all_data_tasks/27/default.jsonl

{"index":5,"Rank":1,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/deepset\/gbert-large\">gbert-large<\/a>","Model Size (Million Parameters)":337,"Memory Usage (GB, fp32)":1.26,"Average":32.34,"BlurbsClusteringP2P":39.3,"BlurbsClusteringS2S":13.38,"TenKGnadClusteringP2P":41.69,"TenKGnadClusteringS2S":34.97}
{"index":15,"Rank":2,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/sentence-t5-xxl\">sentence-t5-xxl<\/a>","Model Size (Million Parameters)":4865,"Memory Usage (GB, fp32)":18.12,"Average":29.74,"BlurbsClusteringP2P":39.91,"BlurbsClusteringS2S":15.94,"TenKGnadClusteringP2P":43.43,"TenKGnadClusteringS2S":19.69}
{"index":9,"Rank":3,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embeddings-v2-base-de\">jina-embeddings-v2-base-de<\/a>","Model Size (Million Parameters)":161,"Memory Usage (GB, fp32)":0.6,"Average":29.55,"BlurbsClusteringP2P":35.49,"BlurbsClusteringS2S":16.17,"TenKGnadClusteringP2P":42.84,"TenKGnadClusteringS2S":23.69}
{"index":3,"Rank":4,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/aari1995\/German_Semantic_STS_V2\">German_Semantic_STS_V2<\/a>","Model Size (Million Parameters)":336,"Memory Usage (GB, fp32)":1.25,"Average":29.5,"BlurbsClusteringP2P":38.68,"BlurbsClusteringS2S":17.62,"TenKGnadClusteringP2P":38.0,"TenKGnadClusteringS2S":23.71}
{"index":14,"Rank":5,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/sentence-t5-large\">sentence-t5-large<\/a>","Model Size (Million Parameters)":168,"Memory Usage (GB, fp32)":0.63,"Average":27.49,"BlurbsClusteringP2P":35.33,"BlurbsClusteringS2S":13.27,"TenKGnadClusteringP2P":44.11,"TenKGnadClusteringS2S":17.26}
{"index":12,"Rank":6,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/paraphrase-multilingual-mpnet-base-v2\">paraphrase-multilingual-mpnet-base-v2<\/a>","Model Size (Million Parameters)":278,"Memory Usage (GB, fp32)":1.04,"Average":27.04,"BlurbsClusteringP2P":34.38,"BlurbsClusteringS2S":15.81,"TenKGnadClusteringP2P":35.96,"TenKGnadClusteringS2S":22.0}
{"index":4,"Rank":7,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/deepset\/gbert-base\">gbert-base<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Average":27.0,"BlurbsClusteringP2P":35.36,"BlurbsClusteringS2S":11.27,"TenKGnadClusteringP2P":37.16,"TenKGnadClusteringS2S":24.23}
{"index":16,"Rank":8,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/use-cmlm-multilingual\">use-cmlm-multilingual<\/a>","Model Size (Million Parameters)":472,"Memory Usage (GB, fp32)":1.76,"Average":26.9,"BlurbsClusteringP2P":29.63,"BlurbsClusteringS2S":15.24,"TenKGnadClusteringP2P":37.1,"TenKGnadClusteringS2S":25.64}
{"index":11,"Rank":9,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/paraphrase-multilingual-MiniLM-L12-v2\">paraphrase-multilingual-MiniLM-L12-v2<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"Average":26.3,"BlurbsClusteringP2P":32.46,"BlurbsClusteringS2S":14.33,"TenKGnadClusteringP2P":36.13,"TenKGnadClusteringS2S":22.26}
{"index":13,"Rank":10,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/sentence-t5-base\">sentence-t5-base<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Average":26.29,"BlurbsClusteringP2P":30.59,"BlurbsClusteringS2S":11.57,"TenKGnadClusteringP2P":44.88,"TenKGnadClusteringS2S":18.11}
{"index":8,"Rank":11,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/facebook\/SONAR\">SONAR<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":22.71,"BlurbsClusteringP2P":27.0,"BlurbsClusteringS2S":14.85,"TenKGnadClusteringP2P":21.83,"TenKGnadClusteringS2S":27.16}
{"index":17,"Rank":12,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/uklfr\/gottbert-base\">gottbert-base<\/a>","Model Size (Million Parameters)":127,"Memory Usage (GB, fp32)":0.47,"Average":21.46,"BlurbsClusteringP2P":34.49,"BlurbsClusteringS2S":8.37,"TenKGnadClusteringP2P":33.66,"TenKGnadClusteringS2S":9.34}
{"index":2,"Rank":13,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/T-Systems-onsite\/cross-en-de-roberta-sentence-transformer\">cross-en-de-roberta-sentence-transformer<\/a>","Model Size (Million Parameters)":278,"Memory Usage (GB, fp32)":1.04,"Average":19.49,"BlurbsClusteringP2P":30.82,"BlurbsClusteringS2S":12.69,"TenKGnadClusteringP2P":23.5,"TenKGnadClusteringS2S":10.94}
{"index":18,"Rank":14,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/xlm-roberta-large\">xlm-roberta-large<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Average":18.94,"BlurbsClusteringP2P":29.84,"BlurbsClusteringS2S":7.29,"TenKGnadClusteringP2P":32.46,"TenKGnadClusteringS2S":6.16}
{"index":0,"Rank":15,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/ClayAtlas\/winberta-base\">winberta-base<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":16.62,"BlurbsClusteringP2P":17.47,"BlurbsClusteringS2S":7.96,"TenKGnadClusteringP2P":29.79,"TenKGnadClusteringS2S":11.27}
{"index":10,"Rank":16,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/average_word_embeddings_komninos\">komninos<\/a>","Model Size (Million Parameters)":134,"Memory Usage (GB, fp32)":0.5,"Average":10.03,"BlurbsClusteringP2P":11.37,"BlurbsClusteringS2S":8.01,"TenKGnadClusteringP2P":15.89,"TenKGnadClusteringS2S":4.84}
{"index":7,"Rank":17,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/deepset\/gelectra-large\">gelectra-large<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Average":9.23,"BlurbsClusteringP2P":13.96,"BlurbsClusteringS2S":7.57,"TenKGnadClusteringP2P":11.49,"TenKGnadClusteringS2S":3.91}
{"index":6,"Rank":18,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/deepset\/gelectra-base\">gelectra-base<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Average":7.73,"BlurbsClusteringP2P":10.06,"BlurbsClusteringS2S":7.74,"TenKGnadClusteringP2P":9.02,"TenKGnadClusteringS2S":4.11}
{"index":1,"Rank":19,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Muennighoff\/SGPT-125M-weightedmean-nli-bitfit\">SGPT-125M-weightedmean-nli-bitfit<\/a>","Model Size (Million Parameters)":138,"Memory Usage (GB, fp32)":0.51,"Average":"","BlurbsClusteringP2P":"","BlurbsClusteringS2S":8.0,"TenKGnadClusteringP2P":"","TenKGnadClusteringS2S":""}