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run_ernie.sh
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#!/bin/bash
export FLAGS_sync_nccl_allreduce=1
export CUDA_VISIBLE_DEVICES=0
MODEL_PATH=./pretrain_models/ernie
TASK_DATA_PATH=./data
CKPT_PATH=./save_models/ernie
# run_train
train() {
python run_ernie_classifier.py \
--use_cuda true \
--verbose true \
--do_train true \
--do_val true \
--use_paddle_hub false \
--batch_size 32 \
--init_checkpoint ${MODEL_PATH}/params \
--train_set ${TASK_DATA_PATH}/train.tsv \
--dev_set ${TASK_DATA_PATH}/dev.tsv \
--vocab_path ${MODEL_PATH}/vocab.txt \
--save_checkpoint_dir ${CKPT_PATH} \
--save_steps 500 \
--validation_steps 50 \
--epoch 3 \
--max_seq_len 64 \
--ernie_config_path ${MODEL_PATH}/ernie_config.json \
--lr 2e-5 \
--skip_steps 50 \
--num_labels 3 \
--random_seed 1
}
# run_test
evaluate() {
python run_ernie_classifier.py \
--use_cuda true \
--verbose true \
--do_val true \
--use_paddle_hub false \
--batch_size 32 \
--init_checkpoint ${CKPT_PATH}/step_907 \
--test_set ${TASK_DATA_PATH}/test.tsv \
--vocab_path ${MODEL_PATH}/vocab.txt \
--max_seq_len 64 \
--ernie_config_path ${MODEL_PATH}/ernie_config.json \
--num_labels 3
}
# run_infer
infer() {
python run_ernie_classifier.py \
--use_cuda true \
--verbose true \
--do_infer true \
--use_paddle_hub false \
--batch_size 32 \
--init_checkpoint ${CKPT_PATH}/step_907 \
--infer_set ${TASK_DATA_PATH}/infer.tsv \
--vocab_path ${MODEL_PATH}/vocab.txt \
--max_seq_len 64 \
--ernie_config_path ${MODEL_PATH}/ernie_config.json \
--num_labels 3
}
main() {
local cmd=${1:-help}
case "${cmd}" in
train)
train "$@";
;;
eval)
evaluate "$@";
;;
infer)
infer "$@";
;;
help)
echo "Usage: ${BASH_SOURCE} {train|eval|infer}";
return 0;
;;
*)
echo "unsupport command [${cmd}]";
echo "Usage: ${BASH_SOURCE} {train|eval|infer}";
return 1;
;;
esac
}
main "$@"