LLaMA-Factory/examples/train_lora/qwen2vl_lora_sft.yaml
simonJJJ 8a09b1e732 initial-commit
Former-commit-id: aeb85f200bd824748008dae6047c2607dfcdf174
2024-08-28 16:51:35 +08:00

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YAML

### model
model_name_or_path: qwen2-vl-hf/qwen2-vl-7b-hf
visual_inputs: true
### method
stage: sft
do_train: true
finetuning_type: lora
lora_target: all
### dataset
dataset: qwen2vl_demo
template: qwen2vl
cutoff_len: 1024
max_samples: 1000
overwrite_cache: true
preprocessing_num_workers: 16
### output
output_dir: saves/qwen2-vl-7b/lora/sft
logging_steps: 10
save_steps: 500
plot_loss: true
overwrite_output_dir: true
### train
per_device_train_batch_size: 2
gradient_accumulation_steps: 1
learning_rate: 1.0e-4
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