LLaMA-Factory-Mirror/examples/lora_single_gpu/llama3_preprocess.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_en_demo
template: llama3
cutoff_len: 1024
max_samples: 1000
overwrite_cache: true
preprocessing_num_workers: 16
tokenized_path: saves/llama3-8b/dataset/sft

### output
output_dir: saves/llama3-8b/lora/sft
overwrite_output_dir: true
update examples 2024-05-17 01:02:00 +08:00			`### model`
update docs 2024-05-06 21:47:00 +08:00			`model_name_or_path: meta-llama/Meta-Llama-3-8B-Instruct`

update examples 2024-05-17 01:02:00 +08:00			`### method`
update docs 2024-05-06 21:47:00 +08:00			`stage: sft`
			`do_train: true`
			`finetuning_type: lora`
			`lora_target: q_proj,v_proj`

update examples 2024-05-17 01:02:00 +08:00			`### dataset`
improve KTO impl., replace datasets 2024-05-18 03:44:56 +08:00			`dataset: identity,alpaca_en_demo`
update docs 2024-05-06 21:47:00 +08:00			`template: llama3`
			`cutoff_len: 1024`
			`max_samples: 1000`
			`overwrite_cache: true`
			`preprocessing_num_workers: 16`
update example docs 2024-05-06 22:51:02 +08:00			`tokenized_path: saves/llama3-8b/dataset/sft`
update docs 2024-05-06 21:47:00 +08:00
update examples 2024-05-17 01:02:00 +08:00			`### output`
update docs 2024-05-06 21:47:00 +08:00			`output_dir: saves/llama3-8b/lora/sft`
			`overwrite_output_dir: true`