galore训练，输出的grad_norm始终为0，正常吗

[letterk]

### model
model_name_or_path: meta-llama/Meta-Llama-3-8B-Instruct

### method
stage: sft
do_train: true
finetuning_type: full
use_galore: true
galore_layerwise: true
galore_target: mlp,self_attn
galore_rank: 128
galore_scale: 2.0

### 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/full/sft
logging_steps: 10
save_steps: 500
plot_loss: true
overwrite_output_dir: true

### train
per_device_train_batch_size: 1
gradient_accumulation_steps: 1
learning_rate: 1.0e-4
num_train_epochs: 3.0
lr_scheduler_type: cosine
warmup_ratio: 0.1
pure_bf16: true

### eval
val_size: 0.1
per_device_eval_batch_size: 1
eval_strategy: steps
eval_steps: 500

直接用example跑的

[hiyouga]

galore 无法获取 gradnorm，因此没法显示