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%\usepackage[english,german,french,spanish,italian]{babel}              % Languages

% Document Info
\author{LoiVyen}
\pdfinfo{
  /Title (abcdefg-train-hijklmnop.pdf)
  /Creator (Cheatography)
  /Author (LoiVyen)
  /Subject (abcdefg train hijklmnop Cheat Sheet)
}

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\fancyhead[L]{
\noindent
\begin{multicols}{3}
\begin{tabulary}{5.8cm}{C}
    \SetRowColor{DarkBackground}
    \vspace{-7pt}
    {\parbox{\dimexpr\textwidth-2\fboxsep\relax}{\noindent
        \hspace*{-6pt}\includegraphics[width=5.8cm]{/web/www.cheatography.com/public/images/cheatography_logo.pdf}}
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\begin{tabulary}{11cm}{L}
    \vspace{-2pt}\large{\bf{\textcolor{DarkBackground}{\textrm{abcdefg train hijklmnop Cheat Sheet}}}} \\
    \normalsize{by \textcolor{DarkBackground}{LoiVyen} via \textcolor{DarkBackground}{\uline{cheatography.com/163788/cs/34315/}}}
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\noindent
\begin{multicols}{3}
\begin{tabulary}{5.8cm}{LL}
  \SetRowColor{FootBackground}
  \mymulticolumn{2}{p{5.377cm}}{\bf\textcolor{white}{Cheatographer}}  \\
  \vspace{-2pt}LoiVyen \\
  \uline{cheatography.com/loivyen} \\
  \end{tabulary}
\vfill
\columnbreak
\begin{tabulary}{5.8cm}{L}
  \SetRowColor{FootBackground}
  \mymulticolumn{1}{p{5.377cm}}{\bf\textcolor{white}{Cheat Sheet}}  \\
   \vspace{-2pt}Not Yet Published.\\
   Updated 9th October, 2022.\\
   Page {\thepage} of \pageref{LastPage}.
\end{tabulary}
\vfill
\columnbreak
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  \mymulticolumn{1}{p{5.377cm}}{\bf\textcolor{white}{Sponsor}}  \\
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  \vspace{-5pt}
  %\includegraphics[width=48px,height=48px]{dave.jpeg}
  Measure your website readability!\\
  www.readability-score.com
\end{tabulary}
\end{multicols}}




\begin{document}
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% www.emerson.emory.edu/services/latex/latex_169.html
\footnotesize % Small font.

\begin{multicols*}{2}

\begin{tabularx}{8.4cm}{X}
\SetRowColor{DarkBackground}
\mymulticolumn{1}{x{8.4cm}}{\bf\textcolor{white}{Training Process}}  \tn
% Row 0
\SetRowColor{LightBackground}
\mymulticolumn{1}{x{8.4cm}}{1.	Initialize the model weights randomly \{\{nl\}\}2.	Predict a few examples with the current weights \{\{nl\}\}3.	Compare prediction with true labels \{\{nl\}\}4.	Calc how to change weights to improve predictions \{\{nl\}\}5.	Update weights slightly \{\{nl\}\}6.	Go back to 2.} \tn 
% Row Count 6 (+ 6)
\hhline{>{\arrayrulecolor{DarkBackground}}-}
\SetRowColor{LightBackground}
\mymulticolumn{1}{x{8.4cm}}{\seqsplit{https://course.spacy.io/en/chapter4}}  \tn 
\hhline{>{\arrayrulecolor{DarkBackground}}-}
\end{tabularx}
\par\addvspace{1.3em}

\begin{tabularx}{8.4cm}{X}
\SetRowColor{DarkBackground}
\mymulticolumn{1}{x{8.4cm}}{\bf\textcolor{white}{Generate a Configuration File for Training}}  \tn
% Row 0
\SetRowColor{LightBackground}
\mymulticolumn{1}{x{8.4cm}}{{\bf{`python -m spacy init config ./config.cfg -{}-lang en -{}-pipeline ner`}}} \tn 
% Row Count 2 (+ 2)
% Row 1
\SetRowColor{white}
\mymulticolumn{1}{x{8.4cm}}{This will allow training for the ner pipeline} \tn 
% Row Count 3 (+ 1)
\hhline{>{\arrayrulecolor{DarkBackground}}-}
\SetRowColor{LightBackground}
\mymulticolumn{1}{x{8.4cm}}{{\bf{init config}}: the command to run \newline {\bf{config.cfg}}: output path for the generated config \newline {\bf{-{}-lang}}: language class of the pipeline, e.g. en for English \newline {\bf{-{}-pipeline}}: comma-separated names of components to include}  \tn 
\hhline{>{\arrayrulecolor{DarkBackground}}-}
\end{tabularx}
\par\addvspace{1.3em}

