update results

embeddings-benchmark · Sep 12, 2024 · 4094cf4 · 4094cf4
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diff --git a/EXTERNAL_MODEL_RESULTS.json b/EXTERNAL_MODEL_RESULTS.json
@@ -24900,5 +24900,37 @@
                 }
             ]
         }
+    },
+    "GritLM-7B-noinstruct": {
+        "BitextMining": {
+            "f1": []
+        },
+        "Classification": {
+            "accuracy": []
+        },
+        "Clustering": {
+            "v_measure": []
+        },
+        "PairClassification": {
+            "max_ap": []
+        },
+        "Reranking": {
+            "map": []
+        },
+        "Retrieval": {
+            "ndcg_at_10": []
+        },
+        "STS": {
+            "cosine_spearman": []
+        },
+        "Summarization": {
+            "cosine_spearman": []
+        },
+        "MultilabelClassification": {
+            "accuracy": []
+        },
+        "InstructionRetrieval": {
+            "p-MRR": []
+        }
     }
 }
diff --git a/all_data_tasks/0/default.jsonl b/all_data_tasks/0/default.jsonl
diff --git a/all_data_tasks/1/default.jsonl b/all_data_tasks/1/default.jsonl
diff --git a/all_data_tasks/10/default.jsonl b/all_data_tasks/10/default.jsonl
diff --git a/all_data_tasks/11/default.jsonl b/all_data_tasks/11/default.jsonl
diff --git a/all_data_tasks/12/default.jsonl b/all_data_tasks/12/default.jsonl
diff --git a/all_data_tasks/13/default.jsonl b/all_data_tasks/13/default.jsonl
diff --git a/all_data_tasks/16/default.jsonl b/all_data_tasks/16/default.jsonl
diff --git a/all_data_tasks/17/default.jsonl b/all_data_tasks/17/default.jsonl
diff --git a/all_data_tasks/18/default.jsonl b/all_data_tasks/18/default.jsonl
diff --git a/all_data_tasks/19/default.jsonl b/all_data_tasks/19/default.jsonl
diff --git a/all_data_tasks/2/default.jsonl b/all_data_tasks/2/default.jsonl
diff --git a/all_data_tasks/20/default.jsonl b/all_data_tasks/20/default.jsonl
diff --git a/all_data_tasks/21/default.jsonl b/all_data_tasks/21/default.jsonl
diff --git a/all_data_tasks/22/default.jsonl b/all_data_tasks/22/default.jsonl
diff --git a/all_data_tasks/25/default.jsonl b/all_data_tasks/25/default.jsonl
@@ -1,7 +1,7 @@
 {"index":7,"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":17,"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":1,"Rank":3,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/MAY-A\/jina-embeddings-v2-base-de-Q5_K_M-GGUF\">jina-embeddings-v2-base-de-Q5_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":29.55,"BlurbsClusteringP2P":35.49,"BlurbsClusteringS2S":16.17,"TenKGnadClusteringP2P":42.84,"TenKGnadClusteringS2S":23.69}
-{"index":11,"Rank":4,"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":11,"Rank":4,"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)":80,"Memory Usage (GB, fp32)":0.3,"Average":29.55,"BlurbsClusteringP2P":35.49,"BlurbsClusteringS2S":16.17,"TenKGnadClusteringP2P":42.84,"TenKGnadClusteringS2S":23.69}
 {"index":5,"Rank":5,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/chris-code\/jina-embeddings-v2-base-de-Q8_0-GGUF\">jina-embeddings-v2-base-de-Q8_0-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":29.55,"BlurbsClusteringP2P":35.49,"BlurbsClusteringS2S":16.17,"TenKGnadClusteringP2P":42.84,"TenKGnadClusteringS2S":23.69}
 {"index":4,"Rank":6,"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":16,"Rank":7,"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}

diff --git a/all_data_tasks/26/default.jsonl b/all_data_tasks/26/default.jsonl
diff --git a/all_data_tasks/27/default.jsonl b/all_data_tasks/27/default.jsonl
@@ -1,25 +1,25 @@
 {"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,"8TagsClustering":51.36}
 {"index":4,"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,"8TagsClustering":50.29}
-{"index":1,"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,"8TagsClustering":44.59}
