| --- |
| pipeline_tag: text-generation |
| inference: true |
| license: apache-2.0 |
| datasets: |
| - GritLM/tulu2 |
| tags: |
| - mteb |
| model-index: |
| - name: GritLM-8x7B |
| results: |
| - task: |
| type: Classification |
| dataset: |
| type: mteb/amazon_counterfactual |
| name: MTEB AmazonCounterfactualClassification (en) |
| config: en |
| split: test |
| revision: e8379541af4e31359cca9fbcf4b00f2671dba205 |
| metrics: |
| - type: accuracy |
| value: 80.47761194029852 |
| - type: ap |
| value: 44.38751347932197 |
| - type: f1 |
| value: 74.33580162208256 |
| - task: |
| type: Classification |
| dataset: |
| type: mteb/amazon_polarity |
| name: MTEB AmazonPolarityClassification |
| config: default |
| split: test |
| revision: e2d317d38cd51312af73b3d32a06d1a08b442046 |
| metrics: |
| - type: accuracy |
| value: 96.32155000000002 |
| - type: ap |
| value: 94.8026654593679 |
| - type: f1 |
| value: 96.3209869463974 |
| - task: |
| type: Classification |
| dataset: |
| type: mteb/amazon_reviews_multi |
| name: MTEB AmazonReviewsClassification (en) |
| config: en |
| split: test |
| revision: 1399c76144fd37290681b995c656ef9b2e06e26d |
| metrics: |
| - type: accuracy |
| value: 57.18400000000001 |
| - type: f1 |
| value: 55.945160479400954 |
| - task: |
| type: Retrieval |
| dataset: |
| type: arguana |
| name: MTEB ArguAna |
| config: default |
| split: test |
| revision: None |
| metrics: |
| - type: map_at_1 |
| value: 34.353 |
| - type: map_at_10 |
| value: 50.773 |
| - type: map_at_100 |
| value: 51.515 |
| - type: map_at_1000 |
| value: 51.517 |
| - type: map_at_3 |
| value: 46.29 |
| - type: map_at_5 |
| value: 48.914 |
| - type: mrr_at_1 |
| value: 35.135 |
| - type: mrr_at_10 |
| value: 51.036 |
| - type: mrr_at_100 |
| value: 51.785000000000004 |
| - type: mrr_at_1000 |
| value: 51.787000000000006 |
| - type: mrr_at_3 |
| value: 46.562 |
| - type: mrr_at_5 |
| value: 49.183 |
| - type: ndcg_at_1 |
| value: 34.353 |
| - type: ndcg_at_10 |
| value: 59.492 |
| - type: ndcg_at_100 |
| value: 62.395999999999994 |
| - type: ndcg_at_1000 |
| value: 62.44499999999999 |
| - type: ndcg_at_3 |
| value: 50.217 |
| - type: ndcg_at_5 |
| value: 54.98499999999999 |
| - type: precision_at_1 |
| value: 34.353 |
| - type: precision_at_10 |
| value: 8.72 |
| - type: precision_at_100 |
| value: 0.993 |
| - type: precision_at_1000 |
| value: 0.1 |
| - type: precision_at_3 |
| value: 20.531 |
| - type: precision_at_5 |
| value: 14.651 |
| - type: recall_at_1 |
| value: 34.353 |
| - type: recall_at_10 |
| value: 87.198 |
| - type: recall_at_100 |
| value: 99.289 |
| - type: recall_at_1000 |
| value: 99.644 |
| - type: recall_at_3 |
| value: 61.592999999999996 |
| - type: recall_at_5 |
| value: 73.257 |
| - task: |
| type: Clustering |
| dataset: |
| type: mteb/arxiv-clustering-p2p |
| name: MTEB ArxivClusteringP2P |
| config: default |
| split: test |
| revision: a122ad7f3f0291bf49cc6f4d32aa80929df69d5d |
| metrics: |
| - type: v_measure |
| value: 50.720077577006286 |
| - task: |
| type: Clustering |
| dataset: |
| type: mteb/arxiv-clustering-s2s |
| name: MTEB ArxivClusteringS2S |
| config: default |
| split: test |
| revision: f910caf1a6075f7329cdf8c1a6135696f37dbd53 |
| metrics: |
| - type: v_measure |
| value: 48.01021098734129 |
| - task: |
| type: Reranking |
| dataset: |
| type: mteb/askubuntudupquestions-reranking |
| name: MTEB AskUbuntuDupQuestions |
| config: default |
| split: test |
| revision: 2000358ca161889fa9c082cb41daa8dcfb161a54 |
| metrics: |
| - type: map |
| value: 65.59672236627206 |
| - type: mrr |
| value: 78.01191575429802 |
| - task: |
| type: STS |
| dataset: |
| type: mteb/biosses-sts |
| name: MTEB BIOSSES |
| config: default |
| split: test |
| revision: d3fb88f8f02e40887cd149695127462bbcf29b4a |
| metrics: |
| - type: cos_sim_pearson |
| value: 89.52452252271826 |
| - type: cos_sim_spearman |
| value: 87.34415887061094 |
| - type: euclidean_pearson |
| value: 87.46187616533932 |
| - type: euclidean_spearman |
| value: 85.44712769366146 |
| - type: manhattan_pearson |
| value: 87.56696679505373 |
| - type: manhattan_spearman |
| value: 86.01581535039067 |
| - task: |
| type: Classification |
| dataset: |
| type: mteb/banking77 |
| name: MTEB Banking77Classification |
| config: default |
| split: test |
| revision: 0fd18e25b25c072e09e0d92ab615fda904d66300 |
| metrics: |
| - type: accuracy |
| value: 87.4577922077922 |
| - type: f1 |
| value: 87.38432712848123 |
| - task: |
| type: Clustering |
| dataset: |
| type: mteb/biorxiv-clustering-p2p |
| name: MTEB BiorxivClusteringP2P |
| config: default |
| split: test |
| revision: 65b79d1d13f80053f67aca9498d9402c2d9f1f40 |
| metrics: |
| - type: v_measure |
| value: 41.41290357360428 |
| - task: |
| type: Clustering |
| dataset: |
| type: mteb/biorxiv-clustering-s2s |
| name: MTEB BiorxivClusteringS2S |
| config: default |
| split: test |
| revision: 258694dd0231531bc1fd9de6ceb52a0853c6d908 |
| metrics: |
| - type: v_measure |
| value: 38.67213605633667 |
| - task: |
| type: Retrieval |
| dataset: |
| type: BeIR/cqadupstack |
| name: MTEB CQADupstackAndroidRetrieval |
| config: default |
| split: test |
| revision: None |
| metrics: |
| - type: map_at_1 |
| value: 37.545 |
| - type: map_at_10 |
| value: 50.015 |
| - type: map_at_100 |
| value: 51.763999999999996 |
| - type: map_at_1000 |
| value: 51.870000000000005 |
| - type: map_at_3 |
| value: 46.129999999999995 |
| - type: map_at_5 |
| value: 48.473 |
| - type: mrr_at_1 |
| value: 47.638999999999996 |
| - type: mrr_at_10 |
| value: 56.913000000000004 |
| - type: mrr_at_100 |
| value: 57.619 |
| - type: mrr_at_1000 |
| value: 57.648999999999994 |
| - type: mrr_at_3 |
| value: 54.435 |
| - type: mrr_at_5 |
| value: 56.059000000000005 |
| - type: ndcg_at_1 |
| value: 47.638999999999996 |
| - type: ndcg_at_10 |
| value: 56.664 |
| - type: ndcg_at_100 |
| value: 62.089000000000006 |
| - type: ndcg_at_1000 |
| value: 63.415 |
| - type: ndcg_at_3 |
| value: 51.842999999999996 |
| - type: ndcg_at_5 |
| value: 54.30199999999999 |
| - type: precision_at_1 |
| value: 47.638999999999996 |
| - type: precision_at_10 |
| value: 10.886999999999999 |
| - type: precision_at_100 |
| value: 1.722 |
| - type: precision_at_1000 |
| value: 0.212 |
| - type: precision_at_3 |
| value: 25.179000000000002 |
| - type: precision_at_5 |
| value: 18.226 |
| - type: recall_at_1 |
| value: 37.545 |
| - type: recall_at_10 |
| value: 68.118 |
| - type: recall_at_100 |
| value: 90.381 |
| - type: recall_at_1000 |
| value: 98.556 |
| - type: recall_at_3 |
| value: 53.319 |
| - type: recall_at_5 |
| value: 60.574 |
| - task: |
| type: Retrieval |
| dataset: |
| type: BeIR/cqadupstack |
| name: MTEB CQADupstackEnglishRetrieval |
| config: default |
| split: test |
| revision: None |
| metrics: |
| - type: map_at_1 |
| value: 37.066 |
| - type: map_at_10 |
| value: 49.464000000000006 |
| - type: map_at_100 |
| value: 50.79900000000001 |
| - type: map_at_1000 |
| value: 50.928 |
| - type: map_at_3 |
| value: 46.133 |
| - type: map_at_5 |
| value: 47.941 |
| - type: mrr_at_1 |
| value: 48.025 |
| - type: mrr_at_10 |
| value: 56.16100000000001 |
| - type: mrr_at_100 |
| value: 56.725 |
| - type: mrr_at_1000 |
| value: 56.757000000000005 |
| - type: mrr_at_3 |
| value: 54.31 |
| - type: mrr_at_5 |
| value: 55.285 |
| - type: ndcg_at_1 |
| value: 48.025 |
| - type: ndcg_at_10 |
| value: 55.467 |
| - type: ndcg_at_100 |
| value: 59.391000000000005 |
| - type: ndcg_at_1000 |
| value: 61.086 |
| - type: ndcg_at_3 |
| value: 51.733 |
| - type: ndcg_at_5 |
| value: 53.223 |
| - type: precision_at_1 |
| value: 48.025 |
