 13.128 |
|
- type: ndcg_at_10 |
|
value: 17.949 |
|
- type: ndcg_at_100 |
|
value: 22.579 |
|
- type: ndcg_at_1000 |
|
value: 26.064 |
|
- type: ndcg_at_20 |
|
value: 19.476 |
|
- type: ndcg_at_3 |
|
value: 14.975 |
|
- type: ndcg_at_5 |
|
value: 16.273 |
|
- type: precision_at_1 |
|
value: 13.128 |
|
- type: precision_at_10 |
|
value: 3.3329999999999997 |
|
- type: precision_at_100 |
|
value: 0.683 |
|
- type: precision_at_1000 |
|
value: 0.116 |
|
- type: precision_at_20 |
|
value: 2.129 |
|
- type: precision_at_3 |
|
value: 7.154000000000001 |
|
- type: precision_at_5 |
|
value: 5.251 |
|
- type: recall_at_1 |
|
value: 10.152 |
|
- type: recall_at_10 |
|
value: 24.933 |
|
- type: recall_at_100 |
|
value: 45.584 |
|
- type: recall_at_1000 |
|
value: 70.7 |
|
- type: recall_at_20 |
|
value: 30.361 |
|
- type: recall_at_3 |
|
value: 16.570999999999998 |
|
- type: recall_at_5 |
|
value: 19.901 |
|
- task: |
|
type: Retrieval |
|
dataset: |
|
type: mteb/cqadupstack |
|
name: MTEB CQADupstackRetrieval |
|
config: default |
|
split: test |
|
revision: 4ffe81d471b1924886b33c7567bfb200e9eec5c4 |
|
metrics: |
|
- type: map_at_1 |
|
value: 10.82375 |
|
- type: map_at_10 |
|
value: 15.058583333333331 |
|
- type: map_at_100 |
|
value: 15.841083333333335 |
|
- type: map_at_1000 |
|
value: 15.952749999999998 |
|
- type: map_at_20 |
|
value: 15.447583333333334 |
|
- type: map_at_3 |
|
value: 13.618000000000002 |
|
- type: map_at_5 |
|
value: 14.369499999999999 |
|
- type: mrr_at_1 |
|
value: 13.36475 |
|
- type: mrr_at_10 |
|
value: 17.77841666666667 |
|
- type: mrr_at_100 |
|
value: 18.528416666666665 |
|
- type: mrr_at_1000 |
|
value: 18.612583333333333 |
|
- type: mrr_at_20 |
|
value: 18.169416666666667 |
|
- type: mrr_at_3 |
|
value: 16.304166666666667 |
|
- type: mrr_at_5 |
|
value: 17.065166666666666 |
|
- type: ndcg_at_1 |
|
value: 13.36475 |
|
- type: ndcg_at_10 |
|
value: 18.002833333333335 |
|
- type: ndcg_at_100 |
|
value: 22.082583333333332 |
|
- type: ndcg_at_1000 |
|
value: 25.149166666666666 |
|
- type: ndcg_at_20 |
|
value: 19.33575 |
|
- type: ndcg_at_3 |
|
value: 15.334249999999999 |
|
- type: ndcg_at_5 |
|
value: 16.45558333333333 |
|
- type: precision_at_1 |
|
value: 13.36475 |
|
- type: precision_at_10 |
|
value: 3.2900000000000005 |
|
- type: precision_at_100 |
|
value: 0.6327499999999999 |
|
- type: precision_at_1000 |
|
value: 0.10600000000000001 |
|
- type: precision_at_20 |
|
value: 2.032666666666666 |
|
- type: precision_at_3 |
|
value: 7.209416666666667 |
|
- type: precision_at_5 |
|
value: 5.204416666666666 |
|
- type: recall_at_1 |
|
value: 10.82375 |
|
- type: recall_at_10 |
|
value: 24.346166666666665 |
|
- type: recall_at_100 |
|
value: 43.067916666666676 |
|
- type: recall_at_1000 |
|
value: 65.63275 |
|
- type: recall_at_20 |
|
value: 29.279916666666665 |
|
- type: recall_at_3 |
|
value: 16.74383333333333 |
|
- type: recall_at_5 |
|
value: 19.682583333333334 |
|
- task: |
|
type: Retrieval |
