Train bert from scratch using run_mlm.py
followingthe huggingface exampleI ran:python run_mlm.py–model_type bert–tokenizer_name roberta-base–dataset_name wikitext–dataset_config_name wikitext-2-raw-v1–output_dir /tmp/mlm-full/However the above script finished pre-maturely without training:Dropping the following result as it does not have all the necessary fields:{‘task’: {‘name’: ‘Masked Language Modeling’, ‘type’: ‘fill-mask’}, ‘dataset’: {‘name’: ‘wikitext wikitext-2-raw-v1’, ‘type’: ‘wikitext’, ‘args’: ‘wikitext-2-raw-v1’}}how do i do atrain from scratch?  any arguments i missed?  I am a beginner.