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AbstractPhil
/
geo-beatrix-resnet

Image Classification
PyTorch
TensorBoard
Safetensors
cifar100
geometric-learning
fractal-encoding
trained
no-attention
no-cross-entropy
Eval Results (legacy)
Model card Files
xet
Metrics Community
AbstractPhil commited on
Commit
1d9656d
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verified ·
1 Parent(s): 0c35c16

Epoch 150: 40.55%

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  1. README.md +13 -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** | 47.29% |
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- | **Current Test Accuracy** | 34.16% |
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- | **Current α (Cantor param)** | 0.5179 |
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  | **Total Parameters** | 21,846,001 |
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- | **Training Time** | 0:10:12 |
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  ### All Training Runs
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@@ -64,7 +64,7 @@ Current Status: Epoch 100/200
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  | `20251011_002858` | ✅ | 160 | **56.12%** | 46.05% | 0.4712 |
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  | `20251011_012453` | ✅ | 160 | **56.12%** | 40.18% | 0.4963 |
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  | `20251011_023128` | ✅ | 160 | **56.12%** | 54.65% | 0.5005 |
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- | `20251011_025919` | 🔄 | 160 | **56.12%** | 47.29% | 0.5179 |
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  | `20251010_200842` | ✅ | 180 | **53.61%** | 67.53% | 0.4442 |
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  | `20251010_185133` | ✅ | 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: 47.29%
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  - Test Acc: 56.12%
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- - Alpha: 0.5179
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  - Loss: 0.0000
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  ### Latest 5 Epochs
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- - **Epoch 96**: Train 46.00%, Test 0.00%, α=0.4310, Loss=1.2461
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- - **Epoch 97**: Train 46.14%, Test 0.00%, α=0.5048, Loss=1.2265
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- - **Epoch 98**: Train 48.05%, Test 0.00%, α=0.4909, Loss=1.2833
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- - **Epoch 99**: Train 46.08%, Test 0.00%, α=0.6050, Loss=1.2159
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- - **Epoch 100**: Train 47.29%, Test 34.16%, α=0.5179, Loss=1.2234
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  ### Training Milestones
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  - 📊 **α ≥ 0.40** reached at epoch 1
 
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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** | 55.37% |
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+ | **Current Test Accuracy** | 40.55% |
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+ | **Current α (Cantor param)** | 0.4966 |
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  | **Total Parameters** | 21,846,001 |
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+ | **Training Time** | 0:15:28 |
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  ### All Training Runs
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  | `20251011_002858` | ✅ | 160 | **56.12%** | 46.05% | 0.4712 |
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  | `20251011_012453` | ✅ | 160 | **56.12%** | 40.18% | 0.4963 |
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  | `20251011_023128` | ✅ | 160 | **56.12%** | 54.65% | 0.5005 |
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+ | `20251011_025919` | 🔄 | 160 | **56.12%** | 55.37% | 0.4966 |
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  | `20251010_200842` | ✅ | 180 | **53.61%** | 67.53% | 0.4442 |
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  | `20251010_185133` | ✅ | 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: 55.37%
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  - Test Acc: 56.12%
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+ - Alpha: 0.4966
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  - Loss: 0.0000
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  ### Latest 5 Epochs
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+ - **Epoch 146**: Train 54.68%, Test 0.00%, α=0.4957, Loss=0.9900
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+ - **Epoch 147**: Train 56.70%, Test 0.00%, α=0.5014, Loss=1.0192
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+ - **Epoch 148**: Train 55.56%, Test 0.00%, α=0.4939, Loss=0.9734
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+ - **Epoch 149**: Train 54.38%, Test 0.00%, α=0.4955, Loss=0.9291
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+ - **Epoch 150**: Train 55.37%, Test 40.55%, α=0.4966, Loss=0.9931
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  ### Training Milestones
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  - 📊 **α ≥ 0.40** reached at epoch 1