TensorFlow crashes for NER task using large data












0















I am using the NER implementation in NER. with this configuration:



# embeddings
dim_word = 300
dim_char = 100

# training
train_embeddings = False
nepochs = 15
dropout = 0.5
batch_size = 20
lr_method = "adam"
lr = 0.001
lr_decay = 0.9
clip = -1 # if negative, no clipping
nepoch_no_imprv = 3

# model hyperparameters
hidden_size_char = 100 # lstm on chars
hidden_size_lstm = 300 # lstm on word embeddings


The size of the training data I have is 3000 sentences. When I just use ca. 2500 sentences the training is done without any issue. When I use all training sentences I got this error:



 Epoch 1 out of 15
58/115 [==============>...............] - ETA: 734s - train loss: 15.6397Traceback (most recent call last):
File "**/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 1334, in _do_call
return fn(*args)
File "**/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 1319, in _run_fn
options, feed_dict, fetch_list, target_list, run_metadata)
File "**/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 1407, in _call_tf_sessionrun
run_metadata)
tensorflow.python.framework.errors_impl.InvalidArgumentError: indices[1,21,0] = 136 is not in [0, 136)
[[{{node chars/char_embeddings}} = GatherV2[Taxis=DT_INT32, Tindices=DT_INT32, Tparams=DT_FLOAT, _class=["loc:@train_step/Adam/update_chars/_char_embeddings/AssignSub"], _device="/job:localhost/replica:0/task:0/device:CPU:0"](chars/_char_embeddings/read, _arg_char_ids_0_0, chars/char_embeddings/axis)]]

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
File "train.py", line 26, in <module>
main()
File "train.py", line 23, in main
model.train(train, dev)
File "**/base_model.py", line 121, in train
score = self.run_epoch(train, dev, epoch)
File "**/model/ner_model.py", line 287, in run_epoch
[self.train_op, self.loss, self.merged], feed_dict=fd)
File "**/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 929, in run
run_metadata_ptr)
File "**/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 1152, in _run
feed_dict_tensor, options, run_metadata)
File "/***/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 1328, in _do_run
run_metadata)
File "**/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 1348, in _do_call
raise type(e)(node_def, op, message)
tensorflow.python.framework.errors_impl.InvalidArgumentError: indices[1,21,0] = 136 is not in [0, 136)
[[node chars/char_embeddings (defined at **/model/ner_model.py:128) = GatherV2[Taxis=DT_INT32, Tindices=DT_INT32, Tparams=DT_FLOAT, _class=["loc:@train_step/Adam/update_chars/_char_embeddings/AssignSub"], _device="/job:localhost/replica:0/task:0/device:CPU:0"](chars/_char_embeddings/read, _arg_char_ids_0_0, chars/char_embeddings/axis)]]


Hardware infos:



x86_64 x86_64 x86_64 GNU/Linux
CPU MHz: 1200.671
CPU max MHz: 3500.0000
Memory 503 GB









share|improve this question





























    0















    I am using the NER implementation in NER. with this configuration:



    # embeddings
    dim_word = 300
    dim_char = 100

    # training
    train_embeddings = False
    nepochs = 15
    dropout = 0.5
    batch_size = 20
    lr_method = "adam"
    lr = 0.001
    lr_decay = 0.9
    clip = -1 # if negative, no clipping
    nepoch_no_imprv = 3

    # model hyperparameters
    hidden_size_char = 100 # lstm on chars
    hidden_size_lstm = 300 # lstm on word embeddings


    The size of the training data I have is 3000 sentences. When I just use ca. 2500 sentences the training is done without any issue. When I use all training sentences I got this error:



     Epoch 1 out of 15
    58/115 [==============>...............] - ETA: 734s - train loss: 15.6397Traceback (most recent call last):
    File "**/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 1334, in _do_call
    return fn(*args)
    File "**/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 1319, in _run_fn
    options, feed_dict, fetch_list, target_list, run_metadata)
    File "**/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 1407, in _call_tf_sessionrun
    run_metadata)
    tensorflow.python.framework.errors_impl.InvalidArgumentError: indices[1,21,0] = 136 is not in [0, 136)
    [[{{node chars/char_embeddings}} = GatherV2[Taxis=DT_INT32, Tindices=DT_INT32, Tparams=DT_FLOAT, _class=["loc:@train_step/Adam/update_chars/_char_embeddings/AssignSub"], _device="/job:localhost/replica:0/task:0/device:CPU:0"](chars/_char_embeddings/read, _arg_char_ids_0_0, chars/char_embeddings/axis)]]

