Adding ONNX file of this model

Beep boop I am the [ONNX export bot 🤖🏎️](https://huggingface.co/spaces/onnx/export). On behalf of [abukhoyer](https://huggingface.co/abukhoyer), I would like to add to this repository the model converted to ONNX.

What is ONNX? It stands for "Open Neural Network Exchange", and is the most commonly used open standard for machine learning interoperability. You can find out more at [onnx.ai](https://onnx.ai/)!

The exported ONNX model can be then be consumed by various backends as TensorRT or TVM, or simply be used in a few lines with 🤗 Optimum through ONNX Runtime, check out how [here](https://huggingface.co/docs/optimum/main/en/onnxruntime/usage_guides/models)!

.gitattributes

@@ -35,3 +35,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
 onnx/model.onnx_data filter=lfs diff=lfs merge=lfs -text
 onnx/model_fp16.onnx_data filter=lfs diff=lfs merge=lfs -text
+onnx/tokenizer.json filter=lfs diff=lfs merge=lfs -text

README.md

@@ -1,13 +1,22 @@
 ---
+tags:
+- mteb
+- sentence-transformers
+- transformers
+- sentence-similarity
+- onnx
+license: mit
 model-index:
 - name: stella_en_1.5B_v5
   results:
-  - dataset:
-      config: en
+  - task:
+      type: Classification
+    dataset:
       name: MTEB AmazonCounterfactualClassification (en)
-      revision: e8379541af4e31359cca9fbcf4b00f2671dba205
-      split: test
       type: mteb/amazon_counterfactual
+      config: en
+      split: test
+      revision: e8379541af4e31359cca9fbcf4b00f2671dba205
     metrics:
     - type: accuracy
       value: 92.86567164179104
@@ -21,14 +30,14 @@ model-index:
       value: 93.13621183004571
     - type: main_score
       value: 92.86567164179104
-    task:
+  - task:
       type: Classification
-  - dataset:
-      config: default
+    dataset:
       name: MTEB AmazonPolarityClassification
-      revision: e2d317d38cd51312af73b3d32a06d1a08b442046
-      split: test
       type: mteb/amazon_polarity
+      config: default
+      split: test
+      revision: e2d317d38cd51312af73b3d32a06d1a08b442046
     metrics:
     - type: accuracy
       value: 97.16485
@@ -42,14 +51,14 @@ model-index:
       value: 97.16351087403213
     - type: main_score
       value: 97.16485
-    task:
+  - task:
       type: Classification
-  - dataset:
-      config: en
+    dataset:
       name: MTEB AmazonReviewsClassification (en)
-      revision: 1399c76144fd37290681b995c656ef9b2e06e26d
-      split: test
       type: mteb/amazon_reviews_multi
+      config: en
+      split: test
+      revision: 1399c76144fd37290681b995c656ef9b2e06e26d
     metrics:
     - type: accuracy
       value: 59.358
@@ -59,14 +68,14 @@ model-index:
       value: 59.0264615883114
     - type: main_score
       value: 59.358
-    task:
-      type: Classification
-  - dataset:
-      config: default
+  - task:
+      type: Retrieval
+    dataset:
       name: MTEB ArguAna
-      revision: c22ab2a51041ffd869aaddef7af8d8215647e41a
-      split: test
       type: mteb/arguana
+      config: default
+      split: test
+      revision: c22ab2a51041ffd869aaddef7af8d8215647e41a
     metrics:
     - type: main_score
       value: 65.269
@@ -350,14 +359,14 @@ model-index:
       value: 67.354
     - type: recall_at_5
       value: 78.236
-    task:
-      type: Retrieval
-  - dataset:
-      config: default
+  - task:
+      type: Clustering
+    dataset:
       name: MTEB ArxivClusteringP2P
-      revision: a122ad7f3f0291bf49cc6f4d32aa80929df69d5d
-      split: test
       type: mteb/arxiv-clustering-p2p
+      config: default
+      split: test
+      revision: a122ad7f3f0291bf49cc6f4d32aa80929df69d5d
     metrics:
     - type: main_score
       value: 55.437138353189994
@@ -365,14 +374,14 @@ model-index:
       value: 55.437138353189994
     - type: v_measure_std
       value: 14.718556601335491
-    task:
+  - task:
       type: Clustering
-  - dataset:
-      config: default
+    dataset:
       name: MTEB ArxivClusteringS2S
-      revision: f910caf1a6075f7329cdf8c1a6135696f37dbd53
-      split: test
       type: mteb/arxiv-clustering-s2s
+      config: default
+      split: test
+      revision: f910caf1a6075f7329cdf8c1a6135696f37dbd53
