MoritzLaurer
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deberta-v3-xsmall-zeroshot-v1.1-all-33

Zero-Shot Classification

text-classification

Inference Endpoints

Model card Files Files and versions Community

MoritzLaurer HF staff commited on Jan 11

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@@ -40,7 +40,7 @@ General takeaway: the model is much more efficient than its larger sisters, but
 |Datasets|mnli_m|mnli_mm|fevernli|anli_r1|anli_r2|anli_r3|wanli|lingnli|wellformedquery|rottentomatoes|amazonpolarity|imdb|yelpreviews|hatexplain|massive|banking77|emotiondair|emocontext|empathetic|agnews|yahootopics|biasframes_sex|biasframes_offensive|biasframes_intent|financialphrasebank|appreviews|hateoffensive|trueteacher|spam|wikitoxic_toxicaggregated|wikitoxic_obscene|wikitoxic_identityhate|wikitoxic_threat|wikitoxic_insult|manifesto|capsotu|
 | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: |
 |Accuracy|0.925|0.923|0.886|0.732|0.633|0.661|0.814|0.887|0.722|0.872|0.944|0.925|0.967|0.774|0.734|0.627|0.762|0.745|0.465|0.888|0.702|0.94|0.853|0.863|0.914|0.926|0.921|0.635|0.968|0.897|0.918|0.915|0.935|0.9|0.505|0.701|
-|Inference text/sec (A100, batch=128)|1573.0|1630.0|683.0|1282.0|1352.0|1072.0|2325.0|2008.0|4781.0|2743.0|677.0|228.0|238.0|2357.0|5027.0|4323.0|3247.0|3129.0|941.0|1643.0|335.0|1517.0|1452.0|1498.0|2367.0|974.0|2634.0|353.0|2284.0|260.0|252.0|256.0|254.0|259.0|1941.0|2080.0|

 |Datasets|mnli_m|mnli_mm|fevernli|anli_r1|anli_r2|anli_r3|wanli|lingnli|wellformedquery|rottentomatoes|amazonpolarity|imdb|yelpreviews|hatexplain|massive|banking77|emotiondair|emocontext|empathetic|agnews|yahootopics|biasframes_sex|biasframes_offensive|biasframes_intent|financialphrasebank|appreviews|hateoffensive|trueteacher|spam|wikitoxic_toxicaggregated|wikitoxic_obscene|wikitoxic_identityhate|wikitoxic_threat|wikitoxic_insult|manifesto|capsotu|
 | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: |
 |Accuracy|0.925|0.923|0.886|0.732|0.633|0.661|0.814|0.887|0.722|0.872|0.944|0.925|0.967|0.774|0.734|0.627|0.762|0.745|0.465|0.888|0.702|0.94|0.853|0.863|0.914|0.926|0.921|0.635|0.968|0.897|0.918|0.915|0.935|0.9|0.505|0.701|
+|Inference text/sec (A10G, batch=128)|1573.0|1630.0|683.0|1282.0|1352.0|1072.0|2325.0|2008.0|4781.0|2743.0|677.0|228.0|238.0|2357.0|5027.0|4323.0|3247.0|3129.0|941.0|1643.0|335.0|1517.0|1452.0|1498.0|2367.0|974.0|2634.0|353.0|2284.0|260.0|252.0|256.0|254.0|259.0|1941.0|2080.0|