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export PYTHONPATH="${PYTHONPATH}:/workspace/code"
export GPU_ID=0,1
export GLUE_DIR=/workspace/data/datasets/glue_data/glue_data
export TASK_NAME=YELP # SST-2 # CoLA # SST-2 # MRPC
python ./examples/run_glue_vae.py \
--model_type bert \
--checkpoint_dir ../output/philly_rr1_vae_wikipedia_pretraining_b0.0_d1.0_r01.0_ra0.1 \
--gloabl_step_eval 60000 \
--model_name_or_path bert-base-cased \
--task_name $TASK_NAME \
--do_train \
--do_eval \
--do_lower_case \
--save_steps 200 \
--data_dir $GLUE_DIR/$TASK_NAME \
--max_seq_length 128 \
--per_gpu_eval_batch_size=32 \
--per_gpu_train_batch_size=32 \
--learning_rate 2e-5 \
--num_train_epochs 50.0 \
--percentage_per_label .5 \
--sample_per_label 10000 \
--output_dir ../output/vae_$TASK_NAME/ \
--use_freeze \
--overwrite_output_dir
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