README.md

metadata

model-index:
  - name: stella_en_400M_v5_cpu
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          name: MTEB AmazonCounterfactualClassification (en)
          revision: e8379541af4e31359cca9fbcf4b00f2671dba205
          split: test
          type: mteb/amazon_counterfactual
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          - type: f1_weighted
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          - type: main_score
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        task:
          type: Classification
      - dataset:
          config: default
          name: MTEB AmazonPolarityClassification
          revision: e2d317d38cd51312af73b3d32a06d1a08b442046
          split: test
          type: mteb/amazon_polarity
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          - type: ap_weighted
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          - type: f1_weighted
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          - type: main_score
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        task:
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      - dataset:
          config: en
          name: MTEB AmazonReviewsClassification (en)
          revision: 1399c76144fd37290681b995c656ef9b2e06e26d
          split: test
          type: mteb/amazon_reviews_multi
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          - type: f1_weighted
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          - type: main_score
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        task:
          type: Classification
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          name: MTEB ArguAna
          revision: c22ab2a51041ffd869aaddef7af8d8215647e41a
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          type: mteb/arguana
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        task:
          type: Retrieval
      - dataset:
          config: default
          name: MTEB ArxivClusteringP2P
          revision: a122ad7f3f0291bf49cc6f4d32aa80929df69d5d
          split: test
          type: mteb/arxiv-clustering-p2p
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          - type: v_measure
            value: 55.1564333205451
          - type: v_measure_std
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        task:
          type: Clustering
      - dataset:
          config: default
          name: MTEB ArxivClusteringS2S
          revision: f910caf1a6075f7329cdf8c1a6135696f37dbd53
          split: test
          type: mteb/arxiv-clustering-s2s
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          - type: v_measure
            value: 49.823698316694795
          - type: v_measure_std
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        task:
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      - dataset:
          config: default
          name: MTEB AskUbuntuDupQuestions
          revision: 2000358ca161889fa9c082cb41daa8dcfb161a54
          split: test
          type: mteb/askubuntudupquestions-reranking
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        task:
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      - dataset:
          config: default
          name: MTEB BIOSSES
          revision: d3fb88f8f02e40887cd149695127462bbcf29b4a
          split: test
          type: mteb/biosses-sts
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          name: MTEB Banking77Classification
          revision: 0fd18e25b25c072e09e0d92ab615fda904d66300
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        task:
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          name: MTEB BiorxivClusteringP2P
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        task:
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        task:
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        task:
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        task:
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        task:
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          type: mteb/sickr-sts
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          type: mteb/sts12-sts
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          type: mteb/sts13-sts
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          type: mteb/sts14-sts
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          type: mteb/sts15-sts
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          type: mteb/sts16-sts
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            value: 85.206
          - type: ndcg_at_100
            value: 67.29
          - type: ndcg_at_1000
            value: 60.584
          - type: ndcg_at_20
            value: 82.321
          - type: ndcg_at_3
            value: 88.642
          - type: ndcg_at_5
            value: 87.063