     metrics:
     - type: main_score
       value: 50.65858459544658
@@ -380,14 +389,14 @@ model-index:
       value: 50.65858459544658
     - type: v_measure_std
       value: 14.887033747525146
-    task:
-      type: Clustering
-  - dataset:
-      config: default
+  - task:
+      type: Reranking
+    dataset:
       name: MTEB AskUbuntuDupQuestions
-      revision: 2000358ca161889fa9c082cb41daa8dcfb161a54
-      split: test
       type: mteb/askubuntudupquestions-reranking
+      config: default
+      split: test
+      revision: 2000358ca161889fa9c082cb41daa8dcfb161a54
     metrics:
     - type: main_score
       value: 67.32597152838535
@@ -407,14 +416,14 @@ model-index:
       value: 41.64561939958336
     - type: nAUC_mrr_std
       value: 23.179909345891968
-    task:
-      type: Reranking
-  - dataset:
-      config: default
+  - task:
+      type: STS
+    dataset:
       name: MTEB BIOSSES
-      revision: d3fb88f8f02e40887cd149695127462bbcf29b4a
-      split: test
       type: mteb/biosses-sts
+      config: default
+      split: test
+      revision: d3fb88f8f02e40887cd149695127462bbcf29b4a
     metrics:
     - type: cosine_pearson
       value: 85.790820496042
@@ -434,14 +443,14 @@ model-index:
       value: 85.790820496042
     - type: spearman
       value: 83.10731534330517
-    task:
-      type: STS
-  - dataset:
-      config: default
+  - task:
+      type: Classification
+    dataset:
       name: MTEB Banking77Classification
-      revision: 0fd18e25b25c072e09e0d92ab615fda904d66300
-      split: test
       type: mteb/banking77
+      config: default
+      split: test
+      revision: 0fd18e25b25c072e09e0d92ab615fda904d66300
     metrics:
     - type: accuracy
       value: 89.78896103896105
@@ -451,14 +460,14 @@ model-index:
       value: 89.76107366333488
     - type: main_score
       value: 89.78896103896105
-    task:
-      type: Classification
-  - dataset:
-      config: default
+  - task:
+      type: Clustering
+    dataset:
       name: MTEB BiorxivClusteringP2P
-      revision: 65b79d1d13f80053f67aca9498d9402c2d9f1f40
-      split: test
       type: mteb/biorxiv-clustering-p2p
+      config: default
+      split: test
+      revision: 65b79d1d13f80053f67aca9498d9402c2d9f1f40
     metrics:
     - type: main_score
       value: 50.68092296236376
@@ -466,14 +475,14 @@ model-index:
       value: 50.68092296236376
     - type: v_measure_std
       value: 0.7832640983085436
-    task:
+  - task:
       type: Clustering
-  - dataset:
-      config: default
+    dataset:
       name: MTEB BiorxivClusteringS2S
-      revision: 258694dd0231531bc1fd9de6ceb52a0853c6d908
-      split: test
       type: mteb/biorxiv-clustering-s2s
+      config: default
+      split: test
+      revision: 258694dd0231531bc1fd9de6ceb52a0853c6d908
     metrics:
     - type: main_score
       value: 46.86629236732983
@@ -481,14 +490,14 @@ model-index:
       value: 46.86629236732983
     - type: v_measure_std
       value: 0.8784322236350974
-    task:
-      type: Clustering
-  - dataset:
-      config: default
+  - task:
+      type: Retrieval
+    dataset:
       name: MTEB CQADupstackRetrieval
-      revision: 4ffe81d471b1924886b33c7567bfb200e9eec5c4
-      split: test
       type: mteb/cqadupstack
+      config: default
+      split: test
+      revision: 4ffe81d471b1924886b33c7567bfb200e9eec5c4
     metrics:
     - type: main_score
       value: 47.74883333333334
@@ -772,14 +781,14 @@ model-index:
       value: 46.01841666666666
     - type: recall_at_5
       value: 52.482416666666666
-    task:
+  - task:
       type: Retrieval
-  - dataset:
-      config: default
+    dataset:
       name: MTEB ClimateFEVER
-      revision: 47f2ac6acb640fc46020b02a5b59fdda04d39380
-      split: test
       type: mteb/climate-fever
+      config: default
+      split: test
+      revision: 47f2ac6acb640fc46020b02a5b59fdda04d39380
     metrics:
     - type: main_score
       value: 46.113
@@ -1063,14 +1072,14 @@ model-index:
       value: 35.150999999999996
     - type: recall_at_5
       value: 42.748000000000005
-    task:
+  - task:
       type: Retrieval
-  - dataset:
-      config: default
