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Epoch 10 - 42.76% acc

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weights/run_001_v2_4redundantscale_4x4patch_d512_4layer_alphamix_fractalreg_20251201_181252/README.md ADDED
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+ # Run: run_001_v2_4redundantscale_4x4patch_d512_4layer_alphamix_fractalreg_20251201_181252
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+
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+ ## Results
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+ - **Best Accuracy**: 42.76%
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+ - **Dataset**: cifar100
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+ - **Epochs**: 200
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+ - **Model Version**: V2
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+
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+ ## Model Config
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+ | Parameter | Value |
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+ |-----------|-------|
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+ | Dim | 512 |
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+ | Layers | 4 |
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+ | Heads | 8 |
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+ | Patch Size | 4 |
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+
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+ ## Wormhole Routing (V2)
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+ | Parameter | Value |
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+ |-----------|-------|
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+ | Mode | hybrid |
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+ | Wormholes/Position | 8 |
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+ | Temperature | 0.1 |
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+ | Tiles | 16 |
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+ | Tile Wormholes | 4 |
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+
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+ ## Crystal Head
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+ | Parameter | Value |
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+ |-----------|-------|
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+ | Scales | [64, 128, 256, 512] |
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+ | Scale Copies | [4, 2, 1, 1] |
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+ | Weighting Mode | geometric |
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+ | Belly Layers | 2 |
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+ | Belly Residual | False |
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+ | Use Spine | True |
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+ | Use Collective | False |
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+
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+
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+ ## Training Config
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+ | Parameter | Value |
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+ |-----------|-------|
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+ | Learning Rate | 0.0003 |
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+ | Weight Decay | 0.05 |
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+ | Batch Size | 128 |
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+ | CE Weight | 1.0 |
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+ | Contrast Weight | 0.5 |
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+
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+ ## Augmentation
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+ | Parameter | Value |
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+ |-----------|-------|
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+ | Normalization | standard |
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+ | Mixup Alpha | 0.2 |
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+ | CutMix Alpha | 1.0 |
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+ | AlphaMix | True |
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+ | Label Smoothing | 0.1 |
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+
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+
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+ ## Key Findings Applied
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+ - Routing learns from task pressure (no auxiliary routing losses)
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+ - Gradients verified to flow through router
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+ - Cross-contrastive aligns patch↔scale features
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+ {
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+ "architecture": "DavidBeans_V2",
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+ "model_type": "david_beans_v2",
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+ "image_size": 32,
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+ "wormhole_mode": "hybrid",
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+ "tile_wormholes": 4,
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+ "scales": [
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+ "belly_expand": 2.0,
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+ "belly_residual": false,
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+ "weighting_mode": "geometric",
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+ "scale_weight_floor": 0.1,
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+ "scale_copies": [
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+ 4,
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+ 2,
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+ 1,
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+ "copy_theta_step": 0.15,
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+ "use_topo_dropout": true,
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+ "topo_drop_prob": 0.15,
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+ "topo_warmup_epochs": 35,
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+ "topo_min_routes_keep": 2,
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+ "topo_steps_per_epoch": 391,
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+ "use_spatial_dropout": true,
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+ "spatial_drop_prob": 0.1,
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+ "spatial_patch_size": 2,
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+ "route_dim_attention": -2,
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