Epoch 200: 47.65%

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** | 40.47% |
-| **Current Test Accuracy** | 47.91% |
+| **Current Train Accuracy** | 40.18% |
+| **Current Test Accuracy** | 47.65% |
 | **Current α (Cantor param)** | 0.4963 |
 | **Total Parameters** | 21,846,001 |
-| **Training Time** | 0:17:24 |
+| **Training Time** | 0:22:58 |
 
 ### All Training Runs
 
@@ -62,7 +62,7 @@ Current Status: Epoch 150/200
 | `20251010_230300` | ✅ | 160 | **56.12%** | 52.13% | 0.4997 |
 | `20251010_234239` | ✅ | 160 | **56.12%** | 73.34% | 0.4882 |
 | `20251011_002858` | ✅ | 160 | **56.12%** | 46.05% | 0.4712 |
-| `20251011_012453` | 🔄 | 160 | **56.12%** | 40.47% | 0.4963 |
+| `20251011_012453` | ✅ | 160 | **56.12%** | 40.18% | 0.4963 |
 | `20251010_200842` | ✅ | 180 | **53.61%** | 67.53% | 0.4442 |
 | `20251010_185133` | ✅ | 200 | **52.97%** | 69.87% | 0.4452 |
 
@@ -70,7 +70,7 @@ 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%
@@ -214,18 +214,18 @@ epoch_checkpoint = hf_hub_download(
 
 ### Best Checkpoint
 - Epoch: 160
-- Train Acc: 40.47%
-- Test Acc: 56.12%
-- Alpha: 0.4963
-- Loss: 0.0000
+- Train Acc: 40.73%
+- Test Acc: 48.12%
+- Alpha: 0.4966
+- Loss: 1.1347
 
 ### Latest 5 Epochs
 
-- **Epoch 146**: Train 41.56%, Test 0.00%, α=0.4953, Loss=1.2248
-- **Epoch 147**: Train 42.01%, Test 0.00%, α=0.4956, Loss=1.3639
-- **Epoch 148**: Train 41.42%, Test 0.00%, α=0.4953, Loss=1.2789
-- **Epoch 149**: Train 41.77%, Test 0.00%, α=0.4960, Loss=1.2855
-- **Epoch 150**: Train 40.47%, Test 47.91%, α=0.4963, Loss=1.0923
+- **Epoch 196**: Train 42.68%, Test 0.00%, α=0.4963, Loss=1.1746
+- **Epoch 197**: Train 44.84%, Test 0.00%, α=0.4963, Loss=1.3002
+- **Epoch 198**: Train 39.74%, Test 0.00%, α=0.4963, Loss=1.0055
+- **Epoch 199**: Train 37.44%, Test 0.00%, α=0.4963, Loss=0.9007
+- **Epoch 200**: Train 40.18%, Test 47.65%, α=0.4963, Loss=0.9759
 
 ### Training Milestones
 - 📊 **α ≥ 0.40** reached at epoch 23