efficientnet_convnext_tiny_custom_v2/training_history.txt

Training History
================================================================================

Epoch 1:
  Train Loss: 0.782064
  Train Accuracy: 0.796889
  Val Accuracy: 0.914889
  Learning Rate: 0.00010000
  Epoch Time: 37.31s

Epoch 2:
  Train Loss: 0.207995
  Train Accuracy: 0.940963
  Val Accuracy: 0.941111
  Learning Rate: 0.00010000
  Epoch Time: 33.06s

Epoch 3:
  Train Loss: 0.117121
  Train Accuracy: 0.966963
  Val Accuracy: 0.949778
  Learning Rate: 0.00010000
  Epoch Time: 33.10s

Epoch 4:
  Train Loss: 0.072624
  Train Accuracy: 0.981481
  Val Accuracy: 0.950444
  Learning Rate: 0.00010000
  Epoch Time: 33.08s

Epoch 5:
  Train Loss: 0.057926
  Train Accuracy: 0.984148
  Val Accuracy: 0.949333
  Learning Rate: 0.00010000
  Epoch Time: 33.11s

Epoch 6:
  Train Loss: 0.047323
  Train Accuracy: 0.987630
  Val Accuracy: 0.952444
  Learning Rate: 0.00010000
  Epoch Time: 33.07s

Epoch 7:
  Train Loss: 0.042567
  Train Accuracy: 0.987630
  Val Accuracy: 0.955333
  Learning Rate: 0.00010000
  Epoch Time: 33.12s

Epoch 8:
  Train Loss: 0.036085
  Train Accuracy: 0.990074
  Val Accuracy: 0.956444
  Learning Rate: 0.00010000
  Epoch Time: 33.10s

Epoch 9:
  Train Loss: 0.030210
  Train Accuracy: 0.991556
  Val Accuracy: 0.953111
  Learning Rate: 0.00010000
  Epoch Time: 33.11s

Epoch 10:
  Train Loss: 0.033506
  Train Accuracy: 0.990593
  Val Accuracy: 0.956222
  Learning Rate: 0.00010000
  Epoch Time: 33.09s

Epoch 11:
  Train Loss: 0.027432
  Train Accuracy: 0.992519
  Val Accuracy: 0.957556
  Learning Rate: 0.00010000
  Epoch Time: 33.11s

Epoch 12:
  Train Loss: 0.027744
  Train Accuracy: 0.991926
  Val Accuracy: 0.956000
  Learning Rate: 0.00010000
  Epoch Time: 33.09s

Epoch 13:
  Train Loss: 0.026804
  Train Accuracy: 0.991778
  Val Accuracy: 0.959111
  Learning Rate: 0.00010000
  Epoch Time: 33.11s

Epoch 14:
  Train Loss: 0.024633
  Train Accuracy: 0.992444
  Val Accuracy: 0.958889
  Learning Rate: 0.00010000
  Epoch Time: 33.08s

Epoch 15:
  Train Loss: 0.025374
  Train Accuracy: 0.992815
  Val Accuracy: 0.959111
  Learning Rate: 0.00010000
  Epoch Time: 33.10s

Epoch 16:
  Train Loss: 0.021128
  Train Accuracy: 0.993630
  Val Accuracy: 0.957111
  Learning Rate: 0.00010000
  Epoch Time: 33.08s

Epoch 17:
  Train Loss: 0.020442
  Train Accuracy: 0.994148
  Val Accuracy: 0.962000
  Learning Rate: 0.00010000
  Epoch Time: 33.10s

Epoch 18:
  Train Loss: 0.016865
  Train Accuracy: 0.994963
  Val Accuracy: 0.959333
  Learning Rate: 0.00010000
  Epoch Time: 33.11s

Epoch 19:
  Train Loss: 0.019852
  Train Accuracy: 0.994148
  Val Accuracy: 0.958667
  Learning Rate: 0.00010000
  Epoch Time: 33.10s

Epoch 20:
  Train Loss: 0.021633
  Train Accuracy: 0.992296
  Val Accuracy: 0.958444
  Learning Rate: 0.00010000
  Epoch Time: 33.10s

Epoch 21:
  Train Loss: 0.024195
  Train Accuracy: 0.992519
  Val Accuracy: 0.959778
  Learning Rate: 0.00010000
  Epoch Time: 33.09s

Epoch 22:
  Train Loss: 0.018204
  Train Accuracy: 0.995037
  Val Accuracy: 0.959111
  Learning Rate: 0.00010000
  Epoch Time: 33.08s

Epoch 23:
  Train Loss: 0.018052
  Train Accuracy: 0.994074
  Val Accuracy: 0.957778
  Learning Rate: 0.00010000
  Epoch Time: 33.08s

Epoch 24:
  Train Loss: 0.014583
  Train Accuracy: 0.995704
  Val Accuracy: 0.960000
  Learning Rate: 0.00005000
  Epoch Time: 33.10s

Epoch 25:
  Train Loss: 0.009234
  Train Accuracy: 0.997333
  Val Accuracy: 0.959778
  Learning Rate: 0.00005000
  Epoch Time: 33.10s

Epoch 26:
  Train Loss: 0.010239
  Train Accuracy: 0.996667
  Val Accuracy: 0.958667
  Learning Rate: 0.00005000
  Epoch Time: 33.10s

Epoch 27:
  Train Loss: 0.011204
  Train Accuracy: 0.996667
  Val Accuracy: 0.960000
  Learning Rate: 0.00005000
  Epoch Time: 33.08s