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HarleyCooper/Laguna-XS.2-Adaption-Dakota-QA-GRPO

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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

SettingValue
max steps100
completed latest step99
batch size128
rollouts per example8
max completion tokens768
learning rate1e-4
env dataset limitfull dataset, max_examples = -1
eval fraction0.10
eval examples256

The launch config is included in this repo as `training_config/laguna-full-free.toml`.

Result summary

MetricStep 0Step 99
reward mean0.2833000.432624
reward max0.5028060.652041
character-F1 reward0.3265650.635267
Dakota-term reward0.2555160.420664
keyword reward0.4521240.367710
length reward0.5718490.924520
zero-advantage filter0.00.0
empty rollouts0.00.0
errored rollouts0.00.0

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:

ComponentWeightPurpose
exact normalized match20%Rewards exact target-answer reproduction when it happens
Dakota term coverage30%Rewards correct Dakota forms and orthography
character F125%Rewards close overlap with the reference answer
keyword coverage15%Rewards semantic/lexical overlap with target answer keywords
length/readability10%Penalizes empty, extremely short, or rambling responses

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:

StepCheckpoint IDAdapter IDStatusSize
50h0y0un58kea8uro0kqkv1zuzdjzuko6ckwuyfgj6p9c6g10sREADY18.5 GB
75xq30oegs88b6jgk2l77sx1qbh1rwu671te8cmng5rw2p24vfREADY18.5 GB
final—w1n9h644zkiiqjef1ux6jjr4READY in deployments list—

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:

text
poolside/Laguna-XS.2:h1rwu671te8cmng5rw2p24vf

Working Prime CLI query from WSL:

bash
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 25000

Observed status:

  • —Step-75 adapter h1rwu671te8cmng5rw2p24vf: inference works through Prime Inference.
  • —Final adapter w1n9h644zkiiqjef1ux6jjr4: earlier deployment attempt returned DEPLOY_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.