|
dataset: |
|
type: mteb/cqadupstack-stats |
|
name: MTEB CQADupstackStatsRetrieval |
|
config: default |
|
split: test |
|
revision: 65ac3a16b8e91f9cee4c9828cc7c335575432a2a |
|
metrics: |
|
- type: map_at_1 |
|
value: 8.212 |
|
- type: map_at_10 |
|
value: 11.457 |
|
- type: map_at_100 |
|
value: 12.033000000000001 |
|
- type: map_at_1000 |
|
value: 12.113999999999999 |
|
- type: map_at_20 |
|
value: 11.744 |
|
- type: map_at_3 |
|
value: 10.365 |
|
- type: map_at_5 |
|
value: 10.969 |
|
- type: mrr_at_1 |
|
value: 9.815999999999999 |
|
- type: mrr_at_10 |
|
value: 13.471 |
|
- type: mrr_at_100 |
|
value: 14.019 |
|
- type: mrr_at_1000 |
|
value: 14.097999999999999 |
|
- type: mrr_at_20 |
|
value: 13.745 |
|
- type: mrr_at_3 |
|
value: 12.449 |
|
- type: mrr_at_5 |
|
value: 12.97 |
|
- type: ndcg_at_1 |
|
value: 9.815999999999999 |
|
- type: ndcg_at_10 |
|
value: 13.724 |
|
- type: ndcg_at_100 |
|
value: 16.817 |
|
- type: ndcg_at_1000 |
|
value: 19.442 |
|
- type: ndcg_at_20 |
|
value: 14.725 |
|
- type: ndcg_at_3 |
|
value: 11.700000000000001 |
|
- type: ndcg_at_5 |
|
value: 12.598 |
|
- type: precision_at_1 |
|
value: 9.815999999999999 |
|
- type: precision_at_10 |
|
value: 2.393 |
|
- type: precision_at_100 |
|
value: 0.428 |
|
- type: precision_at_1000 |
|
value: 0.07100000000000001 |
|
- type: precision_at_20 |
|
value: 1.434 |
|
- type: precision_at_3 |
|
value: 5.624 |
|
- type: precision_at_5 |
|
value: 3.9570000000000003 |
|
- type: recall_at_1 |
|
value: 8.212 |
|
- type: recall_at_10 |
|
value: 18.87 |
|
- type: recall_at_100 |
|
value: 33.527 |
|
- type: recall_at_1000 |
|
value: 53.989 |
|
- type: recall_at_20 |
|
value: 22.631 |
|
- type: recall_at_3 |
|
value: 13.056000000000001 |
|
- type: recall_at_5 |
|
value: 15.425 |
|
- task: |
|
type: Retrieval |
|
dataset: |
|
type: mteb/cqadupstack-tex |
|
name: MTEB CQADupstackTexRetrieval |
|
config: default |
|
split: test |
|
revision: 46989137a86843e03a6195de44b09deda022eec7 |
|
metrics: |
|
- type: map_at_1 |
|
value: 5.359 |
|
- type: map_at_10 |
|
value: 7.7170000000000005 |
|
- type: map_at_100 |
|
value: 8.222 |
|
- type: map_at_1000 |
|
value: 8.312999999999999 |
|
- type: map_at_20 |
|
value: 7.961 |
|
- type: map_at_3 |
|
value: 6.969 |
|
- type: map_at_5 |
|
value: 7.3870000000000005 |
|
- type: mrr_at_1 |
|
value: 6.9510000000000005 |
|
- type: mrr_at_10 |
|
value: 9.697 |
|
- type: mrr_at_100 |
|
value: 10.26 |
|
- type: mrr_at_1000 |
|
value: 10.337 |
|
- type: mrr_at_20 |
|
value: 9.989 |
|
- type: mrr_at_3 |
|
value: 8.792 |
|
- type: mrr_at_5 |
|
value: 9.307 |
|
- type: ndcg_at_1 |
|
value: 6.9510000000000005 |
|
- type: ndcg_at_10 |
|
value: 9.472999999999999 |
|
- type: ndcg_at_100 |
|
value: 12.414 |
|
- type: ndcg_at_1000 |
|
value: 15.122 |
|
- type: ndcg_at_20 |
|
value: 10.366999999999999 |
|
- type: ndcg_at_3 |
|
value: 8.071 |
|
- type: ndcg_at_5 |
|
value: 8.717 |
|
- type: precision_at_1 |
|
value: 6.9510000000000005 |
