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67ba414 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 | # Main Table Runs
This doc covers the experiment scripts for the main performance table.
## Scripts Overview
| Script | Purpose | Variables |
|--------|---------|-----------|
| `run_main_table_diff_algo.sh` | Compare algorithms | PPO, DAPO, GRPO, DrGRPO; `filter`/`nofilter` |
| `run_main_table_diff_size.sh` | Compare model sizes | 0.5B, 1.5B, 3B, 7B; `filter`/`nofilter` |
| `run_main_table_diff_model.sh` | Compare model types | Instruct, Reasoning; `filter`/`nofilter` |
All scripts run experiments across 5 tasks (sokoban, frozenlake, webshop, metamathqa, countdown) with filter/nofilter settings.
---
## 1. Different Algorithms (`run_main_table_diff_algo.sh`)
Compares PPO/DAPO/GRPO/DrGRPO using Qwen2.5-3B.
```bash
bash scripts/runs/run_main_table_diff_algo.sh --steps 400
```
Options:
- `--steps` (default: `400`)
- `--tasks` (comma list; default: `sokoban,frozenlake,webshop,metamathqa,countdown`)
- `--algos` (comma list; default: `PPO,DAPO,GRPO,DrGRPO`)
- `--gpus` (comma list; auto-detect if omitted)
- `--gpus-per-exp` (default: `1`)
- `--cooldown` (seconds; default: `30`)
- `--gpu-memory-utilization` (default: `0.3`)
- `--filters` (comma list; `filter`, `nofilter`, or `all`; default: `all`)
Examples:
```bash
# Run one `filter` and one `nofilter` PPO experiment on 4xH100 each
bash scripts/runs/run_main_table_diff_algo.sh --steps 400 --tasks sokoban --gpus-per-exp 4 --gpu-memory-utilization 0.3 --filters all --gpus 0,1,2,3,4,5,6,7 --algos PPO
```
Outputs:
- Per-task logs: `logs/diff_algo_<task>_Qwen2.5-3B/`
- Summary log: `logs/diff_algo_Qwen2.5-3B.log`
---
## 2. Different Model Sizes (`run_main_table_diff_size.sh`)
Compares Qwen2.5 models of different sizes using PPO.
```bash
bash scripts/runs/run_main_table_diff_size.sh --steps 400
```
Options:
- `--steps` (default: `400`)
- `--tasks` (comma list; default: `sokoban,frozenlake,webshop,metamathqa,countdown`)
- `--models` (comma list; default: `Qwen2.5-0.5B,Qwen2.5-1.5B,Qwen2.5-3B,Qwen2.5-7B`)
- `--gpus` (comma list; auto-detect if omitted)
- `--gpus-per-exp` (default: `1`)
- `--cooldown` (seconds; default: `30`)
- `--gpu-memory-utilization` (default: `0.3`)
- `--filters` (comma list; `filter`, `nofilter`, or `all`; default: `all`)
Examples:
```bash
# Run a single 1.5B/filter experiment on 4xH100
bash scripts/runs/run_main_table_diff_size.sh --steps 400 --tasks sokoban --gpus-per-exp 4 --gpu-memory-utilization 0.3 --filters filter --gpus 0,1,2,3 --models Qwen2.5-1.5B
# Quick test with smallest model
bash scripts/runs/run_main_table_diff_size.sh --steps 5 --models Qwen2.5-0.5B --tasks sokoban
```
Outputs:
- Per-task logs: `logs/diff_size_<task>/`
- Summary log: `logs/diff_size_PPO.log`
---
## 3. Different Model Types (`run_main_table_diff_model.sh`)
Compares different model types (Instruct, Reasoning) using PPO.
```bash
bash scripts/runs/run_main_table_diff_model.sh --steps 400
```
Options:
- `--steps` (default: `400`)
- `--tasks` (comma list; default: `sokoban,frozenlake,webshop,metamathqa,countdown`)
- `--models` (comma list; default: `Qwen2.5-3B-Instruct`)
- `--gpus` (comma list; auto-detect if omitted)
- `--gpus-per-exp` (default: `1`)
- `--cooldown` (seconds; default: `30`)
- `--gpu-memory-utilization` (default: `0.3`)
- `--filters` (comma list; `filter`, `nofilter`, or `all`; default: `all`)
Examples:
```bash
# Run one `filter` and one `nofilter` Llama-3.2-3B-Instruct experiment on 4xH100 each
bash scripts/runs/run_main_table_diff_model.sh --steps 400 --tasks sokoban --gpus-per-exp 4 --gpu-memory-utilization 0.5 --filters all --gpus 0,1,2,3,4,5,6,7 --models=meta-llama/Llama-3.2-3B-Instruct
```
Outputs:
- Per-task logs: `logs/diff_model_<task>/`
- Summary log: `logs/diff_model_PPO.log`
---
## Common Notes
- Effective rollout filter config for main-table runs:
- `rollout_filter_strategy=top_p`
- `rollout_filter_top_p_prob_mode=softmax`
- `rollout_filter_type=largest`
- `rollout_filter_metric=reward_variance`
- `rollout_filter_include_zero=True`
- Filter mode mapping:
- `filter`: `top_p=0.9`, `include_zero=True`
- `nofilter`: `top_p=1.0`, `include_zero=True`
- Because `include_zero=True`, `nofilter` (`top_p=1.0`) keeps all groups; it does not disable the filter code path, but it is effectively "no filtering" for the batch
- You can run a single experiment on `4xH100` by setting `--gpus-per-exp 4` and passing a 4-GPU list, or run one `filter` and one `nofilter` experiment in parallel by passing an 8-GPU list
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