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zeekayandHanzo Dev 680408a1ef gym: a runnable example — Qwen3-0.6B LoRA on a 32-row chat set
Verified on Metal: loss 0.155 → 0.052 over three steps, PEFT adapter written.

Co-authored-by: Hanzo Dev <[email protected]>
2026-09-01 02:33:42 -07:00

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YAML

base_model: Qwen/Qwen3-0.6B
chat_template: qwen3
datasets:
- path: examples/add.jsonl
type: chat_template
val_set_size: 4
output_dir: outputs/qwen3-lora
sequence_len: 64
adapter: lora
lora_r: 8
lora_alpha: 16
lora_target_modules: [q_proj, v_proj]
micro_batch_size: 4
gradient_accumulation_steps: 1
num_epochs: 1
max_steps: 20
learning_rate: 1.0e-4
lr_scheduler: constant
logging_steps: 1
bf16: false