# Copyright (c) 2023 PaddlePaddle Authors. All Rights Reserved.
# 
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
# 
#     http://www.apache.org/licenses/LICENSE-2.0
# 
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

# GPU启动，参数`--gpus`指定训练所用的GPU卡号，可以是单卡，也可以多卡
unset CUDA_VISIBLE_DEVICES

log_dir=./qg-log
rm -rf ${log_dir}
mkdir -p ${log_dir}

python -m paddle.distributed.launch --gpus "0,1,2,3" --log_dir ${log_dir} run_gen.py \
    --dataset_name=dureader_qg \
    --model_name_or_path=unimo-text-1.0 \
    --save_dir=${log_dir}/checkpoints \
    --logging_steps=10 \
    --save_steps=1000 \
    --epochs=6 \
    --batch_size=8 \
    --learning_rate=5e-5 \
    --warmup_proportion=0.02 \
    --weight_decay=0.01 \
    --max_seq_len=360 \
    --max_target_len=30 \
    --max_dec_len=20 \
    --min_dec_len=3 \
    --do_train \
    --do_predict \
    --device=gpu >> ${log_dir}/lanch.log 2>&1
