Update README.md

README.md

@@ -1,8 +1,760 @@
 ---
-library_name: transformers
-tags: []
+model-index:
+- name: no_model_name_available
+  results:
+  - dataset:
+      config: en
+      name: MTEB MassiveScenarioClassification
+      revision: fad2c6e8459f9e1c45d9315f4953d921437d70f8
+      split: test
+      type: mteb/amazon_massive_scenario
+    metrics:
+      - type: accuracy
+        value: 0.7591123066577001
+    task:
+      type: Classification
+  - dataset:
+      config: default
+      name: MTEB ImdbClassification
+      revision: 3d86128a09e091d6018b6d26cad27f2739fc2db7
+      split: test
+      type: mteb/imdb
+    metrics:
+      - type: accuracy
+        value: 0.737088
+    task:
+      type: Classification
+  - dataset:
+      config: default
+      name: MTEB SCIDOCS
+      revision: f8c2fcf00f625baaa80f62ec5bd9e1fff3b8ae88
+      split: test
+      type: mteb/scidocs
+    metrics:
+      - type: ndcg_at_10
+        value: 0.14645
+    task:
+      type: Retrieval
+  - dataset:
+      config: default
+      name: MTEB BIOSSES
+      revision: d3fb88f8f02e40887cd149695127462bbcf29b4a
+      split: test
+      type: mteb/biosses-sts
+    metrics:
+      - type: cosine_spearman
+        value: 0.7433663356966029
+    task:
+      type: STS
+  - dataset:
+      config: default
+      name: MTEB TwentyNewsgroupsClustering
+      revision: 6125ec4e24fa026cec8a478383ee943acfbd5449
+      split: test
+      type: mteb/twentynewsgroups-clustering
+    metrics:
+      - type: v_measure
+        value: 0.4597050473156563
+    task:
+      type: Clustering
+  - dataset:
+      config: default
+      name: MTEB FEVER
+      revision: bea83ef9e8fb933d90a2f1d5515737465d613e12
+      split: test
+      type: mteb/fever
+    metrics:
+      - type: ndcg_at_10
+        value: 0.25419
+    task:
+      type: Retrieval
+  - dataset:
+      config: default
+      name: MTEB TwitterSemEval2015
+      revision: 70970daeab8776df92f5ea462b6173c0b46fd2d1
+      split: test
+      type: mteb/twittersemeval2015-pairclassification
+    metrics:
+      - type: ap
+        value: 0.6721556260260827
+    task:
+      type: PairClassification
+  - dataset:
+      config: default
+      name: MTEB NFCorpus
+      revision: ec0fa4fe99da2ff19ca1214b7966684033a58814
+      split: test
+      type: mteb/nfcorpus
+    metrics:
+      - type: ndcg_at_10
+        value: 0.23269
+    task:
+      type: Retrieval
+  - dataset:
+      config: default
+      name: MTEB HotpotQA
+      revision: ab518f4d6fcca38d87c25209f94beba119d02014
+      split: test
+      type: mteb/hotpotqa
+    metrics:
+      - type: ndcg_at_10
+        value: 0.29778
+    task:
+      type: Retrieval
+  - dataset:
+      config: default
+      name: MTEB STS15
+      revision: ae752c7c21bf194d8b67fd573edf7ae58183cbe3
+      split: test
+      type: mteb/sts15-sts
+    metrics:
+      - type: cosine_spearman
+        value: 0.8236097824265283
+    task:
+      type: STS
+  - dataset:
+      config: default
+      name: MTEB CQADupstackMathematicaRetrieval
+      revision: 90fceea13679c63fe563ded68f3b6f06e50061de
+      split: test
+      type: mteb/cqadupstack-mathematica
+    metrics:
+      - type: ndcg_at_10
+        value: 0.1537
+    task:
+      type: Retrieval
+  - dataset:
+      config: default
+      name: MTEB CQADupstackEnglishRetrieval
+      revision: ad9991cb51e31e31e430383c75ffb2885547b5f0
+      split: test
