Epoch 10 - 25.63% acc
Browse files- weights/run_006_v2_1spine_8redundantscale_4x4patch_d768_4layer_topo_dropout_cutmix_20251202_175036/README.md +60 -0
- weights/run_006_v2_1spine_8redundantscale_4x4patch_d768_4layer_topo_dropout_cutmix_20251202_175036/best.safetensors +3 -0
- weights/run_006_v2_1spine_8redundantscale_4x4patch_d768_4layer_topo_dropout_cutmix_20251202_175036/config.json +62 -0
- weights/run_006_v2_1spine_8redundantscale_4x4patch_d768_4layer_topo_dropout_cutmix_20251202_175036/tensorboard/events.out.tfevents.1764697839.7ccc73cc3f03.55035.1 +3 -0
- weights/run_006_v2_1spine_8redundantscale_4x4patch_d768_4layer_topo_dropout_cutmix_20251202_175036/training_config.json +43 -0
- weights/run_006_v2_1spine_8redundantscale_4x4patch_d768_4layer_topo_dropout_cutmix_20251202_175036/training_history.json +46 -0
weights/run_006_v2_1spine_8redundantscale_4x4patch_d768_4layer_topo_dropout_cutmix_20251202_175036/README.md
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# Run: run_006_v2_1spine_8redundantscale_4x4patch_d768_4layer_topo_dropout_cutmix_20251202_175036
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## Results
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- **Best Accuracy**: 25.63%
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- **Dataset**: cifar100
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- **Epochs**: 120
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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 | 768 |
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| Layers | 4 |
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| Heads | 16 |
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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, 768] |
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| Scale Copies | [16, 8, 4, 2, 1] |
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| Weighting Mode | learned |
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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 | False |
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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_006_v2_1spine_8redundantscale_4x4patch_d768_4layer_topo_dropout_cutmix_20251202_175036/best.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:eb0f396245d69e8ac84d6f323863b622c0f6c3458767e34ec48848336786391f
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size 256621812
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weights/run_006_v2_1spine_8redundantscale_4x4patch_d768_4layer_topo_dropout_cutmix_20251202_175036/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": 768,
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"num_layers": 4,
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"num_heads": 16,
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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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768
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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": "learned",
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"scale_weight_floor": 0.1,
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"scale_copies": [
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16,
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8,
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4,
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2,
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1
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],
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"copy_theta_step": 0.101,
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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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1024
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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": 4,
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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_006_v2_1spine_8redundantscale_4x4patch_d768_4layer_topo_dropout_cutmix_20251202_175036/tensorboard/events.out.tfevents.1764697839.7ccc73cc3f03.55035.1
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version https://git-lfs.github.com/spec/v1
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oid sha256:84c7855aceacc36577612b3e2dc705fb3850398f670744a75c99c321008d2c6d
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size 44262
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weights/run_006_v2_1spine_8redundantscale_4x4patch_d768_4layer_topo_dropout_cutmix_20251202_175036/training_config.json
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{
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"run_name": "1spine_8redundantscale_4x4patch_d768_4layer_topo_dropout_cutmix",
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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": 120,
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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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| 18 |
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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,
|
| 21 |
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"contrast_weight": 0.5,
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| 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,
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| 27 |
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"use_alphamix": false,
|
| 28 |
+
"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 |
+
],
|
| 32 |
+
"alphamix_spatial_ratio": 0.25,
|
| 33 |
+
"save_interval": 10,
|
| 34 |
+
"output_dir": "./checkpoints/cifar100_v2",
|
| 35 |
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"resume_from": null,
|
| 36 |
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"use_tensorboard": true,
|
| 37 |
+
"log_interval": 50,
|
| 38 |
+
"log_routing": true,
|
| 39 |
+
"push_to_hub": true,
|
| 40 |
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"hub_repo_id": "AbstractPhil/geovit-david-beans",
|
| 41 |
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"hub_private": false,
|
| 42 |
+
"device": "cuda"
|
| 43 |
+
}
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weights/run_006_v2_1spine_8redundantscale_4x4patch_d768_4layer_topo_dropout_cutmix_20251202_175036/training_history.json
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{
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"loss": [
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21.2852105262952,
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19.912000132829714,
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| 5 |
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19.229191677386943,
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| 6 |
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18.828460888984875,
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| 7 |
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18.32927703368358,
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| 8 |
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18.09517431992751,
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| 9 |
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17.983504742842456,
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| 10 |
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18.02426992563101,
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| 11 |
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17.59568115625626
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| 12 |
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],
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| 13 |
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"ce": [
|
| 14 |
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4.465974866426908,
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| 15 |
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4.214199514878102,
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| 16 |
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4.055962468416263,
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| 17 |
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3.9652959634096194,
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| 18 |
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3.8591288285377696,
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| 19 |
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3.814647142092387,
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| 20 |
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3.779529088582748,
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| 21 |
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3.7895033976970574,
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| 22 |
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3.7330856402715047
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| 23 |
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],
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| 24 |
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"contrast": [
|
| 25 |
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4.5800990055768915,
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| 26 |
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4.317624877049373,
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| 27 |
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4.183825146234953,
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| 28 |
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4.1069326437436615,
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| 29 |
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3.999085405545357,
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| 30 |
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3.9506665718861114,
|
| 31 |
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3.932388677352514,
|
| 32 |
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3.9445555087847586,
|
| 33 |
+
3.8392515818277997
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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 |
+
0.00026999999999999995
|
| 45 |
+
]
|
| 46 |
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}
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