--- license: apache-2.0 base_model: Alibaba-NLP/gme-Qwen2-VL-7B-Instruct language: - en - zh tags: - mteb - sentence-transformers - transformers - Qwen2-VL - sentence-similarity - vidore - llama-cpp - gguf-my-repo model-index: - name: gme-Qwen2-VL-7B-Instruct results: - task: type: STS dataset: name: MTEB AFQMC type: C-MTEB/AFQMC config: default split: validation revision: b44c3b011063adb25877c13823db83bb193913c4 metrics: - type: cos_sim_pearson value: 55.46303883144227 - type: cos_sim_spearman value: 59.66708815497073 - type: euclidean_pearson value: 57.81360946949099 - type: euclidean_spearman value: 59.66710825926347 - type: manhattan_pearson value: 57.723697562189344 - type: manhattan_spearman value: 59.55004095814257 - type: cos_sim_pearson value: 55.46303883144227 - type: cos_sim_spearman value: 59.66708815497073 - type: euclidean_pearson value: 57.81360946949099 - type: euclidean_spearman value: 59.66710825926347 - type: manhattan_pearson value: 57.723697562189344 - type: manhattan_spearman value: 59.55004095814257 - task: type: STS dataset: name: MTEB ATEC type: C-MTEB/ATEC config: default split: test revision: 0f319b1142f28d00e055a6770f3f726ae9b7d865 metrics: - type: cos_sim_pearson value: 52.381881068686894 - type: cos_sim_spearman value: 55.468235529709766 - type: euclidean_pearson value: 56.974786979175086 - type: euclidean_spearman value: 55.468231026153745 - type: manhattan_pearson value: 56.944671325662576 - type: manhattan_spearman value: 55.39037386224014 - type: cos_sim_pearson value: 52.381881068686894 - type: cos_sim_spearman value: 55.468235529709766 - type: euclidean_pearson value: 56.974786979175086 - type: euclidean_spearman value: 55.468231026153745 - type: manhattan_pearson value: 56.944671325662576 - type: manhattan_spearman value: 55.39037386224014 - task: type: Classification dataset: name: MTEB AmazonCounterfactualClassification (en) type: mteb/amazon_counterfactual config: en split: test revision: e8379541af4e31359cca9fbcf4b00f2671dba205 metrics: - type: accuracy value: 77.61194029850746 - type: ap value: 41.29789064067677 - type: f1 value: 71.69633278678522 - task: type: Classification dataset: name: MTEB AmazonPolarityClassification type: mteb/amazon_polarity config: default split: test revision: e2d317d38cd51312af73b3d32a06d1a08b442046 metrics: - type: accuracy value: 97.3258 - type: ap value: 95.91845683387056 - type: f1 value: 97.32526074864263 - type: accuracy value: 97.3258 - type: ap value: 95.91845683387056 - type: f1 value: 97.32526074864263 - task: type: Classification dataset: name: MTEB AmazonReviewsClassification (en) type: mteb/amazon_reviews_multi config: en split: test revision: 1399c76144fd37290681b995c656ef9b2e06e26d metrics: - type: accuracy value: 64.794 - type: f1 value: 63.7329780206882 - task: type: Retrieval dataset: name: MTEB ArguAna type: mteb/arguana config: default split: test revision: c22ab2a51041ffd869aaddef7af8d8215647e41a metrics: - type: map_at_1 value: 40.541 - type: map_at_10 value: 56.315000000000005 - type: map_at_100 value: 56.824 - type: map_at_1000 value: 56.825 - type: map_at_3 value: 51.778 - type: map_at_5 value: 54.623 - type: mrr_at_1 value: 41.038000000000004 - type: mrr_at_10 value: 56.532000000000004 - type: mrr_at_100 value: 57.034 - type: mrr_at_1000 value: 57.034 - type: mrr_at_3 value: 52.015 - type: mrr_at_5 value: 54.835 - type: ndcg_at_1 value: 40.541 - type: ndcg_at_10 value: 64.596 - type: ndcg_at_100 value: 66.656 - type: ndcg_at_1000 value: 66.666 - type: ndcg_at_3 value: 55.415000000000006 - type: ndcg_at_5 value: 60.527 - type: precision_at_1 value: 40.541 - type: precision_at_10 value: 9.083 - type: precision_at_100 value: 0.996 - type: precision_at_1000 value: 0.1 - type: precision_at_3 value: 21.977 - type: precision_at_5 value: 15.661 - type: recall_at_1 value: 40.541 - type: recall_at_10 value: 90.825 - type: recall_at_100 value: 99.57300000000001 - type: recall_at_1000 value: 99.644 - type: recall_at_3 value: 65.932 - type: recall_at_5 value: 78.307 - type: map_at_1 value: 40.541 - type: map_at_10 value: 56.315000000000005 - type: map_at_100 value: 56.824 - type: map_at_1000 value: 56.825 - type: map_at_3 value: 51.778 - type: map_at_5 value: 54.623 - type: mrr_at_1 value: 41.038000000000004 - type: mrr_at_10 value: 56.532000000000004 - type: mrr_at_100 value: 57.034 - type: mrr_at_1000 value: 57.034 - type: mrr_at_3 value: 52.015 - type: mrr_at_5 value: 54.835 - type: ndcg_at_1 value: 40.541 - type: ndcg_at_10 value: 64.596 - type: ndcg_at_100 value: 66.656 - type: ndcg_at_1000 value: 66.666 - type: ndcg_at_3 value: 55.415000000000006 - type: ndcg_at_5 value: 60.527 - type: precision_at_1 value: 40.541 - type: precision_at_10 value: 9.083 - type: precision_at_100 value: 0.996 - type: precision_at_1000 value: 0.1 - type: precision_at_3 value: 21.977 - type: precision_at_5 value: 15.661 - type: recall_at_1 value: 40.541 - type: recall_at_10 value: 90.825 - type: recall_at_100 value: 99.57300000000001 - type: recall_at_1000 value: 99.644 - type: recall_at_3 value: 65.932 - type: recall_at_5 value: 78.307 - task: type: Clustering dataset: name: MTEB ArxivClusteringP2P type: mteb/arxiv-clustering-p2p config: default split: test revision: a122ad7f3f0291bf49cc6f4d32aa80929df69d5d metrics: - type: v_measure value: 54.96111428218386 - type: v_measure value: 54.96111428218386 - task: type: Clustering dataset: name: MTEB ArxivClusteringS2S type: mteb/arxiv-clustering-s2s config: default split: test revision: f910caf1a6075f7329cdf8c1a6135696f37dbd53 metrics: - type: v_measure value: 50.637711388838945 - type: v_measure value: 50.637711388838945 - task: type: Reranking dataset: name: MTEB AskUbuntuDupQuestions type: mteb/askubuntudupquestions-reranking config: default split: test revision: 2000358ca161889fa9c082cb41daa8dcfb161a54 metrics: - type: map value: 64.0741897266483 - type: mrr value: 76.11440882909028 - type: map value: 64.0741897266483 - type: mrr value: 76.11440882909028 - task: type: STS dataset: name: MTEB BIOSSES type: mteb/biosses-sts config: default split: test revision: d3fb88f8f02e40887cd149695127462bbcf29b4a metrics: - type: cos_sim_pearson value: 86.2557839280406 - type: cos_sim_spearman value: 82.58200216886888 - type: euclidean_pearson value: 84.80588838508498 - type: euclidean_spearman value: 82.58200216886888 - type: manhattan_pearson value: 84.53082035185592 - type: manhattan_spearman value: 82.4964580510134 - type: cos_sim_pearson value: 86.2557839280406 - type: cos_sim_spearman value: 82.58200216886888 - type: euclidean_pearson value: 84.80588838508498 - type: euclidean_spearman value: 82.58200216886888 - type: manhattan_pearson value: 84.53082035185592 - type: manhattan_spearman value: 82.4964580510134 - task: type: STS dataset: name: MTEB BQ type: C-MTEB/BQ config: default split: test revision: e3dda5e115e487b39ec7e618c0c6a29137052a55 metrics: - type: cos_sim_pearson value: 65.53432474956654 - type: cos_sim_spearman value: 66.8014310403835 - type: euclidean_pearson value: 65.59442518434007 - type: euclidean_spearman value: 66.80144143248799 - type: manhattan_pearson value: 65.55990611112435 - type: manhattan_spearman value: 66.77720657746703 - type: cos_sim_pearson value: 65.53432474956654 - type: cos_sim_spearman value: 66.8014310403835 - type: euclidean_pearson value: 65.59442518434007 - type: euclidean_spearman value: 66.80144143248799 - type: manhattan_pearson value: 65.55990611112435 - type: manhattan_spearman value: 66.77720657746703 - task: type: Classification dataset: name: MTEB Banking77Classification type: mteb/banking77 config: default split: test revision: 0fd18e25b25c072e09e0d92ab615fda904d66300 metrics: - type: accuracy value: 84.76298701298703 - type: f1 value: 84.24881789367576 - type: accuracy value: 84.76298701298703 - type: f1 value: 84.24881789367576 - task: type: Clustering dataset: name: MTEB BiorxivClusteringP2P type: mteb/biorxiv-clustering-p2p config: default split: test revision: 65b79d1d13f80053f67aca9498d9402c2d9f1f40 metrics: - type: v_measure value: 46.86757924102047 - type: v_measure value: 46.86757924102047 - task: type: Clustering dataset: name: MTEB BiorxivClusteringS2S type: mteb/biorxiv-clustering-s2s config: default split: test revision: 258694dd0231531bc1fd9de6ceb52a0853c6d908 metrics: - type: v_measure value: 43.86043680479362 - type: v_measure value: 43.86043680479362 - task: type: Clustering dataset: name: MTEB CLSClusteringP2P type: C-MTEB/CLSClusteringP2P config: default split: test revision: 4b6227591c6c1a73bc76b1055f3b7f3588e72476 metrics: - type: v_measure value: 45.684222588040605 - type: v_measure value: 45.684222588040605 - task: type: Clustering dataset: name: MTEB CLSClusteringS2S type: C-MTEB/CLSClusteringS2S config: default split: test revision: e458b3f5414b62b7f9f83499ac1f5497ae2e869f metrics: - type: v_measure value: 45.45639765303432 - type: v_measure value: 45.45639765303432 - task: type: Reranking dataset: name: MTEB CMedQAv1 type: C-MTEB/CMedQAv1-reranking config: default split: test revision: 8d7f1e942507dac42dc58017c1a001c3717da7df metrics: - type: map value: 88.7058672660788 - type: mrr value: 90.5795634920635 - type: map value: 88.7058672660788 - type: mrr value: 90.5795634920635 - task: type: Reranking dataset: name: MTEB CMedQAv2 type: C-MTEB/CMedQAv2-reranking config: default split: test revision: 23d186750531a14a0357ca22cd92d712fd512ea0 metrics: - type: map value: 90.50750030424048 - type: mrr value: 92.3970634920635 - type: map value: 90.50750030424048 - type: mrr value: 92.3970634920635 - task: type: Retrieval dataset: name: MTEB CQADupstackAndroidRetrieval type: BeIR/cqadupstack config: default split: test revision: f46a197baaae43b4f621051089b82a364682dfeb metrics: - type: map_at_1 value: 28.848000000000003 - type: map_at_10 value: 40.453 - type: map_at_100 value: 42.065000000000005 - type: map_at_1000 value: 42.176 - type: map_at_3 value: 36.697 - type: map_at_5 value: 38.855000000000004 - type: mrr_at_1 value: 34.764 - type: mrr_at_10 value: 45.662000000000006 - type: mrr_at_100 value: 46.56 - type: mrr_at_1000 value: 46.597 - type: mrr_at_3 value: 42.632 - type: mrr_at_5 value: 44.249 - type: ndcg_at_1 value: 34.764 - type: ndcg_at_10 value: 47.033 - type: ndcg_at_100 value: 53.089 - type: ndcg_at_1000 value: 54.818 - type: ndcg_at_3 value: 41.142 - type: ndcg_at_5 value: 43.928 - type: precision_at_1 value: 34.764 - type: precision_at_10 value: 9.027000000000001 - type: precision_at_100 value: 1.465 - type: precision_at_1000 value: 0.192 - type: precision_at_3 value: 19.695 - type: precision_at_5 value: 14.535 - type: recall_at_1 value: 28.848000000000003 - type: recall_at_10 value: 60.849 - type: recall_at_100 value: 85.764 - type: recall_at_1000 value: 96.098 - type: recall_at_3 value: 44.579 - type: recall_at_5 value: 51.678999999999995 - type: map_at_1 value: 28.848000000000003 - type: map_at_10 value: 40.453 - type: map_at_100 value: 42.065000000000005 - type: map_at_1000 value: 42.176 - type: map_at_3 value: 36.697 - type: map_at_5 value: 38.855000000000004 - type: mrr_at_1 value: 34.764 - type: mrr_at_10 value: 45.662000000000006 - type: mrr_at_100 value: 46.56 - type: mrr_at_1000 value: 46.597 - type: mrr_at_3 value: 42.632 - type: mrr_at_5 value: 44.249 - type: ndcg_at_1 value: 34.764 - type: ndcg_at_10 value: 47.033 - type: ndcg_at_100 value: 53.089 - type: ndcg_at_1000 value: 54.818 - type: ndcg_at_3 value: 41.142 - type: ndcg_at_5 value: 43.928 - type: precision_at_1 value: 34.764 - type: precision_at_10 value: 9.027000000000001 - type: precision_at_100 value: 1.465 - type: precision_at_1000 value: 0.192 - type: precision_at_3 value: 19.695 - type: precision_at_5 value: 14.535 - type: recall_at_1 value: 28.848000000000003 - type: recall_at_10 value: 60.849 - type: recall_at_100 value: 85.764 - type: recall_at_1000 value: 96.098 - type: recall_at_3 value: 44.579 - type: recall_at_5 value: 51.678999999999995 - task: type: Retrieval dataset: name: MTEB CQADupstackEnglishRetrieval type: BeIR/cqadupstack config: default split: test revision: ad9991cb51e31e31e430383c75ffb2885547b5f0 metrics: - type: map_at_1 value: 30.731 - type: map_at_10 value: 41.859 - type: map_at_100 value: 43.13 - type: map_at_1000 value: 43.257 - type: map_at_3 value: 38.384 - type: map_at_5 value: 40.284 - type: mrr_at_1 value: 38.471 - type: mrr_at_10 value: 47.531 - type: mrr_at_100 value: 48.199 - type: mrr_at_1000 value: 48.24 - type: mrr_at_3 value: 44.989000000000004 - type: mrr_at_5 value: 46.403 - type: ndcg_at_1 value: 38.471 - type: ndcg_at_10 value: 48.022999999999996 - type: ndcg_at_100 value: 52.32599999999999 - type: ndcg_at_1000 value: 54.26 - type: ndcg_at_3 value: 42.986999999999995 - type: ndcg_at_5 value: 45.23 - type: precision_at_1 value: 38.471 - type: precision_at_10 value: 9.248000000000001 - type: precision_at_100 value: 1.469 - type: precision_at_1000 value: 0.193 - type: precision_at_3 value: 20.892 - type: precision_at_5 value: 14.892 - type: recall_at_1 value: 30.731 - type: recall_at_10 value: 59.561 - type: recall_at_100 value: 77.637 - type: recall_at_1000 value: 89.64999999999999 - type: recall_at_3 value: 44.897999999999996 - type: recall_at_5 value: 51.181 - type: map_at_1 value: 30.731 - type: map_at_10 value: 41.859 - type: map_at_100 value: 43.13 - type: map_at_1000 value: 43.257 - type: map_at_3 value: 38.384 - type: map_at_5 value: 40.284 - type: mrr_at_1 value: 38.471 - type: mrr_at_10 value: 47.531 - type: mrr_at_100 value: 48.199 - type: mrr_at_1000 value: 48.24 - type: mrr_at_3 value: 44.989000000000004 - type: mrr_at_5 value: 46.403 - type: ndcg_at_1 value: 38.471 - type: ndcg_at_10 value: 48.022999999999996 - type: ndcg_at_100 value: 52.32599999999999 - type: ndcg_at_1000 value: 54.26 - type: ndcg_at_3 value: 42.986999999999995 - type: ndcg_at_5 value: 45.23 - type: precision_at_1 value: 38.471 - type: precision_at_10 value: 9.248000000000001 - type: precision_at_100 value: 1.469 - type: precision_at_1000 value: 0.193 - type: precision_at_3 value: 20.892 - type: precision_at_5 value: 14.892 - type: recall_at_1 value: 30.731 - type: recall_at_10 value: 59.561 - type: recall_at_100 value: 77.637 - type: recall_at_1000 value: 89.64999999999999 - type: recall_at_3 value: 44.897999999999996 - type: recall_at_5 value: 51.181 - task: type: Retrieval dataset: name: MTEB CQADupstackGamingRetrieval type: BeIR/cqadupstack config: default split: test revision: 4885aa143210c98657558c04aaf3dc47cfb54340 metrics: - type: map_at_1 value: 34.949000000000005 - type: map_at_10 value: 48.117 - type: map_at_100 value: 49.355 - type: map_at_1000 value: 49.409 - type: map_at_3 value: 44.732 - type: map_at_5 value: 46.555 - type: mrr_at_1 value: 40.188 - type: mrr_at_10 value: 51.452 - type: mrr_at_100 value: 52.219 - type: mrr_at_1000 value: 52.24100000000001 - type: mrr_at_3 value: 48.642 - type: mrr_at_5 value: 50.134 - type: ndcg_at_1 value: 40.188 - type: ndcg_at_10 value: 54.664 - type: ndcg_at_100 value: 59.38099999999999 - type: ndcg_at_1000 value: 60.363 - type: ndcg_at_3 