Epoch 200: 52.97%

README.md

@@ -5,7 +5,7 @@ tags:
 - cifar100
 - geometric-learning
 - fractal-encoding
-- in-training
+- trained
 - no-attention
 - no-cross-entropy
 datasets:
@@ -25,7 +25,7 @@ model-index:
       type: cifar100
     metrics:
     - type: accuracy
-      value: 51.91
+      value: 52.97
       name: Test Accuracy
       verified: false
 ---
@@ -34,9 +34,9 @@ model-index:
 
 **Geometric Basin Classification for CIFAR-100**
 
-🚧 **Training in Progress** 🚧
+🎉 **Training Complete** 🎉
 
-Current Status: Epoch 150/200
+Final Status: Epoch 200/200
 
 ---
 
@@ -44,28 +44,28 @@ Current Status: Epoch 150/200
 
 | Metric | Value |
 |--------|-------|
-| **Best Test Accuracy** | **51.91%** |
-| **Best Epoch** | 140 |
-| **Current Train Accuracy** | 64.34% |
-| **Current Test Accuracy** | 51.84% |
-| **Current α (Cantor param)** | 0.4450 |
+| **Best Test Accuracy** | **52.97%** |
+| **Best Epoch** | 200 |
+| **Current Train Accuracy** | 69.87% |
+| **Current Test Accuracy** | 52.97% |
+| **Current α (Cantor param)** | 0.4452 |
 | **Total Parameters** | 11,952,641 |
-| **Training Time** | 0:23:05 |
+| **Training Time** | 0:30:56 |
 
 ### All Training Runs
 
 | Timestamp | Status | Best Epoch | Test Acc | Train Acc | α |
 |-----------|--------|------------|----------|-----------|---|
-| `20251010_185133` | 🔄 | 140 | **51.91%** | 64.34% | 0.4450 |
+| `20251010_185133` | ✅ | 200 | **52.97%** | 69.87% | 0.4452 |
 
 ### Comparison to State-of-the-Art
 
 | Model | Accuracy | Status |
 |-------|----------|--------|
-| **geo-beatrix (this model)** | **51.91%** | 🔄 Training |
+| **geo-beatrix (this model)** | **52.97%** | ✅ Complete |
 | vit-beatrix-dualstream | 66.0% | Vision Transformer + Cross-Entropy |
 
-🎯 **Current target**: Beat vit-beatrix (66.0%) - Currently -14.09%
+🎯 **Current target**: Beat vit-beatrix (66.0%) - Currently -13.03%
 
 ---
 
@@ -204,19 +204,19 @@ epoch_checkpoint = hf_hub_download(
 ## Training History
 
 ### Best Checkpoint
-- Epoch: 140
-- Train Acc: 65.59%
-- Test Acc: 51.91%
-- Alpha: 0.4444
-- Loss: 0.8350
+- Epoch: 200
+- Train Acc: 69.87%
+- Test Acc: 52.97%
+- Alpha: 0.4452
+- Loss: 0.6860
 
 ### Latest 5 Epochs
 
-- **Epoch 146**: Train 66.88%, Test 0.00%, α=0.4448, Loss=0.8195
-- **Epoch 147**: Train 67.98%, Test 0.00%, α=0.4451, Loss=0.8429
-- **Epoch 148**: Train 68.48%, Test 0.00%, α=0.4468, Loss=0.7858
-- **Epoch 149**: Train 66.43%, Test 0.00%, α=0.4455, Loss=0.7942
-- **Epoch 150**: Train 64.34%, Test 51.84%, α=0.4450, Loss=0.7643
+- **Epoch 196**: Train 65.82%, Test 0.00%, α=0.4452, Loss=0.6758
+- **Epoch 197**: Train 66.76%, Test 0.00%, α=0.4453, Loss=0.6885
+- **Epoch 198**: Train 67.59%, Test 0.00%, α=0.4453, Loss=0.6682
+- **Epoch 199**: Train 63.85%, Test 0.00%, α=0.4452, Loss=0.6657
+- **Epoch 200**: Train 69.87%, Test 52.97%, α=0.4452, Loss=0.6860
 
 ### Training Milestones
 - 🎯 **50% Accuracy** reached at epoch 95