Epoch 200: 53.09%

README.md

@@ -5,7 +5,7 @@ tags:
 - cifar100
 - geometric-learning
 - fractal-encoding
-- in-training
+- trained
 - no-attention
 - no-cross-entropy
 datasets:
@@ -25,7 +25,7 @@ model-index:
       type: cifar100
     metrics:
     - type: accuracy
-      value: 52.97
+      value: 53.61
       name: Test Accuracy
       verified: false
 ---
@@ -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
 
 ---
 
@@ -44,29 +44,29 @@ Current Status: Epoch 150/200
 
 | Metric | Value |
 |--------|-------|
-| **Best Test Accuracy** | **52.97%** |
-| **Best Epoch** | 145 |
-| **Current Train Accuracy** | 66.95% |
-| **Current Test Accuracy** | 52.95% |
-| **Current α (Cantor param)** | 0.4466 |
+| **Best Test Accuracy** | **53.61%** |
+| **Best Epoch** | 180 |
+| **Current Train Accuracy** | 67.53% |
+| **Current Test Accuracy** | 53.09% |
+| **Current α (Cantor param)** | 0.4442 |
 | **Total Parameters** | 17,738,741 |
-| **Training Time** | 0:19:50 |
+| **Training Time** | 0:26:40 |
 
 ### All Training Runs
 
 | Timestamp | Status | Best Epoch | Test Acc | Train Acc | α |
 |-----------|--------|------------|----------|-----------|---|
+| `20251010_200842` | ✅ | 180 | **53.61%** | 67.53% | 0.4442 |
 | `20251010_185133` | ✅ | 200 | **52.97%** | 69.87% | 0.4452 |
-| `20251010_200842` | 🔄 | 145 | **52.97%** | 66.95% | 0.4466 |
 
 ### Comparison to State-of-the-Art
 
 | Model | Accuracy | Status |
 |-------|----------|--------|
-| **geo-beatrix (this model)** | **52.97%** | 🔄 Training |
+| **geo-beatrix (this model)** | **53.61%** | ✅ Complete |
 | geo-beatrix      | 69.0% | Geometric Basin CONV architecture - 50m Params |
 
-🎯 **Current target**: Beat geo-beatrix (69.0%) - Currently -16.03%
+🎯 **Current target**: Beat geo-beatrix (69.0%) - Currently -15.39%
 
 ---
 
@@ -205,19 +205,19 @@ epoch_checkpoint = hf_hub_download(
 ## Training History
 
 ### Best Checkpoint
-- Epoch: 145
-- Train Acc: 68.03%
-- Test Acc: 52.97%
-- Alpha: 0.4464
-- Loss: 0.8203
+- Epoch: 180
+- Train Acc: 69.31%
+- Test Acc: 53.61%
+- Alpha: 0.4455
+- Loss: 0.7158
 
 ### Latest 5 Epochs
 
-- **Epoch 146**: Train 67.31%, Test 0.00%, α=0.4467, Loss=0.8280
-- **Epoch 147**: Train 65.38%, Test 0.00%, α=0.4462, Loss=0.8144
-- **Epoch 148**: Train 61.88%, Test 0.00%, α=0.4443, Loss=0.7502
-- **Epoch 149**: Train 66.91%, Test 0.00%, α=0.4449, Loss=0.8090
-- **Epoch 150**: Train 66.95%, Test 52.95%, α=0.4466, Loss=0.8029
+- **Epoch 196**: Train 64.24%, Test 0.00%, α=0.4442, Loss=0.6451
+- **Epoch 197**: Train 62.74%, Test 0.00%, α=0.4442, Loss=0.6652
+- **Epoch 198**: Train 67.10%, Test 0.00%, α=0.4442, Loss=0.6804
+- **Epoch 199**: Train 67.89%, Test 0.00%, α=0.4442, Loss=0.6943
+- **Epoch 200**: Train 67.53%, Test 53.09%, α=0.4442, Loss=0.6754
 
 ### Training Milestones
 - 🎯 **50% Accuracy** reached at epoch 80