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Nomic Embed Text v1.5 | ST Studio

name: epoch_0_model results:

task: type: Classification dataset: type: mteb/amazon_counterfactual name: MTEB AmazonCounterfactualClassification (en) config: en split: test revision: e8379541af4e31359cca9fbcf4b00f2671dba205 metrics:
- type: accuracy value: 75.20895522388058
- type: ap value: 38.57605549557802
- type: f1 value: 69.35586565857854
task: type: Classification dataset: type: mteb/amazon_polarity name: MTEB AmazonPolarityClassification config: default split: test revision: e2d317d38cd51312af73b3d32a06d1a08b442046 metrics:
- type: accuracy value: 91.8144
- type: ap value: 88.65222882032363
- type: f1 value: 91.80426301643274
task: type: Classification dataset: type: mteb/amazon_reviews_multi name: MTEB AmazonReviewsClassification (en) config: en split: test revision: 1399c76144fd37290681b995c656ef9b2e06e26d metrics:
- type: accuracy value: 47.162000000000006
- type: f1 value: 46.59329642263158
task: type: Retrieval dataset: type: arguana name: MTEB ArguAna config: default split: test revision: None metrics:
- type: map_at_1 value: 24.253
- type: map_at_10 value: 38.962
- type: map_at_100 value: 40.081
- type: map_at_1000 value: 40.089000000000006
- type: map_at_3 value: 33.499
- type: map_at_5 value: 36.351
- type: mrr_at_1 value: 24.609
- type: mrr_at_10 value: 39.099000000000004
- type: mrr_at_100 value: 40.211000000000006
- type: mrr_at_1000 value: 40.219
- type: mrr_at_3 value: 33.677
- type: mrr_at_5 value: 36.469
- type: ndcg_at_1 value: 24.253
- type: ndcg_at_10 value: 48.010999999999996
- type: ndcg_at_100 value: 52.756
- type: ndcg_at_1000 value: 52.964999999999996
- type: ndcg_at_3 value: 36.564
- type: ndcg_at_5 value: 41.711999999999996
- type: precision_at_1 value: 24.253
- type: precision_at_10 value: 7.738
- type: precision_at_100 value: 0.98
- type: precision_at_1000 value: 0.1
- type: precision_at_3 value: 15.149000000000001
- type: precision_at_5 value: 11.593
- type: recall_at_1 value: 24.253
- type: recall_at_10 value: 77.383
- type: recall_at_100 value: 98.009
- type: recall_at_1000 value: 99.644
- type: recall_at_3 value: 45.448
- type: recall_at_5 value: 57.965999999999994
task: type: Clustering dataset: type: mteb/arxiv-clustering-p2p name: MTEB ArxivClusteringP2P config: default split: test revision: a122ad7f3f0291bf49cc6f4d32aa80929df69d5d metrics:
- type: v_measure value: 45.69069567851087
task: type: Clustering dataset: type: mteb/arxiv-clustering-s2s name: MTEB ArxivClusteringS2S config: default split: test revision: f910caf1a6075f7329cdf8c1a6135696f37dbd53 metrics:
- type: v_measure value: 36.35185490976283
task: type: Reranking dataset: type: mteb/askubuntudupquestions-reranking name: MTEB AskUbuntuDupQuestions config: default split: test revision: 2000358ca161889fa9c082cb41daa8dcfb161a54 metrics:
- type: map value: 61.71274951450321
- type: mrr value: 76.06032625423207
task: type: STS dataset: type: mteb/biosses-sts name: MTEB BIOSSES config: default split: test revision: d3fb88f8f02e40887cd149695127462bbcf29b4a metrics:
- type: cos_sim_pearson value: 86.73980520022269
- type: cos_sim_spearman value: 84.24649792685918
- type: euclidean_pearson value: 85.85197641158186
- type: euclidean_spearman value: 84.24649792685918
- type: manhattan_pearson value: 86.26809552711346
- type: manhattan_spearman value: 84.56397504030865
task: type: Classification dataset: type: mteb/banking77 name: MTEB Banking77Classification config: default split: test revision: 0fd18e25b25c072e09e0d92ab615fda904d66300 metrics:
- type: accuracy value: 84.25324675324674
- type: f1 value: 84.17872280892557
task: type: Clustering dataset: type: mteb/biorxiv-clustering-p2p name: MTEB BiorxivClusteringP2P config: default split: test revision: 65b79d1d13f80053f67aca9498d9402c2d9f1f40 metrics:
- type: v_measure value: 38.770253446400886