| - type: precision_at_10 |
| value: 10.656 |
| - type: precision_at_100 |
| value: 1.6070000000000002 |
| - type: precision_at_1000 |
| value: 0.20600000000000002 |
| - type: precision_at_3 |
| value: 25.499 |
| - type: precision_at_5 |
| value: 17.771 |
| - type: recall_at_1 |
| value: 37.066 |
| - type: recall_at_10 |
| value: 65.062 |
| - type: recall_at_100 |
| value: 81.662 |
| - type: recall_at_1000 |
| value: 91.913 |
| - type: recall_at_3 |
| value: 52.734 |
| - type: recall_at_5 |
| value: 57.696999999999996 |
| - task: |
| type: Retrieval |
| dataset: |
| type: BeIR/cqadupstack |
| name: MTEB CQADupstackGamingRetrieval |
| config: default |
| split: test |
| revision: None |
| metrics: |
| - type: map_at_1 |
| value: 46.099000000000004 |
| - type: map_at_10 |
| value: 59.721999999999994 |
| - type: map_at_100 |
| value: 60.675000000000004 |
| - type: map_at_1000 |
| value: 60.708 |
| - type: map_at_3 |
| value: 55.852000000000004 |
| - type: map_at_5 |
| value: 58.426 |
| - type: mrr_at_1 |
| value: 53.417 |
| - type: mrr_at_10 |
| value: 63.597 |
| - type: mrr_at_100 |
| value: 64.12299999999999 |
| - type: mrr_at_1000 |
| value: 64.13799999999999 |
| - type: mrr_at_3 |
| value: 61.149 |
| - type: mrr_at_5 |
| value: 62.800999999999995 |
| - type: ndcg_at_1 |
| value: 53.417 |
| - type: ndcg_at_10 |
| value: 65.90899999999999 |
| - type: ndcg_at_100 |
| value: 69.312 |
| - type: ndcg_at_1000 |
| value: 69.89 |
| - type: ndcg_at_3 |
| value: 60.089999999999996 |
| - type: ndcg_at_5 |
| value: 63.575 |
| - type: precision_at_1 |
| value: 53.417 |
| - type: precision_at_10 |
| value: 10.533 |
| - type: precision_at_100 |
| value: 1.313 |
| - type: precision_at_1000 |
| value: 0.13899999999999998 |
| - type: precision_at_3 |
| value: 26.667 |
| - type: precision_at_5 |
| value: 18.671 |
| - type: recall_at_1 |
| value: 46.099000000000004 |
| - type: recall_at_10 |
| value: 80.134 |
| - type: recall_at_100 |
| value: 94.536 |
| - type: recall_at_1000 |
| value: 98.543 |
| - type: recall_at_3 |
| value: 65.026 |
| - type: recall_at_5 |
| value: 73.462 |
| - task: |
| type: Retrieval |
| dataset: |
| type: BeIR/cqadupstack |
| name: MTEB CQADupstackGisRetrieval |
| config: default |
| split: test |
| revision: None |
| metrics: |
| - type: map_at_1 |
| value: 28.261999999999997 |
| - type: map_at_10 |
| value: 38.012 |
| - type: map_at_100 |
| value: 39.104 |
| - type: map_at_1000 |
| value: 39.177 |
| - type: map_at_3 |
| value: 35.068 |
| - type: map_at_5 |
| value: 36.620000000000005 |
| - type: mrr_at_1 |
| value: 30.847 |
| - type: mrr_at_10 |
| value: 40.251999999999995 |
| - type: mrr_at_100 |
| value: 41.174 |
| - type: mrr_at_1000 |
| value: 41.227999999999994 |
| - type: mrr_at_3 |
| value: 37.74 |
| - type: mrr_at_5 |
| value: 38.972 |
| - type: ndcg_at_1 |
| value: 30.847 |
| - type: ndcg_at_10 |
| value: 43.513000000000005 |
| - type: ndcg_at_100 |
| value: 48.771 |
| - type: ndcg_at_1000 |
| value: 50.501 |
| - type: ndcg_at_3 |
| value: 37.861 |
| - type: ndcg_at_5 |
| value: 40.366 |
| - type: precision_at_1 |
| value: 30.847 |
| - type: precision_at_10 |
| value: 6.7909999999999995 |
| - type: precision_at_100 |
| value: 0.992 |
| - type: precision_at_1000 |
| value: 0.117 |
| - type: precision_at_3 |
| value: 16.234 |
| - type: precision_at_5 |
| value: 11.254 |
| - type: recall_at_1 |
| value: 28.261999999999997 |
| - type: recall_at_10 |
| value: 58.292 |
| - type: recall_at_100 |
| value: 82.24000000000001 |
| - type: recall_at_1000 |
| value: 95.042 |
| - type: recall_at_3 |
| value: 42.955 |
| - type: recall_at_5 |
| value: 48.973 |
| - task: |
| type: Retrieval |
| dataset: |
| type: BeIR/cqadupstack |
| name: MTEB CQADupstackMathematicaRetrieval |
| config: default |
| split: test |
| revision: None |
| metrics: |
| - type: map_at_1 |
| value: 18.281 |
| - type: map_at_10 |
| value: 27.687 |
| - type: map_at_100 |
| value: 28.9 |
| - type: map_at_1000 |
| value: 29.019000000000002 |
| - type: map_at_3 |
| value: 24.773 |
| - type: map_at_5 |
| value: 26.180999999999997 |
| - type: mrr_at_1 |
| value: 23.01 |
| - type: mrr_at_10 |
| value: 32.225 |
| - type: mrr_at_100 |
| value: 33.054 |
| - type: mrr_at_1000 |
| value: 33.119 |
| - type: mrr_at_3 |
| value: 29.353 |
| - type: mrr_at_5 |
| value: 30.846 |
| - type: ndcg_at_1 |
| value: 23.01 |
| - type: ndcg_at_10 |
| value: 33.422000000000004 |
| - type: ndcg_at_100 |
| value: 39.108 |
| - type: ndcg_at_1000 |
| value: 41.699999999999996 |
| - type: ndcg_at_3 |
| value: 28.083999999999996 |
| - type: ndcg_at_5 |
| value: 30.164 |
| - type: precision_at_1 |
| value: 23.01 |
| - type: precision_at_10 |
| value: 6.493 |
| - type: precision_at_100 |
| value: 1.077 |
| - type: precision_at_1000 |
| value: 0.14100000000000001 |
| - type: precision_at_3 |
| value: 13.930000000000001 |
| - type: precision_at_5 |
| value: 10.075000000000001 |
| - type: recall_at_1 |
| value: 18.281 |
| - type: recall_at_10 |
| value: 46.318 |
| - type: recall_at_100 |
| value: 71.327 |
| - type: recall_at_1000 |
| value: 89.716 |
| - type: recall_at_3 |
| value: 31.517 |
| - type: recall_at_5 |
| value: 36.821 |
| - task: |
| type: Retrieval |
| dataset: |
| type: BeIR/cqadupstack |
| name: MTEB CQADupstackPhysicsRetrieval |
| config: default |
| split: test |
| revision: None |
| metrics: |
| - type: map_at_1 |
| value: 36.575 |
| - type: map_at_10 |
| value: 49.235 |
| - type: map_at_100 |
| value: 50.723 |
| - type: map_at_1000 |
| value: 50.809000000000005 |
| - type: map_at_3 |
| value: 45.696999999999996 |
| - type: map_at_5 |
| value: 47.588 |
| - type: mrr_at_1 |
| value: 45.525 |
| - type: mrr_at_10 |
| value: 55.334 |
| - type: mrr_at_100 |
| value: 56.092 |
| - type: mrr_at_1000 |
| value: 56.118 |
| - type: mrr_at_3 |
| value: 53.032000000000004 |
| - type: mrr_at_5 |
| value: 54.19199999999999 |
| - type: ndcg_at_1 |
| value: 45.525 |
| - type: ndcg_at_10 |
| value: 55.542 |
| - type: ndcg_at_100 |
| value: 60.879000000000005 |
| - type: ndcg_at_1000 |
| value: 62.224999999999994 |
| - type: ndcg_at_3 |
| value: 50.688 |
| - type: ndcg_at_5 |
| value: 52.76499999999999 |
| - type: precision_at_1 |
| value: 45.525 |
| - type: precision_at_10 |
| value: 10.067 |
| - type: precision_at_100 |
| value: 1.471 |
| - type: precision_at_1000 |
| value: 0.173 |
| - type: precision_at_3 |
| value: 24.382 |
| - type: precision_at_5 |
| value: 16.919999999999998 |
| - type: recall_at_1 |
| value: 36.575 |
| - type: recall_at_10 |
| value: 67.903 |
| - type: recall_at_100 |
| value: 89.464 |
| - type: recall_at_1000 |
| value: 97.799 |
| - type: recall_at_3 |
| value: 53.493 |
| - type: recall_at_5 |
| value: 59.372 |
| - task: |
| type: Retrieval |
| dataset: |
| type: BeIR/cqadupstack |
| name: MTEB CQADupstackProgrammersRetrieval |
| config: default |
| split: test |
| revision: None |
| metrics: |
| - type: map_at_1 |
| value: 29.099000000000004 |
| - type: map_at_10 |
| value: 42.147 |
| - type: map_at_100 |
| value: 43.522 |
| - type: map_at_1000 |
| value: 43.624 |
| - type: map_at_3 |
| value: 38.104 |
| - type: map_at_5 |
| value: 40.435 |
| - type: mrr_at_1 |
| value: 36.416 |
| - type: mrr_at_10 |
| value: 47.922 |
| - type: mrr_at_100 |
| value: 48.664 |
| - type: mrr_at_1000 |
| value: 48.709 |
| - type: mrr_at_3 |
| value: 44.977000000000004 |
| - type: mrr_at_5 |
| value: 46.838 |
| - type: ndcg_at_1 |
| value: 36.416 |
| - type: ndcg_at_10 |
| value: 49.307 |
| - type: ndcg_at_100 |
| value: 54.332 |
| - type: ndcg_at_1000 |
| value: 56.145 |
| - type: ndcg_at_3 |
| value: 42.994 |
| - type: ndcg_at_5 |
| value: 46.119 |
| - type: precision_at_1 |
