AbstractPhil commited on
Commit
006b049
·
verified ·
1 Parent(s): 0a86595

Update beatrix-cifar100 - Epoch 0 - Acc: 0.1074

Browse files
README.md CHANGED
@@ -12,14 +12,14 @@ license: mit
12
  # ViT-Beatrix: Fractal PE + Geometric Simplex Vision Transformer
13
 
14
  This model integrates Devil's Staircase positional encoding with geometric simplex features
15
- for vision tasks. Trained on CIFAR-10.
16
 
17
  ## Model Details
18
 
19
  - **Architecture**: Vision Transformer with fractal positional encoding
20
  - **Dataset**: CIFAR-100 (100 classes)
21
- - **Embedding Dimension**: 256
22
- - **Depth**: 12 layers
23
  - **Patch Size**: 4x4
24
  - **PE Levels**: 12
25
  - **Simplex Dimension**: 5-simplex
@@ -28,7 +28,7 @@ for vision tasks. Trained on CIFAR-10.
28
 
29
  - **Dataset**: CIFAR-100
30
  - **Epochs**: 0
31
- - **Best Accuracy**: 0.0892
32
  - **Batch Size**: 512
33
  - **Learning Rate**: 0.001
34
 
@@ -49,15 +49,15 @@ from huggingface_hub import hf_hub_download
49
  # Download weights from Hub
50
  weights_path = hf_hub_download(
51
  repo_id="AbstractPhil/vit-beatrix",
52
- filename="weights/beatrix-cifar100/20251007_181653/model.safetensors"
53
  )
54
 
55
  # Load model
56
  model = SimplifiedGeometricClassifier(
57
- num_classes=100, # CIFAR-100
58
  img_size=32,
59
- embed_dim=256,
60
- depth=12
61
  )
62
 
63
  # Load weights
 
12
  # ViT-Beatrix: Fractal PE + Geometric Simplex Vision Transformer
13
 
14
  This model integrates Devil's Staircase positional encoding with geometric simplex features
15
+ for vision tasks. Trained on CIFAR-100.
16
 
17
  ## Model Details
18
 
19
  - **Architecture**: Vision Transformer with fractal positional encoding
20
  - **Dataset**: CIFAR-100 (100 classes)
21
+ - **Embedding Dimension**: 512
22
+ - **Depth**: 4 layers
23
  - **Patch Size**: 4x4
24
  - **PE Levels**: 12
25
  - **Simplex Dimension**: 5-simplex
 
28
 
29
  - **Dataset**: CIFAR-100
30
  - **Epochs**: 0
31
+ - **Best Accuracy**: 0.1074
32
  - **Batch Size**: 512
33
  - **Learning Rate**: 0.001
34
 
 
49
  # Download weights from Hub
50
  weights_path = hf_hub_download(
51
  repo_id="AbstractPhil/vit-beatrix",
52
+ filename="weights/beatrix-cifar100/20251007_181852/model.safetensors"
53
  )
54
 
55
  # Load model
56
  model = SimplifiedGeometricClassifier(
57
+ num_classes=100,
58
  img_size=32,
59
+ embed_dim=512,
60
+ depth=4
61
  )
62
 
63
  # Load weights
weights/beatrix-cifar100/20251007_181852/config.json ADDED
@@ -0,0 +1,43 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "num_classes": 100,
3
+ "img_size": 32,
4
+ "patch_size": 4,
5
+ "embed_dim": 512,
6
+ "k_simplex": 5,
7
+ "depth": 4,
8
+ "num_heads": 8,
9
+ "mlp_ratio": 4.0,
10
+ "dropout": 0.0,
11
+ "pe_levels": 12,
12
+ "pe_features_per_level": 2,
13
+ "pe_smooth_tau": 0.25,
14
+ "simplex_feature_weight": 0.2,
15
+ "batch_size": 512,
16
+ "num_epochs": 50,
17
+ "learning_rate": 0.001,
18
+ "weight_decay": 0.005,
19
+ "warmup_epochs": 10,
20
+ "task_loss_weight": 1.0,
21
+ "flow_loss_weight": 0.5,
22
+ "coherence_loss_weight": 0.3,
23
+ "multiscale_loss_weight": 0.2,
24
+ "volume_reg_weight": 0.1,
25
+ "use_augmentation": true,
26
+ "mixup_alpha": 0.2,
27
+ "cutmix_alpha": 1.0,
28
+ "device": "cuda",
29
+ "num_workers": 2,
30
+ "pin_memory": true,
31
+ "save_dir": "./checkpoints",
32
+ "save_every": 10,
33
+ "use_safetensors": true,
34
+ "timestamp_dirs": true,
35
+ "push_to_hub": true,
36
+ "hub_model_id": "AbstractPhil/vit-beatrix",
37
+ "hub_model_name": "beatrix-cifar100",
38
+ "hub_upload_best_only": true,
39
+ "use_tensorboard": true,
40
+ "log_dir": "./logs",
41
+ "log_every": 50,
42
+ "train_baseline": false
43
+ }
weights/beatrix-cifar100/20251007_181852/model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:bac2aa619f8043deb184307abb828d7f50d90e9b0723f008a074e26e72c5cbea
3
+ size 50831604