    During handling of the above exception, another exception occurred:

    Traceback (most recent call last):
    File "train.py", line 26, in <module>
    main()
    File "train.py", line 23, in main
    model.train(train, dev)
    File "**/base_model.py", line 121, in train
    score = self.run_epoch(train, dev, epoch)
    File "**/model/ner_model.py", line 287, in run_epoch
    [self.train_op, self.loss, self.merged], feed_dict=fd)
    File "**/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 929, in run
    run_metadata_ptr)
    File "**/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 1152, in _run
    feed_dict_tensor, options, run_metadata)
    File "/***/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 1328, in _do_run
    run_metadata)
    File "**/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 1348, in _do_call
    raise type(e)(node_def, op, message)
    tensorflow.python.framework.errors_impl.InvalidArgumentError: indices[1,21,0] = 136 is not in [0, 136)
    [[node chars/char_embeddings (defined at **/model/ner_model.py:128) = GatherV2[Taxis=DT_INT32, Tindices=DT_INT32, Tparams=DT_FLOAT, _class=["loc:@train_step/Adam/update_chars/_char_embeddings/AssignSub"], _device="/job:localhost/replica:0/task:0/device:CPU:0"](chars/_char_embeddings/read, _arg_char_ids_0_0, chars/char_embeddings/axis)]]


    Hardware infos:



    x86_64 x86_64 x86_64 GNU/Linux
    CPU MHz: 1200.671
    CPU max MHz: 3500.0000
    Memory 503 GB









    share|improve this question



























      0












      0








      0








      I am using the NER implementation in NER. with this configuration:



      # embeddings
      dim_word = 300
      dim_char = 100

      # training
      train_embeddings = False
      nepochs = 15
      dropout = 0.5
      batch_size = 20
      lr_method = "adam"
      lr = 0.001
      lr_decay = 0.9
      clip = -1 # if negative, no clipping
      nepoch_no_imprv = 3

      # model hyperparameters
      hidden_size_char = 100 # lstm on chars
      hidden_size_lstm = 300 # lstm on word embeddings


      The size of the training data I have is 3000 sentences. When I just use ca. 2500 sentences the training is done without any issue. When I use all training sentences I got this error:



       Epoch 1 out of 15
      58/115 [==============>...............] - ETA: 734s - train loss: 15.6397Traceback (most recent call last):
      File "**/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 1334, in _do_call
      return fn(*args)
      File "**/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 1319, in _run_fn
      options, feed_dict, fetch_list, target_list, run_metadata)
      File "**/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 1407, in _call_tf_sessionrun
      run_metadata)
      tensorflow.python.framework.errors_impl.InvalidArgumentError: indices[1,21,0] = 136 is not in [0, 136)
      [[{{node chars/char_embeddings}} = GatherV2[Taxis=DT_INT32, Tindices=DT_INT32, Tparams=DT_FLOAT, _class=["loc:@train_step/Adam/update_chars/_char_embeddings/AssignSub"], _device="/job:localhost/replica:0/task:0/device:CPU:0"](chars/_char_embeddings/read, _arg_char_ids_0_0, chars/char_embeddings/axis)]]

      During handling of the above exception, another exception occurred:

      Traceback (most recent call last):
      File "train.py", line 26, in <module>
      main()
      File "train.py", line 23, in main
      model.train(train, dev)
      File "**/base_model.py", line 121, in train
      score = self.run_epoch(train, dev, epoch)
      File "**/model/ner_model.py", line 287, in run_epoch
      [self.train_op, self.loss, self.merged], feed_dict=fd)
      File "**/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 929, in run
      run_metadata_ptr)
      File "**/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 1152, in _run
      feed_dict_tensor, options, run_metadata)
      File "/***/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 1328, in _do_run
      run_metadata)
      File "**/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 1348, in _do_call
      raise type(e)(node_def, op, message)
      tensorflow.python.framework.errors_impl.InvalidArgumentError: indices[1,21,0] = 136 is not in [0, 136)
      [[node chars/char_embeddings (defined at **/model/ner_model.py:128) = GatherV2[Taxis=DT_INT32, Tindices=DT_INT32, Tparams=DT_FLOAT, _class=["loc:@train_step/Adam/update_chars/_char_embeddings/AssignSub"], _device="/job:localhost/replica:0/task:0/device:CPU:0"](chars/_char_embeddings/read, _arg_char_ids_0_0, chars/char_embeddings/axis)]]


