35 lines
1.6 KiB
Markdown
35 lines
1.6 KiB
Markdown
|
---
|
||
|
|
base_model: laion/GLM-4_7-swesmith-sandboxes-with_tests-oracle_verified_120s-maxeps-131k-fixthink
|
||
|
|
tags:
|
||
|
|
- rl
|
||
|
|
- skyrl
|
||
|
|
- agentic
|
||
|
|
- swe
|
||
|
|
library_name: transformers
|
||
|
|
---
|
||
|
|
|
||
|
|
# ablation-pymethods2test-shaped-45-8B
|
||
|
|
|
||
|
|
RL (SkyRL GRPO) checkpoint from the **shaped-reward ablation** of the a3-successor
|
||
|
|
study. Reward = shaped pass-ratio (fraction of tests passing, `reward_shaper=pass_ratio`),
|
||
|
|
as opposed to the binary all-tests-pass reward of the a3 series.
|
||
|
|
|
||
|
|
- **Base model:** [laion/GLM-4_7-swesmith-sandboxes-with_tests-oracle_verified_120s-maxeps-131k-fixthink](https://huggingface.co/laion/GLM-4_7-swesmith-sandboxes-with_tests-oracle_verified_120s-maxeps-131k-fixthink) (a Qwen3-8B SFT)
|
||
|
|
- **Training dataset:** [DCAgent/exp_rpt_pymethods2test-large](https://huggingface.co/datasets/DCAgent/exp_rpt_pymethods2test-large)
|
||
|
|
- **Checkpoint:** `global_step_45`, selected as the best checkpoint by **EMA
|
||
|
|
(alpha=1/3, trailing-5 window) of `reward/avg_raw_reward`** computed across
|
||
|
|
the full 80-step training chain (EMA = 0.4712 at step 45).
|
||
|
|
- **Training:** 80 steps total, `hf_save_interval=5`, 14x GH200 nodes on JSC Jupiter.
|
||
|
|
|
||
|
|
The `rl_config.json` in this repo is the exact launch config used for reproducibility.
|
||
|
|
|
||
|
|
## Training Traces
|
||
|
|
|
||
|
|
Training-time Daytona/Harbor rollouts for this run are uploaded as
|
||
|
|
a companion dataset:
|
||
|
|
**[penfever/ablation-pymethods2test-shaped](https://huggingface.co/datasets/penfever/ablation-pymethods2test-shaped)**
|
||
|
|
|
||
|
|
The dataset contains the `last` episode of each trial (per
|
||
|
|
`make_and_upload_trace_dataset --episodes last`) — the same rollouts
|
||
|
|
the policy was trained on after rollback / truncation.
|