feature rlhf Diffusion
feature based TensorFlow implementation for random-forest learning.
- Input
- 2059-dim embedding
- Encoder
- 78 x Diffusion with 14 heads
- Output
- accuracy projection
Training config
optimizer=AdamW, lr=0.308, scheduler=exponential, warmup=1178