I have issue with model.fit class NoneType

[dtanhphuong1189]

Hi, thanks a lot for helping me, I'm really struggling with this homework.

I'm running my code on my laptop. I am using your dataset in the Tutorial in 5. Speech to text. here are some of details of my implementation:

training code in google colab: https://drive.google.com/file/d/1UGk49m0qeAb8XMEFCeJq6n8hOEvfg_da/view?usp=sharing training code in laptop: https://drive.google.com/file/d/1OxuDo-rvNJM2j5kjUMdJpqKk1YpCT5CB/view?usp=drive_link I uploaded the dataset provided by my professor and the mltu just update today

All cells can run without encountering any errors until the last cell:

model.fit( train_data_provider, validation_data=val_data_provider, epochs=configs.train_epochs, callbacks=[earlystopper, checkpoint, trainLogger, reduceLROnPlat, tb_callback, model2onnx], workers=configs.train_workers )

where the error popped up: ValueError: Failed to find data adapter that can handle input: <class 'mltu.torch.dataProvider.DataProvider'>, <class 'NoneType'>

If you need any other details of my implementation to find out what caused the error, please let me know. I really appreciate the help.

[pythonlessons]

Hi, saw your comment on another issue, I'll review it later, but <class 'NoneType'> means you are feeding None as label, so there will be some issue with your preprocessing of data

[dtanhphuong1189]

I updated my code. In my local I change some line in dataProvider.py

Validate dataset

self._dataset = self.validate(dataset)

if not skip_validation:

#self._dataset = self.validate(dataset)

else:

#self.logger.info("Skipping Dataset validation...")
it shows "Validating Dataset". I think it is ok. In the colab, i cannot change it, I think it show error

I double check train_data_provider._dataset and val_data_provider._dataset, it has data Although, there doesnt have any error when running in local, my model.fit still has error

[dtanhphuong1189]

@pythonlessons Do you have any update for my issue. Please, I need your help

[pythonlessons]

Hi, you need to be more attentive when you refactor code and write it your self. You are using from mltu.torch.dataProvider import DataProvider when you should use from mltu.tensorflow.dataProvider import DataProvider with TensorFlow

[pythonlessons]

I assume its solved