+      type: mteb/cqadupstack-english
+    metrics:
+      - type: ndcg_at_10
+        value: 0.24932
+    task:
+      type: Retrieval
+  - dataset:
+      config: default
+      name: MTEB ArxivClusteringP2P
+      revision: a122ad7f3f0291bf49cc6f4d32aa80929df69d5d
+      split: test
+      type: mteb/arxiv-clustering-p2p
+    metrics:
+      - type: v_measure
+        value: 0.44358822700946515
+    task:
+      type: Clustering
+  - dataset:
+      config: default
+      name: MTEB FiQA2018
+      revision: 27a168819829fe9bcd655c2df245fb19452e8e06
+      split: test
+      type: mteb/fiqa
+    metrics:
+      - type: ndcg_at_10
+        value: 0.15899
+    task:
+      type: Retrieval
+  - dataset:
+      config: default
+      name: MTEB SciDocsRR
+      revision: d3c5e1fc0b855ab6097bf1cda04dd73947d7caab
+      split: test
+      type: mteb/scidocs-reranking
+    metrics:
+      - type: map
+        value: 0.7885898217382544
+    task:
+      type: Reranking
+  - dataset:
+      config: default
+      name: MTEB RedditClustering
+      revision: 24640382cdbf8abc73003fb0fa6d111a705499eb
+      split: test
+      type: mteb/reddit-clustering
+    metrics:
+      - type: v_measure
+        value: 0.4966068486651516
+    task:
+      type: Clustering
+  - dataset:
+      config: default
+      name: MTEB Touche2020
+      revision: a34f9a33db75fa0cbb21bb5cfc3dae8dc8bec93f
+      split: test
+      type: mteb/touche2020
+    metrics:
+      - type: ndcg_at_10
+        value: 0.12018
+    task:
+      type: Retrieval
+  - dataset:
+      config: en
+      name: MTEB MTOPDomainClassification
+      revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf
+      split: test
+      type: mteb/mtop_domain
+    metrics:
+      - type: accuracy
+        value: 0.925079799361605
+    task:
+      type: Classification
+  - dataset:
+      config: default
+      name: MTEB Banking77Classification
+      revision: 0fd18e25b25c072e09e0d92ab615fda904d66300
+      split: test
+      type: mteb/banking77
+    metrics:
+      - type: accuracy
+        value: 0.8135064935064935
+    task:
+      type: Classification
+  - dataset:
+      config: default
+      name: MTEB SummEval
+      revision: cda12ad7615edc362dbf25a00fdd61d3b1eaf93c
+      split: test
+      type: mteb/summeval
+    metrics:
+      - type: cosine_spearman
+        value: 0.2889324869563879
+    task:
+      type: Summarization
+  - dataset:
+      config: default
+      name: MTEB TwitterURLCorpus
+      revision: 8b6510b0b1fa4e4c4f879467980e9be563ec1cdf
+      split: test
+      type: mteb/twitterurlcorpus-pairclassification
+    metrics:
+      - type: ap
+        value: 0.8389671787853494
+    task:
+      type: PairClassification
+  - dataset:
+      config: en-en
+      name: MTEB STS17
+      revision: faeb762787bd10488a50c8b5be4a3b82e411949c
+      split: test
+      type: mteb/sts17-crosslingual-sts
+    metrics:
+      - type: cosine_spearman
+        value: 0.8952714837442336
+    task:
+      type: STS
+  - dataset:
+      config: default
+      name: MTEB ArxivClusteringS2S
+      revision: f910caf1a6075f7329cdf8c1a6135696f37dbd53
+      split: test
+      type: mteb/arxiv-clustering-s2s
+    metrics:
+      - type: v_measure
+        value: 0.37137555761396807
+    task:
+      type: Clustering
+  - dataset:
+      config: default
+      name: MTEB CQADupstackWebmastersRetrieval
