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Universal seq2seq model for question generation, text summarization, machine translation etc. written in Python and Tensorflow 1.4 with Tensorflow's Beam Search API decoder

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How to train the model on custom data.

While training after 3 epochs it stops training saying loss not decreasing. Reasons why loss not decreasing? Thank You!

``` InvalidArgumentError (see above for traceback): Multiple OpKernel registrations match NodeDef 'decode_1/decoder/GatherTree = GatherTree[T=DT_INT32](decode_1/decoder/TensorArrayStack_1/TensorArrayGatherV3, decode_1/decoder/TensorArrayStack_2/TensorArrayGatherV3, decode_1/decoder/while/Exit_14)': 'op: "GatherTree" device_type: "CPU" constraint { name: "T" allowed_values { list { type: DT_INT32...

Hello matatusko, you said [For the data preprocessing I'm using spaCy as I've came to rely heavily on it when it comes to any NLP tasks - it's simply brilliant....