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QRotaryTraining/tune.sh
2024-07-20 21:48:17 +02:00

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#!/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