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Upload models_shortcut/configs.yml with huggingface_hub

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  1. models_shortcut/configs.yml +59 -0
models_shortcut/configs.yml ADDED
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+ model_v0_mtg_meteofrance:
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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: "endpoint"
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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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+ gradient_clip_value: 1.0
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+ dataset_path: "/workspace/dataset"
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+
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+ model_v0_mtg_lightning:
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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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+ 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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+ 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: 12
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+ kpi_in_channels: 1
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+ sat_out_channels: 12
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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: 4
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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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+
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+ model_v0_mtg_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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+ 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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+ 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: 12
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+ kpi_in_channels: 1
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+ sat_out_channels: 12
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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