\begin{tabularx}{8.4cm}{X}
\SetRowColor{DarkBackground}
\mymulticolumn{1}{x{8.4cm}}{\bf\textcolor{white}{Create Training Data (with DocBin)}}  \tn
% Row 0
\SetRowColor{LightBackground}
\mymulticolumn{1}{x{8.4cm}}{`from spacy.tokens import DocBin` \{\{nl\}\}\# Create and save a collection of training docs} \tn 
% Row Count 2 (+ 2)
% Row 1
\SetRowColor{white}
\mymulticolumn{1}{x{8.4cm}}{`docs train\_docbin = DocBin(docs=train\_docs) \{\{nl\}\}train\_docbin.to\_disk("./train.spacy")`} \tn 
% Row Count 4 (+ 2)
% Row 2
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\mymulticolumn{1}{x{8.4cm}}{\# Create and save a collection of evaluation docs} \tn 
% Row Count 5 (+ 1)
% Row 3
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\mymulticolumn{1}{x{8.4cm}}{`dev\_docbin = DocBin(docs=dev\_docs) \{\{nl\}\}dev\_docbin.to\_disk("./dev.spacy")`} \tn 
% Row Count 7 (+ 2)
\hhline{>{\arrayrulecolor{DarkBackground}}-}
\SetRowColor{LightBackground}
\mymulticolumn{1}{x{8.4cm}}{(via Sypder or Jupyter using DocBin)}  \tn 
\hhline{>{\arrayrulecolor{DarkBackground}}-}
\end{tabularx}
\par\addvspace{1.3em}

\begin{tabularx}{8.4cm}{X}
\SetRowColor{DarkBackground}
\mymulticolumn{1}{x{8.4cm}}{\bf\textcolor{white}{Training the Data with CLI}}  \tn
% Row 0
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\mymulticolumn{1}{x{8.4cm}}{\# if used a base\_config.cfg file} \tn 
% Row Count 1 (+ 1)
% Row 1
\SetRowColor{white}
\mymulticolumn{1}{x{8.4cm}}{`python -m spacy init fill-config base\_config.cfg config.cfg`} \tn 
% Row Count 3 (+ 2)
% Row 2
\SetRowColor{LightBackground}
\mymulticolumn{1}{x{8.4cm}}{\# if configurations entered in config.cfg (namely the dev/train paths)} \tn 
% Row Count 5 (+ 2)
% Row 3
\SetRowColor{white}
\mymulticolumn{1}{x{8.4cm}}{`python -m spacy train config.cfg -{}-output ./output`} \tn 
% Row Count 7 (+ 2)
% Row 4
\SetRowColor{LightBackground}
\mymulticolumn{1}{x{8.4cm}}{\# overwrite config file and train} \tn 
% Row Count 8 (+ 1)
% Row 5
\SetRowColor{white}
\mymulticolumn{1}{x{8.4cm}}{`python -m spacy train ./config.cfg -{}-output ./output -{}-paths.train train.spacy -{}-paths.dev dev.spacy`} \tn 
% Row Count 11 (+ 3)
% Row 6
\SetRowColor{LightBackground}
\mymulticolumn{1}{x{8.4cm}}{\# other way to overwrite config file settings (ex.)} \tn 
% Row Count 13 (+ 2)
% Row 7
\SetRowColor{white}
\mymulticolumn{1}{x{8.4cm}}{in config file:\{\{nl\}\}{\emph{{[}training{]}}} `-{}-training` \{\{nl\}\} {\emph{eval\_frequency}} `.eval\_frequency 10` \{\{nl\}\}{\emph{max\_steps}} `.max\_steps 300`\{\{nl\}\}} \tn 
% Row Count 16 (+ 3)
% Row 8
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\mymulticolumn{1}{x{8.4cm}}{config file to cmd line:} \tn 
% Row Count 17 (+ 1)
% Row 9
\SetRowColor{white}
\mymulticolumn{1}{x{8.4cm}}{`python -m spacy train config.cfg -{}-output ./output  -{}-training.eval\_frequency 10 -{}-training.max\_steps 300`} \tn 
% Row Count 20 (+ 3)
\hhline{>{\arrayrulecolor{DarkBackground}}-}
\SetRowColor{LightBackground}
\mymulticolumn{1}{x{8.4cm}}{\seqsplit{https://spacy.io/usage/training}}  \tn 
\hhline{>{\arrayrulecolor{DarkBackground}}-}
\end{tabularx}
\par\addvspace{1.3em}

