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00000000..fd8dbecd Binary files /dev/null and b/lab5/code/loss-lr0.001-bs1-hl2-w128-Adam.png differ diff --git a/lab5/code/loss-lr0.001-bs64-hl0-w128-Adam.png b/lab5/code/loss-lr0.001-bs64-hl0-w128-Adam.png new file mode 100644 index 00000000..44df845e Binary files /dev/null and b/lab5/code/loss-lr0.001-bs64-hl0-w128-Adam.png differ diff --git a/lab5/code/main.py b/lab5/code/main.py index 574cf207..95acefb2 100644 --- a/lab5/code/main.py +++ b/lab5/code/main.py @@ -266,7 +266,14 @@ if __name__ == "__main__": NUM_HIDDEN_LAYERS = 2 WIDTH = 128 OPTIMIZER_TYPE = 'Adam' - + print("0/2") + main_part(True) + print("1/2") + BATCH_SIZE = 64 + NUM_HIDDEN_LAYERS = 0 + main_part(True) + print("2/2") + """ learning_rate_values = [0.1, 0.01, 0.001] i = 0 MAX_TESTS = 17 @@ -306,3 +313,4 @@ if __name__ == "__main__": main_part(False) i += 1 print(f"Test {i}/{MAX_TESTS} ran") + """ diff --git a/lab5/code/results.txt b/lab5/code/results.txt new file mode 100644 index 00000000..c286d695 --- /dev/null +++ b/lab5/code/results.txt @@ -0,0 +1,8 @@ +------------------------------------------------------------------------------------- +loss-lr0.001-bs1-hl2-w128-Adam +Execution time: 567.2734835147858 +------------------------------------------------------------------------------------- +------------------------------------------------------------------------------------- +loss-lr0.001-bs64-hl0-w128-Adam +Execution time: 44.529624700546265 +------------------------------------------------------------------------------------- diff --git a/lab5/code/trainAccuracy-lr0.001-bs1-hl2-w128-Adam.png b/lab5/code/trainAccuracy-lr0.001-bs1-hl2-w128-Adam.png new file mode 100644 index 00000000..a65eccb3 Binary files /dev/null and b/lab5/code/trainAccuracy-lr0.001-bs1-hl2-w128-Adam.png differ diff --git a/lab5/code/trainAccuracy-lr0.001-bs64-hl0-w128-Adam.png b/lab5/code/trainAccuracy-lr0.001-bs64-hl0-w128-Adam.png new file mode 100644 index 00000000..aa51ee44 Binary files /dev/null and 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100644 --- a/lab5/report/EARIN_LAB_5_RUDNICKI_KLISZKO.tex +++ b/lab5/report/EARIN_LAB_5_RUDNICKI_KLISZKO.tex @@ -5,7 +5,7 @@ \usepackage{tabularx} \usepackage{float} \usepackage{subfig} -\usepackage[a4paper, total={6in, 8in}]{geometry} +\usepackage[a4paper, left=1cm, right=1cm]{geometry} \title{EARIN Lab 5 Report} \author{Krzysztof Rudnicki, 307585 \\ Jakub Kliszko, 303866 } @@ -13,9 +13,413 @@ \begin{document} - \maketitle -\section{Introduction} +\section{Exercise Variant 2} +Use \href{https://pytorch.org/vision/stable/generated/torchvision.datasets.MNIST.html#torchvision.datasets.MNIST}{MIST} dataset. Evaluate at least 3 different numbers/values/types of: +\begin{itemize} + \item learning rate + \item mini-batch size (including batch containing only 1 example) + \item number of hidden layers (including 0 hidden layers - linear model) + \item width (number of neurons in hidden layers) + \item optimizer type (e.g., SGD, SGD with momentum, Adam) +\end{itemize} + +\section{Implementation} +Program can be ran by installing python, moving to project directory and issuing command: +\begin{lstlisting}[language=bash] +python main.py +\end{lstlisting} +Results will be displayed on three 2d scatter plots. \\ +Plots Title is filled with parameters used abbreviated for space sake \\ +Abbreviatons meaning: +\begin{itemize} + \item lr - Learning Rate + \item bs - Batch Size + \item hl - Number of Hidden Layers + \item w - Width + \item Adam or SGD or SGD\_Momentum - Optimizer type +\end{itemize} +Plot types: +\begin{itemize} + \item Loss value for learning step + \item