Epoch 200: 53.62%

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** | 63.42% |
-| **Current Test Accuracy** | 53.70% |
-| **Current α (Cantor param)** | 0.4391 |
+| **Current Train Accuracy** | 64.44% |
+| **Current Test Accuracy** | 53.62% |
+| **Current α (Cantor param)** | 0.4419 |
 | **Total Parameters** | 27,846,901 |
-| **Training Time** | 0:20:45 |
+| **Training Time** | 0:27:37 |
 
 ### All Training Runs
 
@@ -58,7 +58,7 @@ Current Status: Epoch 150/200
 |-----------|--------|------------|----------|-----------|---|
 | `20251010_203717` | ✅ | 160 | **56.12%** | 67.82% | 0.4481 |
 | `20251010_211210` | 🔄 | 160 | **56.12%** | 16.21% | 0.3879 |
-| `20251010_213807` | 🔄 | 160 | **56.12%** | 63.42% | 0.4391 |
+| `20251010_213807` | ✅ | 160 | **56.12%** | 64.44% | 0.4419 |
 | `20251010_200842` | ✅ | 180 | **53.61%** | 67.53% | 0.4442 |
 | `20251010_185133` | ✅ | 200 | **52.97%** | 69.87% | 0.4452 |
 
@@ -66,7 +66,7 @@ Current Status: Epoch 150/200
 
 | Model | Accuracy | Status |
 |-------|----------|--------|
-| **geo-beatrix (this model)** | **56.12%** | 🔄 Training |
+| **geo-beatrix (this model)** | **56.12%** | ✅ Complete |
 | geo-beatrix      | 69.0% | Geometric Basin CONV architecture - 50m Params |
 
 🎯 **Current target**: Beat geo-beatrix (69.0%) - Currently -12.88%
@@ -210,18 +210,18 @@ epoch_checkpoint = hf_hub_download(
 
 ### Best Checkpoint
 - Epoch: 160
-- Train Acc: 63.42%
-- Test Acc: 56.12%
-- Alpha: 0.4391
-- Loss: 0.0000
+- Train Acc: 65.96%
+- Test Acc: 54.14%
+- Alpha: 0.4427
+- Loss: 0.8208
 
 ### Latest 5 Epochs
 
-- **Epoch 146**: Train 63.46%, Test 0.00%, α=0.4389, Loss=0.8776
-- **Epoch 147**: Train 63.13%, Test 0.00%, α=0.4411, Loss=0.8661
-- **Epoch 148**: Train 61.13%, Test 0.00%, α=0.4410, Loss=0.8449
-- **Epoch 149**: Train 61.66%, Test 0.00%, α=0.4410, Loss=0.8585
-- **Epoch 150**: Train 63.42%, Test 53.70%, α=0.4391, Loss=0.8422
+- **Epoch 196**: Train 65.52%, Test 0.00%, α=0.4420, Loss=0.7704
+- **Epoch 197**: Train 62.64%, Test 0.00%, α=0.4420, Loss=0.7315
+- **Epoch 198**: Train 64.22%, Test 0.00%, α=0.4419, Loss=0.7351
+- **Epoch 199**: Train 60.50%, Test 0.00%, α=0.4419, Loss=0.7178
+- **Epoch 200**: Train 64.44%, Test 53.62%, α=0.4419, Loss=0.7510
 
 ### Training Milestones
 - 🎯 **50% Accuracy** reached at epoch 85