LLaMA-Factory-Mirror/results/full/Llama2-7B/llama2_full_1.yaml

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YAML

### model
model_name_or_path: modelscope/Llama-2-7b-ms
### method
stage: sft
do_train: true
finetuning_type: full
deepspeed: examples/deepspeed/ds_z3_config.json
### dataset
dataset: belle_1m
template: llama2
cutoff_len: 1024
max_samples: 10000
overwrite_cache: true
preprocessing_num_workers: 16
### output
output_dir: ./results/full/Llama2-7B/llama2_full_1
logging_steps: 3
save_steps: 100
plot_loss: true
overwrite_output_dir: true
### train
per_device_train_batch_size: 2
gradient_accumulation_steps: 8
learning_rate: 1.0e-5
num_train_epochs: 10.0
lr_scheduler_type: cosine
warmup_ratio: 0.1
bf16: true
ddp_timeout: 180000000
### eval
val_size: 0.1
per_device_eval_batch_size: 2
eval_strategy: steps
eval_steps: 500