wehub-resource-sync
81 lines
2.6 KiB
Bash
81 lines
2.6 KiB
Bash
# Copyright (c) 2023 PaddlePaddle Authors. All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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set -x
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#unset CUDA_VISIBLE_DEVICES
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export CUDA_VISIBLE_DEVICES="0,1,2,3,4,5,6,7"
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export FLAGS_selected_gpus="0,1,2,3,4,5,6,7"
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rm -rf log
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rm -rf output
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cuda_version=`nvidia-smi \|grep "CUDA Version" \|awk '{print $9}' \|awk -F'.' '{print $1}'`
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if [ ${cuda_version} != "12" ];then
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export LD_LIBRARY_PATH=/usr/local/cuda/compat:$LD_LIBRARY_PATH
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fi
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export PYTHONPATH=../../:$PYTHONPATH
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python -u -m paddle.distributed.launch \
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--gpus "0,1,2,3,4,5,6,7" \
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--log_dir "./v2_to_v2_0" \
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run_pretrain.py \
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--model_type "llama" \
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--model_name_or_path "facebook/llama-7b" \
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--tokenizer_name_or_path "facebook/llama-7b" \
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--input_dir "./data" \
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--output_dir "./sharding_v2" \
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--split 949,50,1 \
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--max_seq_length 2048 \
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--per_device_train_batch_size 1 \
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--gradient_accumulation_steps 32 \
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--per_device_eval_batch_size 4 \
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--use_flash_attention 1 \
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--use_fused_rms_norm 1 \
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--virtual_pp_degree 1 \
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--learning_rate 0.00001 \
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--min_learning_rate 0.000001 \
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--max_steps 100 \
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--save_steps 30 \
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--seed 100 \
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--weight_decay 0.01 \
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--warmup_ratio 0.01 \
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--max_grad_norm 1.0 \
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--logging_steps 1 \
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--dataloader_num_workers 1 \
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--eval_steps 1001 \
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--sharding "stage1" \
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--sharding_parallel_degree 4 \
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--disable_tqdm true \
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--continue_training 0 \
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--do_train \
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--device "gpu" \
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--enable_linear_fused_grad_add true \
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--fuse_attention_qkv true \
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--fuse_attention_ffn true \
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--use_fused_rope true \
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--sharding_parallel_config "split_param" \
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--tensor_parallel_config "enable_mp_async_allreduce enable_mp_skip_c_identity enable_mp_fused_linear_param_grad_add" \
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--recompute_use_reentrant true \
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--data_cache "./data_cache" \
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--pipeline_parallel_degree 2 \
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--bf16 \
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--fp16_opt_level "O2" \
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--amp_master_grad \
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--tensor_parallel_degree 1 \
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--load_sharded_model true \
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--save_sharded_model true \
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--ignore_data_skip 0 \
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--force_reshard_pp true \
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