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full_run_results.txt
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full_run_results.txt
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Training...
Epoch 1, CIFAR-10 Batch 1: Loss 2.3027, Accuracy 0.075000:
[2.302525, 0.099799991]
Epoch 1, CIFAR-10 Batch 2: Loss 2.3016, Accuracy 0.175000:
[2.3025753, 0.099799998]
Epoch 1, CIFAR-10 Batch 3: Loss 2.3021, Accuracy 0.150000:
[2.3025918, 0.099799998]
Epoch 1, CIFAR-10 Batch 4: Loss 2.3027, Accuracy 0.075000:
[2.3025873, 0.099799991]
Epoch 1, CIFAR-10 Batch 5: Loss 2.3026, Accuracy 0.125000:
[2.3025851, 0.097799987]
Epoch 2, CIFAR-10 Batch 1: Loss 2.3026, Accuracy 0.100000:
[2.3025851, 0.097799987]
Epoch 2, CIFAR-10 Batch 2: Loss 2.3026, Accuracy 0.050000:
[2.3025851, 0.097800002]
Epoch 2, CIFAR-10 Batch 3: Loss 2.3026, Accuracy 0.075000:
[2.3025851, 0.097799987]
Epoch 2, CIFAR-10 Batch 4: Loss 2.3026, Accuracy 0.100000:
[2.3025851, 0.097799987]
Epoch 2, CIFAR-10 Batch 5: Loss 2.3026, Accuracy 0.125000:
[2.3025851, 0.097799987]
Epoch 3, CIFAR-10 Batch 1: Loss 2.3026, Accuracy 0.100000:
[2.3025851, 0.097800002]
Epoch 3, CIFAR-10 Batch 2: Loss 2.3026, Accuracy 0.050000:
[2.3025851, 0.097799994]
Epoch 3, CIFAR-10 Batch 3: Loss 2.3026, Accuracy 0.075000:
[2.3025851, 0.097799987]
Epoch 3, CIFAR-10 Batch 4: Loss 2.3026, Accuracy 0.100000:
[2.3025851, 0.097799987]
Epoch 3, CIFAR-10 Batch 5: Loss 2.3026, Accuracy 0.125000:
[2.3025851, 0.097799987]
Epoch 4, CIFAR-10 Batch 1: Loss 2.3026, Accuracy 0.100000:
[2.3025851, 0.097799987]
Epoch 4, CIFAR-10 Batch 2: Loss 2.3026, Accuracy 0.050000:
[2.3025851, 0.097800002]
Epoch 4, CIFAR-10 Batch 3: Loss 2.3026, Accuracy 0.075000:
[2.3025851, 0.097799987]
Epoch 4, CIFAR-10 Batch 4: Loss 2.3026, Accuracy 0.100000:
[2.3025851, 0.097799987]
Epoch 4, CIFAR-10 Batch 5: Loss 2.3026, Accuracy 0.125000:
[2.3025851, 0.097799987]
Epoch 5, CIFAR-10 Batch 1: Loss 2.3026, Accuracy 0.100000:
[2.3025851, 0.097799994]
Epoch 5, CIFAR-10 Batch 2: Loss 2.3026, Accuracy 0.050000:
[2.3025851, 0.097800002]
Epoch 5, CIFAR-10 Batch 3: Loss 2.3026, Accuracy 0.075000:
[2.3025851, 0.097799987]
Epoch 5, CIFAR-10 Batch 4: Loss 2.3026, Accuracy 0.100000:
[2.3025851, 0.097799994]
Epoch 5, CIFAR-10 Batch 5: Loss 2.3026, Accuracy 0.125000:
[2.3025851, 0.097799987]
Epoch 6, CIFAR-10 Batch 1: Loss 2.3026, Accuracy 0.100000:
[2.3025851, 0.097800002]
Epoch 6, CIFAR-10 Batch 2: Loss 2.3026, Accuracy 0.050000:
[2.3025851, 0.097799987]
Epoch 6, CIFAR-10 Batch 3: Loss 2.3026, Accuracy 0.075000:
[2.3025851, 0.097799994]
Epoch 6, CIFAR-10 Batch 4: Loss 2.3026, Accuracy 0.100000:
[2.3025854, 0.097799987]
Epoch 6, CIFAR-10 Batch 5: Loss 2.3026, Accuracy 0.125000:
[2.3025851, 0.097799987]
Epoch 7, CIFAR-10 Batch 1: Loss 2.3026, Accuracy 0.100000:
[2.3025851, 0.097799987]
Epoch 7, CIFAR-10 Batch 2: Loss 2.3026, Accuracy 0.050000:
[2.3025851, 0.097799987]
Epoch 7, CIFAR-10 Batch 3: Loss 2.3026, Accuracy 0.075000:
[2.3025851, 0.097799994]
Epoch 7, CIFAR-10 Batch 4: Loss 2.3026, Accuracy 0.100000:
[2.3025851, 0.097799987]
Epoch 7, CIFAR-10 Batch 5: Loss 2.3026, Accuracy 0.125000:
[2.3025851, 0.097799987]
Epoch 8, CIFAR-10 Batch 1: Loss 2.3026, Accuracy 0.100000:
[2.3025851, 0.097799987]
Epoch 8, CIFAR-10 Batch 2: Loss 2.3026, Accuracy 0.050000:
[2.3025851, 0.097799987]
Epoch 8, CIFAR-10 Batch 3: Loss 2.3026, Accuracy 0.075000:
[2.3025854, 0.097799994]
Epoch 8, CIFAR-10 Batch 4: Loss 2.3026, Accuracy 0.100000:
[2.3025851, 0.097799987]
Epoch 8, CIFAR-10 Batch 5: Loss 2.3026, Accuracy 0.125000:
[2.3025851, 0.097800002]
Epoch 9, CIFAR-10 Batch 1: Loss 2.3026, Accuracy 0.100000:
[2.3025851, 0.097799987]
Epoch 9, CIFAR-10 Batch 2: Loss 2.3026, Accuracy 0.050000:
[2.3025851, 0.097799987]
Epoch 9, CIFAR-10 Batch 3: Loss 2.3026, Accuracy 0.075000:
[2.3025851, 0.097800002]
Epoch 9, CIFAR-10 Batch 4: Loss 2.3026, Accuracy 0.100000:
[2.3025851, 0.097799987]
Epoch 9, CIFAR-10 Batch 5: Loss 2.3026, Accuracy 0.125000:
[2.3025851, 0.097799994]
Epoch 10, CIFAR-10 Batch 1: Loss 2.3026, Accuracy 0.100000:
[2.3025851, 0.097799987]
Epoch 10, CIFAR-10 Batch 2: Loss 2.3026, Accuracy 0.050000:
[2.3025851, 0.097799994]
Epoch 10, CIFAR-10 Batch 3: Loss 2.3026, Accuracy 0.075000:
[2.3025851, 0.097800002]
Epoch 10, CIFAR-10 Batch 4: Loss 2.3026, Accuracy 0.100000:
[2.3025851, 0.097800002]
Epoch 10, CIFAR-10 Batch 5: Loss 2.3026, Accuracy 0.125000:
[2.3025851, 0.097799987]
Epoch 11, CIFAR-10 Batch 1: Loss 2.3026, Accuracy 0.100000:
[2.3025851, 0.097799987]
Epoch 11, CIFAR-10 Batch 2: Loss 2.3026, Accuracy 0.050000:
[2.3025851, 0.097800002]
Epoch 11, CIFAR-10 Batch 3: Loss 2.3026, Accuracy 0.075000:
[2.3025851, 0.097800002]
Epoch 11, CIFAR-10 Batch 4: Loss 2.3026, Accuracy 0.100000:
[2.3025851, 0.097800002]
Epoch 11, CIFAR-10 Batch 5: Loss 2.3026, Accuracy 0.125000:
[2.3025851, 0.097799994]
Epoch 12, CIFAR-10 Batch 1: Loss 2.3026, Accuracy 0.100000:
[2.3025851, 0.097799987]
Epoch 12, CIFAR-10 Batch 2: Loss 2.3026, Accuracy 0.050000:
[2.3025851, 0.097799987]
Epoch 12, CIFAR-10 Batch 3: Loss 2.3026, Accuracy 0.075000:
[2.3025851, 0.097799987]
Epoch 12, CIFAR-10 Batch 4: Loss 2.3026, Accuracy 0.100000:
[2.3025851, 0.097800002]
Epoch 12, CIFAR-10 Batch 5: Loss 2.3026, Accuracy 0.125000:
[2.3025851, 0.097799987]
Epoch 13, CIFAR-10 Batch 1: Loss 2.3026, Accuracy 0.100000:
[2.3025851, 0.097800002]
Epoch 13, CIFAR-10 Batch 2: Loss 2.3026, Accuracy 0.050000:
[2.3025851, 0.097799987]
Epoch 13, CIFAR-10 Batch 3: Loss 2.3026, Accuracy 0.075000:
[2.3025851, 0.097800002]
Epoch 13, CIFAR-10 Batch 4: Loss 2.3026, Accuracy 0.100000:
[2.3025851, 0.097799987]
Epoch 13, CIFAR-10 Batch 5: Loss 2.3026, Accuracy 0.125000:
[2.3025851, 0.097799987]
Epoch 14, CIFAR-10 Batch 1: Loss 2.3026, Accuracy 0.100000:
[2.3025854, 0.097799987]
Epoch 14, CIFAR-10 Batch 2: Loss 2.3026, Accuracy 0.050000:
[2.3025851, 0.097800002]
Epoch 14, CIFAR-10 Batch 3: Loss 2.3026, Accuracy 0.075000:
[2.3025851, 0.097799994]
Epoch 14, CIFAR-10 Batch 4: Loss 2.3026, Accuracy 0.100000:
[2.3025851, 0.097800002]
Epoch 14, CIFAR-10 Batch 5: Loss 2.3026, Accuracy 0.125000:
[2.3025851, 0.097799987]
Epoch 15, CIFAR-10 Batch 1: Loss 2.3026, Accuracy 0.100000:
[2.3025851, 0.097799987]
Epoch 15, CIFAR-10 Batch 2: Loss 2.3026, Accuracy 0.050000:
[2.3025851, 0.097799994]
Epoch 15, CIFAR-10 Batch 3: Loss 2.3026, Accuracy 0.075000:
[2.3025851, 0.097799987]
Epoch 15, CIFAR-10 Batch 4: Loss 2.3026, Accuracy 0.100000:
[2.3025851, 0.097799987]
Epoch 15, CIFAR-10 Batch 5: Loss 2.3026, Accuracy 0.125000:
[2.3025854, 0.097799987]
Epoch 16, CIFAR-10 Batch 1: Loss 2.3026, Accuracy 0.100000:
[2.3025851, 0.097799994]
Epoch 16, CIFAR-10 Batch 2: Loss 2.3026, Accuracy 0.050000:
[2.3025851, 0.097800002]
Epoch 16, CIFAR-10 Batch 3: Loss 2.3026, Accuracy 0.075000:
[2.3025851, 0.097800002]
Epoch 16, CIFAR-10 Batch 4: Loss 2.3026, Accuracy 0.100000:
[2.3025851, 0.097800002]
Epoch 16, CIFAR-10 Batch 5: Loss 2.3026, Accuracy 0.125000:
[2.3025851, 0.097800002]
Epoch 17, CIFAR-10 Batch 1: Loss 2.3026, Accuracy 0.100000:
[2.3025851, 0.097799994]
Epoch 17, CIFAR-10 Batch 2: Loss 2.3026, Accuracy 0.050000:
[2.3025851, 0.097799987]
Epoch 17, CIFAR-10 Batch 3: Loss 2.3026, Accuracy 0.075000:
[2.3025851, 0.097799987]
Epoch 17, CIFAR-10 Batch 4: Loss 2.3026, Accuracy 0.100000:
[2.3025851, 0.097799987]
Epoch 17, CIFAR-10 Batch 5: Loss 2.3026, Accuracy 0.125000:
[2.3025851, 0.097799994]
Epoch 18, CIFAR-10 Batch 1: Loss 2.3026, Accuracy 0.100000:
[2.3025851, 0.097799987]
Epoch 18, CIFAR-10 Batch 2: Loss 2.3026, Accuracy 0.050000:
[2.3025851, 0.097800002]
Epoch 18, CIFAR-10 Batch 3: Loss 2.3026, Accuracy 0.075000:
[2.3025851, 0.097799994]
Epoch 18, CIFAR-10 Batch 4: Loss 2.3026, Accuracy 0.100000:
[2.3025851, 0.097799987]
Epoch 18, CIFAR-10 Batch 5: Loss 2.3026, Accuracy 0.125000:
[2.3025851, 0.097799987]
Epoch 19, CIFAR-10 Batch 1: Loss 2.3026, Accuracy 0.100000:
[2.3025851, 0.097799987]
Epoch 19, CIFAR-10 Batch 2: Loss 2.3026, Accuracy 0.050000:
[2.3025851, 0.097799994]
Epoch 19, CIFAR-10 Batch 3: Loss 2.3026, Accuracy 0.075000:
[2.3025851, 0.097799987]
