### model | |
model_name_or_path: meta-llama/Meta-Llama-3-8B-Instruct | |
### method | |
stage: sft | |
do_train: true | |
finetuning_type: lora | |
lora_target: all | |
deepspeed: examples/deepspeed/ds_z0_config.json | |
### dataset | |
dataset: identity,alpaca_en_demo | |
template: llama3 | |
cutoff_len: 1024 | |
max_samples: 1000 | |
overwrite_cache: true | |
preprocessing_num_workers: 16 | |
### output | |
output_dir: saves/llama3-8b/lora/sft | |
logging_steps: 10 | |
save_steps: 500 | |
plot_loss: true | |
overwrite_output_dir: true | |
### train | |
per_device_train_batch_size: 1 | |
gradient_accumulation_steps: 2 | |
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 | |