## Line Chart: Accuracy vs. Model Size ### Overview The image is a line chart comparing the accuracy of two methods, "Maj@8" and "Last@8", across different model sizes (0.5B, 1.5B, and 3B). The chart shows how accuracy changes as the model size increases for each method. ### Components/Axes * **X-axis:** Model Size (Reasoner), with values 0.5B, 1.5B, and 3B. * **Y-axis:** Accuracy (%), with values ranging from 50% to 75% in 5% increments. * **Legend:** Located at the top of the chart. * "Maj@8" is represented by a teal line with circle markers. * "Last@8" is represented by a coral line with square markers. * **Gridlines:** Horizontal dashed lines at each 5% increment on the y-axis. ### Detailed Analysis * **Maj@8 (Teal Line):** The accuracy generally increases as the model size increases. * At 0.5B, the accuracy is approximately 54%. * At 1.5B, the accuracy is approximately 62%. * At 3B, the accuracy is approximately 69%. * **Last@8 (Coral Line):** The accuracy also increases as the model size increases. * At 0.5B, the accuracy is approximately 52%. * At 1.5B, the accuracy is approximately 62%. * At 3B, the accuracy is approximately 67%. ### Key Observations * Both methods show improved accuracy with larger model sizes. * "Maj@8" consistently shows slightly higher accuracy than "Last@8" across all model sizes. * The accuracy improvement from 1.5B to 3B is less pronounced than from 0.5B to 1.5B for both methods. * At 1.5B, both methods have approximately the same accuracy. ### Interpretation The chart suggests that increasing the model size (Reasoner) generally improves the accuracy of both "Maj@8" and "Last@8" methods. However, the gains in accuracy diminish as the model size increases further. The "Maj@8" method appears to be slightly more effective than the "Last@8" method, as it consistently achieves higher accuracy across the tested model sizes. The convergence of accuracy at 1.5B suggests a potential inflection point or a region where the methods perform similarly.