Epoch 200: 42.63%

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** | 55.37% |
-| **Current Test Accuracy** | 40.55% |
-| **Current α (Cantor param)** | 0.4966 |
+| **Current Train Accuracy** | 57.80% |
+| **Current Test Accuracy** | 42.63% |
+| **Current α (Cantor param)** | 0.4994 |
 | **Total Parameters** | 21,846,001 |
-| **Training Time** | 0:15:28 |
+| **Training Time** | 0:20:47 |
 
 ### All Training Runs
 
@@ -64,7 +64,7 @@ Current Status: Epoch 150/200
 | `20251011_002858` | ✅ | 160 | **56.12%** | 46.05% | 0.4712 |
 | `20251011_012453` | ✅ | 160 | **56.12%** | 40.18% | 0.4963 |
 | `20251011_023128` | ✅ | 160 | **56.12%** | 54.65% | 0.5005 |
-| `20251011_025919` | 🔄 | 160 | **56.12%** | 55.37% | 0.4966 |
+| `20251011_025919` | ✅ | 160 | **56.12%** | 57.80% | 0.4994 |
 | `20251010_200842` | ✅ | 180 | **53.61%** | 67.53% | 0.4442 |
 | `20251010_185133` | ✅ | 200 | **52.97%** | 69.87% | 0.4452 |
 
@@ -72,7 +72,7 @@ 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%
@@ -216,18 +216,18 @@ epoch_checkpoint = hf_hub_download(
 
 ### Best Checkpoint
 - Epoch: 160
-- Train Acc: 55.37%
-- Test Acc: 56.12%
-- Alpha: 0.4966
-- Loss: 0.0000
+- Train Acc: 54.78%
+- Test Acc: 40.25%
+- Alpha: 0.5023
+- Loss: 0.8972
 
 ### Latest 5 Epochs
 
-- **Epoch 146**: Train 54.68%, Test 0.00%, α=0.4957, Loss=0.9900
-- **Epoch 147**: Train 56.70%, Test 0.00%, α=0.5014, Loss=1.0192
-- **Epoch 148**: Train 55.56%, Test 0.00%, α=0.4939, Loss=0.9734
-- **Epoch 149**: Train 54.38%, Test 0.00%, α=0.4955, Loss=0.9291
-- **Epoch 150**: Train 55.37%, Test 40.55%, α=0.4966, Loss=0.9931
+- **Epoch 196**: Train 59.74%, Test 0.00%, α=0.4994, Loss=0.9041
+- **Epoch 197**: Train 57.60%, Test 0.00%, α=0.4991, Loss=0.8370
+- **Epoch 198**: Train 57.25%, Test 0.00%, α=0.4993, Loss=0.8311
+- **Epoch 199**: Train 60.42%, Test 0.00%, α=0.4995, Loss=0.9093
+- **Epoch 200**: Train 57.80%, Test 42.63%, α=0.4994, Loss=0.8336
 
 ### Training Milestones
 - 📊 **α ≥ 0.40** reached at epoch 1