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2025ML-project-neural_compr.../transformer-xl/tf/scripts/lm1b_base_gpu.sh

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#!/bin/bash
# Data
DATA_ROOT=../data/one-billion-words/
# Model
DIV_VAL=4
N_LAYER=18
D_MODEL=1024
D_EMBED=1024
N_HEAD=8
D_HEAD=128
D_INNER=4096
# Training
TGT_LEN=256
MEM_LEN=256
BSZ=256
NUM_CORE=4
# Testing
TEST_TGT_LEN=32
TEST_MEM_LEN=128
TEST_CLAMP_LEN=-1
TEST_BSZ=16
TEST_NUM_CORE=1
if [[ $1 == 'train_data' ]]; then
python data_utils.py \
--data_dir=${DATA_ROOT}/ \
--dataset=lm1b \
--tgt_len=${TGT_LEN} \
--per_host_train_bsz=${BSZ} \
--per_host_valid_bsz=${BSZ} \
--num_passes=1 \
--use_tpu=False \
${@:2}
elif [[ $1 == 'test_data' ]]; then
python data_utils.py \
--data_dir=${DATA_ROOT}/ \
--dataset=lm1b \
--tgt_len=${TEST_TGT_LEN} \
--per_host_test_bsz=${TEST_BSZ} \
--num_passes=1 \
--use_tpu=False \
${@:2}
elif [[ $1 == 'train' ]]; then
echo 'Run training...'
python train_gpu.py \
--data_dir=${DATA_ROOT}/tfrecords \
--record_info_dir=${DATA_ROOT}/tfrecords/ \
--corpus_info_path=${DATA_ROOT}/corpus-info.json \
--model_dir=EXP-lm1b \
--div_val=${DIV_VAL} \
--untie_r=True \
--proj_share_all_but_first=False \
--proj_same_dim=False \
--n_layer=${N_LAYER} \
--d_model=${D_MODEL} \
--d_embed=${D_EMBED} \
--n_head=${N_HEAD} \
--d_head=${D_HEAD} \
--d_inner=${D_INNER} \
--dropout=0.1 \
--dropatt=0.0 \
--learning_rate=0.00025 \
--warmup_steps=0 \
--train_steps=400000 \
--tgt_len=${TGT_LEN} \
--mem_len=${MEM_LEN} \
--train_batch_size=${BSZ} \
--num_core_per_host=${NUM_CORE} \
--iterations=200 \
--save_steps=4000 \
${@:2}
elif [[ $1 == 'eval' ]]; then
echo 'Run evaluation...'
python train_gpu.py \
--data_dir=${DATA_ROOT}/tfrecords \
--record_info_dir=${DATA_ROOT}/tfrecords/ \
--corpus_info_path=${DATA_ROOT}/corpus-info.json \
--model_dir=EXP-lm1b \
--div_val=${DIV_VAL} \
--untie_r=True \
--proj_share_all_but_first=False \
--proj_same_dim=False \
--n_layer=${N_LAYER} \
--d_model=${D_MODEL} \
--d_embed=${D_EMBED} \
--n_head=${N_HEAD} \
--d_head=${D_HEAD} \
--d_inner=${D_INNER} \
--dropout=0.0 \
--dropatt=0.0 \
--tgt_len=${TEST_TGT_LEN} \
--mem_len=${TEST_MEM_LEN} \
--clamp_len=${TEST_CLAMP_LEN} \
--same_length=True \
--eval_batch_size=${TEST_BSZ} \
--num_core_per_host=${TEST_NUM_CORE} \
--do_train=False \
--do_eval=True \
--eval_split=test \
${@:2}
else
echo 'unknown argment 1'
fi