Epoch 200: 39.51%

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** | 57.36% |
-| **Current Test Accuracy** | 41.19% |
-| **Current α (Cantor param)** | 0.4386 |
+| **Current Train Accuracy** | 53.80% |
+| **Current Test Accuracy** | 39.51% |
+| **Current α (Cantor param)** | 0.4377 |
 | **Total Parameters** | 28,561,101 |
-| **Training Time** | 0:16:12 |
+| **Training Time** | 0:21:41 |
 
 ### All Training Runs
 
@@ -65,7 +65,7 @@ Current Status: Epoch 150/200
 | `20251011_012453` | ✅ | 160 | **56.12%** | 40.18% | 0.4963 |
 | `20251011_023128` | ✅ | 160 | **56.12%** | 54.65% | 0.5005 |
 | `20251011_025919` | ✅ | 160 | **56.12%** | 57.80% | 0.4994 |
-| `20251011_032343` | 🔄 | 160 | **56.12%** | 57.36% | 0.4386 |
+| `20251011_032343` | ✅ | 160 | **56.12%** | 53.80% | 0.4377 |
 | `20251010_200842` | ✅ | 180 | **53.61%** | 67.53% | 0.4442 |
 | `20251010_185133` | ✅ | 200 | **52.97%** | 69.87% | 0.4452 |
 
@@ -73,7 +73,7 @@ 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%
@@ -217,18 +217,18 @@ epoch_checkpoint = hf_hub_download(
 
 ### Best Checkpoint
 - Epoch: 160
-- Train Acc: 57.36%
-- Test Acc: 56.12%
-- Alpha: 0.4386
-- Loss: 0.0000
+- Train Acc: 58.15%
+- Test Acc: 41.74%
+- Alpha: 0.4387
+- Loss: 0.8552
 
 ### Latest 5 Epochs
 
-- **Epoch 146**: Train 59.04%, Test 0.00%, α=0.4402, Loss=0.9496
-- **Epoch 147**: Train 55.85%, Test 0.00%, α=0.4377, Loss=0.8777
-- **Epoch 148**: Train 57.65%, Test 0.00%, α=0.4387, Loss=0.8905
-- **Epoch 149**: Train 56.98%, Test 0.00%, α=0.4389, Loss=0.8944
-- **Epoch 150**: Train 57.36%, Test 41.19%, α=0.4386, Loss=0.8741
+- **Epoch 196**: Train 60.15%, Test 0.00%, α=0.4377, Loss=0.8412
+- **Epoch 197**: Train 54.50%, Test 0.00%, α=0.4377, Loss=0.7728
+- **Epoch 198**: Train 54.60%, Test 0.00%, α=0.4377, Loss=0.7710
+- **Epoch 199**: Train 54.85%, Test 0.00%, α=0.4377, Loss=0.7651
+- **Epoch 200**: Train 53.80%, Test 39.51%, α=0.4377, Loss=0.7805
 
 ### Training Milestones
 - 📊 **α ≥ 0.40** reached at epoch 40