|
- type: precision_at_10 |
|
value: 1.7930000000000001 |
|
- type: precision_at_100 |
|
value: 0.40099999999999997 |
|
- type: precision_at_1000 |
|
value: 0.077 |
|
- type: precision_at_20 |
|
value: 1.158 |
|
- type: precision_at_3 |
|
value: 3.923 |
|
- type: precision_at_5 |
|
value: 2.8770000000000002 |
|
- type: recall_at_1 |
|
value: 5.359 |
|
- type: recall_at_10 |
|
value: 12.992999999999999 |
|
- type: recall_at_100 |
|
value: 26.854 |
|
- type: recall_at_1000 |
|
value: 46.888999999999996 |
|
- type: recall_at_20 |
|
value: 16.287 |
|
- type: recall_at_3 |
|
value: 8.919 |
|
- type: recall_at_5 |
|
value: 10.684000000000001 |
|
- task: |
|
type: Retrieval |
|
dataset: |
|
type: mteb/cqadupstack-unix |
|
name: MTEB CQADupstackUnixRetrieval |
|
config: default |
|
split: test |
|
revision: 6c6430d3a6d36f8d2a829195bc5dc94d7e063e53 |
|
metrics: |
|
- type: map_at_1 |
|
value: 9.667 |
|
- type: map_at_10 |
|
value: 12.515 |
|
- type: map_at_100 |
|
value: 13.200000000000001 |
|
- type: map_at_1000 |
|
value: 13.311 |
|
- type: map_at_20 |
|
value: 12.837000000000002 |
|
- type: map_at_3 |
|
value: 11.298 |
|
- type: map_at_5 |
|
value: 11.937000000000001 |
|
- type: mrr_at_1 |
|
value: 11.567 |
|
- type: mrr_at_10 |
|
value: 14.940999999999999 |
|
- type: mrr_at_100 |
|
value: 15.661 |
|
- type: mrr_at_1000 |
|
value: 15.751999999999999 |
|
- type: mrr_at_20 |
|
value: 15.283 |
|
- type: mrr_at_3 |
|
value: 13.511000000000001 |
|
- type: mrr_at_5 |
|
value: 14.308000000000002 |
|
- type: ndcg_at_1 |
|
value: 11.567 |
|
- type: ndcg_at_10 |
|
value: 14.869 |
|
- type: ndcg_at_100 |
|
value: 18.709999999999997 |
|
- type: ndcg_at_1000 |
|
value: 21.826999999999998 |
|
- type: ndcg_at_20 |
|
value: 16.067 |
|
- type: ndcg_at_3 |
|
value: 12.428 |
|
- type: ndcg_at_5 |
|
value: 13.542000000000002 |
|
- type: precision_at_1 |
|
value: 11.567 |
|
- type: precision_at_10 |
|
value: 2.64 |
|
- type: precision_at_100 |
|
value: 0.507 |
|
- type: precision_at_1000 |
|
value: 0.08800000000000001 |
|
- type: precision_at_20 |
|
value: 1.609 |
|
- type: precision_at_3 |
|
value: 5.628 |
|
- type: precision_at_5 |
|
value: 4.216 |
|
- type: recall_at_1 |
|
value: 9.667 |
|
- type: recall_at_10 |
|
value: 19.677 |
|
- type: recall_at_100 |
|
value: 37.668 |
|
- type: recall_at_1000 |
|
value: 60.687000000000005 |
|
- type: recall_at_20 |
|
value: 24.236 |
|
- type: recall_at_3 |
|
value: 13.173000000000002 |
|
- type: recall_at_5 |
|
value: 15.808 |
|
- task: |
|
type: Retrieval |
|
dataset: |
|
type: mteb/cqadupstack-webmasters |
|
name: MTEB CQADupstackWebmastersRetrieval |
|
config: default |
|
split: test |
|
revision: 160c094312a0e1facb97e55eeddb698c0abe3571 |
|
metrics: |
|
- type: map_at_1 |
|
value: 11.129999999999999 |
|
- type: map_at_10 |
|
value: 15.881 |
|
- type: map_at_100 |
|
value: 16.759 |
|
- type: map_at_1000 |
|
value: 16.903000000000002 |
|
- type: map_at_20 |
|
value: 16.284000000000002 |
