adding logs

.gitignore

@@ -51,7 +51,6 @@ checkpoints/
 # Logs and databases
 *.log
 *.sqlite
-logs/
 wandb/
 
 # Distribution / packaging

logs/training_log_20250104_064115.md

@@ -0,0 +1,43 @@
+# Training Log
+
+| Epoch | Train Loss | Train Acc | Test Acc | Best Acc |
+|-------|------------|-----------|-----------|----------|
+|     1 | 2.078 | 22.42% | 28.65% | 0.00% |
+**New best accuracy achieved at epoch 1**
+
+|     2 | 1.844 | 30.82% | 34.80% | 28.65% |
+**New best accuracy achieved at epoch 2**
+
+|     3 | 1.753 | 35.66% | 35.75% | 34.80% |
+**New best accuracy achieved at epoch 3**
+
+|     4 | 1.672 | 38.45% | 38.50% | 35.75% |
+**New best accuracy achieved at epoch 4**
+
+|     5 | 1.595 | 41.44% | 44.05% | 38.50% |
+**New best accuracy achieved at epoch 5**
+
+|     6 | 1.544 | 43.58% | 45.05% | 44.05% |
+**New best accuracy achieved at epoch 6**
+
+|     7 | 1.449 | 47.02% | 50.65% | 45.05% |
+**New best accuracy achieved at epoch 7**
+
+|     8 | 1.384 | 50.38% | 45.20% | 50.65% |
+|     9 | 1.311 | 52.81% | 57.35% | 50.65% |
+**New best accuracy achieved at epoch 9**
+
+|    10 | 1.239 | 56.14% | 56.15% | 57.35% |
+|    11 | 1.169 | 58.69% | 54.90% | 57.35% |
+|    12 | 1.127 | 60.36% | 59.95% | 57.35% |
+**New best accuracy achieved at epoch 12**
+
+|    13 | 1.057 | 63.00% | 60.20% | 59.95% |
+**New best accuracy achieved at epoch 13**
+
+|    14 | 1.007 | 65.00% | 64.60% | 60.20% |
+**New best accuracy achieved at epoch 14**
+
+|    15 | 0.980 | 65.84% | 65.35% | 64.60% |
+**New best accuracy achieved at epoch 15**
+

logs/training_log_20250104_071323.md

@@ -0,0 +1,60 @@
+# Training Log
+
+| Epoch | Train Loss | Train Acc | Test Acc | Best Acc |
+|-------|------------|-----------|-----------|----------|
+|     1 | 2.101 | 21.95% | 29.35% | 0.00% |
+**New best accuracy achieved at epoch 1**
+
+|     2 | 1.875 | 30.13% | 34.70% | 29.35% |
+**New best accuracy achieved at epoch 2**
+
+|     3 | 1.778 | 34.90% | 34.60% | 34.70% |
+|     4 | 1.714 | 36.99% | 40.80% | 34.70% |
+**New best accuracy achieved at epoch 4**
+
+|     5 | 1.646 | 40.05% | 40.15% | 40.80% |
+|     6 | 1.587 | 42.39% | 43.00% | 40.80% |
+**New best accuracy achieved at epoch 6**
+
+|     7 | 1.513 | 45.59% | 47.30% | 43.00% |
+**New best accuracy achieved at epoch 7**
+
+|     8 | 1.436 | 48.44% | 51.85% | 47.30% |
+**New best accuracy achieved at epoch 8**
+
+|     9 | 1.347 | 51.07% | 53.50% | 51.85% |
+**New best accuracy achieved at epoch 9**
+
+|    10 | 1.294 | 53.89% | 55.95% | 53.50% |
+**New best accuracy achieved at epoch 10**
+
+|    11 | 1.220 | 56.07% | 55.75% | 55.95% |
+|    12 | 1.173 | 58.45% | 56.25% | 55.95% |
+**New best accuracy achieved at epoch 12**
+
+|    13 | 1.125 | 60.20% | 59.00% | 56.25% |
+**New best accuracy achieved at epoch 13**
+
+|    14 | 1.042 | 63.76% | 60.40% | 59.00% |
+**New best accuracy achieved at epoch 14**
+
+|    15 | 0.997 | 65.18% | 62.35% | 60.40% |
+**New best accuracy achieved at epoch 15**
+
+|    16 | 0.955 | 66.08% | 66.00% | 62.35% |
+**New best accuracy achieved at epoch 16**
+
+|    17 | 0.908 | 68.75% | 68.30% | 66.00% |
+**New best accuracy achieved at epoch 17**
+
+|    18 | 0.881 | 69.69% | 67.45% | 68.30% |
+|    19 | 0.844 | 70.84% | 73.30% | 68.30% |
+**New best accuracy achieved at epoch 19**
+
+
+**Training stopped at epoch 19 after reaching target accuracy of 70%**
+
+## Training Summary
+- Final Test Accuracy: 73.30%
+- Best Test Accuracy: 73.30%
+- Total Epochs: 19