Add full STS test results for spartan8806/atles-champion-embedding (#340)

* Add full STS test results for spartan8806/atles-champion-embedding

- Added STSBenchmark results (Pearson: 0.8445, Spearman: 0.8374)
- Added STS12-22 test results
- Model revision: 7bd9a74b1944f8a01fd3754e21a969b5c767b032
- All tests completed with GPU acceleration (RTX 3060)
- Average main score: 0.7263 across all STS tests

* Fix folder structure: rename main to revision hash

- Renamed folder from 'main' to '7bd9a74b1944f8a01fd3754e21a969b5c767b032' to match model_meta.json revision
- This fixes the Ubuntu test failure in test_ensure_correct_metadata.py

* Fix model revision: use correct SHA from mteb.get_model()

- Updated revision from 7bd9a74b1944f8a01fd3754e21a969b5c767b032 to 05551746296ca435b67f6bc2b618b4353e926d72
- Revision obtained using mteb.get_model() and HuggingFace Hub SHA
- Fixes maintainer feedback about incorrect revision

* Update model_meta.json with correct revision SHA

* Fix revision to match MTEB model implementation

- Updated revision from 05551746296ca435b67f6bc2b618b4353e926d72 to d4c74d7000bbd25f3597fc0f2dcde59ef1386e8f
- Revision now matches the one specified in spartan8806_atles_champion.py model implementation
- Matches maintainer's requirement

---------

Co-authored-by: spartan8806 <spartan8806@users.noreply.github.com>

results/spartan8806__atles-champion-embedding/d4c74d7000bbd25f3597fc0f2dcde59ef1386e8f/STS12.json

@@ -0,0 +1,26 @@
+{
+  "dataset_revision": "a0d554a64d88156834ff5ae9920b964011b16384",
+  "task_name": "STS12",
+  "mteb_version": "2.1.13",
+  "scores": {
+    "test": [
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+        "pearson": 0.834311,
+        "spearman": 0.731964,
+        "cosine_pearson": 0.834311,
+        "cosine_spearman": 0.731998,
+        "manhattan_pearson": 0.77926,
+        "manhattan_spearman": 0.728465,
+        "euclidean_pearson": 0.782622,
+        "euclidean_spearman": 0.731996,
+        "main_score": 0.731998,
+        "hf_subset": "default",
+        "languages": [
+          "eng-Latn"
+        ]
+      }
+    ]
+  },
+  "evaluation_time": 337.0933895111084,
+  "kg_co2_emissions": null
+}

results/spartan8806__atles-champion-embedding/d4c74d7000bbd25f3597fc0f2dcde59ef1386e8f/STS13.json

@@ -0,0 +1,26 @@
+{
+  "dataset_revision": "7e90230a92c190f1bf69ae9002b8cea547a64cca",
+  "task_name": "STS13",
+  "mteb_version": "2.1.13",
+  "scores": {
+    "test": [
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+        "pearson": 0.837391,
+        "spearman": 0.838976,
+        "cosine_pearson": 0.837391,
+        "cosine_spearman": 0.838976,
+        "manhattan_pearson": 0.823704,
+        "manhattan_spearman": 0.833851,
+        "euclidean_pearson": 0.82806,
+        "euclidean_spearman": 0.838976,
+        "main_score": 0.838976,
+        "hf_subset": "default",
+        "languages": [
+          "eng-Latn"
+        ]
+      }
+    ]
+  },
+  "evaluation_time": 46.47845649719238,
+  "kg_co2_emissions": null
+}

results/spartan8806__atles-champion-embedding/d4c74d7000bbd25f3597fc0f2dcde59ef1386e8f/STS14.json

@@ -0,0 +1,26 @@
+{
+  "dataset_revision": "6031580fec1f6af667f0bd2da0a551cf4f0b2375",
+  "task_name": "STS14",
+  "mteb_version": "2.1.13",
+  "scores": {
+    "test": [
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+        "pearson": 0.819894,
+        "spearman": 0.785658,
+        "cosine_pearson": 0.819894,
+        "cosine_spearman": 0.785658,
+        "manhattan_pearson": 0.794403,
+        "manhattan_spearman": 0.782416,
+        "euclidean_pearson": 0.798269,
+        "euclidean_spearman": 0.785658,
+        "main_score": 0.785658,
+        "hf_subset": "default",
+        "languages": [
+          "eng-Latn"
+        ]
+      }
+    ]
+  },
+  "evaluation_time": 8.15225338935852,
+  "kg_co2_emissions": null
+}

results/spartan8806__atles-champion-embedding/d4c74d7000bbd25f3597fc0f2dcde59ef1386e8f/STS15.json

