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🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
https://huggingface.co/transformers
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Using the XLNet or Tranformer-XL as an EncoderDecoder #8778

Closed gulnazaki closed 3 years ago

gulnazaki commented 3 years ago

I want to train a long sequence dataset (MIDI text event representation like the one in MuseNet) from scratch. Since, I can't split the sequence to "sentences" I am using XLNet (or Transformer-XL). I am modelling the task as a sequence2sequence task (with max input seq length of around 40k tokens and output length of 4k tokens) so I want to use an Encoder Decoder Framework.

Is it possible to use XLNet as the encoder and decoder, or just the encoder and use GPT-2 for example to do the decoding (because of the smaller output sequence length).

Thank you 🤗

gulnazaki commented 3 years ago

@patrickvonplaten any thoughts on this? Since, I found your work on Bert2Bert very informative :)

patrickvonplaten commented 3 years ago

Hey @gulnazaki - you can use XLNet as an encoder, but not as a decoder because it'll be very difficult to add cross-attention functionality to XLNet for the decoder...

gulnazaki commented 3 years ago

Thanks @patrickvonplaten , I thought so. Also, the concept of XLNet is kinda the opposite of uni-directional.

I will try to increase the sequence length of GPT2 for the output sequence.

github-actions[bot] commented 3 years ago

This issue has been automatically marked as stale and been closed because it has not had recent activity. Thank you for your contributions.

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