108 lines
No EOL
2.6 KiB
Bash
108 lines
No EOL
2.6 KiB
Bash
#!/bin/bash
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# Data
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DATA_ROOT=../data/wikitext-103/
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# Model
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DIV_VAL=1
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N_LAYER=16
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D_MODEL=410
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D_EMBED=410
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N_HEAD=10
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D_HEAD=41
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D_INNER=2100
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# Training
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TGT_LEN=150
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MEM_LEN=150
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BSZ=60
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NUM_CORE=4
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# Testing
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TEST_TGT_LEN=64
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TEST_MEM_LEN=640
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TEST_CLAMP_LEN=400
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TEST_BSZ=10
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TEST_NUM_CORE=1
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if [[ $1 == 'train_data' ]]; then
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python data_utils.py \
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--data_dir=${DATA_ROOT}/ \
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--dataset=wt103 \
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--tgt_len=${TGT_LEN} \
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--per_host_train_bsz=${BSZ} \
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--per_host_valid_bsz=${BSZ} \
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--num_passes=1 \
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--use_tpu=False \
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${@:2}
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elif [[ $1 == 'test_data' ]]; then
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python data_utils.py \
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--data_dir=${DATA_ROOT}/ \
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--dataset=enwik8 \
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--tgt_len=${TEST_TGT_LEN} \
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--per_host_test_bsz=${TEST_BSZ} \
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--num_passes=1 \
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--use_tpu=False \
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${@:2}
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elif [[ $1 == 'train' ]]; then
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echo 'Run training...'
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python train_gpu.py \
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--data_dir=${DATA_ROOT}/tfrecords \
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--record_info_dir=${DATA_ROOT}/tfrecords/ \
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--corpus_info_path=${DATA_ROOT}/corpus-info.json \
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--model_dir=EXP-wt103 \
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--div_val=${DIV_VAL} \
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--untie_r=True \
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--proj_share_all_but_first=True \
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--n_layer=${N_LAYER} \
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--d_model=${D_MODEL} \
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--d_embed=${D_EMBED} \
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--n_head=${N_HEAD} \
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--d_head=${D_HEAD} \
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--d_inner=${D_INNER} \
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--dropout=0.1 \
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--dropatt=0.0 \
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--learning_rate=0.00025 \
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--warmup_steps=0 \
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--train_steps=400000 \
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--tgt_len=${TGT_LEN} \
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--mem_len=${MEM_LEN} \
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--train_batch_size=${BSZ} \
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--num_core_per_host=${NUM_CORE} \
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--iterations=200 \
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--save_steps=4000 \
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${@:2}
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elif [[ $1 == 'eval' ]]; then
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echo 'Run evaluation...'
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python train_gpu.py \
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--data_dir=${DATA_ROOT}/tfrecords \
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--record_info_dir=${DATA_ROOT}/tfrecords/ \
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--corpus_info_path=${DATA_ROOT}/corpus-info.json \
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--model_dir=EXP-wt103 \
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--div_val=${DIV_VAL} \
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--untie_r=True \
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--proj_share_all_but_first=True \
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--n_layer=${N_LAYER} \
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--d_model=${D_MODEL} \
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--d_embed=${D_EMBED} \
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--n_head=${N_HEAD} \
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--d_head=${D_HEAD} \
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--d_inner=${D_INNER} \
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--dropout=0.0 \
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--dropatt=0.0 \
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--tgt_len=${TEST_TGT_LEN} \
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--mem_len=${TEST_MEM_LEN} \
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--clamp_len=${TEST_CLAMP_LEN} \
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--same_length=True \
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--eval_batch_size=${TEST_BSZ} \
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--num_core_per_host=${TEST_NUM_CORE} \
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--do_train=False \
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--do_eval=True \
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--eval_split=test \
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${@:2}
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else
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echo 'unknown argment 1'
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fi |