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Hi!
I dont know if you can help me, but Ill ask.
I created my own pipeline to generate data in the format that is needed by your network, without needing to save it in a file or something like that. Right now Im not using any word embeddings, and the network is training and loss is falling. Until at some point in the training an error comes up:
InvalidArgumentError (see above for traceback): indices[2,5] = 1716 is not in [0, 1681)
[[Node: crf/Gather_1 = Gather[Tindices=DT_INT32, Tparams=DT_FLOAT, validate_indices=true, _device="/job:localhost/replica:0/task:0/cpu:0"](crf/Reshape_3, crf/add_2)]]
Which happens at the tf.contrib.crf.crf_log_likelihood
Do you have any idea what this could be?
The text was updated successfully, but these errors were encountered:
Hi!
I dont know if you can help me, but Ill ask.
I created my own pipeline to generate data in the format that is needed by your network, without needing to save it in a file or something like that. Right now Im not using any word embeddings, and the network is training and loss is falling. Until at some point in the training an error comes up:
InvalidArgumentError (see above for traceback): indices[2,5] = 1716 is not in [0, 1681)
[[Node: crf/Gather_1 = Gather[Tindices=DT_INT32, Tparams=DT_FLOAT, validate_indices=true, _device="/job:localhost/replica:0/task:0/cpu:0"](crf/Reshape_3, crf/add_2)]]
Which happens at the tf.contrib.crf.crf_log_likelihood
Do you have any idea what this could be?
The text was updated successfully, but these errors were encountered: