diff --git a/experiments/5_steps/config_16_layer_16_hidden_refined.yaml b/experiments/5_steps/config_16_layer_16_hidden_refined.yaml index 91072c1..0c74089 100644 --- a/experiments/5_steps/config_16_layer_16_hidden_refined.yaml +++ b/experiments/5_steps/config_16_layer_16_hidden_refined.yaml @@ -58,7 +58,7 @@ data: class_path: ThermalSolver.graph_datamodule_unsteady.GraphDataModule init_args: hf_repo: "SISSAmathLab/thermal-conduction-unsteady" - split_name: "easy.refined" + split_name: "basic.refined" n_elements: 100 batch_size: 32 train_size: 0.7 diff --git a/experiments/5_steps/config_32_layer_16_hidden_refined.yaml b/experiments/5_steps/config_32_layer_16_hidden_refined.yaml index 1d53bc2..a9d6ff6 100644 --- a/experiments/5_steps/config_32_layer_16_hidden_refined.yaml +++ b/experiments/5_steps/config_32_layer_16_hidden_refined.yaml @@ -39,7 +39,7 @@ trainer: min_steps: null overfit_batches: 0.0 log_every_n_steps: 0 - accumulate_grad_batches: 2 + accumulate_grad_batches: 1 default_root_dir: null gradient_clip_val: 1.0 @@ -58,9 +58,9 @@ data: class_path: ThermalSolver.graph_datamodule_unsteady.GraphDataModule init_args: hf_repo: "SISSAmathLab/thermal-conduction-unsteady" - split_name: "easy.refined" + split_name: "basic.refined" n_elements: 100 - batch_size: 16 + batch_size: 24 train_size: 0.7 val_size: 0.2 test_size: 0.1 diff --git a/experiments/5_steps/config_8_layer_16_hidden_refined.yaml b/experiments/5_steps/config_8_layer_16_hidden_refined.yaml index 29b97c3..3fc10d5 100644 --- a/experiments/5_steps/config_8_layer_16_hidden_refined.yaml +++ b/experiments/5_steps/config_8_layer_16_hidden_refined.yaml @@ -24,7 +24,7 @@ trainer: init_args: monitor: val/loss mode: min - patience: 20 + patience: 30 verbose: false max_epochs: 1000 min_epochs: null @@ -50,7 +50,7 @@ data: class_path: ThermalSolver.graph_datamodule_unsteady.GraphDataModule init_args: hf_repo: "SISSAmathLab/thermal-conduction-unsteady" - split_name: "easy.refined" + split_name: "basic.refined" n_elements: 100 batch_size: 32 train_size: 0.7