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Epoch 150: 51.84%

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  1. README.md +21 -21
README.md CHANGED
@@ -25,7 +25,7 @@ model-index:
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  type: cifar100
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  metrics:
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  - type: accuracy
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- value: 50.42
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  name: Test Accuracy
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  verified: false
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  ---
@@ -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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@@ -44,28 +44,28 @@ Current Status: Epoch 100/200
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  | Metric | Value |
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  |--------|-------|
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- | **Best Test Accuracy** | **50.42%** |
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- | **Best Epoch** | 95 |
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- | **Current Train Accuracy** | 58.72% |
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- | **Current Test Accuracy** | 49.53% |
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- | **Current α (Cantor param)** | 0.4398 |
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  | **Total Parameters** | 11,952,641 |
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- | **Training Time** | 0:15:16 |
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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_185133` | 🔄 | 95 | **50.42%** | 58.72% | 0.4398 |
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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)** | **50.42%** | 🔄 Training |
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  | vit-beatrix-dualstream | 66.0% | Vision Transformer + Cross-Entropy |
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- 🎯 **Current target**: Beat vit-beatrix (66.0%) - Currently -15.58%
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  ---
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@@ -204,19 +204,19 @@ epoch_checkpoint = hf_hub_download(
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  ## Training History
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  ### Best Checkpoint
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- - Epoch: 95
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- - Train Acc: 56.55%
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- - Test Acc: 50.42%
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- - Alpha: 0.4372
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- - Loss: 1.1023
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  ### Latest 5 Epochs
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- - **Epoch 96**: Train 56.31%, Test 0.00%, α=0.4392, Loss=1.0587
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- - **Epoch 97**: Train 58.66%, Test 0.00%, α=0.4378, Loss=1.1022
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- - **Epoch 98**: Train 57.02%, Test 0.00%, α=0.4423, Loss=1.0252
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- - **Epoch 99**: Train 58.09%, Test 0.00%, α=0.4407, Loss=1.0468
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- - **Epoch 100**: Train 58.72%, Test 49.53%, α=0.4398, Loss=1.0677
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  ### Training Milestones
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  - 🎯 **50% Accuracy** reached at epoch 95
 
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  type: cifar100
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  metrics:
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  - type: accuracy
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+ value: 51.91
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  name: Test Accuracy
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  verified: false
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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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  | Metric | Value |
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  |--------|-------|
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+ | **Best Test Accuracy** | **51.91%** |
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+ | **Best Epoch** | 140 |
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+ | **Current Train Accuracy** | 64.34% |
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+ | **Current Test Accuracy** | 51.84% |
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+ | **Current α (Cantor param)** | 0.4450 |
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  | **Total Parameters** | 11,952,641 |
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+ | **Training Time** | 0:23:05 |
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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_185133` | 🔄 | 140 | **51.91%** | 64.34% | 0.4450 |
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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)** | **51.91%** | 🔄 Training |
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  | vit-beatrix-dualstream | 66.0% | Vision Transformer + Cross-Entropy |
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+ 🎯 **Current target**: Beat vit-beatrix (66.0%) - Currently -14.09%
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  ---
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  ## Training History
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  ### Best Checkpoint
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+ - Epoch: 140
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+ - Train Acc: 65.59%
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+ - Test Acc: 51.91%
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+ - Alpha: 0.4444
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+ - Loss: 0.8350
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  ### Latest 5 Epochs
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+ - **Epoch 146**: Train 66.88%, Test 0.00%, α=0.4448, Loss=0.8195
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+ - **Epoch 147**: Train 67.98%, Test 0.00%, α=0.4451, Loss=0.8429
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+ - **Epoch 148**: Train 68.48%, Test 0.00%, α=0.4468, Loss=0.7858
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+ - **Epoch 149**: Train 66.43%, Test 0.00%, α=0.4455, Loss=0.7942
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+ - **Epoch 150**: Train 64.34%, Test 51.84%, α=0.4450, Loss=0.7643
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  ### Training Milestones
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  - 🎯 **50% Accuracy** reached at epoch 95