Upload config.yaml
Browse files- millionaid/config.yaml +55 -0
millionaid/config.yaml
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experiment:
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experiment_name: million_aid_05-24-2024_18-17-23-687720
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exp_dir: under what experiment directory to put the save dir
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save_dir: directory name, where all ckpt and images will be saved
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wandb:
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project: projectname
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entity: your user name or entity
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mode: online
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model:
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_target_: lightning_uq_box.uq_methods.DDPM
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diffusion_model:
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_target_: denoising_diffusion_pytorch.denoising_diffusion_pytorch.GaussianDiffusion
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model:
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_target_: denoising_diffusion_pytorch.denoising_diffusion_pytorch.Unet
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dim: 64
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dim_mults:
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- 1
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- 2
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- 16
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- 32
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channels: 3
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out_dim: 3
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self_condition: true
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image_size: 224
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timesteps: 500
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sampling_timesteps: 250
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beta_schedule: cosine
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log_samples_every_n_steps: 1000
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optimizer:
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_target_: torch.optim.Adam
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_partial_: true
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lr: 0.0001
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datamodule:
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_target_: millionaid_dm.MillionAIDDataModule
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root: "path_to_dataset"
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split: test
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batch_size: 16
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num_workers: 4
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trainer:
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_target_: lightning.pytorch.Trainer
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accelerator: gpu
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strategy: ddp
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accumulate_grad_batches: 4
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devices:
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min_epochs: 800
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max_epochs: 1000
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log_every_n_steps: 50
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enable_progress_bar: true
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enable_checkpointing: true
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