Datasets:

FineEnvs
/

data-agent-experiment-results

---
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](https://huggingface.co/spaces/HuggingEnvs/data-agent-training-comparison-trackio) continues updating.

## Latest update

[September 16, 19:49 UTC: live eval progress and failure diagnosis](updates/2026-09-16-1950/REPORT.md). Includes recovery jobs, transport failures, and the measured OpenCode output-truncation regression.

[Earlier evaluation plot and GPU allocation update](updates/2026-09-16-evening/REPORT.md).

## Code and reproduction

| Component | PR | Code |
| --- | --- | --- |
| OpenEnv × Harbor | [OpenEnv #1036](https://github.com/openenv/OpenEnv/pull/1036) | [harbor-integration](https://github.com/adithya-s-k/OpenEnv/tree/harbor-integration) |
| TRL AsyncGRPO | [TRL #6947](https://github.com/huggingface/trl/pull/6947) | [async-grpo-harbor-example](https://github.com/adithya-s-k/trl/tree/async-grpo-harbor-example) |
| Data Agent environments and recipes | [HuggingEnvs #7](https://github.com/adithya-s-k/HuggingEnvs/pull/7) | [04-data-agent](https://github.com/adithya-s-k/HuggingEnvs/tree/04-data-agent/04-data-agent) |

- [Reproduce locally or with HF Jobs/Spaces](https://github.com/adithya-s-k/HuggingEnvs/blob/04-data-agent/04-data-agent/reproduce.md)
- [Training scripts](https://github.com/adithya-s-k/HuggingEnvs/tree/04-data-agent/04-data-agent/train) · [Evaluation scripts](https://github.com/adithya-s-k/HuggingEnvs/tree/04-data-agent/04-data-agent/eval) · [HF Jobs/Spaces runtime](https://github.com/adithya-s-k/HuggingEnvs/tree/04-data-agent/04-data-agent/hf) · [vLLM serving](https://github.com/adithya-s-k/HuggingEnvs/tree/04-data-agent/04-data-agent/serve)
- [Native OpenCode](https://github.com/adithya-s-k/HuggingEnvs/tree/04-data-agent/04-data-agent/envs/blackbox-opencode) · [SETA whitebox](https://github.com/adithya-s-k/HuggingEnvs/tree/04-data-agent/04-data-agent/envs/whitebox-bash) · [Harbor service](https://github.com/adithya-s-k/OpenEnv/tree/harbor-integration/src/openenv/harbor)
- [Exact source/model/task pins](https://github.com/adithya-s-k/HuggingEnvs/blob/04-data-agent/04-data-agent/hf/configs/sources.json) · [Dependency locks](https://github.com/adithya-s-k/HuggingEnvs/tree/04-data-agent/04-data-agent/hf/locks)
- [TRL rollout-weighting issue #7206](https://github.com/huggingface/trl/issues/7206)

## Public environments and dashboards

| Service | Space | App |
| --- | --- | --- |
| Harbor blackbox | [Repository](https://huggingface.co/spaces/HuggingEnvs/data-agent-blackbox-harbor-env) | [Open](https://huggingenvs-data-agent-blackbox-harbor-env.hf.space/) |
| Native OpenCode blackbox | [Repository](https://huggingface.co/spaces/HuggingEnvs/data-agent-blackbox-opencode-env) | [Open](https://huggingenvs-data-agent-blackbox-opencode-env.hf.space/) |
| SETA whitebox | [Repository](https://huggingface.co/spaces/HuggingEnvs/data-agent-seta-whitebox-env) | [Open](https://huggingenvs-data-agent-seta-whitebox-env.hf.space/) |
| Consolidated Trackio | [Repository](https://huggingface.co/spaces/HuggingEnvs/data-agent-training-comparison-trackio) | [Open](https://huggingenvs-data-agent-training-comparison-trackio.hf.space/) |
| Original Trackio | [Repository](https://huggingface.co/spaces/AdithyaSK/multi4-qwen35-2b-trackio) | [Open](https://adithyask-multi4-qwen35-2b-trackio.hf.space/) |

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 × harness × difficulty report](comparison/REPORT.md)
- [Score CSV](comparison/checkpoint_scores.csv) · [Metrics/provenance JSON](comparison/snapshot.json) · [Dashboard event export](comparison/events.jsonl)
- [PNG](comparison/comparison.png) · [SVG](comparison/comparison.svg) · [PDF](comparison/comparison.pdf)
- [SETA final checkpoint-150 receipt](seta/checkpoint-150.json)
- [Validation report](validation/validation.md) · [Smoke evidence](https://huggingface.co/datasets/HuggingEnvs/data-agent-experiment-results/tree/main/validation/qualification)
- [Snapshot file hashes and capture time](snapshot-manifest.json) · [Publication/access verification](publication.json)

![Checkpoint comparison](comparison/comparison.png)

