python run_uda.py \
--task=yahoo \
--gpu_num=0 \
--train_max_seq_length=128 \
--model_name_or_path="./pretrained/bert_base" \
--per_gpu_train_batch_size=8 \
--per_gpu_eval_batch_size=128 \
--learning_rate=1e-5 \
--linear_learning_rate=1e-3 \
--do_distri_train \
--num_train_epochs=20 \
--output_dir="./output" \
--weight_decay=0.01 \
--tsa=log_schedule \
--early_stop=2 \
--tsa=exp_schedule \
$@
qiyuan-chen / accelerating-semi-supervised-text-classification-by-k-way-projecting-networks Goto Github PK
View Code? Open in Web Editor NEWCode for paper "Accelerating Semi-Supervised Text Classification by K-way Projecting Networks"