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Home Page: https://arxiv.org/abs/2101.00828
Transformer-based Conditional Variational Autoencoder for Controllable Story Generation
Home Page: https://arxiv.org/abs/2101.00828
Hi, I was trying to employ the same vae way to guide a text generation task, but during my training, the kl loss always exploded and I got a nan Z after several thousands of steps. Could you please share some ideas of how to jointly train a model like this?
Hi, thank you for your open source! I wonder which version of transformer are you using in this repository?
I'm trying to implement TransformerCVAE but I'm getting No module transformers.modeling_gpt2 error with Transformers version 4.11.3.
I try to use your model,but the version wrong confuse me every time
I'm trying to reproduce the reported results, but only get really poor results by training your model with the default hyperparams. Could you make public the hyperparams for each datasets to reproduce the reported results?
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