value: 48.684 - type: ndcg_at_5 value: 51.406 - type: precision_at_1 value: 40.188 - type: precision_at_10 value: 9.116 - type: precision_at_100 value: 1.248 - type: precision_at_1000 value: 0.13699999999999998 - type: precision_at_3 value: 22.236 - type: precision_at_5 value: 15.310000000000002 - type: recall_at_1 value: 34.949000000000005 - type: recall_at_10 value: 70.767 - type: recall_at_100 value: 90.79 - type: recall_at_1000 value: 97.57900000000001 - type: recall_at_3 value: 54.723 - type: recall_at_5 value: 61.404 - type: map_at_1 value: 34.949000000000005 - type: map_at_10 value: 48.117 - type: map_at_100 value: 49.355 - type: map_at_1000 value: 49.409 - type: map_at_3 value: 44.732 - type: map_at_5 value: 46.555 - type: mrr_at_1 value: 40.188 - type: mrr_at_10 value: 51.452 - type: mrr_at_100 value: 52.219 - type: mrr_at_1000 value: 52.24100000000001 - type: mrr_at_3 value: 48.642 - type: mrr_at_5 value: 50.134 - type: ndcg_at_1 value: 40.188 - type: ndcg_at_10 value: 54.664 - type: ndcg_at_100 value: 59.38099999999999 - type: ndcg_at_1000 value: 60.363 - type: ndcg_at_3 value: 48.684 - type: ndcg_at_5 value: 51.406 - type: precision_at_1 value: 40.188 - type: precision_at_10 value: 9.116 - type: precision_at_100 value: 1.248 - type: precision_at_1000 value: 0.13699999999999998 - type: precision_at_3 value: 22.236 - type: precision_at_5 value: 15.310000000000002 - type: recall_at_1 value: 34.949000000000005 - type: recall_at_10 value: 70.767 - type: recall_at_100 value: 90.79 - type: recall_at_1000 value: 97.57900000000001 - type: recall_at_3 value: 54.723 - type: recall_at_5 value: 61.404 - task: type: Retrieval dataset: name: MTEB CQADupstackGisRetrieval type: BeIR/cqadupstack config: default split: test revision: 5003b3064772da1887988e05400cf3806fe491f2 metrics: - type: map_at_1 value: 25.312 - type: map_at_10 value: 34.799 - type: map_at_100 value: 35.906 - type: map_at_1000 value: 35.983 - type: map_at_3 value: 31.582 - type: map_at_5 value: 33.507999999999996 - type: mrr_at_1 value: 27.232 - type: mrr_at_10 value: 36.82 - type: mrr_at_100 value: 37.733 - type: mrr_at_1000 value: 37.791000000000004 - type: mrr_at_3 value: 33.804 - type: mrr_at_5 value: 35.606 - type: ndcg_at_1 value: 27.232 - type: ndcg_at_10 value: 40.524 - type: ndcg_at_100 value: 45.654 - type: ndcg_at_1000 value: 47.557 - type: ndcg_at_3 value: 34.312 - type: ndcg_at_5 value: 37.553 - type: precision_at_1 value: 27.232 - type: precision_at_10 value: 6.52 - type: precision_at_100 value: 0.9530000000000001 - type: precision_at_1000 value: 0.11399999999999999 - type: precision_at_3 value: 14.915000000000001 - type: precision_at_5 value: 10.847 - type: recall_at_1 value: 25.312 - type: recall_at_10 value: 56.169000000000004 - type: recall_at_100 value: 79.16499999999999 - type: recall_at_1000 value: 93.49300000000001 - type: recall_at_3 value: 39.5 - type: recall_at_5 value: 47.288999999999994 - type: map_at_1 value: 25.312 - type: map_at_10 value: 34.799 - type: map_at_100 value: 35.906 - type: map_at_1000 value: 35.983 - type: map_at_3 value: 31.582 - type: map_at_5 value: 33.507999999999996 - type: mrr_at_1 value: 27.232 - type: mrr_at_10 value: 36.82 - type: mrr_at_100 value: 37.733 - type: mrr_at_1000 value: 37.791000000000004 - type: mrr_at_3 value: 33.804 - type: mrr_at_5 value: 35.606 - type: ndcg_at_1 value: 27.232 - type: ndcg_at_10 value: 40.524 - type: ndcg_at_100 value: 45.654 - type: ndcg_at_1000 value: 47.557 - type: ndcg_at_3 value: 34.312 - type: ndcg_at_5 value: 37.553 - type: precision_at_1 value: 27.232 - type: precision_at_10 value: 6.52 - type: precision_at_100 value: 0.9530000000000001 - type: precision_at_1000 value: 0.11399999999999999 - type: precision_at_3 value: 14.915000000000001 - type: precision_at_5 value: 10.847 - type: recall_at_1 value: 25.312 - type: recall_at_10 value: 56.169000000000004 - type: recall_at_100 value: 79.16499999999999 - type: recall_at_1000 value: 93.49300000000001 - type: recall_at_3 value: 39.5 - type: recall_at_5 value: 47.288999999999994 - task: type: Retrieval dataset: name: MTEB CQADupstackMathematicaRetrieval type: BeIR/cqadupstack config: default split: test revision: 90fceea13679c63fe563ded68f3b6f06e50061de metrics: - type: map_at_1 value: 17.153 - type: map_at_10 value: 27.671 - type: map_at_100 value: 29.186 - type: map_at_1000 value: 29.299999999999997 - type: map_at_3 value: 24.490000000000002 - type: map_at_5 value: 26.178 - type: mrr_at_1 value: 21.144 - type: mrr_at_10 value: 32.177 - type: mrr_at_100 value: 33.247 - type: mrr_at_1000 value: 33.306000000000004 - type: mrr_at_3 value: 29.187 - type: mrr_at_5 value: 30.817 - type: ndcg_at_1 value: 21.144 - type: ndcg_at_10 value: 33.981 - type: ndcg_at_100 value: 40.549 - type: ndcg_at_1000 value: 43.03 - type: ndcg_at_3 value: 28.132 - type: ndcg_at_5 value: 30.721999999999998 - type: precision_at_1 value: 21.144 - type: precision_at_10 value: 6.666999999999999 - type: precision_at_100 value: 1.147 - type: precision_at_1000 value: 0.149 - type: precision_at_3 value: 14.302999999999999 - type: precision_at_5 value: 10.423 - type: recall_at_1 value: 17.153 - type: recall_at_10 value: 48.591 - type: recall_at_100 value: 76.413 - type: recall_at_1000 value: 93.8 - type: recall_at_3 value: 32.329 - type: recall_at_5 value: 38.958999999999996 - type: map_at_1 value: 17.153 - type: map_at_10 value: 27.671 - type: map_at_100 value: 29.186 - type: map_at_1000 value: 29.299999999999997 - type: map_at_3 value: 24.490000000000002 - type: map_at_5 value: 26.178 - type: mrr_at_1 value: 21.144 - type: mrr_at_10 value: 32.177 - type: mrr_at_100 value: 33.247 - type: mrr_at_1000 value: 33.306000000000004 - type: mrr_at_3 value: 29.187 - type: mrr_at_5 value: 30.817 - type: ndcg_at_1 value: 21.144 - type: ndcg_at_10 value: 33.981 - type: ndcg_at_100 value: 40.549 - type: ndcg_at_1000 value: 43.03 - type: ndcg_at_3 value: 28.132 - type: ndcg_at_5 value: 30.721999999999998 - type: precision_at_1 value: 21.144 - type: precision_at_10 value: 6.666999999999999 - type: precision_at_100 value: 1.147 - type: precision_at_1000 value: 0.149 - type: precision_at_3 value: 14.302999999999999 - type: precision_at_5 value: 10.423 - type: recall_at_1 value: 17.153 - type: recall_at_10 value: 48.591 - type: recall_at_100 value: 76.413 - type: recall_at_1000 value: 93.8 - type: recall_at_3 value: 32.329 - type: recall_at_5 value: 38.958999999999996 - task: type: Retrieval dataset: name: MTEB CQADupstackPhysicsRetrieval type: BeIR/cqadupstack config: default split: test revision: 79531abbd1fb92d06c6d6315a0cbbbf5bb247ea4 metrics: - type: map_at_1 value: 27.909 - type: map_at_10 value: 40.168 - type: map_at_100 value: 41.524 - type: map_at_1000 value: 41.626000000000005 - type: map_at_3 value: 36.274 - type: map_at_5 value: 38.411 - type: mrr_at_1 value: 34.649 - type: mrr_at_10 value: 45.613 - type: mrr_at_100 value: 46.408 - type: mrr_at_1000 value: 46.444 - type: mrr_at_3 value: 42.620999999999995 - type: mrr_at_5 value: 44.277 - type: ndcg_at_1 value: 34.649 - type: ndcg_at_10 value: 47.071000000000005 - type: ndcg_at_100 value: 52.559999999999995 - type: ndcg_at_1000 value: 54.285000000000004 - type: ndcg_at_3 value: 40.63 - type: ndcg_at_5 value: 43.584 - type: precision_at_1 value: 34.649 - type: precision_at_10 value: 8.855 - type: precision_at_100 value: 1.361 - type: precision_at_1000 value: 0.167 - type: precision_at_3 value: 19.538 - type: precision_at_5 value: 14.187 - type: recall_at_1 value: 27.909 - type: recall_at_10 value: 62.275000000000006 - type: recall_at_100 value: 84.95 - type: recall_at_1000 value: 96.02000000000001 - type: recall_at_3 value: 44.767 - type: recall_at_5 value: 52.03 - type: map_at_1 value: 27.909 - type: map_at_10 value: 40.168 - type: map_at_100 value: 41.524 - type: map_at_1000 value: 41.626000000000005 - type: map_at_3 value: 36.274 - type: map_at_5 value: 38.411 - type: mrr_at_1 value: 34.649 - type: mrr_at_10 value: 45.613 - type: mrr_at_100 value: 46.408 - type: mrr_at_1000 value: 46.444 - type: mrr_at_3 value: 42.620999999999995 - type: mrr_at_5 value: 44.277 - type: ndcg_at_1 value: 34.649 - type: ndcg_at_10 value: 47.071000000000005 - type: ndcg_at_100 value: 52.559999999999995 - type: ndcg_at_1000 value: 54.285000000000004 - type: ndcg_at_3 value: 40.63 - type: ndcg_at_5 value: 43.584 - type: precision_at_1 value: 34.649 - type: precision_at_10 value: 8.855 - type: precision_at_100 value: 1.361 - type: precision_at_1000 value: 0.167 - type: precision_at_3 value: 19.538 - type: precision_at_5 value: 14.187 - type: recall_at_1 value: 27.909 - type: recall_at_10 value: 62.275000000000006 - type: recall_at_100 value: 84.95 - type: recall_at_1000 value: 96.02000000000001 - type: recall_at_3 value: 44.767 - type: recall_at_5 value: 52.03 - task: type: Retrieval dataset: name: MTEB CQADupstackProgrammersRetrieval type: BeIR/cqadupstack config: default split: test revision: 6184bc1440d2dbc7612be22b50686b8826d22b32 metrics: - type: map_at_1 value: 25.846000000000004 - type: map_at_10 value: 36.870999999999995 - type: map_at_100 value: 38.294 - type: map_at_1000 value: 38.401 - type: map_at_3 value: 33.163 - type: map_at_5 value: 35.177 - type: mrr_at_1 value: 31.849 - type: mrr_at_10 value: 41.681000000000004 - type: mrr_at_100 value: 42.658 - type: mrr_at_1000 value: 42.71 - type: mrr_at_3 value: 39.003 - type: mrr_at_5 value: 40.436 - type: ndcg_at_1 value: 31.849 - type: ndcg_at_10 value: 43.291000000000004 - type: ndcg_at_100 value: 49.136 - type: ndcg_at_1000 value: 51.168 - type: ndcg_at_3 value: 37.297999999999995 - type: ndcg_at_5 value: 39.934 - type: precision_at_1 value: 31.849 - type: precision_at_10 value: 8.219 - type: precision_at_100 value: 1.318 - type: precision_at_1000 value: 0.167 - type: precision_at_3 value: 18.151 - type: precision_at_5 value: 13.242 - type: recall_at_1 value: 25.846000000000004 - type: recall_at_10 value: 57.642 - type: recall_at_100 value: 82.069 - type: recall_at_1000 value: 95.684 - type: recall_at_3 value: 40.778999999999996 - type: recall_at_5 value: 47.647 - type: map_at_1 value: 25.846000000000004 - type: map_at_10 value: 36.870999999999995 - type: map_at_100 value: 38.294 - type: map_at_1000 value: 38.401 - type: map_at_3 value: 33.163 - type: map_at_5 value: 35.177 - type: mrr_at_1 value: 31.849 - type: mrr_at_10 value: 41.681000000000004 - type: mrr_at_100 value: 42.658 - type: mrr_at_1000 value: 42.71 - type: mrr_at_3 value: 39.003 - type: mrr_at_5 value: 40.436 - type: ndcg_at_1 value: 31.849 - type: ndcg_at_10 value: 43.291000000000004 - type: ndcg_at_100 value: 49.136 - type: ndcg_at_1000 value: 51.168 - type: ndcg_at_3 value: 37.297999999999995 - type: ndcg_at_5 value: 39.934 - type: precision_at_1 value: 31.849 - type: precision_at_10 value: 8.219 - type: precision_at_100 value: 1.318 - type: precision_at_1000 value: 0.167 - type: precision_at_3 value: 18.151 - type: precision_at_5 value: 13.242 - type: recall_at_1 value: 25.846000000000004 - type: recall_at_10 value: 57.642 - type: recall_at_100 value: 82.069 - type: recall_at_1000 value: 95.684 - type: recall_at_3 value: 40.778999999999996 - type: recall_at_5 value: 47.647 - task: type: Retrieval dataset: name: MTEB CQADupstackStatsRetrieval type: BeIR/cqadupstack config: default split: test revision: 65ac3a16b8e91f9cee4c9828cc7c335575432a2a metrics: - type: map_at_1 value: 25.102000000000004 - type: map_at_10 value: 33.31 - type: map_at_100 value: 34.443 - type: map_at_1000 value: 34.547 - type: map_at_3 value: 30.932 - type: map_at_5 value: 32.126 - type: mrr_at_1 value: 28.221 - type: mrr_at_10 value: 36.519 - type: mrr_at_100 value: 37.425000000000004 - type: mrr_at_1000 value: 37.498 - type: mrr_at_3 value: 34.254 - type: mrr_at_5 value: 35.388999999999996 - type: ndcg_at_1 value: 28.221 - type: ndcg_at_10 value: 38.340999999999994 - type: ndcg_at_100 value: 43.572 - type: ndcg_at_1000 value: 45.979 - type: ndcg_at_3 value: 33.793 - type: ndcg_at_5 value: 35.681000000000004 - type: precision_at_1 value: 28.221 - type: precision_at_10 value: 6.135 - type: precision_at_100 value: 0.946 - type: precision_at_1000 value: 0.123 - type: precision_at_3 value: 14.519000000000002 - type: precision_at_5 value: 9.969 - type: recall_at_1 value: 25.102000000000004 - type: recall_at_10 value: 50.639 - type: recall_at_100 value: 74.075 - type: recall_at_1000 value: 91.393 - type: recall_at_3 value: 37.952000000000005 - type: recall_at_5 value: 42.71 - type: map_at_1 value: 25.102000000000004 - type: map_at_10 value: 33.31 - type: map_at_100 value: 34.443 - type: map_at_1000 value: 34.547 - type: map_at_3 value: 30.932 - type: map_at_5 value: 32.126 - type: mrr_at_1 value: 28.221 - type: mrr_at_10 value: 36.519 - type: mrr_at_100 value: 37.425000000000004 - type: mrr_at_1000 value: 37.498 - type: mrr_at_3 value: 34.254 - type: mrr_at_5 value: 35.388999999999996 - type: ndcg_at_1 value: 28.221 - type: ndcg_at_10 value: 38.340999999999994 - type: ndcg_at_100 value: 43.572 - type: ndcg_at_1000 value: 45.979 - type: ndcg_at_3 value: 33.793 - type: ndcg_at_5 value: 35.681000000000004 - type: precision_at_1 value: 28.221 - type: precision_at_10 value: 6.135 - type: precision_at_100 value: 0.946 - type: precision_at_1000 value: 0.123 - type: precision_at_3 value: 14.519000000000002 - type: precision_at_5 value: 9.969 - type: recall_at_1 value: 25.102000000000004 - type: recall_at_10 value: 50.639 - type: recall_at_100 value: 74.075 - type: recall_at_1000 value: 91.393 - type: recall_at_3 value: 37.952000000000005 - type: recall_at_5 value: 42.71 - task: type: Retrieval dataset: name: MTEB CQADupstackTexRetrieval type: BeIR/cqadupstack config: default split: test revision: 46989137a86843e03a6195de44b09deda022eec7 metrics: - type: map_at_1 value: 18.618000000000002 - type: map_at_10 value: 26.714 - type: map_at_100 value: 27.929 - type: map_at_1000 value: 28.057 - type: map_at_3 value: 24.134 - type: map_at_5 value: 25.575 - type: mrr_at_1 value: 22.573999999999998 - type: mrr_at_10 value: 30.786 - type: mrr_at_100 value: 31.746000000000002 - type: mrr_at_1000 value: 31.822 - type: mrr_at_3 value: 28.412 - type: mrr_at_5 value: 29.818 - type: ndcg_at_1 value: 22.573999999999998 - type: ndcg_at_10 value: 31.852000000000004 - type: ndcg_at_100 value: 37.477 - type: ndcg_at_1000 value: 40.331 - type: ndcg_at_3 value: 27.314 - type: ndcg_at_5 value: 29.485 - type: precision_at_1 value: 22.573999999999998 - type: precision_at_10 value: 5.86 - type: precision_at_100 value: 1.012 - type: precision_at_1000 value: 0.146 - type: precision_at_3 value: 13.099 - type: precision_at_5 value: 9.56 - type: recall_at_1 value: 18.618000000000002 - type: recall_at_10 value: 43.134 - type: recall_at_100 value: 68.294 - type: recall_at_1000 value: 88.283 - type: recall_at_3 value: 30.397999999999996 - type: recall_at_5 value: 35.998000000000005 - type: map_at_1 value: 18.618000000000002 - type: map_at_10 value: 26.714 - type: map_at_100 value: 27.929 - type: map_at_1000 value: 28.057 - type: map_at_3 value: 