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laion/a3-rl-DCAgent_exp_rpt_e2egit-large-15-8B
a3-rl-DCAgent_exp_rpt_e2egit-large-15-8B is a machine learning model from laion. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as mit.
RL (GRPO/rloon via SkyRL) checkpoint trained from laion/GLM-47-swesmith-sandboxes-withtests-oracleverified120s-maxeps-131k-fixthink on dataset DCAgent/exprpte2egit-large.
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From the Hugging Face model README
RL (GRPO/rloo_n via SkyRL) checkpoint trained from
laion/GLM-4_7-swesmith-sandboxes-with_tests-oracle_verified_120s-maxeps-131k-fixthink
on dataset DCAgent/exp_rpt_e2egit-large.
This is global_step_15, selected as the best checkpoint by 5-period EMA of
reward/avg_raw_reward (EMA 0.864, raw 0.842). The run trained the full 80 steps
but collapsed late (entropy 0.0961 -> 0.0215 from ~step 56), so an early-mid
checkpoint is correctly the best.
Launch config: hpc/skyrl_yaml/jupiter/56GPU_base.yaml (included as rl_config.yaml).
Training-time Daytona/Harbor rollouts for this run are deferred — the
make_and_upload_trace_dataset script stalled in GPFS I/O (uninterruptible
disk-sleep, 33 min, zero output) and was killed past a 15 min time-box.
The companion dataset will live at
open-athena/a3-rl-DCAgent_exp_rpt_e2egit-large
once re-attempted (no partial upload was created).
training_logs/ contains the per-chain-link metrics_job_*.csv, the merged
metrics_table.csv / vllm_metrics_table.csv, the markdown report
(metrics_report.md), and the reward/turn-count plots. Raw .out logs from
all 10 chain links are included too.