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| -rw-r--r-- | training_results/env1/Adagrad_lr001/MNIST (renamed from training_results/env1/Adagrad_tr001/MNIST) | 0 | ||||
| -rw-r--r-- | training_results/env1/Adagrad_lr01/MNIST (renamed from training_results/env1/Adagrad_tr01/MNIST) | 0 | ||||
| -rw-r--r-- | training_results/env1/Adam_lr001/FashionMNIST (renamed from training_results/env1/Adam_tr001/FashionMNIST) | 0 | ||||
| -rw-r--r-- | training_results/env1/Adam_lr001/MNIST (renamed from training_results/env1/Adam_tr001/MNIST) | 0 | ||||
| -rw-r--r-- | training_results/env1/Adam_lr01/MNIST (renamed from training_results/env1/Adam_tr01/MNIST) | 0 | ||||
| -rw-r--r-- | training_results/env1/NAdam_lr001/MNIST (renamed from training_results/env1/NAdam_tr001/MNIST) | 0 | ||||
| -rw-r--r-- | training_results/env1/NAdam_lr002/MNIST (renamed from training_results/env1/NAdam_tr002/MNIST) | 0 | ||||
| -rw-r--r-- | training_results/env1/ReLU_and_MaxPool_lr001/FashionMNIST (renamed from training_results/env1/ReLU_and_MaxPool_tr001/FashionMNIST) | 0 | ||||
| -rw-r--r-- | training_results/env1/ReLU_and_MaxPool_lr01/FashionMNIST (renamed from training_results/env1/ReLU_and_MaxPool_tr01/FashionMNIST) | 0 | ||||
| -rw-r--r-- | training_results/env1/ReLU_and_MaxPool_lr01/MNIST (renamed from training_results/env1/ReLU_and_MaxPool_tr01/MNIST) | 0 | ||||
| -rw-r--r-- | training_results/env1/ReLU_lr001/FashionMNIST (renamed from training_results/env1/ReLU_tr001/FashionMNIST) | 0 | ||||
| -rw-r--r-- | training_results/env1/ReLU_lr001/MNIST (renamed from training_results/env1/ReLU_tr001/MNIST) | 0 | ||||
| -rw-r--r-- | training_results/env1/ReLU_lr01/FashionMNIST (renamed from training_results/env1/ReLU_tr01/FashionMNIST) | 0 | ||||
| -rw-r--r-- | training_results/env1/ReLU_lr01/MNIST (renamed from training_results/env1/ReLU_tr01/MNIST) | 0 | ||||
| -rw-r--r-- | training_results/env2/Adam/MNIST | 79 |
15 files changed, 79 insertions, 0 deletions
diff --git a/training_results/env1/Adagrad_tr001/MNIST b/training_results/env1/Adagrad_lr001/MNIST index 83ec7df..83ec7df 100644 --- a/training_results/env1/Adagrad_tr001/MNIST +++ b/training_results/env1/Adagrad_lr001/MNIST diff --git a/training_results/env1/Adagrad_tr01/MNIST b/training_results/env1/Adagrad_lr01/MNIST index e55185d..e55185d 100644 --- a/training_results/env1/Adagrad_tr01/MNIST +++ b/training_results/env1/Adagrad_lr01/MNIST diff --git a/training_results/env1/Adam_tr001/FashionMNIST b/training_results/env1/Adam_lr001/FashionMNIST index f6312b0..f6312b0 100644 --- a/training_results/env1/Adam_tr001/FashionMNIST +++ b/training_results/env1/Adam_lr001/FashionMNIST diff --git a/training_results/env1/Adam_tr001/MNIST b/training_results/env1/Adam_lr001/MNIST index e69de29..e69de29 100644 --- a/training_results/env1/Adam_tr001/MNIST +++ b/training_results/env1/Adam_lr001/MNIST diff --git a/training_results/env1/Adam_tr01/MNIST b/training_results/env1/Adam_lr01/MNIST index 6789adc..6789adc 100644 --- a/training_results/env1/Adam_tr01/MNIST +++ b/training_results/env1/Adam_lr01/MNIST diff --git a/training_results/env1/NAdam_tr001/MNIST b/training_results/env1/NAdam_lr001/MNIST index 2e2f4b4..2e2f4b4 100644 --- a/training_results/env1/NAdam_tr001/MNIST +++ b/training_results/env1/NAdam_lr001/MNIST diff --git a/training_results/env1/NAdam_tr002/MNIST b/training_results/env1/NAdam_lr002/MNIST index fd203c8..fd203c8 100644 --- a/training_results/env1/NAdam_tr002/MNIST +++ b/training_results/env1/NAdam_lr002/MNIST diff --git a/training_results/env1/ReLU_and_MaxPool_tr001/FashionMNIST b/training_results/env1/ReLU_and_MaxPool_lr001/FashionMNIST index c4faabb..c4faabb 100644 --- a/training_results/env1/ReLU_and_MaxPool_tr001/FashionMNIST +++ b/training_results/env1/ReLU_and_MaxPool_lr001/FashionMNIST diff --git a/training_results/env1/ReLU_and_MaxPool_tr01/FashionMNIST b/training_results/env1/ReLU_and_MaxPool_lr01/FashionMNIST index da34bb9..da34bb9 100644 --- a/training_results/env1/ReLU_and_MaxPool_tr01/FashionMNIST +++ b/training_results/env1/ReLU_and_MaxPool_lr01/FashionMNIST diff --git a/training_results/env1/ReLU_and_MaxPool_tr01/MNIST b/training_results/env1/ReLU_and_MaxPool_lr01/MNIST index bff64dd..bff64dd 100644 --- a/training_results/env1/ReLU_and_MaxPool_tr01/MNIST +++ b/training_results/env1/ReLU_and_MaxPool_lr01/MNIST diff --git a/training_results/env1/ReLU_tr001/FashionMNIST b/training_results/env1/ReLU_lr001/FashionMNIST index f64566a..f64566a 100644 --- a/training_results/env1/ReLU_tr001/FashionMNIST +++ b/training_results/env1/ReLU_lr001/FashionMNIST diff --git a/training_results/env1/ReLU_tr001/MNIST b/training_results/env1/ReLU_lr001/MNIST index fa0b906..fa0b906 100644 --- a/training_results/env1/ReLU_tr001/MNIST +++ b/training_results/env1/ReLU_lr001/MNIST diff --git a/training_results/env1/ReLU_tr01/FashionMNIST b/training_results/env1/ReLU_lr01/FashionMNIST index da02243..da02243 100644 --- a/training_results/env1/ReLU_tr01/FashionMNIST +++ b/training_results/env1/ReLU_lr01/FashionMNIST diff --git a/training_results/env1/ReLU_tr01/MNIST b/training_results/env1/ReLU_lr01/MNIST index f586eff..f586eff 100644 --- a/training_results/env1/ReLU_tr01/MNIST +++ b/training_results/env1/ReLU_lr01/MNIST diff --git a/training_results/env2/Adam/MNIST b/training_results/env2/Adam/MNIST new file mode 100644 index 0000000..f4b58cd --- /dev/null +++ b/training_results/env2/Adam/MNIST @@ -0,0 +1,79 @@ +Epoch 1 [12800/60000] Loss: 0.136665 +Epoch 1 [25600/60000] Loss: 0.162167 +Epoch 1 [38400/60000] Loss: 0.060944 +Epoch 1 [51200/60000] Loss: 0.117724 +Epoch 1 - Avg Loss: 0.169864, Accuracy: 96.01% + +Test Set - Loss: 0.0001, Accuracy: 98.44% + +Epoch 2 [12800/60000] Loss: 0.092171 +Epoch 2 [25600/60000] Loss: 0.021338 +Epoch 2 [38400/60000] Loss: 0.094518 +Epoch 2 [51200/60000] Loss: 0.074454 +Epoch 2 - Avg Loss: 0.043798, Accuracy: 99.03% + +Test Set - Loss: 0.0000, Accuracy: 98.82% + +Epoch 3 [12800/60000] Loss: 0.088897 +Epoch 3 [25600/60000] Loss: 0.015518 +Epoch 3 [38400/60000] Loss: 0.030410 +Epoch 3 [51200/60000] Loss: 0.076697 +Epoch 3 - Avg Loss: 0.030009, Accuracy: 99.36% + +Test Set - Loss: 0.0000, Accuracy: 98.93% + +Epoch 4 [12800/60000] Loss: 0.008431 +Epoch 4 [25600/60000] Loss: 0.002401 +Epoch 4 [38400/60000] Loss: 0.014520 +Epoch 4 [51200/60000] Loss: 0.025814 +Epoch 4 - Avg Loss: 0.024399, Accuracy: 99.44% + +Test Set - Loss: 0.0000, Accuracy: 99.08% + +Epoch 5 [12800/60000] Loss: 0.000815 +Epoch 5 [25600/60000] Loss: 0.008576 +Epoch 5 [38400/60000] Loss: 0.003800 +Epoch 5 [51200/60000] Loss: 0.013346 +Epoch 5 - Avg Loss: 0.019088, Accuracy: 99.62% + +Test Set - Loss: 0.0000, Accuracy: 98.96% + +Epoch 6 [12800/60000] Loss: 0.038003 +Epoch 6 [25600/60000] Loss: 0.010052 +Epoch 6 [38400/60000] Loss: 0.004194 +Epoch 6 [51200/60000] Loss: 0.001696 +Epoch 6 - Avg Loss: 0.014721, Accuracy: 99.73% + +Test Set - Loss: 0.0000, Accuracy: 99.13% + +Epoch 7 [12800/60000] Loss: 0.007727 +Epoch 7 [25600/60000] Loss: 0.047644 +Epoch 7 [38400/60000] Loss: 0.000464 +Epoch 7 [51200/60000] Loss: 0.000607 +Epoch 7 - Avg Loss: 0.013894, Accuracy: 99.75% + +Test Set - Loss: 0.0000, Accuracy: 99.11% + +Epoch 8 [12800/60000] Loss: 0.001249 +Epoch 8 [25600/60000] Loss: 0.015864 +Epoch 8 [38400/60000] Loss: 0.012518 +Epoch 8 [51200/60000] Loss: 0.001050 +Epoch 8 - Avg Loss: 0.011323, Accuracy: 99.78% + +Test Set - Loss: 0.0000, Accuracy: 99.04% + +Epoch 9 [12800/60000] Loss: 0.000285 +Epoch 9 [25600/60000] Loss: 0.002247 +Epoch 9 [38400/60000] Loss: 0.001523 +Epoch 9 [51200/60000] Loss: 0.030761 +Epoch 9 - Avg Loss: 0.010586, Accuracy: 99.82% + +Test Set - Loss: 0.0000, Accuracy: 99.11% + +Epoch 10 [12800/60000] Loss: 0.000368 +Epoch 10 [25600/60000] Loss: 0.002828 +Epoch 10 [38400/60000] Loss: 0.006644 +Epoch 10 [51200/60000] Loss: 0.000153 +Epoch 10 - Avg Loss: 0.007253, Accuracy: 99.90% + +Test Set - Loss: 0.0000, Accuracy: 99.08% |