Upload models_world_shortcut/configs.yml with huggingface_hub
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models_world_shortcut/configs.yml
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@@ -91,11 +91,11 @@ model_v1_mtg_world_lightning_shortcut:
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model_dir: "models/"
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parametrization: "standard"
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interpolation: "polynomial"
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batch_size:
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learning_rate: 0.001
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num_epochs: 200
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seed: 42
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sigma_noise_input: 0.
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gradient_clip_value: 1.0
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dataset_path: "/workspace/dataset"
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model:
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@@ -136,4 +136,103 @@ model_v2_mtg_world_lightning_shortcut:
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embedding_dim: 128
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context_frames: 4
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num_additional_resnet_blocks: 2
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time_emb_dim: 64
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model_dir: "models/"
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parametrization: "standard"
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interpolation: "polynomial"
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batch_size: 128
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learning_rate: 0.001
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num_epochs: 200
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seed: 42
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sigma_noise_input: 0.01
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gradient_clip_value: 1.0
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dataset_path: "/workspace/dataset"
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model:
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embedding_dim: 128
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context_frames: 4
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num_additional_resnet_blocks: 2
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time_emb_dim: 64
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model_v3_mtg_world_lightning_shortcut:
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log_every_n_steps: 5
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save_every_n_epochs: 5
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model_dir: "models/"
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parametrization: "standard"
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interpolation: "polynomial"
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batch_size: 64
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learning_rate: 0.001
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num_epochs: 200
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seed: 42
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gen_steps: 4
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sigma_noise_input: 0.01
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gradient_clip_value: 1.0
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dataset_path: "/workspace/dataset"
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model:
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sat_in_channels: 16
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kpi_in_channels: 1
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sat_out_channels: 16
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kpi_out_channels: 1
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additional_channels: 3
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features: [32, 64, 128, 256]
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context_dim: 5
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embedding_dim: 128
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context_frames: 4
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num_additional_resnet_blocks: 2
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time_emb_dim: 64
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model_correction:
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sat_in_channels: 16
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kpi_in_channels: 1
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sat_out_channels: 16
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kpi_out_channels: 1
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additional_channels: 3
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features: [32, 64, 128, 256]
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context_dim: 5
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embedding_dim: 128
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context_frames: 2
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num_additional_resnet_blocks: 2
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time_emb_dim: 64
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model_v4_mtg_world_lightning_shortcut:
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log_every_n_steps: 5
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save_every_n_epochs: 5
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model_dir: "models/"
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parametrization: "standard"
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interpolation: "polynomial"
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batch_size: 64
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learning_rate: 0.001
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num_epochs: 200
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seed: 42
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gen_steps: 4
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sigma_noise_input: 0.01
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gradient_clip_value: 1.0
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residual: False
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dataset_path: "/workspace/dataset"
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model:
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sat_in_channels: 16
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kpi_in_channels: 1
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sat_out_channels: 16
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kpi_out_channels: 1
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additional_channels: 3
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features: [32, 64, 128, 256]
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context_dim: 5
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embedding_dim: 128
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context_frames: 4
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num_additional_resnet_blocks: 2
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time_emb_dim: 64
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model_v5_mtg_world_lightning_shortcut:
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log_every_n_steps: 5
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save_every_n_epochs: 5
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model_dir: "models/"
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parametrization: "standard"
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interpolation: "polynomial"
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batch_size: 64
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learning_rate: 0.001
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num_epochs: 200
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seed: 42
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gen_steps: 4
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sigma_noise_input: 0.005
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gradient_clip_value: 1.0
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residual: True
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dataset_path: "/workspace/dataset"
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model:
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sat_in_channels: 16
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kpi_in_channels: 1
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sat_out_channels: 16
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kpi_out_channels: 1
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additional_channels: 3
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features: [64, 128, 256, 512]
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context_dim: 5
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embedding_dim: 128
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context_frames: 4
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num_additional_resnet_blocks: 2
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time_emb_dim: 64
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