|
- type: map_at_3 |
|
value: 14.23 |
|
- type: map_at_5 |
|
value: 15.035000000000002 |
|
- type: mrr_at_1 |
|
value: 14.229 |
|
- type: mrr_at_10 |
|
value: 19.028 |
|
- type: mrr_at_100 |
|
value: 19.811999999999998 |
|
- type: mrr_at_1000 |
|
value: 19.905 |
|
- type: mrr_at_20 |
|
value: 19.412 |
|
- type: mrr_at_3 |
|
value: 17.26 |
|
- type: mrr_at_5 |
|
value: 18.060000000000002 |
|
- type: ndcg_at_1 |
|
value: 14.229 |
|
- type: ndcg_at_10 |
|
value: 19.325 |
|
- type: ndcg_at_100 |
|
value: 23.817 |
|
- type: ndcg_at_1000 |
|
value: 27.407999999999998 |
|
- type: ndcg_at_20 |
|
value: 20.612 |
|
- type: ndcg_at_3 |
|
value: 16.248 |
|
- type: ndcg_at_5 |
|
value: 17.352 |
|
- type: precision_at_1 |
|
value: 14.229 |
|
- type: precision_at_10 |
|
value: 3.834 |
|
- type: precision_at_100 |
|
value: 0.822 |
|
- type: precision_at_1000 |
|
value: 0.158 |
|
- type: precision_at_20 |
|
value: 2.401 |
|
- type: precision_at_3 |
|
value: 7.707999999999999 |
|
- type: precision_at_5 |
|
value: 5.731 |
|
- type: recall_at_1 |
|
value: 11.129999999999999 |
|
- type: recall_at_10 |
|
value: 26.397 |
|
- type: recall_at_100 |
|
value: 47.616 |
|
- type: recall_at_1000 |
|
value: 73.15700000000001 |
|
- type: recall_at_20 |
|
value: 31.508999999999997 |
|
- type: recall_at_3 |
|
value: 17.368 |
|
- type: recall_at_5 |
|
value: 20.287 |
|
- task: |
|
type: Retrieval |
|
dataset: |
|
type: mteb/cqadupstack-wordpress |
|
name: MTEB CQADupstackWordpressRetrieval |
|
config: default |
|
split: test |
|
revision: 4ffe81d471b1924886b33c7567bfb200e9eec5c4 |
|
metrics: |
|
- type: map_at_1 |
|
value: 6.5680000000000005 |
|
- type: map_at_10 |
|
value: 10.004 |
|
- type: map_at_100 |
|
value: 10.639999999999999 |
|
- type: map_at_1000 |
|
value: 10.717 |
|
- type: map_at_20 |
|
value: 10.259 |
|
- type: map_at_3 |
|
value: 8.984 |
|
- type: map_at_5 |
|
value: 9.613 |
|
- type: mrr_at_1 |
|
value: 7.579 |
|
- type: mrr_at_10 |
|
value: 11.360000000000001 |
|
- type: mrr_at_100 |
|
value: 12.024 |
|
- type: mrr_at_1000 |
|
value: 12.104 |
|
- type: mrr_at_20 |
|
value: 11.652999999999999 |
|
- type: mrr_at_3 |
|
value: 10.32 |
|
- type: mrr_at_5 |
|
value: 10.967 |
|
- type: ndcg_at_1 |
|
value: 7.579 |
|
- type: ndcg_at_10 |
|
value: 12.084 |
|
- type: ndcg_at_100 |
|
value: 15.68 |
|
- type: ndcg_at_1000 |
|
value: 18.139 |
|
- type: ndcg_at_20 |
|
value: 13.001999999999999 |
|
- type: ndcg_at_3 |
|
value: 10.096 |
|
- type: ndcg_at_5 |
|
value: 11.183 |
|
- type: precision_at_1 |
|
value: 7.579 |
|
- type: precision_at_10 |
|
value: 1.978 |
|
- type: precision_at_100 |
|
value: 0.40499999999999997 |
|
- type: precision_at_1000 |
|
value: 0.065 |
|
- type: precision_at_20 |
|
value: 1.201 |
|
- type: precision_at_3 |
|
value: 4.621 |
|
- type: precision_at_5 |
|
value: 3.327 |
|
- type: recall_at_1 |
|
value: 6.5680000000000005 |
|
- type: recall_at_10 |
|
value: 17.209 |
|
- type: recall_at_100 |
|
value: 34.412 |
