Epoch 200: 55.75%

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** | 46.81% |
-| **Current Test Accuracy** | 54.70% |
-| **Current α (Cantor param)** | 0.4688 |
+| **Current Train Accuracy** | 46.05% |
+| **Current Test Accuracy** | 55.75% |
+| **Current α (Cantor param)** | 0.4712 |
 | **Total Parameters** | 21,846,001 |
-| **Training Time** | 0:17:52 |
+| **Training Time** | 0:23:45 |
 
 ### All Training Runs
 
@@ -61,7 +61,7 @@ Current Status: Epoch 150/200
 | `20251010_213807` | ✅ | 160 | **56.12%** | 64.44% | 0.4419 |
 | `20251010_230300` | ✅ | 160 | **56.12%** | 52.13% | 0.4997 |
 | `20251010_234239` | ✅ | 160 | **56.12%** | 73.34% | 0.4882 |
-| `20251011_002858` | 🔄 | 160 | **56.12%** | 46.81% | 0.4688 |
+| `20251011_002858` | ✅ | 160 | **56.12%** | 46.05% | 0.4712 |
 | `20251010_200842` | ✅ | 180 | **53.61%** | 67.53% | 0.4442 |
 | `20251010_185133` | ✅ | 200 | **52.97%** | 69.87% | 0.4452 |
 
@@ -69,7 +69,7 @@ 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%
@@ -213,18 +213,18 @@ epoch_checkpoint = hf_hub_download(
 
 ### Best Checkpoint
 - Epoch: 160
-- Train Acc: 46.81%
-- Test Acc: 56.12%
-- Alpha: 0.4688
-- Loss: 0.0000
+- Train Acc: 48.41%
+- Test Acc: 55.40%
+- Alpha: 0.4681
+- Loss: 1.0471
 
 ### Latest 5 Epochs
 
-- **Epoch 146**: Train 49.25%, Test 55.10%, α=0.4688, Loss=1.1841
-- **Epoch 147**: Train 48.68%, Test 0.00%, α=0.4693, Loss=1.1334
-- **Epoch 148**: Train 49.48%, Test 54.65%, α=0.4698, Loss=1.0709
-- **Epoch 149**: Train 47.59%, Test 0.00%, α=0.4694, Loss=1.0279
-- **Epoch 150**: Train 46.81%, Test 54.70%, α=0.4688, Loss=0.9310
+- **Epoch 196**: Train 48.55%, Test 56.10%, α=0.4712, Loss=1.0485
+- **Epoch 197**: Train 48.00%, Test 0.00%, α=0.4712, Loss=0.9065
+- **Epoch 198**: Train 48.99%, Test 55.71%, α=0.4712, Loss=0.9714
+- **Epoch 199**: Train 49.06%, Test 0.00%, α=0.4712, Loss=0.9272
+- **Epoch 200**: Train 46.05%, Test 55.75%, α=0.4712, Loss=0.9285
 
 ### Training Milestones
 - 🎯 **50% Accuracy** reached at epoch 92