\begin{table*}[htp]
\resizebox{\textwidth}{!}{
\begin{tabular}{lrrr}
\toprule
Model/adapter & TabFact - Accuracy & TabFact - Macro F1 & TabFact - Micro F1 \\
\midrule
Mistral v0.1 (7B) & 0.59 & 0.6340080971659919 & 0.6344086021505376 \\
Llama 3 (70B) & 0.62 & 0.7204301075268817 & 0.7251461988304093 \\
Llama 3 (8B) & 0.19 & 0.2838050314465409 & 0.304 \\
Mixtral (8x22B) & 0.03 & 0.05773584905660377 & 0.05825242718446602 \\
Qwen1.5 (72B) & 0.54 & 0.5090909090909091 & 0.6171428571428571 \\
Qwen1.5 (7B) & 0.19 & 0.26 & 0.304 \\
Claude 3 Sonnet (20240229) &  &  &  \\
Claude 3.5 Sonnet (20240620) &  &  &  \\
Gemini 1.5 Pro (001) & 0.46 & 0.6116349404020637 & 0.6133333333333333 \\
Gemini 1.5 Flash (001) &  &  &  \\
GPT-3.5 Turbo (0125) & 0.77 & 0.7660461804495982 & 0.77 \\
GPT-4o (2024-05-13) & 0.84 & 0.8383838383838383 & 0.84 \\
\bottomrule
\end{tabular}}
\caption{Results for classification_metrics (table_scenarios)}
\label{fig:classification_metrics (table_scenarios)}
\end{table*}