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Fix Paws-X naming #7

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Jul 11, 2024
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Fix Paws-X naming #7

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6035aa5
fix pasx
orionw Jul 11, 2024
3219cef
fix gte max seq len
orionw Jul 11, 2024
404b92c
fixed update
orionw Jul 11, 2024
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4 changes: 2 additions & 2 deletions boards_data/en/data_overall/default.jsonl
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{"index":91,"Rank":1,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Salesforce\/SFR-Embedding-2_R\">SFR-Embedding-2_R<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"Average (56 datasets)":70.31,"Classification Average (12 datasets)":89.05,"Clustering Average (11 datasets)":56.17,"PairClassification Average (3 datasets)":88.07,"Reranking Average (4 datasets)":60.14,"Retrieval Average (15 datasets)":60.18,"STS Average (10 datasets)":81.26,"Summarization Average (1 datasets)":30.71}
{"index":16,"Rank":2,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-Qwen2-7B-instruct\">gte-Qwen2-7B-instruct<\/a>","Model Size (Million Parameters)":7613,"Memory Usage (GB, fp32)":28.36,"Embedding Dimensions":3584,"Max Tokens":131072,"Average (56 datasets)":70.24,"Classification Average (12 datasets)":86.58,"Clustering Average (11 datasets)":56.92,"PairClassification Average (3 datasets)":85.79,"Reranking Average (4 datasets)":61.42,"Retrieval Average (15 datasets)":60.25,"STS Average (10 datasets)":83.04,"Summarization Average (1 datasets)":31.35}
{"index":16,"Rank":2,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-Qwen2-7B-instruct\">gte-Qwen2-7B-instruct<\/a>","Model Size (Million Parameters)":7613,"Memory Usage (GB, fp32)":28.36,"Embedding Dimensions":3584,"Max Tokens":32768,"Average (56 datasets)":70.24,"Classification Average (12 datasets)":86.58,"Clustering Average (11 datasets)":56.92,"PairClassification Average (3 datasets)":85.79,"Reranking Average (4 datasets)":61.42,"Retrieval Average (15 datasets)":60.25,"STS Average (10 datasets)":83.04,"Summarization Average (1 datasets)":31.35}
{"index":48,"Rank":3,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Intel\/neural-embedding-v1\">neural-embedding-v1<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average (56 datasets)":69.94,"Classification Average (12 datasets)":87.91,"Clustering Average (11 datasets)":54.32,"PairClassification Average (3 datasets)":87.68,"Reranking Average (4 datasets)":61.49,"Retrieval Average (15 datasets)":58.12,"STS Average (10 datasets)":85.24,"Summarization Average (1 datasets)":30.87}
{"index":197,"Rank":4,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nvidia\/NV-Embed-v1\">NV-Embed-v1<\/a>","Model Size (Million Parameters)":7851,"Memory Usage (GB, fp32)":29.25,"Embedding Dimensions":4096,"Max Tokens":32768,"Average (56 datasets)":69.32,"Classification Average (12 datasets)":87.35,"Clustering Average (11 datasets)":52.8,"PairClassification Average (3 datasets)":86.91,"Reranking Average (4 datasets)":60.54,"Retrieval Average (15 datasets)":59.36,"STS Average (10 datasets)":82.84,"Summarization Average (1 datasets)":31.2}
{"index":6,"Rank":5,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/docs.voyageai.com\/embeddings\/\">voyage-large-2-instruct<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":16000,"Average (56 datasets)":68.28,"Classification Average (12 datasets)":81.49,"Clustering Average (11 datasets)":53.35,"PairClassification Average (3 datasets)":89.24,"Reranking Average (4 datasets)":60.09,"Retrieval Average (15 datasets)":58.28,"STS Average (10 datasets)":84.58,"Summarization Average (1 datasets)":30.84}
