LLaMA-Factory/examples/extras/muon/qwen2_full_sft.yaml
Juanxi Tian d128382d3c
[trainer] Add Muon Optimizer (#7749)
Co-authored-by: hoshi-hiyouga <hiyouga@buaa.edu.cn>
2025-04-21 23:38:37 +08:00

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YAML

### model
model_name_or_path: Qwen/Qwen2-1.5B-Instruct
trust_remote_code: true
### method
stage: sft
do_train: true
finetuning_type: full
use_muon: true
### dataset
dataset: identity,alpaca_en_demo
template: qwen
cutoff_len: 2048
max_samples: 1000
overwrite_cache: true
preprocessing_num_workers: 16
dataloader_num_workers: 4
### output
output_dir: saves/qwen2-1_5b/full/sft
logging_steps: 10
save_steps: 500
plot_loss: true
overwrite_output_dir: true
save_only_model: false
report_to: none # choices: [none, wandb, tensorboard, swanlab, mlflow]
### train
per_device_train_batch_size: 1
gradient_accumulation_steps: 8
learning_rate: 1.0e-5
num_train_epochs: 3.0
lr_scheduler_type: cosine
warmup_ratio: 0.1
bf16: true
ddp_timeout: 180000000
### eval
# val_size: 0.1
# per_device_eval_batch_size: 1
# eval_strategy: steps
# eval_steps: 500