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@@ -55,7 +55,32 @@ The following hyperparameters were used during training:
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  ### Performance Overview:
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  ### Framework versions
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  ### Performance Overview:
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+ \begin{table}[h]
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+ \centering
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+ \begin{tabular}{|l|c|c|c|}
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+ \hline
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+ \textbf{Model Name} & \textbf{WER} & \textbf{CER} & \textbf{Number of Parameters}\\ \hline
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+ Whisper Tiny & 0.46 & 0.27 & 39M \\ \hline
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+ Whisper Base & 0.42 & 0.26 & 74M \\ \hline
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+ Whisper Small & 0.39 & 0.26 & 244M \\ \hline
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+ Whisper Medium & 0.37 & 0.23 & 769M \\ \hline
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+ Whisper Large v3 & 0.33 & 0.18 & 1.55B \\ \hline
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+ \textbf{Whisper Medical} & \textbf{0.19} & \textbf{0.10} & \textbf{1.55B} \\ \hline
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+ \end{tabular}
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+ \caption{Performance of foundation Whispers vs Medical Whisper on the Validation set.}
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+ \label{tab:whisper_models}
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+ \end{table}
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+
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+ \begin{table}[h]
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+ \centering
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+ \begin{tabular}{|>{\bfseries}l|>{\bfseries}c|>{\bfseries}c|}
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+ \hline
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+ Model Name & WER & CER \\ \hline
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+ Whisper Medical & 0.24 & 0.13 \\ \hline
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+ \end{tabular}
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+ \caption{Performance of Whisper Medical on the Test set (Generalization ability).}
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+ \label{tab:whisper_medical_test}
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+ \end{table}
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  ### Framework versions
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