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metadata
pretty_name: Data Agent training and evaluation artifacts
language:
  - en
tags:
  - reinforcement-learning
  - openenv
  - harbor
  - grpo
  - evaluation

Data Agent: public artifact index

Qwen3.5-2B training with Harbor multi-harness, native OpenCode, Harbor OpenCode-only and SETA. This is a frozen report release from September 16, 2026. The live Trackio dashboard continues updating.

Latest update

September 16, 19:49 UTC: live eval progress and failure diagnosis. Includes recovery jobs, transport failures, and the measured OpenCode output-truncation regression.

Earlier evaluation plot and GPU allocation update.

Code and reproduction

Component PR Code
OpenEnv × Harbor OpenEnv #1036 harbor-integration
TRL AsyncGRPO TRL #6947 async-grpo-harbor-example
Data Agent environments and recipes HuggingEnvs #7 04-data-agent

Public environments and dashboards

Service Space App
Harbor blackbox Repository Open
Native OpenCode blackbox Repository Open
SETA whitebox Repository Open
Consolidated Trackio Repository Open
Original Trackio Repository Open

Trackio's consolidated project is qwen35-2b-harbor-vs-opencode-20260916. It contains training, checkpoint pass@1, harness, difficulty and throughput metrics for the three async configurations. SETA's final result is linked below.

Results and figures

Checkpoint comparison

Async checkpoint evaluations use 250 fixed tasks × four harnesses × pass@1. SETA uses its native 250-task protocol. Baselines and protocols are labelled separately; their scores are not interchangeable. Incomplete evaluations are excluded from checkpoint curves. This is an observational comparison with documented infrastructure/recipe differences.

Datasets, bundles and checkpoints

The public artifact bucket mirrors the existing remote run archive. Native OpenCode checkpoints are under 20260915-hf/jobs/local-train-opencode-80626/run/; SETA's final checkpoint is 20260915-hf/jobs/train-whitebox-1789507273/run/checkpoint-150/. Qualification checkpoints are under data-agent-reproduction-20260916/jobs/. Local-only Harbor checkpoint directories are not uploaded by this visibility release; their training/evaluation metrics are included in the reports.

Credential-bearing traces have redacted public derivatives, and private sandbox session/cache files are omitted. Original raw evidence is preserved unchanged in private storage. The bucket's publication/redaction-manifest.json lists every affected path. Redacted captures cannot be used for exact-token replay or TiTO qualification.

Qualification and history

The frozen qualification reports contain local provenance paths. Those paths identify retained originals; they are not public download URLs.

Job provenance

HF Jobs console pages may require organization access. Public logs/checkpoints are in the artifact bucket above.

Run Job
SETA trainer, stopped after checkpoint 150 6aa9b6c9f76d6a098a70e786
SETA checkpoint-150 eval 6aaa7488f76d6a098a710836
Harbor GPU qualification 6aaa8a06f76d6a098a710a5e
Native OpenCode GPU qualification 6aaa7b875527934177ee9d15
SETA GPU qualification 6aaa7f915527934177ee9da4

Citation

@misc{fineenvs,
  author = {Kolavi, Adithya S},
  title  = {FineEnvs: Open Source RL Environments for LLM Agents},
  year   = {2026},
  url    = {https://github.com/adithya-s-k/FineEnvs}
}