add example script

tune.sh

@@ -0,0 +1,30 @@
+#!/bin/sh
+
+BASE_DIR=$(dirname "$0")
+VENV_DIR=$(venvget)
+
+export MAX_JOBS=48
+
+export ROCR_VISIBLE_DEVICES="1,2"
+source $VENV_DIR/bin/activate
+
+python $SCRIPTS/train_dyamic/train_dynamic.py \
+	--model_name_or_path "huggyllama/llama-7b" \
+	--dataset "tatsu-lab/alpaca" \
+	--data_from_hub \
+	--do_train \
+	--reshufle_steps 50 \
+	--per_device_train_batch_size 8 \
+	--per_device_eval_batch_size 8 \
+	--gradient_checkpointing False \
+	--gradient_accumulation_steps 1 \
+	--num_train_epochs 2 \
+	--logging_dir $BASE_DIR/log \
+	--logging_steps 5 \
+	--learning_rate 1e-6 \
+	--save_steps 1000 \
+	--output_dir $BASE_DIR/llama-7b \
+	--adam8bit \
+	--max_instant_params 2000\
+	--churn_percent 50\
+	--quantize