task: type: Clustering dataset: type: mteb/biorxiv-clustering-s2s name: MTEB BiorxivClusteringS2S config: default split: test revision: 258694dd0231531bc1fd9de6ceb52a0853c6d908 metrics:
- type: v_measure value: 32.94307095497281
task: type: Retrieval dataset: type: BeIR/cqadupstack name: MTEB CQADupstackAndroidRetrieval config: default split: test revision: None metrics:
- type: map_at_1 value: 32.164
- type: map_at_10 value: 42.641
- type: map_at_100 value: 43.947
- type: map_at_1000 value: 44.074999999999996
- type: map_at_3 value: 39.592
- type: map_at_5 value: 41.204
- type: mrr_at_1 value: 39.628
- type: mrr_at_10 value: 48.625
- type: mrr_at_100 value: 49.368
- type: mrr_at_1000 value: 49.413000000000004
- type: mrr_at_3 value: 46.400000000000006
- type: mrr_at_5 value: 47.68
- type: ndcg_at_1 value: 39.628
- type: ndcg_at_10 value: 48.564
- type: ndcg_at_100 value: 53.507000000000005
- type: ndcg_at_1000 value: 55.635999999999996
- type: ndcg_at_3 value: 44.471
- type: ndcg_at_5 value: 46.137
- type: precision_at_1 value: 39.628
- type: precision_at_10 value: 8.856
- type: precision_at_100 value: 1.429
- type: precision_at_1000 value: 0.191
- type: precision_at_3 value: 21.268
- type: precision_at_5 value: 14.649000000000001
- type: recall_at_1 value: 32.164
- type: recall_at_10 value: 59.609
- type: recall_at_100 value: 80.521
- type: recall_at_1000 value: 94.245
- type: recall_at_3 value: 46.521
- type: recall_at_5 value: 52.083999999999996
task: type: Retrieval dataset: type: BeIR/cqadupstack name: MTEB CQADupstackEnglishRetrieval config: default split: test revision: None metrics:
- type: map_at_1 value: 31.526
- type: map_at_10 value: 41.581
- type: map_at_100 value: 42.815999999999995
- type: map_at_1000 value: 42.936
- type: map_at_3 value: 38.605000000000004
- type: map_at_5 value: 40.351
- type: mrr_at_1 value: 39.489999999999995
- type: mrr_at_10 value: 47.829
- type: mrr_at_100 value: 48.512
- type: mrr_at_1000 value: 48.552
- type: mrr_at_3 value: 45.754
- type: mrr_at_5 value: 46.986
- type: ndcg_at_1 value: 39.489999999999995
- type: ndcg_at_10 value: 47.269
- type: ndcg_at_100 value: 51.564
- type: ndcg_at_1000 value: 53.53099999999999
- type: ndcg_at_3 value: 43.301
- type: ndcg_at_5 value: 45.239000000000004
- type: precision_at_1 value: 39.489999999999995
- type: precision_at_10 value: 8.93
- type: precision_at_100 value: 1.415
- type: precision_at_1000 value: 0.188
- type: precision_at_3 value: 20.892
- type: precision_at_5 value: 14.865999999999998
- type: recall_at_1 value: 31.526
- type: recall_at_10 value: 56.76
- type: recall_at_100 value: 75.029
- type: recall_at_1000 value: 87.491
- type: recall_at_3 value: 44.786
- type: recall_at_5 value: 50.254
task: type: Retrieval dataset: type: BeIR/cqadupstack name: MTEB CQADupstackGamingRetrieval config: default split: test revision: None metrics:
- type: map_at_1 value: 40.987
- type: map_at_10 value: 52.827
- type: map_at_100 value: 53.751000000000005
- type: map_at_1000 value: 53.81
- type: map_at_3 value: 49.844
- type: map_at_5 value: 51.473
- type: mrr_at_1 value: 46.833999999999996
- type: mrr_at_10 value: 56.389
- type: mrr_at_100 value: 57.003
- type: mrr_at_1000 value: 57.034
- type: mrr_at_3 value: 54.17999999999999
- type: mrr_at_5 value: 55.486999999999995
- type: ndcg_at_1 value: 46.833999999999996
- type: ndcg_at_10 value: 58.372
- type: ndcg_at_100 value: 62.068
- type: ndcg_at_1000 value: 63.288
- type: ndcg_at_3 value: 53.400000000000006
- type: ndcg_at_5 value: 55.766000000000005
- type: precision_at_1 value: 46.833999999999996
- type: precision_at_10 value: 9.191
- type: precision_at_100 value: 1.192
- type: precision_at_1000 value: 0.134
- type: precision_at_3 value: 23.448
- type: precision_at_5 value: 15.862000000000002
- type: recall_at_1 value: 40.987
- type: recall_at_10 value: 71.146
- type: recall_at_100 value: 87.035
- type: recall_at_1000 value: 95.633
