Checkpoint selection
global_step_10 was selected by the trailing-5 reward EMA (alpha = 1/3) over the full restart chain -- the highest-EMA aligned checkpoint (EMA 0.2094; step reward 0.2344; pass@8 0.4516; entropy 0.1184), per parse_skyrl_metrics.py --run_dir --save_every 5.
Run status -- terminated near-horizon (elevated entropy)
Terminated by the owner at step 76/80. Reward peaked early (step 10) then declined as policy entropy climbed ~8x (0.11 -> 0.90) -- approaching the campaign entropy stop rule (10x). Step 10 is the best saved checkpoint. Not a horizon result.
See training_logs/ for metrics.csv, report.md, reward_plot.png, rl_config.json, and the gzipped .out chain.
Training Traces
open-athena/tt-x2_clip-hi0p05 -- 1/4 systematic subsample (every 4th trial, uniform coverage; 24,125 rows from ~103k trials across 4 run roots). The full set was GPFS-read-bound on the Jupiter login node; subsample is a documented deviation for this terminated (76/80) arm.