24.134 - type: map_at_5 value: 25.575 - type: mrr_at_1 value: 22.573999999999998 - type: mrr_at_10 value: 30.786 - type: mrr_at_100 value: 31.746000000000002 - type: mrr_at_1000 value: 31.822 - type: mrr_at_3 value: 28.412 - type: mrr_at_5 value: 29.818 - type: ndcg_at_1 value: 22.573999999999998 - type: ndcg_at_10 value: 31.852000000000004 - type: ndcg_at_100 value: 37.477 - type: ndcg_at_1000 value: 40.331 - type: ndcg_at_3 value: 27.314 - type: ndcg_at_5 value: 29.485 - type: precision_at_1 value: 22.573999999999998 - type: precision_at_10 value: 5.86 - type: precision_at_100 value: 1.012 - type: precision_at_1000 value: 0.146 - type: precision_at_3 value: 13.099 - type: precision_at_5 value: 9.56 - type: recall_at_1 value: 18.618000000000002 - type: recall_at_10 value: 43.134 - type: recall_at_100 value: 68.294 - type: recall_at_1000 value: 88.283 - type: recall_at_3 value: 30.397999999999996 - type: recall_at_5 value: 35.998000000000005 - task: type: Retrieval dataset: name: MTEB CQADupstackUnixRetrieval type: BeIR/cqadupstack config: default split: test revision: 6c6430d3a6d36f8d2a829195bc5dc94d7e063e53 metrics: - type: map_at_1 value: 27.76 - type: map_at_10 value: 37.569 - type: map_at_100 value: 38.784 - type: map_at_1000 value: 38.884 - type: map_at_3 value: 34.379 - type: map_at_5 value: 36.092999999999996 - type: mrr_at_1 value: 32.556000000000004 - type: mrr_at_10 value: 41.870000000000005 - type: mrr_at_100 value: 42.759 - type: mrr_at_1000 value: 42.806 - type: mrr_at_3 value: 39.086 - type: mrr_at_5 value: 40.574 - type: ndcg_at_1 value: 32.556000000000004 - type: ndcg_at_10 value: 43.382 - type: ndcg_at_100 value: 48.943 - type: ndcg_at_1000 value: 50.961999999999996 - type: ndcg_at_3 value: 37.758 - type: ndcg_at_5 value: 40.282000000000004 - type: precision_at_1 value: 32.556000000000004 - type: precision_at_10 value: 7.463 - type: precision_at_100 value: 1.1480000000000001 - type: precision_at_1000 value: 0.14300000000000002 - type: precision_at_3 value: 17.133000000000003 - type: precision_at_5 value: 12.164 - type: recall_at_1 value: 27.76 - type: recall_at_10 value: 56.71000000000001 - type: recall_at_100 value: 81.053 - type: recall_at_1000 value: 94.75 - type: recall_at_3 value: 41.387 - type: recall_at_5 value: 47.818 - type: map_at_1 value: 27.76 - type: map_at_10 value: 37.569 - type: map_at_100 value: 38.784 - type: map_at_1000 value: 38.884 - type: map_at_3 value: 34.379 - type: map_at_5 value: 36.092999999999996 - type: mrr_at_1 value: 32.556000000000004 - type: mrr_at_10 value: 41.870000000000005 - type: mrr_at_100 value: 42.759 - type: mrr_at_1000 value: 42.806 - type: mrr_at_3 value: 39.086 - type: mrr_at_5 value: 40.574 - type: ndcg_at_1 value: 32.556000000000004 - type: ndcg_at_10 value: 43.382 - type: ndcg_at_100 value: 48.943 - type: ndcg_at_1000 value: 50.961999999999996 - type: ndcg_at_3 value: 37.758 - type: ndcg_at_5 value: 40.282000000000004 - type: precision_at_1 value: 32.556000000000004 - type: precision_at_10 value: 7.463 - type: precision_at_100 value: 1.1480000000000001 - type: precision_at_1000 value: 0.14300000000000002 - type: precision_at_3 value: 17.133000000000003 - type: precision_at_5 value: 12.164 - type: recall_at_1 value: 27.76 - type: recall_at_10 value: 56.71000000000001 - type: recall_at_100 value: 81.053 - type: recall_at_1000 value: 94.75 - type: recall_at_3 value: 41.387 - type: recall_at_5 value: 47.818 - task: type: Retrieval dataset: name: MTEB CQADupstackWebmastersRetrieval type: BeIR/cqadupstack config: default split: test revision: 160c094312a0e1facb97e55eeddb698c0abe3571 metrics: - type: map_at_1 value: 23.62 - type: map_at_10 value: 33.522999999999996 - type: map_at_100 value: 35.281 - type: map_at_1000 value: 35.504000000000005 - type: map_at_3 value: 30.314999999999998 - type: map_at_5 value: 32.065 - type: mrr_at_1 value: 28.458 - type: mrr_at_10 value: 38.371 - type: mrr_at_100 value: 39.548 - type: mrr_at_1000 value: 39.601 - type: mrr_at_3 value: 35.638999999999996 - type: mrr_at_5 value: 37.319 - type: ndcg_at_1 value: 28.458 - type: ndcg_at_10 value: 39.715 - type: ndcg_at_100 value: 46.394999999999996 - type: ndcg_at_1000 value: 48.943999999999996 - type: ndcg_at_3 value: 34.361999999999995 - type: ndcg_at_5 value: 37.006 - type: precision_at_1 value: 28.458 - type: precision_at_10 value: 7.5889999999999995 - type: precision_at_100 value: 1.514 - type: precision_at_1000 value: 0.242 - type: precision_at_3 value: 16.073999999999998 - type: precision_at_5 value: 11.976 - type: recall_at_1 value: 23.62 - type: recall_at_10 value: 52.117000000000004 - type: recall_at_100 value: 81.097 - type: recall_at_1000 value: 96.47 - type: recall_at_3 value: 37.537 - type: recall_at_5 value: 44.112 - type: map_at_1 value: 23.62 - type: map_at_10 value: 33.522999999999996 - type: map_at_100 value: 35.281 - type: map_at_1000 value: 35.504000000000005 - type: map_at_3 value: 30.314999999999998 - type: map_at_5 value: 32.065 - type: mrr_at_1 value: 28.458 - type: mrr_at_10 value: 38.371 - type: mrr_at_100 value: 39.548 - type: mrr_at_1000 value: 39.601 - type: mrr_at_3 value: 35.638999999999996 - type: mrr_at_5 value: 37.319 - type: ndcg_at_1 value: 28.458 - type: ndcg_at_10 value: 39.715 - type: ndcg_at_100 value: 46.394999999999996 - type: ndcg_at_1000 value: 48.943999999999996 - type: ndcg_at_3 value: 34.361999999999995 - type: ndcg_at_5 value: 37.006 - type: precision_at_1 value: 28.458 - type: precision_at_10 value: 7.5889999999999995 - type: precision_at_100 value: 1.514 - type: precision_at_1000 value: 0.242 - type: precision_at_3 value: 16.073999999999998 - type: precision_at_5 value: 11.976 - type: recall_at_1 value: 23.62 - type: recall_at_10 value: 52.117000000000004 - type: recall_at_100 value: 81.097 - type: recall_at_1000 value: 96.47 - type: recall_at_3 value: 37.537 - type: recall_at_5 value: 44.112 - task: type: Retrieval dataset: name: MTEB CQADupstackWordpressRetrieval type: BeIR/cqadupstack config: default split: test revision: 4ffe81d471b1924886b33c7567bfb200e9eec5c4 metrics: - type: map_at_1 value: 18.336 - type: map_at_10 value: 26.811 - type: map_at_100 value: 27.892 - type: map_at_1000 value: 27.986 - type: map_at_3 value: 23.976 - type: map_at_5 value: 25.605 - type: mrr_at_1 value: 20.148 - type: mrr_at_10 value: 28.898000000000003 - type: mrr_at_100 value: 29.866 - type: mrr_at_1000 value: 29.929 - type: mrr_at_3 value: 26.247999999999998 - type: mrr_at_5 value: 27.744999999999997 - type: ndcg_at_1 value: 20.148 - type: ndcg_at_10 value: 32.059 - type: ndcg_at_100 value: 37.495 - type: ndcg_at_1000 value: 39.855000000000004 - type: ndcg_at_3 value: 26.423000000000002 - type: ndcg_at_5 value: 29.212 - type: precision_at_1 value: 20.148 - type: precision_at_10 value: 5.268 - type: precision_at_100 value: 0.872 - type: precision_at_1000 value: 0.11900000000000001 - type: precision_at_3 value: 11.459999999999999 - type: precision_at_5 value: 8.503 - type: recall_at_1 value: 18.336 - type: recall_at_10 value: 46.411 - type: recall_at_100 value: 71.33500000000001 - type: recall_at_1000 value: 88.895 - type: recall_at_3 value: 31.134 - type: recall_at_5 value: 37.862 - type: map_at_1 value: 18.336 - type: map_at_10 value: 26.811 - type: map_at_100 value: 27.892 - type: map_at_1000 value: 27.986 - type: map_at_3 value: 23.976 - type: map_at_5 value: 25.605 - type: mrr_at_1 value: 20.148 - type: mrr_at_10 value: 28.898000000000003 - type: mrr_at_100 value: 29.866 - type: mrr_at_1000 value: 29.929 - type: mrr_at_3 value: 26.247999999999998 - type: mrr_at_5 value: 27.744999999999997 - type: ndcg_at_1 value: 20.148 - type: ndcg_at_10 value: 32.059 - type: ndcg_at_100 value: 37.495 - type: ndcg_at_1000 value: 39.855000000000004 - type: ndcg_at_3 value: 26.423000000000002 - type: ndcg_at_5 value: 29.212 - type: precision_at_1 value: 20.148 - type: precision_at_10 value: 5.268 - type: precision_at_100 value: 0.872 - type: precision_at_1000 value: 0.11900000000000001 - type: precision_at_3 value: 11.459999999999999 - type: precision_at_5 value: 8.503 - type: recall_at_1 value: 18.336 - type: recall_at_10 value: 46.411 - type: recall_at_100 value: 71.33500000000001 - type: recall_at_1000 value: 88.895 - type: recall_at_3 value: 31.134 - type: recall_at_5 value: 37.862 - task: type: Retrieval dataset: name: MTEB ClimateFEVER type: mteb/climate-fever config: default split: test revision: 47f2ac6acb640fc46020b02a5b59fdda04d39380 metrics: - type: map_at_1 value: 21.149 - type: map_at_10 value: 35.251 - type: map_at_100 value: 37.342 - type: map_at_1000 value: 37.516 - type: map_at_3 value: 30.543 - type: map_at_5 value: 33.19 - type: mrr_at_1 value: 47.687000000000005 - type: mrr_at_10 value: 59.391000000000005 - type: mrr_at_100 value: 59.946999999999996 - type: mrr_at_1000 value: 59.965999999999994 - type: mrr_at_3 value: 56.938 - type: mrr_at_5 value: 58.498000000000005 - type: ndcg_at_1 value: 47.687000000000005 - type: ndcg_at_10 value: 45.381 - type: ndcg_at_100 value: 52.405 - type: ndcg_at_1000 value: 55.041 - type: ndcg_at_3 value: 40.024 - type: ndcg_at_5 value: 41.821999999999996 - type: precision_at_1 value: 47.687000000000005 - type: precision_at_10 value: 13.355 - type: precision_at_100 value: 2.113 - type: precision_at_1000 value: 0.261 - type: precision_at_3 value: 29.793999999999997 - type: precision_at_5 value: 21.811 - type: recall_at_1 value: 21.149 - type: recall_at_10 value: 49.937 - type: recall_at_100 value: 73.382 - type: recall_at_1000 value: 87.606 - type: recall_at_3 value: 35.704 - type: recall_at_5 value: 42.309000000000005 - type: map_at_1 value: 21.149 - type: map_at_10 value: 35.251 - type: map_at_100 value: 37.342 - type: map_at_1000 value: 37.516 - type: map_at_3 value: 30.543 - type: map_at_5 value: 33.19 - type: mrr_at_1 value: 47.687000000000005 - type: mrr_at_10 value: 59.391000000000005 - type: mrr_at_100 value: 59.946999999999996 - type: mrr_at_1000 value: 59.965999999999994 - type: mrr_at_3 value: 56.938 - type: mrr_at_5 value: 58.498000000000005 - type: ndcg_at_1 value: 47.687000000000005 - type: ndcg_at_10 value: 45.381 - type: ndcg_at_100 value: 52.405 - type: ndcg_at_1000 value: 55.041 - type: ndcg_at_3 value: 40.024 - type: ndcg_at_5 value: 41.821999999999996 - type: precision_at_1 value: 47.687000000000005 - type: precision_at_10 value: 13.355 - type: precision_at_100 value: 2.113 - type: precision_at_1000 value: 0.261 - type: precision_at_3 value: 29.793999999999997 - type: precision_at_5 value: 21.811 - type: recall_at_1 value: 21.149 - type: recall_at_10 value: 49.937 - type: recall_at_100 value: 73.382 - type: recall_at_1000 value: 87.606 - type: recall_at_3 value: 35.704 - type: recall_at_5 value: 42.309000000000005 - task: type: Retrieval dataset: name: MTEB CmedqaRetrieval type: C-MTEB/CmedqaRetrieval config: default split: dev revision: cd540c506dae1cf9e9a59c3e06f42030d54e7301 metrics: - type: map_at_1 value: 28.74 - type: map_at_10 value: 41.981 - type: map_at_100 value: 43.753 - type: map_at_1000 value: 43.858999999999995 - type: map_at_3 value: 37.634 - type: map_at_5 value: 40.158 - type: mrr_at_1 value: 43.086 - type: mrr_at_10 value: 51.249 - type: mrr_at_100 value: 52.154 - type: mrr_at_1000 value: 52.190999999999995 - type: mrr_at_3 value: 48.787000000000006 - type: mrr_at_5 value: 50.193 - type: ndcg_at_1 value: 43.086 - type: ndcg_at_10 value: 48.703 - type: ndcg_at_100 value: 55.531 - type: ndcg_at_1000 value: 57.267999999999994 - type: ndcg_at_3 value: 43.464000000000006 - type: ndcg_at_5 value: 45.719 - type: precision_at_1 value: 43.086 - type: precision_at_10 value: 10.568 - type: precision_at_100 value: 1.616 - type: precision_at_1000 value: 0.184 - type: precision_at_3 value: 24.256 - type: precision_at_5 value: 17.509 - type: recall_at_1 value: 28.74 - type: recall_at_10 value: 59.349 - type: recall_at_100 value: 87.466 - type: recall_at_1000 value: 98.914 - type: recall_at_3 value: 43.322 - type: recall_at_5 value: 50.409000000000006 - type: map_at_1 value: 28.74 - type: map_at_10 value: 41.981 - type: map_at_100 value: 43.753 - type: map_at_1000 value: 43.858999999999995 - type: map_at_3 value: 37.634 - type: map_at_5 value: 40.158 - type: mrr_at_1 value: 43.086 - type: mrr_at_10 value: 51.249 - type: mrr_at_100 value: 52.154 - type: mrr_at_1000 value: 52.190999999999995 - type: mrr_at_3 value: 48.787000000000006 - type: mrr_at_5 value: 50.193 - type: ndcg_at_1 value: 43.086 - type: ndcg_at_10 value: 48.703 - type: ndcg_at_100 value: 55.531 - type: ndcg_at_1000 value: 57.267999999999994 - type: ndcg_at_3 value: 43.464000000000006 - type: ndcg_at_5 value: 45.719 - type: precision_at_1 value: 43.086 - type: precision_at_10 value: 10.568 - type: precision_at_100 value: 1.616 - type: precision_at_1000 value: 0.184 - type: precision_at_3 value: 24.256 - type: precision_at_5 value: 17.509 - type: recall_at_1 value: 28.74 - type: recall_at_10 value: 59.349 - type: recall_at_100 value: 87.466 - type: recall_at_1000 value: 98.914 - type: recall_at_3 value: 43.322 - type: recall_at_5 value: 50.409000000000006 - task: type: PairClassification dataset: name: MTEB Cmnli type: C-MTEB/CMNLI config: default split: validation revision: 41bc36f332156f7adc9e38f53777c959b2ae9766 metrics: - type: cos_sim_accuracy value: 79.03788334335539 - type: cos_sim_ap value: 87.21703260472833 - type: cos_sim_f1 value: 79.87784187309127 - type: cos_sim_precision value: 77.36634531113059 - type: cos_sim_recall value: 82.55786766425064 - type: dot_accuracy value: 79.03788334335539 - type: dot_ap value: 87.22906528217948 - type: dot_f1 value: 79.87784187309127 - type: dot_precision value: 77.36634531113059 - type: dot_recall value: 82.55786766425064 - type: euclidean_accuracy value: 79.03788334335539 - type: euclidean_ap value: 87.21703670465753 - type: euclidean_f1 value: 79.87784187309127 - type: euclidean_precision value: 77.36634531113059 - type: euclidean_recall value: 82.55786766425064 - type: manhattan_accuracy value: 78.28021647624774 - type: manhattan_ap value: 86.66244127855394 - type: manhattan_f1 value: 79.24485643228577 - type: manhattan_precision value: 76.71262858393521 - type: manhattan_recall value: 81.94996492868833 - type: max_accuracy value: 79.03788334335539 - type: max_ap value: 87.22906528217948 - type: max_f1 value: 79.87784187309127 - type: cos_sim_accuracy value: 79.03788334335539 - type: cos_sim_ap value: 87.21703260472833 - type: cos_sim_f1 value: 79.87784187309127 - type: cos_sim_precision value: 77.36634531113059 - type: cos_sim_recall value: 82.55786766425064 - type: dot_accuracy value: 79.03788334335539 - type: dot_ap value: 87.22906528217948 - type: dot_f1 value: 79.87784187309127 - type: dot_precision value: 77.36634531113059 - type: dot_recall value: 82.55786766425064 - type: euclidean_accuracy value: 79.03788334335539 - type: euclidean_ap value: 87.21703670465753 - type: euclidean_f1 value: 79.87784187309127 - type: euclidean_precision value: 77.36634531113059 - type: euclidean_recall value: 82.55786766425064 - type: manhattan_accuracy