+      revision: 160c094312a0e1facb97e55eeddb698c0abe3571
+      split: test
+      type: mteb/cqadupstack-webmasters
+    metrics:
+      - type: ndcg_at_10
+        value: 0.25273
+    task:
+      type: Retrieval
+  - dataset:
+      config: en
+      name: MTEB AmazonCounterfactualClassification
+      revision: e8379541af4e31359cca9fbcf4b00f2671dba205
+      split: test
+      type: mteb/amazon_counterfactual
+    metrics:
+      - type: accuracy
+        value: 0.6864179104477611
+    task:
+      type: Classification
+  - dataset:
+      config: default
+      name: MTEB MindSmallReranking
+      revision: 59042f120c80e8afa9cdbb224f67076cec0fc9a7
+      split: test
+      type: mteb/mind_small
+    metrics:
+      - type: map
+        value: 0.30932148624587386
+    task:
+      type: Reranking
+  - dataset:
+      config: default
+      name: MTEB MSMARCO
+      revision: c5a29a104738b98a9e76336939199e264163d4a0
+      split: dev
+      type: mteb/msmarco
+    metrics:
+      - type: ndcg_at_10
+        value: 0.20298
+    task:
+      type: Retrieval
+  - dataset:
+      config: default
+      name: MTEB STS13
+      revision: 7e90230a92c190f1bf69ae9002b8cea547a64cca
+      split: test
+      type: mteb/sts13-sts
+    metrics:
+      - type: cosine_spearman
+        value: 0.8282788944395595
+    task:
+      type: STS
+  - dataset:
+      config: default
+      name: MTEB StackOverflowDupQuestions
+      revision: e185fbe320c72810689fc5848eb6114e1ef5ec69
+      split: test
+      type: mteb/stackoverflowdupquestions-reranking
+    metrics:
+      - type: map
+        value: 0.4666186087388775
+    task:
+      type: Reranking
+  - dataset:
+      config: en
+      name: MTEB STS22
+      revision: de9d86b3b84231dc21f76c7b7af1f28e2f57f6e3
+      split: test
+      type: mteb/sts22-crosslingual-sts
+    metrics:
+      - type: cosine_spearman
+        value: 0.6528643554148379
+    task:
+      type: STS
+  - dataset:
+      config: en
+      name: MTEB MTOPIntentClassification
+      revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba
+      split: test
+      type: mteb/mtop_intent
+    metrics:
+      - type: accuracy
+        value: 0.6971044231646147
+    task:
+      type: Classification
+  - dataset:
+      config: default
+      name: MTEB RedditClusteringP2P
+      revision: 385e3cb46b4cfa89021f56c4380204149d0efe33
+      split: test
+      type: mteb/reddit-clustering-p2p
+    metrics:
+      - type: v_measure
+        value: 0.5520754883265135
+    task:
+      type: Clustering
+  - dataset:
+      config: default
+      name: MTEB CQADupstackUnixRetrieval
+      revision: 6c6430d3a6d36f8d2a829195bc5dc94d7e063e53
+      split: test
+      type: mteb/cqadupstack-unix
+    metrics:
+      - type: ndcg_at_10
+        value: 0.23623
+    task:
+      type: Retrieval
+  - dataset:
+      config: default
+      name: MTEB AskUbuntuDupQuestions
+      revision: 2000358ca161889fa9c082cb41daa8dcfb161a54
+      split: test
+      type: mteb/askubuntudupquestions-reranking
+    metrics:
+      - type: map
+        value: 0.5611127024658868
+    task:
+      type: Reranking
+  - dataset:
+      config: default
+      name: MTEB QuoraRetrieval
+      revision: e4e08e0b7dbe3c8700f0daef558ff32256715259
+      split: test
+      type: mteb/quora
+    metrics:
+      - type: ndcg_at_10
+        value: 0.84318
+    task:
+      type: Retrieval
+  - dataset:
+      config: en