|
- type: recall_at_1000 |
|
value: 53.827000000000005 |
|
- type: recall_at_20 |
|
value: 20.604 |
|
- type: recall_at_3 |
|
value: 11.935 |
|
- type: recall_at_5 |
|
value: 14.615 |
|
- task: |
|
type: Retrieval |
|
dataset: |
|
type: mteb/climate-fever |
|
name: MTEB ClimateFEVER |
|
config: default |
|
split: test |
|
revision: 47f2ac6acb640fc46020b02a5b59fdda04d39380 |
|
metrics: |
|
- type: map_at_1 |
|
value: 3.466 |
|
- type: map_at_10 |
|
value: 6.311 |
|
- type: map_at_100 |
|
value: 7.385 |
|
- type: map_at_1000 |
|
value: 7.596 |
|
- type: map_at_20 |
|
value: 6.844 |
|
- type: map_at_3 |
|
value: 5.115 |
|
- type: map_at_5 |
|
value: 5.636 |
|
- type: mrr_at_1 |
|
value: 7.818 |
|
- type: mrr_at_10 |
|
value: 13.528 |
|
- type: mrr_at_100 |
|
value: 14.814 |
|
- type: mrr_at_1000 |
|
value: 14.902999999999999 |
|
- type: mrr_at_20 |
|
value: 14.283999999999999 |
|
- type: mrr_at_3 |
|
value: 11.249 |
|
- type: mrr_at_5 |
|
value: 12.307 |
|
- type: ndcg_at_1 |
|
value: 7.818 |
|
- type: ndcg_at_10 |
|
value: 9.936 |
|
- type: ndcg_at_100 |
|
value: 15.748000000000001 |
|
- type: ndcg_at_1000 |
|
value: 20.355 |
|
- type: ndcg_at_20 |
|
value: 11.927 |
|
- type: ndcg_at_3 |
|
value: 7.340000000000001 |
|
- type: ndcg_at_5 |
|
value: 8.089 |
|
- type: precision_at_1 |
|
value: 7.818 |
|
- type: precision_at_10 |
|
value: 3.3550000000000004 |
|
- type: precision_at_100 |
|
value: 0.9610000000000001 |
|
- type: precision_at_1000 |
|
value: 0.178 |
|
- type: precision_at_20 |
|
value: 2.511 |
|
- type: precision_at_3 |
|
value: 5.494000000000001 |
|
- type: precision_at_5 |
|
value: 4.417 |
|
- type: recall_at_1 |
|
value: 3.466 |
|
- type: recall_at_10 |
|
value: 13.292000000000002 |
|
- type: recall_at_100 |
|
value: 34.287 |
|
- type: recall_at_1000 |
|
value: 61.207 |
|
- type: recall_at_20 |
|
value: 19.014 |
|
- type: recall_at_3 |
|
value: 7.066 |
|
- type: recall_at_5 |
|
value: 9.028 |
|
- task: |
|
type: Classification |
|
dataset: |
|
type: mteb/emotion |
|
name: MTEB EmotionClassification |
|
config: default |
|
split: test |
|
revision: 4f58c6b202a23cf9a4da393831edf4f9183cad37 |
|
metrics: |
|
- type: accuracy |
|
value: 45.21 |
|
- type: f1 |
|
value: 40.27450017657594 |
|
- task: |
|
type: Classification |
|
dataset: |
|
type: mteb/imdb |
|
name: MTEB ImdbClassification |
|
config: default |
|
split: test |
|
revision: 3d86128a09e091d6018b6d26cad27f2739fc2db7 |
|
metrics: |
|
- type: accuracy |
|
value: 68.848 |
|
- type: ap |
|
value: 63.2883584195492 |
|
- type: f1 |
|
value: 68.6836564154069 |
|
- task: |
|
type: Classification |
|
dataset: |
|
type: mteb/mtop_domain |
|
name: MTEB MTOPDomainClassification (en) |
|
config: en |
|
split: test |
|
revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf |
|
metrics: |
|
- type: accuracy |
|
value: 85.37847697218423 |
|
- type: f1 |
|
value: 84.92640989123367 |
|
- task: |
|
type: Classification |
|
dataset: |
|
type: mteb/mtop_intent |