| value: 36.416 |
| - type: precision_at_10 |
| value: 9.452 |
| - type: precision_at_100 |
| value: 1.4080000000000001 |
| - type: precision_at_1000 |
| value: 0.172 |
| - type: precision_at_3 |
| value: 21.081 |
| - type: precision_at_5 |
| value: 15.501999999999999 |
| - type: recall_at_1 |
| value: 29.099000000000004 |
| - type: recall_at_10 |
| value: 64.485 |
| - type: recall_at_100 |
| value: 84.753 |
| - type: recall_at_1000 |
| value: 96.875 |
| - type: recall_at_3 |
| value: 47.06 |
| - type: recall_at_5 |
| value: 55.077 |
| - task: |
| type: Retrieval |
| dataset: |
| type: BeIR/cqadupstack |
| name: MTEB CQADupstackRetrieval |
| config: default |
| split: test |
| revision: None |
| metrics: |
| - type: map_at_1 |
| value: 30.69458333333333 |
| - type: map_at_10 |
| value: 41.65291666666666 |
| - type: map_at_100 |
| value: 42.95775 |
| - type: map_at_1000 |
| value: 43.06258333333333 |
| - type: map_at_3 |
| value: 38.335750000000004 |
| - type: map_at_5 |
| value: 40.20941666666666 |
| - type: mrr_at_1 |
| value: 37.013000000000005 |
| - type: mrr_at_10 |
| value: 46.30600000000001 |
| - type: mrr_at_100 |
| value: 47.094666666666676 |
| - type: mrr_at_1000 |
| value: 47.139583333333334 |
| - type: mrr_at_3 |
| value: 43.805749999999996 |
| - type: mrr_at_5 |
| value: 45.22366666666666 |
| - type: ndcg_at_1 |
| value: 37.013000000000005 |
| - type: ndcg_at_10 |
| value: 47.63491666666667 |
| - type: ndcg_at_100 |
| value: 52.71083333333334 |
| - type: ndcg_at_1000 |
| value: 54.493583333333326 |
| - type: ndcg_at_3 |
| value: 42.43616666666666 |
| - type: ndcg_at_5 |
| value: 44.87583333333334 |
| - type: precision_at_1 |
| value: 37.013000000000005 |
| - type: precision_at_10 |
| value: 8.481583333333333 |
| - type: precision_at_100 |
| value: 1.3073333333333337 |
| - type: precision_at_1000 |
| value: 0.16341666666666668 |
| - type: precision_at_3 |
| value: 19.811833333333333 |
| - type: precision_at_5 |
| value: 14.07691666666667 |
| - type: recall_at_1 |
| value: 30.69458333333333 |
| - type: recall_at_10 |
| value: 60.462083333333325 |
| - type: recall_at_100 |
| value: 82.42325000000001 |
| - type: recall_at_1000 |
| value: 94.53291666666667 |
| - type: recall_at_3 |
| value: 45.7405 |
| - type: recall_at_5 |
| value: 52.14025 |
| - task: |
| type: Retrieval |
| dataset: |
| type: BeIR/cqadupstack |
| name: MTEB CQADupstackStatsRetrieval |
| config: default |
| split: test |
| revision: None |
| metrics: |
| - type: map_at_1 |
| value: 27.833000000000002 |
| - type: map_at_10 |
| value: 36.55 |
| - type: map_at_100 |
| value: 37.524 |
| - type: map_at_1000 |
| value: 37.613 |
| - type: map_at_3 |
| value: 33.552 |
| - type: map_at_5 |
| value: 35.173 |
| - type: mrr_at_1 |
| value: 31.135 |
| - type: mrr_at_10 |
| value: 39.637 |
| - type: mrr_at_100 |
| value: 40.361000000000004 |
| - type: mrr_at_1000 |
| value: 40.422000000000004 |
| - type: mrr_at_3 |
| value: 36.887 |
| - type: mrr_at_5 |
| value: 38.428000000000004 |
| - type: ndcg_at_1 |
| value: 31.135 |
| - type: ndcg_at_10 |
| value: 42.007 |
| - type: ndcg_at_100 |
| value: 46.531 |
| - type: ndcg_at_1000 |
| value: 48.643 |
| - type: ndcg_at_3 |
| value: 36.437999999999995 |
| - type: ndcg_at_5 |
| value: 39.021 |
| - type: precision_at_1 |
| value: 31.135 |
| - type: precision_at_10 |
| value: 6.856 |
| - type: precision_at_100 |
| value: 0.988 |
| - type: precision_at_1000 |
| value: 0.125 |
| - type: precision_at_3 |
| value: 15.9 |
| - type: precision_at_5 |
| value: 11.227 |
| - type: recall_at_1 |
| value: 27.833000000000002 |
| - type: recall_at_10 |
| value: 55.711 |
| - type: recall_at_100 |
| value: 76.255 |
| - type: recall_at_1000 |
| value: 91.51899999999999 |
| - type: recall_at_3 |
| value: 40.22 |
| - type: recall_at_5 |
| value: 46.69 |
| - task: |
| type: Retrieval |
| dataset: |
| type: BeIR/cqadupstack |
| name: MTEB CQADupstackTexRetrieval |
| config: default |
| split: test |
| revision: None |
| metrics: |
| - type: map_at_1 |
| value: 21.274 |
| - type: map_at_10 |
| value: 29.925 |
| - type: map_at_100 |
| value: 31.171 |
| - type: map_at_1000 |
| value: 31.296000000000003 |
| - type: map_at_3 |
| value: 27.209 |
| - type: map_at_5 |
| value: 28.707 |
| - type: mrr_at_1 |
| value: 26.462000000000003 |
| - type: mrr_at_10 |
| value: 34.604 |
| - type: mrr_at_100 |
| value: 35.554 |
| - type: mrr_at_1000 |
| value: 35.622 |
| - type: mrr_at_3 |
| value: 32.295 |
| - type: mrr_at_5 |
| value: 33.598 |
| - type: ndcg_at_1 |
| value: 26.462000000000003 |
| - type: ndcg_at_10 |
| value: 35.193000000000005 |
| - type: ndcg_at_100 |
| value: 40.876000000000005 |
| - type: ndcg_at_1000 |
| value: 43.442 |
| - type: ndcg_at_3 |
| value: 30.724 |
| - type: ndcg_at_5 |
| value: 32.735 |
| - type: precision_at_1 |
| value: 26.462000000000003 |
| - type: precision_at_10 |
| value: 6.438000000000001 |
| - type: precision_at_100 |
| value: 1.093 |
| - type: precision_at_1000 |
| value: 0.15 |
| - type: precision_at_3 |
| value: 14.636 |
| - type: precision_at_5 |
| value: 10.496 |
| - type: recall_at_1 |
| value: 21.274 |
| - type: recall_at_10 |
| value: 46.322 |
| - type: recall_at_100 |
| value: 71.702 |
| - type: recall_at_1000 |
| value: 89.405 |
| - type: recall_at_3 |
| value: 33.444 |
| - type: recall_at_5 |
| value: 38.83 |
| - task: |
| type: Retrieval |
| dataset: |
| type: BeIR/cqadupstack |
| name: MTEB CQADupstackUnixRetrieval |
| config: default |
| split: test |
| revision: None |
| metrics: |
| - type: map_at_1 |
| value: 31.174000000000003 |
| - type: map_at_10 |
| value: 42.798 |
| - type: map_at_100 |
| value: 43.996 |
| - type: map_at_1000 |
| value: 44.088 |
| - type: map_at_3 |
| value: 39.255 |
| - type: map_at_5 |
| value: 41.336 |
| - type: mrr_at_1 |
| value: 37.22 |
| - type: mrr_at_10 |
| value: 47.035 |
| - type: mrr_at_100 |
| value: 47.833999999999996 |
| - type: mrr_at_1000 |
| value: 47.88 |
| - type: mrr_at_3 |
| value: 44.248 |
| - type: mrr_at_5 |
| value: 45.815 |
| - type: ndcg_at_1 |
| value: 37.22 |
| - type: ndcg_at_10 |
| value: 48.931999999999995 |
| - type: ndcg_at_100 |
| value: 53.991 |
| - type: ndcg_at_1000 |
| value: 55.825 |
| - type: ndcg_at_3 |
| value: 43.144 |
| - type: ndcg_at_5 |
| value: 45.964 |
| - type: precision_at_1 |
| value: 37.22 |
| - type: precision_at_10 |
| value: 8.451 |
| - type: precision_at_100 |
| value: 1.2189999999999999 |
| - type: precision_at_1000 |
| value: 0.149 |
| - type: precision_at_3 |
| value: 20.087 |
| - type: precision_at_5 |
| value: 14.235000000000001 |
| - type: recall_at_1 |
| value: 31.174000000000003 |
| - type: recall_at_10 |
| value: 63.232 |
| - type: recall_at_100 |
| value: 84.747 |
| - type: recall_at_1000 |
| value: 97.006 |
| - type: recall_at_3 |
| value: 47.087 |
| - type: recall_at_5 |
| value: 54.493 |
| - task: |
| type: Retrieval |
| dataset: |
| type: BeIR/cqadupstack |
| name: MTEB CQADupstackWebmastersRetrieval |
| config: default |
| split: test |
| revision: None |
| metrics: |
| - type: map_at_1 |
| value: 29.628 |
| - type: map_at_10 |
| value: 39.995999999999995 |
| - type: map_at_100 |
| value: 41.899 |
| - type: map_at_1000 |
| value: 42.125 |
| - type: map_at_3 |
| value: 36.345 |
| - type: map_at_5 |
| value: 38.474000000000004 |
| - type: mrr_at_1 |
| value: 36.364000000000004 |
| - type: mrr_at_10 |
| value: 45.293 |
| - type: mrr_at_100 |
| value: 46.278999999999996 |
| - type: mrr_at_1000 |
| value: 46.318 |
| - type: mrr_at_3 |
| value: 42.522999999999996 |
| - type: mrr_at_5 |
| value: 44.104 |
| - type: ndcg_at_1 |
| value: 36.364000000000004 |
| - type: ndcg_at_10 |
| value: 46.622 |
