python3 ./xla_spawn.py \ --num_cores 8 \ ./run_mlm.py \ --output_dir="./" \ --model_type="roberta" \ --config_name="./" \ --tokenizer_name="./" \ --dataset_name="NbAiLab/NCC_small" \ --max_seq_length="128" \ --weight_decay="0.01" \ --per_device_train_batch_size="232" \ --per_device_eval_batch_size="232" \ --learning_rate="6e-4" \ --warmup_steps="10000" \ --overwrite_output_dir \ --num_train_epochs ="10" \ --adam_beta1="0.9" \ --adam_beta2="0.98" \ --logging_steps="10000" \ --save_steps="50000" \ --eval_steps="50000" \ --adafactor \ --push_to_hub