+    dataset:
       name: MTEB DBPedia
-      revision: c0f706b76e590d620bd6618b3ca8efdd34e2d659
-      split: test
       type: mteb/dbpedia
+      config: default
+      split: test
+      revision: c0f706b76e590d620bd6618b3ca8efdd34e2d659
     metrics:
     - type: main_score
       value: 52.276999999999994
@@ -1354,14 +1363,14 @@ model-index:
       value: 17.876
     - type: recall_at_5
       value: 22.536
-    task:
-      type: Retrieval
-  - dataset:
-      config: default
+  - task:
+      type: Classification
+    dataset:
       name: MTEB EmotionClassification
-      revision: 4f58c6b202a23cf9a4da393831edf4f9183cad37
-      split: test
       type: mteb/emotion
+      config: default
+      split: test
+      revision: 4f58c6b202a23cf9a4da393831edf4f9183cad37
     metrics:
     - type: accuracy
       value: 84.29499999999999
@@ -1371,14 +1380,14 @@ model-index:
       value: 84.96026012933847
     - type: main_score
       value: 84.29499999999999
-    task:
-      type: Classification
-  - dataset:
-      config: default
+  - task:
+      type: Retrieval
+    dataset:
       name: MTEB FEVER
-      revision: bea83ef9e8fb933d90a2f1d5515737465d613e12
-      split: test
       type: mteb/fever
+      config: default
+      split: test
+      revision: bea83ef9e8fb933d90a2f1d5515737465d613e12
     metrics:
     - type: main_score
       value: 94.83200000000001
@@ -1662,14 +1671,14 @@ model-index:
       value: 95.069
     - type: recall_at_5
       value: 96.177
-    task:
+  - task:
       type: Retrieval
-  - dataset:
-      config: default
+    dataset:
       name: MTEB FiQA2018
-      revision: 27a168819829fe9bcd655c2df245fb19452e8e06
-      split: test
       type: mteb/fiqa
+      config: default
+      split: test
+      revision: 27a168819829fe9bcd655c2df245fb19452e8e06
     metrics:
     - type: main_score
       value: 60.480000000000004
@@ -1953,14 +1962,14 @@ model-index:
       value: 50.221000000000004
     - type: recall_at_5
       value: 58.209999999999994
-    task:
+  - task:
       type: Retrieval
-  - dataset:
-      config: default
+    dataset:
       name: MTEB HotpotQA
-      revision: ab518f4d6fcca38d87c25209f94beba119d02014
-      split: test
       type: mteb/hotpotqa
+      config: default
+      split: test
+      revision: ab518f4d6fcca38d87c25209f94beba119d02014
     metrics:
     - type: main_score
       value: 76.67399999999999
@@ -2244,14 +2253,14 @@ model-index:
       value: 68.879
     - type: recall_at_5
       value: 73.896
-    task:
-      type: Retrieval
-  - dataset:
-      config: default
+  - task:
+      type: Classification
+    dataset:
       name: MTEB ImdbClassification
-      revision: 3d86128a09e091d6018b6d26cad27f2739fc2db7
-      split: test
       type: mteb/imdb
+      config: default
+      split: test
+      revision: 3d86128a09e091d6018b6d26cad27f2739fc2db7
     metrics:
     - type: accuracy
       value: 96.6608
@@ -2265,14 +2274,14 @@ model-index:
       value: 96.66029695623423
     - type: main_score
       value: 96.6608
-    task:
-      type: Classification
-  - dataset:
-      config: default
+  - task:
+      type: Retrieval
+    dataset:
       name: MTEB MSMARCO
-      revision: c5a29a104738b98a9e76336939199e264163d4a0
-      split: dev
       type: mteb/msmarco
+      config: default
+      split: dev
+      revision: c5a29a104738b98a9e76336939199e264163d4a0
     metrics:
     - type: main_score
       value: 45.217
@@ -2556,14 +2565,14 @@ model-index:
       value: 45.535
     - type: recall_at_5
       value: 55.394
-    task:
-      type: Retrieval
-  - dataset:
-      config: en
+  - task:
+      type: Classification
+    dataset:
       name: MTEB MTOPDomainClassification (en)
-      revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf
-      split: test
       type: mteb/mtop_domain
+      config: en
+      split: test
+      revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf
     metrics:
     - type: accuracy
       value: 99.01276789785682
@@ -2573,14 +2582,14 @@ model-index:
       value: 99.01406884928141
     - type: main_score
       value: 99.01276789785682
-    task:
+  - task:
