Update beatrix-cifar100_20251007_193112 - Epoch 0 - Acc: 0.0570

README.md

@@ -16,12 +16,13 @@ with geometric simplex features for vision tasks.
 
 ## Available Models (Best Checkpoints Only)
 
-| Model Name | Accuracy | Epoch | Timestamp | Path |
-|------------|----------|-------|-----------|------|
-| beatrix-cifar100 | 0.5819 | 42 | 20251007_182851 | `weights/beatrix-cifar100/20251007_182851` |
+| Model Name | Training Session | Accuracy | Epoch | Path |
+|------------|------------------|----------|-------|------|
+| beatrix-cifar100 | 20251007_182851 | 0.5819 | 42 | `weights/beatrix-cifar100/20251007_182851` |
+| beatrix-cifar100 | 20251007_193112 | 0.0570 | 0 | `weights/beatrix-cifar100/20251007_193112` |
 
 
-## Latest Updated Model: beatrix-cifar100
+## Latest Updated Model: beatrix-cifar100 (Session: 20251007_193112)
 
 ### Model Details
 
@@ -31,18 +32,19 @@ with geometric simplex features for vision tasks.
 - **Depth**: 12 layers
 - **Patch Size**: 4x4
 - **PE Levels**: 12
-- **Simplex Dimension**: 5-simplex
+- **Simplex Dimension**: 4-simplex
 
 ### Training Details
 
-- **Best Accuracy**: 0.5819
-- **Epochs Trained**: 42
+- **Training Session**: 20251007_193112
+- **Best Accuracy**: 0.0570
+- **Epochs Trained**: 0
 - **Batch Size**: 512
-- **Learning Rate**: 0.001
+- **Learning Rate**: 0.0001
 
 ### Loss Configuration
 
-- Task Loss Weight: 1.0
+- Task Loss Weight: 0.5
 - Flow Alignment Weight: 0.5
 - Coherence Weight: 0.3
 - Multi-Scale Weight: 0.2
@@ -53,11 +55,25 @@ with geometric simplex features for vision tasks.
 from geovocab2.train.model.vit_beatrix import SimplifiedGeometricClassifier
 from safetensors.torch import load_file
 from huggingface_hub import hf_hub_download
+import json
 
-# Download weights from Hub (example for beatrix-cifar100)
+# Download and view manifest to see all available models
+manifest_path = hf_hub_download(
+    repo_id="AbstractPhil/vit-beatrix",
+    filename="manifest.json"
+)
+
+with open(manifest_path, 'r') as f:
+    manifest = json.load(f)
+    
+# List all available models sorted by accuracy
+for key, info in sorted(manifest.items(), key=lambda x: x[1]['accuracy'], reverse=True):
+    print(f"{info['model_name']} ({info['timestamp']}): {info['accuracy']:.4f}")
+
+# Download weights for the latest training session of beatrix-cifar100
 weights_path = hf_hub_download(
     repo_id="AbstractPhil/vit-beatrix",
-    filename="weights/beatrix-cifar100/20251007_182851/model.safetensors"
+    filename="weights/beatrix-cifar100/20251007_193112/model.safetensors"
 )
 
 # Load model

manifest.json

@@ -8,5 +8,16 @@
     "depth": 12,
     "batch_size": 512,
     "learning_rate": 0.001
+  },
+  "beatrix-cifar100_20251007_193112": {
+    "accuracy": 0.0569967832416296,
+    "epoch": 0,
+    "timestamp": "20251007_193112",
+    "model_name": "beatrix-cifar100",
+    "path": "weights/beatrix-cifar100/20251007_193112",
+    "embed_dim": 256,
+    "depth": 12,
+    "batch_size": 512,
+    "learning_rate": 0.0001
   }
 }

weights/beatrix-cifar100/20251007_193112/config.json

@@ -0,0 +1,44 @@
+{
+  "num_classes": 100,
+  "img_size": 32,
+  "patch_size": 4,
+  "embed_dim": 256,
+  "k_simplex": 4,
+  "depth": 12,
+  "num_heads": 8,
+  "mlp_ratio": 4.0,
+  "dropout": 0.0,
+  "pe_levels": 12,
+  "pe_features_per_level": 2,
+  "pe_smooth_tau": 0.25,
+  "simplex_feature_weight": 0.5,
+  "batch_size": 512,
+  "num_epochs": 50,
+  "learning_rate": 0.0001,
+  "weight_decay": 0.005,
+  "warmup_epochs": 10,
+  "task_loss_weight": 0.5,
+  "flow_loss_weight": 0.5,
+  "coherence_loss_weight": 0.3,
+  "multiscale_loss_weight": 0.2,
+  "volume_reg_weight": 0.1,
+  "use_augmentation": false,
+  "mixup_alpha": 0.2,
+  "cutmix_alpha": 1.0,
+  "device": "cuda",
+  "num_workers": 4,
+  "pin_memory": true,
+  "save_dir": "./checkpoints",
+  "save_every": 10,
+  "use_safetensors": true,
+  "timestamp_dirs": true,
+  "push_to_hub": true,
+  "hub_model_id": "AbstractPhil/vit-beatrix",
+  "hub_model_name": "beatrix-cifar100",
+  "hub_upload_best_only": true,
+  "hub_upload_every_n_epochs": 10,
+  "use_tensorboard": true,
+  "log_dir": "./logs",
+  "log_every": 50,
+  "train_baseline": false
+}

weights/beatrix-cifar100/20251007_193112/model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e956e12777e842f38d6d8e1c5a2724ed95d58ae3b89b895c2250bfb7704e47aa
+size 38116128