# @package _global_

defaults:
  - override /dataset: combined_emb
  - override /model: emb_cond_cartesian
  - override /model/network: geo_adaln_mlp
  - override /model/train_noise_scheduler: sigmoid
  - override /model/inference_noise_scheduler: sigmoid
  - override /model/loss: riemannian_flow_matching
  - override /model/manifold: sphere
  - override /model/val_sampler: riemannian_flow_matching
  - override /model/test_sampler: riemannian_flow_matching
  - _self_

model:
  network:
    depth: 12
    dim: 512
  optimizer:
    optim:
      lr: 8e-4
      weight_decay: 0.05
  loss:
    cond_drop_rate: 0.1
  train_noise_scheduler:
    start: -7
    end: 3
    tau: 1.0
  inference_noise_scheduler:
    start: -7
    end: 3
    tau: 1.0
  interpolant: flow_matching

dataset:
  full_batch_size: 1024

areas: []

experiment_name_suffix: small_sigmoid