| - type: ndcg_at_100 |
| value: 52.617000000000004 |
| - type: ndcg_at_1000 |
| value: 54.529 |
| - type: ndcg_at_3 |
| value: 40.971999999999994 |
| - type: ndcg_at_5 |
| value: 43.738 |
| - type: precision_at_1 |
| value: 36.364000000000004 |
| - type: precision_at_10 |
| value: 9.110999999999999 |
| - type: precision_at_100 |
| value: 1.846 |
| - type: precision_at_1000 |
| value: 0.256 |
| - type: precision_at_3 |
| value: 19.236 |
| - type: precision_at_5 |
| value: 14.269000000000002 |
| - type: recall_at_1 |
| value: 29.628 |
| - type: recall_at_10 |
| value: 58.706 |
| - type: recall_at_100 |
| value: 85.116 |
| - type: recall_at_1000 |
| value: 97.258 |
| - type: recall_at_3 |
| value: 42.655 |
| - type: recall_at_5 |
| value: 49.909 |
| - task: |
| type: Retrieval |
| dataset: |
| type: BeIR/cqadupstack |
| name: MTEB CQADupstackWordpressRetrieval |
| config: default |
| split: test |
| revision: None |
| metrics: |
| - type: map_at_1 |
| value: 25.499 |
| - type: map_at_10 |
| value: 34.284 |
| - type: map_at_100 |
| value: 35.416 |
| - type: map_at_1000 |
| value: 35.494 |
| - type: map_at_3 |
| value: 31.911 |
| - type: map_at_5 |
| value: 33.159 |
| - type: mrr_at_1 |
| value: 28.096 |
| - type: mrr_at_10 |
| value: 36.699 |
| - type: mrr_at_100 |
| value: 37.657000000000004 |
| - type: mrr_at_1000 |
| value: 37.714999999999996 |
| - type: mrr_at_3 |
| value: 34.72 |
| - type: mrr_at_5 |
| value: 35.746 |
| - type: ndcg_at_1 |
| value: 28.096 |
| - type: ndcg_at_10 |
| value: 39.041 |
| - type: ndcg_at_100 |
| value: 44.633 |
| - type: ndcg_at_1000 |
| value: 46.522000000000006 |
| - type: ndcg_at_3 |
| value: 34.663 |
| - type: ndcg_at_5 |
| value: 36.538 |
| - type: precision_at_1 |
| value: 28.096 |
| - type: precision_at_10 |
| value: 6.0440000000000005 |
| - type: precision_at_100 |
| value: 0.9520000000000001 |
| - type: precision_at_1000 |
| value: 0.121 |
| - type: precision_at_3 |
| value: 14.911 |
| - type: precision_at_5 |
| value: 10.277 |
| - type: recall_at_1 |
| value: 25.499 |
| - type: recall_at_10 |
| value: 51.26199999999999 |
| - type: recall_at_100 |
| value: 76.896 |
| - type: recall_at_1000 |
| value: 90.763 |
| - type: recall_at_3 |
| value: 39.376 |
| - type: recall_at_5 |
| value: 43.785000000000004 |
| - task: |
| type: Retrieval |
| dataset: |
| type: climate-fever |
| name: MTEB ClimateFEVER |
| config: default |
| split: test |
| revision: None |
| metrics: |
| - type: map_at_1 |
| value: 10.532 |
| - type: map_at_10 |
| value: 19.911 |
| - type: map_at_100 |
| value: 21.926000000000002 |
| - type: map_at_1000 |
| value: 22.113 |
| - type: map_at_3 |
| value: 16.118 |
| - type: map_at_5 |
| value: 18.043 |
| - type: mrr_at_1 |
| value: 23.909 |
| - type: mrr_at_10 |
| value: 37.029 |
| - type: mrr_at_100 |
| value: 38.015 |
| - type: mrr_at_1000 |
| value: 38.054 |
| - type: mrr_at_3 |
| value: 33.29 |
| - type: mrr_at_5 |
| value: 35.446 |
| - type: ndcg_at_1 |
| value: 23.909 |
| - type: ndcg_at_10 |
| value: 28.691 |
| - type: ndcg_at_100 |
| value: 36.341 |
| - type: ndcg_at_1000 |
| value: 39.644 |
| - type: ndcg_at_3 |
| value: 22.561 |
| - type: ndcg_at_5 |
| value: 24.779999999999998 |
| - type: precision_at_1 |
| value: 23.909 |
| - type: precision_at_10 |
| value: 9.433 |
| - type: precision_at_100 |
| value: 1.763 |
| - type: precision_at_1000 |
| value: 0.23800000000000002 |
| - type: precision_at_3 |
| value: 17.438000000000002 |
| - type: precision_at_5 |
| value: 13.758999999999999 |
| - type: recall_at_1 |
| value: 10.532 |
| - type: recall_at_10 |
| value: 36.079 |
| - type: recall_at_100 |
| value: 62.156 |
| - type: recall_at_1000 |
| value: 80.53099999999999 |
| - type: recall_at_3 |
| value: 21.384 |
| - type: recall_at_5 |
| value: 27.29 |
| - task: |
| type: Retrieval |
| dataset: |
| type: dbpedia-entity |
| name: MTEB DBPedia |
| config: default |
| split: test |
| revision: None |
| metrics: |
| - type: map_at_1 |
| value: 9.483 |
| - type: map_at_10 |
| value: 21.986 |
| - type: map_at_100 |
| value: 31.319000000000003 |
| - type: map_at_1000 |
| value: 33.231 |
| - type: map_at_3 |
| value: 15.193000000000001 |
| - type: map_at_5 |
| value: 18.116 |
| - type: mrr_at_1 |
| value: 74 |
| - type: mrr_at_10 |
| value: 80.047 |
| - type: mrr_at_100 |
| value: 80.406 |
| - type: mrr_at_1000 |
| value: 80.414 |
| - type: mrr_at_3 |
| value: 78.667 |
| - type: mrr_at_5 |
| value: 79.467 |
| - type: ndcg_at_1 |
| value: 61.875 |
| - type: ndcg_at_10 |
| value: 46.544999999999995 |
| - type: ndcg_at_100 |
| value: 51.097 |
| - type: ndcg_at_1000 |
| value: 58.331999999999994 |
| - type: ndcg_at_3 |
| value: 51.622 |
| - type: ndcg_at_5 |
| value: 49.016 |
| - type: precision_at_1 |
| value: 74 |
| - type: precision_at_10 |
| value: 37.325 |
| - type: precision_at_100 |
| value: 11.743 |
| - type: precision_at_1000 |
| value: 2.423 |
| - type: precision_at_3 |
| value: 54.75 |
| - type: precision_at_5 |
| value: 47.699999999999996 |
| - type: recall_at_1 |
| value: 9.483 |
| - type: recall_at_10 |
| value: 27.477 |
| - type: recall_at_100 |
| value: 57.099999999999994 |
| - type: recall_at_1000 |
| value: 80.56 |
| - type: recall_at_3 |
| value: 16.543 |
| - type: recall_at_5 |
| value: 20.830000000000002 |
| - task: |
| type: Classification |
| dataset: |
| type: mteb/emotion |
| name: MTEB EmotionClassification |
| config: default |
| split: test |
| revision: 4f58c6b202a23cf9a4da393831edf4f9183cad37 |
| metrics: |
| - type: accuracy |
| value: 50.06 |
| - type: f1 |
| value: 44.99375486940016 |
| - task: |
| type: Retrieval |
| dataset: |
| type: fever |
| name: MTEB FEVER |
| config: default |
| split: test |
| revision: None |
| metrics: |
| - type: map_at_1 |
| value: 70.94 |
| - type: map_at_10 |
| value: 80.854 |
| - type: map_at_100 |
| value: 81.096 |
| - type: map_at_1000 |
| value: 81.109 |
| - type: map_at_3 |
| value: 79.589 |
| - type: map_at_5 |
| value: 80.431 |
| - type: mrr_at_1 |
| value: 76.44800000000001 |
| - type: mrr_at_10 |
| value: 85.07000000000001 |
| - type: mrr_at_100 |
| value: 85.168 |
| - type: mrr_at_1000 |
| value: 85.17 |
| - type: mrr_at_3 |
| value: 84.221 |
| - type: mrr_at_5 |
| value: 84.832 |
| - type: ndcg_at_1 |
| value: 76.44800000000001 |
| - type: ndcg_at_10 |
| value: 85.019 |
| - type: ndcg_at_100 |
| value: 85.886 |
| - type: ndcg_at_1000 |
| value: 86.09400000000001 |
| - type: ndcg_at_3 |
| value: 83.023 |
| - type: ndcg_at_5 |
| value: 84.223 |
| - type: precision_at_1 |
| value: 76.44800000000001 |
| - type: precision_at_10 |
| value: 10.405000000000001 |
| - type: precision_at_100 |
| value: 1.105 |
| - type: precision_at_1000 |
| value: 0.11399999999999999 |
| - type: precision_at_3 |
| value: 32.208 |
| - type: precision_at_5 |
| value: 20.122999999999998 |
| - type: recall_at_1 |
| value: 70.94 |
| - type: recall_at_10 |
| value: 93.508 |
| - type: recall_at_100 |
| value: 96.962 |
| - type: recall_at_1000 |
| value: 98.24300000000001 |
| - type: recall_at_3 |
| value: 88.17099999999999 |
| - type: recall_at_5 |
| value: 91.191 |
| - task: |
| type: Retrieval |
| dataset: |
| type: fiqa |
| name: MTEB FiQA2018 |
| config: default |
| split: test |
| revision: None |
| metrics: |
| - type: map_at_1 |
| value: 23.844 |
| - type: map_at_10 |
| value: 41.629 |
| - type: map_at_100 |
| value: 43.766 |
| - type: map_at_1000 |
| value: 43.916 |
| - type: map_at_3 |
| value: 35.992000000000004 |
| - type: map_at_5 |
| value: 39.302 |
| - type: mrr_at_1 |
| value: 45.988 |
| - type: mrr_at_10 |
| value: 56.050999999999995 |
| - type: mrr_at_100 |
| value: 56.741 |
| - type: mrr_at_1000 |