+      name: MTEB MassiveIntentClassification
+      revision: 4672e20407010da34463acc759c162ca9734bca6
+      split: test
+      type: mteb/amazon_massive_intent
+    metrics:
+      - type: accuracy
+        value: 0.7035305985205111
+    task:
+      type: Classification
+  - dataset:
+      config: default
+      name: MTEB SprintDuplicateQuestions
+      revision: d66bd1f72af766a5cc4b0ca5e00c162f89e8cc46
+      split: test
+      type: mteb/sprintduplicatequestions-pairclassification
+    metrics:
+      - type: ap
+        value: 0.8547019640605763
+    task:
+      type: PairClassification
+  - dataset:
+      config: default
+      name: MTEB AmazonPolarityClassification
+      revision: e2d317d38cd51312af73b3d32a06d1a08b442046
+      split: test
+      type: mteb/amazon_polarity
+    metrics:
+      - type: accuracy
+        value: 0.8622175000000001
+    task:
+      type: Classification
+  - dataset:
+      config: default
+      name: MTEB SICK-R
+      revision: 20a6d6f312dd54037fe07a32d58e5e168867909d
+      split: test
+      type: mteb/sickr-sts
+    metrics:
+      - type: cosine_spearman
+        value: 0.8074931072126776
+    task:
+      type: STS
+  - dataset:
+      config: default
+      name: MTEB StackExchangeClustering
+      revision: 6cbc1f7b2bc0622f2e39d2c77fa502909748c259
+      split: test
+      type: mteb/stackexchange-clustering
+    metrics:
+      - type: v_measure
+        value: 0.5824562550961052
+    task:
+      type: Clustering
+  - dataset:
+      config: default
+      name: MTEB DBPedia
+      revision: c0f706b76e590d620bd6618b3ca8efdd34e2d659
+      split: test
+      type: mteb/dbpedia
+    metrics:
+      - type: ndcg_at_10
+        value: 0.27904
+    task:
+      type: Retrieval
+  - dataset:
+      config: default
+      name: MTEB CQADupstackProgrammersRetrieval
+      revision: 6184bc1440d2dbc7612be22b50686b8826d22b32
+      split: test
+      type: mteb/cqadupstack-programmers
+    metrics:
+      - type: ndcg_at_10
+        value: 0.22149
+    task:
+      type: Retrieval
+  - dataset:
+      config: default
+      name: MTEB MedrxivClusteringP2P
+      revision: e7a26af6f3ae46b30dde8737f02c07b1505bcc73
+      split: test
+      type: mteb/medrxiv-clustering-p2p
+    metrics:
+      - type: v_measure
+        value: 0.3237094363112699
+    task:
+      type: Clustering
+  - dataset:
+      config: default
+      name: MTEB ToxicConversationsClassification
+      revision: edfaf9da55d3dd50d43143d90c1ac476895ae6de
+      split: test
+      type: mteb/toxic_conversations_50k
+    metrics:
+      - type: accuracy
+        value: 0.69345703125
+    task:
+      type: Classification
+  - dataset:
+      config: default
+      name: MTEB CQADupstackStatsRetrieval
+      revision: 65ac3a16b8e91f9cee4c9828cc7c335575432a2a
+      split: test
+      type: mteb/cqadupstack-stats
+    metrics:
+      - type: ndcg_at_10
+        value: 0.20067
+    task:
+      type: Retrieval
+  - dataset:
+      config: default
+      name: MTEB STS16
+      revision: 4d8694f8f0e0100860b497b999b3dbed754a0513
+      split: test
+      type: mteb/sts16-sts
+    metrics:
+      - type: cosine_spearman
+        value: 0.8059731462041985
+    task:
+      type: STS
+  - dataset:
+      config: default
+      name: MTEB SciFact
+      revision: 0228b52cf27578f30900b9e5271d331663a030d7
+      split: test
+      type: mteb/scifact
+    metrics:
+      - type: ndcg_at_10
+        value: 0.50544
+    task:
+      type: Retrieval
+  - dataset:
+      config: default
+      name: MTEB TweetSentimentExtractionClassification
+      revision: d604517c81ca91fe16a244d1248fc021f9ecee7a
+      split: test
+      type: mteb/tweet_sentiment_extraction
+    metrics:
+      - type: accuracy
+        value: 0.6107243916242219
+    task:
+      type: Classification
+  - dataset:
+      config: default
+      name: MTEB STS12
+      revision: a0d554a64d88156834ff5ae9920b964011b16384
+      split: test
+      type: mteb/sts12-sts
+    metrics:
+      - type: cosine_spearman
+        value: 0.7407164757075673
+    task:
+      type: STS
+  - dataset:
+      config: default
+      name: MTEB CQADupstackPhysicsRetrieval
+      revision: 79531abbd1fb92d06c6d6315a0cbbbf5bb247ea4
+      split: test
+      type: mteb/cqadupstack-physics
+    metrics:
+      - type: ndcg_at_10
+        value: 0.31707
+    task:
+      type: Retrieval
+  - dataset:
+      config: default
+      name: MTEB BiorxivClusteringP2P
+      revision: 65b79d1d13f80053f67aca9498d9402c2d9f1f40
+      split: test
+      type: mteb/biorxiv-clustering-p2p
+    metrics:
+      - type: v_measure
+        value: 0.36100815785085566
+    task:
+      type: Clustering
+  - dataset:
+      config: default
+      name: MTEB CQADupstackGisRetrieval
+      revision: 5003b3064772da1887988e05400cf3806fe491f2
+      split: test
+      type: mteb/cqadupstack-gis
+    metrics:
+      - type: ndcg_at_10
+        value: 0.22124
+    task:
+      type: Retrieval
+  - dataset:
+      config: default
+      name: MTEB CQADupstackGamingRetrieval
+      revision: 4885aa143210c98657558c04aaf3dc47cfb54340
+      split: test
+      type: mteb/cqadupstack-gaming
+    metrics:
+      - type: ndcg_at_10
+        value: 0.42459
+    task:
+      type: Retrieval
+  - dataset:
+      config: default
+      name: MTEB STSBenchmark
+      revision: b0fddb56ed78048fa8b90373c8a3cfc37b684831
+      split: test
+      type: mteb/stsbenchmark-sts
+    metrics:
+      - type: cosine_spearman
+        value: 0.7980073939799789
+    task:
+      type: STS
+  - dataset:
+      config: default
+      name: MTEB CQADupstackWordpressRetrieval
+      revision: 4ffe81d471b1924886b33c7567bfb200e9eec5c4
+      split: test
+      type: mteb/cqadupstack-wordpress
+    metrics:
+      - type: ndcg_at_10
+        value: 0.15801
+    task:
+      type: Retrieval
+  - dataset:
+      config: default
+      name: MTEB StackExchangeClusteringP2P
+      revision: 815ca46b2622cec33ccafc3735d572c266efdb44
+      split: test
+      type: mteb/stackexchange-clustering-p2p
+    metrics:
+      - type: v_measure
+        value: 0.30348330076332997
+    task:
+      type: Clustering
+  - dataset:
+      config: default
+      name: MTEB BiorxivClusteringS2S
+      revision: 258694dd0231531bc1fd9de6ceb52a0853c6d908
+      split: test
+      type: mteb/biorxiv-clustering-s2s
+    metrics:
+      - type: v_measure
+        value: 0.3066700709222508
+    task:
+      type: Clustering
+  - dataset:
+      config: default
+      name: MTEB CQADupstackTexRetrieval
+      revision: 46989137a86843e03a6195de44b09deda022eec7
+      split: test
+      type: mteb/cqadupstack-tex
+    metrics:
+      - type: ndcg_at_10
+        value: 0.14452
+    task:
+      type: Retrieval
+  - dataset:
+      config: default
+      name: MTEB CQADupstackAndroidRetrieval
