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AbstractPhil
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geo-beatrix-resnet

Image Classification
PyTorch
TensorBoard
Safetensors
cifar100
geometric-learning
fractal-encoding
trained
no-attention
no-cross-entropy
Eval Results
Model card Files
xet
Metrics Community
AbstractPhil commited on
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1 Parent(s): 3820d40

Epoch 150: 51.43%

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  1. README.md +14 -13
README.md CHANGED
@@ -36,7 +36,7 @@ model-index:
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  🚧 **Training in Progress** 🚧
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- Current Status: Epoch 100/200
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  ---
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@@ -46,11 +46,11 @@ Current Status: Epoch 100/200
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  |--------|-------|
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  | **Best Test Accuracy** | **56.12%** |
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  | **Best Epoch** | 160 |
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- | **Current Train Accuracy** | 51.54% |
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- | **Current Test Accuracy** | 48.52% |
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- | **Current Ξ± (Cantor param)** | 0.4184 |
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  | **Total Parameters** | 28,561,101 |
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- | **Training Time** | 0:13:34 |
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  ### All Training Runs
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@@ -67,7 +67,7 @@ Current Status: Epoch 100/200
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  | `20251011_025919` | βœ… | 160 | **56.12%** | 57.80% | 0.4994 |
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  | `20251011_032343` | βœ… | 160 | **56.12%** | 53.80% | 0.4377 |
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  | `20251011_034748` | βœ… | 160 | **56.12%** | 65.10% | 0.4326 |
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- | `20251011_041716` | πŸ”„ | 160 | **56.12%** | 51.54% | 0.4184 |
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  | `20251010_200842` | βœ… | 180 | **53.61%** | 67.53% | 0.4442 |
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  | `20251010_185133` | βœ… | 200 | **52.97%** | 69.87% | 0.4452 |
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  ### Best Checkpoint
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  - Epoch: 160
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- - Train Acc: 51.54%
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  - Test Acc: 56.12%
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- - Alpha: 0.4184
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  - Loss: 0.0000
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  ### Latest 5 Epochs
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- - **Epoch 96**: Train 50.84%, Test 0.00%, Ξ±=0.4198, Loss=1.0819
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- - **Epoch 97**: Train 51.62%, Test 0.00%, Ξ±=0.4180, Loss=1.0569
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- - **Epoch 98**: Train 51.97%, Test 0.00%, Ξ±=0.4185, Loss=1.1259
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- - **Epoch 99**: Train 52.61%, Test 0.00%, Ξ±=0.4225, Loss=1.1575
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- - **Epoch 100**: Train 51.54%, Test 48.52%, Ξ±=0.4184, Loss=1.0351
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  ### Training Milestones
 
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  - πŸ“Š **Ξ± β‰₯ 0.40** reached at epoch 17
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  ---
 
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  🚧 **Training in Progress** 🚧
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+ Current Status: Epoch 150/200
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  ---
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  |--------|-------|
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  | **Best Test Accuracy** | **56.12%** |
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  | **Best Epoch** | 160 |
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+ | **Current Train Accuracy** | 58.62% |
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+ | **Current Test Accuracy** | 51.43% |
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+ | **Current Ξ± (Cantor param)** | 0.4142 |
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  | **Total Parameters** | 28,561,101 |
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+ | **Training Time** | 0:20:28 |
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  ### All Training Runs
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  | `20251011_025919` | βœ… | 160 | **56.12%** | 57.80% | 0.4994 |
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  | `20251011_032343` | βœ… | 160 | **56.12%** | 53.80% | 0.4377 |
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  | `20251011_034748` | βœ… | 160 | **56.12%** | 65.10% | 0.4326 |
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+ | `20251011_041716` | πŸ”„ | 160 | **56.12%** | 58.62% | 0.4142 |
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  | `20251010_200842` | βœ… | 180 | **53.61%** | 67.53% | 0.4442 |
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  | `20251010_185133` | βœ… | 200 | **52.97%** | 69.87% | 0.4452 |
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  ### Best Checkpoint
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  - Epoch: 160
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+ - Train Acc: 58.62%
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  - Test Acc: 56.12%
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+ - Alpha: 0.4142
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  - Loss: 0.0000
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  ### Latest 5 Epochs
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+ - **Epoch 146**: Train 57.43%, Test 0.00%, Ξ±=0.4149, Loss=0.7838
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+ - **Epoch 147**: Train 59.67%, Test 0.00%, Ξ±=0.4168, Loss=0.8981
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+ - **Epoch 148**: Train 58.83%, Test 0.00%, Ξ±=0.4135, Loss=0.7631
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+ - **Epoch 149**: Train 59.77%, Test 0.00%, Ξ±=0.4151, Loss=0.8283
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+ - **Epoch 150**: Train 58.62%, Test 51.43%, Ξ±=0.4142, Loss=0.8086
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  ### Training Milestones
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+ - 🎯 **50% Accuracy** reached at epoch 120
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  - πŸ“Š **Ξ± β‰₯ 0.40** reached at epoch 17
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