| # Transformer-VAE (flax) (WIP) | |
| A Transformer-VAE made using flax. | |
| Done as part of Huggingface community training ([see forum post](https://discuss.huggingface.co/t/train-a-vae-to-interpolate-on-english-sentences/7548)). | |
| Builds on T5, using an autoencoder to convert it into a VAE. | |
| [See training logs.](https://wandb.ai/fraser/flax-vae) | |
| ## ToDo | |
| - [ ] Basic training script working. (Fraser + Theo) | |
| - [ ] Add MMD loss (Theo) | |
| - [ ] Save a wikipedia sentences dataset to Huggingface (see original https://github.com/ChunyuanLI/Optimus/blob/master/data/download_datasets.md) (Mina) | |
| - [ ] Make a tokenizer using the OPTIMUS tokenized dataset. | |
| - [ ] Train on the OPTIMUS wikipedia sentences dataset. | |
| - [ ] Make Huggingface widget interpolating sentences! (???) https://github.com/huggingface/transformers/tree/master/examples/research_projects/jax-projects#how-to-build-a-demo | |
| Optional ToDos: | |
| - [ ] Add Funnel transformer encoder to FLAX (don't need weights). | |
| - [ ] Train a Funnel-encoder + T5-decoder transformer VAE. | |
| - [ ] Additional datasets: | |
| - [ ] Poetry (https://www.gwern.net/GPT-2#data-the-project-gutenberg-poetry-corpus) | |
| - [ ] 8-bit music (https://github.com/chrisdonahue/LakhNES) | |
| ## Setup | |
| Follow all steps to install dependencies from https://cloud.google.com/tpu/docs/jax-quickstart-tpu-vm | |
| - [ ] Find dataset storage site. | |
| - [ ] Ask JAX team for dataset storage. | |