+      revision: f46a197baaae43b4f621051089b82a364682dfeb
+      split: test
+      type: mteb/cqadupstack-android
+    metrics:
+      - type: ndcg_at_10
+        value: 0.34255
+    task:
+      type: Retrieval
+  - dataset:
+      config: default
+      name: MTEB TRECCOVID
+      revision: bb9466bac8153a0349341eb1b22e06409e78ef4e
+      split: test
+      type: mteb/trec-covid
+    metrics:
+      - type: ndcg_at_10
+        value: 0.37473
+    task:
+      type: Retrieval
+  - dataset:
+      config: default
+      name: MTEB NQ
+      revision: b774495ed302d8c44a3a7ea25c90dbce03968f31
+      split: test
+      type: mteb/nq
+    metrics:
+      - type: ndcg_at_10
+        value: 0.21214
+    task:
+      type: Retrieval
+  - dataset:
+      config: default
+      name: MTEB CQADupstackWebmastersRetrieval
+      revision: 160c094312a0e1facb97e55eeddb698c0abe3571
+      split: test
+      type: mteb/cqadupstack-webmasters
+    metrics:
+      - type: ndcg_at_10
+        value: 0.25273
+    task:
+      type: Retrieval
+  - dataset:
+      config: default
+      name: MTEB ArguAna
+      revision: c22ab2a51041ffd869aaddef7af8d8215647e41a
+      split: test
+      type: mteb/arguana
+    metrics:
+      - type: ndcg_at_10
+        value: 0.44416
+    task:
+      type: Retrieval
+  - dataset:
+      config: default
+      name: MTEB STS14
+      revision: 6031580fec1f6af667f0bd2da0a551cf4f0b2375
+      split: test
+      type: mteb/sts14-sts
+    metrics:
+      - type: cosine_spearman
+        value: 0.7544709602964104
+    task:
+      type: STS
+  - dataset:
+      config: default
+      name: MTEB MedrxivClusteringS2S
+      revision: 35191c8c0dca72d8ff3efcd72aa802307d469663
+      split: test
+      type: mteb/medrxiv-clustering-s2s
+    metrics:
+      - type: v_measure
+        value: 0.2932525018378166
+    task:
+      type: Clustering
+  - dataset:
+      config: en
+      name: MTEB AmazonReviewsClassification
+      revision: 1399c76144fd37290681b995c656ef9b2e06e26d
+      split: test
+      type: mteb/amazon_reviews_multi
+    metrics:
+      - type: accuracy
+        value: 0.43157999999999996
+    task:
+      type: Classification
+  - dataset:
+      config: default
+      name: MTEB ClimateFEVER
+      revision: 47f2ac6acb640fc46020b02a5b59fdda04d39380
+      split: test
+      type: mteb/climate-fever
+    metrics:
+      - type: ndcg_at_10
+        value: 0.11327
+    task:
+      type: Retrieval
+  - dataset:
+      config: default
+      name: MTEB EmotionClassification
+      revision: 4f58c6b202a23cf9a4da393831edf4f9183cad37
+      split: test
+      type: mteb/emotion
+    metrics:
+      - type: accuracy
+        value: 0.48450000000000004
+    task:
+      type: Classification
+tags:
+- mteb
 ---
 
+
 # Model Card for Model ID
 
 <!-- Provide a quick summary of what the model is/does. -->
@@ -104,7 +856,7 @@ Use the code below to get started with the model.
 
 <!-- This section describes the evaluation protocols and provides the results. -->
 
-### Testing Data, Factors & Metrics
+### Testing Data, Factors & metricss
 
 #### Testing Data
 
@@ -118,9 +870,9 @@ Use the code below to get started with the model.
 
 [More Information Needed]
 
-#### Metrics
+#### metricss
 
-<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+<!-- These are the evaluation metricss being used, ideally with a description of why. -->
 
 [More Information Needed]