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AbstractPhil
/
geo-beatrix

Image Classification
PyTorch
TensorBoard
Safetensors
cifar100
geometric-learning
fractal-encoding
in-training
no-attention
no-cross-entropy
Eval Results (legacy)
Model card Files
xet
Metrics Community
AbstractPhil commited on
Commit
4d66d52
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verified ·
1 Parent(s): 41e5824

Epoch 100: 64.35%

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  1. README.md +15 -13
README.md CHANGED
@@ -36,7 +36,7 @@ model-index:
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  🚧 **Training in Progress** 🚧
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- Current Status: Epoch 50/200
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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** | 60.98% |
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- | **Current Test Accuracy** | 57.85% |
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- | **Current α (Cantor param)** | 0.4221 |
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  | **Total Parameters** | 198,392,937 |
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- | **Training Time** | 0:27:32 |
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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_050315` | 🔄 | 190 | **69.08%** | 60.98% | 0.4221 |
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  ### Comparison to State-of-the-Art
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  ### Best Checkpoint
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  - Epoch: 190
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- - Train Acc: 60.98%
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  - Test Acc: 69.08%
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- - Alpha: 0.4221
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  - Loss: 0.0000
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  ### Latest 5 Epochs
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- - **Epoch 46**: Train 58.53%, Test 0.00%, α=0.4213, Loss=1.1866
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- - **Epoch 47**: Train 59.44%, Test 0.00%, α=0.4198, Loss=1.1786
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- - **Epoch 48**: Train 59.59%, Test 0.00%, α=0.4260, Loss=1.1447
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- - **Epoch 49**: Train 61.00%, Test 0.00%, α=0.4198, Loss=1.1706
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- - **Epoch 50**: Train 60.98%, Test 57.85%, α=0.4221, Loss=1.1295
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  ### Training Milestones
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  - 🎯 **50% Accuracy** reached at epoch 35
 
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  - 📊 **α ≥ 0.40** reached at epoch 9
 
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  ---
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  🚧 **Training in Progress** 🚧
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+ Current Status: Epoch 100/200
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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** | 72.01% |
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+ | **Current Test Accuracy** | 64.35% |
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+ | **Current α (Cantor param)** | 0.4377 |
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  | **Total Parameters** | 198,392,937 |
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+ | **Training Time** | 0:56:36 |
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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_050315` | 🔄 | 190 | **69.08%** | 72.01% | 0.4377 |
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  ### Comparison to State-of-the-Art
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  ### Best Checkpoint
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  - Epoch: 190
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+ - Train Acc: 72.01%
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  - Test Acc: 69.08%
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+ - Alpha: 0.4377
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  - Loss: 0.0000
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  ### Latest 5 Epochs
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+ - **Epoch 96**: Train 74.60%, Test 0.00%, α=0.4397, Loss=0.7321
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+ - **Epoch 97**: Train 72.20%, Test 0.00%, α=0.4383, Loss=0.7152
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+ - **Epoch 98**: Train 73.36%, Test 0.00%, α=0.4374, Loss=0.7278
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+ - **Epoch 99**: Train 75.21%, Test 0.00%, α=0.4399, Loss=0.7168
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+ - **Epoch 100**: Train 72.01%, Test 64.35%, α=0.4377, Loss=0.6921
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  ### Training Milestones
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  - 🎯 **50% Accuracy** reached at epoch 35
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+ - 🎯 **60% Accuracy** reached at epoch 65
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  - 📊 **α ≥ 0.40** reached at epoch 9
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+ - 📊 **α ≥ 0.44** (near triadic equilibrium) at epoch 94
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