$ python3.7 -m venv venv
$ source venv/bin/activate
$ pip install -r requirements.txt

$ git clone https://github.com/NVIDIA/apex
$ cd apex
$ pip install -v --disable-pip-version-check --no-cache-dir --global-option="--cpp_ext" --global-option="--cuda_ext" ./

$ mkdir data

$ wget https://cdn-datasets.huggingface.co/summarization/cnn_dm_v2.tgz
$ tar -xzvf cnn_dm_v2.tgz
$ mv cnn_cln data/cnndm

$ wget https://cdn-datasets.huggingface.co/summarization/xsum.tar.gz
$ tar -xzvf xsum.tar.gz
$ mv xsum data/xsum

$ python generate_augmentation.py \
    --dataset xsum \
    --n 5 \
    --augmentation1 randomdelete \
    --augmentation2 randomswap

$ DATA_DIR=./data/cnndm-augmented/RandominsertionRandominsertion-NumSent-3
$ OUTPUT_DIR=./log/cnndm

$ python -m torch.distributed.launch --nproc_per_node=3  cl_finetune_trainer.py \
  --data_dir $DATA_DIR \
  --output_dir $OUTPUT_DIR \
  --learning_rate=5e-7 \
  --per_device_train_batch_size 16 \
  --per_device_eval_batch_size 16 \
  --do_train --do_eval \
  --evaluation_strategy steps \
  --freeze_embeds \
  --save_total_limit 10 \
  --save_steps 1000 \
  --logging_steps 1000 \
  --num_train_epochs 5 \
  --model_name_or_path sshleifer/distilbart-cnn-12-6 \
  --alpha 0.2 \
  --temperature 0.5 \
  --freeze_encoder_layer 6 \
  --prediction_loss_only \
  --fp16

$ DATA_DIR=./data/xsum-augmented/RandomdeleteRandomswap-NumSent-3
$ OUTPUT_DIR=./log/xsum

$ python -m torch.distributed.launch --nproc_per_node=3  cl_finetune_trainer.py \
  --data_dir $DATA_DIR \
  --output_dir $OUTPUT_DIR \
  --learning_rate=5e-7 \
  --per_device_train_batch_size 16 \
  --per_device_eval_batch_size 16 \
  --do_train --do_eval \
  --evaluation_strategy steps \
  --freeze_embeds \
  --save_total_limit 10 \
  --save_steps 1000 \
  --logging_steps 1000 \
  --num_train_epochs 5 \
  --model_name_or_path sshleifer/distilbart-xsum-12-6 \
  --alpha 0.2 \
  --temperature 0.5 \
  --freeze_encoder \
  --prediction_loss_only \
  --fp16

$ export DATA=cnndm
$ export DATA_DIR=data/$DATA
$ export CHECKPOINT_DIR=./log/$DATA
$ export OUTPUT_DIR=output/$DATA

$ python -m torch.distributed.launch --nproc_per_node=2  run_distributed_eval.py \
    --model_name sshleifer/distilbart-cnn-12-6  \
    --save_dir $OUTPUT_DIR \
    --data_dir $DATA_DIR \
    --bs 16 \
    --fp16 \
    --use_checkpoint \
    --checkpoint_path $CHECKPOINT_DIR
    
$ python postprocess_cnndm.py \
    --src_file $OUTPUT_DIR/test_generations.txt \
    --tgt_file $DATA_DIR/test.target

$ export DATA=xsum
$ export DATA_DIR=data/$DATA
$ export CHECKPOINT_DIR=./log/$DATA
$ export OUTPUT_DIR=output/$DATA

$ python -m torch.distributed.launch --nproc_per_node=3  run_distributed_eval.py \
    --model_name sshleifer/distilbart-xsum-12-6  \
    --save_dir $OUTPUT_DIR \
    --data_dir $DATA_DIR \
    --bs 16 \
    --fp16 \
    --use_checkpoint \
    --checkpoint_path $CHECKPOINT_DIR