value: 78.28021647624774 - type: manhattan_ap value: 86.66244127855394 - type: manhattan_f1 value: 79.24485643228577 - type: manhattan_precision value: 76.71262858393521 - type: manhattan_recall value: 81.94996492868833 - type: max_accuracy value: 79.03788334335539 - type: max_ap value: 87.22906528217948 - type: max_f1 value: 79.87784187309127 - task: type: Retrieval dataset: name: MTEB CovidRetrieval type: C-MTEB/CovidRetrieval config: default split: dev revision: 1271c7809071a13532e05f25fb53511ffce77117 metrics: - type: map_at_1 value: 67.597 - type: map_at_10 value: 75.81599999999999 - type: map_at_100 value: 76.226 - type: map_at_1000 value: 76.23100000000001 - type: map_at_3 value: 73.907 - type: map_at_5 value: 75.08200000000001 - type: mrr_at_1 value: 67.756 - type: mrr_at_10 value: 75.8 - type: mrr_at_100 value: 76.205 - type: mrr_at_1000 value: 76.21 - type: mrr_at_3 value: 73.955 - type: mrr_at_5 value: 75.093 - type: ndcg_at_1 value: 67.756 - type: ndcg_at_10 value: 79.598 - type: ndcg_at_100 value: 81.34400000000001 - type: ndcg_at_1000 value: 81.477 - type: ndcg_at_3 value: 75.876 - type: ndcg_at_5 value: 77.94200000000001 - type: precision_at_1 value: 67.756 - type: precision_at_10 value: 9.231 - type: precision_at_100 value: 1.0 - type: precision_at_1000 value: 0.101 - type: precision_at_3 value: 27.362 - type: precision_at_5 value: 17.45 - type: recall_at_1 value: 67.597 - type: recall_at_10 value: 91.307 - type: recall_at_100 value: 98.946 - type: recall_at_1000 value: 100.0 - type: recall_at_3 value: 81.428 - type: recall_at_5 value: 86.407 - type: map_at_1 value: 67.597 - type: map_at_10 value: 75.81599999999999 - type: map_at_100 value: 76.226 - type: map_at_1000 value: 76.23100000000001 - type: map_at_3 value: 73.907 - type: map_at_5 value: 75.08200000000001 - type: mrr_at_1 value: 67.756 - type: mrr_at_10 value: 75.8 - type: mrr_at_100 value: 76.205 - type: mrr_at_1000 value: 76.21 - type: mrr_at_3 value: 73.955 - type: mrr_at_5 value: 75.093 - type: ndcg_at_1 value: 67.756 - type: ndcg_at_10 value: 79.598 - type: ndcg_at_100 value: 81.34400000000001 - type: ndcg_at_1000 value: 81.477 - type: ndcg_at_3 value: 75.876 - type: ndcg_at_5 value: 77.94200000000001 - type: precision_at_1 value: 67.756 - type: precision_at_10 value: 9.231 - type: precision_at_100 value: 1.0 - type: precision_at_1000 value: 0.101 - type: precision_at_3 value: 27.362 - type: precision_at_5 value: 17.45 - type: recall_at_1 value: 67.597 - type: recall_at_10 value: 91.307 - type: recall_at_100 value: 98.946 - type: recall_at_1000 value: 100.0 - type: recall_at_3 value: 81.428 - type: recall_at_5 value: 86.407 - task: type: Retrieval dataset: name: MTEB DBPedia type: mteb/dbpedia config: default split: test revision: c0f706b76e590d620bd6618b3ca8efdd34e2d659 metrics: - type: map_at_1 value: 9.33 - type: map_at_10 value: 23.118 - type: map_at_100 value: 34.28 - type: map_at_1000 value: 36.574 - type: map_at_3 value: 15.576 - type: map_at_5 value: 18.778 - type: mrr_at_1 value: 75.25 - type: mrr_at_10 value: 81.958 - type: mrr_at_100 value: 82.282 - type: mrr_at_1000 value: 82.285 - type: mrr_at_3 value: 81.042 - type: mrr_at_5 value: 81.62899999999999 - type: ndcg_at_1 value: 63.625 - type: ndcg_at_10 value: 50.781 - type: ndcg_at_100 value: 55.537000000000006 - type: ndcg_at_1000 value: 62.651 - type: ndcg_at_3 value: 55.297 - type: ndcg_at_5 value: 53.103 - type: precision_at_1 value: 75.25 - type: precision_at_10 value: 41.475 - type: precision_at_100 value: 13.5 - type: precision_at_1000 value: 2.686 - type: precision_at_3 value: 59.333000000000006 - type: precision_at_5 value: 51.9 - type: recall_at_1 value: 9.33 - type: recall_at_10 value: 29.398000000000003 - type: recall_at_100 value: 61.951 - type: recall_at_1000 value: 85.463 - type: recall_at_3 value: 17.267 - type: recall_at_5 value: 21.89 - type: map_at_1 value: 9.33 - type: map_at_10 value: 23.118 - type: map_at_100 value: 34.28 - type: map_at_1000 value: 36.574 - type: map_at_3 value: 15.576 - type: map_at_5 value: 18.778 - type: mrr_at_1 value: 75.25 - type: mrr_at_10 value: 81.958 - type: mrr_at_100 value: 82.282 - type: mrr_at_1000 value: 82.285 - type: mrr_at_3 value: 81.042 - type: mrr_at_5 value: 81.62899999999999 - type: ndcg_at_1 value: 63.625 - type: ndcg_at_10 value: 50.781 - type: ndcg_at_100 value: 55.537000000000006 - type: ndcg_at_1000 value: 62.651 - type: ndcg_at_3 value: 55.297 - type: ndcg_at_5 value: 53.103 - type: precision_at_1 value: 75.25 - type: precision_at_10 value: 41.475 - type: precision_at_100 value: 13.5 - type: precision_at_1000 value: 2.686 - type: precision_at_3 value: 59.333000000000006 - type: precision_at_5 value: 51.9 - type: recall_at_1 value: 9.33 - type: recall_at_10 value: 29.398000000000003 - type: recall_at_100 value: 61.951 - type: recall_at_1000 value: 85.463 - type: recall_at_3 value: 17.267 - type: recall_at_5 value: 21.89 - task: type: Retrieval dataset: name: MTEB DuRetrieval type: C-MTEB/DuRetrieval config: default split: dev revision: a1a333e290fe30b10f3f56498e3a0d911a693ced metrics: - type: map_at_1 value: 25.608999999999998 - type: map_at_10 value: 78.649 - type: map_at_100 value: 81.67699999999999 - type: map_at_1000 value: 81.71000000000001 - type: map_at_3 value: 54.112 - type: map_at_5 value: 68.34700000000001 - type: mrr_at_1 value: 87.75 - type: mrr_at_10 value: 92.175 - type: mrr_at_100 value: 92.225 - type: mrr_at_1000 value: 92.227 - type: mrr_at_3 value: 91.833 - type: mrr_at_5 value: 92.06800000000001 - type: ndcg_at_1 value: 87.75 - type: ndcg_at_10 value: 86.56700000000001 - type: ndcg_at_100 value: 89.519 - type: ndcg_at_1000 value: 89.822 - type: ndcg_at_3 value: 84.414 - type: ndcg_at_5 value: 83.721 - type: precision_at_1 value: 87.75 - type: precision_at_10 value: 41.665 - type: precision_at_100 value: 4.827 - type: precision_at_1000 value: 0.49 - type: precision_at_3 value: 75.533 - type: precision_at_5 value: 64.01 - type: recall_at_1 value: 25.608999999999998 - type: recall_at_10 value: 88.708 - type: recall_at_100 value: 98.007 - type: recall_at_1000 value: 99.555 - type: recall_at_3 value: 57.157000000000004 - type: recall_at_5 value: 74.118 - type: map_at_1 value: 25.608999999999998 - type: map_at_10 value: 78.649 - type: map_at_100 value: 81.67699999999999 - type: map_at_1000 value: 81.71000000000001 - type: map_at_3 value: 54.112 - type: map_at_5 value: 68.34700000000001 - type: mrr_at_1 value: 87.75 - type: mrr_at_10 value: 92.175 - type: mrr_at_100 value: 92.225 - type: mrr_at_1000 value: 92.227 - type: mrr_at_3 value: 91.833 - type: mrr_at_5 value: 92.06800000000001 - type: ndcg_at_1 value: 87.75 - type: ndcg_at_10 value: 86.56700000000001 - type: ndcg_at_100 value: 89.519 - type: ndcg_at_1000 value: 89.822 - type: ndcg_at_3 value: 84.414 - type: ndcg_at_5 value: 83.721 - type: precision_at_1 value: 87.75 - type: precision_at_10 value: 41.665 - type: precision_at_100 value: 4.827 - type: precision_at_1000 value: 0.49 - type: precision_at_3 value: 75.533 - type: precision_at_5 value: 64.01 - type: recall_at_1 value: 25.608999999999998 - type: recall_at_10 value: 88.708 - type: recall_at_100 value: 98.007 - type: recall_at_1000 value: 99.555 - type: recall_at_3 value: 57.157000000000004 - type: recall_at_5 value: 74.118 - task: type: Retrieval dataset: name: MTEB EcomRetrieval type: C-MTEB/EcomRetrieval config: default split: dev revision: 687de13dc7294d6fd9be10c6945f9e8fec8166b9 metrics: - type: map_at_1 value: 55.800000000000004 - type: map_at_10 value: 65.952 - type: map_at_100 value: 66.413 - type: map_at_1000 value: 66.426 - type: map_at_3 value: 63.3 - type: map_at_5 value: 64.945 - type: mrr_at_1 value: 55.800000000000004 - type: mrr_at_10 value: 65.952 - type: mrr_at_100 value: 66.413 - type: mrr_at_1000 value: 66.426 - type: mrr_at_3 value: 63.3 - type: mrr_at_5 value: 64.945 - type: ndcg_at_1 value: 55.800000000000004 - type: ndcg_at_10 value: 71.00800000000001 - type: ndcg_at_100 value: 72.974 - type: ndcg_at_1000 value: 73.302 - type: ndcg_at_3 value: 65.669 - type: ndcg_at_5 value: 68.634 - type: precision_at_1 value: 55.800000000000004 - type: precision_at_10 value: 8.690000000000001 - type: precision_at_100 value: 0.955 - type: precision_at_1000 value: 0.098 - type: precision_at_3 value: 24.166999999999998 - type: precision_at_5 value: 15.939999999999998 - type: recall_at_1 value: 55.800000000000004 - type: recall_at_10 value: 86.9 - type: recall_at_100 value: 95.5 - type: recall_at_1000 value: 98.0 - type: recall_at_3 value: 72.5 - type: recall_at_5 value: 79.7 - type: map_at_1 value: 55.800000000000004 - type: map_at_10 value: 65.952 - type: map_at_100 value: 66.413 - type: map_at_1000 value: 66.426 - type: map_at_3 value: 63.3 - type: map_at_5 value: 64.945 - type: mrr_at_1 value: 55.800000000000004 - type: mrr_at_10 value: 65.952 - type: mrr_at_100 value: 66.413 - type: mrr_at_1000 value: 66.426 - type: mrr_at_3 value: 63.3 - type: mrr_at_5 value: 64.945 - type: ndcg_at_1 value: 55.800000000000004 - type: ndcg_at_10 value: 71.00800000000001 - type: ndcg_at_100 value: 72.974 - type: ndcg_at_1000 value: 73.302 - type: ndcg_at_3 value: 65.669 - type: ndcg_at_5 value: 68.634 - type: precision_at_1 value: 55.800000000000004 - type: precision_at_10 value: 8.690000000000001 - type: precision_at_100 value: 0.955 - type: precision_at_1000 value: 0.098 - type: precision_at_3 value: 24.166999999999998 - type: precision_at_5 value: 15.939999999999998 - type: recall_at_1 value: 55.800000000000004 - type: recall_at_10 value: 86.9 - type: recall_at_100 value: 95.5 - type: recall_at_1000 value: 98.0 - type: recall_at_3 value: 72.5 - type: recall_at_5 value: 79.7 - task: type: Classification dataset: name: MTEB EmotionClassification type: mteb/emotion config: default split: test revision: 4f58c6b202a23cf9a4da393831edf4f9183cad37 metrics: - type: accuracy value: 67.39500000000001 - type: f1 value: 62.01837785021389 - type: accuracy value: 67.39500000000001 - type: f1 value: 62.01837785021389 - task: type: Retrieval dataset: name: MTEB FEVER type: mteb/fever config: default split: test revision: bea83ef9e8fb933d90a2f1d5515737465d613e12 metrics: - type: map_at_1 value: 86.27 - type: map_at_10 value: 92.163 - type: map_at_100 value: 92.351 - type: map_at_1000 value: 92.36 - type: map_at_3 value: 91.36 - type: map_at_5 value: 91.888 - type: mrr_at_1 value: 92.72399999999999 - type: mrr_at_10 value: 95.789 - type: mrr_at_100 value: 95.80300000000001 - type: mrr_at_1000 value: 95.804 - type: mrr_at_3 value: 95.64200000000001 - type: mrr_at_5 value: 95.75 - type: ndcg_at_1 value: 92.72399999999999 - type: ndcg_at_10 value: 94.269 - type: ndcg_at_100 value: 94.794 - type: ndcg_at_1000 value: 94.94 - type: ndcg_at_3 value: 93.427 - type: ndcg_at_5 value: 93.914 - type: precision_at_1 value: 92.72399999999999 - type: precision_at_10 value: 11.007 - type: precision_at_100 value: 1.153 - type: precision_at_1000 value: 0.11800000000000001 - type: precision_at_3 value: 34.993 - type: precision_at_5 value: 21.542 - type: recall_at_1 value: 86.27 - type: recall_at_10 value: 97.031 - type: recall_at_100 value: 98.839 - type: recall_at_1000 value: 99.682 - type: recall_at_3 value: 94.741 - type: recall_at_5 value: 96.03 - type: map_at_1 value: 86.27 - type: map_at_10 value: 92.163 - type: map_at_100 value: 92.351 - type: map_at_1000 value: 92.36 - type: map_at_3 value: 91.36 - type: map_at_5 value: 91.888 - type: mrr_at_1 value: 92.72399999999999 - type: mrr_at_10 value: 95.789 - type: mrr_at_100 value: 95.80300000000001 - type: mrr_at_1000 value: 95.804 - type: mrr_at_3 value: 95.64200000000001 - type: mrr_at_5 value: 95.75 - type: ndcg_at_1 value: 92.72399999999999 - type: ndcg_at_10 value: 94.269 - type: ndcg_at_100 value: 94.794 - type: ndcg_at_1000 value: 94.94 - type: ndcg_at_3 value: 93.427 - type: ndcg_at_5 value: 93.914 - type: precision_at_1 value: 92.72399999999999 - type: precision_at_10 value: 11.007 - type: precision_at_100 value: 1.153 - type: precision_at_1000 value: 0.11800000000000001 - type: precision_at_3 value: 34.993 - type: precision_at_5 value: 21.542 - type: recall_at_1 value: 86.27 - type: recall_at_10 value: 97.031 - type: recall_at_100 value: 98.839 - type: recall_at_1000 value: 99.682 - type: recall_at_3 value: 94.741 - type: recall_at_5 value: 96.03 - task: type: Retrieval dataset: name: MTEB FiQA2018 type: mteb/fiqa config: default split: test revision: 27a168819829fe9bcd655c2df245fb19452e8e06 metrics: - type: map_at_1 value: 29.561999999999998 - type: map_at_10 value: 48.52 - type: map_at_100 value: 50.753 - type: map_at_1000 value: 50.878 - type: map_at_3 value: 42.406 - type: map_at_5 value: 45.994 - type: mrr_at_1 value: 54.784 - type: mrr_at_10 value: 64.51400000000001 - type: mrr_at_100 value: 65.031 - type: mrr_at_1000 value: 65.05199999999999 - type: mrr_at_3 value: 62.474 - type: mrr_at_5 value: 63.562 - type: ndcg_at_1 value: 54.784 - type: ndcg_at_10 value: 57.138 - type: ndcg_at_100 value: 63.666999999999994 - type: ndcg_at_1000 value: 65.379 - type: ndcg_at_3 value: 52.589 - type: ndcg_at_5 value: 54.32599999999999 - type: precision_at_1 value: 54.784 - type: precision_at_10 value: 15.693999999999999 - type: precision_at_100 value: 2.259 - type: precision_at_1000 value: 0.256 - type: precision_at_3 value: 34.774 - type: precision_at_5 value: 25.772000000000002 - type: recall_at_1 value: 29.561999999999998 - type: recall_at_10 value: 64.708 - type: recall_at_100 value: 87.958 - type: recall_at_1000 value: 97.882 - type: recall_at_3 value: 48.394 - type: recall_at_5 value: 56.101 - type: map_at_1 value: 29.561999999999998 - type: map_at_10 value: 48.52 - type: map_at_100 value: 50.753 - type: map_at_1000 value: 50.878 - type: map_at_3 value: 42.406 - type: map_at_5 value: 45.994 - type: mrr_at_1 value: 54.784 - type: mrr_at_10 value: 64.51400000000001 - type: mrr_at_100 value: 65.031 - type: mrr_at_1000 value: 65.05199999999999 - type: mrr_at_3 value: 62.474 - type: mrr_at_5 value: 63.562 - type: ndcg_at_1 value: 54.784 - type: ndcg_at_10 value: 57.138 - type: ndcg_at_100 value: 63.666999999999994 - type: ndcg_at_1000 value: 65.379 - type: ndcg_at_3 value: 52.589 - type: ndcg_at_5 value: 54.32599999999999 - type: precision_at_1 value: 54.784 - type: precision_at_10 value: 15.693999999999999 - type: precision_at_100 value: 2.259 - type: precision_at_1000 value: 0.256 - type: precision_at_3 value: 34.774 - type: precision_at_5 value: 25.772000000000002 - type: recall_at_1 value: 29.561999999999998 - type: recall_at_10 value: 64.708 - type: recall_at_100 value: 87.958 - type: recall_at_1000 value: 97.882 - type: recall_at_3 value: 48.394 - type: recall_at_5 value: 56.101 - task: type: Retrieval dataset: name: MTEB HotpotQA type: mteb/hotpotqa config: default split: test revision: ab518f4d6fcca38d87c25209f94beba119d02014 metrics: - type: map_at_1 value: 43.72 - type: map_at_10 value: 71.905 - type: map_at_100 value: 72.685 - type: map_at_1000 value: 72.72800000000001 - type: map_at_3 value: 68.538 - type: map_at_5 