DeepLearningExamples/TensorFlow/LanguageModeling/BERT/data/create_biobert_datasets_from_start.sh
Przemek Strzelczyk 9cd3946603 Updating BERT/TF
- Pre-training and Finetuning on BioMedical tasks and corpus
- Disabling Grappler Optimizations for improved performance
2019-11-04 23:18:08 +01:00

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#!/bin/bash
# Copyright (c) 2019 NVIDIA CORPORATION. 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.
export BERT_PREP_WORKING_DIR="${BERT_PREP_WORKING_DIR}"
# Download
python3 ${BERT_PREP_WORKING_DIR}/bertPrep.py --action download --dataset pubmed_baseline
python3 ${BERT_PREP_WORKING_DIR}/bertPrep.py --action download --dataset google_pretrained_weights # Includes vocab
# Properly format the text files
python3 ${BERT_PREP_WORKING_DIR}/bertPrep.py --action text_formatting --dataset pubmed_baseline
# Shard the text files
python3 ${BERT_PREP_WORKING_DIR}/bertPrep.py --action sharding --dataset pubmed_baseline
### BERT BASE
## UNCASED
# Create TFRecord files Phase 1
python3 ${BERT_PREP_WORKING_DIR}/bertPrep.py --action create_tfrecord_files --dataset pubmed_baseline --max_seq_length 128 \
--max_predictions_per_seq 20 --vocab_file ${BERT_PREP_WORKING_DIR}/download/google_pretrained_weights/uncased_L-12_H-768_A-12/vocab.txt
# Create TFRecord files Phase 2
python3 ${BERT_PREP_WORKING_DIR}/bertPrep.py --action create_tfrecord_files --dataset pubmed_baseline --max_seq_length 512 \
--max_predictions_per_seq 80 --vocab_file ${BERT_PREP_WORKING_DIR}/download/google_pretrained_weights/uncased_L-12_H-768_A-12/vocab.txt
## CASED
# Create TFRecord files Phase 1
python3 ${BERT_PREP_WORKING_DIR}/bertPrep.py --action create_tfrecord_files --dataset pubmed_baseline --max_seq_length 128 \
--max_predictions_per_seq 20 --vocab_file ${BERT_PREP_WORKING_DIR}/download/google_pretrained_weights/cased_L-12_H-768_A-12/vocab.txt \
--do_lower_case=0
# Create TFRecord files Phase 2
python3 ${BERT_PREP_WORKING_DIR}/bertPrep.py --action create_tfrecord_files --dataset pubmed_baseline --max_seq_length 512 \
--max_predictions_per_seq 80 --vocab_file ${BERT_PREP_WORKING_DIR}/download/google_pretrained_weights/cased_L-12_H-768_A-12/vocab.txt \
--do_lower_case=0