Update results with NDCG@10 metrics

msmarco_procrustes.json

@@ -8,10 +8,13 @@
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     "tgt_dim": 768,
     "train_size": 5000,
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     "source": "intfloat/e5-base-v2",
@@ -22,10 +25,13 @@
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     "tgt_dim": 768,
     "train_size": 5000,
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     "source": "intfloat/e5-base-v2",
@@ -36,10 +42,13 @@
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     "tgt_dim": 768,
     "train_size": 5000,
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   {
     "source": "intfloat/e5-base-v2",
@@ -50,10 +59,13 @@
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     "tgt_dim": 1024,
     "train_size": 5000,
-    "fit_time_s": 57.683,
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     "source": "intfloat/e5-base-v2",
@@ -64,10 +76,13 @@
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     "tgt_dim": 2560,
     "train_size": 5000,
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-    "ratio": 0.90909
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   {
     "source": "BAAI/bge-base-en-v1.5",
@@ -78,10 +93,13 @@
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     "tgt_dim": 768,
     "train_size": 5000,
-    "fit_time_s": 19.699,
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     "recall@10_native_target": 0.8743,
-    "ratio": 0.97425
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+    "ndcg_ratio": 0.96152
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   {
     "source": "BAAI/bge-base-en-v1.5",
@@ -92,10 +110,13 @@
     "src_dim": 768,
     "tgt_dim": 768,
     "train_size": 5000,
-    "fit_time_s": 18.642,
+    "fit_time_s": 0.085,
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+    "ndcg@10_translated": 0.55728,
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+    "ndcg_ratio": 0.75059
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   {
     "source": "BAAI/bge-base-en-v1.5",
@@ -106,10 +127,13 @@
     "src_dim": 768,
     "tgt_dim": 768,
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-    "fit_time_s": 20.504,
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   {
     "source": "BAAI/bge-base-en-v1.5",
@@ -120,10 +144,13 @@
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     "tgt_dim": 1024,
     "train_size": 5000,
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+    "fit_time_s": 0.028,
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   {
     "source": "BAAI/bge-base-en-v1.5",
@@ -134,10 +161,13 @@
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     "tgt_dim": 2560,
     "train_size": 5000,
-    "fit_time_s": 173.003,
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   {
     "source": "Alibaba-NLP/gte-base-en-v1.5",
@@ -148,10 +178,13 @@
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     "tgt_dim": 768,
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   {
     "source": "Alibaba-NLP/gte-base-en-v1.5",
@@ -162,10 +195,13 @@
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+    "ndcg_ratio": 0.9012
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   {
     "source": "Alibaba-NLP/gte-base-en-v1.5",
@@ -176,10 +212,13 @@
     "src_dim": 768,
     "tgt_dim": 768,
     "train_size": 5000,
-    "fit_time_s": 15.627,
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   {
     "source": "Alibaba-NLP/gte-base-en-v1.5",
@@ -190,10 +229,13 @@
     "src_dim": 768,
     "tgt_dim": 1024,
     "train_size": 5000,
-    "fit_time_s": 98.383,
+    "fit_time_s": 0.035,
     "recall@10_translated": 0.74672,
     "recall@10_native_target": 0.87054,
-    "ratio": 0.85776
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+    "ndcg_ratio": 0.78928
   },
   {
     "source": "Alibaba-NLP/gte-base-en-v1.5",
@@ -204,10 +246,13 @@
     "src_dim": 768,
     "tgt_dim": 2560,
     "train_size": 5000,
-    "fit_time_s": 184.659,
+    "fit_time_s": 0.051,
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     "recall@10_native_target": 0.88743,
-    "ratio": 0.84778
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+    "ndcg@10_translated": 0.5914,
+    "ndcg@10_native_target": 0.75092,
+    "ndcg_ratio": 0.78757
   },
   {
     "source": "nomic-ai/nomic-embed-text-v1.5",
@@ -218,10 +263,13 @@
     "src_dim": 768,
     "tgt_dim": 768,
     "train_size": 5000,
-    "fit_time_s": 21.741,
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-    "ratio": 0.92704
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   },
   {
     "source": "nomic-ai/nomic-embed-text-v1.5",
@@ -232,10 +280,13 @@
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-    "fit_time_s": 22.534,
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   {
     "source": "nomic-ai/nomic-embed-text-v1.5",
@@ -246,10 +297,13 @@
     "src_dim": 768,
     "tgt_dim": 768,
     "train_size": 5000,
-    "fit_time_s": 21.085,
+    "fit_time_s": 0.091,
     "recall@10_translated": 0.63227,
     "recall@10_native_target": 0.89681,
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   {
     "source": "nomic-ai/nomic-embed-text-v1.5",
@@ -260,10 +314,13 @@
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-    "fit_time_s": 96.061,
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   {
     "source": "nomic-ai/nomic-embed-text-v1.5",
@@ -274,10 +331,13 @@
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     "train_size": 5000,
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-    "ratio": 0.90275
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   {
     "source": "Qwen/Qwen3-Embedding-0.6B",
@@ -288,10 +348,13 @@
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   {
     "source": "Qwen/Qwen3-Embedding-0.6B",
@@ -302,10 +365,13 @@
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   {
     "source": "Qwen/Qwen3-Embedding-0.6B",
@@ -316,10 +382,13 @@
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   {
     "source": "Qwen/Qwen3-Embedding-0.6B",
@@ -330,10 +399,13 @@
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     "source": "Qwen/Qwen3-Embedding-0.6B",
@@ -344,10 +416,13 @@
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   {
     "source": "Qwen/Qwen3-Embedding-4B",
@@ -358,10 +433,13 @@
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   {
     "source": "Qwen/Qwen3-Embedding-4B",
@@ -372,10 +450,13 @@
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   {
     "source": "Qwen/Qwen3-Embedding-4B",
@@ -386,10 +467,13 @@
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@@ -400,10 +484,13 @@
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@@ -414,9 +501,12 @@
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+    "ndcg_ratio": 1.0206
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 ]