value: 70.675 - type: mrr_at_1 value: 87.441 - type: mrr_at_10 value: 91.432 - type: mrr_at_100 value: 91.512 - type: mrr_at_1000 value: 91.513 - type: mrr_at_3 value: 90.923 - type: mrr_at_5 value: 91.252 - type: ndcg_at_1 value: 87.441 - type: ndcg_at_10 value: 79.212 - type: ndcg_at_100 value: 81.694 - type: ndcg_at_1000 value: 82.447 - type: ndcg_at_3 value: 74.746 - type: ndcg_at_5 value: 77.27199999999999 - type: precision_at_1 value: 87.441 - type: precision_at_10 value: 16.42 - type: precision_at_100 value: 1.833 - type: precision_at_1000 value: 0.193 - type: precision_at_3 value: 48.184 - type: precision_at_5 value: 30.897999999999996 - type: recall_at_1 value: 43.72 - type: recall_at_10 value: 82.1 - type: recall_at_100 value: 91.62700000000001 - type: recall_at_1000 value: 96.556 - type: recall_at_3 value: 72.275 - type: recall_at_5 value: 77.24499999999999 - type: map_at_1 value: 43.72 - type: map_at_10 value: 71.905 - type: map_at_100 value: 72.685 - type: map_at_1000 value: 72.72800000000001 - type: map_at_3 value: 68.538 - type: map_at_5 value: 70.675 - type: mrr_at_1 value: 87.441 - type: mrr_at_10 value: 91.432 - type: mrr_at_100 value: 91.512 - type: mrr_at_1000 value: 91.513 - type: mrr_at_3 value: 90.923 - type: mrr_at_5 value: 91.252 - type: ndcg_at_1 value: 87.441 - type: ndcg_at_10 value: 79.212 - type: ndcg_at_100 value: 81.694 - type: ndcg_at_1000 value: 82.447 - type: ndcg_at_3 value: 74.746 - type: ndcg_at_5 value: 77.27199999999999 - type: precision_at_1 value: 87.441 - type: precision_at_10 value: 16.42 - type: precision_at_100 value: 1.833 - type: precision_at_1000 value: 0.193 - type: precision_at_3 value: 48.184 - type: precision_at_5 value: 30.897999999999996 - type: recall_at_1 value: 43.72 - type: recall_at_10 value: 82.1 - type: recall_at_100 value: 91.62700000000001 - type: recall_at_1000 value: 96.556 - type: recall_at_3 value: 72.275 - type: recall_at_5 value: 77.24499999999999 - task: type: Classification dataset: name: MTEB IFlyTek type: C-MTEB/IFlyTek-classification config: default split: validation revision: 421605374b29664c5fc098418fe20ada9bd55f8a metrics: - type: accuracy value: 54.520969603693736 - type: f1 value: 42.359043311419626 - type: accuracy value: 54.520969603693736 - type: f1 value: 42.359043311419626 - task: type: Classification dataset: name: MTEB ImdbClassification type: mteb/imdb config: default split: test revision: 3d86128a09e091d6018b6d26cad27f2739fc2db7 metrics: - type: accuracy value: 96.72559999999999 - type: ap value: 95.01759461773742 - type: f1 value: 96.72429945397575 - type: accuracy value: 96.72559999999999 - type: ap value: 95.01759461773742 - type: f1 value: 96.72429945397575 - task: type: Classification dataset: name: MTEB JDReview type: C-MTEB/JDReview-classification config: default split: test revision: b7c64bd89eb87f8ded463478346f76731f07bf8b metrics: - type: accuracy value: 90.1688555347092 - type: ap value: 63.36583667477521 - type: f1 value: 85.6845016521436 - type: accuracy value: 90.1688555347092 - type: ap value: 63.36583667477521 - type: f1 value: 85.6845016521436 - task: type: STS dataset: name: MTEB LCQMC type: C-MTEB/LCQMC config: default split: test revision: 17f9b096f80380fce5ed12a9be8be7784b337daf metrics: - type: cos_sim_pearson value: 68.8503997749679 - type: cos_sim_spearman value: 74.15059291199371 - type: euclidean_pearson value: 73.01105331948172 - type: euclidean_spearman value: 74.15059069348803 - type: manhattan_pearson value: 72.80856655624557 - type: manhattan_spearman value: 73.95174793448955 - type: cos_sim_pearson value: 68.8503997749679 - type: cos_sim_spearman value: 74.15059291199371 - type: euclidean_pearson value: 73.01105331948172 - type: euclidean_spearman value: 74.15059069348803 - type: manhattan_pearson value: 72.80856655624557 - type: manhattan_spearman value: 73.95174793448955 - task: type: Reranking dataset: name: MTEB MMarcoReranking type: C-MTEB/Mmarco-reranking config: default split: dev revision: 8e0c766dbe9e16e1d221116a3f36795fbade07f6 metrics: - type: map value: 32.68592539803807 - type: mrr value: 31.58968253968254 - type: map value: 32.68592539803807 - type: mrr value: 31.58968253968254 - task: type: Retrieval dataset: name: MTEB MMarcoRetrieval type: C-MTEB/MMarcoRetrieval config: default split: dev revision: 539bbde593d947e2a124ba72651aafc09eb33fc2 metrics: - type: map_at_1 value: 71.242 - type: map_at_10 value: 80.01 - type: map_at_100 value: 80.269 - type: map_at_1000 value: 80.276 - type: map_at_3 value: 78.335 - type: map_at_5 value: 79.471 - type: mrr_at_1 value: 73.668 - type: mrr_at_10 value: 80.515 - type: mrr_at_100 value: 80.738 - type: mrr_at_1000 value: 80.744 - type: mrr_at_3 value: 79.097 - type: mrr_at_5 value: 80.045 - type: ndcg_at_1 value: 73.668 - type: ndcg_at_10 value: 83.357 - type: ndcg_at_100 value: 84.442 - type: ndcg_at_1000 value: 84.619 - type: ndcg_at_3 value: 80.286 - type: ndcg_at_5 value: 82.155 - type: precision_at_1 value: 73.668 - type: precision_at_10 value: 9.905 - type: precision_at_100 value: 1.043 - type: precision_at_1000 value: 0.106 - type: precision_at_3 value: 30.024 - type: precision_at_5 value: 19.017 - type: recall_at_1 value: 71.242 - type: recall_at_10 value: 93.11 - type: recall_at_100 value: 97.85000000000001 - type: recall_at_1000 value: 99.21900000000001 - type: recall_at_3 value: 85.137 - type: recall_at_5 value: 89.548 - type: map_at_1 value: 71.242 - type: map_at_10 value: 80.01 - type: map_at_100 value: 80.269 - type: map_at_1000 value: 80.276 - type: map_at_3 value: 78.335 - type: map_at_5 value: 79.471 - type: mrr_at_1 value: 73.668 - type: mrr_at_10 value: 80.515 - type: mrr_at_100 value: 80.738 - type: mrr_at_1000 value: 80.744 - type: mrr_at_3 value: 79.097 - type: mrr_at_5 value: 80.045 - type: ndcg_at_1 value: 73.668 - type: ndcg_at_10 value: 83.357 - type: ndcg_at_100 value: 84.442 - type: ndcg_at_1000 value: 84.619 - type: ndcg_at_3 value: 80.286 - type: ndcg_at_5 value: 82.155 - type: precision_at_1 value: 73.668 - type: precision_at_10 value: 9.905 - type: precision_at_100 value: 1.043 - type: precision_at_1000 value: 0.106 - type: precision_at_3 value: 30.024 - type: precision_at_5 value: 19.017 - type: recall_at_1 value: 71.242 - type: recall_at_10 value: 93.11 - type: recall_at_100 value: 97.85000000000001 - type: recall_at_1000 value: 99.21900000000001 - type: recall_at_3 value: 85.137 - type: recall_at_5 value: 89.548 - task: type: Retrieval dataset: name: MTEB MSMARCO type: mteb/msmarco config: default split: dev revision: c5a29a104738b98a9e76336939199e264163d4a0 metrics: - type: map_at_1 value: 22.006999999999998 - type: map_at_10 value: 34.994 - type: map_at_100 value: 36.183 - type: map_at_1000 value: 36.227 - type: map_at_3 value: 30.75 - type: map_at_5 value: 33.155 - type: mrr_at_1 value: 22.679 - type: mrr_at_10 value: 35.619 - type: mrr_at_100 value: 36.732 - type: mrr_at_1000 value: 36.77 - type: mrr_at_3 value: 31.44 - type: mrr_at_5 value: 33.811 - type: ndcg_at_1 value: 22.679 - type: ndcg_at_10 value: 42.376000000000005 - type: ndcg_at_100 value: 48.001 - type: ndcg_at_1000 value: 49.059999999999995 - type: ndcg_at_3 value: 33.727000000000004 - type: ndcg_at_5 value: 38.013000000000005 - type: precision_at_1 value: 22.679 - type: precision_at_10 value: 6.815 - type: precision_at_100 value: 0.962 - type: precision_at_1000 value: 0.105 - type: precision_at_3 value: 14.441 - type: precision_at_5 value: 10.817 - type: recall_at_1 value: 22.006999999999998 - type: recall_at_10 value: 65.158 - type: recall_at_100 value: 90.997 - type: recall_at_1000 value: 98.996 - type: recall_at_3 value: 41.646 - type: recall_at_5 value: 51.941 - type: map_at_1 value: 22.006999999999998 - type: map_at_10 value: 34.994 - type: map_at_100 value: 36.183 - type: map_at_1000 value: 36.227 - type: map_at_3 value: 30.75 - type: map_at_5 value: 33.155 - type: mrr_at_1 value: 22.679 - type: mrr_at_10 value: 35.619 - type: mrr_at_100 value: 36.732 - type: mrr_at_1000 value: 36.77 - type: mrr_at_3 value: 31.44 - type: mrr_at_5 value: 33.811 - type: ndcg_at_1 value: 22.679 - type: ndcg_at_10 value: 42.376000000000005 - type: ndcg_at_100 value: 48.001 - type: ndcg_at_1000 value: 49.059999999999995 - type: ndcg_at_3 value: 33.727000000000004 - type: ndcg_at_5 value: 38.013000000000005 - type: precision_at_1 value: 22.679 - type: precision_at_10 value: 6.815 - type: precision_at_100 value: 0.962 - type: precision_at_1000 value: 0.105 - type: precision_at_3 value: 14.441 - type: precision_at_5 value: 10.817 - type: recall_at_1 value: 22.006999999999998 - type: recall_at_10 value: 65.158 - type: recall_at_100 value: 90.997 - type: recall_at_1000 value: 98.996 - type: recall_at_3 value: 41.646 - type: recall_at_5 value: 51.941 - task: type: Classification dataset: name: MTEB MTOPDomainClassification (en) type: mteb/mtop_domain config: en split: test revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf metrics: - type: accuracy value: 97.55129958960327 - type: f1 value: 97.43464802675416 - type: accuracy value: 97.55129958960327 - type: f1 value: 97.43464802675416 - task: type: Classification dataset: name: MTEB MTOPIntentClassification (en) type: mteb/mtop_intent config: en split: test revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba metrics: - type: accuracy value: 90.4719562243502 - type: f1 value: 70.76460034443902 - type: accuracy value: 90.4719562243502 - type: f1 value: 70.76460034443902 - task: type: Classification dataset: name: MTEB MassiveIntentClassification (en) type: mteb/amazon_massive_intent config: en split: test revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7 metrics: - type: accuracy value: 83.49024882313383 - type: f1 value: 81.44067057564666 - task: type: Classification dataset: name: MTEB MassiveScenarioClassification (en) type: mteb/amazon_massive_scenario config: en split: test revision: 7d571f92784cd94a019292a1f45445077d0ef634 metrics: - type: accuracy value: 87.23268325487558 - type: f1 value: 86.36737921996752 - task: type: Retrieval dataset: name: MTEB MedicalRetrieval type: C-MTEB/MedicalRetrieval config: default split: dev revision: 2039188fb5800a9803ba5048df7b76e6fb151fc6 metrics: - type: map_at_1 value: 56.89999999999999 - type: map_at_10 value: 63.438 - type: map_at_100 value: 63.956 - type: map_at_1000 value: 63.991 - type: map_at_3 value: 61.983 - type: map_at_5 value: 62.778 - type: mrr_at_1 value: 56.99999999999999 - type: mrr_at_10 value: 63.483000000000004 - type: mrr_at_100 value: 63.993 - type: mrr_at_1000 value: 64.02799999999999 - type: mrr_at_3 value: 62.017 - type: mrr_at_5 value: 62.812 - type: ndcg_at_1 value: 56.89999999999999 - type: ndcg_at_10 value: 66.61 - type: ndcg_at_100 value: 69.387 - type: ndcg_at_1000 value: 70.327 - type: ndcg_at_3 value: 63.583999999999996 - type: ndcg_at_5 value: 65.0 - type: precision_at_1 value: 56.89999999999999 - type: precision_at_10 value: 7.66 - type: precision_at_100 value: 0.902 - type: precision_at_1000 value: 0.098 - type: precision_at_3 value: 22.733 - type: precision_at_5 value: 14.32 - type: recall_at_1 value: 56.89999999999999 - type: recall_at_10 value: 76.6 - type: recall_at_100 value: 90.2 - type: recall_at_1000 value: 97.6 - type: recall_at_3 value: 68.2 - type: recall_at_5 value: 71.6 - type: map_at_1 value: 56.89999999999999 - type: map_at_10 value: 63.438 - type: map_at_100 value: 63.956 - type: map_at_1000 value: 63.991 - type: map_at_3 value: 61.983 - type: map_at_5 value: 62.778 - type: mrr_at_1 value: 56.99999999999999 - type: mrr_at_10 value: 63.483000000000004 - type: mrr_at_100 value: 63.993 - type: mrr_at_1000 value: 64.02799999999999 - type: mrr_at_3 value: 62.017 - type: mrr_at_5 value: 62.812 - type: ndcg_at_1 value: 56.89999999999999 - type: ndcg_at_10 value: 66.61 - type: ndcg_at_100 value: 69.387 - type: ndcg_at_1000 value: 70.327 - type: ndcg_at_3 value: 63.583999999999996 - type: ndcg_at_5 value: 65.0 - type: precision_at_1 value: 56.89999999999999 - type: precision_at_10 value: 7.66 - type: precision_at_100 value: 0.902 - type: precision_at_1000 value: 0.098 - type: precision_at_3 value: 22.733 - type: precision_at_5 value: 14.32 - type: recall_at_1 value: 56.89999999999999 - type: recall_at_10 value: 76.6 - type: recall_at_100 value: 90.2 - type: recall_at_1000 value: 97.6 - type: recall_at_3 value: 68.2 - type: recall_at_5 value: 71.6 - task: type: Clustering dataset: name: MTEB MedrxivClusteringP2P type: mteb/medrxiv-clustering-p2p config: default split: test revision: e7a26af6f3ae46b30dde8737f02c07b1505bcc73 metrics: - type: v_measure value: 40.32149153753394 - type: v_measure value: 40.32149153753394 - task: type: Clustering dataset: name: MTEB MedrxivClusteringS2S type: mteb/medrxiv-clustering-s2s config: default split: test revision: 35191c8c0dca72d8ff3efcd72aa802307d469663 metrics: - type: v_measure value: 39.40319973495386 - type: v_measure value: 39.40319973495386 - task: type: Reranking dataset: name: MTEB MindSmallReranking type: mteb/mind_small config: default split: test revision: 3bdac13927fdc888b903db93b2ffdbd90b295a69 metrics: - type: map value: 33.9769104898534 - type: mrr value: 35.32831430710564 - type: map value: 33.9769104898534 - type: mrr value: 35.32831430710564 - task: type: Classification dataset: name: MTEB MultilingualSentiment type: C-MTEB/MultilingualSentiment-classification config: default split: validation revision: 46958b007a63fdbf239b7672c25d0bea67b5ea1a metrics: - type: accuracy value: 81.80666666666667 - type: f1 value: 81.83278699395508 - type: accuracy value: 81.80666666666667 - type: f1 value: 81.83278699395508 - task: type: Retrieval dataset: name: MTEB NFCorpus type: mteb/nfcorpus config: default split: test revision: ec0fa4fe99da2ff19ca1214b7966684033a58814 metrics: - type: map_at_1 value: 6.3 - type: map_at_10 value: 14.151 - type: map_at_100 value: 18.455 - type: map_at_1000 value: 20.186999999999998 - type: map_at_3 value: 10.023 - type: map_at_5 value: 11.736 - type: mrr_at_1 value: 49.536 - type: mrr_at_10 value: 58.516 - type: mrr_at_100 value: 59.084 - type: mrr_at_1000 value: 59.114 - type: mrr_at_3 value: 56.45 - type: mrr_at_5 value: 57.642 - type: ndcg_at_1 value: 47.522999999999996 - type: ndcg_at_10 value: 38.4 - type: ndcg_at_100 value: 35.839999999999996 - type: ndcg_at_1000 value: 44.998 - type: ndcg_at_3 value: 43.221 - type: ndcg_at_5 value: 40.784 - type: precision_at_1 value: 49.536 - type: precision_at_10 value: 28.977999999999998 - type: precision_at_100 value: 9.378 - type: precision_at_1000 value: 2.2769999999999997 - type: precision_at_3 value: 40.454 - type: precision_at_5 value: 35.418 - type: recall_at_1 value: 6.3 - type: recall_at_10 value: 19.085 - type: recall_at_100 value: 38.18 - type: recall_at_1000 value: 71.219 - type: recall_at_3 value: 11.17 - type: recall_at_5 value: 13.975999999999999 - type: map_at_1 value: 6.3 - type: map_at_10 value: 14.151 - type: map_at_100 value: 18.455 - type: map_at_1000 value: 20.186999999999998 - type: map_at_3 value: 10.023 - type: map_at_5 value: 