HarleyCooper/Laguna-XS.2-Adaption-Dakota-QA-GRPO
Laguna-XS.2-Adaption-Dakota-QA-GRPO
This repository documents a completed Prime Intellect Hosted Training RL run on the Adaption Labs Dakota-English QA dataset.
Important: at initial publication time this repository is a run card and artifact ledger, not a downloadable PEFT adapter package. Prime lists READY adapters for the run, but the Prime CLI exposes them as deployment targets and R2 checkpoint locations rather than direct Hugging Face weight files. The final adapter deployment attempt returned DEPLOY_FAILED; the step-75 adapter was still DEPLOYING after repeated polling. Weight files will be added here if/when an export path is available.
Current status
- HF repo:
HarleyCooper/Laguna-XS.2-Adaption-Dakota-QA-GRPO - Training platform: Prime Intellect Hosted Training
- Prime run: `bbu5xvdv42zh8o6vp955klhy`
- Smoke run: `l8bs3nhaqitribgit4xoyunu`
- Base model:
poolside/Laguna-XS.2 - Dataset: `HarleyCooper/adaption-dakota-english-qa`
- Prime verifier environment:
harleycooper/adaption-dakota-qa - Run status: COMPLETED
- Started: 2026-06-04 03:12 UTC
- Completed: 2026-06-04 06:41 UTC
- Cost: $0.00 under Prime's free Laguna offer
- Tokens processed: 3.96M
- Samples processed: 12,800
- Problems processed: 1,595
Training configuration
The launch config is included in this repo as `training_config/laguna-full-free.toml`.
Result summary
The main result is that the custom Dakota QA reward produced non-degenerate signal over the full run: reward mean rose from 0.283 to 0.433, character F1 rose from 0.327 to 0.635, Dakota-term reward rose from 0.256 to 0.421, and Prime reported no empty rollouts, no errored rollouts, and no zero-advantage filtering at the final step.
Reward function
The Prime Verifiers environment scores single-turn Dakota-English QA completions with a deterministic continuous reward:
This is deliberately not all-or-nothing. RL needs variance across rollouts, and natural-language dictionary/grammar answers can be partially correct.
Checkpoints and adapters
Prime reported these READY checkpoints/adapters:
Prime checkpoint storage paths are recorded in `analysis/run_summary.json`. They are Prime R2 URLs, not public download URLs.
Inference status
Prime inference is live for the step-75 adapter:
poolside/Laguna-XS.2:h1rwu671te8cmng5rw2p24vfWorking Prime CLI query from WSL:
prime inference chat \
"poolside/Laguna-XS.2:h1rwu671te8cmng5rw2p24vf" \
"Given the verb a-kpa'-spa, what are the forms for I suffer patiently and You suffer patiently?" \
--max-tokens 25000Observed status:
- Step-75 adapter
h1rwu671te8cmng5rw2p24vf: inference works through Prime Inference. - Final adapter
w1n9h644zkiiqjef1ux6jjr4: earlier deployment attempt returnedDEPLOY_FAILED; querying it returned model-not-found. - Direct local weight-file inference is still blocked until Prime exposes/export-downloads the LoRA adapter weights. Current inference is remote Prime-hosted inference from a local WSL terminal.
Initial manual probe note: the adapter responds, but the first checked a-kpa'-spa answer was not yet linguistically correct against the dataset target. Treat this as an available research checkpoint that needs eval, not an authoritative Dakota assistant.
Included files
- `analysis/run_summary.json`: machine-readable run/card summary
- `analysis/prime_metrics_compact.csv`: compact per-step metric table
- `examples/rollouts_step90.md`: human-readable sample completions
- `examples/rollouts_step90.json`: raw Prime rollout sample page
- `training_config/laguna-full-free.toml`: launch config
Intended use
This run is intended for research on verifier-driven RL for historical Dakota-English dictionary and grammar QA. It is useful for studying whether dense, source-derived reward functions can improve Dakota orthography preservation, Dakota term inclusion, and concise dictionary-style answering.
It is not an authoritative Dakota language tool, a replacement for community language expertise, or a production translation system.
Ethical and source notes
The dataset and reward are derived from historical Dakota-English dictionary material and generated QA structure. Historical sources can contain colonial-era framing, extraction errors, orthographic inconsistency, and gaps relative to contemporary language use. Any Dakota-language output should be reviewed with appropriate linguistic and community expertise.
