python run_clm_flax.py \ --output_dir="./" \ --model_type="gpt2" \ --model_name_or_path="." \ --config_name="./" \ --tokenizer_name="./" \ --train_file="/mnt/disks/flaxdisk/corpus/train.json" \ --validation_file="/mnt/disks/flaxdisk/corpus/validation.json" \ --cache_dir="/mnt/disks/flaxdisk/cache/" \ --do_train --do_eval \ --block_size="512" \ --per_device_train_batch_size="64" \ --per_device_eval_batch_size="64" \ --learning_rate="5e-3" --warmup_steps="1000" \ --adam_beta1="0.9" --adam_beta2="0.98" --weight_decay="0.01" \ --overwrite_output_dir \ --num_train_epochs="20" \ --logging_steps="500" \ --save_steps="2500" \ --eval_steps="2500" \ --push_to_hub