## Bar Charts: Qwen2.5-7B-Instruct Performance Comparison
### Overview
Three side-by-side bar charts compare the performance of two configurations ("Base Model + Tools" and "ARTIST") across four datasets (AMC, AIME, Olympiad, MATH 500) using three metrics: Reward Score, Tool Call, and Response Length. The charts use light blue (#ADD8E6) for "Base Model + Tools" and dark blue (#00008B) for "ARTIST".
### Components/Axes
1. **X-Axes (Datasets)**:
- AMC
- AIME
- Olympiad
- MATH 500
- Positioned at the bottom of each chart, evenly spaced.
2. **Y-Axes**:
- **Left Chart (Reward Score)**: 0.0 to 4.0 in 0.5 increments.
- **Middle Chart (Tool Call)**: 0.0 to 4.5 in 0.5 increments.
- **Right Chart (Response Length)**: 0 to 8000 in 1000 increments.
3. **Legends**:
- Located in the top-right corner of each chart.
- Light blue (#ADD8E6) = "Base Model + Tools"
- Dark blue (#00008B) = "ARTIST"
4. **Bar Structure**:
- Two bars per dataset (one for each configuration).
- Bars are grouped by dataset, with "Base Model + Tools" on the left and "ARTIST" on the right.
### Detailed Analysis
#### Reward Score
- **AMC**:
- Base Model + Tools: ~0.8
- ARTIST: ~2.7
- **AIME**:
- Base Model + Tools: ~0.4
- ARTIST: ~1.7
- **Olympiad**:
- Base Model + Tools: ~2.4
- ARTIST: ~2.6
- **MATH 500**:
- Base Model + Tools: ~3.0
- ARTIST: ~3.2
#### Tool Call
- **AMC**:
- Base Model + Tools: ~1.0
- ARTIST: ~3.2
- **AIME**:
- Base Model + Tools: ~0.3
- ARTIST: ~3.2
- **Olympiad**:
- Base Model + Tools: ~3.2
- ARTIST: ~2.9
- **MATH 500**:
- Base Model + Tools: ~4.3
- ARTIST: ~3.0
#### Response Length
- **AMC**:
- Base Model + Tools: ~2500
- ARTIST: ~4200
- **AIME**:
- Base Model + Tools: ~3000
- ARTIST: ~6700
- **Olympiad**:
- Base Model + Tools: ~3200
- ARTIST: ~3900
- **MATH 500**:
- Base Model + Tools: ~3000
- ARTIST: ~3000
### Key Observations
1. **Reward Score**:
- ARTIST outperforms Base Model + Tools in AMC (+2.9) and AIME (+1.3).
- Olympiad shows minimal difference (+0.2).
- MATH 500 has a small ARTIST advantage (+0.2).
2. **Tool Call**:
- Base Model + Tools dominates in Olympiad (+0.3) and MATH 500 (+1.3).
- ARTIST matches Base Model in AMC and AIME but uses more tools.
3. **Response Length**:
- ARTIST generates 68% longer responses in AIME.
- MATH 500 shows equal response lengths despite similar Tool Call scores.
### Interpretation
The data reveals task-specific performance patterns:
- **ARTIST** excels in AMC and AIME (likely reasoning-heavy tasks) with significantly higher Reward Scores and longer responses.
- **Base Model + Tools** performs better in Olympiad and MATH 500 (possibly math/logic tasks), using more tools effectively.
- The equal response lengths in MATH 500 suggest similar processing depth despite identical Tool Call scores.
- ARTIST's longer responses in AIME (+3700) may indicate over-engagement with tools, potentially reducing efficiency.
This suggests that while ARTIST generally demonstrates superior capability, the Base Model + Tools configuration may be more optimal for specific task types. The response length metric highlights potential trade-offs between thoroughness and efficiency.