       type: Classification
-  - dataset:
-      config: en
+    dataset:
       name: MTEB MTOPIntentClassification (en)
-      revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba
-      split: test
       type: mteb/mtop_intent
+      config: en
+      split: test
+      revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba
     metrics:
     - type: accuracy
       value: 92.78385772913816
@@ -2590,14 +2599,14 @@ model-index:
       value: 93.90424147486428
     - type: main_score
       value: 92.78385772913816
-    task:
+  - task:
       type: Classification
-  - dataset:
-      config: en
+    dataset:
       name: MTEB MassiveIntentClassification (en)
-      revision: 4672e20407010da34463acc759c162ca9734bca6
-      split: test
       type: mteb/amazon_massive_intent
+      config: en
+      split: test
+      revision: 4672e20407010da34463acc759c162ca9734bca6
     metrics:
     - type: accuracy
       value: 85.83053127101546
@@ -2607,14 +2616,14 @@ model-index:
       value: 85.81759723866098
     - type: main_score
       value: 85.83053127101546
-    task:
+  - task:
       type: Classification
-  - dataset:
-      config: en
+    dataset:
       name: MTEB MassiveScenarioClassification (en)
-      revision: fad2c6e8459f9e1c45d9315f4953d921437d70f8
-      split: test
       type: mteb/amazon_massive_scenario
+      config: en
+      split: test
+      revision: fad2c6e8459f9e1c45d9315f4953d921437d70f8
     metrics:
     - type: accuracy
       value: 90.19838601210489
@@ -2624,14 +2633,14 @@ model-index:
       value: 90.11422965504119
     - type: main_score
       value: 90.19838601210489
-    task:
-      type: Classification
-  - dataset:
-      config: default
+  - task:
+      type: Clustering
+    dataset:
       name: MTEB MedrxivClusteringP2P
-      revision: e7a26af6f3ae46b30dde8737f02c07b1505bcc73
-      split: test
       type: mteb/medrxiv-clustering-p2p
+      config: default
+      split: test
+      revision: e7a26af6f3ae46b30dde8737f02c07b1505bcc73
     metrics:
     - type: main_score
       value: 46.866746897607094
@@ -2639,14 +2648,14 @@ model-index:
       value: 46.866746897607094
     - type: v_measure_std
       value: 1.0966477896919726
-    task:
+  - task:
       type: Clustering
-  - dataset:
-      config: default
+    dataset:
       name: MTEB MedrxivClusteringS2S
-      revision: 35191c8c0dca72d8ff3efcd72aa802307d469663
-      split: test
       type: mteb/medrxiv-clustering-s2s
+      config: default
+      split: test
+      revision: 35191c8c0dca72d8ff3efcd72aa802307d469663
     metrics:
     - type: main_score
       value: 44.6538827415503
@@ -2654,14 +2663,14 @@ model-index:
       value: 44.6538827415503
     - type: v_measure_std
       value: 1.1649569936599116
-    task:
-      type: Clustering
-  - dataset:
-      config: default
+  - task:
+      type: Reranking
+    dataset:
       name: MTEB MindSmallReranking
-      revision: 59042f120c80e8afa9cdbb224f67076cec0fc9a7
-      split: test
       type: mteb/mind_small
+      config: default
+      split: test
+      revision: 59042f120c80e8afa9cdbb224f67076cec0fc9a7
     metrics:
     - type: main_score
       value: 33.05449204940555
@@ -2681,14 +2690,14 @@ model-index:
       value: -15.304687384645769
     - type: nAUC_mrr_std
       value: -0.519919931348978
-    task:
-      type: Reranking
-  - dataset:
-      config: default
+  - task:
+      type: Retrieval
+    dataset:
       name: MTEB NFCorpus
-      revision: ec0fa4fe99da2ff19ca1214b7966684033a58814
-      split: test
       type: mteb/nfcorpus
+      config: default
+      split: test
+      revision: ec0fa4fe99da2ff19ca1214b7966684033a58814
     metrics:
     - type: main_score
       value: 41.998000000000005
@@ -2972,14 +2981,14 @@ model-index:
       value: 13.267999999999999
     - type: recall_at_5
       value: 16.141
-    task:
+  - task:
       type: Retrieval
-  - dataset:
-      config: default
+    dataset:
       name: MTEB NQ
-      revision: b774495ed302d8c44a3a7ea25c90dbce03968f31
-      split: test
       type: mteb/nq
+      config: default
+      split: test
+      revision: b774495ed302d8c44a3a7ea25c90dbce03968f31