11.736 - type: mrr_at_1 value: 49.536 - type: mrr_at_10 value: 58.516 - type: mrr_at_100 value: 59.084 - type: mrr_at_1000 value: 59.114 - type: mrr_at_3 value: 56.45 - type: mrr_at_5 value: 57.642 - type: ndcg_at_1 value: 47.522999999999996 - type: ndcg_at_10 value: 38.4 - type: ndcg_at_100 value: 35.839999999999996 - type: ndcg_at_1000 value: 44.998 - type: ndcg_at_3 value: 43.221 - type: ndcg_at_5 value: 40.784 - type: precision_at_1 value: 49.536 - type: precision_at_10 value: 28.977999999999998 - type: precision_at_100 value: 9.378 - type: precision_at_1000 value: 2.2769999999999997 - type: precision_at_3 value: 40.454 - type: precision_at_5 value: 35.418 - type: recall_at_1 value: 6.3 - type: recall_at_10 value: 19.085 - type: recall_at_100 value: 38.18 - type: recall_at_1000 value: 71.219 - type: recall_at_3 value: 11.17 - type: recall_at_5 value: 13.975999999999999 - task: type: Retrieval dataset: name: MTEB NQ type: mteb/nq config: default split: test revision: b774495ed302d8c44a3a7ea25c90dbce03968f31 metrics: - type: map_at_1 value: 43.262 - type: map_at_10 value: 60.387 - type: map_at_100 value: 61.102000000000004 - type: map_at_1000 value: 61.111000000000004 - type: map_at_3 value: 56.391999999999996 - type: map_at_5 value: 58.916000000000004 - type: mrr_at_1 value: 48.725 - type: mrr_at_10 value: 62.812999999999995 - type: mrr_at_100 value: 63.297000000000004 - type: mrr_at_1000 value: 63.304 - type: mrr_at_3 value: 59.955999999999996 - type: mrr_at_5 value: 61.785999999999994 - type: ndcg_at_1 value: 48.696 - type: ndcg_at_10 value: 67.743 - type: ndcg_at_100 value: 70.404 - type: ndcg_at_1000 value: 70.60600000000001 - type: ndcg_at_3 value: 60.712999999999994 - type: ndcg_at_5 value: 64.693 - type: precision_at_1 value: 48.696 - type: precision_at_10 value: 10.513 - type: precision_at_100 value: 1.196 - type: precision_at_1000 value: 0.121 - type: precision_at_3 value: 27.221 - type: precision_at_5 value: 18.701999999999998 - type: recall_at_1 value: 43.262 - type: recall_at_10 value: 87.35300000000001 - type: recall_at_100 value: 98.31299999999999 - type: recall_at_1000 value: 99.797 - type: recall_at_3 value: 69.643 - type: recall_at_5 value: 78.645 - type: map_at_1 value: 43.262 - type: map_at_10 value: 60.387 - type: map_at_100 value: 61.102000000000004 - type: map_at_1000 value: 61.111000000000004 - type: map_at_3 value: 56.391999999999996 - type: map_at_5 value: 58.916000000000004 - type: mrr_at_1 value: 48.725 - type: mrr_at_10 value: 62.812999999999995 - type: mrr_at_100 value: 63.297000000000004 - type: mrr_at_1000 value: 63.304 - type: mrr_at_3 value: 59.955999999999996 - type: mrr_at_5 value: 61.785999999999994 - type: ndcg_at_1 value: 48.696 - type: ndcg_at_10 value: 67.743 - type: ndcg_at_100 value: 70.404 - type: ndcg_at_1000 value: 70.60600000000001 - type: ndcg_at_3 value: 60.712999999999994 - type: ndcg_at_5 value: 64.693 - type: precision_at_1 value: 48.696 - type: precision_at_10 value: 10.513 - type: precision_at_100 value: 1.196 - type: precision_at_1000 value: 0.121 - type: precision_at_3 value: 27.221 - type: precision_at_5 value: 18.701999999999998 - type: recall_at_1 value: 43.262 - type: recall_at_10 value: 87.35300000000001 - type: recall_at_100 value: 98.31299999999999 - type: recall_at_1000 value: 99.797 - type: recall_at_3 value: 69.643 - type: recall_at_5 value: 78.645 - task: type: PairClassification dataset: name: MTEB Ocnli type: C-MTEB/OCNLI config: default split: validation revision: 66e76a618a34d6d565d5538088562851e6daa7ec metrics: - type: cos_sim_accuracy value: 72.65836491608013 - type: cos_sim_ap value: 78.75807247519593 - type: cos_sim_f1 value: 74.84662576687117 - type: cos_sim_precision value: 63.97003745318352 - type: cos_sim_recall value: 90.17951425554382 - type: dot_accuracy value: 72.65836491608013 - type: dot_ap value: 78.75807247519593 - type: dot_f1 value: 74.84662576687117 - type: dot_precision value: 63.97003745318352 - type: dot_recall value: 90.17951425554382 - type: euclidean_accuracy value: 72.65836491608013 - type: euclidean_ap value: 78.75807247519593 - type: euclidean_f1 value: 74.84662576687117 - type: euclidean_precision value: 63.97003745318352 - type: euclidean_recall value: 90.17951425554382 - type: manhattan_accuracy value: 72.00866269626421 - type: manhattan_ap value: 78.34663376353235 - type: manhattan_f1 value: 74.13234613604813 - type: manhattan_precision value: 65.98023064250413 - type: manhattan_recall value: 84.58289334741288 - type: max_accuracy value: 72.65836491608013 - type: max_ap value: 78.75807247519593 - type: max_f1 value: 74.84662576687117 - type: cos_sim_accuracy value: 72.65836491608013 - type: cos_sim_ap value: 78.75807247519593 - type: cos_sim_f1 value: 74.84662576687117 - type: cos_sim_precision value: 63.97003745318352 - type: cos_sim_recall value: 90.17951425554382 - type: dot_accuracy value: 72.65836491608013 - type: dot_ap value: 78.75807247519593 - type: dot_f1 value: 74.84662576687117 - type: dot_precision value: 63.97003745318352 - type: dot_recall value: 90.17951425554382 - type: euclidean_accuracy value: 72.65836491608013 - type: euclidean_ap value: 78.75807247519593 - type: euclidean_f1 value: 74.84662576687117 - type: euclidean_precision value: 63.97003745318352 - type: euclidean_recall value: 90.17951425554382 - type: manhattan_accuracy value: 72.00866269626421 - type: manhattan_ap value: 78.34663376353235 - type: manhattan_f1 value: 74.13234613604813 - type: manhattan_precision value: 65.98023064250413 - type: manhattan_recall value: 84.58289334741288 - type: max_accuracy value: 72.65836491608013 - type: max_ap value: 78.75807247519593 - type: max_f1 value: 74.84662576687117 - task: type: Classification dataset: name: MTEB OnlineShopping type: C-MTEB/OnlineShopping-classification config: default split: test revision: e610f2ebd179a8fda30ae534c3878750a96db120 metrics: - type: accuracy value: 94.46999999999998 - type: ap value: 93.56401511160975 - type: f1 value: 94.46692790889986 - type: accuracy value: 94.46999999999998 - type: ap value: 93.56401511160975 - type: f1 value: 94.46692790889986 - task: type: STS dataset: name: MTEB PAWSX type: C-MTEB/PAWSX config: default split: test revision: 9c6a90e430ac22b5779fb019a23e820b11a8b5e1 metrics: - type: cos_sim_pearson value: 15.232590709271829 - type: cos_sim_spearman value: 17.204830998481093 - type: euclidean_pearson value: 19.543519063265673 - type: euclidean_spearman value: 17.204830998481093 - type: manhattan_pearson value: 19.5722663367917 - type: manhattan_spearman value: 17.25656568963978 - type: cos_sim_pearson value: 15.232590709271829 - type: cos_sim_spearman value: 17.204830998481093 - type: euclidean_pearson value: 19.543519063265673 - type: euclidean_spearman value: 17.204830998481093 - type: manhattan_pearson value: 19.5722663367917 - type: manhattan_spearman value: 17.25656568963978 - task: type: STS dataset: name: MTEB QBQTC type: C-MTEB/QBQTC config: default split: test revision: 790b0510dc52b1553e8c49f3d2afb48c0e5c48b7 metrics: - type: cos_sim_pearson value: 34.81965984725406 - type: cos_sim_spearman value: 37.697257783907645 - type: euclidean_pearson value: 35.87624912573427 - type: euclidean_spearman value: 37.69725778300291 - type: manhattan_pearson value: 35.69021326773646 - type: manhattan_spearman value: 37.54369033366458 - type: cos_sim_pearson value: 34.81965984725406 - type: cos_sim_spearman value: 37.697257783907645 - type: euclidean_pearson value: 35.87624912573427 - type: euclidean_spearman value: 37.69725778300291 - type: manhattan_pearson value: 35.69021326773646 - type: manhattan_spearman value: 37.54369033366458 - task: type: Retrieval dataset: name: MTEB QuoraRetrieval type: mteb/quora config: default split: test revision: None metrics: - type: map_at_1 value: 69.952 - type: map_at_10 value: 84.134 - type: map_at_100 value: 84.795 - type: map_at_1000 value: 84.809 - type: map_at_3 value: 81.085 - type: map_at_5 value: 82.976 - type: mrr_at_1 value: 80.56 - type: mrr_at_10 value: 87.105 - type: mrr_at_100 value: 87.20700000000001 - type: mrr_at_1000 value: 87.208 - type: mrr_at_3 value: 86.118 - type: mrr_at_5 value: 86.79299999999999 - type: ndcg_at_1 value: 80.57 - type: ndcg_at_10 value: 88.047 - type: ndcg_at_100 value: 89.266 - type: ndcg_at_1000 value: 89.34299999999999 - type: ndcg_at_3 value: 85.052 - type: ndcg_at_5 value: 86.68299999999999 - type: precision_at_1 value: 80.57 - type: precision_at_10 value: 13.439 - type: precision_at_100 value: 1.536 - type: precision_at_1000 value: 0.157 - type: precision_at_3 value: 37.283 - type: precision_at_5 value: 24.558 - type: recall_at_1 value: 69.952 - type: recall_at_10 value: 95.599 - type: recall_at_100 value: 99.67099999999999 - type: recall_at_1000 value: 99.983 - type: recall_at_3 value: 87.095 - type: recall_at_5 value: 91.668 - type: map_at_1 value: 69.952 - type: map_at_10 value: 84.134 - type: map_at_100 value: 84.795 - type: map_at_1000 value: 84.809 - type: map_at_3 value: 81.085 - type: map_at_5 value: 82.976 - type: mrr_at_1 value: 80.56 - type: mrr_at_10 value: 87.105 - type: mrr_at_100 value: 87.20700000000001 - type: mrr_at_1000 value: 87.208 - type: mrr_at_3 value: 86.118 - type: mrr_at_5 value: 86.79299999999999 - type: ndcg_at_1 value: 80.57 - type: ndcg_at_10 value: 88.047 - type: ndcg_at_100 value: 89.266 - type: ndcg_at_1000 value: 89.34299999999999 - type: ndcg_at_3 value: 85.052 - type: ndcg_at_5 value: 86.68299999999999 - type: precision_at_1 value: 80.57 - type: precision_at_10 value: 13.439 - type: precision_at_100 value: 1.536 - type: precision_at_1000 value: 0.157 - type: precision_at_3 value: 37.283 - type: precision_at_5 value: 24.558 - type: recall_at_1 value: 69.952 - type: recall_at_10 value: 95.599 - type: recall_at_100 value: 99.67099999999999 - type: recall_at_1000 value: 99.983 - type: recall_at_3 value: 87.095 - type: recall_at_5 value: 91.668 - task: type: Clustering dataset: name: MTEB RedditClustering type: mteb/reddit-clustering config: default split: test revision: 24640382cdbf8abc73003fb0fa6d111a705499eb metrics: - type: v_measure value: 70.12802769698337 - type: v_measure value: 70.12802769698337 - task: type: Clustering dataset: name: MTEB RedditClusteringP2P type: mteb/reddit-clustering-p2p config: default split: test revision: 282350215ef01743dc01b456c7f5241fa8937f16 metrics: - type: v_measure value: 71.19047621740276 - type: v_measure value: 71.19047621740276 - task: type: Retrieval dataset: name: MTEB SCIDOCS type: mteb/scidocs config: default split: test revision: None metrics: - type: map_at_1 value: 6.208 - type: map_at_10 value: 17.036 - type: map_at_100 value: 20.162 - type: map_at_1000 value: 20.552 - type: map_at_3 value: 11.591999999999999 - type: map_at_5 value: 14.349 - type: mrr_at_1 value: 30.599999999999998 - type: mrr_at_10 value: 43.325 - type: mrr_at_100 value: 44.281 - type: mrr_at_1000 value: 44.31 - type: mrr_at_3 value: 39.300000000000004 - type: mrr_at_5 value: 41.730000000000004 - type: ndcg_at_1 value: 30.599999999999998 - type: ndcg_at_10 value: 27.378000000000004 - type: ndcg_at_100 value: 37.768 - type: ndcg_at_1000 value: 43.275000000000006 - type: ndcg_at_3 value: 25.167 - type: ndcg_at_5 value: 22.537 - type: precision_at_1 value: 30.599999999999998 - type: precision_at_10 value: 14.46 - type: precision_at_100 value: 2.937 - type: precision_at_1000 value: 0.424 - type: precision_at_3 value: 23.666999999999998 - type: precision_at_5 value: 20.14 - type: recall_at_1 value: 6.208 - type: recall_at_10 value: 29.29 - type: recall_at_100 value: 59.565 - type: recall_at_1000 value: 85.963 - type: recall_at_3 value: 14.407 - type: recall_at_5 value: 20.412 - type: map_at_1 value: 6.208 - type: map_at_10 value: 17.036 - type: map_at_100 value: 20.162 - type: map_at_1000 value: 20.552 - type: map_at_3 value: 11.591999999999999 - type: map_at_5 value: 14.349 - type: mrr_at_1 value: 30.599999999999998 - type: mrr_at_10 value: 43.325 - type: mrr_at_100 value: 44.281 - type: mrr_at_1000 value: 44.31 - type: mrr_at_3 value: 39.300000000000004 - type: mrr_at_5 value: 41.730000000000004 - type: ndcg_at_1 value: 30.599999999999998 - type: ndcg_at_10 value: 27.378000000000004 - type: ndcg_at_100 value: 37.768 - type: ndcg_at_1000 value: 43.275000000000006 - type: ndcg_at_3 value: 25.167 - type: ndcg_at_5 value: 22.537 - type: precision_at_1 value: 30.599999999999998 - type: precision_at_10 value: 14.46 - type: precision_at_100 value: 2.937 - type: precision_at_1000 value: 0.424 - type: precision_at_3 value: 23.666999999999998 - type: precision_at_5 value: 20.14 - type: recall_at_1 value: 6.208 - type: recall_at_10 value: 29.29 - type: recall_at_100 value: 59.565 - type: recall_at_1000 value: 85.963 - type: recall_at_3 value: 14.407 - type: recall_at_5 value: 20.412 - task: type: STS dataset: name: MTEB SICK-R type: mteb/sickr-sts config: default split: test revision: a6ea5a8cab320b040a23452cc28066d9beae2cee metrics: - type: cos_sim_pearson value: 82.65489797062479 - type: cos_sim_spearman value: 75.34808277034776 - type: euclidean_pearson value: 79.28097508609059 - type: euclidean_spearman value: 75.3480824481771 - type: manhattan_pearson value: 78.83529262858895 - type: manhattan_spearman value: 74.96318170787025 - type: cos_sim_pearson value: 82.65489797062479 - type: cos_sim_spearman value: 75.34808277034776 - type: euclidean_pearson value: 79.28097508609059 - type: euclidean_spearman value: 75.3480824481771 - type: manhattan_pearson value: 78.83529262858895 - type: manhattan_spearman value: 74.96318170787025 - task: type: STS dataset: name: MTEB STS12 type: mteb/sts12-sts config: default split: test revision: a0d554a64d88156834ff5ae9920b964011b16384 metrics: - type: cos_sim_pearson value: 85.06920163624117 - type: cos_sim_spearman value: 77.24549887905519 - type: euclidean_pearson value: 85.58740280635266 - type: euclidean_spearman value: 77.24652170306867 - type: manhattan_pearson value: 85.77917470895854 - type: manhattan_spearman value: 77.54426264008778 - type: cos_sim_pearson value: 85.06920163624117 - type: cos_sim_spearman value: 77.24549887905519 - type: euclidean_pearson value: 85.58740280635266 - type: euclidean_spearman value: 77.24652170306867 - type: manhattan_pearson value: 85.77917470895854 - type: manhattan_spearman value: 77.54426264008778 - task: type: STS dataset: name: MTEB STS13 type: mteb/sts13-sts config: default split: test revision: 7e90230a92c190f1bf69ae9002b8cea547a64cca metrics: - type: cos_sim_pearson value: 80.9762185094084 - type: cos_sim_spearman value: 80.98090253728394 - type: euclidean_pearson value: 80.88451512135202 - type: euclidean_spearman value: 80.98090253728394 - type: manhattan_pearson value: 80.7606664599805 - type: manhattan_spearman value: 80.87197716950068 - type: cos_sim_pearson value: 80.9762185094084 - type: cos_sim_spearman value: 80.98090253728394 - type: euclidean_pearson value: 80.88451512135202 - type: euclidean_spearman value: 80.98090253728394 - type: manhattan_pearson value: 80.7606664599805 - type: