rnn-lstm_Jigsaw_Toxic_CommentClassification.ipynb

rnn-lstm_jigsaw_toxic_commentclassification.ipynb

@aritrasen87 Thanks for another great noteook, i am getting error:(I have experience the same before an requires some updates)

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NotImplementedError                       Traceback (most recent call last)
Cell In[42], line 2
      1 # start the epochs for training with training and validation dataloaders
----> 2 trainer.fit(model, train_dl, val_dl)

File /usr/local/lib/python3.10/dist-packages/pytorch_lightning/trainer/trainer.py:532, in Trainer.fit(self, model, train_dataloaders, val_dataloaders, datamodule, ckpt_path)
    530 self.strategy._lightning_module = model
    531 _verify_strategy_supports_compile(model, self.strategy)
--> 532 call._call_and_handle_interrupt(
    533     self, self._fit_impl, model, train_dataloaders, val_dataloaders, datamodule, ckpt_path
    534 )

File /usr/local/lib/python3.10/dist-packages/pytorch_lightning/trainer/call.py:43, in _call_and_handle_interrupt(trainer, trainer_fn, *args, **kwargs)
     41     if trainer.strategy.launcher is not None:
     42         return trainer.strategy.launcher.launch(trainer_fn, *args, trainer=trainer, **kwargs)
---> 43     return trainer_fn(*args, **kwargs)
     45 except _TunerExitException:
     46     _call_teardown_hook(trainer)

File /usr/local/lib/python3.10/dist-packages/pytorch_lightning/trainer/trainer.py:571, in Trainer._fit_impl(self, model, train_dataloaders, val_dataloaders, datamodule, ckpt_path)
    561 self._data_connector.attach_data(
    562     model, train_dataloaders=train_dataloaders, val_dataloaders=val_dataloaders, datamodule=datamodule
    563 )
    565 ckpt_path = self._checkpoint_connector._select_ckpt_path(
    566     self.state.fn,
    567     ckpt_path,
    568     model_provided=True,
    569     model_connected=self.lightning_module is not None,
    570 )
--> 571 self._run(model, ckpt_path=ckpt_path)
    573 assert self.state.stopped
    574 self.training = False

File /usr/local/lib/python3.10/dist-packages/pytorch_lightning/trainer/trainer.py:928, in Trainer._run(self, model, ckpt_path)
    925 self._callback_connector._attach_model_callbacks()
    926 self._callback_connector._attach_model_logging_functions()
--> 928 _verify_loop_configurations(self)
    930 # hook
    931 log.debug(f"{self.__class__.__name__}: preparing data")

File /usr/local/lib/python3.10/dist-packages/pytorch_lightning/trainer/configuration_validator.py:37, in _verify_loop_configurations(trainer)
     35     raise ValueError("Unexpected: Trainer state fn must be set before validating loop configuration.")
     36 if trainer.state.fn == TrainerFn.FITTING:
---> 37     __verify_train_val_loop_configuration(trainer, model)
     38     __verify_manual_optimization_support(trainer, model)
     39     __check_training_step_requires_dataloader_iter(model)

File /usr/local/lib/python3.10/dist-packages/pytorch_lightning/trainer/configuration_validator.py:85, in __verify_train_val_loop_configuration(trainer, model)
     78     raise NotImplementedError(
     79         f"Support for `training_epoch_end` has been removed in v2.0.0. `{type(model).__name__}` implements this"
     80         " method. You can use the `on_train_epoch_end` hook instead. To access outputs, save them in-memory as"
     81         " instance attributes."
     82         " You can find migration examples in https://github.com/Lightning-AI/lightning/pull/16520."
     83     )
     84 if callable(getattr(model, "validation_epoch_end", None)):
---> 85     raise NotImplementedError(
     86         f"Support for `validation_epoch_end` has been removed in v2.0.0. `{type(model).__name__}` implements this"
     87         " method. You can use the `on_validation_epoch_end` hook instead. To access outputs, save them in-memory as"
     88         " instance attributes."
     89         " You can find migration examples in https://github.com/Lightning-AI/lightning/pull/16520."
     90     )

NotImplementedError: Support for `validation_epoch_end` has been removed in v2.0.0. `JigsawModel` implements this method. You can use the `on_validation_epoch_end` hook instead. To access outputs, save them in-memory as instance attributes. You can find migration examples in https://github.com/Lightning-AI/lightning/pull/16520.