## Chart: RE-Adapter Strength vs. Score ### Overview The image is a line graph showing the relationship between RE-Adapter Strength (x-axis) and Score (y-axis) for two different metrics: Rouge-L and Exact. The graph shows how the scores change as the RE-Adapter Strength increases from 0 to 1. ### Components/Axes * **X-axis:** RE-Adapter Strength, ranging from 0 to 1. Axis markers are at 0, 0.5, and 1. * **Y-axis:** Score, ranging from 0 to 60. Axis markers are at 0, 20, 40, and 60. * **Legend:** Located in the bottom-right of the chart. * **Rouge-L:** Represented by a solid dark blue line. * **Exact:** Represented by a dotted orange line. ### Detailed Analysis * **Rouge-L (Dark Blue Line):** * Trend: The Rouge-L score increases sharply from 0 to 0.5 RE-Adapter Strength, then decreases from 0.5 to 1. * Data Points: * At 0 RE-Adapter Strength, the Rouge-L score is approximately 10. * At 0.5 RE-Adapter Strength, the Rouge-L score peaks at approximately 56. * At 1 RE-Adapter Strength, the Rouge-L score is approximately 45. * **Exact (Dotted Orange Line):** * Trend: The Exact score increases from 0 to approximately 0.5 RE-Adapter Strength, then plateaus and slightly decreases from 0.5 to 1. * Data Points: * At 0 RE-Adapter Strength, the Exact score is approximately 3. * At 0.5 RE-Adapter Strength, the Exact score is approximately 37. * At 1 RE-Adapter Strength, the Exact score is approximately 34. ### Key Observations * The Rouge-L score peaks at a RE-Adapter Strength of 0.5, while the Exact score plateaus after 0.5. * The Rouge-L score is significantly higher than the Exact score for all RE-Adapter Strength values. * Both scores show improvement with increasing RE-Adapter Strength up to a certain point. ### Interpretation The data suggests that increasing the RE-Adapter Strength initially improves both Rouge-L and Exact scores. However, beyond a certain point (around 0.5), further increases in RE-Adapter Strength lead to a decrease in the Rouge-L score, while the Exact score plateaus. This indicates that there is an optimal RE-Adapter Strength for maximizing the Rouge-L score, and that excessive RE-Adapter Strength may not be beneficial. The Rouge-L score consistently outperforms the Exact score, suggesting that it is a more sensitive metric for evaluating the impact of RE-Adapter Strength.

\n ## Line Chart: RE-Adapter Strength vs. Score ### Overview This image presents a line chart illustrating the relationship between "RE-Adapter Strength" and "Score" for two different metrics: "Rouge-L" and "Exact". The chart shows how the scores for both metrics change as the RE-Adapter Strength is varied from 0 to 1. ### Components/Axes * **X-axis:** "RE-Adapter Strength" ranging from 0 to 1, with markers at 0, 0.5, and 1. * **Y-axis:** "Score" ranging from 0 to 60, with markers at 0, 20, 40, and 60. * **Legend:** Located in the top-right corner, containing two entries: * "Rouge-L" – represented by a solid dark blue line. * "Exact" – represented by an orange dashed line with square markers. * **Gridlines:** Present to aid in reading values. ### Detailed Analysis **Rouge-L (Dark Blue Line):** The Rouge-L line slopes upward from a score of approximately 8 at RE-Adapter Strength 0, reaching a peak of approximately 54 at RE-Adapter Strength 0.5. It then declines to approximately 46 at RE-Adapter Strength 1. * RE-Adapter Strength 0: Rouge-L Score ≈ 8 * RE-Adapter Strength 0.5: Rouge-L Score ≈ 54 * RE-Adapter Strength 1: Rouge-L Score ≈ 46 **Exact (Orange Dashed Line):** The Exact line starts at approximately 2 at RE-Adapter Strength 0, rises to approximately 34 at RE-Adapter Strength 0.5, and then plateaus, remaining around 32-33 at RE-Adapter Strength 1. * RE-Adapter Strength 0: Exact Score ≈ 2 * RE-Adapter Strength 0.5: Exact Score ≈ 34 * RE-Adapter Strength 1: Exact Score ≈ 32 ### Key Observations * Rouge-L score demonstrates a clear peak at RE-Adapter Strength 0.5, indicating an optimal strength for this metric. * The Exact score increases with RE-Adapter Strength but does not exhibit the same