manhattan_spearman value: 80.87197716950068 - task: type: STS dataset: name: MTEB STS14 type: mteb/sts14-sts config: default split: test revision: 6031580fec1f6af667f0bd2da0a551cf4f0b2375 metrics: - type: cos_sim_pearson value: 81.91239166620251 - type: cos_sim_spearman value: 76.36798509005328 - type: euclidean_pearson value: 80.6393872615655 - type: euclidean_spearman value: 76.36798836339655 - type: manhattan_pearson value: 80.50765898709096 - type: manhattan_spearman value: 76.31958999372227 - type: cos_sim_pearson value: 81.91239166620251 - type: cos_sim_spearman value: 76.36798509005328 - type: euclidean_pearson value: 80.6393872615655 - type: euclidean_spearman value: 76.36798836339655 - type: manhattan_pearson value: 80.50765898709096 - type: manhattan_spearman value: 76.31958999372227 - task: type: STS dataset: name: MTEB STS15 type: mteb/sts15-sts config: default split: test revision: ae752c7c21bf194d8b67fd573edf7ae58183cbe3 metrics: - type: cos_sim_pearson value: 83.68800355225011 - type: cos_sim_spearman value: 84.47549220803403 - type: euclidean_pearson value: 83.86859896384159 - type: euclidean_spearman value: 84.47551564954756 - type: manhattan_pearson value: 83.74201103044383 - type: manhattan_spearman value: 84.39903759718152 - type: cos_sim_pearson value: 83.68800355225011 - type: cos_sim_spearman value: 84.47549220803403 - type: euclidean_pearson value: 83.86859896384159 - type: euclidean_spearman value: 84.47551564954756 - type: manhattan_pearson value: 83.74201103044383 - type: manhattan_spearman value: 84.39903759718152 - task: type: STS dataset: name: MTEB STS16 type: mteb/sts16-sts config: default split: test revision: 4d8694f8f0e0100860b497b999b3dbed754a0513 metrics: - type: cos_sim_pearson value: 78.24197302553398 - type: cos_sim_spearman value: 79.44526946553684 - type: euclidean_pearson value: 79.12747636563053 - type: euclidean_spearman value: 79.44526946553684 - type: manhattan_pearson value: 78.94407504115144 - type: manhattan_spearman value: 79.24858249553934 - type: cos_sim_pearson value: 78.24197302553398 - type: cos_sim_spearman value: 79.44526946553684 - type: euclidean_pearson value: 79.12747636563053 - type: euclidean_spearman value: 79.44526946553684 - type: manhattan_pearson value: 78.94407504115144 - type: manhattan_spearman value: 79.24858249553934 - task: type: STS dataset: name: MTEB STS17 (en-en) type: mteb/sts17-crosslingual-sts config: en-en split: test revision: af5e6fb845001ecf41f4c1e033ce921939a2a68d metrics: - type: cos_sim_pearson value: 89.15329071763895 - type: cos_sim_spearman value: 88.67251952242073 - type: euclidean_pearson value: 89.16908249259637 - type: euclidean_spearman value: 88.67251952242073 - type: manhattan_pearson value: 89.1279735094785 - type: manhattan_spearman value: 88.81731953658254 - type: cos_sim_pearson value: 89.15329071763895 - type: cos_sim_spearman value: 88.67251952242073 - type: euclidean_pearson value: 89.16908249259637 - type: euclidean_spearman value: 88.67251952242073 - type: manhattan_pearson value: 89.1279735094785 - type: manhattan_spearman value: 88.81731953658254 - task: type: STS dataset: name: MTEB STS22 (en) type: mteb/sts22-crosslingual-sts config: en split: test revision: eea2b4fe26a775864c896887d910b76a8098ad3f metrics: - type: cos_sim_pearson value: 69.44962535524695 - type: cos_sim_spearman value: 71.75861316291065 - type: euclidean_pearson value: 72.42347748883483 - type: euclidean_spearman value: 71.75861316291065 - type: manhattan_pearson value: 72.57545073534365 - type: manhattan_spearman value: 71.90087671205625 - type: cos_sim_pearson value: 69.44962535524695 - type: cos_sim_spearman value: 71.75861316291065 - type: euclidean_pearson value: 72.42347748883483 - type: euclidean_spearman value: 71.75861316291065 - type: manhattan_pearson value: 72.57545073534365 - type: manhattan_spearman value: 71.90087671205625 - task: type: STS dataset: name: MTEB STSB type: C-MTEB/STSB config: default split: test revision: 0cde68302b3541bb8b3c340dc0644b0b745b3dc0 metrics: - type: cos_sim_pearson value: 77.39283860361535 - type: cos_sim_spearman value: 77.14577975930179 - type: euclidean_pearson value: 76.64560889817044 - type: euclidean_spearman value: 77.14577975930179 - type: manhattan_pearson value: 76.82848456242104 - type: manhattan_spearman value: 77.37708521460667 - type: cos_sim_pearson value: 77.39283860361535 - type: cos_sim_spearman value: 77.14577975930179 - type: euclidean_pearson value: 76.64560889817044 - type: euclidean_spearman value: 77.14577975930179 - type: manhattan_pearson value: 76.82848456242104 - type: manhattan_spearman value: 77.37708521460667 - task: type: STS dataset: name: MTEB STSBenchmark type: mteb/stsbenchmark-sts config: default split: test revision: b0fddb56ed78048fa8b90373c8a3cfc37b684831 metrics: - type: cos_sim_pearson value: 84.14036697885552 - type: cos_sim_spearman value: 83.10901632378086 - type: euclidean_pearson value: 83.59991244380554 - type: euclidean_spearman value: 83.10901632378086 - type: manhattan_pearson value: 83.56632266895113 - type: manhattan_spearman value: 83.17610542379353 - type: cos_sim_pearson value: 84.14036697885552 - type: cos_sim_spearman value: 83.10901632378086 - type: euclidean_pearson value: 83.59991244380554 - type: euclidean_spearman value: 83.10901632378086 - type: manhattan_pearson value: 83.56632266895113 - type: manhattan_spearman value: 83.17610542379353 - task: type: Reranking dataset: name: MTEB SciDocsRR type: mteb/scidocs-reranking config: default split: test revision: d3c5e1fc0b855ab6097bf1cda04dd73947d7caab metrics: - type: map value: 88.98026856845443 - type: mrr value: 96.80987494712984 - type: map value: 88.98026856845443 - type: mrr value: 96.80987494712984 - task: type: Retrieval dataset: name: MTEB SciFact type: mteb/scifact config: default split: test revision: 0228b52cf27578f30900b9e5271d331663a030d7 metrics: - type: map_at_1 value: 41.661 - type: map_at_10 value: 55.492 - type: map_at_100 value: 56.237 - type: map_at_1000 value: 56.255 - type: map_at_3 value: 51.05 - type: map_at_5 value: 54.01200000000001 - type: mrr_at_1 value: 44.0 - type: mrr_at_10 value: 56.443 - type: mrr_at_100 value: 57.13700000000001 - type: mrr_at_1000 value: 57.152 - type: mrr_at_3 value: 52.944 - type: mrr_at_5 value: 55.37800000000001 - type: ndcg_at_1 value: 44.0 - type: ndcg_at_10 value: 62.312999999999995 - type: ndcg_at_100 value: 65.63900000000001 - type: ndcg_at_1000 value: 66.019 - type: ndcg_at_3 value: 54.67999999999999 - type: ndcg_at_5 value: 59.284000000000006 - type: precision_at_1 value: 44.0 - type: precision_at_10 value: 9.367 - type: precision_at_100 value: 1.0999999999999999 - type: precision_at_1000 value: 0.11299999999999999 - type: precision_at_3 value: 22.778000000000002 - type: precision_at_5 value: 16.467000000000002 - type: recall_at_1 value: 41.661 - type: recall_at_10 value: 82.306 - type: recall_at_100 value: 97.167 - type: recall_at_1000 value: 100.0 - type: recall_at_3 value: 62.461 - type: recall_at_5 value: 73.411 - type: map_at_1 value: 41.661 - type: map_at_10 value: 55.492 - type: map_at_100 value: 56.237 - type: map_at_1000 value: 56.255 - type: map_at_3 value: 51.05 - type: map_at_5 value: 54.01200000000001 - type: mrr_at_1 value: 44.0 - type: mrr_at_10 value: 56.443 - type: mrr_at_100 value: 57.13700000000001 - type: mrr_at_1000 value: 57.152 - type: mrr_at_3 value: 52.944 - type: mrr_at_5 value: 55.37800000000001 - type: ndcg_at_1 value: 44.0 - type: ndcg_at_10 value: 62.312999999999995 - type: ndcg_at_100 value: 65.63900000000001 - type: ndcg_at_1000 value: 66.019 - type: ndcg_at_3 value: 54.67999999999999 - type: ndcg_at_5 value: 59.284000000000006 - type: precision_at_1 value: 44.0 - type: precision_at_10 value: 9.367 - type: precision_at_100 value: 1.0999999999999999 - type: precision_at_1000 value: 0.11299999999999999 - type: precision_at_3 value: 22.778000000000002 - type: precision_at_5 value: 16.467000000000002 - type: recall_at_1 value: 41.661 - type: recall_at_10 value: 82.306 - type: recall_at_100 value: 97.167 - type: recall_at_1000 value: 100.0 - type: recall_at_3 value: 62.461 - type: recall_at_5 value: 73.411 - task: type: PairClassification dataset: name: MTEB SprintDuplicateQuestions type: mteb/sprintduplicatequestions-pairclassification config: default split: test revision: d66bd1f72af766a5cc4b0ca5e00c162f89e8cc46 metrics: - type: cos_sim_accuracy value: 99.90693069306931 - type: cos_sim_ap value: 97.86562522779887 - type: cos_sim_f1 value: 95.27162977867204 - type: cos_sim_precision value: 95.8502024291498 - type: cos_sim_recall value: 94.69999999999999 - type: dot_accuracy value: 99.90693069306931 - type: dot_ap value: 97.86562522779887 - type: dot_f1 value: 95.27162977867204 - type: dot_precision value: 95.8502024291498 - type: dot_recall value: 94.69999999999999 - type: euclidean_accuracy value: 99.90693069306931 - type: euclidean_ap value: 97.86562522779887 - type: euclidean_f1 value: 95.27162977867204 - type: euclidean_precision value: 95.8502024291498 - type: euclidean_recall value: 94.69999999999999 - type: manhattan_accuracy value: 99.90693069306931 - type: manhattan_ap value: 97.85527044211135 - type: manhattan_f1 value: 95.27638190954774 - type: manhattan_precision value: 95.75757575757575 - type: manhattan_recall value: 94.8 - type: max_accuracy value: 99.90693069306931 - type: max_ap value: 97.86562522779887 - type: max_f1 value: 95.27638190954774 - type: cos_sim_accuracy value: 99.90693069306931 - type: cos_sim_ap value: 97.86562522779887 - type: cos_sim_f1 value: 95.27162977867204 - type: cos_sim_precision value: 95.8502024291498 - type: cos_sim_recall value: 94.69999999999999 - type: dot_accuracy value: 99.90693069306931 - type: dot_ap value: 97.86562522779887 - type: dot_f1 value: 95.27162977867204 - type: dot_precision value: 95.8502024291498 - type: dot_recall value: 94.69999999999999 - type: euclidean_accuracy value: 99.90693069306931 - type: euclidean_ap value: 97.86562522779887 - type: euclidean_f1 value: 95.27162977867204 - type: euclidean_precision value: 95.8502024291498 - type: euclidean_recall value: 94.69999999999999 - type: manhattan_accuracy value: 99.90693069306931 - type: manhattan_ap value: 97.85527044211135 - type: manhattan_f1 value: 95.27638190954774 - type: manhattan_precision value: 95.75757575757575 - type: manhattan_recall value: 94.8 - type: max_accuracy value: 99.90693069306931 - type: max_ap value: 97.86562522779887 - type: max_f1 value: 95.27638190954774 - task: type: Clustering dataset: name: MTEB StackExchangeClustering type: mteb/stackexchange-clustering config: default split: test revision: 6cbc1f7b2bc0622f2e39d2c77fa502909748c259 metrics: - type: v_measure value: 78.89230351770412 - type: v_measure value: 78.89230351770412 - task: type: Clustering dataset: name: MTEB StackExchangeClusteringP2P type: mteb/stackexchange-clustering-p2p config: default split: test revision: 815ca46b2622cec33ccafc3735d572c266efdb44 metrics: - type: v_measure value: 47.52328347080355 - type: v_measure value: 47.52328347080355 - task: type: Reranking dataset: name: MTEB StackOverflowDupQuestions type: mteb/stackoverflowdupquestions-reranking config: default split: test revision: e185fbe320c72810689fc5848eb6114e1ef5ec69 metrics: - type: map value: 57.74702024461137 - type: mrr value: 58.88074548001018 - type: map value: 57.74702024461137 - type: mrr value: 58.88074548001018 - task: type: Summarization dataset: name: MTEB SummEval type: mteb/summeval config: default split: test revision: cda12ad7615edc362dbf25a00fdd61d3b1eaf93c metrics: - type: cos_sim_pearson value: 30.047929797503592 - type: cos_sim_spearman value: 29.465371781983567 - type: dot_pearson value: 30.047927690552335 - type: dot_spearman value: 29.465371781983567 - type: cos_sim_pearson value: 30.047929797503592 - type: cos_sim_spearman value: 29.465371781983567 - type: dot_pearson value: 30.047927690552335 - type: dot_spearman value: 29.465371781983567 - task: type: Classification dataset: name: MTEB TNews type: C-MTEB/TNews-classification config: default split: validation revision: 317f262bf1e6126357bbe89e875451e4b0938fe4 metrics: - type: accuracy value: 56.691999999999986 - type: f1 value: 54.692084702788065 - type: accuracy value: 56.691999999999986 - type: f1 value: 54.692084702788065 - task: type: Retrieval dataset: name: MTEB TRECCOVID type: mteb/trec-covid config: default split: test revision: None metrics: - type: map_at_1 value: 0.181 - type: map_at_10 value: 1.2 - type: map_at_100 value: 6.078 - type: map_at_1000 value: 14.940000000000001 - type: map_at_3 value: 0.45599999999999996 - type: map_at_5 value: 0.692 - type: mrr_at_1 value: 66.0 - type: mrr_at_10 value: 75.819 - type: mrr_at_100 value: 76.168 - type: mrr_at_1000 value: 76.168 - type: mrr_at_3 value: 72.667 - type: mrr_at_5 value: 74.86699999999999 - type: ndcg_at_1 value: 59.0 - type: ndcg_at_10 value: 52.60399999999999 - type: ndcg_at_100 value: 38.049 - type: ndcg_at_1000 value: 38.576 - type: ndcg_at_3 value: 57.235 - type: ndcg_at_5 value: 56.147000000000006 - type: precision_at_1 value: 66.0 - type: precision_at_10 value: 55.2 - type: precision_at_100 value: 38.78 - type: precision_at_1000 value: 16.986 - type: precision_at_3 value: 62.666999999999994 - type: precision_at_5 value: 60.8 - type: recall_at_1 value: 0.181 - type: recall_at_10 value: 1.471 - type: recall_at_100 value: 9.748999999999999 - type: recall_at_1000 value: 37.667 - type: recall_at_3 value: 0.49300000000000005 - type: recall_at_5 value: 0.7979999999999999 - type: map_at_1 value: 0.181 - type: map_at_10 value: 1.2 - type: map_at_100 value: 6.078 - type: map_at_1000 value: 14.940000000000001 - type: map_at_3 value: 0.45599999999999996 - type: map_at_5 value: 0.692 - type: mrr_at_1 value: 66.0 - type: mrr_at_10 value: 75.819 - type: mrr_at_100 value: 76.168 - type: mrr_at_1000 value: 76.168 - type: mrr_at_3 value: 72.667 - type: mrr_at_5 value: 74.86699999999999 - type: ndcg_at_1 value: 59.0 - type: ndcg_at_10 value: 52.60399999999999 - type: ndcg_at_100 value: 38.049 - type: ndcg_at_1000 value: 38.576 - type: ndcg_at_3 value: 57.235 - type: ndcg_at_5 value: 56.147000000000006 - type: precision_at_1 value: 66.0 - type: precision_at_10 value: 55.2 - type: precision_at_100 value: 38.78 - type: precision_at_1000 value: 16.986 - type: precision_at_3 value: 62.666999999999994 - type: precision_at_5 value: 60.8 - type: recall_at_1 value: 0.181 - type: recall_at_10 value: 1.471 - type: recall_at_100 value: 9.748999999999999 - type: recall_at_1000 value: 37.667 - type: recall_at_3 value: 0.49300000000000005 - type: recall_at_5 value: 0.7979999999999999 - task: type: Clustering dataset: name: MTEB ThuNewsClusteringS2S type: C-MTEB/ThuNewsClusteringS2S config: default split: test revision: 8a8b2caeda43f39e13c4bc5bea0f8a667896e10d metrics: - type: v_measure value: 77.04148998956299 - type: v_measure value: 77.04148998956299 - task: type: Retrieval dataset: name: MTEB Touche2020 type: mteb/touche2020 config: default split: test revision: a34f9a33db75fa0cbb21bb5cfc3dae8dc8bec93f metrics: - type: map_at_1 value: 1.936 - type: map_at_10 value: 8.942 - type: map_at_100 value: 14.475999999999999 - type: map_at_1000 value: 16.156000000000002 - type: map_at_3 value: 4.865 - type: map_at_5 value: 6.367000000000001 - type: mrr_at_1 value: 26.531 - type: mrr_at_10 value: 42.846000000000004 - type: mrr_at_100 value: 43.441 - type: mrr_at_1000 value: 43.441 - type: mrr_at_3 value: 36.735 - type: mrr_at_5 value: 40.510000000000005 - type: ndcg_at_1 value: 24.490000000000002 - type: ndcg_at_10 value: 23.262 - type: ndcg_at_100 value: 34.959 - type: ndcg_at_1000 value: 47.258 - type: ndcg_at_3 value: 25.27 - type: ndcg_at_5 value: 24.246000000000002 - type: precision_at_1 value: 26.531 - type: precision_at_10 value: 20.408 - type: precision_at_100 value: 7.306 - type: precision_at_1000 value: 1.541 - type: precision_at_3 value: 26.531 - type: precision_at_5 value: 24.082 - type: recall_at_1 value: 1.936 - type: recall_at_10 value: 15.712000000000002 - type: recall_at_100 value: 45.451 - type: recall_at_1000 value: 83.269 - type: recall_at_3 value: 6.442 - type: recall_at_5 value: 9.151 - type: map_at_1 value: 1.936 - type: map_at_10 value: 8.942 - type: map_at_100 value: 14.475999999999999 - type: map_at_1000 value: 16.156000000000002 - type: map_at_3 value: 4.865 - type: map_at_5 value: 6.367000000000001 - type: mrr_at_1 value: 26.531 - type: mrr_at_10 value: 42.846000000000004 - type: mrr_at_100 value: 43.441 - type: mrr_at_1000 value: 43.441 - type: mrr_at_3 value: 36.735 - type: mrr_at_5 value: 40.510000000000005 - type: ndcg_at_1 value: 24.490000000000002 - type: ndcg_at_10 value: 23.262 - type: ndcg_at_100 value: 34.959 - type: ndcg_at_1000 value: 47.258 - type: ndcg_at_3 value: 25.27 - type: ndcg_at_5 value: 24.246000000000002 - type: precision_at_1 value: 26.531 - type: precision_at_10 value: 20.408 - type: precision_at_100 value: 7.306 - type: precision_at_1000 value: 1.541 - type: precision_at_3 value: 26.531 - type: precision_at_5 value: 24.082 - type: recall_at_1 value: 1.936 - type: recall_at_10 value: 15.712000000000002 - type: recall_at_100 value: 45.451 - type: recall_at_1000 value: 83.269 - type: recall_at_3 value: 6.442 - type: recall_at_5 value: 9.151 - task: type: Classification dataset: name: MTEB ToxicConversationsClassification type: mteb/toxic_conversations_50k config: default split: test revision: d7c0de2777da35d6aae2200a62c6e0e5af397c4c metrics: - type: accuracy value: 86.564 - type: ap value: 34.58766846081731 - type: f1 value: 72.32759831978161 - type: accuracy value: 86.564 - type: ap value: 34.58766846081731 - type: f1 value: 72.32759831978161 - task: type: Classification dataset: name: MTEB TweetSentimentExtractionClassification type: mteb/tweet_sentiment_extraction config: default split: test revision: d604517c81ca91fe16a244d1248fc021f9ecee7a metrics: - type: accuracy value: 77.80418788907753 - type: f1 value: 78.1047638421972 - type: accuracy value: 77.80418788907753 - type: f1 value: 78.1047638421972 - task: type: Clustering dataset: name: MTEB TwentyNewsgroupsClustering type: mteb/twentynewsgroups-clustering config: default split: test revision: 6125ec4e24fa026cec8a478383ee943acfbd5449 metrics: - type: v_measure value: 59.20888659980063 - type: v_measure value: 59.20888659980063 - task: type: PairClassification dataset: name: MTEB TwitterSemEval2015 type: mteb/twittersemeval2015-pairclassification config: default split: test revision: 70970daeab8776df92f5ea462b6173c0b46fd2d1 metrics: - type: cos_sim_accuracy value: 85.45627943017226 - type: cos_sim_ap value: 72.25550061847534 - type: cos_sim_f1 value: 66.0611487783037 - type: cos_sim_precision value: 64.11720884032779 - type: cos_sim_recall value: 68.12664907651715 - type: dot_accuracy value: 85.45627943017226 - type: dot_ap value: 72.25574305366213 - type: dot_f1 value: 66.0611487783037 - type: dot_precision value: 64.11720884032779 - type: dot_recall value: 68.12664907651715 - type: euclidean_accuracy value: 85.45627943017226 - type: euclidean_ap value: 72.2557084446673 - type: euclidean_f1 value: 66.0611487783037 - type: euclidean_precision value: 64.11720884032779 - type: euclidean_recall value: 68.12664907651715 - type: manhattan_accuracy value: 85.32514752339513 - type: manhattan_ap value: 71.52919143472248 - type: manhattan_f1 value: 65.60288251190322 - type: manhattan_precision value: 64.02913840743531 - type: manhattan_recall value: 67.25593667546174 - type: max_accuracy value: 85.45627943017226 - type: max_ap value: 72.25574305366213 - type: max_f1 value: 66.0611487783037 - type: cos_sim_accuracy value: 85.45627943017226 - type: cos_sim_ap value: 72.25550061847534 - type: cos_sim_f1 value: 66.0611487783037 - type: cos_sim_precision value: 64.11720884032779 - type: cos_sim_recall value: 68.12664907651715 - type: dot_accuracy value: 85.45627943017226 - type: dot_ap value: 72.25574305366213 - type: dot_f1 value: 66.0611487783037 - type: dot_precision value: 64.11720884032779 - type: dot_recall value: 68.12664907651715 - type: euclidean_accuracy value: 85.45627943017226 - type: euclidean_ap value: 72.2557084446673 - type: euclidean_f1 value: 66.0611487783037 - type: euclidean_precision value: 64.11720884032779 - type: euclidean_recall value: 68.12664907651715 - type: manhattan_accuracy value: 85.32514752339513 - type: manhattan_ap value: 71.52919143472248 - type: manhattan_f1 value: 65.60288251190322 - type: manhattan_precision value: 64.02913840743531 - type: manhattan_recall value: 67.25593667546174 - type: max_accuracy value: 85.45627943017226 - type: max_ap value: 72.25574305366213 - type: max_f1 value: 66.0611487783037 - task: type: PairClassification dataset: name: MTEB TwitterURLCorpus type: mteb/twitterurlcorpus-pairclassification config: default split: test revision: 8b6510b0b1fa4e4c4f879467980e9be563ec1cdf metrics: - type: cos_sim_accuracy value: 88.34167733923235 - type: cos_sim_ap value: 84.58587730660244 - type: cos_sim_f1 value: 77.14170010676287 - type: cos_sim_precision value: 73.91181657848324 - type: cos_sim_recall value: 80.66676932553126 - type: dot_accuracy value: 88.34167733923235 - type: dot_ap value: 84.58585083616217 - type: dot_f1 value: 77.14170010676287 - type: dot_precision value: 73.91181657848324 - type: dot_recall value: 80.66676932553126 - type: euclidean_accuracy value: 88.34167733923235 - type: euclidean_ap value: 84.5858781355044 - type: euclidean_f1 value: 77.14170010676287 - type: euclidean_precision value: 73.91181657848324 - type: euclidean_recall value: 80.66676932553126 - type: manhattan_accuracy value: 88.28152287809989 - type: manhattan_ap value: 84.53184837110165 - type: manhattan_f1 value: 77.13582823915313 - type: manhattan_precision value: 74.76156069364161 - type: manhattan_recall value: 79.66584539574993 - type: max_accuracy value: 88.34167733923235 - type: max_ap value: 84.5858781355044 - type: max_f1 value: 77.14170010676287 - type: cos_sim_accuracy value: 88.34167733923235 - type: cos_sim_ap value: 84.58587730660244 - type: cos_sim_f1 value: 77.14170010676287 - type: cos_sim_precision value: 73.91181657848324 - type: cos_sim_recall value: 80.66676932553126 - type: dot_accuracy value: 88.34167733923235 - type: dot_ap value: 84.58585083616217 - type: dot_f1 value: 77.14170010676287 - type: dot_precision value: 73.91181657848324 - type: dot_recall value: 80.66676932553126 - type: euclidean_accuracy value: 88.34167733923235 - type: euclidean_ap value: 84.5858781355044 - type: euclidean_f1 value: 77.14170010676287 - type: euclidean_precision value: 73.91181657848324 - type: euclidean_recall value: 80.66676932553126 - type: manhattan_accuracy value: 88.28152287809989 - type: manhattan_ap value: 84.53184837110165 - type: manhattan_f1 value: 77.13582823915313 - type: manhattan_precision value: 74.76156069364161 - type: manhattan_recall value: 79.66584539574993 - type: max_accuracy value: 88.34167733923235 - type: max_ap value: 84.5858781355044 - type: max_f1 value: 77.14170010676287 - task: type: Retrieval dataset: name: MTEB VideoRetrieval type: C-MTEB/VideoRetrieval config: default split: dev revision: 58c2597a5943a2ba48f4668c3b90d796283c5639 metrics: - type: map_at_1 value: 66.10000000000001 - type: map_at_10 value: 75.238 - type: map_at_100 value: 75.559 - type: map_at_1000 value: 75.565 - type: map_at_3 value: 73.68299999999999 - type: map_at_5 value: 74.63300000000001 - type: mrr_at_1 value: 66.10000000000001 - type: mrr_at_10 value: 75.238 - type: mrr_at_100 value: 75.559 - type: mrr_at_1000 value: 75.565 - type: mrr_at_3 value: 73.68299999999999 - type: mrr_at_5 value: 74.63300000000001 - type: ndcg_at_1 value: 66.10000000000001 - type: ndcg_at_10 value: 79.25999999999999 - type: ndcg_at_100 value: 80.719 - type: ndcg_at_1000 value: 80.862 - type: ndcg_at_3 value: 76.08200000000001 - type: ndcg_at_5 value: 77.782 - type: precision_at_1 value: 66.10000000000001 - type: precision_at_10 value: 9.17 - type: precision_at_100 value: 0.983 - type: precision_at_1000 value: 0.099 - type: precision_at_3 value: 27.667 - type: precision_at_5 value: 17.419999999999998 - type: recall_at_1 value: 66.10000000000001 - type: recall_at_10 value: 91.7 - type: recall_at_100 value: 98.3 - type: recall_at_1000 value: 99.4 - type: recall_at_3 value: 83.0 - type: recall_at_5 value: 87.1 - type: map_at_1 value: 66.10000000000001 - type: map_at_10 value: 75.238 - type: map_at_100 value: 75.559 - type: map_at_1000 value: 75.565 - type: map_at_3 value: 73.68299999999999 - type: map_at_5 value: 74.63300000000001 - type: mrr_at_1 value: 66.10000000000001 - type: mrr_at_10 value: 75.238 - type: mrr_at_100 value: 75.559 - type: mrr_at_1000 value: 75.565 - type: mrr_at_3 value: 73.68299999999999 - type: mrr_at_5 value: 74.63300000000001 - type: ndcg_at_1 value: 66.10000000000001 - type: ndcg_at_10 value: 79.25999999999999 - type: ndcg_at_100 value: 80.719 - type: ndcg_at_1000 value: 80.862 - type: ndcg_at_3 value: 76.08200000000001 - type: ndcg_at_5 value: 77.782 - type: precision_at_1 value: 66.10000000000001 - type: precision_at_10 value: 9.17 - type: precision_at_100 value: 0.983 - type: precision_at_1000 value: 0.099 - type: precision_at_3 value: 27.667 - type: precision_at_5 value: 17.419999999999998 - type: recall_at_1 value: 66.10000000000001 - type: recall_at_10 value: 91.7 - type: recall_at_100 value: 98.3 - type: recall_at_1000 value: 99.4 - type: recall_at_3 value: 83.0 - type: recall_at_5 value: 87.1 - task: type: Classification dataset: name: MTEB Waimai type: C-MTEB/waimai-classification config: default split: test revision: 339287def212450dcaa9df8c22bf93e9980c7023 metrics: - type: accuracy value: 91.13 - type: ap value: 79.55231335947015 - type: f1 value: 89.63091922203914 - type: accuracy value: 91.13 - type: ap value: 79.55231335947015 - type: f1 value: 89.63091922203914 - task: type: Classification dataset: name: MTEB AmazonReviewsClassification (zh) type: mteb/amazon_reviews_multi config: zh split: test revision: 1399c76144fd37290681b995c656ef9b2e06e26d metrics: - type: accuracy value: 55.099999999999994 - type: f1 value: 53.115528412999666 - task: type: Classification dataset: name: MTEB MassiveIntentClassification (zh-CN) type: mteb/amazon_massive_intent config: zh-CN split: test revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7 metrics: - type: accuracy value: 79.88231338264963 - type: f1 value: 77.13536609019927 - task: type: Classification dataset: name: MTEB MassiveScenarioClassification (zh-CN) type: mteb/amazon_massive_scenario config: zh-CN split: test revision: 7d571f92784cd94a019292a1f45445077d0ef634 metrics: - type: accuracy value: 84.50571620712844 - type: f1 value: 83.4128768262944 - task: type: Reranking dataset: name: MTEB T2Reranking type: C-MTEB/T2Reranking config: default split: dev revision: 76631901a18387f85eaa53e5450019b87ad58ef9 metrics: - type: map value: 66.54177017978034 - type: mrr value: 76.76094292377299 - task: type: Retrieval dataset: name: MTEB T2Retrieval type: C-MTEB/T2Retrieval config: default split: dev revision: 8731a845f1bf500a4f111cf1070785c793d10e64 metrics: - type: map_at_1 value: 28.608 - type: map_at_10 value: 81.266 - type: map_at_100 value: 84.714 - type: map_at_1000 value: 84.758 - type: map_at_3 value: 56.967 - type: map_at_5 value: 70.14 - type: mrr_at_1 value: 91.881 - type: mrr_at_10 value: 94.11699999999999 - type: mrr_at_100 value: 94.178 - type: mrr_at_1000 value: 94.181 - type: mrr_at_3 value: 93.772 - type: mrr_at_5 value: 93.997 - type: ndcg_at_1 value: 91.881 - type: ndcg_at_10 value: 87.954 - type: ndcg_at_100 value: 90.904 - type: ndcg_at_1000 value: 91.326 - type: ndcg_at_3 value: 88.838 - type: ndcg_at_5 value: 87.764 - type: precision_at_1 value: 91.881 - type: precision_at_10 value: 43.628 - type: precision_at_100 value: 5.082 - type: precision_at_1000 value: 0.518 - type: precision_at_3 value: 77.62400000000001 - type: precision_at_5 value: 65.269 - type: recall_at_1 value: 28.608 - type: recall_at_10 value: 87.06 - type: recall_at_100 value: 96.815 - type: recall_at_1000 value: 98.969 - type: recall_at_3 value: 58.506 - type: recall_at_5 value: 73.21600000000001 - task: type: Clustering dataset: name: MTEB ThuNewsClusteringP2P type: C-MTEB/ThuNewsClusteringP2P config: default split: test revision: 5798586b105c0434e4f0fe5e767abe619442cf93 metrics: - type: v_measure value: 78.68783858143624 --- # CCwz/gme-Qwen2-VL-7B-Instruct-Q5_K_S-GGUF This model was converted to GGUF format from [`Alibaba-NLP/gme-Qwen2-VL-7B-Instruct`](https://huggingface.co/Alibaba-NLP/gme-Qwen2-VL-7B-Instruct) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space. Refer to the [original model card](https://huggingface.co/Alibaba-NLP/gme-Qwen2-VL-7B-Instruct) for more details on the model. ## Use with llama.cpp Install llama.cpp through brew (works on Mac and Linux) ```bash brew install llama.cpp ``` Invoke the llama.cpp server or the CLI. ### CLI: ```bash llama-cli --hf-repo CCwz/gme-Qwen2-VL-7B-Instruct-Q5_K_S-GGUF --hf-file gme-qwen2-vl-7b-instruct-q5_k_s.gguf -p "The meaning to life and the universe is" ``` ### Server: ```bash llama-server --hf-repo CCwz/gme-Qwen2-VL-7B-Instruct-Q5_K_S-GGUF --hf-file gme-qwen2-vl-7b-instruct-q5_k_s.gguf -c 2048 ``` Note: You can also use this checkpoint directly through the [usage steps](https://github.com/ggerganov/llama.cpp?tab=readme-ov-file#usage) listed in the Llama.cpp repo as well. Step 1: Clone llama.cpp from GitHub. ``` git clone https://github.com/ggerganov/llama.cpp ``` Step 2: Move into the llama.cpp folder and build it with `LLAMA_CURL=1` flag along with other hardware-specific flags (for ex: LLAMA_CUDA=1 for Nvidia GPUs on Linux). ``` cd llama.cpp && LLAMA_CURL=1 make ``` Step 3: Run inference through the main binary. ``` ./llama-cli --hf-repo CCwz/gme-Qwen2-VL-7B-Instruct-Q5_K_S-GGUF --hf-file gme-qwen2-vl-7b-instruct-q5_k_s.gguf -p "The meaning to life and the universe is" ``` or ``` ./llama-server --hf-repo CCwz/gme-Qwen2-VL-7B-Instruct-Q5_K_S-GGUF --hf-file gme-qwen2-vl-7b-instruct-q5_k_s.gguf -c 2048 ```