          - type: precision_at_1
            value: 94
          - type: precision_at_10
            value: 89.8
          - type: precision_at_100
            value: 69.78
          - type: precision_at_1000
            value: 26.738
          - type: precision_at_20
            value: 87.2
          - type: precision_at_3
            value: 92
          - type: precision_at_5
            value: 90.8
          - type: recall_at_1
            value: 0.246
          - type: recall_at_10
            value: 2.344
          - type: recall_at_100
            value: 16.962
          - type: recall_at_1000
            value: 57.325
          - type: recall_at_20
            value: 4.517
          - type: recall_at_3
            value: 0.731
          - type: recall_at_5
            value: 1.1780000000000002
        task:
          type: Retrieval
      - dataset:
          config: default
          name: MTEB Touche2020
          revision: a34f9a33db75fa0cbb21bb5cfc3dae8dc8bec93f
          split: test
          type: mteb/touche2020
        metrics:
          - type: main_score
            value: 31.455
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            value: 2.9739999999999998
          - type: map_at_10
            value: 12.183
          - type: map_at_100
            value: 18.772
          - type: map_at_1000
            value: 20.415
          - type: map_at_20
            value: 14.451
          - type: map_at_3
            value: 6.507000000000001
          - type: map_at_5
            value: 8.66
          - type: mrr_at_1
            value: 40.816326530612244
          - type: mrr_at_10
            value: 57.70975056689341
          - type: mrr_at_100
            value: 58.18379126542391
          - type: mrr_at_1000
            value: 58.18379126542391
          - type: mrr_at_20
            value: 57.85552316164561
          - type: mrr_at_3
            value: 54.08163265306123
          - type: mrr_at_5
            value: 56.42857142857143
          - type: nauc_map_at_1000_diff1
            value: 3.1567471051481437
          - type: nauc_map_at_1000_max
            value: -1.5882060729791523
          - type: nauc_map_at_1000_std
            value: 18.69622198722074
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            value: 3.3449677678147536
          - type: nauc_map_at_100_max
            value: -2.8928606866168405
          - type: nauc_map_at_100_std
            value: 15.789984947653412
          - type: nauc_map_at_10_diff1
            value: 2.9696743570444264
          - type: nauc_map_at_10_max
            value: -9.096749212011876
          - type: nauc_map_at_10_std
            value: -5.38545817258353
          - type: nauc_map_at_1_diff1
            value: 20.680780404542546
          - type: nauc_map_at_1_max
            value: -7.04722927447817
          - type: nauc_map_at_1_std
            value: -7.062494733973898
          - type: nauc_map_at_20_diff1
            value: 4.070437790119271
          - type: nauc_map_at_20_max
            value: -4.84491434686032
          - type: nauc_map_at_20_std
            value: 0.5846341109021014
          - type: nauc_map_at_3_diff1
            value: 11.9634978045925
          - type: nauc_map_at_3_max
            value: -8.27834591046608
          - type: nauc_map_at_3_std
            value: -8.687615453381065
          - type: nauc_map_at_5_diff1
            value: 0.9195191526009436
          - type: nauc_map_at_5_max
            value: -1.673813362719489
          - type: nauc_map_at_5_std
            value: -6.67549753473631
          - type: nauc_mrr_at_1000_diff1
            value: 19.877993208719573
          - type: nauc_mrr_at_1000_max
            value: -10.37776706406218
          - type: nauc_mrr_at_1000_std
            value: 7.132169578056367
          - type: nauc_mrr_at_100_diff1
            value: 19.877993208719573
          - type: nauc_mrr_at_100_max
            value: -10.37776706406218
          - type: nauc_mrr_at_100_std
            value: 7.132169578056367
          - type: nauc_mrr_at_10_diff1
            value: 20.414285568401457
          - type: nauc_mrr_at_10_max
            value: -9.677800295687861
          - type: nauc_mrr_at_10_std
            value: 8.001103690180859
          - type: nauc_mrr_at_1_diff1
            value: 22.393284073955723
          - type: nauc_mrr_at_1_max
            value: -5.889370191243167
          - type: nauc_mrr_at_1_std
            value: -1.5183536173658247
          - type: nauc_mrr_at_20_diff1
            value: 20.455564720604055
          - type: nauc_mrr_at_20_max
            value: -10.230642830103074
          - type: nauc_mrr_at_20_std
            value: 7.863582453266621
          - type: nauc_mrr_at_3_diff1
            value: 17.554895390732618
          - type: nauc_mrr_at_3_max
            value: -15.618463505555052
          - type: nauc_mrr_at_3_std
