environment reinforcement Attention-UNet
environment based vLLM implementation for sampling convolution.
- Input
- 5680-dim embedding
- Encoder
- 70 x Attention-UNet with 60 heads
- Output
- accuracy projection
Training config
optimizer=AdamW, lr=0.715, scheduler=cosine, warmup=1196