AttributeError: 'NoneType' object has no attribute 'update'

[ahmed-aleroud]

Salam Hassan

I was trying to run your code for SpanEmo paper. Interesting work by the way. However, I am not sure why when I try to run it on an Arabic dataset, it gives me the following errors and warnings.

AttributeError: 'NoneType' object has no attribute 'update'

Details are below

It looks like it is something related to fastprogress, but I tried every single possibility including upgrading and downgrading some libraries

Any help is appreciated

Thanks

usr/local/lib/python3.9/site-packages/google/colab/data_table.py:30: UserWarning: IPython.utils.traitlets has moved to a top-level traitlets package. from IPython.utils import traitlets as _traitlets Currently using GPU: cuda:0 /usr/local/lib/python3.9/site-packages/ekphrasis/classes/tokenizer.py:225: FutureWarning: Possible nested set at position 2190 self.tok = re.compile(r"({})".format("|".join(pipeline))) Reading twitter_2018 - 1grams ... Reading twitter_2018 - 2grams ... /usr/local/lib/python3.9/site-packages/ekphrasis/classes/exmanager.py:14: FutureWarning: Possible nested set at position 42 regexes = {k.lower(): re.compile(self.expressions[k]) for k, v in Reading twitter_2018 - 1grams ... PreProcessing dataset ...: 0% 0/178 [00:00<?, ?it/s]/usr/local/lib/python3.9/site-packages/transformers/tokenization_utils_base.py:2323: FutureWarning: The pad_to_max_length argument is deprecated and will be removed in a future version, use padding=True or padding='longest' to pad to the longest sequence in the batch, or use padding='max_length' to pad to a max length. In this case, you can give a specific length with max_length (e.g. max_length=45) or leave max_length to None to pad to the maximal input size of the model (e.g. 512 for Bert). warnings.warn( PreProcessing dataset ...: 100% 178/178 [00:01<00:00, 122.84it/s] The number of training batches: 6 Reading twitter_2018 - 1grams ... Reading twitter_2018 - 2grams ... Reading twitter_2018 - 1grams ... PreProcessing dataset ...: 0% 0/178 [00:00<?, ?it/s]/usr/local/lib/python3.9/site-packages/transformers/tokenization_utils_base.py:2323: FutureWarning: The pad_to_max_length argument is deprecated and will be removed in a future version, use padding=True or padding='longest' to pad to the longest sequence in the batch, or use padding='max_length' to pad to a max length. In this case, you can give a specific length with max_length (e.g. max_length=45) or leave max_length to None to pad to the maximal input size of the model (e.g. 512 for Bert). warnings.warn( PreProcessing dataset ...: 100% 178/178 [00:01<00:00, 89.23it/s] The number of validation batches: 6 Some weights of the model checkpoint at asafaya/bert-base-arabic were not used when initializing BertModel: ['cls.predictions.bias', 'cls.predictions.transform.LayerNorm.weight', 'cls.predictions.decoder.weight', 'cls.predictions.transform.dense.bias', 'cls.predictions.decoder.bias', 'cls.predictions.transform.LayerNorm.bias', 'cls.predictions.transform.dense.weight']

• This IS expected if you are initializing BertModel 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 BertModel from the checkpoint of a model that you expect to be exactly identical (initializing a BertForSequenceClassification model from a BertForSequenceClassification model). /usr/local/lib/python3.9/site-packages/transformers/optimization.py:306: FutureWarning: This implementation of AdamW is deprecated and will be removed in a future version. Use the PyTorch implementation torch.optim.AdamW instead, or set no_deprecation_warning=True to disable this warning warnings.warn( ahmed aleroud Traceback (most recent call last): File "/content/SpanEmo/scripts/train.py", line 79, in learn.fit( File "/content/SpanEmo/scripts/learner.py", line 91, in fit for step, batch in enumerate(progress_bar(self.train_data_loader, parent=pbar)): File "/usr/local/lib/python3.9/site-packages/fastprogress/fastprogress.py", line 39, in __iter__ if self.total != 0: self.update(0) File "/usr/local/lib/python3.9/site-packages/fastprogress/fastprogress.py", line 56, in update self.update_bar(0) File "/usr/local/lib/python3.9/site-packages/fastprogress/fastprogress.py", line 76, in update_bar else: self.on_update(val, f'{100 * val/self.total:.2f}% [{val}/{self.total} {elapsed_t}<{remaining_t}{end}]') File "/usr/local/lib/python3.9/site-packages/fastprogress/fastprogress.py", line 126, in on_update elif self.parent is not None: self.parent.show() File "/usr/local/lib/python3.9/site-packages/fastprogress/fastprogress.py", line 168, in show self.out.update(HTML(self.html_code)) AttributeError: 'NoneType' object has no attribute 'update'

[hasanhuz]

Salam alukum ya Ahmed, thanks for your interest in our work. I believe this is because you may not have used the same dependencies as described in the ReadMe and requirements files. I suggest that you check those files and tried again the code. I also noticed that you are using Python 3.9, whereas I used 3.6! Hope this helps, Hassan