LLaMA-Factory/examples/lora_single_gpu/llama3_preprocess.yaml
hiyouga eb21a527a6 update docs
Former-commit-id: 34d33e22570338da709b8499830adb06b202095c
2024-05-06 21:47:00 +08:00

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YAML

# model
model_name_or_path: meta-llama/Meta-Llama-3-8B-Instruct
# method
stage: sft
do_train: true
finetuning_type: lora
lora_target: q_proj,v_proj
# dataset
dataset: identity,alpaca_gpt4_en
template: llama3
cutoff_len: 1024
max_samples: 1000
val_size: 0.1
overwrite_cache: true
preprocessing_num_workers: 16
tokenized_path: saves/llama3-8b/dataset/sft # use `tokenized_path` in config to load data
# output
output_dir: saves/llama3-8b/lora/sft
overwrite_output_dir: true