TypeError: Wav2Vec2FeatureExtractor.__call__() missing 1 required positional argument: 'raw_speech'
HelloI am followinh tutorial “Fine-Tuning week of XLSR-Wav2Vec2 on 60 languages”I am just copy pasting the code. I am trying to run “run_common_voices.py” script with following parameters:python run_common_voice.py–model_name_or_path=“facebook/wav2vec2-large-xlsr-53”–dataset_config_name=“ka”–output_dir=./wav2vec2-large-xlsr-georgian-demo–overwrite_output_dir–num_train_epochs=“5”–per_device_train_batch_size=“16”–learning_rate=“3e-4”–warmup_steps=“500”–evaluation_strategy=“steps”–save_steps=“400”–eval_steps=“400”–logging_steps=“400”–save_total_limit=“3”–freeze_feature_extractor–feat_proj_dropout=“0.0”–layerdrop=“0.1”–gradient_checkpointing–fp16–group_by_length–do_train --do_evalbut I am getting the following error:loading weights filehttps://huggingface.co/facebook/wav2vec2-large-xlsr-53/resolve/main/pytorch_model.binfrom cache at /home/pavle/.cache/huggingface/transformers/5d2a20b45a1689a376ec4a6282b9d9be42f931cdf8daf07c3668ba1070a059d9.622b46163a38532eae8ac5423b0481dfc0b9ea401af488b5141772bdff889079Some weights of the model checkpoint at facebook/wav2vec2-large-xlsr-53 were not used when initializing Wav2Vec2ForCTC: [‘project_hid.bias’, ‘quantizer.weight_proj.bias’, ‘project_q.weight’, ‘project_hid.weight’, ‘project_q.bias’, ‘quantizer.codevectors’, ‘quantizer.weight_proj.weight’]This IS expected if you are initializing Wav2Vec2ForCTC from the checkpoint of a model trained on another task or with another architecture (e.g. initializing a BertForSequenceClassification model from a BertForPreTraining model).This IS NOT expected if you are initializing Wav2Vec2ForCTC from the checkpoint of a model that you expect to be exactly identical (initializing a BertForSequenceClassification model from a BertForSequenceClassification model).Some weights of Wav2Vec2ForCTC were not initialized from the model checkpoint at facebook/wav2vec2-large-xlsr-53 and are newly initialized: [‘lm_head.weight’, ‘lm_head.bias’]You should probably TRAIN this model on a down-stream task to be able to use it for predictions and inference.100%|████████████████████████████████████████████████████████████████████████████| 1585/1585 [00:17<00:00, 92.73ex/s]100%|██████████████████████████████████████████████████████████████████████████████| 656/656 [00:07<00:00, 87.72ex/s]0%|                                                                                        | 0/100 [00:00<?, ?ba/s]Traceback (most recent call last):File “/home/pavle/Dev/ai/Georgian/transformers/examples/research_projects/wav2vec2/run_common_voice.py”, line 513, inmain()File “/home/pavle/Dev/ai/Georgian/transformers/examples/research_projects/wav2vec2/run_common_voice.py”, line 423, in maintrain_dataset = train_dataset.map(File “/home/pavle/.local/lib/python3.10/site-packages/datasets/arrow_dataset.py”, line 2387, in mapreturn self._map_single(File “/home/pavle/.local/lib/python3.10/site-packages/datasets/arrow_dataset.py”, line 557, in wrapperout: Union[“Dataset”, “DatasetDict”] = func(self, *args, **kwargs)File “/home/pavle/.local/lib/python3.10/site-packages/datasets/arrow_dataset.py”, line 524, in wrapperout: Union[“Dataset”, “DatasetDict”] = func(self, *args, **kwargs)File “/home/pavle/.local/lib/python3.10/site-packages/datasets/fingerprint.py”, line 480, in wrapperout = func(self, *args, **kwargs)File “/home/pavle/.local/lib/python3.10/site-packages/datasets/arrow_dataset.py”, line 2775, in _map_singlebatch = apply_function_on_filtered_inputs(File “/home/pavle/.local/lib/python3.10/site-packages/datasets/arrow_dataset.py”, line 2655, in apply_function_on_filtered_inputsprocessed_inputs = function(*fn_args, *additional_args, **fn_kwargs)File “/home/pavle/.local/lib/python3.10/site-packages/datasets/arrow_dataset.py”, line 2347, in decoratedresult = f(decorated_item, *args, **kwargs)File “/home/pavle/Dev/ai/Georgian/transformers/examples/research_projects/wav2vec2/run_common_voice.py”, line 417, in prepare_datasetprocessed_batch = processor(File “/home/pavle/.local/lib/python3.10/site-packages/transformers/models/wav2vec2/processing_wav2vec2.py”, line 73, incallreturn self.current_processor(*args, **kwargs)TypeError: Wav2Vec2FeatureExtractor.call() missing 1 required positional argument: ‘raw_speech’I looked everywhere but I am unable to find anything about this