pronounced peak as Rouge-L. It appears to plateau after RE-Adapter Strength 0.5. * There is a significant difference in the magnitude of the scores between Rouge-L and Exact, with Rouge-L consistently achieving higher scores. ### Interpretation The chart suggests that the RE-Adapter Strength has a notable impact on the Rouge-L score, with an optimal value around 0.5. Increasing the strength beyond this point leads to a decrease in performance, as measured by Rouge-L. The Exact score also benefits from increased RE-Adapter Strength, but the effect is less dramatic and appears to level off. The difference in behavior between the two metrics suggests they capture different aspects of the model's performance. Rouge-L, which measures recall-oriented understudy for gisting evaluation, seems to be more sensitive to the RE-Adapter Strength, while the Exact metric, which likely measures exact match, is less affected. The plateauing of the Exact score at higher RE-Adapter Strengths could indicate that the model is reaching a limit in its ability to generate exact matches, regardless of the adapter's influence. The decline in Rouge-L at RE-Adapter Strength 1 could be due to overfitting or a disruption of the model's ability to generalize.

## Line Chart: RE-Adapter Strength vs. Score ### Overview The image is a 2D line chart plotting two performance metrics ("Rouge-L" and "Exact") against a variable called "RE-Adapter Strength". The chart demonstrates how these scores change as the adapter strength increases from 0 to 1. ### Components/Axes * **X-Axis (Horizontal):** * **Label:** "RE-Adapter Strength" * **Scale:** Linear scale from 0 to 1. * **Major Tick Marks:** 0, 0.5, 1. * **Y-Axis (Vertical):** * **Label:** "Score" * **Scale:** Linear scale from 0 to 60. * **Major Tick Marks:** 0, 20, 40, 60. * **Legend:** * **Position:** Bottom-right corner of the chart area. * **Series 1:** "Rouge-L" - Represented by a thick, solid blue line. * **Series 2:** "Exact" - Represented by a dotted orange line. ### Detailed Analysis **Data Series 1: Rouge-L (Solid Blue Line)** * **Trend:** The line shows a sharp, concave-downward increase followed by a moderate decrease. * **Data Points (Approximate):** * At Strength = 0: Score ≈ 10 * At Strength ≈ 0.25: Score ≈ 45 * At Strength = 0.5: Score ≈ 55 (Peak) * At Strength = 1: Score ≈ 45 **Data Series 2: Exact (Dotted Orange Line)** * **Trend:** The line shows a steady, concave-downward increase followed by a slight plateau or very gentle decrease. * **Data Points (Approximate):** * At Strength = 0: Score ≈ 5 * At Strength ≈ 0.25: Score ≈ 25 * At Strength = 0.5: Score ≈ 35 (Peak) * At Strength = 1: Score ≈ 30 ### Key Observations 1. **Peak Performance:** Both metrics achieve their highest score at an RE-Adapter Strength of 0.5. 2. **Relative Performance:** The "Rouge-L" score is consistently higher than the "Exact" score across all measured strengths. 3. **Sensitivity:** The "Rouge-L" metric appears more sensitive to changes in adapter strength, showing a steeper initial rise and a more pronounced peak compared to the "Exact" metric. 4. **Post-Peak Behavior:** After the peak at 0.5, both scores decline as strength increases to 1.0, but the decline for "Rouge-L" is more significant. ### Interpretation The chart suggests that the "RE-Adapter" has an optimal operating point at a strength of 0.5 for maximizing both evaluated metrics. The data indicates a classic "inverted-U" or "diminishing returns" relationship, where increasing the adapter's strength beyond the midpoint harms performance. The consistent gap between the "Rouge-L" and "Exact" scores implies that the system being evaluated is better at generating responses that are semantically similar to a reference (measured by Rouge-L) than it is at generating verbatim or perfectly matching responses (measured by Exact match). The stronger reaction of the Rouge-L score to the adapter strength suggests the adapter's primary influence may be on the fluency or relevance of the output rather than its precise lexical accuracy.

