Initiated training BERT from scratch with run_mlm.py as follows:
python run_mlm.py     --model_type bert
–train_file ./data/mk.txt     --output_dir ./models/bert-base-uncased
–overwrite_output_dir     --tokenizer_name ./models/bert-base-uncased
–line_by_line True     --do_train
–per_device_train_batch_size 4     --num_train_epochs 100
–save_steps 100000     --save_total_limit 500
–max_seq_length 512     --logging_steps 500
–use_fast_tokenizer     --report_to wandb
–disable_tqdm True `
Training stopped due to power outage, having saved latest checkpoint:
.\models\bert-base-uncased\checkpoint-1700000
Which is the most appropriate command, give initial one, to resume training from the last saved checkpoint, and preserving all of the parameters mentioned above?