| value: 56.767999999999994 |
| - type: mrr_at_3 |
| value: 53.498000000000005 |
| - type: mrr_at_5 |
| value: 55.071999999999996 |
| - type: ndcg_at_1 |
| value: 45.988 |
| - type: ndcg_at_10 |
| value: 49.891999999999996 |
| - type: ndcg_at_100 |
| value: 56.727000000000004 |
| - type: ndcg_at_1000 |
| value: 58.952000000000005 |
| - type: ndcg_at_3 |
| value: 45.09 |
| - type: ndcg_at_5 |
| value: 46.943 |
| - type: precision_at_1 |
| value: 45.988 |
| - type: precision_at_10 |
| value: 13.980999999999998 |
| - type: precision_at_100 |
| value: 2.136 |
| - type: precision_at_1000 |
| value: 0.252 |
| - type: precision_at_3 |
| value: 30.556 |
| - type: precision_at_5 |
| value: 22.778000000000002 |
| - type: recall_at_1 |
| value: 23.844 |
| - type: recall_at_10 |
| value: 58.46 |
| - type: recall_at_100 |
| value: 82.811 |
| - type: recall_at_1000 |
| value: 96.084 |
| - type: recall_at_3 |
| value: 41.636 |
| - type: recall_at_5 |
| value: 49.271 |
| - task: |
| type: Retrieval |
| dataset: |
| type: hotpotqa |
| name: MTEB HotpotQA |
| config: default |
| split: test |
| revision: None |
| metrics: |
| - type: map_at_1 |
| value: 40.108 |
| - type: map_at_10 |
| value: 65.846 |
| - type: map_at_100 |
| value: 66.691 |
| - type: map_at_1000 |
| value: 66.743 |
| - type: map_at_3 |
| value: 62.09 |
| - type: map_at_5 |
| value: 64.412 |
| - type: mrr_at_1 |
| value: 80.216 |
| - type: mrr_at_10 |
| value: 85.768 |
| - type: mrr_at_100 |
| value: 85.92699999999999 |
| - type: mrr_at_1000 |
| value: 85.932 |
| - type: mrr_at_3 |
| value: 85.012 |
| - type: mrr_at_5 |
| value: 85.495 |
| - type: ndcg_at_1 |
| value: 80.216 |
| - type: ndcg_at_10 |
| value: 73.833 |
| - type: ndcg_at_100 |
| value: 76.68 |
| - type: ndcg_at_1000 |
| value: 77.639 |
| - type: ndcg_at_3 |
| value: 68.7 |
| - type: ndcg_at_5 |
| value: 71.514 |
| - type: precision_at_1 |
| value: 80.216 |
| - type: precision_at_10 |
| value: 15.616 |
| - type: precision_at_100 |
| value: 1.783 |
| - type: precision_at_1000 |
| value: 0.191 |
| - type: precision_at_3 |
| value: 44.483 |
| - type: precision_at_5 |
| value: 28.904999999999998 |
| - type: recall_at_1 |
| value: 40.108 |
| - type: recall_at_10 |
| value: 78.082 |
| - type: recall_at_100 |
| value: 89.129 |
| - type: recall_at_1000 |
| value: 95.381 |
| - type: recall_at_3 |
| value: 66.725 |
| - type: recall_at_5 |
| value: 72.262 |
| - task: |
| type: Classification |
| dataset: |
| type: mteb/imdb |
| name: MTEB ImdbClassification |
| config: default |
| split: test |
| revision: 3d86128a09e091d6018b6d26cad27f2739fc2db7 |
| metrics: |
| - type: accuracy |
| value: 94.3208 |
| - type: ap |
| value: 91.64852216825692 |
| - type: f1 |
| value: 94.31672442494217 |
| - task: |
| type: Retrieval |
| dataset: |
| type: msmarco |
| name: MTEB MSMARCO |
| config: default |
| split: dev |
| revision: None |
| metrics: |
| - type: map_at_1 |
| value: 16.954 |
| - type: map_at_10 |
| value: 28.605000000000004 |
| - type: map_at_100 |
| value: 29.875 |
| - type: map_at_1000 |
| value: 29.934 |
| - type: map_at_3 |
| value: 24.57 |
| - type: map_at_5 |
| value: 26.845000000000002 |
| - type: mrr_at_1 |
| value: 17.407 |
| - type: mrr_at_10 |
| value: 29.082 |
| - type: mrr_at_100 |
| value: 30.309 |
| - type: mrr_at_1000 |
| value: 30.361 |
| - type: mrr_at_3 |
| value: 25.112000000000002 |
| - type: mrr_at_5 |
| value: 27.37 |
| - type: ndcg_at_1 |
| value: 17.407 |
| - type: ndcg_at_10 |
| value: 35.555 |
| - type: ndcg_at_100 |
| value: 41.808 |
| - type: ndcg_at_1000 |
| value: 43.277 |
| - type: ndcg_at_3 |
| value: 27.291999999999998 |
| - type: ndcg_at_5 |
| value: 31.369999999999997 |
| - type: precision_at_1 |
| value: 17.407 |
| - type: precision_at_10 |
| value: 5.9670000000000005 |
| - type: precision_at_100 |
| value: 0.9119999999999999 |
| - type: precision_at_1000 |
| value: 0.104 |
| - type: precision_at_3 |
| value: 11.939 |
| - type: precision_at_5 |
| value: 9.223 |
| - type: recall_at_1 |
| value: 16.954 |
| - type: recall_at_10 |
| value: 57.216 |
| - type: recall_at_100 |
| value: 86.384 |
| - type: recall_at_1000 |
| value: 97.64 |
| - type: recall_at_3 |
| value: 34.660999999999994 |
| - type: recall_at_5 |
| value: 44.484 |
| - task: |
| type: Classification |
| dataset: |
| type: mteb/mtop_domain |
| name: MTEB MTOPDomainClassification (en) |
| config: en |
| split: test |
| revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf |
| metrics: |
| - type: accuracy |
| value: 95.29183766529867 |
| - type: f1 |
| value: 95.01282555921513 |
| - task: |
| type: Classification |
| dataset: |
| type: mteb/mtop_intent |
| name: MTEB MTOPIntentClassification (en) |
| config: en |
| split: test |
| revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba |
| metrics: |
| - type: accuracy |
| value: 87.07934336525307 |
| - type: f1 |
| value: 69.58693991783085 |
| - task: |
| type: Classification |
| dataset: |
| type: mteb/amazon_massive_intent |
| name: MTEB MassiveIntentClassification (en) |
| config: en |
| split: test |
| revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7 |
| metrics: |
| - type: accuracy |
| value: 79.71755211835911 |
| - type: f1 |
| value: 77.08207736007755 |
| - task: |
| type: Classification |
| dataset: |
| type: mteb/amazon_massive_scenario |
| name: MTEB MassiveScenarioClassification (en) |
| config: en |
| split: test |
| revision: 7d571f92784cd94a019292a1f45445077d0ef634 |
| metrics: |
| - type: accuracy |
| value: 81.08607935440484 |
| - type: f1 |
| value: 80.71191664406739 |
| - task: |
| type: Clustering |
| dataset: |
| type: mteb/medrxiv-clustering-p2p |
| name: MTEB MedrxivClusteringP2P |
| config: default |
| split: test |
| revision: e7a26af6f3ae46b30dde8737f02c07b1505bcc73 |
| metrics: |
| - type: v_measure |
| value: 36.5355083590869 |
| - task: |
| type: Clustering |
| dataset: |
| type: mteb/medrxiv-clustering-s2s |
| name: MTEB MedrxivClusteringS2S |
| config: default |
| split: test |
| revision: 35191c8c0dca72d8ff3efcd72aa802307d469663 |
| metrics: |
| - type: v_measure |
| value: 37.24173539348128 |
| - task: |
| type: Reranking |
| dataset: |
| type: mteb/mind_small |
| name: MTEB MindSmallReranking |
| config: default |
| split: test |
| revision: 3bdac13927fdc888b903db93b2ffdbd90b295a69 |
| metrics: |
| - type: map |
| value: 32.84293003435578 |
| - type: mrr |
| value: 34.09721970493348 |
| - task: |
| type: Retrieval |
| dataset: |
| type: nfcorpus |
| name: MTEB NFCorpus |
| config: default |
| split: test |
| revision: None |
| metrics: |
| - type: map_at_1 |
| value: 6.369 |
| - type: map_at_10 |
| value: 14.892 |
| - type: map_at_100 |
| value: 18.884999999999998 |
| - type: map_at_1000 |
| value: 20.43 |
| - type: map_at_3 |
| value: 10.735999999999999 |
| - type: map_at_5 |
| value: 12.703000000000001 |
| - type: mrr_at_1 |
| value: 50.15500000000001 |
| - type: mrr_at_10 |
| value: 59.948 |
| - type: mrr_at_100 |
| value: 60.422 |
| - type: mrr_at_1000 |
| value: 60.455999999999996 |
| - type: mrr_at_3 |
| value: 58.204 |
| - type: mrr_at_5 |
| value: 59.35 |
| - type: ndcg_at_1 |
| value: 47.678 |
| - type: ndcg_at_10 |
| value: 39.050000000000004 |
| - type: ndcg_at_100 |
| value: 35.905 |
| - type: ndcg_at_1000 |
| value: 44.662 |
| - type: ndcg_at_3 |
| value: 44.781 |
| - type: ndcg_at_5 |
| value: 42.549 |
| - type: precision_at_1 |
| value: 49.226 |
| - type: precision_at_10 |
| value: 28.762 |
| - type: precision_at_100 |
| value: 8.767999999999999 |
| - type: precision_at_1000 |
| value: 2.169 |
| - type: precision_at_3 |
| value: 41.796 |
| - type: precision_at_5 |
| value: 37.09 |
