Epoch 10 - 42.76% acc
Browse files- weights/run_001_v2_4redundantscale_4x4patch_d512_4layer_alphamix_fractalreg_20251201_181252/README.md +60 -0
- weights/run_001_v2_4redundantscale_4x4patch_d512_4layer_alphamix_fractalreg_20251201_181252/best.safetensors +3 -0
- weights/run_001_v2_4redundantscale_4x4patch_d512_4layer_alphamix_fractalreg_20251201_181252/config.json +62 -0
- weights/run_001_v2_4redundantscale_4x4patch_d512_4layer_alphamix_fractalreg_20251201_181252/tensorboard/events.out.tfevents.1764612796.c39ac074cc38.1028.0 +3 -0
- weights/run_001_v2_4redundantscale_4x4patch_d512_4layer_alphamix_fractalreg_20251201_181252/training_config.json +43 -0
- weights/run_001_v2_4redundantscale_4x4patch_d512_4layer_alphamix_fractalreg_20251201_181252/training_history.json +46 -0
weights/run_001_v2_4redundantscale_4x4patch_d512_4layer_alphamix_fractalreg_20251201_181252/README.md
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# Run: run_001_v2_4redundantscale_4x4patch_d512_4layer_alphamix_fractalreg_20251201_181252
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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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## 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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## 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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## 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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## 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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## 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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## 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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weights/run_001_v2_4redundantscale_4x4patch_d512_4layer_alphamix_fractalreg_20251201_181252/best.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:795912e438d503fe07e95efbea1e6d13c00270c7e7f4356c391936858188e1ac
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size 90024320
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weights/run_001_v2_4redundantscale_4x4patch_d512_4layer_alphamix_fractalreg_20251201_181252/config.json
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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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"patch_size": 4,
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"in_channels": 3,
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"dim": 512,
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"num_layers": 4,
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"num_heads": 8,
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"mlp_ratio": 4.0,
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"num_wormholes": 8,
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"wormhole_temperature": 0.1,
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"wormhole_mode": "hybrid",
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"cantor_weight": 0.3,
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"num_tiles": 16,
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"tile_wormholes": 4,
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"scales": [
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64,
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128,
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256,
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512
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],
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"num_classes": 100,
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"use_belly": true,
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"belly_expand": 2.0,
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"belly_layers": 2,
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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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1
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],
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"copy_theta_step": 0.15,
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"use_collective": false,
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"collective_temperature": 0.07,
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"use_spine": true,
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"spine_channels": [
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64,
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128,
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256
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],
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"spine_cross_attn": true,
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"spine_gate_init": 0.0,
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"contrast_temperature": 0.07,
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"contrast_weight": 0.5,
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"routing_weight": 0.0,
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"dropout": 0.1,
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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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"route_dim_tiles": 2,
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"pooling": "cls"
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}
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weights/run_001_v2_4redundantscale_4x4patch_d512_4layer_alphamix_fractalreg_20251201_181252/tensorboard/events.out.tfevents.1764612796.c39ac074cc38.1028.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:7b69eb6e838ac7b3b392ff4d21d11af49c0cbcad8513bb85e2e52653426fb96f
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size 30281
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weights/run_001_v2_4redundantscale_4x4patch_d512_4layer_alphamix_fractalreg_20251201_181252/training_config.json
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{
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"run_name": "4redundantscale_4x4patch_d512_4layer_alphamix_fractalreg",
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"run_number": null,
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"model_version": 2,
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"dataset": "cifar100",
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| 6 |
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"image_size": 32,
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| 7 |
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"batch_size": 128,
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| 8 |
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"num_workers": 4,
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"normalization": "standard",
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| 10 |
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"epochs": 200,
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| 11 |
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"warmup_epochs": 10,
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| 12 |
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"learning_rate": 0.0003,
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| 13 |
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"weight_decay": 0.05,
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| 14 |
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"betas": [
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0.9,
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0.999
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],
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"scheduler": "cosine",
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| 19 |
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"min_lr": 1e-06,
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| 20 |
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"ce_weight": 1.0,
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| 21 |
+
"contrast_weight": 0.5,
|
| 22 |
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"gradient_clip": 1.0,
|
| 23 |
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"label_smoothing": 0.1,
|
| 24 |
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"use_augmentation": true,
|
| 25 |
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"mixup_alpha": 0.2,
|
| 26 |
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"cutmix_alpha": 1.0,
|
| 27 |
+
"use_alphamix": true,
|
| 28 |
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"alphamix_alpha_range": [
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| 29 |
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0.3,
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| 30 |
+
0.7
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| 31 |
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],
|
| 32 |
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"alphamix_spatial_ratio": 0.25,
|
| 33 |
+
"save_interval": 10,
|
| 34 |
+
"output_dir": "./checkpoints/cifar100_v2",
|
| 35 |
+
"resume_from": null,
|
| 36 |
+
"use_tensorboard": true,
|
| 37 |
+
"log_interval": 50,
|
| 38 |
+
"log_routing": true,
|
| 39 |
+
"push_to_hub": true,
|
| 40 |
+
"hub_repo_id": "AbstractPhil/geovit-david-beans",
|
| 41 |
+
"hub_private": false,
|
| 42 |
+
"device": "cuda"
|
| 43 |
+
}
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weights/run_001_v2_4redundantscale_4x4patch_d512_4layer_alphamix_fractalreg_20251201_181252/training_history.json
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{
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"loss": [
|
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10.410657728635348,
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| 4 |
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9.608673051687388,
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| 5 |
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9.134598242930878,
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| 6 |
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8.782778321779691,
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| 7 |
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8.438618367757552,
|
| 8 |
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8.11135796033419,
|
| 9 |
+
7.961723312964806,
|
| 10 |
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7.672892722105368,
|
| 11 |
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7.5494623196430695
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| 12 |
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],
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| 13 |
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"ce": [
|
| 14 |
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4.413112790767963,
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| 15 |
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4.092811764203585,
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| 16 |
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3.914777290515411,
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3.7460260110023693,
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| 18 |
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3.581492412395966,
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| 19 |
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3.4646466028996,
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| 20 |
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3.398411958034222,
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| 21 |
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3.2972507623525766,
|
| 22 |
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3.2184918000147893
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| 23 |
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],
|
| 24 |
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"contrast": [
|
| 25 |
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4.547770396257058,
|
| 26 |
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4.203475647706252,
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| 27 |
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3.983390191885141,
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| 28 |
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3.84815374032045,
|
| 29 |
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3.714197435745826,
|
| 30 |
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3.5545716676956567,
|
| 31 |
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3.4918246801082904,
|
| 32 |
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3.349622757618244,
|
| 33 |
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3.3176276726600453
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| 34 |
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],
|
| 35 |
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"lr": [
|
| 36 |
+
2.9999999999999997e-05,
|
| 37 |
+
5.9999999999999995e-05,
|
| 38 |
+
8.999999999999999e-05,
|
| 39 |
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0.00011999999999999999,
|
| 40 |
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0.00015,
|
| 41 |
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0.00017999999999999998,
|
| 42 |
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0.00020999999999999995,
|
| 43 |
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0.00023999999999999998,
|
| 44 |
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0.00026999999999999995
|
| 45 |
+
]
|
| 46 |
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}
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