\begin{table}
		\centering
		\begin{adjustbox}
			{max width=\textwidth}
			\begin{tabular}{@{}ccccccccccccccccc@{}}
				\toprule \multirow{3}{*}{Target} & \multicolumn{2}{c}{\multirow{2}{*}{\begin{tabular}[c]{@{}c@{}}Supervised \\ (Fine-tuned RoBERTa)\end{tabular}}} & \multicolumn{14}{c}{ConDA model with Source as} \\
				\cmidrule(l){4-17}               & \multicolumn{2}{c}{}                                                                                            & \multicolumn{2}{c|}{C}                         & \multicolumn{2}{c|}{F19}      & \multicolumn{2}{c|}{G2X}            & \multicolumn{2}{c|}{G3}       & \multicolumn{2}{c|}{GM}             & \multicolumn{2}{c|}{X}              & \multicolumn{2}{c}{\textit{Average}} \\
				\cmidrule(l){2-17}               & \multicolumn{1}{c}{\small F1}                                                                                   & \multicolumn{1}{c|}{\small AUROC}              & \multicolumn{1}{c}{\small F1} & \multicolumn{1}{c|}{\small AUROC}   & \multicolumn{1}{c}{\small F1} & \multicolumn{1}{c|}{\small AUROC}   & \multicolumn{1}{c}{\small F1}       & \multicolumn{1}{c|}{\small AUROC}   & \multicolumn{1}{c}{\small F1} & \multicolumn{1}{c|}{\small AUROC} & \multicolumn{1}{c}{\small F1}       & \multicolumn{1}{c|}{\small AUROC}   & \multicolumn{1}{c}{\small F1} & \multicolumn{1}{c|}{\small AUROC} & \multicolumn{1}{c}{\small F1} & \multicolumn{1}{c}{\small AUROC} \\
				\midrule \multicolumn{1}{c|}{C}  & 98                                                                                                              & \multicolumn{1}{c|}{1}                         & \multicolumn{2}{c|}{--}       & 96                                  & \multicolumn{1}{c|}{0.998}    & 81                                  & \multicolumn{1}{c|}{0.949}          & 69                                  & \multicolumn{1}{c|}{0.783}    & \textbf{99}                       & \multicolumn{1}{c|}{\textbf{1}}     & 78                                  & \multicolumn{1}{c|}{0.991}    & 84.6                              & 0.9442                         \\
				\multicolumn{1}{c|}{F19}         & 98                                                                                                              & \multicolumn{1}{c|}{0.999}                     & 73                            & \multicolumn{1}{c|}{0.894}          & \multicolumn{2}{c|}{--}       & \textbf{83}                         & \multicolumn{1}{c|}{\textbf{0.966}} & 63                                  & \multicolumn{1}{c|}{0.607}    & 27                                & \multicolumn{1}{c|}{0.826}          & 28                                  & \multicolumn{1}{c|}{0.766}    & 54.8                              & 0.8118                         \\
				\multicolumn{1}{c|}{G2X}         & 92                                                                                                              & \multicolumn{1}{c|}{0.998}                     & 77                            & \multicolumn{1}{c|}{0.946}          & \textbf{98}                   & \multicolumn{1}{c|}{\textbf{0.998}} & \multicolumn{2}{c|}{--}             & 69                                  & \multicolumn{1}{c|}{0.902}    & 95                                & \multicolumn{1}{c|}{0.991}          & 94                                  & \multicolumn{1}{c|}{0.991}    & 86.6                              & 0.9656                         \\
				\multicolumn{1}{c|}{G3}          & 72                                                                                                              & \multicolumn{1}{c|}{0.988}                     & 81                            & \multicolumn{1}{c|}{0.938}          & \textbf{89}                   & \multicolumn{1}{c|}{0.975}          & 82                                  & \multicolumn{1}{c|}{0.962}          & \multicolumn{2}{c|}{--}       & 77                                & \multicolumn{1}{c|}{\textbf{0.982}} & 87                                  & \multicolumn{1}{c|}{0.981}    & 83.2                              & 0.9676                         \\
				\multicolumn{1}{c|}{GM}          & 98                                                                                                              & \multicolumn{1}{c|}{0.996}                     & \textbf{95}                   & \multicolumn{1}{c|}{\textbf{0.988}} & 68                            & \multicolumn{1}{c|}{0.961}          & 92                                  & \multicolumn{1}{c|}{0.984}          & 68                            & \multicolumn{1}{c|}{0.819}        & \multicolumn{2}{c|}{--}             & 44                                  & \multicolumn{1}{c|}{0.98}     & 73.4                              & 0.9464                         \\
				\multicolumn{1}{c|}{X}           & 99                                                                                                              & \multicolumn{1}{c|}{1}                         & 94                            & \multicolumn{1}{c|}{0.985}          & 95                            & \multicolumn{1}{c|}{0.999}          & 94                                  & \multicolumn{1}{c|}{0.988}          & 69                            & \multicolumn{1}{c|}{0.683}        & \textbf{99}                         & \multicolumn{1}{c|}{\textbf{0.999}} & \multicolumn{2}{c|}{--}       & 90.2                              & 0.9308                         \\
				\bottomrule
			\end{tabular}
		\end{adjustbox}
		\caption{Table 3: Performance of our ConDA model on each of the target domains,
		with each of the other domains as source. Numbers in \textbf{bold} are the
		best performing ConDA models for each target domain, i.e. closest to fully
		supervised performance.}
	\end{table}