argparse.ArgumentError appears when trying to train the module

[JihadZoabi]

I tried to train the module with both scripts that are in the readme file, and both resulted in argparse.ArgumentError
I tried running:

python run_mgb3.py \
    --model_name_or_path="facebook/wav2vec2-large-xlsr-53" \
    --output_dir=/path/to/output \
    --cache_dir=/path/to/cache/ \
    --freeze_feature_extractor \
    --num_train_epochs="50" \
    --per_device_train_batch_size="32" \
    --preprocessing_num_workers="1" \
    --learning_rate="3e-5" \
    --warmup_steps="20" \
    --evaluation_strategy="steps"\
    --save_steps="100" \
    --eval_steps="100" \
    --save_total_limit="1" \
    --logging_steps="100" \
    --do_eval \
    --do_train \

and also

python run_common_voice.py \
    --model_name_or_path="facebook/wav2vec2-large-xlsr-53" \
    --dataset_config_name="ar" \
    --output_dir=/path/to/output/ \
    --cache_dir=/path/to/cache \
    --overwrite_output_dir \
    --num_train_epochs="1" \
    --per_device_train_batch_size="32" \
    --per_device_eval_batch_size="32" \
    --evaluation_strategy="steps" \
    --learning_rate="3e-4" \
    --warmup_steps="500" \
    --fp16 \
    --freeze_feature_extractor \
    --save_steps="10" \
    --eval_steps="10" \
    --save_total_limit="1" \
    --logging_steps="10" \
    --group_by_length \
    --feat_proj_dropout="0.0" \
    --layerdrop="0.1" \
    --gradient_checkpointing \
    --do_train --do_eval \
    --max_train_samples 100 --max_val_samples 100

and both codes resulted in this Error:

_2022-04-24 19:02:16.824403: W tensorflow/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'cudart64_110.dll'; dlerror: cudart64_110.dll not found
2022-04-24 19:02:16.824670: I tensorflow/stream_executor/cuda/cudart_stub.cc:29] Ignore above cudart dlerror if you do not have a GPU set up on your machine.
Traceback (most recent call last):
File "C:\Users\user\PycharmProjects\pythonProject1\klaam\run_mgb3.py", line 523, in
main()
File "C:\Users\user\PycharmProjects\pythonProject1\klaam\run_mgb3.py", line 263, in main
parser = HfArgumentParser((ModelArguments, DataTrainingArguments, TrainingArguments))
File "C:\Users\user\AppData\Local\Packages\PythonSoftwareFoundation.Python.3.9_qbz5n2kfra8p0\LocalCache\local-packages\Python39\site-packages\transformers\hf_argparser.py", line 71, in init
self._add_dataclass_arguments(dtype)
File "C:\Users\user\AppData\Local\Packages\PythonSoftwareFoundation.Python.3.9_qbz5n2kfra8p0\LocalCache\local-packages\Python39\site-packages\transformers\hf_argparser.py", line 166, in _add_dataclass_arguments
self._parse_dataclass_field(parser, field)
File "C:\Users\user\AppData\Local\Packages\PythonSoftwareFoundation.Python.3.9_qbz5n2kfra8p0\LocalCache\local-packages\Python39\site-packages\transformers\hf_argparser.py", line 137, in _parse_dataclass_field
parser.add_argument(field_name, **kwargs)
File "C:\Program Files\WindowsApps\PythonSoftwareFoundation.Python.3.9_3.9.3312.0_x64__qbz5n2kfra8p0\lib\argparse.py", line 1440, in add_argument
return self._add_action(action)
File "C:\Program Files\WindowsApps\PythonSoftwareFoundation.Python.3.9_3.9.3312.0_x64__qbz5n2kfra8p0\lib\argparse.py", line 1805, in _add_action
self._optionals._add_action(action)
File "C:\Program Files\WindowsApps\PythonSoftwareFoundation.Python.3.9_3.9.3312.0_x64__qbz5n2kfra8p0\lib\argparse.py", line 1642, in _add_action
action = super(_ArgumentGroup, self)._add_action(action)
File "C:\Program Files\WindowsApps\PythonSoftwareFoundation.Python.3.9_3.9.3312.0_x64__qbz5n2kfra8p0\lib\argparse.py", line 1454, in _add_action
self._check_conflict(action)
File "C:\Program Files\WindowsApps\PythonSoftwareFoundation.Python.3.9_3.9.3312.0_x64__qbz5n2kfra8p0\lib\argparse.py", line 1591, in _check_conflict
conflict_handler(action, confl_optionals)
File "C:\Program Files\WindowsApps\PythonSoftwareFoundation.Python.3.9_3.9.3312.0_x64__qbz5n2kfra8p0\lib\argparse.py", line 1600, in handle_conflict_error
raise ArgumentError(action, message % conflict_string)
argparse.ArgumentError: argument --gradient_checkpointing: conflicting option string: --gradient_checkpointing

I reproduced the error by running it on another machine and still got it.
Any suggestions to how to fix it?

[lolcraftafk1]

I've encountered the same error trying to train it.

[zaidalyafeai]

removed the need for gradient_checkpointing as an argument, it should work now.