From 0fe7603b6e0cb48160cc94e4a01b5f351b3c964a Mon Sep 17 00:00:00 2001 From: Jeff Heiges Date: Wed, 5 Mar 2025 17:01:38 -0700 Subject: Training results mentioned in article https://jgh.xyz/posts/mnist_compare/ --- training_results/env1/MaxPool/FashionMNIST | 29 +++++++++++++++++++++++++++++ training_results/env1/MaxPool/MNIST | 29 +++++++++++++++++++++++++++++ 2 files changed, 58 insertions(+) create mode 100644 training_results/env1/MaxPool/FashionMNIST create mode 100644 training_results/env1/MaxPool/MNIST (limited to 'training_results/env1/MaxPool') diff --git a/training_results/env1/MaxPool/FashionMNIST b/training_results/env1/MaxPool/FashionMNIST new file mode 100644 index 0000000..53f6193 --- /dev/null +++ b/training_results/env1/MaxPool/FashionMNIST @@ -0,0 +1,29 @@ +FashionMNIST: Epoch 1 - Avg Loss: 2.310656, Accuracy: 9.90% +Test Set - Loss: 0.0023, Accuracy: 10.00% + +FashionMNIST: Epoch 2 - Avg Loss: 2.306694, Accuracy: 10.16% +Test Set - Loss: 0.0023, Accuracy: 10.00% + +FashionMNIST: Epoch 3 - Avg Loss: 1.923101, Accuracy: 28.77% +Test Set - Loss: 0.0013, Accuracy: 51.27% + +FashionMNIST: Epoch 4 - Avg Loss: 1.102855, Accuracy: 56.44% +Test Set - Loss: 0.0010, Accuracy: 61.11% + +FashionMNIST: Epoch 5 - Avg Loss: 0.901078, Accuracy: 65.37% +Test Set - Loss: 0.0008, Accuracy: 69.59% + +FashionMNIST: Epoch 6 - Avg Loss: 0.749000, Accuracy: 72.32% +Test Set - Loss: 0.0007, Accuracy: 74.29% + +FashionMNIST: Epoch 7 - Avg Loss: 0.652000, Accuracy: 75.16% +Test Set - Loss: 0.0006, Accuracy: 75.61% + +FashionMNIST: Epoch 8 - Avg Loss: 0.595909, Accuracy: 76.72% +Test Set - Loss: 0.0006, Accuracy: 76.69% + +FashionMNIST: Epoch 9 - Avg Loss: 0.557655, Accuracy: 78.12% +Test Set - Loss: 0.0006, Accuracy: 78.31% + +FashionMNIST: Epoch 10 - Avg Loss: 0.528804, Accuracy: 79.27% +Test Set - Loss: 0.0005, Accuracy: 79.37% diff --git a/training_results/env1/MaxPool/MNIST b/training_results/env1/MaxPool/MNIST new file mode 100644 index 0000000..02957a9 --- /dev/null +++ b/training_results/env1/MaxPool/MNIST @@ -0,0 +1,29 @@ +MNIST: Epoch 1 - Avg Loss: 2.308749, Accuracy: 10.40% +Test Set - Loss: 0.0023, Accuracy: 10.09% + +MNIST: Epoch 2 - Avg Loss: 2.305803, Accuracy: 10.54% +Test Set - Loss: 0.0023, Accuracy: 9.80% + +MNIST: Epoch 3 - Avg Loss: 2.305379, Accuracy: 10.61% +Test Set - Loss: 0.0023, Accuracy: 10.28% + +MNIST: Epoch 4 - Avg Loss: 2.303191, Accuracy: 11.06% +Test Set - Loss: 0.0023, Accuracy: 9.82% + +MNIST: Epoch 5 - Avg Loss: 2.299156, Accuracy: 11.53% +Test Set - Loss: 0.0023, Accuracy: 14.30% + +MNIST: Epoch 6 - Avg Loss: 2.022232, Accuracy: 30.36% +Test Set - Loss: 0.0013, Accuracy: 54.77% + +MNIST: Epoch 7 - Avg Loss: 0.855694, Accuracy: 72.13% +Test Set - Loss: 0.0006, Accuracy: 81.76% + +MNIST: Epoch 8 - Avg Loss: 0.483181, Accuracy: 85.77% +Test Set - Loss: 0.0004, Accuracy: 90.08% + +MNIST: Epoch 9 - Avg Loss: 0.301197, Accuracy: 91.52% +Test Set - Loss: 0.0002, Accuracy: 93.41% + +MNIST: Epoch 10 - Avg Loss: 0.217239, Accuracy: 93.91% +Test Set - Loss: 0.0002, Accuracy: 94.57% -- cgit v1.2.3