     metrics:
     - type: main_score
       value: 71.8
@@ -3263,14 +3272,14 @@ model-index:
       value: 74.394
     - type: recall_at_5
       value: 82.711
-    task:
+  - task:
       type: Retrieval
-  - dataset:
-      config: default
+    dataset:
       name: MTEB QuoraRetrieval
-      revision: e4e08e0b7dbe3c8700f0daef558ff32256715259
-      split: test
       type: mteb/quora
+      config: default
+      split: test
+      revision: e4e08e0b7dbe3c8700f0daef558ff32256715259
     metrics:
     - type: main_score
       value: 90.025
@@ -3554,14 +3563,14 @@ model-index:
       value: 89.276
     - type: recall_at_5
       value: 93.46
-    task:
-      type: Retrieval
-  - dataset:
-      config: default
+  - task:
+      type: Clustering
+    dataset:
       name: MTEB RedditClustering
-      revision: 24640382cdbf8abc73003fb0fa6d111a705499eb
-      split: test
       type: mteb/reddit-clustering
+      config: default
+      split: test
+      revision: 24640382cdbf8abc73003fb0fa6d111a705499eb
     metrics:
     - type: main_score
       value: 72.86492101891123
@@ -3569,14 +3578,14 @@ model-index:
       value: 72.86492101891123
     - type: v_measure_std
       value: 2.778711445144635
-    task:
+  - task:
       type: Clustering
-  - dataset:
-      config: default
+    dataset:
       name: MTEB RedditClusteringP2P
-      revision: 385e3cb46b4cfa89021f56c4380204149d0efe33
-      split: test
       type: mteb/reddit-clustering-p2p
+      config: default
+      split: test
+      revision: 385e3cb46b4cfa89021f56c4380204149d0efe33
     metrics:
     - type: main_score
       value: 75.27316726548479
@@ -3584,14 +3593,14 @@ model-index:
       value: 75.27316726548479
     - type: v_measure_std
       value: 8.87871936725338
-    task:
-      type: Clustering
-  - dataset:
-      config: default
+  - task:
+      type: Retrieval
+    dataset:
       name: MTEB SCIDOCS
-      revision: f8c2fcf00f625baaa80f62ec5bd9e1fff3b8ae88
-      split: test
       type: mteb/scidocs
+      config: default
+      split: test
+      revision: f8c2fcf00f625baaa80f62ec5bd9e1fff3b8ae88
     metrics:
     - type: main_score
       value: 26.638
@@ -3875,14 +3884,14 @@ model-index:
       value: 14.127999999999998
     - type: recall_at_5
       value: 19.673
-    task:
-      type: Retrieval
-  - dataset:
-      config: default
+  - task:
+      type: STS
+    dataset:
       name: MTEB SICK-R
-      revision: 20a6d6f312dd54037fe07a32d58e5e168867909d
-      split: test
       type: mteb/sickr-sts
+      config: default
+      split: test
+      revision: 20a6d6f312dd54037fe07a32d58e5e168867909d
     metrics:
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       value: 86.86608529160739
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       value: 86.86608529160739
     - type: spearman
       value: 82.88625166203383
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       type: STS
-  - dataset:
-      config: default
+    dataset:
       name: MTEB STS12
-      revision: a0d554a64d88156834ff5ae9920b964011b16384
-      split: test
       type: mteb/sts12-sts
+      config: default
+      split: test
+      revision: a0d554a64d88156834ff5ae9920b964011b16384
     metrics:
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       value: 87.0445014940449
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       value: 87.0445014940449
     - type: spearman
       value: 80.0880365116599
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       type: STS
-  - dataset:
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       name: MTEB STS13
-      revision: 7e90230a92c190f1bf69ae9002b8cea547a64cca
-      split: test
       type: mteb/sts13-sts
+      config: default
+      split: test
+      revision: 7e90230a92c190f1bf69ae9002b8cea547a64cca
     metrics:
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       value: 89.33900828959968
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       value: 89.33900828959968
     - type: spearman
       value: 89.68256358526733
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-  - dataset:
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       name: MTEB STS14
-      revision: 6031580fec1f6af667f0bd2da0a551cf4f0b2375
-      split: test
       type: mteb/sts14-sts
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+      split: test
+      revision: 6031580fec1f6af667f0bd2da0a551cf4f0b2375
     metrics:
     - type: cosine_pearson
       value: 86.42029843639123
@@ -3983,14 +3992,14 @@ model-index:
       value: 86.42029843639123
     - type: spearman
       value: 85.0707889220723
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       name: MTEB STS15
-      revision: ae752c7c21bf194d8b67fd573edf7ae58183cbe3
-      split: test
       type: mteb/sts15-sts
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+      split: test
+      revision: ae752c7c21bf194d8b67fd573edf7ae58183cbe3
     metrics:
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       value: 88.3660081271444
@@ -4010,14 +4019,14 @@ model-index:
       value: 88.3660081271444
     - type: spearman
       value: 89.39375083609528
-    task:
+  - task:
       type: STS
-  - dataset:
-      config: default
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       name: MTEB STS16
-      revision: 4d8694f8f0e0100860b497b999b3dbed754a0513
-      split: test
       type: mteb/sts16-sts
+      config: default
+      split: test
+      revision: 4d8694f8f0e0100860b497b999b3dbed754a0513
     metrics:
     - type: cosine_pearson
       value: 85.60708247171874
@@ -4037,14 +4046,14 @@ model-index:
       value: 85.60708247171874
     - type: spearman
       value: 87.15234952832193
-    task:
+  - task:
       type: STS
-  - dataset:
-      config: en-en
+    dataset:
       name: MTEB STS17 (en-en)
-      revision: faeb762787bd10488a50c8b5be4a3b82e411949c
-      split: test
       type: mteb/sts17-crosslingual-sts
+      config: en-en
+      split: test
+      revision: faeb762787bd10488a50c8b5be4a3b82e411949c
     metrics:
     - type: cosine_pearson
       value: 91.25898556808458
@@ -4064,14 +4073,14 @@ model-index:
       value: 91.25898556808458
     - type: spearman
       value: 91.35372390581641
-    task:
+  - task:
       type: STS
-  - dataset:
-      config: en
+    dataset:
       name: MTEB STS22 (en)
-      revision: de9d86b3b84231dc21f76c7b7af1f28e2f57f6e3
-      split: test
       type: mteb/sts22-crosslingual-sts
+      config: en
+      split: test
+      revision: de9d86b3b84231dc21f76c7b7af1f28e2f57f6e3
     metrics:
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       value: 67.61637111515797
@@ -4091,14 +4100,14 @@ model-index:
       value: 67.61637111515797
     - type: spearman
       value: 68.10379096526697
-    task:
+  - task:
       type: STS
-  - dataset:
-      config: default
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       name: MTEB STSBenchmark
-      revision: b0fddb56ed78048fa8b90373c8a3cfc37b684831
-      split: test
       type: mteb/stsbenchmark-sts
+      config: default
+      split: test
+      revision: b0fddb56ed78048fa8b90373c8a3cfc37b684831
     metrics:
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       value: 87.81592853782297
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       value: 87.81592853782297
     - type: spearman
       value: 88.2302550329183
-    task:
-      type: STS
-  - dataset:
-      config: default
+  - task:
+      type: Reranking
+    dataset:
       name: MTEB SciDocsRR
-      revision: d3c5e1fc0b855ab6097bf1cda04dd73947d7caab
-      split: test
       type: mteb/scidocs-reranking
+      config: default
+      split: test
+      revision: d3c5e1fc0b855ab6097bf1cda04dd73947d7caab
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     - type: nAUC_mrr_std
       value: 75.38945014727746
-    task:
-      type: Reranking
-  - dataset:
-      config: default
+  - task:
+      type: Retrieval
+    dataset:
       name: MTEB SciFact
-      revision: 0228b52cf27578f30900b9e5271d331663a030d7
-      split: test
       type: mteb/scifact
+      config: default
+      split: test
+      revision: 0228b52cf27578f30900b9e5271d331663a030d7
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       value: 80.08999999999999
