Add Inf-retriever-v1 results (#90)

* Add C-MTEB retrieval results for inf-retriever-v1

* Update model_mete of inf-retriever-v1

---------

Co-authored-by: Samuel Yang <samuelyang150@gmail.com>

results/infly__inf-retriever-v1/d2d074546028c0012b5cc6af78c4fac24896e67f/CmedqaRetrieval.json

@@ -0,0 +1,158 @@
+{
+  "dataset_revision": "cd540c506dae1cf9e9a59c3e06f42030d54e7301",
+  "task_name": "CmedqaRetrieval",
+  "mteb_version": "1.28.0",
+  "scores": {
+    "dev": [
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+        "ndcg_at_3": 0.38438,
+        "ndcg_at_5": 0.40443,
+        "ndcg_at_10": 0.43306,
+        "ndcg_at_20": 0.46183,
+        "ndcg_at_100": 0.50646,
+        "ndcg_at_1000": 0.5282,
+        "map_at_1": 0.25153,
+        "map_at_3": 0.33038,
+        "map_at_5": 0.35228,
+        "map_at_10": 0.36924,
+        "map_at_20": 0.3796,
+        "map_at_100": 0.38792,
+        "map_at_1000": 0.38914,
+        "recall_at_1": 0.25153,
+        "recall_at_3": 0.38253,
+        "recall_at_5": 0.44508,
+        "recall_at_10": 0.53012,
+        "recall_at_20": 0.62915,
+        "recall_at_100": 0.83487,
+        "recall_at_1000": 0.98059,
+        "precision_at_1": 0.3821,
+        "precision_at_3": 0.21605,
+        "precision_at_5": 0.15664,
+        "precision_at_10": 0.09585,
+        "precision_at_20": 0.05731,
+        "precision_at_100": 0.01545,
+        "precision_at_1000": 0.00183,
+        "mrr_at_1": 0.382096,
+        "mrr_at_3": 0.436776,
+        "mrr_at_5": 0.449929,
+        "mrr_at_10": 0.460602,
+        "mrr_at_20": 0.466425,
+        "mrr_at_100": 0.470609,
+        "mrr_at_1000": 0.471081,
+        "nauc_ndcg_at_1_max": 0.472941,
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+        "nauc_ndcg_at_1_diff1": 0.65073,
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+        "nauc_ndcg_at_3_diff1": 0.556355,
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+        "nauc_ndcg_at_5_std": -0.028594,
+        "nauc_ndcg_at_5_diff1": 0.543432,
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+        "nauc_ndcg_at_20_max": 0.386325,
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+        "nauc_mrr_at_1000_std": 0.012893,
+        "nauc_mrr_at_1000_diff1": 0.607901,
+        "main_score": 0.43306,
+        "hf_subset": "default",
+        "languages": [
+          "cmn-Hans"
+        ]
+      }
+    ]
+  },
+  "evaluation_time": 16793.309911966324,
+  "kg_co2_emissions": null
+}

results/infly__inf-retriever-v1/d2d074546028c0012b5cc6af78c4fac24896e67f/CovidRetrieval.json

@@ -0,0 +1,158 @@
+{
+  "dataset_revision": "1271c7809071a13532e05f25fb53511ffce77117",
+  "task_name": "CovidRetrieval",
+  "mteb_version": "1.28.0",
+  "scores": {
+    "dev": [
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+        "ndcg_at_3": 0.84489,
+        "ndcg_at_5": 0.86183,
+        "ndcg_at_10": 0.87159,
+        "ndcg_at_20": 0.87638,
+        "ndcg_at_100": 0.87976,
+        "ndcg_at_1000": 0.88026,
+        "map_at_1": 0.77713,
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+        "map_at_10": 0.84332,
+        "map_at_20": 0.84472,
+        "map_at_100": 0.8452,
+        "map_at_1000": 0.84522,
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+        "recall_at_10": 0.95838,
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+        ]
+      }
+    ]
+  },
+  "evaluation_time": 17476.262266874313,
+  "kg_co2_emissions": null
+}

results/infly__inf-retriever-v1/d2d074546028c0012b5cc6af78c4fac24896e67f/DuRetrieval.json

@@ -0,0 +1,158 @@
+{
+  "dataset_revision": "a1a333e290fe30b10f3f56498e3a0d911a693ced",
+  "task_name": "DuRetrieval",
+  "mteb_version": "1.28.0",
+  "scores": {
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results/infly__inf-retriever-v1/d2d074546028c0012b5cc6af78c4fac24896e67f/EcomRetrieval.json

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results/infly__inf-retriever-v1/d2d074546028c0012b5cc6af78c4fac24896e67f/MMarcoRetrieval.json

@@ -0,0 +1,158 @@
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results/infly__inf-retriever-v1/d2d074546028c0012b5cc6af78c4fac24896e67f/MedicalRetrieval.json

@@ -0,0 +1,158 @@
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results/infly__inf-retriever-v1/d2d074546028c0012b5cc6af78c4fac24896e67f/T2Retrieval.json

@@ -0,0 +1,158 @@
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results/infly__inf-retriever-v1/d2d074546028c0012b5cc6af78c4fac24896e67f/VideoRetrieval.json

@@ -0,0 +1,158 @@
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+        "languages": [
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+      }
+    ]
+  },
+  "evaluation_time": 2466.23748755455,
+  "kg_co2_emissions": null
+}

results/infly__inf-retriever-v1/d2d074546028c0012b5cc6af78c4fac24896e67f/model_meta.json

@@ -0,0 +1 @@
+{"name": "infly/inf-retriever-v1", "revision": "d2d074546028c0012b5cc6af78c4fac24896e67f", "release_date": "2024-12-24", "languages": ["eng_Latn", "zho_Hans"], "n_parameters": 7069121024, "memory_usage": null, "max_tokens": 131072.0, "embed_dim": 3584, "license": null, "open_weights": true, "public_training_data": null, "public_training_code": null, "framework": ["Sentence Transformers", "PyTorch"], "reference": "https://huggingface.co/infly/inf-retriever-v1", "similarity_fn_name": "cosine", "use_instructions": true, "training_datasets": null, "adapted_from": "Alibaba-NLP/gte-Qwen2-7B-instruct", "superseded_by": null, "loader": "sentence_transformers_loader"}