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chore: import upstream snapshot with attribution
2026-07-13 13:37:14 +08:00

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# Copyright (c) 2022 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=output
rm -rf ${log_dir}
mkdir -p ${log_dir}
python -m paddle.distributed.launch --gpus "0,1,2,3" --log_dir ${log_dir} train.py \
--model_name_or_path=unimo-text-1.0-summary \
--train_file train.json \
--eval_file test.json \
--save_dir=${log_dir}/checkpoints \
--logging_steps=100 \
--save_steps=10000 \
--epochs=10 \
--batch_size=32 \
--learning_rate=5e-5 \
--warmup_proportion=0.02 \
--weight_decay=0.01 \
--max_seq_len=512 \
--max_target_len=60 \
--max_dec_len=20 \
--min_dec_len=3 \
--do_train \
--do_eval \
--device=gpu \