| - type: recall_at_1 |
| value: 6.369 |
| - type: recall_at_10 |
| value: 19.842000000000002 |
| - type: recall_at_100 |
| value: 37.017 |
| - type: recall_at_1000 |
| value: 68.444 |
| - type: recall_at_3 |
| value: 12.446 |
| - type: recall_at_5 |
| value: 15.525 |
| - task: |
| type: Retrieval |
| dataset: |
| type: nq |
| name: MTEB NQ |
| config: default |
| split: test |
| revision: None |
| metrics: |
| - type: map_at_1 |
| value: 39.663 |
| - type: map_at_10 |
| value: 56.252 |
| - type: map_at_100 |
| value: 57.018 |
| - type: map_at_1000 |
| value: 57.031 |
| - type: map_at_3 |
| value: 52.020999999999994 |
| - type: map_at_5 |
| value: 54.626 |
| - type: mrr_at_1 |
| value: 44.699 |
| - type: mrr_at_10 |
| value: 58.819 |
| - type: mrr_at_100 |
| value: 59.351 |
| - type: mrr_at_1000 |
| value: 59.358 |
| - type: mrr_at_3 |
| value: 55.615 |
| - type: mrr_at_5 |
| value: 57.598000000000006 |
| - type: ndcg_at_1 |
| value: 44.699 |
| - type: ndcg_at_10 |
| value: 63.873999999999995 |
| - type: ndcg_at_100 |
| value: 66.973 |
| - type: ndcg_at_1000 |
| value: 67.23700000000001 |
| - type: ndcg_at_3 |
| value: 56.25599999999999 |
| - type: ndcg_at_5 |
| value: 60.44199999999999 |
| - type: precision_at_1 |
| value: 44.699 |
| - type: precision_at_10 |
| value: 10.075000000000001 |
| - type: precision_at_100 |
| value: 1.185 |
| - type: precision_at_1000 |
| value: 0.121 |
| - type: precision_at_3 |
| value: 25.202999999999996 |
| - type: precision_at_5 |
| value: 17.584 |
| - type: recall_at_1 |
| value: 39.663 |
| - type: recall_at_10 |
| value: 84.313 |
| - type: recall_at_100 |
| value: 97.56700000000001 |
| - type: recall_at_1000 |
| value: 99.44 |
| - type: recall_at_3 |
| value: 64.938 |
| - type: recall_at_5 |
| value: 74.515 |
| - task: |
| type: Retrieval |
| dataset: |
| type: quora |
| name: MTEB QuoraRetrieval |
| config: default |
| split: test |
| revision: None |
| metrics: |
| - type: map_at_1 |
| value: 69.708 |
| - type: map_at_10 |
| value: 83.86099999999999 |
| - type: map_at_100 |
| value: 84.513 |
| - type: map_at_1000 |
| value: 84.53 |
| - type: map_at_3 |
| value: 80.854 |
| - type: map_at_5 |
| value: 82.757 |
| - type: mrr_at_1 |
| value: 80.15 |
| - type: mrr_at_10 |
| value: 86.70400000000001 |
| - type: mrr_at_100 |
| value: 86.81400000000001 |
| - type: mrr_at_1000 |
| value: 86.815 |
| - type: mrr_at_3 |
| value: 85.658 |
| - type: mrr_at_5 |
| value: 86.37599999999999 |
| - type: ndcg_at_1 |
| value: 80.17 |
| - type: ndcg_at_10 |
| value: 87.7 |
| - type: ndcg_at_100 |
| value: 88.979 |
| - type: ndcg_at_1000 |
| value: 89.079 |
| - type: ndcg_at_3 |
| value: 84.71600000000001 |
| - type: ndcg_at_5 |
| value: 86.385 |
| - type: precision_at_1 |
| value: 80.17 |
| - type: precision_at_10 |
| value: 13.369 |
| - type: precision_at_100 |
| value: 1.53 |
| - type: precision_at_1000 |
| value: 0.157 |
| - type: precision_at_3 |
| value: 37.123 |
| - type: precision_at_5 |
| value: 24.498 |
| - type: recall_at_1 |
| value: 69.708 |
| - type: recall_at_10 |
| value: 95.17099999999999 |
| - type: recall_at_100 |
| value: 99.529 |
| - type: recall_at_1000 |
| value: 99.97500000000001 |
| - type: recall_at_3 |
| value: 86.761 |
| - type: recall_at_5 |
| value: 91.34 |
| - task: |
| type: Clustering |
| dataset: |
| type: mteb/reddit-clustering |
| name: MTEB RedditClustering |
| config: default |
| split: test |
| revision: 24640382cdbf8abc73003fb0fa6d111a705499eb |
| metrics: |
| - type: v_measure |
| value: 63.005610557842786 |
| - task: |
| type: Clustering |
| dataset: |
| type: mteb/reddit-clustering-p2p |
| name: MTEB RedditClusteringP2P |
| config: default |
| split: test |
| revision: 282350215ef01743dc01b456c7f5241fa8937f16 |
| metrics: |
| - type: v_measure |
| value: 65.85897055439158 |
| - task: |
| type: Retrieval |
| dataset: |
| type: scidocs |
| name: MTEB SCIDOCS |
| config: default |
| split: test |
| revision: None |
| metrics: |
| - type: map_at_1 |
| value: 5.388 |
| - type: map_at_10 |
| value: 14.087 |
| - type: map_at_100 |
| value: 16.618 |
| - type: map_at_1000 |
| value: 16.967 |
| - type: map_at_3 |
| value: 9.8 |
| - type: map_at_5 |
| value: 11.907 |
| - type: mrr_at_1 |
| value: 26.5 |
| - type: mrr_at_10 |
| value: 37.905 |
| - type: mrr_at_100 |
| value: 39.053 |
| - type: mrr_at_1000 |
| value: 39.091 |
| - type: mrr_at_3 |
| value: 34.567 |
| - type: mrr_at_5 |
| value: 36.307 |
| - type: ndcg_at_1 |
| value: 26.5 |
| - type: ndcg_at_10 |
| value: 23.06 |
| - type: ndcg_at_100 |
| value: 32.164 |
| - type: ndcg_at_1000 |
| value: 37.574000000000005 |
| - type: ndcg_at_3 |
| value: 21.623 |
| - type: ndcg_at_5 |
| value: 18.95 |
| - type: precision_at_1 |
| value: 26.5 |
| - type: precision_at_10 |
| value: 12.030000000000001 |
| - type: precision_at_100 |
| value: 2.5020000000000002 |
| - type: precision_at_1000 |
| value: 0.379 |
| - type: precision_at_3 |
| value: 20.200000000000003 |
| - type: precision_at_5 |
| value: 16.64 |
| - type: recall_at_1 |
| value: 5.388 |
| - type: recall_at_10 |
| value: 24.375 |
| - type: recall_at_100 |
| value: 50.818 |
| - type: recall_at_1000 |
| value: 76.86699999999999 |
| - type: recall_at_3 |
| value: 12.273 |
| - type: recall_at_5 |
| value: 16.858 |
| - task: |
| type: STS |
| dataset: |
| type: mteb/sickr-sts |
| name: MTEB SICK-R |
| config: default |
| split: test |
| revision: a6ea5a8cab320b040a23452cc28066d9beae2cee |
| metrics: |
| - type: cos_sim_pearson |
| value: 85.09465497223438 |
| - type: cos_sim_spearman |
| value: 80.55601111843897 |
| - type: euclidean_pearson |
| value: 82.40135168520864 |
| - type: euclidean_spearman |
| value: 80.05606361845396 |
| - type: manhattan_pearson |
| value: 82.24092291787754 |
| - type: manhattan_spearman |
| value: 79.89739846820373 |
| - task: |
| type: STS |
| dataset: |
| type: mteb/sts12-sts |
| name: MTEB STS12 |
| config: default |
| split: test |
| revision: a0d554a64d88156834ff5ae9920b964011b16384 |
| metrics: |
| - type: cos_sim_pearson |
| value: 81.14210597635189 |
| - type: cos_sim_spearman |
| value: 73.69447481152118 |
| - type: euclidean_pearson |
| value: 75.08507068029972 |
| - type: euclidean_spearman |
| value: 71.04077458564372 |
| - type: manhattan_pearson |
| value: 75.64918699307383 |
| - type: manhattan_spearman |
| value: 71.61677355593945 |
| - task: |
| type: STS |
| dataset: |
| type: mteb/sts13-sts |
| name: MTEB STS13 |
| config: default |
| split: test |
| revision: 7e90230a92c190f1bf69ae9002b8cea547a64cca |
| metrics: |
| - type: cos_sim_pearson |
| value: 85.41396417076866 |
| - type: cos_sim_spearman |
| value: 85.82245898186092 |
| - type: euclidean_pearson |
| value: 85.58527168297935 |
| - type: euclidean_spearman |
| value: 85.94613250938504 |
| - type: manhattan_pearson |
| value: 85.88114899068759 |
| - type: manhattan_spearman |
| value: 86.42494392145366 |
| - task: |
| type: STS |
| dataset: |
| type: mteb/sts14-sts |
| name: MTEB STS14 |
| config: default |
| split: test |
| revision: 6031580fec1f6af667f0bd2da0a551cf4f0b2375 |
| metrics: |
| - type: cos_sim_pearson |
| value: 83.7431948980468 |
| - type: cos_sim_spearman |
| value: 82.05114289801895 |
| - type: euclidean_pearson |
| value: 83.06116666914892 |
| - type: euclidean_spearman |
| value: 81.82060562251957 |
| - type: manhattan_pearson |
| value: 83.1858437025367 |
| - type: manhattan_spearman |
| value: 82.09604293088852 |
| - task: |
| type: STS |
| dataset: |
| type: mteb/sts15-sts |
| name: MTEB STS15 |
| config: default |
| split: test |
| revision: ae752c7c21bf194d8b67fd573edf7ae58183cbe3 |
| metrics: |
| - type: cos_sim_pearson |
