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LoRA SFT adapter โ recipe sft on mixture delib-sonnet-7 (qwen36, seed 0)
| field | value |
|---|---|
experiment |
LoRA SFT adapter โ recipe sft on mixture delib-sonnet-7 (qwen36, seed 0) |
date_generated |
20260916 |
constitution |
inherited from the training data (dougalldeepmind/2026-09-16-delib-sonnet-7-mix); not declared at launch |
source_repo |
https://github.com/Matthew-Bozoukov/Lessons_from_constituitional_AFT.git @ ad36805dc8f09a0e084f72591460a42259e83384 |
models |
base: Qwen/Qwen3.6-27B@6a9e13bd6fc8f0983b9b99948120bc37f49c13e9 |
generation_config |
{"recipe": "sft", "seed": 0, "thinking": true, "epochs": 1.0, "lr": 0.0001, "batch_size": 1, "grad_accum": 16, "max_seq_len": 8192, "lora": {"r": 64, "alpha": 128, "dropout": 0.05}, "dynamic_batching": {"token_budget": 8000, "loss_agg": "seq-mean-token-mean"}} |
schema |
PEFT LoRA adapter (safetensors) + tokenizer + train_config.yaml (the resolved config that ran, every launch argument and pin written back: uv run train --config train_config.yaml re-runs it) + training_meta.json {organism, thinking, recipe, mix_subject, train_config, base_model, base_model_revision, model_profile, dataset{repo,file,revision}, git_sha, timestamp} |
provenance |
uv run train --config configs/train/sft.yaml model=qwen36 data_repo=dougalldeepmind/2026-09-16-delib-sonnet-7-mix seed=0 wandb=true |
dataset |
hf.co/datasets/dougalldeepmind/2026-09-16-delib-sonnet-7-mix@61d00b0a5ee72e897b8b3dac79fc9a60f04af960 (mixture.jsonl) |
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