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Epoch 200: 60.81%

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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** | 71.83% |
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- | **Current Test Accuracy** | 59.96% |
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- | **Current α (Cantor param)** | 0.4324 |
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  | **Total Parameters** | 45,356,337 |
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- | **Training Time** | 0:35:50 |
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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_154433` | 🔄 | 190 | **69.08%** | 71.83% | 0.4324 |
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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: 71.83%
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- - Test Acc: 69.08%
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- - Alpha: 0.4324
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- - Loss: 0.0000
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  ### Latest 5 Epochs
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- - **Epoch 146**: Train 71.36%, Test 0.00%, α=0.4308, Loss=1.0774
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- - **Epoch 147**: Train 71.65%, Test 0.00%, α=0.4306, Loss=1.0852
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- - **Epoch 148**: Train 70.18%, Test 0.00%, α=0.4314, Loss=1.0718
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- - **Epoch 149**: Train 73.46%, Test 0.00%, α=0.4308, Loss=1.1045
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- - **Epoch 150**: Train 71.83%, Test 59.96%, α=0.4324, Loss=1.0946
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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
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  - no-attention
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  - no-cross-entropy
11
  datasets:
 
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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** | 68.80% |
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+ | **Current Test Accuracy** | 60.81% |
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+ | **Current α (Cantor param)** | 0.4320 |
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  | **Total Parameters** | 45,356,337 |
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+ | **Training Time** | 0:48:08 |
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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_154433` | | 190 | **69.08%** | 68.80% | 0.4320 |
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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: 64.35%
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+ - Test Acc: 60.00%
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+ - Alpha: 0.4318
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+ - Loss: 0.9990
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  ### Latest 5 Epochs
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+ - **Epoch 196**: Train 64.06%, Test 0.00%, α=0.4320, Loss=0.9867
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+ - **Epoch 197**: Train 67.90%, Test 0.00%, α=0.4320, Loss=1.0384
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+ - **Epoch 198**: Train 64.27%, Test 0.00%, α=0.4320, Loss=0.9999
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+ - **Epoch 199**: Train 65.64%, Test 0.00%, α=0.4320, Loss=1.0067
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+ - **Epoch 200**: Train 68.80%, Test 60.81%, α=0.4320, Loss=1.0461
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  ### Training Milestones
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  - 🎯 **50% Accuracy** reached at epoch 35