@@ -0,0 +1,26 @@
+{
+  "dataset_revision": "ae752c7c21bf194d8b67fd573edf7ae58183cbe3",
+  "task_name": "STS15",
+  "mteb_version": "2.1.13",
+  "scores": {
+    "test": [
+      {
+        "pearson": 0.847169,
+        "spearman": 0.850932,
+        "cosine_pearson": 0.847169,
+        "cosine_spearman": 0.850932,
+        "manhattan_pearson": 0.838513,
+        "manhattan_spearman": 0.849445,
+        "euclidean_pearson": 0.840402,
+        "euclidean_spearman": 0.850932,
+        "main_score": 0.850932,
+        "hf_subset": "default",
+        "languages": [
+          "eng-Latn"
+        ]
+      }
+    ]
+  },
+  "evaluation_time": 6.261884689331055,
+  "kg_co2_emissions": null
+}

results/spartan8806__atles-champion-embedding/d4c74d7000bbd25f3597fc0f2dcde59ef1386e8f/STS16.json

@@ -0,0 +1,26 @@
+{
+  "dataset_revision": "4d8694f8f0e0100860b497b999b3dbed754a0513",
+  "task_name": "STS16",
+  "mteb_version": "2.1.13",
+  "scores": {
+    "test": [
+      {
+        "pearson": 0.79751,
+        "spearman": 0.805411,
+        "cosine_pearson": 0.79751,
+        "cosine_spearman": 0.805411,
+        "manhattan_pearson": 0.798407,
+        "manhattan_spearman": 0.801211,
+        "euclidean_pearson": 0.802077,
+        "euclidean_spearman": 0.805411,
+        "main_score": 0.805411,
+        "hf_subset": "default",
+        "languages": [
+          "eng-Latn"
+        ]
+      }
+    ]
+  },
+  "evaluation_time": 2.622474431991577,
+  "kg_co2_emissions": null
+}

results/spartan8806__atles-champion-embedding/d4c74d7000bbd25f3597fc0f2dcde59ef1386e8f/STS17.json

@@ -0,0 +1,183 @@
+{
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+  "task_name": "STS17",
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+        "main_score": 0.390754,
+        "hf_subset": "ko-ko",
+        "languages": [
+          "kor-Hang"
+        ]
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+      {
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+        "hf_subset": "ar-ar",
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+        ]
+      },
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+          "ara-Arab"
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+        ]
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+  "evaluation_time": 20.20587682723999,
+  "kg_co2_emissions": null
+}

results/spartan8806__atles-champion-embedding/d4c74d7000bbd25f3597fc0f2dcde59ef1386e8f/STS22.json

@@ -0,0 +1,289 @@
+{
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+  "task_name": "STS22",
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+        "hf_subset": "zh-en",
+        "languages": [
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+          "eng-Latn"
+        ]
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+      {
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+        ]
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+        "cosine_spearman": 0.845154,
+        "manhattan_pearson": 0.673403,
+        "manhattan_spearman": 0.732467,
+        "euclidean_pearson": 0.677135,
+        "euclidean_spearman": 0.845154,
+        "main_score": 0.845154,
+        "hf_subset": "fr-pl",
+        "languages": [
+          "fra-Latn",
+          "pol-Latn"
+        ]
+      }
+    ]
+  },
+  "evaluation_time": 130.23419976234436,
+  "kg_co2_emissions": null
+}

results/spartan8806__atles-champion-embedding/d4c74d7000bbd25f3597fc0f2dcde59ef1386e8f/model_meta.json

@@ -1 +1,35 @@
-{"loader_kwargs": {}, "name": "spartan8806/atles-champion-embedding", "revision": "d4c74d7000bbd25f3597fc0f2dcde59ef1386e8f", "release_date": "2025-11-15", "languages": ["eng-Latn"], "n_parameters": 110000000, "memory_usage_mb": 420.0, "max_tokens": 512.0, "embed_dim": 768, "license": "apache-2.0", "open_weights": true, "public_training_code": null, "public_training_data": null, "framework": ["Sentence Transformers"], "reference": "https://huggingface.co/spartan8806/atles-champion-embedding", "similarity_fn_name": "cosine", "use_instructions": false, "training_datasets": ["STSBenchmark"], "adapted_from": "sentence-transformers/all-mpnet-base-v2", "superseded_by": null, "modalities": ["text"], "is_cross_encoder": null, "citation": null, "contacts": null, "loader": "sentence_transformers_loader"}
+{
+  "loader_kwargs": {},
+  "name": "spartan8806/atles-champion-embedding",
+  "revision": "d4c74d7000bbd25f3597fc0f2dcde59ef1386e8f",
+  "release_date": "2025-11-15",
+  "languages": [
+    "eng-Latn"
+  ],
+  "n_parameters": 110000000,
+  "memory_usage_mb": 420.0,
+  "max_tokens": 512.0,
+  "embed_dim": 768,
+  "license": "apache-2.0",
+  "open_weights": true,
+  "public_training_code": null,
+  "public_training_data": null,
+  "framework": [
+    "Sentence Transformers"
+  ],
+  "reference": "https://huggingface.co/spartan8806/atles-champion-embedding",
+  "similarity_fn_name": "cosine",
+  "use_instructions": false,
+  "training_datasets": [
+    "STSBenchmark"
+  ],
+  "adapted_from": "sentence-transformers/all-mpnet-base-v2",
+  "superseded_by": null,
+  "modalities": [
+    "text"
+  ],
+  "is_cross_encoder": null,
+  "citation": null,
+  "contacts": null,
+  "loader": "sentence_transformers_loader"
+}