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orionweller commited on Sep 20

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Automated Leaderboard Update

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all_data_tasks/0/default.jsonl +0 -0
all_data_tasks/1/default.jsonl +0 -0
all_data_tasks/10/default.jsonl +0 -0
all_data_tasks/11/default.jsonl +0 -0
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all_data_tasks/16/default.jsonl +0 -0
all_data_tasks/17/default.jsonl +85 -83
all_data_tasks/18/default.jsonl +88 -86
all_data_tasks/19/default.jsonl +86 -84
all_data_tasks/2/default.jsonl +0 -0
all_data_tasks/20/default.jsonl +86 -84
all_data_tasks/21/default.jsonl +91 -89
all_data_tasks/22/default.jsonl +84 -82
all_data_tasks/26/default.jsonl +60 -58
all_data_tasks/27/default.jsonl +50 -48
all_data_tasks/28/default.jsonl +55 -53
all_data_tasks/29/default.jsonl +48 -46
all_data_tasks/3/default.jsonl +0 -0
all_data_tasks/30/default.jsonl +58 -56
all_data_tasks/39/default.jsonl +0 -0
all_data_tasks/4/default.jsonl +0 -0
all_data_tasks/40/default.jsonl +0 -0
all_data_tasks/5/default.jsonl +0 -0
all_data_tasks/6/default.jsonl +0 -0
all_data_tasks/8/default.jsonl +0 -0
all_data_tasks/9/default.jsonl +0 -0
boards_data/en/data_overall/default.jsonl +0 -0
boards_data/en/data_tasks/Classification/default.jsonl +0 -0
boards_data/en/data_tasks/Clustering/default.jsonl +0 -0
boards_data/en/data_tasks/PairClassification/default.jsonl +0 -0
boards_data/en/data_tasks/Reranking/default.jsonl +0 -0
boards_data/en/data_tasks/Retrieval/default.jsonl +0 -0
boards_data/en/data_tasks/STS/default.jsonl +0 -0
boards_data/en/data_tasks/Summarization/default.jsonl +0 -0
boards_data/fr/data_overall/default.jsonl +0 -0
boards_data/fr/data_tasks/Classification/default.jsonl +0 -0
boards_data/fr/data_tasks/Clustering/default.jsonl +85 -83
boards_data/fr/data_tasks/PairClassification/default.jsonl +88 -86
boards_data/fr/data_tasks/Reranking/default.jsonl +86 -84
boards_data/fr/data_tasks/Retrieval/default.jsonl +86 -84
boards_data/fr/data_tasks/STS/default.jsonl +91 -89
boards_data/fr/data_tasks/Summarization/default.jsonl +84 -82
boards_data/other-cls/data_tasks/Classification/default.jsonl +0 -0
boards_data/other-sts/data_tasks/STS/default.jsonl +0 -0
boards_data/pl/data_overall/default.jsonl +50 -48
boards_data/pl/data_tasks/Classification/default.jsonl +60 -58
boards_data/pl/data_tasks/Clustering/default.jsonl +50 -48
boards_data/pl/data_tasks/PairClassification/default.jsonl +55 -53
boards_data/pl/data_tasks/Retrieval/default.jsonl +48 -46