| value: 88.455985912287 |
| - type: cos_sim_spearman |
| value: 88.8044343107975 |
| - type: euclidean_pearson |
| value: 87.155336804123 |
| - type: euclidean_spearman |
| value: 87.79371420531842 |
| - type: manhattan_pearson |
| value: 87.5784376507174 |
| - type: manhattan_spearman |
| value: 88.429877987816 |
| - task: |
| type: STS |
| dataset: |
| type: mteb/sts16-sts |
| name: MTEB STS16 |
| config: default |
| split: test |
| revision: 4d8694f8f0e0100860b497b999b3dbed754a0513 |
| metrics: |
| - type: cos_sim_pearson |
| value: 85.1631000795076 |
| - type: cos_sim_spearman |
| value: 86.20042158061408 |
| - type: euclidean_pearson |
| value: 84.88605965960737 |
| - type: euclidean_spearman |
| value: 85.45926745772432 |
| - type: manhattan_pearson |
| value: 85.18333987666729 |
| - type: manhattan_spearman |
| value: 85.86048911387192 |
| - 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: 91.51301667439836 |
| - type: cos_sim_spearman |
| value: 91.46469919011143 |
| - type: euclidean_pearson |
| value: 91.15157693133415 |
| - type: euclidean_spearman |
| value: 91.02656400119739 |
| - type: manhattan_pearson |
| value: 91.08411259466446 |
| - type: manhattan_spearman |
| value: 90.84339904461068 |
| - task: |
| type: STS |
| dataset: |
| type: mteb/sts22-crosslingual-sts |
| name: MTEB STS22 (en) |
| config: en |
| split: test |
| revision: eea2b4fe26a775864c896887d910b76a8098ad3f |
| metrics: |
| - type: cos_sim_pearson |
| value: 69.08993728439704 |
| - type: cos_sim_spearman |
| value: 69.20885645170797 |
| - type: euclidean_pearson |
| value: 69.65638507632245 |
| - type: euclidean_spearman |
| value: 68.69831912688514 |
| - type: manhattan_pearson |
| value: 69.86621764969294 |
| - type: manhattan_spearman |
| value: 69.05446631856769 |
| - task: |
| type: STS |
| dataset: |
| type: mteb/stsbenchmark-sts |
| name: MTEB STSBenchmark |
| config: default |
| split: test |
| revision: b0fddb56ed78048fa8b90373c8a3cfc37b684831 |
| metrics: |
| - type: cos_sim_pearson |
| value: 86.96149243197495 |
| - type: cos_sim_spearman |
| value: 87.43145597912833 |
| - type: euclidean_pearson |
| value: 86.6762329641158 |
| - type: euclidean_spearman |
| value: 86.67085254401809 |
| - type: manhattan_pearson |
| value: 87.06412701458164 |
| - type: manhattan_spearman |
| value: 87.10197412769807 |
| - task: |
| type: Reranking |
| dataset: |
| type: mteb/scidocs-reranking |
| name: MTEB SciDocsRR |
| config: default |
| split: test |
| revision: d3c5e1fc0b855ab6097bf1cda04dd73947d7caab |
| metrics: |
| - type: map |
| value: 86.43440918697488 |
| - type: mrr |
| value: 96.3954826945023 |
| - task: |
| type: Retrieval |
| dataset: |
| type: scifact |
| name: MTEB SciFact |
| config: default |
| split: test |
| revision: None |
| metrics: |
| - type: map_at_1 |
| value: 60.494 |
| - type: map_at_10 |
| value: 72.074 |
| - type: map_at_100 |
| value: 72.475 |
| - type: map_at_1000 |
| value: 72.483 |
| - type: map_at_3 |
| value: 68.983 |
| - type: map_at_5 |
| value: 71.161 |
| - type: mrr_at_1 |
| value: 63.666999999999994 |
| - type: mrr_at_10 |
| value: 73.31299999999999 |
| - type: mrr_at_100 |
| value: 73.566 |
| - type: mrr_at_1000 |
| value: 73.574 |
| - type: mrr_at_3 |
| value: 71.111 |
| - type: mrr_at_5 |
| value: 72.72800000000001 |
| - type: ndcg_at_1 |
| value: 63.666999999999994 |
| - type: ndcg_at_10 |
| value: 77.024 |
| - type: ndcg_at_100 |
| value: 78.524 |
| - type: ndcg_at_1000 |
| value: 78.842 |
| - type: ndcg_at_3 |
| value: 72.019 |
| - type: ndcg_at_5 |
| value: 75.22999999999999 |
| - type: precision_at_1 |
| value: 63.666999999999994 |
| - type: precision_at_10 |
| value: 10.2 |
| - type: precision_at_100 |
| value: 1.103 |
| - type: precision_at_1000 |
| value: 0.11299999999999999 |
| - type: precision_at_3 |
| value: 28.111000000000004 |
| - type: precision_at_5 |
| value: 19 |
| - type: recall_at_1 |
| value: 60.494 |
| - type: recall_at_10 |
| value: 90.8 |
| - type: recall_at_100 |
| value: 97.333 |
| - type: recall_at_1000 |
| value: 100 |
| - type: recall_at_3 |
| value: 77.644 |
| - type: recall_at_5 |
| value: 85.694 |
| - task: |
| type: PairClassification |
| dataset: |
| type: mteb/sprintduplicatequestions-pairclassification |
| name: MTEB SprintDuplicateQuestions |
| config: default |
| split: test |
| revision: d66bd1f72af766a5cc4b0ca5e00c162f89e8cc46 |
| metrics: |
| - type: cos_sim_accuracy |
| value: 99.68415841584158 |
| - type: cos_sim_ap |
| value: 91.23713949701548 |
| - type: cos_sim_f1 |
| value: 83.70221327967808 |
| - type: cos_sim_precision |
| value: 84.21052631578947 |
| - type: cos_sim_recall |
| value: 83.2 |
| - type: dot_accuracy |
| value: 99.5 |
| - type: dot_ap |
| value: 79.46312132270363 |
| - type: dot_f1 |
| value: 72.75320970042794 |
| - type: dot_precision |
| value: 69.35630099728014 |
| - type: dot_recall |
| value: 76.5 |
| - type: euclidean_accuracy |
| value: 99.69108910891089 |
| - type: euclidean_ap |
| value: 90.9016163254649 |
| - type: euclidean_f1 |
| value: 83.91752577319586 |
| - type: euclidean_precision |
| value: 86.59574468085106 |
| - type: euclidean_recall |
| value: 81.39999999999999 |
| - type: manhattan_accuracy |
| value: 99.7039603960396 |
| - type: manhattan_ap |
| value: 91.5593806619311 |
| - type: manhattan_f1 |
| value: 85.08124076809453 |
| - type: manhattan_precision |
| value: 83.80213385063045 |
| - type: manhattan_recall |
| value: 86.4 |
| - type: max_accuracy |
| value: 99.7039603960396 |
| - type: max_ap |
| value: 91.5593806619311 |
| - type: max_f1 |
| value: 85.08124076809453 |
| - task: |
| type: Clustering |
| dataset: |
| type: mteb/stackexchange-clustering |
| name: MTEB StackExchangeClustering |
| config: default |
| split: test |
| revision: 6cbc1f7b2bc0622f2e39d2c77fa502909748c259 |
| metrics: |
| - type: v_measure |
| value: 74.40806543281603 |
| - task: |
| type: Clustering |
| dataset: |
| type: mteb/stackexchange-clustering-p2p |
| name: MTEB StackExchangeClusteringP2P |
| config: default |
| split: test |
| revision: 815ca46b2622cec33ccafc3735d572c266efdb44 |
| metrics: |
| - type: v_measure |
| value: 38.51757703316821 |
| - task: |
| type: Reranking |
| dataset: |
| type: mteb/stackoverflowdupquestions-reranking |
| name: MTEB StackOverflowDupQuestions |
| config: default |
| split: test |
| revision: e185fbe320c72810689fc5848eb6114e1ef5ec69 |
| metrics: |
| - type: map |
| value: 54.33475593449746 |
| - type: mrr |
| value: 55.3374474789916 |
| - task: |
| type: Summarization |
| dataset: |
| type: mteb/summeval |
| name: MTEB SummEval |
| config: default |
| split: test |
| revision: cda12ad7615edc362dbf25a00fdd61d3b1eaf93c |
| metrics: |
| - type: cos_sim_pearson |
| value: 30.249926396023596 |
| - type: cos_sim_spearman |
| value: 29.820375700458158 |
| - type: dot_pearson |
| value: 28.820307635930355 |
| - type: dot_spearman |
| value: 28.824273052746825 |
| - task: |
| type: Retrieval |
| dataset: |
| type: trec-covid |
| name: MTEB TRECCOVID |
| config: default |
| split: test |
| revision: None |
| metrics: |
| - type: map_at_1 |
| value: 0.233 |
| - type: map_at_10 |
| value: 2.061 |
| - type: map_at_100 |
| value: 12.607 |
| - type: map_at_1000 |
| value: 30.031000000000002 |
| - type: map_at_3 |
| value: 0.6669999999999999 |
| - type: map_at_5 |
| value: 1.091 |
| - type: mrr_at_1 |
| value: 88 |
| - type: mrr_at_10 |
| value: 93.067 |
| - type: mrr_at_100 |
| value: 93.067 |
| - type: mrr_at_1000 |
| value: 93.067 |
| - type: mrr_at_3 |
| value: 92.667 |
| - type: mrr_at_5 |
| value: 93.067 |
| - type: ndcg_at_1 |
| value: 84 |
| - type: ndcg_at_10 |
| value: 81.072 |
