bhoy/agentboard-babyai-v1-v071-four-run-checkpoints

AgentBoard BabyAI v1 Prime-RL Four-Run Checkpoints

This dataset preserves four runs from the v071 experiment series using Qwen/Qwen3.5-9B, Prime-RL 0.7.0 at commit cb74ae2bebe9710b11551970a9661d10116c7179, and the packaged agentboard-babyai-v1-context 0.2.2 Verifiers environment.

Runs

Directory	Algorithm	ECHO user alpha	Exact resume step	Final trainer step	Retained adapters
rlonly/	GRPO	0	95	100	21
echo005/	ECHO	0.05	100	100	23
echo050/	ECHO	0.5	95	100	21
echo100/	ECHO	1.0	100	100	23

Shared settings include:

• Model: Qwen/Qwen3.5-9B
• LoRA: rank 32, alpha 64
• Batch size: 128
• Group size: 8
• Maximum in-flight rollouts: 32
• Sequence length: 6144
• Maximum turns: 20
• Sampling temperature: 0.7
• Maximum completion tokens: 1024
• Qwen thinking: disabled
• Trainer workers: 3
• Inference workers: 1
• Checkpoint interval: 5

Contents

Each run directory contains:

• launch_config.toml: original top-level Prime-RL configuration
• configs/: generated inference, orchestrator, and trainer subconfigs
• logs/: process, trainer-rank, and environment logs
• rollouts/: exported human-readable trajectories through the saved step
• run_default/rollouts/: internal rollout transport state through the saved step
• run_default/checkpoints/: orchestrator progress checkpoints
• run_default/control/: captured run-control state
• lora_adapters/step_N/: every adapter snapshot retained on the rental node
• checkpoints/step_N/trainer/: every full trainer state retained by keep_last = 2
• ADAPTER_STEPS.txt: complete list of available evaluation adapters
• TRAINER_STEPS.txt: complete list of available full trainer checkpoints
• LATEST_RESUMABLE_STEP.txt: checkpoint step to use for that directory
• FINAL_TRAINER_STEP.txt: newest trainer state retained for evaluation
• SOURCE_RUN.txt: original output-directory name

All four runs reached step 100. RL-only and ECHO 0.5 include trainer states at steps 95 and 100. Prime-RL wrote their final trainer states and adapters at step 100 but did not write matching orchestrator progress checkpoints there, so step 95 remains their latest exact resume point. Step 100 is retained as the final trained state for inference or evaluation.

ECHO 0.05 and ECHO 1.0 were resumed from earlier archived checkpoints and completed to step 100. Their archives retain both the earlier trainer states and the final states at steps 95 and 100. Both completed continuations include matching step-100 orchestrator progress checkpoints, making step 100 their latest aligned resume point. Their adapter histories also retain the interruption-point snapshots from the first training attempt in addition to the regular five-step snapshots from the completed continuation.

Trainer states older than the two kept by Prime-RL were already deleted by the run's keep_last = 2 policy. All adapter snapshots that remained on the node are included, including intermediate checkpoint adapters and the final step-99/100 adapters for completed runs.

These training configs did not include a live evaluation environment, so this dataset has no live-eval result logs. Training reward, turns, grounding, truncation, and related curve data are available in logs/orchestrator.log, the environment logs, and the exported rollouts. The retained adapters support running a separate evaluation at each available adapter step.

Resuming

Restore a run directory under the Prime-RL outputs/ directory using the original output name recorded in SOURCE_RUN.txt. Then run the included launch_config.toml with the step recorded in LATEST_RESUMABLE_STEP.txt using Prime-RL's resume option.

The full trainer checkpoint is required for an exact optimizer-state resume. The LoRA adapter alone is sufficient for inference or a separate evaluation, but not for exact training continuation.