# ablation-pymethods2test-seqnorm-15-8B

RLOO length-bias ablation — **arm1 seqnorm (base)** arm. RL-trained from the
a3 pre-RL base on the `exp_rpt_pymethods2test-large` task set with SkyRL
(RLOO-n advantage estimator, `seq_mean_token_sum_norm_global` loss reduction).

- **Base model:** `laion/GLM-4_7-swesmith-sandboxes-with_tests-oracle_verified_120s-maxeps-131k-fixthink` (a Qwen3-8B SFT)
- **Dataset:** `DCAgent/exp_rpt_pymethods2test-large`
- **Checkpoint:** `global_step_15` (selected by trailing-5 EMA of `reward/avg_raw_reward`, alpha=1/3, over the full chain; max_steps=80, hf_save_interval=5)
- **Training framework:** SkyRL (FSDP2, vLLM), Jupiter GH200

The launch config is included as `rl_config.yaml`.

## Training Traces

Training-time Daytona/Harbor rollouts for this run are uploaded as
a companion dataset:
**[penfever/ablation-pymethods2test-seqnorm](https://huggingface.co/datasets/penfever/ablation-pymethods2test-seqnorm)**

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.
