export WANDB_PROJECT=distil-marian
export BS=64
export m=sshleifer/student_marian_en_ro_6_3
export MAX_LEN=128
export TPU_NUM_CORES=8

python xla_spawn.py --num_cores $TPU_NUM_CORES \
    finetune_trainer.py \
    --tokenizer_name $m --model_name_or_path $m \
    --data_dir $ENRO_DIR \
    --output_dir marian_en_ro_6_3 --overwrite_output_dir \
    --learning_rate=3e-4 \
    --warmup_steps 500 \
    --per_device_train_batch_size=$BS --per_device_eval_batch_size=$BS \
    --freeze_encoder --freeze_embeds \
    --num_train_epochs=6 \
    --save_steps 500 --eval_steps 500 \
    --logging_first_step --logging_steps 200 \
    --max_source_length $MAX_LEN --max_target_length $MAX_LEN --val_max_target_length $MAX_LEN --test_max_target_length $MAX_LEN \
    --do_train --do_eval \
    --evaluation_strategy steps \
    --prediction_loss_only \
    --task translation --label_smoothing 0.1 \
    "$@"