|
name: MTEB MTOPIntentClassification (en) |
|
config: en |
|
split: test |
|
revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba |
|
metrics: |
|
- type: accuracy |
|
value: 64.50524395804834 |
|
- type: f1 |
|
value: 48.40917698378292 |
|
- task: |
|
type: Classification |
|
dataset: |
|
type: mteb/amazon_massive_intent |
|
name: MTEB MassiveIntentClassification (en) |
|
config: en |
|
split: test |
|
revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7 |
|
metrics: |
|
- type: accuracy |
|
value: 66.32145258910558 |
|
- type: f1 |
|
value: 64.84562142367274 |
|
- task: |
|
type: Classification |
|
dataset: |
|
type: mteb/amazon_massive_scenario |
|
name: MTEB MassiveScenarioClassification (en) |
|
config: en |
|
split: test |
|
revision: 7d571f92784cd94a019292a1f45445077d0ef634 |
|
metrics: |
|
- type: accuracy |
|
value: 70.6186953597848 |
|
- type: f1 |
|
value: 70.54134651579527 |
|
- task: |
|
type: Clustering |
|
dataset: |
|
type: mteb/medrxiv-clustering-p2p |
|
name: MTEB MedrxivClusteringP2P |
|
config: default |
|
split: test |
|
revision: e7a26af6f3ae46b30dde8737f02c07b1505bcc73 |
|
metrics: |
|
- type: v_measure |
|
value: 27.349141993223746 |
|
- task: |
|
type: Clustering |
|
dataset: |
|
type: mteb/medrxiv-clustering-s2s |
|
name: MTEB MedrxivClusteringS2S |
|
config: default |
|
split: test |
|
revision: 35191c8c0dca72d8ff3efcd72aa802307d469663 |
|
metrics: |
|
- type: v_measure |
|
value: 25.585510809207832 |
|
- task: |
|
type: Clustering |
|
dataset: |
|
type: mteb/reddit-clustering |
|
name: MTEB RedditClustering |
|
config: default |
|
split: test |
|
revision: 24640382cdbf8abc73003fb0fa6d111a705499eb |
|
metrics: |
|
- type: v_measure |
|
value: 40.32381150443673 |
|
- task: |
|
type: Clustering |
|
dataset: |
|
type: mteb/reddit-clustering-p2p |
|
name: MTEB RedditClusteringP2P |
|
config: default |
|
split: test |
|
revision: 385e3cb46b4cfa89021f56c4380204149d0efe33 |
|
metrics: |
|
- type: v_measure |
|
value: 45.985786847845056 |
|
- task: |
|
type: Reranking |
|
dataset: |
|
type: mteb/scidocs-reranking |
|
name: MTEB SciDocsRR |
|
config: default |
|
split: test |
|
revision: d3c5e1fc0b855ab6097bf1cda04dd73947d7caab |
|
metrics: |
|
- type: map |
|
value: 70.58830468830689 |
|
- type: mrr |
|
value: 89.4269474171435 |
|
- task: |
|
type: PairClassification |
|
dataset: |
|
type: mteb/sprintduplicatequestions-pairclassification |
|
name: MTEB SprintDuplicateQuestions |
|
config: default |
|
split: test |
|
revision: d66bd1f72af766a5cc4b0ca5e00c162f89e8cc46 |
|
metrics: |
|
- type: cos_sim_accuracy |
|
value: 99.56039603960396 |
|
- type: cos_sim_ap |
|
value: 82.80827567304317 |
|
- type: cos_sim_f1 |
|
value: 76.10350076103501 |
|
- type: cos_sim_precision |
|
value: 77.2399588053553 |
|
- type: cos_sim_recall |
|
value: 75.0 |
|
- type: dot_accuracy |
|
value: 99.31980198019802 |
|
- type: dot_ap |
|
value: 63.62227490198173 |
|
- type: dot_f1 |
|
value: 60.08492569002123 |
