Any workaround to fix word embedding look-up error for keras model?












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I am working with character level cnn model for sentence classification, and I used keras framework to build my model. However, model compilation was good, but when I tried to fit my model I faced following embedding lookup error:



Train on 10240 samples, validate on 1284 samples
Epoch 1/30
---------------------------------------------------------------------------
InvalidArgumentError Traceback (most recent call last)
<ipython-input-57-15a1aa414e1a> in <module>
1 history_char= model_char.fit(x_train,y_train,epochs=num_epochs, batch_size=batch_size,
----> 2 validation_data=(x_val,y_val))
3
4 # model_char.fit(x_train,y_train,epochs=10, batch_size=64, validation_data=(x_val, y_val))

~AppDataLocalContinuumanaconda3libsite-packageskerasenginetraining.py in fit(self, x, y, batch_size, epochs, verbose, callbacks, validation_split, validation_data, shuffle, class_weight, sample_weight, initial_epoch, steps_per_epoch, validation_steps, **kwargs)
1037 initial_epoch=initial_epoch,
1038 steps_per_epoch=steps_per_epoch,
-> 1039 validation_steps=validation_steps)
1040
1041 def evaluate(self, x=None, y=None,

~AppDataLocalContinuumanaconda3libsite-packageskerasenginetraining_arrays.py in fit_loop(model, f, ins, out_labels, batch_size, epochs, verbose, callbacks, val_f, val_ins, shuffle, callback_metrics, initial_epoch, steps_per_epoch, validation_steps)
197 ins_batch[i] = ins_batch[i].toarray()
198
--> 199 outs = f(ins_batch)
200 outs = to_list(outs)
201 for l, o in zip(out_labels, outs):

~AppDataLocalContinuumanaconda3libsite-packageskerasbackendtensorflow_backend.py in __call__(self, inputs)
2713 return self._legacy_call(inputs)
2714
-> 2715 return self._call(inputs)
2716 else:
2717 if py_any(is_tensor(x) for x in inputs):

~AppDataLocalContinuumanaconda3libsite-packageskerasbackendtensorflow_backend.py in _call(self, inputs)
2673 fetched = self._callable_fn(*array_vals, run_metadata=self.run_metadata)
2674 else:
-> 2675 fetched = self._callable_fn(*array_vals)
2676 return fetched[:len(self.outputs)]
2677

~AppDataLocalContinuumanaconda3libsite-packagestensorflowpythonclientsession.py in __call__(self, *args, **kwargs)
1437 ret = tf_session.TF_SessionRunCallable(
1438 self._session._session, self._handle, args, status,
-> 1439 run_metadata_ptr)
1440 if run_metadata:
1441 proto_data = tf_session.TF_GetBuffer(run_metadata_ptr)

~AppDataLocalContinuumanaconda3libsite-packagestensorflowpythonframeworkerrors_impl.py in __exit__(self, type_arg, value_arg, traceback_arg)
526 None, None,
527 compat.as_text(c_api.TF_Message(self.status.status)),
--> 528 c_api.TF_GetCode(self.status.status))
529 # Delete the underlying status object from memory otherwise it stays alive
530 # as there is a reference to status from this from the traceback due to

InvalidArgumentError: indices[120,0] = 516 is not in [0, 70)
[[{{node embedding_14/embedding_lookup}}]]


here is basic architecture of keras model (screenshot):



enter image description here









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    I am working with character level cnn model for sentence classification, and I used keras framework to build my model. However, model compilation was good, but when I tried to fit my model I faced following embedding lookup error:



    Train on 10240 samples, validate on 1284 samples
    Epoch 1/30
    ---------------------------------------------------------------------------
    InvalidArgumentError Traceback (most recent call last)
    <ipython-input-57-15a1aa414e1a> in <module>
    1 history_char= model_char.fit(x_train,y_train,epochs=num_epochs, batch_size=batch_size,
    ----> 2 validation_data=(x_val,y_val))
    3
    4 # model_char.fit(x_train,y_train,epochs=10, batch_size=64, validation_data=(x_val, y_val))

    ~AppDataLocalContinuumanaconda3libsite-packageskerasenginetraining.py in fit(self, x, y, batch_size, epochs, verbose, callbacks, validation_split, validation_data, shuffle, class_weight, sample_weight, initial_epoch, steps_per_epoch, validation_steps, **kwargs)
    1037 initial_epoch=initial_epoch,
    1038 steps_per_epoch=steps_per_epoch,
    -> 1039 validation_steps=validation_steps)
    1040
    1041 def evaluate(self, x=None, y=None,