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

- [Pinned base model](https://huggingface.co/Qwen/Qwen3.5-2B/tree/15852e8c16360a2fea060d615a32b45270f8a8fc)
- [Training dataset](https://huggingface.co/datasets/HuggingEnvs/data-agent-harbor-train)
- [Pinned test source](https://huggingface.co/datasets/HuggingEnvs/data-agent-harbor-test/tree/291c8e50bfa7e34135090071ecaa0686bd99d06f)
- [Frozen task/runtime reproduction bundle](https://huggingface.co/datasets/HuggingEnvs/data-agent-daytona-repro)
- [Public run artifacts and checkpoints](https://huggingface.co/buckets/HuggingEnvs/data-agent-artifacts-public)
- [Consolidated Trackio storage](https://huggingface.co/buckets/HuggingEnvs/data-agent-training-comparison-trackio)
- [Earlier per-run Trackio storage](https://huggingface.co/buckets/HuggingEnvs/data-agent-daytona-trackio)

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

- [Provider/TiTO qualification guide](https://github.com/adithya-s-k/OpenEnv/blob/harbor-integration/docs/source/guides/harbor-provider-qualification.md)
- [29-adapter report](qualification/final-v1/REPORT.md) · [Evidence matrix](qualification/final-v1/matrix.json) · [Completion audit](qualification/final-v1/completion-audit.md)
- [Qualification handoff](qualification/HANDOFF.md)
- [Experiment timeline](history/TIMELINE.md)

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](https://huggingface.co/jobs/HuggingEnvs/6aa9b6c9f76d6a098a70e786) |
| SETA checkpoint-150 eval | [6aaa7488f76d6a098a710836](https://huggingface.co/jobs/HuggingEnvs/6aaa7488f76d6a098a710836) |
| Harbor GPU qualification | [6aaa8a06f76d6a098a710a5e](https://huggingface.co/jobs/HuggingEnvs/6aaa8a06f76d6a098a710a5e) |
| Native OpenCode GPU qualification | [6aaa7b875527934177ee9d15](https://huggingface.co/jobs/HuggingEnvs/6aaa7b875527934177ee9d15) |
| SETA GPU qualification | [6aaa7f915527934177ee9da4](https://huggingface.co/jobs/HuggingEnvs/6aaa7f915527934177ee9da4) |

## Citation

```bibtex
@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}
}
```

	---
	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](https://huggingface.co/spaces/HuggingEnvs/data-agent-training-comparison-trackio) continues updating.

	## Latest update

	[September 16, 19:49 UTC: live eval progress and failure diagnosis](updates/2026-09-16-1950/REPORT.md). Includes recovery jobs, transport failures, and the measured OpenCode output-truncation regression.

	[Earlier evaluation plot and GPU allocation update](updates/2026-09-16-evening/REPORT.md).

	## Code and reproduction

	\| Component \| PR \| Code \|
	\| --- \| --- \| --- \|
	\| OpenEnv × Harbor \| [OpenEnv #1036](https://github.com/openenv/OpenEnv/pull/1036) \| [harbor-integration](https://github.com/adithya-s-k/OpenEnv/tree/harbor-integration) \|
	\| TRL AsyncGRPO \| [TRL #6947](https://github.com/huggingface/trl/pull/6947) \| [async-grpo-harbor-example](https://github.com/adithya-s-k/trl/tree/async-grpo-harbor-example) \|
	\| Data Agent environments and recipes \| [HuggingEnvs #7](https://github.com/adithya-s-k/HuggingEnvs/pull/7) \| [04-data-agent](https://github.com/adithya-s-k/HuggingEnvs/tree/04-data-agent/04-data-agent) \|

	- [Reproduce locally or with HF Jobs/Spaces](https://github.com/adithya-s-k/HuggingEnvs/blob/04-data-agent/04-data-agent/reproduce.md)
	- [Training scripts](https://github.com/adithya-s-k/HuggingEnvs/tree/04-data-agent/04-data-agent/train) · [Evaluation scripts](https://github.com/adithya-s-k/HuggingEnvs/tree/04-data-agent/04-data-agent/eval) · [HF Jobs/Spaces runtime](https://github.com/adithya-s-k/HuggingEnvs/tree/04-data-agent/04-data-agent/hf) · [vLLM serving](https://github.com/adithya-s-k/HuggingEnvs/tree/04-data-agent/04-data-agent/serve)
	- [Native OpenCode](https://github.com/adithya-s-k/HuggingEnvs/tree/04-data-agent/04-data-agent/envs/blackbox-opencode) · [SETA whitebox](https://github.com/adithya-s-k/HuggingEnvs/tree/04-data-agent/04-data-agent/envs/whitebox-bash) · [Harbor service](https://github.com/adithya-s-k/OpenEnv/tree/harbor-integration/src/openenv/harbor)
	- [Exact source/model/task pins](https://github.com/adithya-s-k/HuggingEnvs/blob/04-data-agent/04-data-agent/hf/configs/sources.json) · [Dependency locks](https://github.com/adithya-s-k/HuggingEnvs/tree/04-data-agent/04-data-agent/hf/locks)
	- [TRL rollout-weighting issue #7206](https://github.com/huggingface/trl/issues/7206)

