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Makefile
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# ---------------- Train Normal BERT -------------------- #
train_bert:
python run_bert.py \
--train_file datas/squad/${TRAIN_FILE} \
--predict_file datas/squad/SQuAD-v1.1-dev.json \
--model_type bert \
--model_name_or_path bert-base-uncased \
--do_lower_case \
--dev_pkl datas/squad/valid_1st.p \
--per_gpu_train_batch_size 12 \
--per_gpu_eval_batch_size 12 \
--do_train \
--bias_eval True \
--output_dir ${OUTPUT_DIR}
# ---------------- Train Baseline BERT -------------------- #
# 1. Entropy Regularization
train_entropy_bert:
python run_bert.py \
--train_file datas/squad/${TRAIN_FILE} \
--predict_file datas/squad/SQuAD-v1.1-dev.json \
--model_type bert_reg \
--model_name_or_path bert-base-uncased \
--do_lower_case \
--dev_pkl datas/squad/valid_1st.p \
--per_gpu_train_batch_size 12 \
--per_gpu_eval_batch_size 12 \
--do_train \
--bias_eval True \
--output_dir ${OUTPUT_DIR}
# 2. Randomized Position
train_random_bert:
python run_bert.py \
--train_file datas/squad/${TRAIN_FILE} \
--predict_file datas/squad/SQuAD-v1.1-dev.json \
--model_type bert_random \
--model_name_or_path bert-base-uncased \
--do_lower_case \
--dev_pkl datas/squad/valid_1st.p \
--per_gpu_train_batch_size 12 \
--per_gpu_eval_batch_size 12 \
--do_train \
--bias_eval True \
--output_dir ${OUTPUT_DIR}
# ---------------- Train Ensemble BERT -------------------- #
# 1. Bias Product
train_prod_bert:
python run_bert.py \
--train_file datas/squad/${TRAIN_FILE} \
--predict_file datas/squad/SQuAD-v1.1-dev.json \
--boundary_path datas/squad/train_sent_boundary.p \
--answer_stat_path datas/squad/${STAT_FILE} \
--model_type bert_prod \
--model_name_or_path bert-base-uncased \
--do_lower_case \
--dev_pkl datas/squad/valid_1st.p \
--per_gpu_train_batch_size 12 \
--per_gpu_eval_batch_size 12 \
--do_train \
--bias_eval True \
--all_bound True \
--output_dir ${OUTPUT_DIR}
# 2. Learned-Mixin
train_mixin_bert:
python run_bert.py \
--train_file datas/squad/${TRAIN_FILE} \
--predict_file datas/squad/SQuAD-v1.1-dev.json \
--boundary_path datas/squad/train_sent_boundary.p \
--answer_stat_path datas/squad/i${STAT_FILE} \
--model_type bert_mixin \
--model_name_or_path bert-base-uncased \
--do_lower_case \
--dev_pkl datas/squad/valid_1st.p \
--per_gpu_train_batch_size 12 \
--per_gpu_eval_batch_size 12 \
--do_train \
--bias_eval True \
--all_bound True \
--output_dir ${OUTPUT_DIR}