\begin{table*}[htp]
\resizebox{\textwidth}{!}{
\begin{tabular}{lrrr}
\toprule
Model/adapter & TabFact - Accuracy & TabFact - Macro F1 & TabFact - Micro F1 \\
\midrule
Llama 3 Instruct (70B) & 0.12 & 0.20832049306625577 & 0.21052631578947367 \\
Llama 3 Instruct (8B) & 0.61 & 0.6353771025501899 & 0.6354166666666666 \\
Mistral Instruct v0.3 (7B) & 0.39 & 0.4130952380952381 & 0.484472049689441 \\
Mixtral Instruct (8x22B) & 0.62 & 0.6889739474009138 & 0.6888888888888889 \\
Mixtral Instruct (8x7B) & 0.65 & 0.6482765551200884 & 0.65 \\
Qwen2 Instruct (72B) & 0.87 & 0.8699869986998701 & 0.87 \\
Claude 3.5 Sonnet (20240620) &  &  &  \\
Gemini 1.5 Pro (001) & 0.42 & 0.5591634562465603 & 0.5675675675675675 \\
Gemini 1.5 Flash (001) &  &  &  \\
GPT-4o (2024-05-13) & 0.8 & 0.8184888138455044 & 0.8205128205128205 \\
GPT-4o mini (2024-07-18) & 0.61 & 0.6303203159280386 & 0.6354166666666666 \\
\bottomrule
\end{tabular}}
\caption{Results for classification_metrics (table_scenarios)}
\label{fig:classification_metrics (table_scenarios)}
\end{table*}