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/RMSprop/FashionMNIST | 29 +++++++++++++++++++++++++++++ training_results/env1/RMSprop/MNIST | 29 +++++++++++++++++++++++++++++ 2 files changed, 58 insertions(+) create mode 100644 training_results/env1/RMSprop/FashionMNIST create mode 100644 training_results/env1/RMSprop/MNIST (limited to 'training_results/env1/RMSprop') diff --git a/training_results/env1/RMSprop/FashionMNIST b/training_results/env1/RMSprop/FashionMNIST new file mode 100644 index 0000000..94b6e32 --- /dev/null +++ b/training_results/env1/RMSprop/FashionMNIST @@ -0,0 +1,29 @@ +FashionMNIST: Epoch 1 - Avg Loss: 0.483021, Accuracy: 81.86% +Test Set - Loss: 0.0004, Accuracy: 85.42% + +FashionMNIST: Epoch 2 - Avg Loss: 0.328693, Accuracy: 87.83% +Test Set - Loss: 0.0004, Accuracy: 86.56% + +FashionMNIST: Epoch 3 - Avg Loss: 0.288847, Accuracy: 89.19% +Test Set - Loss: 0.0004, Accuracy: 86.17% + +FashionMNIST: Epoch 4 - Avg Loss: 0.262283, Accuracy: 90.11% +Test Set - Loss: 0.0003, Accuracy: 88.62% + +FashionMNIST: Epoch 5 - Avg Loss: 0.241942, Accuracy: 90.88% +Test Set - Loss: 0.0003, Accuracy: 87.52% + +FashionMNIST: Epoch 6 - Avg Loss: 0.225610, Accuracy: 91.41% +Test Set - Loss: 0.0003, Accuracy: 89.48% + +FashionMNIST: Epoch 7 - Avg Loss: 0.212741, Accuracy: 91.96% +Test Set - Loss: 0.0003, Accuracy: 88.51% + +FashionMNIST: Epoch 8 - Avg Loss: 0.199747, Accuracy: 92.45% +Test Set - Loss: 0.0003, Accuracy: 90.03% + +FashionMNIST: Epoch 9 - Avg Loss: 0.187908, Accuracy: 92.92% +Test Set - Loss: 0.0003, Accuracy: 90.64% + +FashionMNIST: Epoch 10 - Avg Loss: 0.176108, Accuracy: 93.35% +Test Set - Loss: 0.0003, Accuracy: 90.07% diff --git a/training_results/env1/RMSprop/MNIST b/training_results/env1/RMSprop/MNIST new file mode 100644 index 0000000..3ef00bd --- /dev/null +++ b/training_results/env1/RMSprop/MNIST @@ -0,0 +1,29 @@ +MNIST: Epoch 1 - Avg Loss: 0.159837, Accuracy: 95.03% +Test Set - Loss: 0.0001, Accuracy: 98.05% + +MNIST: Epoch 2 - Avg Loss: 0.054199, Accuracy: 98.31% +Test Set - Loss: 0.0001, Accuracy: 97.98% + +MNIST: Epoch 3 - Avg Loss: 0.039864, Accuracy: 98.76% +Test Set - Loss: 0.0000, Accuracy: 98.59% + +MNIST: Epoch 4 - Avg Loss: 0.031893, Accuracy: 99.03% +Test Set - Loss: 0.0000, Accuracy: 98.92% + +MNIST: Epoch 5 - Avg Loss: 0.024922, Accuracy: 99.23% +Test Set - Loss: 0.0000, Accuracy: 98.89% + +MNIST: Epoch 6 - Avg Loss: 0.021135, Accuracy: 99.36% +Test Set - Loss: 0.0000, Accuracy: 98.55% + +MNIST: Epoch 7 - Avg Loss: 0.018125, Accuracy: 99.39% +Test Set - Loss: 0.0000, Accuracy: 98.69% + +MNIST: Epoch 8 - Avg Loss: 0.015667, Accuracy: 99.50% +Test Set - Loss: 0.0000, Accuracy: 98.95% + +MNIST: Epoch 9 - Avg Loss: 0.013015, Accuracy: 99.58% +Test Set - Loss: 0.0000, Accuracy: 98.95% + +MNIST: Epoch 10 - Avg Loss: 0.011990, Accuracy: 99.60% +Test Set - Loss: 0.0001, Accuracy: 98.01% -- cgit v1.2.3