| - type: ndcg_at_100 |
| value: 62.875 |
| - type: ndcg_at_1000 |
| value: 55.641 |
| - type: ndcg_at_3 |
| value: 85.296 |
| - type: ndcg_at_5 |
| value: 84.10499999999999 |
| - type: precision_at_1 |
| value: 88 |
| - type: precision_at_10 |
| value: 83.39999999999999 |
| - type: precision_at_100 |
| value: 63.7 |
| - type: precision_at_1000 |
| value: 24.622 |
| - type: precision_at_3 |
| value: 88 |
| - type: precision_at_5 |
| value: 87.2 |
| - type: recall_at_1 |
| value: 0.233 |
| - type: recall_at_10 |
| value: 2.188 |
| - type: recall_at_100 |
| value: 15.52 |
| - type: recall_at_1000 |
| value: 52.05499999999999 |
| - type: recall_at_3 |
| value: 0.6859999999999999 |
| - type: recall_at_5 |
| value: 1.1440000000000001 |
| - task: |
| type: Retrieval |
| dataset: |
| type: webis-touche2020 |
| name: MTEB Touche2020 |
| config: default |
| split: test |
| revision: None |
| metrics: |
| - type: map_at_1 |
| value: 3.19 |
| - type: map_at_10 |
| value: 11.491999999999999 |
| - type: map_at_100 |
| value: 17.251 |
| - type: map_at_1000 |
| value: 18.795 |
| - type: map_at_3 |
| value: 6.146 |
| - type: map_at_5 |
| value: 8.113 |
| - type: mrr_at_1 |
| value: 44.897999999999996 |
| - type: mrr_at_10 |
| value: 56.57 |
| - type: mrr_at_100 |
| value: 57.348 |
| - type: mrr_at_1000 |
| value: 57.357 |
| - type: mrr_at_3 |
| value: 52.041000000000004 |
| - type: mrr_at_5 |
| value: 55.408 |
| - type: ndcg_at_1 |
| value: 40.816 |
| - type: ndcg_at_10 |
| value: 27.968 |
| - type: ndcg_at_100 |
| value: 39 |
| - type: ndcg_at_1000 |
| value: 50.292 |
| - type: ndcg_at_3 |
| value: 31.256 |
| - type: ndcg_at_5 |
| value: 28.855999999999998 |
| - type: precision_at_1 |
| value: 44.897999999999996 |
| - type: precision_at_10 |
| value: 24.285999999999998 |
| - type: precision_at_100 |
| value: 7.898 |
| - type: precision_at_1000 |
| value: 1.541 |
| - type: precision_at_3 |
| value: 30.612000000000002 |
| - type: precision_at_5 |
| value: 27.346999999999998 |
| - type: recall_at_1 |
| value: 3.19 |
| - type: recall_at_10 |
| value: 17.954 |
| - type: recall_at_100 |
| value: 48.793 |
| - type: recall_at_1000 |
| value: 83.357 |
| - type: recall_at_3 |
| value: 6.973999999999999 |
| - type: recall_at_5 |
| value: 10.391 |
| - task: |
| type: Classification |
| dataset: |
| type: mteb/toxic_conversations_50k |
| name: MTEB ToxicConversationsClassification |
| config: default |
| split: test |
| revision: d7c0de2777da35d6aae2200a62c6e0e5af397c4c |
| metrics: |
| - type: accuracy |
| value: 70.89139999999999 |
| - type: ap |
| value: 15.562539739828049 |
| - type: f1 |
| value: 55.38685639741247 |
| - task: |
| type: Classification |
| dataset: |
| type: mteb/tweet_sentiment_extraction |
| name: MTEB TweetSentimentExtractionClassification |
| config: default |
| split: test |
| revision: d604517c81ca91fe16a244d1248fc021f9ecee7a |
| metrics: |
| - type: accuracy |
| value: 62.48160724391625 |
| - type: f1 |
| value: 62.76700854121342 |
| - task: |
| type: Clustering |
| dataset: |
| type: mteb/twentynewsgroups-clustering |
| name: MTEB TwentyNewsgroupsClustering |
| config: default |
| split: test |
| revision: 6125ec4e24fa026cec8a478383ee943acfbd5449 |
| metrics: |
| - type: v_measure |
| value: 57.157071531498275 |
| - task: |
| type: PairClassification |
| dataset: |
| type: mteb/twittersemeval2015-pairclassification |
| name: MTEB TwitterSemEval2015 |
| config: default |
| split: test |
| revision: 70970daeab8776df92f5ea462b6173c0b46fd2d1 |
| metrics: |
| - type: cos_sim_accuracy |
| value: 87.15503367705789 |
| - type: cos_sim_ap |
| value: 77.20584529783206 |
| - type: cos_sim_f1 |
| value: 71.3558088770313 |
| - type: cos_sim_precision |
| value: 66.02333931777379 |
| - type: cos_sim_recall |
| value: 77.62532981530343 |
| - type: dot_accuracy |
| value: 83.10186564940096 |
| - type: dot_ap |
| value: 64.34160146443133 |
| - type: dot_f1 |
| value: 63.23048153342683 |
| - type: dot_precision |
| value: 56.75618967687789 |
| - type: dot_recall |
| value: 71.37203166226914 |
| - type: euclidean_accuracy |
| value: 86.94045419324074 |
| - type: euclidean_ap |
| value: 76.08471767931738 |
| - type: euclidean_f1 |
| value: 71.41248592518455 |
| - type: euclidean_precision |
| value: 67.90387818225078 |
| - type: euclidean_recall |
| value: 75.30343007915567 |
| - type: manhattan_accuracy |
| value: 86.80932228646361 |
| - type: manhattan_ap |
| value: 76.03862870753638 |
| - type: manhattan_f1 |
| value: 71.2660917385327 |
| - type: manhattan_precision |
| value: 67.70363334124912 |
| - type: manhattan_recall |
| value: 75.22427440633246 |
| - type: max_accuracy |
| value: 87.15503367705789 |
| - type: max_ap |
| value: 77.20584529783206 |
| - type: max_f1 |
| value: 71.41248592518455 |
| - task: |
| type: PairClassification |
| dataset: |
| type: mteb/twitterurlcorpus-pairclassification |
| name: MTEB TwitterURLCorpus |
| config: default |
| split: test |
| revision: 8b6510b0b1fa4e4c4f879467980e9be563ec1cdf |
| metrics: |
| - type: cos_sim_accuracy |
| value: 89.42639810610471 |
| - type: cos_sim_ap |
| value: 86.45196525133669 |
| - type: cos_sim_f1 |
| value: 79.25172592977508 |
| - type: cos_sim_precision |
| value: 76.50852802063925 |
| - type: cos_sim_recall |
| value: 82.19895287958116 |
| - type: dot_accuracy |
| value: 87.03768385919976 |
| - type: dot_ap |
| value: 80.86465404774172 |
| - type: dot_f1 |
| value: 74.50351637940457 |
| - type: dot_precision |
| value: 70.72293324109305 |
| - type: dot_recall |
| value: 78.71111795503542 |
| - type: euclidean_accuracy |
| value: 89.29056545193464 |
| - type: euclidean_ap |
| value: 86.25102188096191 |
| - type: euclidean_f1 |
| value: 79.05038057267126 |
| - type: euclidean_precision |
| value: 74.681550472538 |
| - type: euclidean_recall |
| value: 83.9621188789652 |
| - type: manhattan_accuracy |
| value: 89.34877944657896 |
| - type: manhattan_ap |
| value: 86.35336214205911 |
| - type: manhattan_f1 |
| value: 79.20192588269623 |
| - type: manhattan_precision |
| value: 75.24951483227058 |
| - type: manhattan_recall |
| value: 83.59254696643055 |
| - type: max_accuracy |
| value: 89.42639810610471 |
| - type: max_ap |
| value: 86.45196525133669 |
| - type: max_f1 |
| value: 79.25172592977508 |
| base_model: |
| - mistralai/Mixtral-8x7B-Instruct-v0.1 |
| --- |
| |
| # Model Summary |
|
|
| > GritLM is a generative representational instruction tuned language model. It unifies text representation (embedding) and text generation into a single model achieving state-of-the-art performance on both types of tasks. |
|
|
| - **Repository:** [ContextualAI/gritlm](https://github.com/ContextualAI/gritlm) |
| - **Paper:** https://arxiv.org/abs/2402.09906 |
| - **Logs:** https://wandb.ai/muennighoff/gritlm/runs/id130s1m/overview |
| - **Script:** https://github.com/ContextualAI/gritlm/blob/main/scripts/training/train_gritlm_8x7b.sh |
|
|
| | Model | Description | |
| |-------|-------------| |
| | [GritLM 7B](https://hf.co/GritLM/GritLM-7B) | Mistral 7B finetuned using GRIT | |
| | [GritLM 8x7B](https://hf.co/GritLM/GritLM-8x7B) | Mixtral 8x7B finetuned using GRIT | |
|
|
| # Use |
|
|
| The model usage is documented [here](https://github.com/ContextualAI/gritlm?tab=readme-ov-file#inference). |
|
|
| # Citation |
|
|
| ```bibtex |
| @misc{muennighoff2024generative, |
| title={Generative Representational Instruction Tuning}, |
| author={Niklas Muennighoff and Hongjin Su and Liang Wang and Nan Yang and Furu Wei and Tao Yu and Amanpreet Singh and Douwe Kiela}, |
| year={2024}, |
| eprint={2402.09906}, |
| archivePrefix={arXiv}, |
| primaryClass={cs.CL} |
| } |
| ``` |
