Epoch 200: 52.69%

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** | 63.38% |
-| **Current Test Accuracy** | 52.43% |
-| **Current α (Cantor param)** | 0.4332 |
+| **Current Train Accuracy** | 65.10% |
+| **Current Test Accuracy** | 52.69% |
+| **Current α (Cantor param)** | 0.4326 |
 | **Total Parameters** | 28,561,101 |
-| **Training Time** | 0:20:37 |
+| **Training Time** | 0:27:29 |
 
 ### All Training Runs
 
@@ -66,7 +66,7 @@ Current Status: Epoch 150/200
 | `20251011_023128` | ✅ | 160 | **56.12%** | 54.65% | 0.5005 |
 | `20251011_025919` | ✅ | 160 | **56.12%** | 57.80% | 0.4994 |
 | `20251011_032343` | ✅ | 160 | **56.12%** | 53.80% | 0.4377 |
-| `20251011_034748` | 🔄 | 160 | **56.12%** | 63.38% | 0.4332 |
+| `20251011_034748` | ✅ | 160 | **56.12%** | 65.10% | 0.4326 |
 | `20251010_200842` | ✅ | 180 | **53.61%** | 67.53% | 0.4442 |
 | `20251010_185133` | ✅ | 200 | **52.97%** | 69.87% | 0.4452 |
 
@@ -74,7 +74,7 @@ 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%
@@ -218,18 +218,18 @@ epoch_checkpoint = hf_hub_download(
 
 ### Best Checkpoint
 - Epoch: 160
-- Train Acc: 63.38%
-- Test Acc: 56.12%
-- Alpha: 0.4332
-- Loss: 0.0000
+- Train Acc: 64.67%
+- Test Acc: 52.16%
+- Alpha: 0.4345
+- Loss: 0.8826
 
 ### Latest 5 Epochs
 
-- **Epoch 146**: Train 63.31%, Test 0.00%, α=0.4353, Loss=0.9607
-- **Epoch 147**: Train 62.44%, Test 0.00%, α=0.4329, Loss=0.8972
-- **Epoch 148**: Train 64.36%, Test 0.00%, α=0.4353, Loss=0.9785
-- **Epoch 149**: Train 62.89%, Test 0.00%, α=0.4333, Loss=0.8837
-- **Epoch 150**: Train 63.38%, Test 52.43%, α=0.4332, Loss=0.9019
+- **Epoch 196**: Train 66.24%, Test 0.00%, α=0.4326, Loss=0.8374
+- **Epoch 197**: Train 65.13%, Test 0.00%, α=0.4326, Loss=0.7934
+- **Epoch 198**: Train 65.10%, Test 0.00%, α=0.4326, Loss=0.7766
+- **Epoch 199**: Train 65.58%, Test 0.00%, α=0.4326, Loss=0.8093
+- **Epoch 200**: Train 65.10%, Test 52.69%, α=0.4326, Loss=0.7978
 
 ### Training Milestones
 - 🎯 **50% Accuracy** reached at epoch 115