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@@ -1,86 +1,88 @@
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-{"index":64,"Rank":29,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/manu\/sentence_croissant_alpha_v0.3\">sentence_croissant_alpha_v0.3<\/a>","Model Size (Million Parameters)":1280,"Memory Usage (GB, fp32)":4.77,"Embedding Dimensions":2048,"Max Tokens":2048,"Average":40.4,"AlloProfClusteringP2P":56.73,"AlloProfClusteringS2S":37.62,"HALClusteringS2S":25.76,"MLSUMClusteringP2P (fr)":41.82,"MLSUMClusteringS2S (fr)":41.83,"MasakhaNEWSClusteringP2P (fra)":42.63,"MasakhaNEWSClusteringS2S (fra)":36.4}
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@@ -1,87 +1,89 @@
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-{"index":55,"Rank":32,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/multilingual-e5-large\">multilingual-e5-large<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"Average":76.18,"OpusparcusPC (fr)":93.68,"PawsXPairClassification (fr)":58.68}
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-{"index":77,"Rank":34,"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,"Embedding Dimensions":768,"Max Tokens":514,"Average":75.8,"OpusparcusPC (fr)":93.45,"PawsXPairClassification (fr)":58.14}
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-{"index":79,"Rank":36,"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,"Embedding Dimensions":768,"Max Tokens":512,"Average":75.44,"OpusparcusPC (fr)":91.19,"PawsXPairClassification (fr)":59.69}
-{"index":43,"Rank":37,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/dangvantuan\/sentence-camembert-base\">sentence-camembert-base<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average":74.74,"OpusparcusPC (fr)":92.05,"PawsXPairClassification (fr)":57.44}
-{"index":76,"Rank":38,"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,"Embedding Dimensions":384,"Max Tokens":512,"Average":74.47,"OpusparcusPC (fr)":92.01,"PawsXPairClassification (fr)":56.94}
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-{"index":15,"Rank":41,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Cohere\/Cohere-embed-multilingual-light-v3.0\">Cohere-embed-multilingual-light-v3.0<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":384,"Max Tokens":512,"Average":74.14,"OpusparcusPC (fr)":90.92,"PawsXPairClassification (fr)":57.35}
-{"index":57,"Rank":42,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/multilingual-e5-small\">multilingual-e5-small<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"Embedding Dimensions":384,"Max Tokens":512,"Average":74.1,"OpusparcusPC (fr)":92.52,"PawsXPairClassification (fr)":55.68}
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-{"index":75,"Rank":46,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/multi-qa-MiniLM-L6-cos-v1\">multi-qa-MiniLM-L6-cos-v1<\/a>","Model Size (Million Parameters)":23,"Memory Usage (GB, fp32)":0.09,"Embedding Dimensions":384,"Max Tokens":512,"Average":72.77,"OpusparcusPC (fr)":88.07,"PawsXPairClassification (fr)":57.48}
-{"index":78,"Rank":47,"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,"Embedding Dimensions":768,"Max Tokens":512,"Average":72.42,"OpusparcusPC (fr)":89.41,"PawsXPairClassification (fr)":55.43}
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-{"index":22,"Rank":53,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Geotrend\/bert-base-25lang-cased\">bert-base-25lang-cased<\/a>","Model Size (Million Parameters)":138,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":512,"Average":70.59,"OpusparcusPC (fr)":87.78,"PawsXPairClassification (fr)":53.4}
-{"index":20,"Rank":54,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Geotrend\/bert-base-10lang-cased\">bert-base-10lang-cased<\/a>","Model Size (Million Parameters)":138,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":512,"Average":70.59,"OpusparcusPC (fr)":87.78,"PawsXPairClassification (fr)":53.4}
-{"index":51,"Rank":55,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/google-bert\/bert-base-multilingual-cased\">bert-base-multilingual-cased<\/a>","Model Size (Million Parameters)":179,"Memory Usage (GB, fp32)":0.67,"Embedding Dimensions":768,"Max Tokens":512,"Average":70.59,"OpusparcusPC (fr)":87.76,"PawsXPairClassification (fr)":53.41}
-{"index":21,"Rank":56,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Geotrend\/bert-base-15lang-cased\">bert-base-15lang-cased<\/a>","Model Size (Million Parameters)":138,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":512,"Average":70.56,"OpusparcusPC (fr)":87.73,"PawsXPairClassification (fr)":53.38}
-{"index":52,"Rank":57,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/google-bert\/bert-base-multilingual-uncased\">bert-base-multilingual-uncased<\/a>","Model Size (Million Parameters)":168,"Memory Usage (GB, fp32)":0.63,"Embedding Dimensions":768,"Max Tokens":512,"Average":70.43,"OpusparcusPC (fr)":87.53,"PawsXPairClassification (fr)":53.33}
-{"index":50,"Rank":58,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/flaubert\/flaubert_large_cased\">flaubert_large_cased<\/a>","Model Size (Million Parameters)":372,"Memory Usage (GB, fp32)":1.39,"Embedding Dimensions":1024,"Max Tokens":512,"Average":70.42,"OpusparcusPC (fr)":85.91,"PawsXPairClassification (fr)":54.94}
-{"index":88,"Rank":59,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/xlm-roberta-base\">xlm-roberta-base<\/a>","Model Size (Million Parameters)":279,"Memory Usage (GB, fp32)":1.04,"Embedding Dimensions":768,"Max Tokens":514,"Average":68.82,"OpusparcusPC (fr)":85.91,"PawsXPairClassification (fr)":51.73}
-{"index":89,"Rank":60,"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,"Embedding Dimensions":1024,"Max Tokens":514,"Average":68.62,"OpusparcusPC (fr)":83.79,"PawsXPairClassification (fr)":53.44}
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 {"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":90.43,"OpusparcusPC (fr)":100.0,"PawsXPairClassification (fr)":80.86}
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all_data_tasks/19/default.jsonl CHANGED Viewed