	## Public environments and dashboards

	\| Service \| Space \| App \|
	\| --- \| --- \| --- \|
	\| Harbor blackbox \| [Repository](https://huggingface.co/spaces/HuggingEnvs/data-agent-blackbox-harbor-env) \| [Open](https://huggingenvs-data-agent-blackbox-harbor-env.hf.space/) \|
	\| Native OpenCode blackbox \| [Repository](https://huggingface.co/spaces/HuggingEnvs/data-agent-blackbox-opencode-env) \| [Open](https://huggingenvs-data-agent-blackbox-opencode-env.hf.space/) \|
	\| SETA whitebox \| [Repository](https://huggingface.co/spaces/HuggingEnvs/data-agent-seta-whitebox-env) \| [Open](https://huggingenvs-data-agent-seta-whitebox-env.hf.space/) \|
	\| Consolidated Trackio \| [Repository](https://huggingface.co/spaces/HuggingEnvs/data-agent-training-comparison-trackio) \| [Open](https://huggingenvs-data-agent-training-comparison-trackio.hf.space/) \|
	\| Original Trackio \| [Repository](https://huggingface.co/spaces/AdithyaSK/multi4-qwen35-2b-trackio) \| [Open](https://adithyask-multi4-qwen35-2b-trackio.hf.space/) \|

	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 × harness × difficulty report](comparison/REPORT.md)
	- [Score CSV](comparison/checkpoint_scores.csv) · [Metrics/provenance JSON](comparison/snapshot.json) · [Dashboard event export](comparison/events.jsonl)
	- [PNG](comparison/comparison.png) · [SVG](comparison/comparison.svg) · [PDF](comparison/comparison.pdf)
	- [SETA final checkpoint-150 receipt](seta/checkpoint-150.json)
	- [Validation report](validation/validation.md) · [Smoke evidence](https://huggingface.co/datasets/HuggingEnvs/data-agent-experiment-results/tree/main/validation/qualification)
	- [Snapshot file hashes and capture time](snapshot-manifest.json) · [Publication/access verification](publication.json)

	![Checkpoint comparison](comparison/comparison.png)

	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

	- [Pinned base model](https://huggingface.co/Qwen/Qwen3.5-2B/tree/15852e8c16360a2fea060d615a32b45270f8a8fc)
	- [Training dataset](https://huggingface.co/datasets/HuggingEnvs/data-agent-harbor-train)
	- [Pinned test source](https://huggingface.co/datasets/HuggingEnvs/data-agent-harbor-test/tree/291c8e50bfa7e34135090071ecaa0686bd99d06f)
	- [Frozen task/runtime reproduction bundle](https://huggingface.co/datasets/HuggingEnvs/data-agent-daytona-repro)
	- [Public run artifacts and checkpoints](https://huggingface.co/buckets/HuggingEnvs/data-agent-artifacts-public)
	- [Consolidated Trackio storage](https://huggingface.co/buckets/HuggingEnvs/data-agent-training-comparison-trackio)
	- [Earlier per-run Trackio storage](https://huggingface.co/buckets/HuggingEnvs/data-agent-daytona-trackio)

	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

	- [Provider/TiTO qualification guide](https://github.com/adithya-s-k/OpenEnv/blob/harbor-integration/docs/source/guides/harbor-provider-qualification.md)
	- [29-adapter report](qualification/final-v1/REPORT.md) · [Evidence matrix](qualification/final-v1/matrix.json) · [Completion audit](qualification/final-v1/completion-audit.md)
	- [Qualification handoff](qualification/HANDOFF.md)
	- [Experiment timeline](history/TIMELINE.md)

	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](https://huggingface.co/jobs/HuggingEnvs/6aa9b6c9f76d6a098a70e786) \|
	\| SETA checkpoint-150 eval \| [6aaa7488f76d6a098a710836](https://huggingface.co/jobs/HuggingEnvs/6aaa7488f76d6a098a710836) \|
	\| Harbor GPU qualification \| [6aaa8a06f76d6a098a710a5e](https://huggingface.co/jobs/HuggingEnvs/6aaa8a06f76d6a098a710a5e) \|
	\| Native OpenCode GPU qualification \| [6aaa7b875527934177ee9d15](https://huggingface.co/jobs/HuggingEnvs/6aaa7b875527934177ee9d15) \|
	\| SETA GPU qualification \| [6aaa7f915527934177ee9da4](https://huggingface.co/jobs/HuggingEnvs/6aaa7f915527934177ee9da4) \|

	## Citation

	```bibtex
	@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}
	}
	```