{"index":54,"Rank":6,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Linq-AI-Research\/Linq-Embed-Mistral\">Linq-Embed-Mistral<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"Average (56 datasets)":68.17,"Classification Average (12 datasets)":80.2,"Clustering Average (11 datasets)":51.42,"PairClassification Average (3 datasets)":88.35,"Reranking Average (4 datasets)":60.29,"Retrieval Average (15 datasets)":60.19,"STS Average (10 datasets)":84.97,"Summarization Average (1 datasets)":30.98}
{"index":92,"Rank":7,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Salesforce\/SFR-Embedding-Mistral\">SFR-Embedding-Mistral<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"Average (56 datasets)":67.56,"Classification Average (12 datasets)":78.33,"Clustering Average (11 datasets)":51.67,"PairClassification Average (3 datasets)":88.54,"Reranking Average (4 datasets)":60.64,"Retrieval Average (15 datasets)":59.0,"STS Average (10 datasets)":85.05,"Summarization Average (1 datasets)":31.16}
{"index":14,"Rank":8,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-Qwen1.5-7B-instruct\">gte-Qwen1.5-7B-instruct<\/a>","Model Size (Million Parameters)":7099,"Memory Usage (GB, fp32)":26.45,"Embedding Dimensions":4096,"Max Tokens":32768,"Average (56 datasets)":67.34,"Classification Average (12 datasets)":79.6,"Clustering Average (11 datasets)":55.83,"PairClassification Average (3 datasets)":87.38,"Reranking Average (4 datasets)":60.13,"Retrieval Average (15 datasets)":56.24,"STS Average (10 datasets)":82.42,"Summarization Average (1 datasets)":31.46}
{"index":15,"Rank":9,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-Qwen2-1.5B-instruct\">gte-Qwen2-1.5B-instruct<\/a>","Model Size (Million Parameters)":1776,"Memory Usage (GB, fp32)":6.62,"Embedding Dimensions":4096,"Max Tokens":131072,"Average (56 datasets)":67.16,"Classification Average (12 datasets)":82.47,"Clustering Average (11 datasets)":48.75,"PairClassification Average (3 datasets)":87.51,"Reranking Average (4 datasets)":59.98,"Retrieval Average (15 datasets)":58.29,"STS Average (10 datasets)":82.73,"Summarization Average (1 datasets)":31.17}
{"index":15,"Rank":9,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-Qwen2-1.5B-instruct\">gte-Qwen2-1.5B-instruct<\/a>","Model Size (Million Parameters)":1776,"Memory Usage (GB, fp32)":6.62,"Embedding Dimensions":4096,"Max Tokens":32768,"Average (56 datasets)":67.16,"Classification Average (12 datasets)":82.47,"Clustering Average (11 datasets)":48.75,"PairClassification Average (3 datasets)":87.51,"Reranking Average (4 datasets)":59.98,"Retrieval Average (15 datasets)":58.29,"STS Average (10 datasets)":82.73,"Summarization Average (1 datasets)":31.17}
{"index":9,"Rank":10,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/docs.voyageai.com\/embeddings\/\">voyage-lite-02-instruct<\/a>","Model Size (Million Parameters)":1220,"Memory Usage (GB, fp32)":4.54,"Embedding Dimensions":1024,"Max Tokens":4000,"Average (56 datasets)":67.13,"Classification Average (12 datasets)":79.25,"Clustering Average (11 datasets)":52.42,"PairClassification Average (3 datasets)":86.87,"Reranking Average (4 datasets)":58.24,"Retrieval Average (15 datasets)":56.6,"STS Average (10 datasets)":85.79,"Summarization Average (1 datasets)":31.01}
{"index":39,"Rank":11,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/GritLM\/GritLM-7B\">GritLM-7B<\/a>","Model Size (Million Parameters)":7242,"Memory Usage (GB, fp32)":26.98,"Embedding Dimensions":4096,"Max Tokens":32768,"Average (56 datasets)":66.76,"Classification Average (12 datasets)":79.46,"Clustering Average (11 datasets)":50.61,"PairClassification Average (3 datasets)":87.16,"Reranking Average (4 datasets)":60.49,"Retrieval Average (15 datasets)":57.41,"STS Average (10 datasets)":83.35,"Summarization Average (1 datasets)":30.37}
