Epoch 200: 68.59%

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: 68.72
+      value: 69.08
       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
 
 ---
 
@@ -44,25 +44,25 @@ Current Status: Epoch 150/200
 
 | Metric | Value |
 |--------|-------|
-| **Best Test Accuracy** | **68.72%** |
-| **Best Epoch** | 150 |
-| **Current Train Accuracy** | 73.29% |
-| **Current Test Accuracy** | 68.72% |
-| **Current α (Cantor param)** | 0.4477 |
+| **Best Test Accuracy** | **69.08%** |
+| **Best Epoch** | 190 |
+| **Current Train Accuracy** | 67.35% |
+| **Current Test Accuracy** | 68.59% |
+| **Current α (Cantor param)** | 0.4488 |
 | **Total Parameters** | 60,440,937 |
-| **Training Time** | 0:46:51 |
+| **Training Time** | 1:02:41 |
 
 ### All Training Runs
 
 | Timestamp | Status | Best Epoch | Test Acc | Train Acc | α |
 |-----------|--------|------------|----------|-----------|---|
-| `20251010_035422` | 🔄 | 150 | **68.72%** | 73.29% | 0.4477 |
+| `20251010_035422` | ✅ | 190 | **69.08%** | 67.35% | 0.4488 |
 
 ### Comparison to State-of-the-Art
 
 | Model | Accuracy | Status |
 |-------|----------|--------|
-| **geo-beatrix (this model)** | **68.72%** | 🔄 Training |
+| **geo-beatrix (this model)** | **69.08%** | ✅ Complete |
 | vit-beatrix-dualstream | 66.0% | Vision Transformer + Cross-Entropy |
 
 ✅ **geo-beatrix has surpassed all baselines!**
@@ -186,19 +186,19 @@ epoch_checkpoint = hf_hub_download(
 ## Training History
 
 ### Best Checkpoint
-- Epoch: 150
-- Train Acc: 73.29%
-- Test Acc: 68.72%
-- Alpha: 0.4477
-- Loss: 0.5045
+- Epoch: 190
+- Train Acc: 72.36%
+- Test Acc: 69.08%
+- Alpha: 0.4489
+- Loss: 0.4646
 
 ### Latest 5 Epochs
 
-- **Epoch 146**: Train 72.97%, Test 0.00%, α=0.4482, Loss=0.5056
-- **Epoch 147**: Train 71.37%, Test 0.00%, α=0.4484, Loss=0.4993
-- **Epoch 148**: Train 74.14%, Test 0.00%, α=0.4469, Loss=0.5086
-- **Epoch 149**: Train 72.99%, Test 0.00%, α=0.4485, Loss=0.5048
-- **Epoch 150**: Train 73.29%, Test 68.72%, α=0.4477, Loss=0.5045
+- **Epoch 196**: Train 70.17%, Test 0.00%, α=0.4488, Loss=0.4597
+- **Epoch 197**: Train 69.91%, Test 0.00%, α=0.4488, Loss=0.4605
+- **Epoch 198**: Train 63.52%, Test 0.00%, α=0.4488, Loss=0.4586
+- **Epoch 199**: Train 68.84%, Test 0.00%, α=0.4488, Loss=0.4620
+- **Epoch 200**: Train 67.35%, Test 68.59%, α=0.4488, Loss=0.4567
 
 ### Training Milestones
 - 🎯 **50% Accuracy** reached at epoch 35