\begin{tabularx}{8.4cm}{X}
\SetRowColor{DarkBackground}
\mymulticolumn{1}{x{8.4cm}}{\bf\textcolor{white}{Train from Python Compiler}}  \tn
% Row 0
\SetRowColor{LightBackground}
\mymulticolumn{1}{x{8.4cm}}{`from spacy.cli.train import train as spacy\_train`} \tn 
% Row Count 1 (+ 1)
% Row 1
\SetRowColor{white}
\mymulticolumn{1}{x{8.4cm}}{`config\_path = "./config/config.cfg" \{\{nl\}\}output\_model\_path = "output/" \{\{nl\}\}spacy\_train(     \{\{nl\}\}~~~~config\_path,     \{\{nl\}\}~~~~output\_path=output\_model\_path,     \{\{nl\}\}~~~~overrides=\{         \{\{nl\}\}~~~~~~~~"paths.train": "./train.spacy",         \{\{nl\}\}~~~~~~~~"paths.dev": "./test.spacy",         \{\{nl\}\}~~~~~~~~"training.eval\_frequency" : 10,          \{\{nl\}\}~~~~~~~~"training.max\_steps" : 300     \{\{nl\}\}~~~~\}, \{\{nl\}\})`} \tn 
% Row Count 15 (+ 14)
% Row 2
\SetRowColor{LightBackground}
\mymulticolumn{1}{x{8.4cm}}{{\bf{output:}}\{\{nl\}\}ℹ Saving to output directory: output\textbackslash{} \{\{nl\}\}ℹ Using CPU \{\{nl\}\}ℹ To switch to GPU 0, use the option: -{}-gpu-id 0 \{\{nl\}\}`========= Initializing pipeline ========` \{\{nl\}\}`✔ Initialized pipeline` \{\{nl\}\}`=========== Training pipeline ==========` \{\{nl\}\}ℹ Pipeline: {[}'tok2vec', 'ner'{]} \{\{nl\}\}ℹ Initial learn rate: 0.001 \{\{nl\}\}`E   \#       LOSSTOK2VEC  LOSSNER  \seqsplit{ENTS\_F~~ENTS\_P~~ENTS\_R~~SCORE} ` \{\{nl\}\}`-{}-{}- -{}-{}- -{}-{}- -{}-{}-{}- -{}-{}-{}- -{}-{}-{}- -{}-{}-{}-{}-{}-{}- -{}-{}-{}-{}-{}- -{}-{}-{}- -{}-{}- -{}-{}-` \{\{nl\}\}` 0~~~~0~~~0.00~~~69.09 ~~~13.42   ~~~10.09~~~20.00~~~0.13` \{\{nl\}\}` 0~~~10~~~0.96~~~855.31 ~~~3.59 ~~~42.86~~~1.88 ~~~0.04` \{\{nl\}\}`...` \{\{nl\}\} (etc) \{\{nl\}\}`✔ Saved pipeline to output directory` \{\{nl\}\}`output\textbackslash{}model-last`} \tn 
% Row Count 34 (+ 19)
\hhline{>{\arrayrulecolor{DarkBackground}}-}
\end{tabularx}
\par\addvspace{1.3em}

\begin{tabularx}{8.4cm}{x{3.572 cm} x{2.204 cm} x{1.824 cm} }
\SetRowColor{DarkBackground}
\mymulticolumn{3}{x{8.4cm}}{\bf\textcolor{white}{Trainable Components}}  \tn
% Row 0
\SetRowColor{LightBackground}
tagger~~~~~~~~~ & \seqsplit{morphologizer~~} & \seqsplit{trainable\_lemmatizer} \tn 
% Row Count 4 (+ 4)
% Row 1
\SetRowColor{white}
parser & ner &  \tn 
% Row Count 5 (+ 1)
% Row 2
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spancat & texcat &  \tn 
% Row Count 6 (+ 1)
\hhline{>{\arrayrulecolor{DarkBackground}}---}
\end{tabularx}
\par\addvspace{1.3em}