Train Accuracy for epoch + \item Validation Accuracy for epoch +\end{itemize} + +\begin{figure}[H] + \caption{Exemplary plot of loss for learning Step \\ lr0.001-bs64-hl1-w128-Adam } + \includegraphics[width=\textwidth]{testsResults/loss/def.png} + \centering + \end{figure} +\begin{figure}[H] + \caption{Exemplary plot of Validation Accuracy for epoch \\ lr0.001-bs64-hl1-w128-Adam } + \includegraphics[width=\textwidth]{testsResults/validationAccuracy/validationAccuracy-lr0.001-bs64-hl2-w64-Adam.png} + \centering + \end{figure} +\begin{figure}[H] +\caption{Exemplary plot of Train Accuracy for epoch \\ lr0.001-bs64-hl1-w128-Adam } +\includegraphics[width=\textwidth]{testsResults/trainAccuracy/trainAccuracy-lr0.001-bs64-hl2-w64-Adam.png} +\centering +\end{figure} +Results will be displayed and saved in the same folder as code directory for further inspection, with file name containing information about input parameters \\ +Additionaly speed it took for neural network to run will be saved to results.txt along with what parameters were used \\ +We decided to run 19 tests in total: +\begin{enumerate} + \item learning rate [0.1, 0.01, 0.001] (3 tests) + \item mini-batch size [1, 64, 128, 256] (4 tests) + \item number of hidden layers [0, 1, 2, 3] (4 tests) + \item width [64, 128, 256, 512, 1024] (5 tests) + \item optimizer type [SGD, SGD\_Momentum, Adam] (3 tests) +\end{enumerate} +\section{Results} +We have successfully implemented network analyzing MNIST dataset \\ +\subsection{Loss Graphs} + +\subsubsection{Learning Rate} + + \begin{figure}[H] + \minipage{0.5\textwidth} + \includegraphics[width=\linewidth]{testsResults/loss/lr/def.png} + \caption{Default settings + learning rate = 0.001} + \endminipage\hfill + \minipage{0.5\textwidth} + \includegraphics[width=\linewidth]{testsResults/loss/lr/loss-lr0.01-bs64-hl2-w128-Adam.png} + \caption{Default settings + learning rate = 0.01} + \endminipage + \end{figure} + \begin{figure}[H] + \minipage{0.5\textwidth}% + \includegraphics[width=\linewidth]{testsResults/loss/lr/def.png} + \caption{Default settings + learning rate = 0.1} + \endminipage + \end{figure} + +\subsubsection{Mini-Batch size} + + \begin{figure}[H] + \minipage{0.5\textwidth} + \includegraphics[width=\linewidth]{testsResults/loss/bs/def.png} + \caption{Default settings + batching size = 64} + \endminipage\hfill + \minipage{0.5\textwidth} + \includegraphics[width=\linewidth]{testsResults/loss/bs/loss-1batch.png} + \caption{Default settings + batching size = 1} + \endminipage + \end{figure} + \begin{figure}[H] + \minipage{0.5\textwidth}% + \includegraphics[width=\linewidth]{testsResults/loss/bs/loss-lr0.001-bs128-hl2-w128-Adam.png} + \caption{Default settings + batching size = 128} + \endminipage + \minipage{0.5\textwidth}% + \includegraphics[width=\linewidth]{testsResults/loss/bs/loss-lr0.001-bs256-hl2-w128-Adam.png} + \caption{Default settings + batching size = 256} + \endminipage + \end{figure} + +\subsubsection{Number of Hidden Layers} + + \begin{figure}[H] + \minipage{0.5\textwidth} + \includegraphics[width=\linewidth]{testsResults/loss/hl/hl0loss.png} + \caption{Default settings + hidden layers = 0} + \endminipage\hfill + \minipage{0.5\textwidth} + \includegraphics[width=\linewidth]{testsResults/loss/hl/loss-lr0.001-bs64-hl1-w128-Adam.png} + \caption{Default settings + hidden layers = 1} + \endminipage + \end{figure} + \begin{figure}[H] + \minipage{0.5\textwidth}% + \includegraphics[width=\linewidth]{testsResults/loss/hl/def.png} + \caption{Default settings + hidden layers = 2} + \endminipage + \minipage{0.5\textwidth}% + \includegraphics[width=\linewidth]{testsResults/loss/hl/loss-lr0.001-bs64-hl3-w128-Adam.png} + \caption{Default