# GLOBAL STUFF
experiment_id: stage_b_3b_finetuning
checkpoint_path: /path/to/checkpoint
output_path: /path/to/output
model_version: 3B

# WandB
wandb_project: StableCascade
wandb_entity: wandb_username

# TRAINING PARAMS
lr: 1.0e-4
batch_size: 256
image_size: 1024
# multi_aspect_ratio: [1/1, 1/2, 1/3, 2/3, 3/4, 1/5, 2/5, 3/5, 4/5, 1/6, 5/6, 9/16]
shift: 4
grad_accum_steps: 1
updates: 100000
backup_every: 20000
save_every: 1000
warmup_updates: 1
use_fsdp: True

# GDF
adaptive_loss_weight: True

# ema_start_iters: 5000
# ema_iters: 100
# ema_beta: 0.9

webdataset_path:
  - s3://path/to/your/first/dataset/on/s3
  - s3://path/to/your/second/dataset/on/s3
effnet_checkpoint_path: models/effnet_encoder.safetensors
stage_a_checkpoint_path: models/stage_a.safetensors
generator_checkpoint_path: models/stage_b_bf16.safetensors