Epoch 200: 67.13%

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: 66.74
+      value: 67.43
       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** | **66.74%** |
-| **Best Epoch** | 145 |
-| **Current Train Accuracy** | 62.74% |
-| **Current Test Accuracy** | 66.55% |
-| **Current α (Cantor param)** | 0.4408 |
+| **Best Test Accuracy** | **67.43%** |
+| **Best Epoch** | 195 |
+| **Current Train Accuracy** | 62.96% |
+| **Current Test Accuracy** | 67.13% |
+| **Current α (Cantor param)** | 0.4424 |
 | **Total Parameters** | 45,235,067 |
-| **Training Time** | 0:40:54 |
+| **Training Time** | 0:55:15 |
 
 ### All Training Runs
 
 | Timestamp | Status | Best Epoch | Test Acc | Train Acc | α |
 |-----------|--------|------------|----------|-----------|---|
-| `20251010_014649` | 🔄 | 145 | **66.74%** | 62.74% | 0.4408 |
+| `20251010_014649` | ✅ | 195 | **67.43%** | 62.96% | 0.4424 |
 
 ### Comparison to State-of-the-Art
 
 | Model | Accuracy | Status |
 |-------|----------|--------|
-| **geo-beatrix (this model)** | **66.74%** | 🔄 Training |
+| **geo-beatrix (this model)** | **67.43%** | ✅ Complete |
 | vit-beatrix-dualstream | 66.0% | Vision Transformer + Cross-Entropy |
 | CLIP ViT-L/14 (zero-shot) | ~63-65% | 400M image-text pairs |
 | CLIP ViT-B/32 (zero-shot) | ~63.5% | Vision Transformer |
@@ -188,24 +188,25 @@ epoch_checkpoint = hf_hub_download(
 ## Training History
 
 ### Best Checkpoint
-- Epoch: 145
-- Train Acc: 68.64%
-- Test Acc: 66.74%
-- Alpha: 0.4421
-- Loss: 0.5569
+- Epoch: 195
+- Train Acc: 58.21%
+- Test Acc: 67.43%
+- Alpha: 0.4424
+- Loss: 0.4848
 
 ### Latest 5 Epochs
 
-- **Epoch 146**: Train 69.81%, Test 0.00%, α=0.4431, Loss=0.5596
-- **Epoch 147**: Train 63.19%, Test 0.00%, α=0.4411, Loss=0.5365
-- **Epoch 148**: Train 67.51%, Test 0.00%, α=0.4416, Loss=0.5459
-- **Epoch 149**: Train 63.99%, Test 0.00%, α=0.4425, Loss=0.5447
-- **Epoch 150**: Train 62.74%, Test 66.55%, α=0.4408, Loss=0.5356
+- **Epoch 196**: Train 59.96%, Test 0.00%, α=0.4424, Loss=0.4921
+- **Epoch 197**: Train 60.25%, Test 0.00%, α=0.4424, Loss=0.4843
+- **Epoch 198**: Train 61.70%, Test 0.00%, α=0.4424, Loss=0.4852
+- **Epoch 199**: Train 63.14%, Test 0.00%, α=0.4424, Loss=0.4957
+- **Epoch 200**: Train 62.96%, Test 67.13%, α=0.4424, Loss=0.4965
 
 ### Training Milestones
 - 🎯 **50% Accuracy** reached at epoch 40
 - 🎯 **60% Accuracy** reached at epoch 60
 - 🏆 **Beat vit-beatrix (66.0%)** at epoch 145
+- 🚀 **67% Accuracy** reached at epoch 175
 - 📊 **α ≥ 0.40** reached at epoch 9
 - 📊 **α ≥ 0.44** (near triadic equilibrium) at epoch 117