{"index":142,"Rank":12,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-mistral-7b-instruct\">e5-mistral-7b-instruct<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"Average (56 datasets)":66.63,"Classification Average (12 datasets)":78.47,"Clustering Average (11 datasets)":50.26,"PairClassification Average (3 datasets)":88.34,"Reranking Average (4 datasets)":60.21,"Retrieval Average (15 datasets)":56.89,"STS Average (10 datasets)":84.63,"Summarization Average (1 datasets)":31.4}
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4 changes: 2 additions & 2 deletions boards_data/fr/data_overall/default.jsonl
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Original file line number Diff line number Diff line change
@@ -1,5 +1,5 @@
{"index":9,"Rank":1,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-Qwen2-7B-instruct\">gte-Qwen2-7B-instruct<\/a>","Model Size (Million Parameters)":7613,"Memory Usage (GB, fp32)":28.36,"Embedding Dimensions":3584,"Max Tokens":131072,"Average (26 datasets)":68.25,"Classification Average (6 datasets)":81.76,"Clustering Average (7 datasets)":55.56,"PairClassification Average (2 datasets)":90.43,"Reranking Average (2 datasets)":78.7,"Retrieval Average (5 datasets)":55.65,"STS Average (3 datasets)":82.31,"Summarization Average (1 datasets)":31.45}
{"index":8,"Rank":2,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-Qwen2-1.5B-instruct\">gte-Qwen2-1.5B-instruct<\/a>","Model Size (Million Parameters)":1776,"Memory Usage (GB, fp32)":6.62,"Embedding Dimensions":4096,"Max Tokens":131072,"Average (26 datasets)":66.6,"Classification Average (6 datasets)":78.02,"Clustering Average (7 datasets)":55.01,"PairClassification Average (2 datasets)":86.88,"Reranking Average (2 datasets)":83.76,"Retrieval Average (5 datasets)":52.56,"STS Average (3 datasets)":81.26,"Summarization Average (1 datasets)":30.5}
{"index":9,"Rank":1,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-Qwen2-7B-instruct\">gte-Qwen2-7B-instruct<\/a>","Model Size (Million Parameters)":7613,"Memory Usage (GB, fp32)":28.36,"Embedding Dimensions":3584,"Max Tokens":32768,"Average (26 datasets)":68.25,"Classification Average (6 datasets)":81.76,"Clustering Average (7 datasets)":55.56,"PairClassification Average (2 datasets)":90.43,"Reranking Average (2 datasets)":78.7,"Retrieval Average (5 datasets)":55.65,"STS Average (3 datasets)":82.31,"Summarization Average (1 datasets)":31.45}
{"index":8,"Rank":2,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-Qwen2-1.5B-instruct\">gte-Qwen2-1.5B-instruct<\/a>","Model Size (Million Parameters)":1776,"Memory Usage (GB, fp32)":6.62,"Embedding Dimensions":4096,"Max Tokens":32768,"Average (26 datasets)":66.6,"Classification Average (6 datasets)":78.02,"Clustering Average (7 datasets)":55.01,"PairClassification Average (2 datasets)":86.88,"Reranking Average (2 datasets)":83.76,"Retrieval Average (5 datasets)":52.56,"STS Average (3 datasets)":81.26,"Summarization Average (1 datasets)":30.5}
{"index":4,"Rank":3,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/docs.voyageai.com\/embeddings\/\">voyage-multilingual-2<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":32000,"Average (26 datasets)":61.65,"Classification Average (6 datasets)":68.56,"Clustering Average (7 datasets)":46.57,"PairClassification Average (2 datasets)":78.66,"Reranking Average (2 datasets)":82.59,"Retrieval Average (5 datasets)":54.56,"STS Average (3 datasets)":80.13,"Summarization Average (1 datasets)":29.96}
{"index":3,"Rank":4,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/docs.voyageai.com\/embeddings\/\">voyage-law-2<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":16000,"Average (26 datasets)":60.58,"Classification Average (6 datasets)":68.45,"Clustering Average (7 datasets)":44.23,"PairClassification Average (2 datasets)":77.3,"Reranking Average (2 datasets)":82.06,"Retrieval Average (5 datasets)":52.98,"STS Average (3 datasets)":80.29,"Summarization Average (1 datasets)":30.34}