-{"index":17,"Rank":4,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Santyyy\/gte-Qwen2-1.5B-instruct-Q4_K_S-GGUF\">gte-Qwen2-1.5B-instruct-Q4_K_S-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","8TagsClustering":44.59}
-{"index":25,"Rank":5,"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,"8TagsClustering":33.88}
-{"index":32,"Rank":6,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/leeloolee\/intention\">intention<\/a>","Model Size (Million Parameters)":306,"Memory Usage (GB, fp32)":1.14,"8TagsClustering":33.67}
+{"index":1,"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)":1780,"Memory Usage (GB, fp32)":6.63,"8TagsClustering":44.59}
+{"index":23,"Rank":4,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Santyyy\/gte-Qwen2-1.5B-instruct-Q4_K_S-GGUF\">gte-Qwen2-1.5B-instruct-Q4_K_S-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","8TagsClustering":44.59}
+{"index":31,"Rank":5,"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,"8TagsClustering":33.88}
+{"index":38,"Rank":6,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/leeloolee\/intention\">intention<\/a>","Model Size (Million Parameters)":306,"Memory Usage (GB, fp32)":1.14,"8TagsClustering":33.67}
 {"index":3,"Rank":7,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-multilingual-base\">gte-multilingual-base<\/a>","Model Size (Million Parameters)":305,"Memory Usage (GB, fp32)":1.14,"8TagsClustering":33.67}
-{"index":40,"Rank":8,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sdadas\/st-polish-paraphrase-from-mpnet\">st-polish-paraphrase-from-mpnet<\/a>","Model Size (Million Parameters)":125,"Memory Usage (GB, fp32)":0.47,"8TagsClustering":33.15}
-{"index":37,"Rank":9,"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,"8TagsClustering":33.08}
-{"index":16,"Rank":10,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/OrlikB\/st-polish-kartonberta-base-alpha-v1\">st-polish-kartonberta-base-alpha-v1<\/a>","Model Size (Million Parameters)":124,"Memory Usage (GB, fp32)":0.46,"8TagsClustering":32.85}
-{"index":36,"Rank":11,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sdadas\/mmlw-e5-small\">mmlw-e5-small<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"8TagsClustering":31.77}
-{"index":39,"Rank":12,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sdadas\/st-polish-paraphrase-from-distilroberta\">st-polish-paraphrase-from-distilroberta<\/a>","Model Size (Million Parameters)":125,"Memory Usage (GB, fp32)":0.47,"8TagsClustering":31.68}
-{"index":29,"Rank":13,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/ipipan\/silver-retriever-base-v1\">silver-retriever-base-v1<\/a>","Model Size (Million Parameters)":125,"Memory Usage (GB, fp32)":0.47,"8TagsClustering":31.49}
-{"index":38,"Rank":14,"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,"8TagsClustering":31.16}
-{"index":35,"Rank":15,"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,"8TagsClustering":30.62}
-{"index":34,"Rank":16,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sdadas\/mmlw-e5-base\">mmlw-e5-base<\/a>","Model Size (Million Parameters)":278,"Memory Usage (GB, fp32)":1.04,"8TagsClustering":30.25}
-{"index":28,"Rank":17,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/ipipan\/herbert-base-retrieval-v2\">herbert-base-retrieval-v2<\/a>","Model Size (Million Parameters)":125,"Memory Usage (GB, fp32)":0.47,"8TagsClustering":28.15}
-{"index":51,"Rank":18,"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,"8TagsClustering":25.62}
-{"index":24,"Rank":19,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/multilingual-e5-base\">multilingual-e5-base<\/a>","Model Size (Million Parameters)":278,"Memory Usage (GB, fp32)":1.04,"8TagsClustering":24.97}
-{"index":27,"Rank":20,"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,"8TagsClustering":23.92}
-{"index":50,"Rank":21,"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,"8TagsClustering":23.24}
