# Technical Document Extraction: Heatmap Analysis
## 1. Axis Labels and Titles
- **X-Axis (Columns):**
`rank` | `lora_dropout` | `lora_alpha` | `eval/rew_mean/StarGur`
- **Y-Axis (Rows):**
`rank` values: `1` to `10` (increasing downward)
- **Legend:**
Color gradient from **purple (450)** to **yellow (850)**, labeled `eval/rew_mean/StarGur`
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## 2. Key Trends and Data Points
### Heatmap Color Interpretation
- **Purple (450):** Lowest values (bottom-left corner).
- **Yellow (850):** Highest values (top-right corner).
- **Gradient:** Intermediate values transition from purple → orange → yellow.
### Row-Specific Observations
| Rank | lora_dropout | lora_alpha | eval/rew_mean/StarGur |
|------|--------------|------------|-----------------------|
| 1 | 0.0 | 0.0 | 450 |
| 2 | 0.1 | 0.1 | 500 |
| 3 | 0.2 | 0.2 | 550 |
| 4 | 0.3 | 0.3 | 600 |
| 5 | 0.4 | 0.4 | 650 |
| 6 | 0.5 | 0.5 | 700 |
| 7 | 0.6 | 0.6 | 750 |
| 8 | 0.7 | 0.7 | 800 |
| 9 | 0.8 | 0.8 | 850 |
| 10 | 1.0 | 1.0 | 850 |
### Cross-Referenced Trends
1. **lora_dropout & lora_alpha:**
- Values increase linearly from `0.0` (rank 1) to `1.0` (rank 10).
- Color progression matches the legend (purple → yellow).
2. **eval/rew_mean/StarGur:**
- Values increase by `50` per rank (450 → 850).
- Rank 10 has the highest value (`850`), matching the yellow color.
3. **rank Column:**
- Values increase from `1` (top) to `10` (bottom), with no numerical gradient.
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## 3. Component Isolation
### Header
- Column titles: `rank`, `lora_dropout`, `lora_alpha`, `eval/rew_mean/StarGur`.
### Main Chart
- **Structure:**
- 10 rows (ranks 1–10).
- 4 columns (parameters).
- **Color Consistency:**
- All cells align with the legend (e.g., rank 10, lora_dropout=1.0 is yellow).
### Legend
- Positioned on the **right** of the heatmap.
- Color bar spans `450` (purple) to `850` (yellow).
---
## 4. Spatial Grounding
- **Legend Position:** Right-aligned, adjacent to the heatmap.
- **Color Matching:**
- Example: Rank 10, lora_dropout=1.0 → yellow (850) ✅
- Example: Rank 1, lora_dropout=0.0 → purple (450) ✅
---
## 5. Final Data Table
| Rank | lora_dropout | lora_alpha | eval/rew_mean/StarGur |
|------|--------------|------------|-----------------------|
| 1 | 0.0 | 0.0 | 450 |
| 2 | 0.1 | 0.1 | 500 |
| 3 | 0.2 | 0.2 | 550 |
| 4 | 0.3 | 0.3 | 600 |
| 5 | 0.4 | 0.4 | 650 |
| 6 | 0.5 | 0.5 | 700 |
| 7 | 0.6 | 0.6 | 750 |
| 8 | 0.7 | 0.7 | 800 |
| 9 | 0.8 | 0.8 | 850 |
| 10 | 1.0 | 1.0 | 850 |
---
## 6. Conclusion
The heatmap demonstrates a **linear relationship** between `rank`, `lora_dropout`, `lora_alpha`, and `eval/rew_mean/StarGur`. Higher ranks correlate with increased parameter values and evaluation metrics, with the strongest values (`850`) concentrated in the top-right quadrant. All color-to-value mappings align with the legend.
