a3-rl-laion_nemotron-gym-agent-calendar (step 80, 8B)
RL-trained (SkyRL) agent checkpoint, selected by 5-period EMA (alpha=1/3) of
reward/avg_raw_reward across all 80 steps of the training chain.
- Selected checkpoint:
global_step_80(EMA = 0.9785, raw reward at step = 0.9727) - Final-step metrics:
reward/avg_pass_at_8 = 1.0, reachedmax_steps = 80/80(clean exit-0 completion) - Base model: laion/GLM-4_7-swesmith-sandboxes-with_tests-oracle_verified_120s-maxeps-131k-fixthink (Qwen3-8B architecture)
- Training dataset: laion/nemotron-gym-agent-calendar
- Training type: RL (SkyRL)
The launch RL config is included as rl_config.yaml. Parsed training
metrics, plots, and raw logs are under training_logs/.
Training Traces
Training-time Daytona/Harbor rollouts for this run are uploaded as a companion dataset: open-athena/a3-rl-laion_nemotron-gym-agent-calendar
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.