Hugging Face's logo

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
1dce081
·
verified ·
1 Parent(s): 2adc254

Epoch 150: 67.08%

Browse files
Files changed (1) hide show
  1. README.md +15 -13
README.md CHANGED
@@ -36,7 +36,7 @@ model-index:
36
 
37
  🚧 **Training in Progress** 🚧
38
 
39
- Current Status: Epoch 100/200
40
 
41
  ---
42
 
@@ -46,17 +46,17 @@ Current Status: Epoch 100/200
46
  |--------|-------|
47
  | **Best Test Accuracy** | **69.08%** |
48
  | **Best Epoch** | 190 |
49
- | **Current Train Accuracy** | 74.44% |
50
- | **Current Test Accuracy** | 64.35% |
51
- | **Current α (Cantor param)** | 0.4395 |
52
  | **Total Parameters** | 198,392,937 |
53
- | **Training Time** | 0:54:05 |
54
 
55
  ### All Training Runs
56
 
57
  | Timestamp | Status | Best Epoch | Test Acc | Train Acc | α |
58
  |-----------|--------|------------|----------|-----------|---|
59
- | `20251010_100047` | 🔄 | 190 | **69.08%** | 74.44% | 0.4395 |
60
 
61
  ### Comparison to State-of-the-Art
62
 
@@ -187,22 +187,24 @@ epoch_checkpoint = hf_hub_download(
187
 
188
  ### Best Checkpoint
189
  - Epoch: 190
190
- - Train Acc: 74.44%
191
  - Test Acc: 69.08%
192
- - Alpha: 0.4395
193
  - Loss: 0.0000
194
 
195
  ### Latest 5 Epochs
196
 
197
- - **Epoch 96**: Train 74.36%, Test 0.00%, α=0.4389, Loss=0.7256
198
- - **Epoch 97**: Train 76.86%, Test 0.00%, α=0.4412, Loss=0.7426
199
- - **Epoch 98**: Train 75.64%, Test 0.00%, α=0.4385, Loss=0.7240
200
- - **Epoch 99**: Train 75.67%, Test 0.00%, α=0.4385, Loss=0.7287
201
- - **Epoch 100**: Train 74.44%, Test 64.35%, α=0.4395, Loss=0.7165
202
 
203
  ### Training Milestones
204
  - 🎯 **50% Accuracy** reached at epoch 35
205
  - 🎯 **60% Accuracy** reached at epoch 60
 
 
206
  - 📊 **α ≥ 0.40** reached at epoch 9
207
  - 📊 **α ≥ 0.44** (near triadic equilibrium) at epoch 91
208
 
 
36
 
37
  🚧 **Training in Progress** 🚧
38
 
39
+ Current Status: Epoch 150/200
40
 
41
  ---
42
 
 
46
  |--------|-------|
47
  | **Best Test Accuracy** | **69.08%** |
48
  | **Best Epoch** | 190 |
49
+ | **Current Train Accuracy** | 69.55% |
50
+ | **Current Test Accuracy** | 67.08% |
51
+ | **Current α (Cantor param)** | 0.4449 |
52
  | **Total Parameters** | 198,392,937 |
53
+ | **Training Time** | 1:21:17 |
54
 
55
  ### All Training Runs
56
 
57
  | Timestamp | Status | Best Epoch | Test Acc | Train Acc | α |
58
  |-----------|--------|------------|----------|-----------|---|
59
+ | `20251010_100047` | 🔄 | 190 | **69.08%** | 69.55% | 0.4449 |
60
 
61
  ### Comparison to State-of-the-Art
62
 
 
187
 
188
  ### Best Checkpoint
189
  - Epoch: 190
190
+ - Train Acc: 69.55%
191
  - Test Acc: 69.08%
192
+ - Alpha: 0.4449
193
  - Loss: 0.0000
194
 
195
  ### Latest 5 Epochs
196
 
197
+ - **Epoch 146**: Train 73.36%, Test 0.00%, α=0.4453, Loss=0.5553
198
+ - **Epoch 147**: Train 68.45%, Test 0.00%, α=0.4453, Loss=0.5440
199
+ - **Epoch 148**: Train 69.11%, Test 0.00%, α=0.4448, Loss=0.5374
200
+ - **Epoch 149**: Train 69.57%, Test 0.00%, α=0.4446, Loss=0.5393
201
+ - **Epoch 150**: Train 69.55%, Test 67.08%, α=0.4449, Loss=0.5372
202
 
203
  ### Training Milestones
204
  - 🎯 **50% Accuracy** reached at epoch 35
205
  - 🎯 **60% Accuracy** reached at epoch 60
206
+ - 🏆 **Beat vit-beatrix (66.0%)** at epoch 125
207
+ - 🚀 **67% Accuracy** reached at epoch 150
208
  - 📊 **α ≥ 0.40** reached at epoch 9
209
  - 📊 **α ≥ 0.44** (near triadic equilibrium) at epoch 91
210