AbstractPhil commited on
Commit
90f55f7
·
verified ·
1 Parent(s): a5bfa97

Epoch 190: 67.00%

Browse files
Files changed (1) hide show
  1. README.md +20 -19
README.md CHANGED
@@ -25,7 +25,7 @@ model-index:
25
  type: cifar100
26
  metrics:
27
  - type: accuracy
28
- value: 66.79
29
  name: Test Accuracy
30
  verified: false
31
  ---
@@ -36,7 +36,7 @@ model-index:
36
 
37
  🚧 **Training in Progress** 🚧
38
 
39
- Current Status: Epoch 180/200
40
 
41
  ---
42
 
@@ -44,19 +44,19 @@ Current Status: Epoch 180/200
44
 
45
  | Metric | Value |
46
  |--------|-------|
47
- | **Best Test Accuracy** | **66.79%** |
48
- | **Best Epoch** | 180 |
49
- | **Current Train Accuracy** | 65.58% |
50
- | **Current Test Accuracy** | 66.79% |
51
- | **Current α (Cantor param)** | 0.4424 |
52
  | **Total Parameters** | 45,161,489 |
53
- | **Training Time** | 1:02:49 |
54
 
55
  ### Comparison to State-of-the-Art
56
 
57
  | Model | Accuracy | Status |
58
  |-------|----------|--------|
59
- | **geo-beatrix (this model)** | **66.79%** | 🔄 Training |
60
  | vit-beatrix-dualstream | 66.0% | Vision Transformer + Cross-Entropy |
61
  | CLIP ViT-L/14 (zero-shot) | ~63-65% | 400M image-text pairs |
62
  | CLIP ViT-B/32 (zero-shot) | ~63.5% | Vision Transformer |
@@ -176,24 +176,25 @@ tensorboard_files = hf_hub_download(
176
  ## Training History
177
 
178
  ### Best Checkpoint
179
- - Epoch: 180
180
- - Train Acc: 65.58%
181
- - Test Acc: 66.79%
182
- - Alpha: 0.4424
183
- - Loss: 0.5093
184
 
185
  ### Latest 5 Epochs
186
 
187
- - **Epoch 176**: Train 67.03%, Test 0.00%, α=0.4431, Loss=0.5142
188
- - **Epoch 177**: Train 65.41%, Test 0.00%, α=0.4428, Loss=0.5078
189
- - **Epoch 178**: Train 61.87%, Test 0.00%, α=0.4424, Loss=0.5063
190
- - **Epoch 179**: Train 63.01%, Test 0.00%, α=0.4420, Loss=0.5004
191
- - **Epoch 180**: Train 65.58%, Test 66.79%, α=0.4424, Loss=0.5093
192
 
193
  ### Training Milestones
194
  - 🎯 **50% Accuracy** reached at epoch 45
195
  - 🎯 **60% Accuracy** reached at epoch 70
196
  - 🏆 **Beat vit-beatrix (66.0%)** at epoch 140
 
197
  - 📊 **α ≥ 0.40** reached at epoch 10
198
  - 📊 **α ≥ 0.44** (near triadic equilibrium) at epoch 116
199
 
 
25
  type: cifar100
26
  metrics:
27
  - type: accuracy
28
+ value: 67.00
29
  name: Test Accuracy
30
  verified: false
31
  ---
 
36
 
37
  🚧 **Training in Progress** 🚧
38
 
39
+ Current Status: Epoch 190/200
40
 
41
  ---
42
 
 
44
 
45
  | Metric | Value |
46
  |--------|-------|
47
+ | **Best Test Accuracy** | **67.00%** |
48
+ | **Best Epoch** | 190 |
49
+ | **Current Train Accuracy** | 61.47% |
50
+ | **Current Test Accuracy** | 67.00% |
51
+ | **Current α (Cantor param)** | 0.4425 |
52
  | **Total Parameters** | 45,161,489 |
53
+ | **Training Time** | 1:06:19 |
54
 
55
  ### Comparison to State-of-the-Art
56
 
57
  | Model | Accuracy | Status |
58
  |-------|----------|--------|
59
+ | **geo-beatrix (this model)** | **67.00%** | 🔄 Training |
60
  | vit-beatrix-dualstream | 66.0% | Vision Transformer + Cross-Entropy |
61
  | CLIP ViT-L/14 (zero-shot) | ~63-65% | 400M image-text pairs |
62
  | CLIP ViT-B/32 (zero-shot) | ~63.5% | Vision Transformer |
 
176
  ## Training History
177
 
178
  ### Best Checkpoint
179
+ - Epoch: 190
180
+ - Train Acc: 61.47%
181
+ - Test Acc: 67.00%
182
+ - Alpha: 0.4425
183
+ - Loss: 0.5031
184
 
185
  ### Latest 5 Epochs
186
 
187
+ - **Epoch 186**: Train 65.21%, Test 0.00%, α=0.4426, Loss=0.5107
188
+ - **Epoch 187**: Train 66.32%, Test 0.00%, α=0.4425, Loss=0.5147
189
+ - **Epoch 188**: Train 63.06%, Test 0.00%, α=0.4425, Loss=0.4994
190
+ - **Epoch 189**: Train 62.33%, Test 0.00%, α=0.4425, Loss=0.5007
191
+ - **Epoch 190**: Train 61.47%, Test 67.00%, α=0.4425, Loss=0.5031
192
 
193
  ### Training Milestones
194
  - 🎯 **50% Accuracy** reached at epoch 45
195
  - 🎯 **60% Accuracy** reached at epoch 70
196
  - 🏆 **Beat vit-beatrix (66.0%)** at epoch 140
197
+ - 🚀 **67% Accuracy** reached at epoch 190
198
  - 📊 **α ≥ 0.40** reached at epoch 10
199
  - 📊 **α ≥ 0.44** (near triadic equilibrium) at epoch 116
200