bf16: true
cutoff_len: 1024
dataset: cangjie
dataset_dir: data
ddp_timeout: 180000000
do_train: true
eval_steps: 5000
eval_strategy: steps
finetuning_type: lora
flash_attn: auto
gradient_accumulation_steps: 8
include_num_input_tokens_seen: true
learning_rate: 0.0001
logging_steps: 2
lora_alpha: 32
lora_dropout: 0.1
lora_rank: 8
lora_target: q_proj, k_proj, v_proj, o_proj, gate_proj, up_proj, down_proj
loraplus_lr_ratio: 16
lr_scheduler_type: cosine
max_grad_norm: 1.0
max_samples: 100000
model_name_or_path: Qwen/Qwen2-7B-Instruct
num_train_epochs: 3.0
optim: adamw_torch
output_dir: saves/Qwen2-7B-Chat/lora/train_08-16-2
packing: true
per_device_eval_batch_size: 4
per_device_train_batch_size: 4
plot_loss: true
preprocessing_num_workers: 16
report_to: none
save_steps: 5000
stage: pt
template: qwen
val_size: 0.05
warmup_steps: 2