\begin{tabularx}{8.4cm}{X}
\SetRowColor{DarkBackground}
\mymulticolumn{1}{x{8.4cm}}{\bf\textcolor{white}{Configuration File (Defaults - sample)}}  \tn
% Row 0
\SetRowColor{LightBackground}
\mymulticolumn{1}{x{8.4cm}}{`python -m spacy init config ./config.cfg -{}-lang en -{}-pipeline ner`} \tn 
% Row Count 2 (+ 2)
% Row 1
\SetRowColor{white}
\mymulticolumn{1}{x{8.4cm}}{{[}paths{]} \{\{nl\}\}train = null \{\{nl\}\}dev = null \{\{nl\}\}vectors = null\{\{nl\}\}init\_tok2vec = null} \tn 
% Row Count 4 (+ 2)
% Row 2
\SetRowColor{LightBackground}
\mymulticolumn{1}{x{8.4cm}}{{[}nlp{]}\{\{nl\}\} lang = "en"\{\{nl\}\} pipeline = {[}"tok2vec","ner"{]}\{\{nl\}\} batch\_size = 1000\{\{nl\}\} disabled = {[}{]}\{\{nl\}\} before\_creation = null\{\{nl\}\} after\_creation = null\{\{nl\}\} \seqsplit{after\_pipeline\_creation} = null\{\{nl\}\} tokenizer = \{"@tokenizers":"spacy.Tokenizer.v1"\}} \tn 
% Row Count 10 (+ 6)
% Row 3
\SetRowColor{white}
\mymulticolumn{1}{x{8.4cm}}{{[}training{]}\{\{nl\}\} dev\_corpus = "corpora.dev"\{\{nl\}\} train\_corpus = "corpora.train"\{\{nl\}\} seed = \$\{system.seed\}\{\{nl\}\} gpu\_allocator = \$\{system.gpu\_allocator\}\{\{nl\}\} dropout = 0.1\{\{nl\}\} accumulate\_gradient = 1\{\{nl\}\} patience = 1600\{\{nl\}\} max\_epochs = 0\{\{nl\}\} max\_steps = 20000\{\{nl\}\} eval\_frequency = 200\{\{nl\}\} frozen\_components = {[}{]}\{\{nl\}\} annotating\_components = {[}{]}\{\{nl\}\} before\_to\_disk = null\{\{nl\}\}} \tn 
% Row Count 18 (+ 8)
% Row 4
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\mymulticolumn{1}{x{8.4cm}}{{[}training.batcher.size{]}\{\{nl\}\} @schedules = "compounding.v1"\{\{nl\}\} start = 100\{\{nl\}\} stop = 1000\{\{nl\}\} compound = 1.001\{\{nl\}\} t = 0.0\{\{nl\}\}\{\{nl\}\}  {[}pretraining{]}} \tn 
% Row Count 22 (+ 4)
% Row 5
\SetRowColor{white}
\mymulticolumn{1}{x{8.4cm}}{{[}initialize{]}\{\{nl\}\} vectors = \$\{paths.vectors\}\{\{nl\}\} init\_tok2vec = \$\{paths.init\_tok2vec\} \{\{nl\}\}\{\{nl\}\} {[}initialize.components{]} \{\{nl\}\} {[}initialize.tokenizer{]}} \tn 
% Row Count 26 (+ 4)
\hhline{>{\arrayrulecolor{DarkBackground}}-}
\SetRowColor{LightBackground}
\mymulticolumn{1}{x{8.4cm}}{enter in path for train.spacy and test.spacy in train and dev for {[}paths{]} respectively \newline enter in trained pipeline in vectors for {[}path{]} \newline custom rules initialized near bottom \newline  \newline config file with annotations:  \newline https://github.com/explosion/spaCy/blob/master/spacy/default\_config.cfg}  \tn 
\hhline{>{\arrayrulecolor{DarkBackground}}-}
\end{tabularx}
\par\addvspace{1.3em}


% That's all folks
\end{multicols*}

\end{document}