            value: 5.913231577966864
          - type: nauc_mrr_at_5_diff1
            value: 18.393678507779914
          - type: nauc_mrr_at_5_max
            value: -11.903593353147762
          - type: nauc_mrr_at_5_std
            value: 7.580745996262831
          - type: nauc_ndcg_at_1000_diff1
            value: 13.746937095530473
          - type: nauc_ndcg_at_1000_max
            value: -0.9319249687895838
          - type: nauc_ndcg_at_1000_std
            value: 38.56328031451904
          - type: nauc_ndcg_at_100_diff1
            value: 13.854865944415895
          - type: nauc_ndcg_at_100_max
            value: -7.142142012591404
          - type: nauc_ndcg_at_100_std
            value: 35.61341954818848
          - type: nauc_ndcg_at_10_diff1
            value: 9.010144273248759
          - type: nauc_ndcg_at_10_max
            value: -15.320014897424574
          - type: nauc_ndcg_at_10_std
            value: 2.84883880489144
          - type: nauc_ndcg_at_1_diff1
            value: 20.939533945592967
          - type: nauc_ndcg_at_1_max
            value: -6.387319972188946
          - type: nauc_ndcg_at_1_std
            value: -0.5258673122126726
          - type: nauc_ndcg_at_20_diff1
            value: 14.660827309009496
          - type: nauc_ndcg_at_20_max
            value: -13.476196120145994
          - type: nauc_ndcg_at_20_std
            value: 8.22391881710838
          - type: nauc_ndcg_at_3_diff1
            value: 13.429985227235935
          - type: nauc_ndcg_at_3_max
            value: -14.904544592570247
          - type: nauc_ndcg_at_3_std
            value: 1.599779998183342
          - type: nauc_ndcg_at_5_diff1
            value: 8.085466231900622
          - type: nauc_ndcg_at_5_max
            value: -9.09591969526831
          - type: nauc_ndcg_at_5_std
            value: 3.5794092637248505
          - type: nauc_precision_at_1000_diff1
            value: -9.31941215946743
          - type: nauc_precision_at_1000_max
            value: 31.52913520470716
          - type: nauc_precision_at_1000_std
            value: 22.720784312185856
          - type: nauc_precision_at_100_diff1
            value: 8.958548406995279
          - type: nauc_precision_at_100_max
            value: 15.100597910674104
          - type: nauc_precision_at_100_std
            value: 71.04548238175113
          - type: nauc_precision_at_10_diff1
            value: 12.4698194690008
          - type: nauc_precision_at_10_max
            value: -15.84870544871496
          - type: nauc_precision_at_10_std
            value: 7.575297622501928
          - type: nauc_precision_at_1_diff1
            value: 22.393284073955723
          - type: nauc_precision_at_1_max
            value: -5.889370191243167
          - type: nauc_precision_at_1_std
            value: -1.5183536173658247
          - type: nauc_precision_at_20_diff1
            value: 15.393505718138758
          - type: nauc_precision_at_20_max
            value: -3.70684298539384
          - type: nauc_precision_at_20_std
            value: 29.426137824970304
          - type: nauc_precision_at_3_diff1
            value: 9.997768085465394
          - type: nauc_precision_at_3_max
            value: -17.12224314347674
          - type: nauc_precision_at_3_std
            value: -1.343018166772313
          - type: nauc_precision_at_5_diff1
            value: 3.8936997437913554
          - type: nauc_precision_at_5_max
            value: -5.689104289687632
          - type: nauc_precision_at_5_std
            value: 3.181098051304285
          - type: nauc_recall_at_1000_diff1
            value: 9.908303508158387
          - type: nauc_recall_at_1000_max
            value: 6.174506592699848
          - type: nauc_recall_at_1000_std
            value: 77.41931114780012
          - type: nauc_recall_at_100_diff1
            value: 10.286839241876192
          - type: nauc_recall_at_100_max
            value: -6.6138697026666815
          - type: nauc_recall_at_100_std
            value: 49.608313692633224
          - type: nauc_recall_at_10_diff1
            value: 2.215545846659851
          - type: nauc_recall_at_10_max
            value: -17.83025802478445
          - type: nauc_recall_at_10_std
            value: -3.3784768673705465
          - type: nauc_recall_at_1_diff1
            value: 20.680780404542546
          - type: nauc_recall_at_1_max
            value: -7.04722927447817
          - type: nauc_recall_at_1_std
            value: -7.062494733973898
          - type: nauc_recall_at_20_diff1
            value: 6.974410239251615
          - type: nauc_recall_at_20_max
            value: -14.161147924731646
          - type: nauc_recall_at_20_std
            value: 9.328412057721454
          - type: nauc_recall_at_3_diff1
            value: 7.904589805754212
          - type: nauc_recall_at_3_max
            value: -12.1912388648593
