run_mlm.py: error: argument
I just found today that transformers/examples/language-modeling/run_language_modeling.py"  has now been changed to transformers/examples/language-modeling. Everything fine for me when was using run_language_modeling.py. But with the new change, I am getting the error that, **run_mlm.py: error: argument --mlm_probability: expected one argument** I could not find the reason despite spending many hours on it.

!python "/content/transformers/examples/language-modeling/run_mlm.py" \
    --output_dir "/content/drive/My Drive/Ottawa_citit" \
    --model_type roberta \
    --model_name_or_path roberta-base \
    --do_train \
    --per_gpu_train_batch_size 16 \
    --seed 42 \
    --train_data_file "/content/input_text.txt" \
    --block_size 512 \
    --line_by_line \
    --learning_rate 6e-4 \
    --num_train_epochs 4 \
    --save_total_limit 2 \
    --run_name high_mlm_prob \
    --save_steps 200 \
    --mlm\
    --weight_decay 0.01 \
    --mlm_probability 0.15 

Thanks!!
Note that the old script is still available [here](https://github.com/huggingface/transformers/blob/master/examples/contrib/legacy/run_language_modeling.py).

The new one expects slightly different arguments:
- you should remove the `mlm` flag now, since the script has been split in several others
- `train_data_file` is now `train_file`
- there is no `model_type` argument anymore as this is not necessary when we have the model checkpoint
- `block_size` has been renamed `max_seq_length`<|||||>Thank you so much!!!

You saved my day <|||||>I am getting the following error while running the below code. Could anyone please help me with this?

!python "/content/transformers/examples/language-modeling/run_mlm.py" \
--output_dir "/content/drive/MyDrive/Bert_models/test-mlm" \
--model_name_or_path "/content/bert-base-uncased" \
--do_train \
--do_eval \
--train_file "/content/train.txt" \
--validation_file "/content/test.txt" \


Error:
[INFO|modeling_utils.py:1022] 2020-12-26 10:18:28,002 >> loading weights file /content/bert-base-uncased/pytorch_model.bin
Traceback (most recent call last):
  File "/usr/local/lib/python3.6/dist-packages/transformers/modeling_utils.py", line 1035, in from_pretrained
    state_dict = torch.load(resolved_archive_file, map_location="cpu")
  File "/usr/local/lib/python3.6/dist-packages/torch/serialization.py", line 595, in load
    return _legacy_load(opened_file, map_location, pickle_module, **pickle_load_args)
  File "/usr/local/lib/python3.6/dist-packages/torch/serialization.py", line 764, in _legacy_load
    magic_number = pickle_module.load(f, **pickle_load_args)
_pickle.UnpicklingError: invalid load key, 'v'.

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "/content/transformers/examples/language-modeling/run_mlm.py", line 420, in <module>
    main()
  File "/content/transformers/examples/language-modeling/run_mlm.py", line 264, in main
    cache_dir=model_args.cache_dir,
  File "/usr/local/lib/python3.6/dist-packages/transformers/models/auto/modeling_auto.py", line 1092, in from_pretrained
    pretrained_model_name_or_path, *model_args, config=config, **kwargs
  File "/usr/local/lib/python3.6/dist-packages/transformers/modeling_utils.py", line 1038, in from_pretrained
    f"Unable to load weights from pytorch checkpoint file for '{pretrained_model_name_or_path}' "
OSError: Unable to load weights from pytorch checkpoint file for '/content/bert-base-uncased' at '/content/bert-base-uncased/pytorch_model.bin'If you tried to load a PyTorch model from a TF 2.0 checkpoint, please set from_tf=True. <|||||>This issue has been automatically marked as stale because it has not had recent activity. If you think this still needs to be addressed please comment on this thread.

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