Color zero-shot models

app.py

@@ -79,7 +79,7 @@ with gr.Blocks() as demo:
                     * **Average relative error**: Geometric mean of the relative errors for each task. The relative error for each task is computed as `model_error / baseline_error`.
                     * **Average rank**: Arithmetic mean of the ranks achieved by each model on each task.
                     * **Median inference time (s)**: Median of the times required to make predictions for the entire dataset (in seconds).
-                    * **Training corpus overlap (%)**: Percentage of the datasets used in the benchmark that were included in the model's training corpus. Zero-shot models are highlighted in green.
+                    * **Training corpus overlap (%)**: Percentage of the datasets used in the benchmark that were included in the model's training corpus. Zero-shot models are highlighted in <span style="color:green; font-weight:bold;">green</span>.
 
                     Lower values are better for all of the above metrics.