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       value: 80.972
     - type: recall_at_5
       value: 89.90599999999999
-    task:
-      type: Retrieval
-  - dataset:
-      config: default
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+    dataset:
       name: MTEB SprintDuplicateQuestions
-      revision: d66bd1f72af766a5cc4b0ca5e00c162f89e8cc46
-      split: test
       type: mteb/sprintduplicatequestions-pairclassification
+      config: default
+      split: test
+      revision: d66bd1f72af766a5cc4b0ca5e00c162f89e8cc46
     metrics:
     - type: cosine_accuracy
       value: 99.81881188118813
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       value: 92.59645464025026
     - type: similarity_recall
       value: 88.8
-    task:
-      type: PairClassification
-  - dataset:
-      config: default
+  - task:
+      type: Clustering
+    dataset:
       name: MTEB StackExchangeClustering
-      revision: 6cbc1f7b2bc0622f2e39d2c77fa502909748c259
-      split: test
       type: mteb/stackexchange-clustering
+      config: default
+      split: test
+      revision: 6cbc1f7b2bc0622f2e39d2c77fa502909748c259
     metrics:
     - type: main_score
       value: 80.28558559137414
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       value: 80.28558559137414
     - type: v_measure_std
       value: 2.795276520287584
-    task:
+  - task:
       type: Clustering
-  - dataset:
-      config: default
+    dataset:
       name: MTEB StackExchangeClusteringP2P
-      revision: 815ca46b2622cec33ccafc3735d572c266efdb44
-      split: test
       type: mteb/stackexchange-clustering-p2p
+      config: default
+      split: test
+      revision: 815ca46b2622cec33ccafc3735d572c266efdb44
     metrics:
     - type: main_score
       value: 49.57135582416209
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     - type: v_measure_std
       value: 1.6414135468423754
-    task:
-      type: Clustering
-  - dataset:
-      config: default
+  - task:
+      type: Reranking
+    dataset:
       name: MTEB StackOverflowDupQuestions
-      revision: e185fbe320c72810689fc5848eb6114e1ef5ec69
-      split: test
       type: mteb/stackoverflowdupquestions-reranking
+      config: default
+      split: test
+      revision: e185fbe320c72810689fc5848eb6114e1ef5ec69
     metrics:
     - type: main_score
       value: 55.253002583598644
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     - type: nAUC_mrr_std
       value: 8.47326494370076
-    task:
-      type: Reranking
-  - dataset:
-      config: default
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+      type: Summarization
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       name: MTEB SummEval
-      revision: cda12ad7615edc362dbf25a00fdd61d3b1eaf93c
-      split: test
       type: mteb/summeval
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+      split: test
+      revision: cda12ad7615edc362dbf25a00fdd61d3b1eaf93c
     metrics:
     - type: cosine_pearson
       value: 31.19874648747059
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       value: 31.19874648747059
     - type: spearman
       value: 31.493550648844863
-    task:
-      type: Summarization
-  - dataset:
-      config: default
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       name: MTEB TRECCOVID
-      revision: bb9466bac8153a0349341eb1b22e06409e78ef4e
-      split: test
       type: mteb/trec-covid
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+      split: test
+      revision: bb9466bac8153a0349341eb1b22e06409e78ef4e
     metrics:
     - type: main_score
       value: 85.983
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       value: 0.7250000000000001
     - type: recall_at_5
       value: 1.1820000000000002
-    task:
+  - task:
       type: Retrieval
-  - dataset:
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       name: MTEB Touche2020
-      revision: a34f9a33db75fa0cbb21bb5cfc3dae8dc8bec93f
-      split: test
       type: mteb/touche2020
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+      split: test
+      revision: a34f9a33db75fa0cbb21bb5cfc3dae8dc8bec93f
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       value: 29.944