## Line Graph: Performance Comparison of Rouge-L and Exact Metrics ### Overview The image depicts a line graph comparing the performance scores of two metrics, **Rouge-L** (solid blue line) and **Exact** (dashed orange line), across varying **RE-Adapter Strength** values (0 to 1). The y-axis represents the "Score" (0–60), while the x-axis represents the "RE-Adapter Strength" (0–1). The legend is positioned in the bottom-right corner. --- ### Components/Axes - **X-axis (Horizontal)**: - Label: **RE-Adapter Strength** - Scale: 0 (left) to 1 (right), with a midpoint marker at 0.5. - **Y-axis (Vertical)**: - Label: **Score** - Scale: 0 (bottom) to 60 (top), with intermediate markers at 20, 40. - **Legend**: - Position: Bottom-right corner. - Entries: - **Rouge-L**: Solid blue line. - **Exact**: Dashed orange line. --- ### Detailed Analysis #### Rouge-L (Solid Blue Line) - **Trend**: - Starts at approximately **10** when RE-Adapter Strength = 0. - Increases sharply to ~**45** at RE-Adapter Strength = 0.5. - Slightly declines to ~**40** at RE-Adapter Strength = 1. - **Key Data Points**: - (0, ~10), (0.5, ~45), (1, ~40). #### Exact (Dashed Orange Line) - **Trend**: - Starts at approximately **5** when RE-Adapter Strength = 0. - Rises steadily to ~**35** at RE-Adapter Strength = 0.5. - Remains flat at ~**35** at RE-Adapter Strength = 1. - **Key Data Points**: - (0, ~5), (0.5, ~35), (1, ~35). --- ### Key Observations 1. **Rouge-L outperforms Exact** across all RE-Adapter Strength values, with a maximum gap of ~10 points at RE-Adapter Strength = 0.5. 2. **Rouge-L peaks at 0.5** before declining slightly, suggesting diminishing returns at higher strengths. 3. **Exact plateaus at 0.5**, indicating no further improvement beyond this strength. 4. The gap between the two metrics narrows as RE-Adapter Strength increases, converging near 35–40 at RE-Adapter Strength = 1. --- ### Interpretation - **Performance Dynamics**: - Rouge-L’s sharp rise to 0.5 suggests it is highly sensitive to mid-range RE-Adapter Strength, potentially optimizing performance at this threshold. - The slight decline after 0.5 may indicate overfitting or inefficiency at maximum strength. - **Exact’s Behavior**: - The flat performance after 0.5 implies that increasing RE-Adapter Strength beyond this point does not enhance Exact’s accuracy. - **Practical Implications**: - For applications prioritizing peak performance, Rouge-L at RE-Adapter Strength = 0.5 is optimal. - The convergence at higher strengths suggests that both metrics may achieve similar utility in extreme cases, though Rouge-L remains superior overall. - **Uncertainties**: - Approximate values (e.g., ~10, ~45) reflect visual estimation due to unlabeled data points. - The exact nature of the "Score" metric (e.g., BLEU, ROUGE) is unspecified, limiting interpretability. --- ### Final Notes The graph highlights the trade-offs between Rouge-L and Exact metrics under varying RE-Adapter Strength. While Rouge-L demonstrates superior performance, its sensitivity to strength adjustments warrants further investigation into optimal configuration strategies.