      Hardware infos:



      x86_64 x86_64 x86_64 GNU/Linux
      CPU MHz: 1200.671
      CPU max MHz: 3500.0000
      Memory 503 GB









      share|improve this question
















      I am using the NER implementation in NER. with this configuration:



      # embeddings
      dim_word = 300
      dim_char = 100

      # training
      train_embeddings = False
      nepochs = 15
      dropout = 0.5
      batch_size = 20
      lr_method = "adam"
      lr = 0.001
      lr_decay = 0.9
      clip = -1 # if negative, no clipping
      nepoch_no_imprv = 3

      # model hyperparameters
      hidden_size_char = 100 # lstm on chars
      hidden_size_lstm = 300 # lstm on word embeddings


      The size of the training data I have is 3000 sentences. When I just use ca. 2500 sentences the training is done without any issue. When I use all training sentences I got this error:



       Epoch 1 out of 15
      58/115 [==============>...............] - ETA: 734s - train loss: 15.6397Traceback (most recent call last):
      File "**/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 1334, in _do_call
      return fn(*args)
      File "**/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 1319, in _run_fn
      options, feed_dict, fetch_list, target_list, run_metadata)
      File "**/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 1407, in _call_tf_sessionrun
      run_metadata)
      tensorflow.python.framework.errors_impl.InvalidArgumentError: indices[1,21,0] = 136 is not in [0, 136)
      [[{{node chars/char_embeddings}} = GatherV2[Taxis=DT_INT32, Tindices=DT_INT32, Tparams=DT_FLOAT, _class=["loc:@train_step/Adam/update_chars/_char_embeddings/AssignSub"], _device="/job:localhost/replica:0/task:0/device:CPU:0"](chars/_char_embeddings/read, _arg_char_ids_0_0, chars/char_embeddings/axis)]]

      During handling of the above exception, another exception occurred:

      Traceback (most recent call last):
      File "train.py", line 26, in <module>
      main()
      File "train.py", line 23, in main
      model.train(train, dev)
      File "**/base_model.py", line 121, in train
      score = self.run_epoch(train, dev, epoch)
      File "**/model/ner_model.py", line 287, in run_epoch
      [self.train_op, self.loss, self.merged], feed_dict=fd)
      File "**/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 929, in run
      run_metadata_ptr)
      File "**/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 1152, in _run
      feed_dict_tensor, options, run_metadata)
      File "/***/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 1328, in _do_run
      run_metadata)
      File "**/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 1348, in _do_call
      raise type(e)(node_def, op, message)
      tensorflow.python.framework.errors_impl.InvalidArgumentError: indices[1,21,0] = 136 is not in [0, 136)
      [[node chars/char_embeddings (defined at **/model/ner_model.py:128) = GatherV2[Taxis=DT_INT32, Tindices=DT_INT32, Tparams=DT_FLOAT, _class=["loc:@train_step/Adam/update_chars/_char_embeddings/AssignSub"], _device="/job:localhost/replica:0/task:0/device:CPU:0"](chars/_char_embeddings/read, _arg_char_ids_0_0, chars/char_embeddings/axis)]]


      Hardware infos:



      x86_64 x86_64 x86_64 GNU/Linux
      CPU MHz: 1200.671
      CPU max MHz: 3500.0000
      Memory 503 GB






      python python-3.x tensorflow ner






      share|improve this question















      share|improve this question













      share|improve this question




      share|improve this question








      edited Nov 14 '18 at 8:47









      Vadim Kotov

      4,54563447




      4,54563447










      asked Nov 14 '18 at 8:43









      StaOverStaOver

      298




      298
























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