Epoch 200: 51.51%

README.md

@@ -5,7 +5,7 @@ tags:
 - cifar100
 - geometric-learning
 - fractal-encoding
-- in-training
+- trained
 - no-attention
 - no-cross-entropy
 datasets:
@@ -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
 
 ---
 
@@ -46,11 +46,11 @@ Current Status: Epoch 150/200
 |--------|-------|
 | **Best Test Accuracy** | **56.12%** |
 | **Best Epoch** | 160 |
-| **Current Train Accuracy** | 58.62% |
-| **Current Test Accuracy** | 51.43% |
-| **Current α (Cantor param)** | 0.4142 |
+| **Current Train Accuracy** | 59.29% |
+| **Current Test Accuracy** | 51.51% |
+| **Current α (Cantor param)** | 0.4031 |
 | **Total Parameters** | 28,561,101 |
-| **Training Time** | 0:20:28 |
+| **Training Time** | 0:27:18 |
 
 ### All Training Runs
 
@@ -67,7 +67,7 @@ Current Status: Epoch 150/200
 | `20251011_025919` | ✅ | 160 | **56.12%** | 57.80% | 0.4994 |
 | `20251011_032343` | ✅ | 160 | **56.12%** | 53.80% | 0.4377 |
 | `20251011_034748` | ✅ | 160 | **56.12%** | 65.10% | 0.4326 |
-| `20251011_041716` | 🔄 | 160 | **56.12%** | 58.62% | 0.4142 |
+| `20251011_041716` | ✅ | 160 | **56.12%** | 59.29% | 0.4031 |
 | `20251010_200842` | ✅ | 180 | **53.61%** | 67.53% | 0.4442 |
 | `20251010_185133` | ✅ | 200 | **52.97%** | 69.87% | 0.4452 |
 
@@ -75,7 +75,7 @@ Current Status: Epoch 150/200
 
 | Model | Accuracy | Status |
 |-------|----------|--------|
-| **geo-beatrix (this model)** | **56.12%** | 🔄 Training |
+| **geo-beatrix (this model)** | **56.12%** | ✅ Complete |
 | geo-beatrix (50M params) | 69.0% | Geometric Basin CONV architecture |
 
 🎯 **Current target**: Beat geo-beatrix (69.0%) - Currently -12.88%
@@ -219,18 +219,18 @@ epoch_checkpoint = hf_hub_download(
 
 ### Best Checkpoint
 - Epoch: 160
-- Train Acc: 58.62%
-- Test Acc: 56.12%
-- Alpha: 0.4142
-- Loss: 0.0000
+- Train Acc: 59.43%
+- Test Acc: 51.64%
+- Alpha: 0.4071
+- Loss: 0.7570
 
 ### Latest 5 Epochs
 
-- **Epoch 146**: Train 57.43%, Test 0.00%, α=0.4149, Loss=0.7838
-- **Epoch 147**: Train 59.67%, Test 0.00%, α=0.4168, Loss=0.8981
-- **Epoch 148**: Train 58.83%, Test 0.00%, α=0.4135, Loss=0.7631
-- **Epoch 149**: Train 59.77%, Test 0.00%, α=0.4151, Loss=0.8283
-- **Epoch 150**: Train 58.62%, Test 51.43%, α=0.4142, Loss=0.8086
+- **Epoch 196**: Train 62.03%, Test 0.00%, α=0.4032, Loss=0.7300
+- **Epoch 197**: Train 59.02%, Test 0.00%, α=0.4031, Loss=0.6201
+- **Epoch 198**: Train 58.49%, Test 0.00%, α=0.4031, Loss=0.6571
+- **Epoch 199**: Train 59.32%, Test 0.00%, α=0.4031, Loss=0.6543
+- **Epoch 200**: Train 59.29%, Test 51.51%, α=0.4031, Loss=0.6505
 
 ### Training Milestones
 - 🎯 **50% Accuracy** reached at epoch 120