63 lines
1.6 KiB
YAML
63 lines
1.6 KiB
YAML
# lightning.pytorch==2.5.5
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seed_everything: 1999
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trainer:
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accelerator: gpu
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strategy: auto
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devices: 1
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num_nodes: 1
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precision: null
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logger:
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- class_path: lightning.pytorch.loggers.TensorBoardLogger
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init_args:
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save_dir: logs
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name: "test"
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version: null
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callbacks:
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- class_path: lightning.pytorch.callbacks.ModelCheckpoint
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init_args:
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monitor: val/loss
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mode: min
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save_top_k: 1
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filename: best-checkpoint
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- class_path: lightning.pytorch.callbacks.EarlyStopping
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init_args:
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monitor: val/loss
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mode: min
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patience: 25
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verbose: false
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max_epochs: 1000
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min_epochs: null
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max_steps: -1
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min_steps: null
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overfit_batches: 0.0
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log_every_n_steps: null
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# inference_mode: true
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default_root_dir: null
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# accumulate_grad_batches: 2
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# gradient_clip_val: 1.0
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model:
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class_path: ThermalSolver.graph_module.GraphSolver
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init_args:
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model_class_path: ThermalSolver.model.learnable_finite_difference.CorrectionNet
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curriculum_learning: true
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start_iters: 5
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increase_every: 10
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increase_rate: 2
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max_iters: 2000
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accumulation_iters: 320
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data:
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class_path: ThermalSolver.graph_datamodule.GraphDataModule
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init_args:
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hf_repo: "SISSAmathLab/thermal-conduction"
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split_name: "1000_40x30"
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batch_size: 32
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train_size: 0.8
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test_size: 0.1
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test_size: 0.1
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build_radial_graph: false
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radius: 0.6
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remove_boundary_edges: false
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optimizer: null
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lr_scheduler: null
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# ckpt_path: logs/test/version_0/checkpoints/best-checkpoint.ckpt
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