@@ -1,86 +1,88 @@
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 {"index":11,"Rank":2,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-multilingual-gemma2\">bge-multilingual-gemma2<\/a>","Model Size (Million Parameters)":9242,"Memory Usage (GB, fp32)":34.43,"Embedding Dimensions":3584,"Max Tokens":8192,"Average":85.22,"AlloprofReranking":78.62,"SyntecReranking":91.83}
 {"index":8,"Rank":3,"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":1536,"Max Tokens":131072,"Average":83.76,"AlloprofReranking":73.49,"SyntecReranking":94.03}
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all_data_tasks/2/default.jsonl CHANGED Viewed

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@@ -1,86 +1,88 @@
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 {"index":9,"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":55.65,"AlloprofRetrieval":58.88,"BSARDRetrieval":18.8,"MintakaRetrieval (fr)":54.03,"SyntecRetrieval":78.25,"XPQARetrieval (fr)":68.3}
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@@ -1,90 +1,92 @@
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 {"index":11,"Rank":5,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-multilingual-gemma2\">bge-multilingual-gemma2<\/a>","Model Size (Million Parameters)":9242,"Memory Usage (GB, fp32)":34.43,"Embedding Dimensions":3584,"Max Tokens":8192,"Average":82.59,"STS22 (fr)":83.28,"STSBenchmarkMultilingualSTS (fr)":85.09,"SICKFr":79.39}
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@@ -1,86 +1,88 @@
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 {"index":5,"Rank":7,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/github.com\/facebookresearch\/LASER\">LASER2<\/a>","Model Size (Million Parameters)":43,"Memory Usage (GB, fp32)":0.16,"Embedding Dimensions":1024,"Max Tokens":"N\/A","SummEvalFr":31.56}
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 {"index":0,"Rank":9,"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":"","SummEvalFr":31.47}
 {"index":9,"Rank":10,"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,"SummEvalFr":31.45}
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 {"index":8,"Rank":22,"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":1536,"Max Tokens":131072,"SummEvalFr":30.5}
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@@ -1,49 +1,51 @@
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@@ -1,48 +1,50 @@
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 {"index":2,"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":70.86,"CDSC-R":92.66,"SICK-R-PL":78.89,"STS22 (pl)":41.02}
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@@ -1,86 +1,88 @@
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@@ -1,87 +1,89 @@
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-{"index":45,"Rank":82,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/deepvk\/USER-base\">USER-base<\/a>","Model Size (Million Parameters)":124,"Memory Usage (GB, fp32)":0.46,"Embedding Dimensions":768,"Max Tokens":512,"Average":"","OpusparcusPC (fr)":"","PawsXPairClassification (fr)":""}
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-{"index":47,"Rank":84,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/facebook\/SONAR\">SONAR<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":"","OpusparcusPC (fr)":"","PawsXPairClassification (fr)":71.36}
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 {"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":90.43,"OpusparcusPC (fr)":100.0,"PawsXPairClassification (fr)":80.86}
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 {"index":9,"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":55.65,"AlloprofRetrieval":58.88,"BSARDRetrieval":18.8,"MintakaRetrieval (fr)":54.03,"SyntecRetrieval":78.25,"XPQARetrieval (fr)":68.3}
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boards_data/fr/data_tasks/STS/default.jsonl CHANGED Viewed

@@ -1,90 +1,92 @@
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 {"index":11,"Rank":5,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-multilingual-gemma2\">bge-multilingual-gemma2<\/a>","Model Size (Million Parameters)":9242,"Memory Usage (GB, fp32)":34.43,"Embedding Dimensions":3584,"Max Tokens":8192,"Average":82.59,"STS22 (fr)":83.28,"STSBenchmarkMultilingualSTS (fr)":85.09,"SICKFr":79.39}
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 {"index":5,"Rank":7,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/github.com\/facebookresearch\/LASER\">LASER2<\/a>","Model Size (Million Parameters)":43,"Memory Usage (GB, fp32)":0.16,"Embedding Dimensions":1024,"Max Tokens":"N\/A","SummEvalFr":31.56}
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 {"index":0,"Rank":9,"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":"","SummEvalFr":31.47}
 {"index":9,"Rank":10,"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,"SummEvalFr":31.45}
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 {"index":8,"Rank":22,"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":1536,"Max Tokens":131072,"SummEvalFr":30.5}
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 {"index":2,"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 (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}
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boards_data/pl/data_tasks/Classification/default.jsonl CHANGED Viewed

@@ -1,60 +1,62 @@
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@@ -1,49 +1,51 @@
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@@ -1,48 +1,50 @@
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