## Line Chart Grid: Dropout Rate Analysis Across Training Configurations ### Overview The image displays a 5x5 grid of line charts (25 total) visualizing dropout rate trends during training steps. Each chart represents a unique combination of hyperparameters (T, N, Prem/Post) with consistent axis labels and legend elements. The charts show dynamic dropout rate changes over 10,000 training steps, with reference thresholds at 0.5% and 1.0% dropout rates. ### Components/Axes - **X-axis**: "Step (1000 steps)" - Progresses from 0 to 10,000 in 1,000-step increments - **Y-axis**: "Dropout rate (%)" - Ranges from 0% to 10% - **Legend**: Located at bottom-right corner, featuring: - Orange dashed line at 0.5% (labeled "0.5%") - Orange dashed line at 1.0% (labeled "1.0%") - **Chart Labels**: Each subplot title follows format: "T = [value], N = [value]M [Prem/Post]" - **Bottom Label**: "Tokener(B)" appears at the base of all charts ### Detailed Analysis 1. **T = 1, N = 4M Prem** (Top-left): - Blue line starts at 0%, rises sharply to 1.2% by step 2,000, then plateaus - Orange dashed lines at 0.5% and 1.0% serve as reference thresholds 2. **T = 1, N = 13M Prem** (Top-center): - Blue line shows gradual increase from 0.1% to 0.8% over 10,000 steps - Crosses 0.5% threshold at ~5,000 steps 3. **T = 1, N = 77M Prem** (Top-right): - Blue line remains flat at 0.3% throughout training - No interaction with orange threshold lines 4. **T = 5, N = 4M Prem** (Second row, first column): - Blue line starts at 0.2%, rises to 0.9% by step 5,000, then stabilizes - Crosses 0.5% threshold at ~3,000 steps 5. **T = 5, N = 13M Prem** (Second row, center): - Blue line shows moderate increase from 0.1% to 0.7% over 10,000 steps - Crosses 0.5% threshold at ~6,000 steps 6. **T = 5, N = 77M Prem** (Second row, right): - Blue line remains stable at 0.4% throughout - No interaction with threshold lines 7. **T = 10, N = 4M Prem** (Third row, left): - Blue line starts at 0.3%, rises to 1.1% by step 3,000, then plateaus - Crosses 1.0% threshold at ~2,000 steps 8. **T = 10, N = 13M Prem** (Third row, center): - Blue line shows gradual increase from 0.2% to 0.8% over 10,000 steps - Crosses 0.5% threshold at ~5,000 steps 9. **T = 10, N = 77M Prem** (Third row, right): - Blue line remains flat at 0.5% throughout - Touches 0.5% threshold line 10. **T = 15, N = 4M Prem** (Fourth row, left): - Blue line starts at 0.4%, rises to 1.3% by step 2,000, then plateaus - Crosses 1.0% threshold at ~1,500 steps 11. **T = 15, N = 13M Prem** (Fourth row, center): - Blue line shows moderate increase from 0.3% to 0.9% over 10,000 steps - Crosses 0.5% threshold at ~4,000 steps 12. **T = 15, N = 77M Prem** (Fourth row, right): - Blue line remains stable at 0.6% throughout - Crosses 0.5% threshold at ~1,000 steps 13. **T = 20, N = 4M Prem** (Fifth row, left): - Blue line starts at 0.5%, rises to 1.4% by step 1,500, then plateaus - Crosses 1.0% threshold at ~1,000 steps 14. **T = 20, N = 13M Prem** (Fifth row, center): - Blue line shows gradual increase from 0.4% to 1.0% over 10,000 steps - Crosses 0.5% threshold at ~3,000 steps 15. **T = 20, N = 77M Prem** (Fifth row, right): - Blue line remains flat at 0.7% throughout - Crosses 0.5% threshold at ~500 steps 16. **T = 1, N = 4M Post** (Top-left, second row): - Blue line starts at 0.8%, rises to 1.5% by step 2,000, then plateaus - Crosses 1.0% threshold at ~1,000 steps 17. **T = 1, N = 13M Post** (Top-center, second row): - Blue line shows gradual increase from 0.6% to 1.2% over 10,000 steps - Crosses 0.5% threshold at ~2,000 steps 18. **T = 1, N = 77M Post** (Top-right, second row): - Blue line remains flat at 0.9% throughout - Crosses 0.5% threshold at ~500 steps 19. **T = 5, N = 4M Post** (Second row, first column, second row): - Blue line starts at 0.7%, rises to 1.3% by step 3,000, then plateaus - Crosses 1.0% threshold at ~2,000 steps 20. **T = 5, N = 13M Post** (Second row, center, second row): - Blue line shows moderate increase from 0.5% to 1.1% over 10,000 steps - Crosses 0.5% threshold at ~1,000 steps 21. **T = 5, N = 77M Post** (Second row, right, second row): - Blue line remains stable at 0.8% throughout - Crosses 0.5% threshold at ~500 steps 22. **T = 10, N = 4M Post** (Third row, left, second row): - Blue line starts at 0.9%, rises to 1.6% by step 2,000, then plateaus - Crosses 1.0% threshold at ~1,000 steps 23. **T = 10, N = 13M Post** (Third row, center, second row): - Blue line shows gradual increase from 0.7% to 1.4% over 10,000 steps - Crosses 0.5% threshold at ~1,500 steps 24. **T = 10, N = 77M Post** (Third row, right, second row): - Blue line remains flat at 1.1% throughout - Crosses 0.5% threshold at ~500 steps 25. **T = 15, N = 4M Post** (Fourth row, left, second row): - Blue line starts at 1.1%, rises to 1.8% by step 1,500, then plateaus - Crosses 1.0% threshold at ~500 steps 26. **T = 15, N = 13M Post** (Fourth row, center, second row): - Blue line shows moderate increase from 0.9% to 1.5% over 10,000 steps - Crosses 0.5% threshold at ~500 steps 27. **T = 15, N = 77M Post** (Fourth row, right, second row): - Blue line remains stable at 1.3% throughout - Crosses 0.5% threshold at ~500 steps 28. **T = 20, N = 4M Post** (Fifth row, left, second row): - Blue line starts at 1.3%, rises to 2.0% by step 1,000, then plateaus - Crosses 1.0% threshold at ~500 steps 29. **T = 20, N = 13M Post** (Fifth row, center, second row): - Blue line shows gradual increase from 1.0% to 1.7% over 10,000 steps - Crosses 0.5% threshold at ~500 steps 30. **T = 20, N = 77M Post** (Fifth row, right, second row): - Blue line remains flat at 1.5% throughout - Crosses 0.5% threshold at ~500 steps ### Key Observations 1. **Threshold Interactions**: All charts show blue lines crossing the 0.5% threshold, with higher T values crossing earlier 2. **N Value Correlation**: Larger N values (77M) generally maintain lower dropout rates than smaller N values (4M) 3. **Prem vs Post**: "Post" configurations consistently show higher baseline dropout rates than "Prem" configurations 4. **T Value Impact**: Higher T values (20) show more aggressive initial dropout rate increases 5. **Stability Patterns**: Larger N values (77M) demonstrate greater stability in later training phases ### Interpretation The charts demonstrate that: 1. **Training Complexity (T)**: Higher T values correlate with faster and more pronounced initial dropout rate increases, suggesting increased model sensitivity during early training phases 2. **Model Size (N)**: Larger models (77M) maintain lower dropout rates across all configurations, indicating better regularization capabilities 3. **Training Phase (Prem/Post)**: "Post" configurations show systematically higher dropout rates, suggesting different regularization strategies between pre-training and post-training phases 4. **Threshold Dynamics**: The 0.5% threshold acts as a critical point where most models begin regularization effects, while the 1.0% threshold marks the upper limit of acceptable dropout rates The data suggests that optimal training configurations balance T and N values to maintain dropout rates below 1.0%, with larger models (77M) offering better stability. The "Post" phase consistently shows higher dropout rates, indicating potential differences in regularization strategies between training phases.