{"index":0,"Rank":5,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/docs.mistral.ai\/guides\/embeddings\">mistral-embed<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":"","Average (26 datasets)":59.41,"Classification Average (6 datasets)":68.61,"Clustering Average (7 datasets)":44.74,"PairClassification Average (2 datasets)":77.32,"Reranking Average (2 datasets)":80.46,"Retrieval Average (5 datasets)":46.81,"STS Average (3 datasets)":79.56,"Summarization Average (1 datasets)":31.47}
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4 changes: 2 additions & 2 deletions boards_data/pl/data_overall/default.jsonl
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Original file line number Diff line number Diff line change
@@ -1,5 +1,5 @@
{"index":2,"Rank":1,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-Qwen2-7B-instruct\">gte-Qwen2-7B-instruct<\/a>","Model Size (Million Parameters)":7613,"Memory Usage (GB, fp32)":28.36,"Embedding Dimensions":3584,"Max Tokens":131072,"Average (26 datasets)":67.86,"Classification Average (7 datasets)":77.84,"Clustering Average (1 datasets)":51.36,"PairClassification Average (4 datasets)":88.48,"Retrieval Average (11 datasets)":54.69,"STS Average (3 datasets)":70.86}
{"index":1,"Rank":2,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-Qwen2-1.5B-instruct\">gte-Qwen2-1.5B-instruct<\/a>","Model Size (Million Parameters)":1776,"Memory Usage (GB, fp32)":6.62,"Embedding Dimensions":4096,"Max Tokens":131072,"Average (26 datasets)":64.04,"Classification Average (7 datasets)":72.29,"Clustering Average (1 datasets)":44.59,"PairClassification Average (4 datasets)":84.87,"Retrieval Average (11 datasets)":51.88,"STS Average (3 datasets)":68.12}
{"index":2,"Rank":1,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-Qwen2-7B-instruct\">gte-Qwen2-7B-instruct<\/a>","Model Size (Million Parameters)":7613,"Memory Usage (GB, fp32)":28.36,"Embedding Dimensions":3584,"Max Tokens":32768,"Average (26 datasets)":67.86,"Classification Average (7 datasets)":77.84,"Clustering Average (1 datasets)":51.36,"PairClassification Average (4 datasets)":88.48,"Retrieval Average (11 datasets)":54.69,"STS Average (3 datasets)":70.86}
{"index":1,"Rank":2,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-Qwen2-1.5B-instruct\">gte-Qwen2-1.5B-instruct<\/a>","Model Size (Million Parameters)":1776,"Memory Usage (GB, fp32)":6.62,"Embedding Dimensions":4096,"Max Tokens":32768,"Average (26 datasets)":64.04,"Classification Average (7 datasets)":72.29,"Clustering Average (1 datasets)":44.59,"PairClassification Average (4 datasets)":84.87,"Retrieval Average (11 datasets)":51.88,"STS Average (3 datasets)":68.12}
{"index":34,"Rank":3,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sdadas\/mmlw-roberta-large\">mmlw-roberta-large<\/a>","Model Size (Million Parameters)":435,"Memory Usage (GB, fp32)":1.62,"Embedding Dimensions":1024,"Max Tokens":514,"Average (26 datasets)":63.23,"Classification Average (7 datasets)":66.39,"Clustering Average (1 datasets)":31.16,"PairClassification Average (4 datasets)":89.13,"Retrieval Average (11 datasets)":52.71,"STS Average (3 datasets)":70.59}
{"index":31,"Rank":4,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sdadas\/mmlw-e5-large\">mmlw-e5-large<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"Average (26 datasets)":61.17,"Classification Average (7 datasets)":61.07,"Clustering Average (1 datasets)":30.62,"PairClassification Average (4 datasets)":85.9,"Retrieval Average (11 datasets)":52.63,"STS Average (3 datasets)":69.98}
{"index":33,"Rank":5,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sdadas\/mmlw-roberta-base\">mmlw-roberta-base<\/a>","Model Size (Million Parameters)":124,"Memory Usage (GB, fp32)":0.46,"Embedding Dimensions":768,"Max Tokens":514,"Average (26 datasets)":61.05,"Classification Average (7 datasets)":62.92,"Clustering Average (1 datasets)":33.08,"PairClassification Average (4 datasets)":88.14,"Retrieval Average (11 datasets)":49.92,"STS Average (3 datasets)":70.7}
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