worldmem-baseline-evals / GeometryForcing /configurations /dataset_experiment /realestate10k_ood_video_generation.yaml
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1.07 kB
| # @package _global_ | |
| # When the (dataset, experiment) pair aligns with the file name of this yaml, | |
| # the values here will override individual yamls files for dataset, algorithm and experiment. | |
| # useful for dataset-specific overrides | |
| algorithm: | |
| lr_scheduler: | |
| name: constant_with_warmup | |
| num_warmup_steps: 10000 | |
| num_training_steps: 550000 | |
| weight_decay: 0.01 | |
| compile: true_without_ddp_optimizer | |
| diffusion: | |
| loss_weighting: | |
| strategy: sigmoid | |
| sigmoid_bias: -1.0 | |
| training_schedule: | |
| name: cosine | |
| shift: 0.125 | |
| beta_schedule: cosine_simple_diffusion | |
| schedule_fn_kwargs: | |
| shifted: 0.125 | |
| interpolated: False | |
| logging: | |
| max_num_videos: 256 | |
| metrics: [lpips, ssim, psnr] | |
| backbone: | |
| channels: [128, 256, 576, 1152] | |
| num_updown_blocks: [3, 3, 6] | |
| num_mid_blocks: 20 | |
| num_heads: 9 | |
| use_checkpointing: [false, false, false, true] | |
| experiment: | |
| tasks: [validation] | |
| validation: | |
| batch_size: 8 | |
| data: | |
| num_workers: 0 | |
| test: | |
| batch_size: 8 | |
| data: | |
| num_workers: 0 |