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Model: laion/ablation-pymethods2test-seqnorm-15-8B
Source: Original Platform

README.md

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+# 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.