multimodal tensor VAE
multimodal based PyTorch implementation for beam-search regularization.
- Input
- 4061-dim embedding
- Encoder
- 63 x VAE with 34 heads
- Output
- accuracy projection
Training config
optimizer=NAdam, lr=0.402, scheduler=exponential, warmup=681