LLaMA-Factory/examples/train_lora/qwen2vl_lora_dpo.yaml
hoshi-hiyouga 6e58115f98 [trainer] update config (#7174)
Former-commit-id: b4b89b4ff3bc03aa388569e253d62580755a77a5
2025-03-05 23:32:54 +08:00

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929 B
YAML

### model
model_name_or_path: Qwen/Qwen2-VL-7B-Instruct
image_max_pixels: 262144
video_max_pixels: 16384
trust_remote_code: true
### method
stage: dpo
do_train: true
finetuning_type: lora
lora_rank: 8
lora_target: all
pref_beta: 0.1
pref_loss: sigmoid # choices: [sigmoid (dpo), orpo, simpo]
### dataset
dataset: rlhf_v
template: qwen2_vl
cutoff_len: 2048
max_samples: 1000
overwrite_cache: true
preprocessing_num_workers: 16
dataloader_num_workers: 4
### output
output_dir: saves/qwen2_vl-7b/lora/dpo
logging_steps: 10
save_steps: 500
plot_loss: true
overwrite_output_dir: true
save_only_model: false
### train
per_device_train_batch_size: 1
gradient_accumulation_steps: 8
learning_rate: 5.0e-6
num_train_epochs: 3.0
lr_scheduler_type: cosine
warmup_ratio: 0.1
bf16: true
ddp_timeout: 180000000
resume_from_checkpoint: null
### eval
# val_size: 0.1
# per_device_eval_batch_size: 1
# eval_strategy: steps
# eval_steps: 500