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train0.sh
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train0.sh
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#!/bin/bash
export CUDA_VISIBLE_DEVICES=0
STEPS=5000
READER=bert150
# READER=bert
# READER=fever
# READER=get_data_bm25_150
K=48
LR=8e-5
BSZ=4
TASKS=SST-2
python train_reader.py \
--tasks ${TASKS} \
--name ${READER}/${TASKS} \
--train_data /share/project/guozhicheng/FiD/get_data_${READER}/${TASKS}.train.json \
--eval_data /share/project/guozhicheng/FiD/get_data_${READER}/${TASKS}.dev.json \
--test_data /share/project/guozhicheng/FiD/get_data_${READER}/${TASKS}.dev.json \
--model_size base \
--lr ${LR} \
--per_gpu_batch_size ${BSZ} \
--total_step ${STEPS} \
--n_context ${K} \
--optim adamw \
--scheduler linear \
--weight_decay 0.01 \
--text_maxlength 128 \
--warmup_step 0
# TASKS=cr
# LR=1e-5
# BSZ=8
# python train_reader.py \
# --tasks ${TASKS} \
# --name ${READER}/${TASKS} \
# --train_data /share/project/guozhicheng/FiD/get_data_${READER}/${TASKS}.train.json \
# --eval_data /share/project/guozhicheng/FiD/get_data_${READER}/${TASKS}.dev.json \
# --model_size base \
# --lr ${LR} \
# --per_gpu_batch_size ${BSZ} \
# --total_step ${STEPS} \
# --n_context ${K} \
# --optim adamw \
# --scheduler linear \
# --weight_decay 0.01 \
# --text_maxlength 128 \
# --warmup_step 0
# LR=8e-5
# BSZ=4
# TASKS=mpqa
# python train_reader.py \
# --tasks ${TASKS} \
# --name ${READER}/${TASKS} \
# --train_data /share/project/guozhicheng/FiD/get_data_${READER}/${TASKS}.train.json \
# --eval_data /share/project/guozhicheng/FiD/get_data_${READER}/${TASKS}.dev.json \
# --model_size base \
# --lr ${LR} \
# --per_gpu_batch_size ${BSZ} \
# --total_step ${STEPS} \
# --n_context ${K} \
# --optim adamw \
# --scheduler linear \
# --weight_decay 0.01 \
# --text_maxlength 128 \
# --warmup_step 0
# LR=8e-5
# BSZ=8
# # K=8
# TASKS=trec
# python train_reader.py \
# --tasks ${TASKS} \
# --name ${READER}/${TASKS} \
# --train_data /share/project/guozhicheng/FiD/get_data_${READER}/${TASKS}.train.json \
# --eval_data /share/project/guozhicheng/FiD/get_data_${READER}/${TASKS}.dev.json \
# --model_size base \
# --lr ${LR} \
# --per_gpu_batch_size ${BSZ} \
# --total_step ${STEPS} \
# --n_context ${K} \
# --optim adamw \
# --scheduler linear \
# --weight_decay 0.01 \
# --text_maxlength 128 \
# --warmup_step 0
# LR=8e-5
# BSZ=8
# K=16
# TASKS=trec
# python train_reader.py \
# --tasks ${TASKS} \
# --name ${READER}/${TASKS} \
# --train_data /share/project/guozhicheng/FiD/get_data_${READER}/${TASKS}.train.json \
# --eval_data /share/project/guozhicheng/FiD/get_data_${READER}/${TASKS}.dev.json \
# --model_size base \
# --lr ${LR} \
# --per_gpu_batch_size ${BSZ} \
# --total_step ${STEPS} \
# --n_context ${K} \
# --optim adamw \
# --scheduler linear \
# --weight_decay 0.01 \
# --text_maxlength 128 \
# --warmup_step 0