23 lines
1.1 KiB
Markdown
23 lines
1.1 KiB
Markdown
# ablation-pymethods2test-seqnorm-15-8B
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RLOO length-bias ablation — **arm1 seqnorm (base)** arm. RL-trained from the
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a3 pre-RL base on the `exp_rpt_pymethods2test-large` task set with SkyRL
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(RLOO-n advantage estimator, `seq_mean_token_sum_norm_global` loss reduction).
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- **Base model:** `laion/GLM-4_7-swesmith-sandboxes-with_tests-oracle_verified_120s-maxeps-131k-fixthink` (a Qwen3-8B SFT)
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- **Dataset:** `DCAgent/exp_rpt_pymethods2test-large`
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- **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)
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- **Training framework:** SkyRL (FSDP2, vLLM), Jupiter GH200
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The launch config is included as `rl_config.yaml`.
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## Training Traces
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Training-time Daytona/Harbor rollouts for this run are uploaded as
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a companion dataset:
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**[penfever/ablation-pymethods2test-seqnorm](https://huggingface.co/datasets/penfever/ablation-pymethods2test-seqnorm)**
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The dataset contains the `last` episode of each trial (per
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`make_and_upload_trace_dataset --episodes last`) — the same rollouts
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the policy was trained on after rollback / truncation.
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