## Heatmap: Performance Comparison of Pro and Ultra Models ### Overview The heatmap illustrates the performance of two models, Pro and Ultra, across various sequence positions. The x-axis represents the sequence position, while the y-axis represents the NLL (Negative Log-Likelihood) value. The color gradient indicates the performance, with darker shades representing lower NLL values and lighter shades representing higher NLL values. ### Components/Axes - **X-axis**: Sequence position, ranging from 8 to 32K. - **Y-axis**: NLL value, ranging from 0 to 1. - **Legend**: Two lines representing Pro and Ultra models, with Pro in green and Ultra in blue. - **Gridlines**: Light gray lines that help in reading the values on the axes. ### Detailed Analysis or ### Content Details - **Pro Model**: The Pro model shows a consistent decrease in NLL value as the sequence position increases. The NLL value starts at 0.1 and decreases to 0.01 by 32K. - **Ultra Model**: The Ultra model also shows a decrease in NLL value, but it is slightly more pronounced than the Pro model. The NLL value starts at 0.1 and decreases to 0.005 by 32K. - **Color Gradient**: The color gradient ranges from light green to dark blue, indicating a decrease in performance from Pro to Ultra. ### Key Observations - **Pro Model**: Pro model performs consistently well across all sequence positions, with a steady decrease in NLL value. - **Ultra Model**: Ultra model performs slightly better than Pro model, especially at higher sequence positions. - **Performance Trend**: Both models show a decreasing trend in performance as the sequence position increases. ### Interpretation The heatmap suggests that the Ultra model has a slight edge over the Pro model in terms of performance, especially at higher sequence positions. This could indicate that the Ultra model is more efficient or better suited for the task at hand. The consistent decrease in NLL value for both models suggests that as the sequence length increases, the models become more accurate in their predictions.