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Mihaiii
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gte-micro-v2

Sentence Similarity
sentence-transformers
ONNX
Safetensors
bert
feature-extraction
gte
mteb
Eval Results
Inference Endpoints
text-embeddings-inference
Model card Files Community
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@@ -8,6 +8,196 @@ tags:
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  - sentence-similarity
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  - gte
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  - mteb
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  # gte-micro
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  - sentence-similarity
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  - gte
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  - mteb
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+ model-index:
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+ - name: gte-micro-test
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+ results:
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+ - task:
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+ type: Classification
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+ dataset:
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+ type: mteb/amazon_counterfactual
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+ name: MTEB AmazonCounterfactualClassification (en)
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+ config: en
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+ split: test
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+ revision: e8379541af4e31359cca9fbcf4b00f2671dba205
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+ metrics:
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+ - type: accuracy
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+ value: 71.43283582089552
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+ - type: ap
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+ value: 33.56235301308992
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+ - type: f1
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+ value: 65.18510976313922
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+ - task:
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+ type: Classification
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+ dataset:
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+ type: mteb/amazon_polarity
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+ name: MTEB AmazonPolarityClassification
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+ config: default
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+ split: test
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+ revision: e2d317d38cd51312af73b3d32a06d1a08b442046
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+ metrics:
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+ - type: accuracy
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+ value: 77.72055
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+ - type: ap
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+ value: 72.30281215701287
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+ - type: f1
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+ value: 77.62429097469116
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+ - task:
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+ type: Classification
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+ dataset:
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+ type: mteb/amazon_reviews_multi
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+ name: MTEB AmazonReviewsClassification (en)
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+ config: en
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+ split: test
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+ revision: 1399c76144fd37290681b995c656ef9b2e06e26d
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+ metrics:
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+ - type: accuracy
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+ value: 38.956
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+ - type: f1
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+ value: 38.59075995638611
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+ - task:
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+ type: Clustering
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+ dataset:
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+ type: mteb/arxiv-clustering-p2p
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+ name: MTEB ArxivClusteringP2P
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+ config: default
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+ split: test
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+ revision: a122ad7f3f0291bf49cc6f4d32aa80929df69d5d
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+ metrics:
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+ - type: v_measure
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+ value: 41.14317775707504
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+ - task:
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+ type: Clustering
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+ dataset:
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+ type: mteb/arxiv-clustering-s2s
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+ name: MTEB ArxivClusteringS2S
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+ config: default
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+ split: test
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+ revision: f910caf1a6075f7329cdf8c1a6135696f37dbd53
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+ metrics:
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+ - type: v_measure
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+ value: 31.79440862639374
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+ - task:
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+ type: Classification
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+ dataset:
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+ type: mteb/banking77
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+ name: MTEB Banking77Classification
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+ config: default
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+ split: test
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+ revision: 0fd18e25b25c072e09e0d92ab615fda904d66300
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+ metrics:
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+ - type: accuracy
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+ value: 80.40259740259741
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+ - type: f1
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+ value: 80.33885811790022
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+ - task:
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+ type: Classification
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+ dataset:
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+ type: mteb/emotion
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+ name: MTEB EmotionClassification
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+ config: default
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+ split: test
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+ revision: 4f58c6b202a23cf9a4da393831edf4f9183cad37
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+ metrics:
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+ - type: accuracy
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+ value: 44.54
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+ - type: f1
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+ value: 39.40201192446353
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+ - task:
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+ type: Classification
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+ dataset:
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+ type: mteb/imdb
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+ name: MTEB ImdbClassification
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+ config: default
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+ split: test
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+ revision: 3d86128a09e091d6018b6d26cad27f2739fc2db7
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+ metrics:
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+ - type: accuracy
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+ value: 70.5904
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+ - type: ap
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+ value: 64.61751544665012
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+ - type: f1
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+ value: 70.47776028292148
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+ - task:
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+ type: Classification
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+ dataset:
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+ type: mteb/mtop_domain
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+ name: MTEB MTOPDomainClassification (en)
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+ config: en
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+ split: test
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+ revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf
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+ metrics:
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+ - type: accuracy
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+ value: 90.49703602371181
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+ - type: f1
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+ value: 90.05253119123799
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+ - task:
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+ type: Classification
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+ dataset:
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+ type: mteb/mtop_intent
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+ name: MTEB MTOPIntentClassification (en)
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+ config: en
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+ split: test
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+ revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba
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+ metrics:
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+ - type: accuracy
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+ value: 67.52393980848153
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+ - type: f1
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+ value: 49.95609666042009
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+ - task:
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+ type: Classification
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+ dataset:
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+ type: mteb/amazon_massive_intent
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+ name: MTEB MassiveIntentClassification (en)
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+ config: en
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+ split: test
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+ revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
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+ metrics:
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+ - type: accuracy
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+ value: 68.4969737726967
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+ - type: f1
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+ value: 66.32116772424203
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+ - task:
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+ type: Classification
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+ dataset:
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+ type: mteb/amazon_massive_scenario
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+ name: MTEB MassiveScenarioClassification (en)
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+ config: en
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+ split: test
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+ revision: 7d571f92784cd94a019292a1f45445077d0ef634
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+ metrics:
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+ - type: accuracy
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+ value: 73.54741089441829
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+ - type: f1
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+ value: 73.47537036064044
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+ - task:
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+ type: Classification
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+ dataset:
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+ type: mteb/toxic_conversations_50k
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+ name: MTEB ToxicConversationsClassification
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+ config: default
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+ split: test
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+ revision: edfaf9da55d3dd50d43143d90c1ac476895ae6de
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+ metrics:
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+ - type: accuracy
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+ value: 66.6912
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+ - type: ap
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+ value: 12.157396278930436
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+ - type: f1
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+ value: 51.00574525406295
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+ - task:
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+ type: Classification
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+ dataset:
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+ type: mteb/tweet_sentiment_extraction
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+ name: MTEB TweetSentimentExtractionClassification
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+ config: default
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+ split: test
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+ revision: d604517c81ca91fe16a244d1248fc021f9ecee7a
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+ metrics:
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+ - type: accuracy
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+ value: 59.29258630447085
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+ - type: f1
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+ value: 59.6485358241374
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+ ---
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  ---
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  # gte-micro
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