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       value: 7.383000000000001
     - type: recall_at_5
       value: 11.434
-    task:
-      type: Retrieval
-  - dataset:
-      config: default
+  - task:
+      type: Classification
+    dataset:
       name: MTEB ToxicConversationsClassification
-      revision: edfaf9da55d3dd50d43143d90c1ac476895ae6de
-      split: test
       type: mteb/toxic_conversations_50k
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+      split: test
+      revision: edfaf9da55d3dd50d43143d90c1ac476895ae6de
     metrics:
     - type: accuracy
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@@ -5208,14 +5217,14 @@ model-index:
       value: 90.54372649306606
     - type: main_score
       value: 88.759765625
-    task:
+  - task:
       type: Classification
-  - dataset:
-      config: default
+    dataset:
       name: MTEB TweetSentimentExtractionClassification
-      revision: d604517c81ca91fe16a244d1248fc021f9ecee7a
-      split: test
       type: mteb/tweet_sentiment_extraction
+      config: default
+      split: test
+      revision: d604517c81ca91fe16a244d1248fc021f9ecee7a
     metrics:
     - type: accuracy
       value: 74.8443689869836
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       value: 74.7369003946243
     - type: main_score
       value: 74.8443689869836
-    task:
-      type: Classification
-  - dataset:
-      config: default
+  - task:
+      type: Clustering
+    dataset:
       name: MTEB TwentyNewsgroupsClustering
-      revision: 6125ec4e24fa026cec8a478383ee943acfbd5449
-      split: test
       type: mteb/twentynewsgroups-clustering
+      config: default
+      split: test
+      revision: 6125ec4e24fa026cec8a478383ee943acfbd5449
     metrics:
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       value: 61.42918790942448
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     - type: v_measure_std
       value: 1.0156550098843082
-    task:
-      type: Clustering
-  - dataset:
-      config: default
+  - task:
+      type: PairClassification
+    dataset:
       name: MTEB TwitterSemEval2015
-      revision: 70970daeab8776df92f5ea462b6173c0b46fd2d1
-      split: test
       type: mteb/twittersemeval2015-pairclassification
+      config: default
+      split: test
+      revision: 70970daeab8776df92f5ea462b6173c0b46fd2d1
     metrics:
     - type: cosine_accuracy
       value: 88.22197055492639
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       value: 71.64922770303936
     - type: similarity_recall
       value: 75.8839050131926
-    task:
+  - task:
       type: PairClassification
-  - dataset:
-      config: default
+    dataset:
       name: MTEB TwitterURLCorpus
-      revision: 8b6510b0b1fa4e4c4f879467980e9be563ec1cdf
-      split: test
       type: mteb/twitterurlcorpus-pairclassification
+      config: default
+      split: test
+      revision: 8b6510b0b1fa4e4c4f879467980e9be563ec1cdf
     metrics:
     - type: cosine_accuracy
       value: 89.88628866379477
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       value: 76.93126197063205
     - type: similarity_recall
       value: 83.50015398829689
-    task:
-      type: PairClassification
-tags:
-- mteb
-- sentence-transformers
-- transformers
-- sentence-similarity
-license: mit
 ---
 
 

onnx/added_tokens.json

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onnx/config.json

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onnx/special_tokens_map.json

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+{
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onnx/tokenizer.json

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onnx/tokenizer_config.json

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+      "NovaSearch/stella_en_1.5B_v5--tokenization_qwen.Qwen2TokenizerFast"
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+  "chat_template": "{% for message in messages %}{{'<|im_start|>' + message['role'] + '\n' + message['content'] + '<|im_end|>' + '\n'}}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant\n' }}{% endif %}",
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+}