    ~AppDataLocalContinuumanaconda3libsite-packageskerasenginetraining_arrays.py in fit_loop(model, f, ins, out_labels, batch_size, epochs, verbose, callbacks, val_f, val_ins, shuffle, callback_metrics, initial_epoch, steps_per_epoch, validation_steps)
    197 ins_batch[i] = ins_batch[i].toarray()
    198
    --> 199 outs = f(ins_batch)
    200 outs = to_list(outs)
    201 for l, o in zip(out_labels, outs):

    ~AppDataLocalContinuumanaconda3libsite-packageskerasbackendtensorflow_backend.py in __call__(self, inputs)
    2713 return self._legacy_call(inputs)
    2714
    -> 2715 return self._call(inputs)
    2716 else:
    2717 if py_any(is_tensor(x) for x in inputs):

    ~AppDataLocalContinuumanaconda3libsite-packageskerasbackendtensorflow_backend.py in _call(self, inputs)
    2673 fetched = self._callable_fn(*array_vals, run_metadata=self.run_metadata)
    2674 else:
    -> 2675 fetched = self._callable_fn(*array_vals)
    2676 return fetched[:len(self.outputs)]
    2677

    ~AppDataLocalContinuumanaconda3libsite-packagestensorflowpythonclientsession.py in __call__(self, *args, **kwargs)
    1437 ret = tf_session.TF_SessionRunCallable(
    1438 self._session._session, self._handle, args, status,
    -> 1439 run_metadata_ptr)
    1440 if run_metadata:
    1441 proto_data = tf_session.TF_GetBuffer(run_metadata_ptr)

    ~AppDataLocalContinuumanaconda3libsite-packagestensorflowpythonframeworkerrors_impl.py in __exit__(self, type_arg, value_arg, traceback_arg)
    526 None, None,
    527 compat.as_text(c_api.TF_Message(self.status.status)),
    --> 528 c_api.TF_GetCode(self.status.status))
    529 # Delete the underlying status object from memory otherwise it stays alive
    530 # as there is a reference to status from this from the traceback due to

    InvalidArgumentError: indices[120,0] = 516 is not in [0, 70)
    [[{{node embedding_14/embedding_lookup}}]]


    here is basic architecture of keras model (screenshot):



    enter image description here









    share







    New contributor




    beyond_inifinity is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
    Check out our Code of Conduct.







    $endgroup$















      0












      0








      0





      $begingroup$


      I am working with character level cnn model for sentence classification, and I used keras framework to build my model. However, model compilation was good, but when I tried to fit my model I faced following embedding lookup error:



      Train on 10240 samples, validate on 1284 samples
      Epoch 1/30
      ---------------------------------------------------------------------------
      InvalidArgumentError Traceback (most recent call last)
      <ipython-input-57-15a1aa414e1a> in <module>
      1 history_char= model_char.fit(x_train,y_train,epochs=num_epochs, batch_size=batch_size,
      ----> 2 validation_data=(x_val,y_val))
      3
      4 # model_char.fit(x_train,y_train,epochs=10, batch_size=64, validation_data=(x_val, y_val))

      ~AppDataLocalContinuumanaconda3libsite-packageskerasenginetraining.py in fit(self, x, y, batch_size, epochs, verbose, callbacks, validation_split, validation_data, shuffle, class_weight, sample_weight, initial_epoch, steps_per_epoch, validation_steps, **kwargs)
      1037 initial_epoch=initial_epoch,
      1038 steps_per_epoch=steps_per_epoch,
      -> 1039 validation_steps=validation_steps)
      1040
      1041 def evaluate(self, x=None, y=None,

      ~AppDataLocalContinuumanaconda3libsite-packageskerasenginetraining_arrays.py in fit_loop(model, f, ins, out_labels, batch_size, epochs, verbose, callbacks, val_f, val_ins, shuffle, callback_metrics, initial_epoch, steps_per_epoch, validation_steps)
      197 ins_batch[i] = ins_batch[i].toarray()
      198
      --> 199 outs = f(ins_batch)
      200 outs = to_list(outs)
      201 for l, o in zip(out_labels, outs):

      ~AppDataLocalContinuumanaconda3libsite-packageskerasbackendtensorflow_backend.py in __call__(self, inputs)
      2713 return self._legacy_call(inputs)
      2714
      -> 2715 return self._call(inputs)
      2716 else:
      2717 if py_any(is_tensor(x) for x in inputs):

      ~AppDataLocalContinuumanaconda3libsite-packageskerasbackendtensorflow_backend.py in _call(self, inputs)
      2673 fetched = self._callable_fn(*array_vals, run_metadata=self.run_metadata)
      2674 else:
      -> 2675 fetched = self._callable_fn(*array_vals)
      2676 return fetched[:len(self.outputs)]
      2677