Epoch 19, CIFAR-10 Batch 4: Loss 2.3026, Accuracy 0.100000:
[2.3025851, 0.097799987]
Epoch 19, CIFAR-10 Batch 5: Loss 2.3026, Accuracy 0.125000:
[2.3025851, 0.097799987]
Epoch 20, CIFAR-10 Batch 1: Loss 2.3026, Accuracy 0.100000:
[2.3025851, 0.097799987]
Epoch 20, CIFAR-10 Batch 2: Loss 2.3026, Accuracy 0.050000:
[2.3025851, 0.097799987]
Epoch 20, CIFAR-10 Batch 3: Loss 2.3026, Accuracy 0.075000:
[2.3025854, 0.097799987]
Epoch 20, CIFAR-10 Batch 4: Loss 2.3026, Accuracy 0.100000:
[2.3025851, 0.097800002]
Epoch 20, CIFAR-10 Batch 5: Loss 2.3026, Accuracy 0.125000:
[2.3025851, 0.097799987]
Epoch 21, CIFAR-10 Batch 1: Loss 2.3026, Accuracy 0.100000:
[2.3025851, 0.097799987]
Epoch 21, CIFAR-10 Batch 2: Loss 2.3026, Accuracy 0.050000:
[2.3025851, 0.097799994]
Epoch 21, CIFAR-10 Batch 3: Loss 2.3026, Accuracy 0.075000:
[2.3025851, 0.097799987]
Epoch 21, CIFAR-10 Batch 4: Loss 2.3026, Accuracy 0.100000:
[2.3025851, 0.097799987]
Epoch 21, CIFAR-10 Batch 5: Loss 2.3026, Accuracy 0.125000:
[2.3025851, 0.097799987]
Epoch 22, CIFAR-10 Batch 1: Loss 2.3026, Accuracy 0.100000:
[2.3025851, 0.097799994]
Epoch 22, CIFAR-10 Batch 2: Loss 2.3026, Accuracy 0.050000:
[2.3025851, 0.097799987]
Epoch 22, CIFAR-10 Batch 3: Loss 2.3026, Accuracy 0.075000:
[2.3025851, 0.097800002]
Epoch 22, CIFAR-10 Batch 4: Loss 2.3026, Accuracy 0.100000:
[2.3025851, 0.097800002]
Epoch 22, CIFAR-10 Batch 5: Loss 2.3026, Accuracy 0.125000:
[2.3025851, 0.097799994]
Epoch 23, CIFAR-10 Batch 1: Loss 2.3026, Accuracy 0.100000:
[2.3025851, 0.097799987]
Epoch 23, CIFAR-10 Batch 2: Loss 2.3026, Accuracy 0.050000:
[2.3025851, 0.097799994]
Epoch 23, CIFAR-10 Batch 3: Loss 2.3026, Accuracy 0.075000:
[2.3025851, 0.097799987]
Epoch 23, CIFAR-10 Batch 4: Loss 2.3026, Accuracy 0.100000:
[2.3025851, 0.097800002]
Epoch 23, CIFAR-10 Batch 5: Loss 2.3026, Accuracy 0.125000:
[2.3025851, 0.097800002]
Epoch 24, CIFAR-10 Batch 1: Loss 2.3026, Accuracy 0.100000:
[2.3025851, 0.097799994]
Epoch 24, CIFAR-10 Batch 2: Loss 2.3026, Accuracy 0.050000:
[2.3025851, 0.097799987]
Epoch 24, CIFAR-10 Batch 3: Loss 2.3026, Accuracy 0.075000:
[2.3025851, 0.097799987]
Epoch 24, CIFAR-10 Batch 4: Loss 2.3026, Accuracy 0.100000:
[2.3025851, 0.097800002]
Epoch 24, CIFAR-10 Batch 5: Loss 2.3026, Accuracy 0.125000:
[2.3025851, 0.097800002]
Epoch 25, CIFAR-10 Batch 1: Loss 2.3026, Accuracy 0.100000:
[2.3025851, 0.097800002]
Epoch 25, CIFAR-10 Batch 2: Loss 2.3026, Accuracy 0.050000:
[2.3025851, 0.097799987]
Epoch 25, CIFAR-10 Batch 3: Loss 2.3026, Accuracy 0.075000:
[2.3025851, 0.097799987]
Epoch 25, CIFAR-10 Batch 4: Loss 2.3026, Accuracy 0.100000:
[2.3025851, 0.097800002]
Epoch 25, CIFAR-10 Batch 5: Loss 2.3026, Accuracy 0.125000:
[2.3025851, 0.097800002]