CUDA_VISIBLE_DEVICES=0,1 python run.py \
--model_type roberta \
--do_train \
--do_eval \
--eval_all_checkpoints \
--train_file cosqa-train.json \
--dev_file cosqa-dev.json \
--max_seq_length 200 \
--per_gpu_train_batch_size 16 \
--per_gpu_eval_batch_size 16 \
--learning_rate 1e-5 \
--num_train_epochs 3 \
--gradient_accumulation_steps 1 \
--warmup_steps 5000 \
--evaluate_during_training \
--data_dir ../data/CoSQA/ \
--output_dir ../model/model_cosqa_continue_training \
--encoder_name_or_path ./model_codesearchnet/checkpoint-best-aver