|
- type: dot_precision |
|
value: 64.02714932126696 |
|
- type: dot_recall |
|
value: 56.599999999999994 |
|
- type: euclidean_accuracy |
|
value: 99.58514851485148 |
|
- type: euclidean_ap |
|
value: 84.43639703406805 |
|
- type: euclidean_f1 |
|
value: 77.52928647497338 |
|
- type: euclidean_precision |
|
value: 82.91571753986332 |
|
- type: euclidean_recall |
|
value: 72.8 |
|
- type: manhattan_accuracy |
|
value: 99.58316831683169 |
|
- type: manhattan_ap |
|
value: 84.30772142229371 |
|
- type: manhattan_f1 |
|
value: 77.64584408879712 |
|
- type: manhattan_precision |
|
value: 80.25613660618997 |
|
- type: manhattan_recall |
|
value: 75.2 |
|
- type: max_accuracy |
|
value: 99.58514851485148 |
|
- type: max_ap |
|
value: 84.43639703406805 |
|
- type: max_f1 |
|
value: 77.64584408879712 |
|
- task: |
|
type: Clustering |
|
dataset: |
|
type: mteb/stackexchange-clustering |
|
name: MTEB StackExchangeClustering |
|
config: default |
|
split: test |
|
revision: 6cbc1f7b2bc0622f2e39d2c77fa502909748c259 |
|
metrics: |
|
- type: v_measure |
|
value: 48.256973284963735 |
|
- task: |
|
type: Clustering |
|
dataset: |
|
type: mteb/stackexchange-clustering-p2p |
|
name: MTEB StackExchangeClusteringP2P |
|
config: default |
|
split: test |
|
revision: 815ca46b2622cec33ccafc3735d572c266efdb44 |
|
metrics: |
|
- type: v_measure |
|
value: 28.872051407552323 |
|
- task: |
|
type: Reranking |
|
dataset: |
|
type: mteb/stackoverflowdupquestions-reranking |
|
name: MTEB StackOverflowDupQuestions |
|
config: default |
|
split: test |
|
revision: e185fbe320c72810689fc5848eb6114e1ef5ec69 |
|
metrics: |
|
- type: map |
|
value: 40.992315303011075 |
|
- type: mrr |
|
value: 41.398027013835836 |
|
- task: |
|
type: Classification |
|
dataset: |
|
type: mteb/toxic_conversations_50k |
|
name: MTEB ToxicConversationsClassification |
|
config: default |
|
split: test |
|
revision: edfaf9da55d3dd50d43143d90c1ac476895ae6de |
|
metrics: |
|
- type: accuracy |
|
value: 67.0849609375 |
|
- type: ap |
|
value: 11.788791268631641 |
|
- type: f1 |
|
value: 50.9803202223727 |
|
- task: |
|
type: Classification |
|
dataset: |
|
type: mteb/tweet_sentiment_extraction |
|
name: MTEB TweetSentimentExtractionClassification |
|
config: default |
|
split: test |
|
revision: d604517c81ca91fe16a244d1248fc021f9ecee7a |
|
metrics: |
|
- type: accuracy |
|
value: 57.57498585172609 |
|
- type: f1 |
|
value: 57.91311800407575 |
|
- task: |
|
type: Clustering |
|
dataset: |
|
type: mteb/twentynewsgroups-clustering |
|
name: MTEB TwentyNewsgroupsClustering |
|
config: default |
|
split: test |
|
revision: 6125ec4e24fa026cec8a478383ee943acfbd5449 |
|
metrics: |
|
- type: v_measure |
|
value: 33.06505289570024 |
|
- task: |
|
type: PairClassification |
|
dataset: |
|
type: mteb/twittersemeval2015-pairclassification |
|
name: MTEB TwitterSemEval2015 |
|
config: default |
|
split: test |
|
revision: 70970daeab8776df92f5ea462b6173c0b46fd2d1 |
|
metrics: |
