Update README.md

README.md

@@ -55,32 +55,23 @@ The following hyperparameters were used during training:
 
 ### Performance Overview:
 
-\begin{table}[h]
-    \centering
-    \begin{tabular}{|l|c|c|c|}
-    \hline
-    \textbf{Model Name} & \textbf{WER} & \textbf{CER} & \textbf{Number of Parameters}\\ \hline
-    Whisper Tiny & 0.46 & 0.27 & 39M \\ \hline
-    Whisper Base & 0.42 & 0.26 & 74M \\ \hline
-    Whisper Small & 0.39 & 0.26 & 244M \\ \hline
-    Whisper Medium & 0.37 & 0.23 & 769M \\ \hline
-    Whisper Large v3 & 0.33 & 0.18 & 1.55B \\ \hline
-    \textbf{Whisper Medical} & \textbf{0.19} & \textbf{0.10} & \textbf{1.55B} \\ \hline
-    \end{tabular}
-    \caption{Performance of foundation Whispers vs Medical Whisper on the Validation set.}
-    \label{tab:whisper_models}
-\end{table}
-
-\begin{table}[h]
-    \centering
-    \begin{tabular}{|>{\bfseries}l|>{\bfseries}c|>{\bfseries}c|}
-    \hline
-    Model Name & WER & CER \\ \hline
-    Whisper Medical & 0.24 & 0.13 \\ \hline
-    \end{tabular}
-    \caption{Performance of Whisper Medical on the Test set (Generalization ability).}
-    \label{tab:whisper_medical_test}
-\end{table}
+\| Model Name         | WER  | CER  | Number of Parameters |
+|--------------------|------|------|----------------------|
+| Whisper Tiny       | 0.46 | 0.27 | 39M                  |
+| Whisper Base       | 0.42 | 0.26 | 74M                  |
+| Whisper Small      | 0.39 | 0.26 | 244M                 |
+| Whisper Medium     | 0.37 | 0.23 | 769M                 |
+| Whisper Large v3   | 0.33 | 0.18 | 1.55B                |
+| **Whisper Medical**| **0.19** | **0.10** | **1.55B**      |
+
+_Performance of foundation Whispers vs Medical Whisper on the Validation set._
+
+| Model Name         | WER  | CER  | Number of Parameters |
+|--------------------|------|------|----------------------|
+| **Whisper Medical**| **0.15** | **0.07** | **1.55B**    |
+
+**Table: Performance of Whisper Medical on the Test set.**
+
 
 ### Framework versions