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Epoch 200: 65.83%

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  1. README.md +18 -18
README.md CHANGED
@@ -5,7 +5,7 @@ tags:
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  - cifar100
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  - geometric-learning
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  - fractal-encoding
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- - in-training
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  - no-attention
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  - no-cross-entropy
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  datasets:
@@ -34,9 +34,9 @@ model-index:
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  **Geometric Basin Classification for CIFAR-100**
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- 🚧 **Training in Progress** 🚧
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- Current Status: Epoch 150/200
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  ---
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@@ -46,23 +46,23 @@ Current Status: Epoch 150/200
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  |--------|-------|
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  | **Best Test Accuracy** | **69.08%** |
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  | **Best Epoch** | 190 |
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- | **Current Train Accuracy** | 69.55% |
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- | **Current Test Accuracy** | 67.08% |
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- | **Current α (Cantor param)** | 0.4449 |
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  | **Total Parameters** | 198,392,937 |
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- | **Training Time** | 1:21:17 |
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  ### All Training Runs
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  | Timestamp | Status | Best Epoch | Test Acc | Train Acc | α |
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  |-----------|--------|------------|----------|-----------|---|
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- | `20251010_100047` | 🔄 | 190 | **69.08%** | 69.55% | 0.4449 |
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  ### Comparison to State-of-the-Art
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  | Model | Accuracy | Status |
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  |-------|----------|--------|
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- | **geo-beatrix (this model)** | **69.08%** | 🔄 Training |
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  | vit-beatrix-dualstream | 66.0% | Vision Transformer + Cross-Entropy |
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  ✅ **geo-beatrix has surpassed all baselines!**
@@ -187,18 +187,18 @@ epoch_checkpoint = hf_hub_download(
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  ### Best Checkpoint
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  - Epoch: 190
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- - Train Acc: 69.55%
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- - Test Acc: 69.08%
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- - Alpha: 0.4449
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- - Loss: 0.0000
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  ### Latest 5 Epochs
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- - **Epoch 146**: Train 73.36%, Test 0.00%, α=0.4453, Loss=0.5553
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- - **Epoch 147**: Train 68.45%, Test 0.00%, α=0.4453, Loss=0.5440
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- - **Epoch 148**: Train 69.11%, Test 0.00%, α=0.4448, Loss=0.5374
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- - **Epoch 149**: Train 69.57%, Test 0.00%, α=0.4446, Loss=0.5393
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- - **Epoch 150**: Train 69.55%, Test 67.08%, α=0.4449, Loss=0.5372
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  ### Training Milestones
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  - 🎯 **50% Accuracy** reached at epoch 35
 
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  - cifar100
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  - geometric-learning
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  - fractal-encoding
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+ - trained
9
  - no-attention
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  - no-cross-entropy
11
  datasets:
 
34
 
35
  **Geometric Basin Classification for CIFAR-100**
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+ 🎉 **Training Complete** 🎉
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+ Final Status: Epoch 200/200
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  ---
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  |--------|-------|
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  | **Best Test Accuracy** | **69.08%** |
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  | **Best Epoch** | 190 |
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+ | **Current Train Accuracy** | 62.61% |
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+ | **Current Test Accuracy** | 65.83% |
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+ | **Current α (Cantor param)** | 0.4462 |
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  | **Total Parameters** | 198,392,937 |
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+ | **Training Time** | 1:47:30 |
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  ### All Training Runs
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  | Timestamp | Status | Best Epoch | Test Acc | Train Acc | α |
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  |-----------|--------|------------|----------|-----------|---|
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+ | `20251010_100047` | | 190 | **69.08%** | 62.61% | 0.4462 |
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  ### Comparison to State-of-the-Art
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  | Model | Accuracy | Status |
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  |-------|----------|--------|
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+ | **geo-beatrix (this model)** | **69.08%** | Complete |
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  | vit-beatrix-dualstream | 66.0% | Vision Transformer + Cross-Entropy |
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  ✅ **geo-beatrix has surpassed all baselines!**
 
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  ### Best Checkpoint
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  - Epoch: 190
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+ - Train Acc: 67.58%
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+ - Test Acc: 67.91%
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+ - Alpha: 0.4461
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+ - Loss: 0.4957
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  ### Latest 5 Epochs
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+ - **Epoch 196**: Train 67.80%, Test 0.00%, α=0.4462, Loss=0.4937
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+ - **Epoch 197**: Train 64.55%, Test 0.00%, α=0.4462, Loss=0.4892
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+ - **Epoch 198**: Train 69.19%, Test 0.00%, α=0.4462, Loss=0.4939
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+ - **Epoch 199**: Train 63.82%, Test 0.00%, α=0.4462, Loss=0.4870
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+ - **Epoch 200**: Train 62.61%, Test 65.83%, α=0.4462, Loss=0.4909
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  ### Training Milestones
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  - 🎯 **50% Accuracy** reached at epoch 35