|
- type: cos_sim_accuracy |
|
value: 83.71580139476664 |
|
- type: cos_sim_ap |
|
value: 66.15526088864542 |
|
- type: cos_sim_f1 |
|
value: 62.3031151557578 |
|
- type: cos_sim_precision |
|
value: 55.84605731018616 |
|
- type: cos_sim_recall |
|
value: 70.44854881266491 |
|
- type: dot_accuracy |
|
value: 81.99320498301246 |
|
- type: dot_ap |
|
value: 59.10143958693731 |
|
- type: dot_f1 |
|
value: 59.58787878787878 |
|
- type: dot_precision |
|
value: 55.11210762331839 |
|
- type: dot_recall |
|
value: 64.85488126649076 |
|
- type: euclidean_accuracy |
|
value: 83.59063002920665 |
|
- type: euclidean_ap |
|
value: 65.63819065809086 |
|
- type: euclidean_f1 |
|
value: 61.41935483870967 |
|
- type: euclidean_precision |
|
value: 55.29039070749736 |
|
- type: euclidean_recall |
|
value: 69.07651715039577 |
|
- type: manhattan_accuracy |
|
value: 83.6263932765095 |
|
- type: manhattan_ap |
|
value: 65.69964834245273 |
|
- type: manhattan_f1 |
|
value: 61.52737752161382 |
|
- type: manhattan_precision |
|
value: 56.45658880564125 |
|
- type: manhattan_recall |
|
value: 67.59894459102902 |
|
- type: max_accuracy |
|
value: 83.71580139476664 |
|
- type: max_ap |
|
value: 66.15526088864542 |
|
- type: max_f1 |
|
value: 62.3031151557578 |
|
- task: |
|
type: PairClassification |
|
dataset: |
|
type: mteb/twitterurlcorpus-pairclassification |
|
name: MTEB TwitterURLCorpus |
|
config: default |
|
split: test |
|
revision: 8b6510b0b1fa4e4c4f879467980e9be563ec1cdf |
|
metrics: |
|
- type: cos_sim_accuracy |
|
value: 87.99821477083091 |
|
- type: cos_sim_ap |
|
value: 84.27684726247264 |
|
- type: cos_sim_f1 |
|
value: 76.53120888758953 |
|
- type: cos_sim_precision |
|
value: 72.83667223149693 |
|
- type: cos_sim_recall |
|
value: 80.62057283646443 |
|
- type: dot_accuracy |
|
value: 87.04738619164047 |
|
- type: dot_ap |
|
value: 80.98829705864014 |
|
- type: dot_f1 |
|
value: 74.43375169234146 |
|
- type: dot_precision |
|
value: 70.9225298096367 |
|
- type: dot_recall |
|
value: 78.31074838312288 |
|
- type: euclidean_accuracy |
|
value: 87.69744246516863 |
|
- type: euclidean_ap |
|
value: 83.50528467088635 |
|
- type: euclidean_f1 |
|
value: 75.65629784532656 |
|
- type: euclidean_precision |
|
value: 73.45370168950764 |
|
- type: euclidean_recall |
|
value: 77.99507237449954 |
|
- type: manhattan_accuracy |
|
value: 87.6916210657042 |
|
- type: manhattan_ap |
|
value: 83.49074793688219 |
|
- type: manhattan_f1 |
|
value: 75.60462282612708 |
|
- type: manhattan_precision |
|
value: 72.63568641362184 |
|
- type: manhattan_recall |
|
value: 78.8266091777025 |
|
- type: max_accuracy |
|
value: 87.99821477083091 |
|
- type: max_ap |
|
value: 84.27684726247264 |
|
- type: max_f1 |
|
value: 76.53120888758953 |
|
--- |
|
|
|
Embedding model trained on [google-bert/bert-base-uncased](https://huggingface.co/google-bert/bert-base-uncased) with the [AnglE-optimized Text Embeddings](https://arxiv.org/abs/2309.12871) |