          - type: nauc_recall_at_3_std
            value: -9.221542013385555
          - type: nauc_recall_at_5_diff1
            value: -3.2604132752706914
          - type: nauc_recall_at_5_max
            value: -6.886351441658915
          - type: nauc_recall_at_5_std
            value: -7.014252851712789
          - type: ndcg_at_1
            value: 39.796
          - type: ndcg_at_10
            value: 31.455
          - type: ndcg_at_100
            value: 42.388999999999996
          - type: ndcg_at_1000
            value: 53.556000000000004
          - type: ndcg_at_20
            value: 30.808000000000003
          - type: ndcg_at_3
            value: 35.831
          - type: ndcg_at_5
            value: 32.845
          - type: precision_at_1
            value: 40.816
          - type: precision_at_10
            value: 27.143
          - type: precision_at_100
            value: 8.449
          - type: precision_at_1000
            value: 1.6179999999999999
          - type: precision_at_20
            value: 19.387999999999998
          - type: precision_at_3
            value: 35.374
          - type: precision_at_5
            value: 31.019999999999996
          - type: recall_at_1
            value: 2.9739999999999998
          - type: recall_at_10
            value: 19.39
          - type: recall_at_100
            value: 51.636
          - type: recall_at_1000
            value: 86.99900000000001
          - type: recall_at_20
            value: 26.478
          - type: recall_at_3
            value: 7.703
          - type: recall_at_5
            value: 11.42
        task:
          type: Retrieval
      - dataset:
          config: default
          name: MTEB ToxicConversationsClassification
          revision: edfaf9da55d3dd50d43143d90c1ac476895ae6de
          split: test
          type: mteb/toxic_conversations_50k
        metrics:
          - type: accuracy
            value: 86.9384765625
          - type: ap
            value: 31.737513704141552
          - type: ap_weighted
            value: 31.737513704141552
          - type: f1
            value: 71.5490757306975
          - type: f1_weighted
            value: 89.14632533489856
          - type: main_score
            value: 86.9384765625
        task:
          type: Classification
      - dataset:
          config: default
          name: MTEB TweetSentimentExtractionClassification
          revision: d604517c81ca91fe16a244d1248fc021f9ecee7a
          split: test
          type: mteb/tweet_sentiment_extraction
        metrics:
          - type: accuracy
            value: 73.57668364459535
          - type: f1
            value: 73.90467103648074
          - type: f1_weighted
            value: 73.42158415034704
          - type: main_score
            value: 73.57668364459535
        task:
          type: Classification
      - dataset:
          config: default
          name: MTEB TwentyNewsgroupsClustering
          revision: 6125ec4e24fa026cec8a478383ee943acfbd5449
          split: test
          type: mteb/twentynewsgroups-clustering
        metrics:
          - type: main_score
            value: 58.574148097494685
          - type: v_measure
            value: 58.574148097494685
          - type: v_measure_std
            value: 0.9443161637490822
        task:
          type: Clustering
      - dataset:
          config: default
          name: MTEB TwitterSemEval2015
          revision: 70970daeab8776df92f5ea462b6173c0b46fd2d1
          split: test
          type: mteb/twittersemeval2015-pairclassification
        metrics:
          - type: cosine_accuracy
            value: 88.1385229778864
          - type: cosine_accuracy_threshold
            value: 83.86307954788208
          - type: cosine_ap
            value: 80.17965893449055
          - type: cosine_f1
            value: 73.0614300100705
          - type: cosine_f1_threshold
            value: 80.7942807674408
          - type: cosine_precision
            value: 69.8603755416466
          - type: cosine_recall
            value: 76.56992084432717
          - type: dot_accuracy
            value: 88.2100494724921
          - type: dot_accuracy_threshold
            value: 83.84793996810913
          - type: dot_ap
            value: 80.18603932881858
          - type: dot_f1
            value: 73.07643714466204
          - type: dot_f1_threshold
            value: 80.87586164474487
          - type: dot_precision
            value: 70.10909090909091
          - type: dot_recall
            value: 76.3060686015831
          - type: euclidean_accuracy
            value: 88.1385229778864
          - type: euclidean_accuracy_threshold
            value: 56.77661895751953
          - type: euclidean_ap
            value: 80.1784070881624
          - type: euclidean_f1
            value: 73.04830369529574
          - type: euclidean_f1_threshold
            value: 61.91838979721069