settings + hidden layers = 3} + \endminipage + \end{figure} + \newpage +\subsubsection{Width} + + \begin{figure}[H] + \minipage{0.5\textwidth} + \includegraphics[width=\linewidth]{testsResults/loss/w/def.png} + \caption{Default settings + width = 128} + \endminipage\hfill + \minipage{0.5\textwidth} + \includegraphics[width=\linewidth]{testsResults/loss/w/loss-lr0.001-bs64-hl2-w64-Adam.png} + \caption{Default settings + width = 64} + \endminipage + \end{figure} + \begin{figure}[H] + \minipage{0.5\textwidth}% + \includegraphics[width=\linewidth]{testsResults/loss/w/loss-lr0.001-bs64-hl2-w256-Adam.png} + \caption{Default settings + width = 256} + \endminipage + \minipage{0.5\textwidth}% + \includegraphics[width=\linewidth]{testsResults/loss/w/loss-lr0.001-bs64-hl2-w512-Adam.png} + \caption{Default settings + width = 512} + \endminipage + \end{figure} + \begin{figure}[H] + \minipage{0.5\textwidth}% + \includegraphics[width=\linewidth]{testsResults/loss/w/loss-lr0.001-bs64-hl2-w1024-Adam.png} + \caption{Default settings + width = 1024} + \endminipage + \end{figure} + +\subsubsection{Optimizer Type} + + \begin{figure}[H] + \minipage{0.5\textwidth} + \includegraphics[width=\linewidth]{testsResults/loss/optimizer/def.png} + \caption{Default settings + Adam optimizer} + \endminipage\hfill + \minipage{0.5\textwidth} + \includegraphics[width=\linewidth]{testsResults/loss/optimizer/loss-lr0.001-bs64-hl2-w128-SGD.png} + \caption{Default settings + learning rate = 0.01} + \endminipage + \end{figure} + \begin{figure}[H] + \minipage{0.5\textwidth}% + \includegraphics[width=\linewidth]{testsResults/loss/optimizer/loss-lr0.001-bs64-hl2-w128-SGD_Momentum.png} + \caption{Default settings + SGD\_Momentum optimizer} + \endminipage + \end{figure} + +\subsection{Train Accuracy Graphs} + +\subsubsection{Learning Rate} + + \begin{figure}[H] + \minipage{0.5\textwidth} + \includegraphics[width=\linewidth]{testsResults/trainAccuracy/def.png} + \caption{Default settings + learning rate = 0.001} + \endminipage\hfill + \minipage{0.5\textwidth} + \includegraphics[width=\linewidth]{testsResults/trainAccuracy/trainAccuracy-lr0.01-bs64-hl2-w128-Adam.png} + \caption{Default settings + learning rate = 0.01} + \endminipage + \end{figure} + \begin{figure}[H] + \minipage{0.5\textwidth}% + \includegraphics[width=\linewidth]{testsResults/trainAccuracy/trainAccuracy-lr0.1-bs64-hl2-w128-Adam.png} + \caption{Default settings + learning rate = 0.1} + \endminipage + \end{figure} + +\subsubsection{Mini-Batch size} + + \begin{figure}[H] + \minipage{0.5\textwidth} + \includegraphics[width=\linewidth]{testsResults/trainAccuracy/def.png} + \caption{Default settings + batching size = 64} + \endminipage\hfill + \minipage{0.5\textwidth} + \includegraphics[width=\linewidth]{testsResults/trainAccuracy/trainAccuracy1batch.png} + \caption{Default settings + batching size = 1} + \endminipage + \end{figure} + \begin{figure}[H] + \minipage{0.5\textwidth}% + \includegraphics[width=\linewidth]{testsResults/trainAccuracy/trainAccuracy-lr0.001-bs128-hl2-w128-Adam.png} + \caption{Default settings + batching size = 128} + \endminipage + \minipage{0.5\textwidth}% + \includegraphics[width=\linewidth]{testsResults/trainAccuracy/trainAccuracy-lr0.001-bs256-hl2-w128-Adam.png} + \caption{Default settings + batching size = 256} + \endminipage + \end{figure} + +\subsubsection{Number of Hidden Layers} + + \begin{figure}[H] + \minipage{0.5\textwidth} + \includegraphics[width=\linewidth]{testsResults/trainAccuracy/trainAccuracy-lr0.001-bs64-hl0-w128-Adam.png} + \caption{Default settings + hidden layers = 0} + \endminipage\hfill + \minipage{0.5\textwidth} + \includegraphics[width=\linewidth]{testsResults/trainAccuracy/trainAccuracy-lr0.001-bs64-hl1-w128-Adam.png} + \caption{Default settings + hidden layers = 1} + \endminipage + \end{figure} + \begin{figure}[H] + \minipage{0.5\textwidth}% + \includegraphics[width=\linewidth]{testsResults/trainAccuracy/def.png} + \caption{Default settings + hidden layers = 2} + \endminipage + \minipage{0.5\textwidth}% + \includegraphics[width=\linewidth]{testsResults/trainAccuracy/trainAccuracy-lr0.001-bs64-hl3-w128-Adam.png} + \caption{Default settings + hidden layers = 3} + \endminipage + \end{figure} + + \newpage +\subsubsection{Width} + + \begin{figure}[H] + \minipage{0.5\textwidth} + \includegraphics[width=\linewidth]{testsResults/trainAccuracy/def.png} + \caption{Default settings + width = 128} + \endminipage\hfill + \minipage{0.5\textwidth} + \includegraphics[width=\linewidth]{testsResults/trainAccuracy/trainAccuracy-lr0.001-bs64-hl2-w64-Adam.png} + \caption{Default settings + width = 64} + \endminipage + \end{figure} + \begin{figure}[H] + \minipage{0.5\textwidth}% + \includegraphics[width=\linewidth]{testsResults/trainAccuracy/trainAccuracy-lr0.001-bs64-hl2-w256-Adam.png} + \caption{Default settings + width = 256} + \endminipage + \minipage{0.5\textwidth}% + \includegraphics[width=\linewidth]{testsResults/trainAccuracy/trainAccuracy-lr0.001-bs64-hl2-w512-Adam.png} + \caption{Default settings + width = 512} + \endminipage + \end{figure} + \begin{figure}[H] + \minipage{0.5\textwidth}% + \includegraphics[width=\linewidth]{testsResults/trainAccuracy/trainAccuracy-lr0.001-bs64-hl2-w1024-Adam.png} + \caption{Default settings + width = 1024} + \endminipage + \end{figure} + +\subsubsection{Optimizer Type} + + \begin{figure}[H] + \minipage{0.5\textwidth} + \includegraphics[width=\linewidth]{testsResults/trainAccuracy/def.png} + \caption{Default settings + Adam optimizer} + \endminipage\hfill + \minipage{0.5\textwidth} + \includegraphics[width=\linewidth]{testsResults/trainAccuracy/trainAccuracy-lr0.001-bs64-hl2-w128-SGD.png} + \caption{Default settings + learning rate = 0.01} + \endminipage + \end{figure} + \begin{figure}[H] + \minipage{0.5\textwidth}% + \includegraphics[width=\linewidth]{testsResults/trainAccuracy/trainAccuracy-lr0.001-bs64-hl2-w128-SGD_Momentum.png} + \caption{Default settings + SGD\_Momentum optimizer} + \endminipage + \end{figure} + +\subsection{Validation Accuracy Graphs} + + +\subsubsection{Learning Rate} + + \begin{figure}[H] + \minipage{0.5\textwidth} + \includegraphics[width=\linewidth]{testsResults/validationAccuracy/def.png} + \caption{Default settings + learning rate = 0.001} + \endminipage\hfill + \minipage{0.5\textwidth} + \includegraphics[width=\linewidth]{testsResults/validationAccuracy/validationAccuracy-lr0.01-bs64-hl2-w128-Adam.png} + \caption{Default settings + learning rate = 0.01} + \endminipage + \end{figure} + \begin{figure}[H] + \minipage{0.5\textwidth}% + \includegraphics[width=\linewidth]{testsResults/validationAccuracy/def.png} + \caption{Default settings + learning rate = 0.1} + \endminipage + \end{figure} + +\subsubsection{Mini-Batch size} + + \begin{figure}[H] + \minipage{0.5\textwidth} + \includegraphics[width=\linewidth]{testsResults/validationAccuracy/def.png} + \caption{Default settings + batching size = 64} + \endminipage\hfill + \minipage{0.5\textwidth} + \includegraphics[width=\linewidth]{testsResults/validationAccuracy/validationAccuracy1batch.png} + \caption{Default settings + batching size = 1} + \endminipage + \end{figure} + \begin{figure}[H] + \minipage{0.5\textwidth}% + \includegraphics[width=\linewidth]{testsResults/validationAccuracy/validationAccuracy-lr0.001-bs128-hl2-w128-Adam.png} + \caption{Default