- Pre-training and Finetuning on BioMedical tasks and corpus - Disabling Grappler Optimizations for improved performance
55 lines
2.3 KiB
Bash
55 lines
2.3 KiB
Bash
#!/bin/bash
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# Copyright (c) 2019 NVIDIA CORPORATION. All rights reserved.
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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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export BERT_PREP_WORKING_DIR="${BERT_PREP_WORKING_DIR}"
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# Download
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python3 ${BERT_PREP_WORKING_DIR}/bertPrep.py --action download --dataset pubmed_baseline
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python3 ${BERT_PREP_WORKING_DIR}/bertPrep.py --action download --dataset google_pretrained_weights # Includes vocab
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# Properly format the text files
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python3 ${BERT_PREP_WORKING_DIR}/bertPrep.py --action text_formatting --dataset pubmed_baseline
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# Shard the text files
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python3 ${BERT_PREP_WORKING_DIR}/bertPrep.py --action sharding --dataset pubmed_baseline
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### BERT BASE
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## UNCASED
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# Create TFRecord files Phase 1
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python3 ${BERT_PREP_WORKING_DIR}/bertPrep.py --action create_tfrecord_files --dataset pubmed_baseline --max_seq_length 128 \
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--max_predictions_per_seq 20 --vocab_file ${BERT_PREP_WORKING_DIR}/download/google_pretrained_weights/uncased_L-12_H-768_A-12/vocab.txt
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# Create TFRecord files Phase 2
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python3 ${BERT_PREP_WORKING_DIR}/bertPrep.py --action create_tfrecord_files --dataset pubmed_baseline --max_seq_length 512 \
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--max_predictions_per_seq 80 --vocab_file ${BERT_PREP_WORKING_DIR}/download/google_pretrained_weights/uncased_L-12_H-768_A-12/vocab.txt
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## CASED
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# Create TFRecord files Phase 1
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python3 ${BERT_PREP_WORKING_DIR}/bertPrep.py --action create_tfrecord_files --dataset pubmed_baseline --max_seq_length 128 \
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--max_predictions_per_seq 20 --vocab_file ${BERT_PREP_WORKING_DIR}/download/google_pretrained_weights/cased_L-12_H-768_A-12/vocab.txt \
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--do_lower_case=0
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# Create TFRecord files Phase 2
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python3 ${BERT_PREP_WORKING_DIR}/bertPrep.py --action create_tfrecord_files --dataset pubmed_baseline --max_seq_length 512 \
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--max_predictions_per_seq 80 --vocab_file ${BERT_PREP_WORKING_DIR}/download/google_pretrained_weights/cased_L-12_H-768_A-12/vocab.txt \
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--do_lower_case=0
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