- type: recall_at_3 value: 58.025999999999996
- type: recall_at_5 value: 63.815999999999995
task: type: Retrieval dataset: type: BeIR/cqadupstack name: MTEB CQADupstackGisRetrieval config: default split: test revision: None metrics:
- type: map_at_1 value: 24.587
- type: map_at_10 value: 33.114
- type: map_at_100 value: 34.043
- type: map_at_1000 value: 34.123999999999995
- type: map_at_3 value: 30.45
- type: map_at_5 value: 31.813999999999997
- type: mrr_at_1 value: 26.554
- type: mrr_at_10 value: 35.148
- type: mrr_at_100 value: 35.926
- type: mrr_at_1000 value: 35.991
- type: mrr_at_3 value: 32.599000000000004
- type: mrr_at_5 value: 33.893
- type: ndcg_at_1 value: 26.554
- type: ndcg_at_10 value: 38.132
- type: ndcg_at_100 value: 42.78
- type: ndcg_at_1000 value: 44.919
- type: ndcg_at_3 value: 32.833
- type: ndcg_at_5 value: 35.168
- type: precision_at_1 value: 26.554
- type: precision_at_10 value: 5.921
- type: precision_at_100 value: 0.8659999999999999
- type: precision_at_1000 value: 0.109
- type: precision_at_3 value: 13.861
- type: precision_at_5 value: 9.605
- type: recall_at_1 value: 24.587
- type: recall_at_10 value: 51.690000000000005
- type: recall_at_100 value: 73.428
- type: recall_at_1000 value: 89.551
- type: recall_at_3 value: 37.336999999999996
- type: recall_at_5 value: 43.047000000000004
task: type: Retrieval dataset: type: BeIR/cqadupstack name: MTEB CQADupstackMathematicaRetrieval config: default split: test revision: None metrics:
- type: map_at_1 value: 16.715
- type: map_at_10 value: 24.251
- type: map_at_100...

Readme11 de jul.huggingface.co/nomic-ai/nomic-embed-text-v1.5

--- library_name: sentence-transformers pipeline_tag: sentence-similarity tags: - feature-extraction - sentence-similarity - mteb - transformers - transformers.js model-index: - name: epoch_0_model results: - task: type: Classification dataset: type: mteb/amazon_counterfactual name: MTEB AmazonCounterfactualClassification (en) config: en split: test revision: e8379541af4e31359cca9fbcf4b00f2671dba205 metrics: - type: accuracy value: 75.20895522388058 - type: ap value: 38.57605549557802 - type: f1 value: 69.35586565857854 - task: type: Classification dataset: type: mteb/amazon_polarity name: MTEB AmazonPolarityClassification config: default split: test revision: e2d317d38cd51312af73b3d32a06d1a08b442046 metrics: - type: accuracy value: 91.8144 - type: ap value: 88.65222882032363 - type: f1 value: 91.80426301643274 - task: type: Classification dataset: type: mteb/amazon_reviews_multi name: MTEB AmazonReviewsClassification (en) config: en split: test revision: 1399c76144fd37290681b995c656ef9b2e06e26d metrics: - type: accuracy value: 47.162000000000006 - type: f1 value: 46.59329642263158 - task: type: Retrieval dataset: type: arguana name: MTEB ArguAna config: default split: test revision: None metrics: - type: map_at_1 value: 24.253 - type: map_at_10 value: 38.962 - type: map_at_100 value: 40.081 - type: map_at_1000 value: 40.089000000000006 - type: map_at_3 value: 33.499 - type: map_at_5 value: 36.351 - type: mrr_at_1 value: 24.609 - type: mrr_at_10 value: 39.099000000000004 - type: mrr_at_100 value: 40.211000000000006 - type: mrr_at_1000 value: 40.219 - type: mrr_at_3 value: 33.677 - type: mrr_at_5 value: 36.469 - type: ndcg_at_1 value: 24.253 - type: ndcg_at_10 value: 48.010999999999996 - type: ndcg_at_100 value: 52.756 - type: ndcg_at_1000 value: 52.964999999999996 - type: ndcg_at_3 value: 36.564 - type: ndcg_at_5 value: 41.711999999999996 - type: precision_at_1 value: 24.253 - type: precision_at_10 value: 7.738 - type: precision_at_100 value: 0.98 - type: precision_at_1000 value: 0.1 - type: precision_at_3 value: 15.149000000000001 - type: precision_at_5 value: 11.593 - type: recall_at_1 value: 24.253 - type: recall_at_10 value: 77.383 - type: recall_at_100 value: 98.009 - type: recall_at_1000 value: 99.644 - type: recall_at_3 value: 45.448 - ty...