          - type: euclidean_precision
            value: 69.96859144720948
          - type: euclidean_recall
            value: 76.41160949868075
          - type: main_score
            value: 80.18603932881858
          - type: manhattan_accuracy
            value: 88.0431543184121
          - type: manhattan_accuracy_threshold
            value: 3755.6137084960938
          - type: manhattan_ap
            value: 79.98270453664578
          - type: manhattan_f1
            value: 72.68242015061023
          - type: manhattan_f1_threshold
            value: 3892.494583129883
          - type: manhattan_precision
            value: 71.54907975460122
          - type: manhattan_recall
            value: 73.85224274406332
          - type: max_ap
            value: 80.18603932881858
          - type: max_f1
            value: 73.07643714466204
          - type: max_precision
            value: 71.54907975460122
          - type: max_recall
            value: 76.56992084432717
          - type: similarity_accuracy
            value: 88.1385229778864
          - type: similarity_accuracy_threshold
            value: 83.86307954788208
          - type: similarity_ap
            value: 80.17965893449055
          - type: similarity_f1
            value: 73.0614300100705
          - type: similarity_f1_threshold
            value: 80.7942807674408
          - type: similarity_precision
            value: 69.8603755416466
          - type: similarity_recall
            value: 76.56992084432717
        task:
          type: PairClassification
      - dataset:
          config: default
          name: MTEB TwitterURLCorpus
          revision: 8b6510b0b1fa4e4c4f879467980e9be563ec1cdf
          split: test
          type: mteb/twitterurlcorpus-pairclassification
        metrics:
          - type: cosine_accuracy
            value: 89.7892653393876
          - type: cosine_accuracy_threshold
            value: 79.69566583633423
          - type: cosine_ap
            value: 87.4579867302024
          - type: cosine_f1
            value: 79.91620843152658
          - type: cosine_f1_threshold
            value: 78.53609323501587
          - type: cosine_precision
            value: 77.7155329210622
          - type: cosine_recall
            value: 82.24514936864799
          - type: dot_accuracy
            value: 89.78732487289945
          - type: dot_accuracy_threshold
            value: 80.05315661430359
          - type: dot_ap
            value: 87.44916182456272
          - type: dot_f1
            value: 79.90419878751591
          - type: dot_f1_threshold
            value: 78.57890725135803
          - type: dot_precision
            value: 77.73409057812728
          - type: dot_recall
            value: 82.19895287958116
          - type: euclidean_accuracy
            value: 89.78538440641131
          - type: euclidean_accuracy_threshold
            value: 62.29925751686096
          - type: euclidean_ap
            value: 87.45904868911386
          - type: euclidean_f1
            value: 79.93127404474657
          - type: euclidean_f1_threshold
            value: 65.61101078987122
          - type: euclidean_precision
            value: 77.62060210373595
          - type: euclidean_recall
            value: 82.38373883584848
          - type: main_score
            value: 87.46554314325058
          - type: manhattan_accuracy
            value: 89.76597974152986
          - type: manhattan_accuracy_threshold
            value: 3988.5299682617188
          - type: manhattan_ap
            value: 87.46554314325058
          - type: manhattan_f1
            value: 79.97181740645973
          - type: manhattan_f1_threshold
            value: 4235.905838012695
          - type: manhattan_precision
            value: 77.13713427283783
          - type: manhattan_recall
            value: 83.02279026793964
          - type: max_ap
            value: 87.46554314325058
          - type: max_f1
            value: 79.97181740645973
          - type: max_precision
            value: 77.73409057812728
          - type: max_recall
            value: 83.02279026793964
          - type: similarity_accuracy
            value: 89.7892653393876
          - type: similarity_accuracy_threshold
            value: 79.69566583633423
          - type: similarity_ap
            value: 87.4579867302024
          - type: similarity_f1
            value: 79.91620843152658
          - type: similarity_f1_threshold
            value: 78.53609323501587
          - type: similarity_precision
            value: 77.7155329210622
          - type: similarity_recall
            value: 82.24514936864799
        task:
          type: PairClassification
tags:
  - mteb
  - sentence-transformers
  - transformers
  - sentence-similarity
license: mit

Introduction

It's clone from 'dunzhang/stella_en_400M_v5'. This version is changing the code for only using CPU for inference.