settings + batching size = 128} + \endminipage + \minipage{0.5\textwidth}% + \includegraphics[width=\linewidth]{testsResults/validationAccuracy/validationAccuracy-lr0.001-bs256-hl2-w128-Adam.png} + \caption{Default settings + batching size = 256} + \endminipage + \end{figure} + +\subsubsection{Number of Hidden Layers} + + \begin{figure}[H] + \minipage{0.5\textwidth} + \includegraphics[width=\linewidth]{testsResults/validationAccuracy/validationAccuracyhl0.png} + \caption{Default settings + hidden layers = 0} + \endminipage\hfill + \minipage{0.5\textwidth} + \includegraphics[width=\linewidth]{testsResults/validationAccuracy/validationAccuracy-lr0.001-bs64-hl1-w128-Adam.png} + \caption{Default settings + hidden layers = 1} + \endminipage + \end{figure} + \begin{figure}[H] + \minipage{0.5\textwidth}% + \includegraphics[width=\linewidth]{testsResults/validationAccuracy/def.png} + \caption{Default settings + hidden layers = 2} + \endminipage + \minipage{0.5\textwidth}% + \includegraphics[width=\linewidth]{testsResults/validationAccuracy/validationAccuracy-lr0.001-bs64-hl3-w128-Adam.png} + \caption{Default settings + hidden layers = 3} + \endminipage + \end{figure} + \newpage +\subsubsection{Width} + + \begin{figure}[H] + \minipage{0.5\textwidth} + \includegraphics[width=\linewidth]{testsResults/validationAccuracy/def.png} + \caption{Default settings + width = 128} + \endminipage\hfill + \minipage{0.5\textwidth} + \includegraphics[width=\linewidth]{testsResults/validationAccuracy/validationAccuracy-lr0.001-bs64-hl2-w64-Adam.png} + \caption{Default settings + width = 64} + \endminipage + \end{figure} + \begin{figure}[H] + \minipage{0.5\textwidth}% + \includegraphics[width=\linewidth]{testsResults/validationAccuracy/validationAccuracy-lr0.001-bs64-hl2-w256-Adam.png} + \caption{Default settings + width = 256} + \endminipage + \minipage{0.5\textwidth}% + \includegraphics[width=\linewidth]{testsResults/validationAccuracy/validationAccuracy-lr0.001-bs64-hl2-w512-Adam.png} + \caption{Default settings + width = 512} + \endminipage + \end{figure} + \begin{figure}[H] + \minipage{0.5\textwidth}% + \includegraphics[width=\linewidth]{testsResults/validationAccuracy/validationAccuracy-lr0.001-bs64-hl2-w1024-Adam.png} + \caption{Default settings + width = 1024} + \endminipage + \end{figure} + +\subsubsection{Optimizer Type} + + \begin{figure}[H] + \minipage{0.5\textwidth} + \includegraphics[width=\linewidth]{testsResults/validationAccuracy/def.png} + \caption{Default settings + Adam optimizer} + \endminipage\hfill + \minipage{0.5\textwidth} + \includegraphics[width=\linewidth]{testsResults/validationAccuracy/validationAccuracy-lr0.001-bs64-hl2-w128-SGD.png} + \caption{Default settings + learning rate = 0.01} + \endminipage + \end{figure} + \begin{figure}[H] + \minipage{0.5\textwidth}% + \includegraphics[width=\linewidth]{testsResults/validationAccuracy/validationAccuracy-lr0.001-bs64-hl2-w128-SGD_Momentum.png} + \caption{Default settings + SGD\_Momentum optimizer} + \endminipage + \end{figure} + \end{document} diff --git a/lab5/report/testsResults/loss/loss-lr0.001-bs64-hl2-w128-Adam.png b/lab5/report/testsResults/loss/bs/def.png similarity index 100% rename from lab5/report/testsResults/loss/loss-lr0.001-bs64-hl2-w128-Adam.png rename to lab5/report/testsResults/loss/bs/def.png diff --git a/lab5/report/testsResults/loss/bs/loss-1batch.png b/lab5/report/testsResults/loss/bs/loss-1batch.png new file mode 100644 index 00000000..8c0521fb Binary files /dev/null and b/lab5/report/testsResults/loss/bs/loss-1batch.png differ diff 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