      ~AppDataLocalContinuumanaconda3libsite-packagestensorflowpythonclientsession.py in __call__(self, *args, **kwargs)
      1437 ret = tf_session.TF_SessionRunCallable(
      1438 self._session._session, self._handle, args, status,
      -> 1439 run_metadata_ptr)
      1440 if run_metadata:
      1441 proto_data = tf_session.TF_GetBuffer(run_metadata_ptr)

      ~AppDataLocalContinuumanaconda3libsite-packagestensorflowpythonframeworkerrors_impl.py in __exit__(self, type_arg, value_arg, traceback_arg)
      526 None, None,
      527 compat.as_text(c_api.TF_Message(self.status.status)),
      --> 528 c_api.TF_GetCode(self.status.status))
      529 # Delete the underlying status object from memory otherwise it stays alive
      530 # as there is a reference to status from this from the traceback due to

      InvalidArgumentError: indices[120,0] = 516 is not in [0, 70)
      [[{{node embedding_14/embedding_lookup}}]]


      here is basic architecture of keras model (screenshot):



      enter image description here









      share







      New contributor




      beyond_inifinity is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
      Check out our Code of Conduct.







      $endgroup$




      I am working with character level cnn model for sentence classification, and I used keras framework to build my model. However, model compilation was good, but when I tried to fit my model I faced following embedding lookup error:



      Train on 10240 samples, validate on 1284 samples
      Epoch 1/30
      ---------------------------------------------------------------------------
      InvalidArgumentError Traceback (most recent call last)
      <ipython-input-57-15a1aa414e1a> in <module>
      1 history_char= model_char.fit(x_train,y_train,epochs=num_epochs, batch_size=batch_size,
      ----> 2 validation_data=(x_val,y_val))
      3
      4 # model_char.fit(x_train,y_train,epochs=10, batch_size=64, validation_data=(x_val, y_val))

      ~AppDataLocalContinuumanaconda3libsite-packageskerasenginetraining.py in fit(self, x, y, batch_size, epochs, verbose, callbacks, validation_split, validation_data, shuffle, class_weight, sample_weight, initial_epoch, steps_per_epoch, validation_steps, **kwargs)
      1037 initial_epoch=initial_epoch,
      1038 steps_per_epoch=steps_per_epoch,
      -> 1039 validation_steps=validation_steps)
      1040
      1041 def evaluate(self, x=None, y=None,

      ~AppDataLocalContinuumanaconda3libsite-packageskerasenginetraining_arrays.py in fit_loop(model, f, ins, out_labels, batch_size, epochs, verbose, callbacks, val_f, val_ins, shuffle, callback_metrics, initial_epoch, steps_per_epoch, validation_steps)
      197 ins_batch[i] = ins_batch[i].toarray()
      198
      --> 199 outs = f(ins_batch)
      200 outs = to_list(outs)
      201 for l, o in zip(out_labels, outs):

      ~AppDataLocalContinuumanaconda3libsite-packageskerasbackendtensorflow_backend.py in __call__(self, inputs)
      2713 return self._legacy_call(inputs)
      2714
      -> 2715 return self._call(inputs)
      2716 else:
      2717 if py_any(is_tensor(x) for x in inputs):

      ~AppDataLocalContinuumanaconda3libsite-packageskerasbackendtensorflow_backend.py in _call(self, inputs)
      2673 fetched = self._callable_fn(*array_vals, run_metadata=self.run_metadata)
      2674 else:
      -> 2675 fetched = self._callable_fn(*array_vals)
      2676 return fetched[:len(self.outputs)]
      2677

      ~AppDataLocalContinuumanaconda3libsite-packagestensorflowpythonclientsession.py in __call__(self, *args, **kwargs)
      1437 ret = tf_session.TF_SessionRunCallable(
      1438 self._session._session, self._handle, args, status,
      -> 1439 run_metadata_ptr)
      1440 if run_metadata:
      1441 proto_data = tf_session.TF_GetBuffer(run_metadata_ptr)

      ~AppDataLocalContinuumanaconda3libsite-packagestensorflowpythonframeworkerrors_impl.py in __exit__(self, type_arg, value_arg, traceback_arg)
      526 None, None,
      527 compat.as_text(c_api.TF_Message(self.status.status)),
      --> 528 c_api.TF_GetCode(self.status.status))
      529 # Delete the underlying status object from memory otherwise it stays alive
      530 # as there is a reference to status from this from the traceback due to

      InvalidArgumentError: indices[120,0] = 516 is not in [0, 70)
      [[{{node embedding_14/embedding_lookup}}]]


      here is basic architecture of keras model (screenshot):



      enter image description here







      deep-learning keras





      share







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      beyond_inifinity is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
      Check out our Code of Conduct.










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      asked 4 mins ago









      beyond_inifinitybeyond_inifinity

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      beyond_inifinity is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
      Check out our Code of Conduct.






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