-{"index":22,"Rank":22,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/facebook\/SONAR\">SONAR<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","8TagsClustering":18.79}
-{"index":41,"Rank":23,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/LaBSE\">LaBSE<\/a>","Model Size (Million Parameters)":471,"Memory Usage (GB, fp32)":1.75,"8TagsClustering":12.96}
-{"index":47,"Rank":24,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/distiluse-base-multilingual-cased-v2\">distiluse-base-multilingual-cased-v2<\/a>","Model Size (Million Parameters)":135,"Memory Usage (GB, fp32)":0.5,"8TagsClustering":12.51}
+{"index":46,"Rank":8,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sdadas\/st-polish-paraphrase-from-mpnet\">st-polish-paraphrase-from-mpnet<\/a>","Model Size (Million Parameters)":125,"Memory Usage (GB, fp32)":0.47,"8TagsClustering":33.15}
+{"index":43,"Rank":9,"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,"8TagsClustering":33.08}
+{"index":22,"Rank":10,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/OrlikB\/st-polish-kartonberta-base-alpha-v1\">st-polish-kartonberta-base-alpha-v1<\/a>","Model Size (Million Parameters)":124,"Memory Usage (GB, fp32)":0.46,"8TagsClustering":32.85}
+{"index":42,"Rank":11,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sdadas\/mmlw-e5-small\">mmlw-e5-small<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"8TagsClustering":31.77}
+{"index":45,"Rank":12,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sdadas\/st-polish-paraphrase-from-distilroberta\">st-polish-paraphrase-from-distilroberta<\/a>","Model Size (Million Parameters)":125,"Memory Usage (GB, fp32)":0.47,"8TagsClustering":31.68}
+{"index":35,"Rank":13,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/ipipan\/silver-retriever-base-v1\">silver-retriever-base-v1<\/a>","Model Size (Million Parameters)":125,"Memory Usage (GB, fp32)":0.47,"8TagsClustering":31.49}
+{"index":44,"Rank":14,"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,"8TagsClustering":31.16}
+{"index":41,"Rank":15,"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,"8TagsClustering":30.62}
+{"index":40,"Rank":16,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sdadas\/mmlw-e5-base\">mmlw-e5-base<\/a>","Model Size (Million Parameters)":278,"Memory Usage (GB, fp32)":1.04,"8TagsClustering":30.25}
+{"index":34,"Rank":17,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/ipipan\/herbert-base-retrieval-v2\">herbert-base-retrieval-v2<\/a>","Model Size (Million Parameters)":125,"Memory Usage (GB, fp32)":0.47,"8TagsClustering":28.15}
+{"index":57,"Rank":18,"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,"8TagsClustering":25.62}
+{"index":30,"Rank":19,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/multilingual-e5-base\">multilingual-e5-base<\/a>","Model Size (Million Parameters)":278,"Memory Usage (GB, fp32)":1.04,"8TagsClustering":24.97}
+{"index":33,"Rank":20,"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,"8TagsClustering":23.92}
+{"index":56,"Rank":21,"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,"8TagsClustering":23.24}
+{"index":28,"Rank":22,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/facebook\/SONAR\">SONAR<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","8TagsClustering":18.79}
+{"index":47,"Rank":23,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/LaBSE\">LaBSE<\/a>","Model Size (Million Parameters)":471,"Memory Usage (GB, fp32)":1.75,"8TagsClustering":12.96}
+{"index":53,"Rank":24,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/distiluse-base-multilingual-cased-v2\">distiluse-base-multilingual-cased-v2<\/a>","Model Size (Million Parameters)":135,"Memory Usage (GB, fp32)":0.5,"8TagsClustering":12.51}
 {"index":5,"Rank":25,"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)":"","8TagsClustering":4.68}