Sentence Similarity
sentence-transformers
Safetensors
English
grt
geometric-rotation-transformer
feature-extraction
circular-pooling
rotational
qwen3
Instructions to use MatterWaveAI/grt-30m-embedding with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use MatterWaveAI/grt-30m-embedding with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("MatterWaveAI/grt-30m-embedding") sentences = [ "That is a happy person", "That is a happy dog", "That is a very happy person", "Today is a sunny day" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4] - Notebooks
- Google Colab
- Kaggle
Update optimizer_ablation_results.json with 16-way Classical Geometric, Symplectic & Toroidal optimizer ablation
Browse files
optimizer_ablation_results.json
CHANGED
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@@ -47,5 +47,68 @@
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"stsb_test_spearman_after": 0.6287,
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"stsb_test_pearson_after": 0.6476,
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"elapsed_sec": 380.42
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}
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}
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"stsb_test_spearman_after": 0.6287,
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"stsb_test_pearson_after": 0.6476,
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"elapsed_sec": 380.42
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},
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"symplectic_adam": {
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"variant": "SymplecticAdam (Symplectic Non-Squeezing Floor + Casimir Cavity Cascade)",
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"s1_dev_spearman": 0.6198,
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"stsb_dev_spearman_after": 0.736,
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"stsb_dev_pearson_after": 0.7087,
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"stsb_test_spearman_after": 0.6516,
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"stsb_test_pearson_after": 0.6564,
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"elapsed_sec": 243.28
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},
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"gyric_adam": {
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"variant": "GyricAdam (Lande Gyroscopic Projection + Thomas Precession Damping)",
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"s1_dev_spearman": 0.6221,
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"stsb_dev_spearman_after": 0.7304,
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"stsb_dev_pearson_after": 0.7023,
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"stsb_test_spearman_after": 0.6455,
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"stsb_test_pearson_after": 0.6503,
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"elapsed_sec": 419.85
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},
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"hannay_adam": {
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"variant": "HannayAdam (Adiabatic Holonomy Scale-Angle Connection + Polar Metric)",
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"s1_dev_spearman": 0.6115,
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"stsb_dev_spearman_after": 0.7257,
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"stsb_dev_pearson_after": 0.699,
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"stsb_test_spearman_after": 0.6333,
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"stsb_test_pearson_after": 0.633,
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"elapsed_sec": 239.35
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},
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"poncelet_adam": {
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"variant": "PonceletAdam (Confocal Elliptic Closure Metric + Eccentricity-Gated Twist)",
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"s1_dev_spearman": 0.6262,
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"stsb_dev_spearman_after": 0.7275,
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"stsb_dev_pearson_after": 0.6987,
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"stsb_test_spearman_after": 0.6315,
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"stsb_test_pearson_after": 0.6374,
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"elapsed_sec": 267.34
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},
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"huygens_adam": {
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"variant": "HuygensAdam (Circular Splay-State Anti-Synchronization + Conic Metric)",
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"s1_dev_spearman": 0.6383,
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"stsb_dev_spearman_after": 0.7295,
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"stsb_dev_pearson_after": 0.7035,
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"stsb_test_spearman_after": 0.642,
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"stsb_test_pearson_after": 0.6469,
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"elapsed_sec": 331.8
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},
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"beltrami_adam": {
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"variant": "BeltramiAdam (Force-Free Helicity Vortex Alignment + Conic Metric)",
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"s1_dev_spearman": 0.6337,
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"stsb_dev_spearman_after": 0.7363,
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"stsb_dev_pearson_after": 0.7068,
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"stsb_test_spearman_after": 0.6333,
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"stsb_test_pearson_after": 0.6328,
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"elapsed_sec": 321.44
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},
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"rindler_adam": {
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"variant": "RindlerAdam (Rindler Hyperbolic Wedge Horizon + Acceleration Stiffness)",
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"s1_dev_spearman": 0.6208,
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"stsb_dev_spearman_after": 0.7318,
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"stsb_dev_pearson_after": 0.7069,
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"stsb_test_spearman_after": 0.6264,
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"stsb_test_pearson_after": 0.6353,
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"elapsed_sec": 271.68
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}
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}
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