model_v0_mtg_meteofrance: log_every_n_steps: 5 save_every_n_epochs: 5 model_dir: "models/" parametrization: "endpoint" batch_size: 128 learning_rate: 0.001 num_epochs: 200 seed: 42 gradient_clip_value: 1.0 dataset_path: "/workspace/dataset" model_v0_mtg_lightning: log_every_n_steps: 5 save_every_n_epochs: 5 model_dir: "models/" parametrization: "standard" batch_size: 64 learning_rate: 0.001 num_epochs: 200 seed: 42 gradient_clip_value: 1.0 dataset_path: "/workspace/dataset" model: sat_in_channels: 12 kpi_in_channels: 1 sat_out_channels: 12 kpi_out_channels: 1 additional_channels: 3 features: [32, 64, 128, 256] context_dim: 4 embedding_dim: 128 context_frames: 4 num_additional_resnet_blocks: 2 time_emb_dim: 64 model_v0_mtg_lightning_shortcut: log_every_n_steps: 5 save_every_n_epochs: 5 model_dir: "models/" parametrization: "standard" batch_size: 64 learning_rate: 0.001 num_epochs: 200 seed: 42 gradient_clip_value: 1.0 dataset_path: "/workspace/dataset" model: sat_in_channels: 12 kpi_in_channels: 1 sat_out_channels: 12 kpi_out_channels: 1 additional_channels: 3 features: [32, 64, 128, 256] context_dim: 5 embedding_dim: 128 context_frames: 4 num_additional_resnet_blocks: 2 time_emb_dim: 64 model_v0_mtg_world_lightning_shortcut: log_every_n_steps: 5 save_every_n_epochs: 5 model_dir: "models/" parametrization: "standard" interpolation: "linear" batch_size: 64 learning_rate: 0.001 num_epochs: 200 seed: 42 sigma_noise_input: 0. gradient_clip_value: 1.0 dataset_path: "/workspace/dataset" model: sat_in_channels: 16 kpi_in_channels: 1 sat_out_channels: 16 kpi_out_channels: 1 additional_channels: 3 features: [32, 64, 128, 256] context_dim: 5 embedding_dim: 128 context_frames: 4 num_additional_resnet_blocks: 2 time_emb_dim: 64 model_v1_mtg_world_lightning_shortcut: log_every_n_steps: 5 save_every_n_epochs: 5 model_dir: "models/" parametrization: "standard" interpolation: "polynomial" batch_size: 128 learning_rate: 0.001 num_epochs: 200 seed: 42 sigma_noise_input: 0.01 gradient_clip_value: 1.0 dataset_path: "/workspace/dataset" model: sat_in_channels: 16 kpi_in_channels: 1 sat_out_channels: 16 kpi_out_channels: 1 additional_channels: 3 features: [32, 64, 128, 256] context_dim: 5 embedding_dim: 128 context_frames: 4 num_additional_resnet_blocks: 2 time_emb_dim: 64 model_v2_mtg_world_lightning_shortcut: log_every_n_steps: 5 save_every_n_epochs: 5 model_dir: "models/" parametrization: "standard" interpolation: "linear" batch_size: 128 learning_rate: 0.001 num_epochs: 200 seed: 42 sigma_noise_input: 0.01 gradient_clip_value: 1.0 dataset_path: "/workspace/dataset" model: sat_in_channels: 16 kpi_in_channels: 1 sat_out_channels: 16 kpi_out_channels: 1 additional_channels: 3 features: [32, 64, 128, 256] context_dim: 5 embedding_dim: 128 context_frames: 4 num_additional_resnet_blocks: 2 time_emb_dim: 64 model_v3_mtg_world_lightning_shortcut: log_every_n_steps: 5 save_every_n_epochs: 5 model_dir: "models/" parametrization: "standard" interpolation: "polynomial" batch_size: 64 learning_rate: 0.001 num_epochs: 200 seed: 42 gen_steps: 4 sigma_noise_input: 0.01 gradient_clip_value: 1.0 dataset_path: "/workspace/dataset" model: sat_in_channels: 16 kpi_in_channels: 1 sat_out_channels: 16 kpi_out_channels: 1 additional_channels: 3 features: [32, 64, 128, 256] context_dim: 5 embedding_dim: 128 context_frames: 4 num_additional_resnet_blocks: 2 time_emb_dim: 64 model_correction: sat_in_channels: 16 kpi_in_channels: 1 sat_out_channels: 16 kpi_out_channels: 1 additional_channels: 3 features: [32, 64, 128, 256] context_dim: 5 embedding_dim: 128 context_frames: 2 num_additional_resnet_blocks: 2 time_emb_dim: 64 model_v4_mtg_world_lightning_shortcut: log_every_n_steps: 5 save_every_n_epochs: 5 model_dir: "models/" parametrization: "standard" interpolation: "polynomial" batch_size: 64 learning_rate: 0.001 num_epochs: 200 seed: 42 gen_steps: 4 sigma_noise_input: 0.01 gradient_clip_value: 1.0 residual: False dataset_path: "/workspace/dataset" model: sat_in_channels: 16 kpi_in_channels: 1 sat_out_channels: 16 kpi_out_channels: 1 additional_channels: 3 features: [32, 64, 128, 256] context_dim: 5 embedding_dim: 128 context_frames: 4 num_additional_resnet_blocks: 2 time_emb_dim: 64 model_v5_mtg_world_lightning_shortcut: log_every_n_steps: 5 save_every_n_epochs: 5 model_dir: "models/" parametrization: "standard" interpolation: "polynomial" batch_size: 64 learning_rate: 0.001 num_epochs: 200 seed: 42 gen_steps: 4 sigma_noise_input: 0.005 gradient_clip_value: 1.0 residual: True dataset_path: "/workspace/dataset" model: sat_in_channels: 16 kpi_in_channels: 1 sat_out_channels: 16 kpi_out_channels: 1 additional_channels: 3 features: [64, 128, 256, 512] context_dim: 5 embedding_dim: 128 context_frames: 4 num_additional_resnet_blocks: 2 time_emb_dim: 64