\n ## Line Chart: Benchmark Average Validation Score vs. Training Step ### Overview This image presents a line chart illustrating the validation score of two models, GRPO and MEL, as a function of the training step. The chart aims to compare the performance of these models during the training process. ### Components/Axes * **Title:** "Benchmark: Average" - positioned at the top-center of the chart. * **X-axis:** "Training Step" - ranging from approximately 0 to 140, with markers at intervals of 20. * **Y-axis:** "Validation Score" - ranging from approximately 0.36 to 0.46, with markers at intervals of 0.02. * **Legend:** Located in the top-right corner of the chart. * GRPO - represented by a blue line with circular markers. * MEL - represented by a light-red line with triangular markers. * **Gridlines:** Faint gray horizontal and vertical gridlines are present to aid in reading values. ### Detailed Analysis **GRPO (Blue Line):** The GRPO line generally slopes upward from step 0 to approximately step 100, then plateaus and slightly declines. * At Training Step 0, Validation Score is approximately 0.37. * At Training Step 20, Validation Score is approximately 0.41. * At Training Step 40, Validation Score is approximately 0.38. * At Training Step 60, Validation Score is approximately 0.41. * At Training Step 80, Validation Score is approximately 0.40. * At Training Step 100, Validation Score is approximately 0.44. * At Training Step 120, Validation Score is approximately 0.43. * At Training Step 140, Validation Score is approximately 0.42. **MEL (Light-Red Line):** The MEL line also generally slopes upward, but with more pronounced fluctuations. * At Training Step 0, Validation Score is approximately 0.36. * At Training Step 20, Validation Score is approximately 0.41. * At Training Step 40, Validation Score is approximately 0.39. * At Training Step 60, Validation Score is approximately 0.42. * At Training Step 80, Validation Score is approximately 0.42. * At Training Step 100, Validation Score is approximately 0.45. * At Training Step 120, Validation Score is approximately 0.44. * At Training Step 140, Validation Score is approximately 0.46. ### Key Observations * Both models show an increasing trend in validation score with increasing training steps, indicating learning. * The MEL model consistently achieves a slightly higher validation score than the GRPO model, especially in the later stages of training (after step 80). * The GRPO model exhibits more volatility in its validation score, with larger fluctuations between training steps. * The MEL model reaches its peak validation score at the final training step (140). ### Interpretation The chart suggests that the MEL model is performing better than the GRPO model on the benchmark task, as evidenced by its consistently higher validation scores. The increasing trend for both models indicates that both are learning from the training data. The fluctuations in the GRPO model's validation score could indicate instability during training or sensitivity to specific training batches. The fact that MEL continues to improve until the final training step suggests that further training might yield even better results. The "Benchmark: Average" title implies that the validation scores are averaged across a set of benchmark tests, providing a more robust measure of model performance. The data suggests that MEL is a more stable and effective model for this particular benchmark.