Epoch 200: 53.54%

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** | 74.61% |
-| **Current Test Accuracy** | 53.12% |
-| **Current α (Cantor param)** | 0.4855 |
+| **Current Train Accuracy** | 73.34% |
+| **Current Test Accuracy** | 53.54% |
+| **Current α (Cantor param)** | 0.4882 |
 | **Total Parameters** | 21,846,001 |
-| **Training Time** | 0:19:20 |
+| **Training Time** | 0:25:43 |
 
 ### All Training Runs
 
@@ -60,7 +60,7 @@ Current Status: Epoch 150/200
 | `20251010_211210` | 🔄 | 160 | **56.12%** | 16.21% | 0.3879 |
 | `20251010_213807` | ✅ | 160 | **56.12%** | 64.44% | 0.4419 |
 | `20251010_230300` | ✅ | 160 | **56.12%** | 52.13% | 0.4997 |
-| `20251010_234239` | 🔄 | 160 | **56.12%** | 74.61% | 0.4855 |
+| `20251010_234239` | ✅ | 160 | **56.12%** | 73.34% | 0.4882 |
 | `20251010_200842` | ✅ | 180 | **53.61%** | 67.53% | 0.4442 |
 | `20251010_185133` | ✅ | 200 | **52.97%** | 69.87% | 0.4452 |
 
@@ -68,7 +68,7 @@ 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%
@@ -212,18 +212,18 @@ epoch_checkpoint = hf_hub_download(
 
 ### Best Checkpoint
 - Epoch: 160
-- Train Acc: 74.61%
-- Test Acc: 56.12%
-- Alpha: 0.4855
-- Loss: 0.0000
+- Train Acc: 68.63%
+- Test Acc: 52.64%
+- Alpha: 0.4874
+- Loss: 0.6508
 
 ### Latest 5 Epochs
 
-- **Epoch 146**: Train 71.93%, Test 54.14%, α=0.4849, Loss=0.7198
-- **Epoch 147**: Train 73.77%, Test 0.00%, α=0.4851, Loss=0.7246
-- **Epoch 148**: Train 72.73%, Test 53.57%, α=0.4852, Loss=0.7322
-- **Epoch 149**: Train 70.84%, Test 0.00%, α=0.4854, Loss=0.6536
-- **Epoch 150**: Train 74.61%, Test 53.12%, α=0.4855, Loss=0.7047
+- **Epoch 196**: Train 73.70%, Test 53.59%, α=0.4882, Loss=0.6216
+- **Epoch 197**: Train 69.69%, Test 0.00%, α=0.4882, Loss=0.6031
+- **Epoch 198**: Train 78.18%, Test 53.79%, α=0.4882, Loss=0.6427
+- **Epoch 199**: Train 77.42%, Test 0.00%, α=0.4882, Loss=0.6546
+- **Epoch 200**: Train 73.34%, Test 53.54%, α=0.4882, Loss=0.6353
 
 ### Training Milestones
 - 🎯 **50% Accuracy** reached at epoch 66