#!/bin/bash train_atis_slot(){ if [ ! -d "./data/saved_models/atis_slot" ]; then mkdir "./data/saved_models/atis_slot" fi python -u train.py \ --task_name=atis_slot \ --use_cuda=true \ --do_train=true \ --in_tokens=false \ --epoch=2 \ --batch_size=32 \ --data_dir=./data/input/data/atis/atis_slot \ --bert_config_path=./data/pretrain_model/uncased_L-12_H-768_A-12/bert_config.json \ --vocab_path=./data/pretrain_model/uncased_L-12_H-768_A-12/vocab.txt \ --init_from_pretrain_model=./data/pretrain_model/uncased_L-12_H-768_A-12/params \ --save_model_path=./data/saved_models/atis_slot \ --save_param="params" \ --save_steps=100 \ --learning_rate=2e-5 \ --weight_decay=0.01 \ --max_seq_len=128 \ --print_steps=10 \ --use_fp16=false \ --enable_ce=store_true } train_mrda(){ if [ ! -d "./data/saved_models/mrda" ]; then mkdir "./data/saved_models/mrda" fi python -u train.py \ --task_name=mrda \ --use_cuda=true \ --do_train=true \ --in_tokens=true \ --epoch=2 \ --batch_size=4096 \ --data_dir=./data/input/data/mrda \ --bert_config_path=./data/pretrain_model/uncased_L-12_H-768_A-12/bert_config.json \ --vocab_path=./data/pretrain_model/uncased_L-12_H-768_A-12/vocab.txt \ --init_from_pretrain_model=./data/pretrain_model/uncased_L-12_H-768_A-12/params \ --save_model_path=./data/saved_models/mrda \ --save_param="params" \ --save_steps=500 \ --learning_rate=2e-5 \ --weight_decay=0.01 \ --max_seq_len=128 \ --print_steps=200 \ --use_fp16=false \ --enable_ce=store_true } # FIXME(zjl): this model would fail when GC is enabled, # but it seems that this error is from the model itself. # See issue here: https://github.com/PaddlePaddle/Paddle/issues/18994#event-2532039900 # To fix ce, disable gc in this model temporarily. export FLAGS_eager_delete_tensor_gb=1 cudaid=${multi:=0,1,2,3} export CUDA_VISIBLE_DEVICES=$cudaid train_atis_slot | python _ce.py sleep 20 cudaid=${single:=0} export CUDA_VISIBLE_DEVICES=$cudaid train_atis_slot | python _ce.py