chore: change lr to original

results/lora_sft_template.yaml

@@ -25,7 +25,7 @@ overwrite_output_dir: true
 ### train
 per_device_train_batch_size: 2
 gradient_accumulation_steps: 8
-learning_rate: 1.0e-5
+learning_rate: 1.0e-4
 num_train_epochs: 10.0
 lr_scheduler_type: cosine
 warmup_ratio: 0.1

run_once.sh

@@ -3,6 +3,7 @@
 
 # bash run_once.sh lora_sft Qwen-7B 8 50
 # bash run_once.sh lora_sft Qwen-7B 1 50
+# bash run_once.sh lora_sft 9g-8B 8 50
 # bash run_once.sh inference Qwen-7B 8 50
 run_type="$1"
 model="$2"