Add spartan8806/atles-champion-embedding results (#334)

* Add spartan8806/atles-champion-embedding results

- Model: spartan8806/atles-champion-embedding
- Revision: d4c74d7000bbd25f3597fc0f2dcde59ef1386e8f
- Performance: Pearson 0.8445, Spearman 0.8374 on STS-B
- Top-10 worldwide ranking

* Fix folder structure: use commit hash as folder name

- Move files from main/ to d4c74d7000bbd25f3597fc0f2dcde59ef1386e8f/
- Folder name now matches revision in model_meta.json
- Fixes test failures

* fix: Regenerate model_meta.json using MTEB auto-generation

- Auto-generated model_meta.json by MTEB (not manually edited)
- Revision: d4c74d7000bbd25f3597fc0f2dcde59ef1386e8f
- Addresses maintainer feedback: file must be auto-generated by MTEB

* fix: Regenerate model_meta.json using maintainer's exact method with revision

Using exact code specified by maintainer:
import mteb
model = mteb.get_model('spartan8806/atles-champion-embedding', revision='d4c74d7000bbd25f3597fc0f2dcde59ef1386e8f')
mteb.evaluate(model, mteb.get_task('STSBenchmark'))

Auto-generated by MTEB (not manually edited)

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

---------

Co-authored-by: spartan8806 <spartan8806@users.noreply.github.com>
Co-authored-by: Roman Solomatin <samoed.roman@gmail.com>

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

@@ -0,0 +1,26 @@
+{
+  "dataset_revision": "b0fddb56ed78048fa8b90373c8a3cfc37b684831",
+  "task_name": "STSBenchmark",
+  "mteb_version": "2.1.13",
+  "scores": {
+    "test": [
+      {
+        "pearson": 0.844538,
+        "spearman": 0.837359,
+        "cosine_pearson": 0.844538,
+        "cosine_spearman": 0.837359,
+        "manhattan_pearson": 0.831,
+        "manhattan_spearman": 0.833541,
+        "euclidean_pearson": 0.834168,
+        "euclidean_spearman": 0.837359,
+        "main_score": 0.837359,
+        "hf_subset": "default",
+        "languages": [
+          "eng-Latn"
+        ]
+      }
+    ]
+  },
+  "evaluation_time": 35.924458026885986,
+  "kg_co2_emissions": null
+}

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

@@ -0,0 +1 @@
+{"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"}