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Diffstat (limited to 'src/training/experiments')
76 files changed, 1592 insertions, 0 deletions
diff --git a/src/training/experiments/CharacterModel_Emnist_LeNet/0721_231455/config.yml b/src/training/experiments/CharacterModel_Emnist_LeNet/0721_231455/config.yml new file mode 100644 index 0000000..2595325 --- /dev/null +++ b/src/training/experiments/CharacterModel_Emnist_LeNet/0721_231455/config.yml @@ -0,0 +1,48 @@ +criterion: CrossEntropyLoss +criterion_args: + ignore_index: -100 + reduction: mean + weight: null +data_loader_args: + batch_size: 256 + cuda: true + num_workers: 8 + sample_to_balance: true + seed: 4711 + shuffle: true + splits: + - train + - val + subsample_fraction: null + target_transform: null + transform: null +dataloader: EmnistDataLoader +device: cuda:0 +experiment_group: Sample Experiments +lr_scheduler: OneCycleLR +lr_scheduler_args: + epochs: 16 + max_lr: 0.001 + steps_per_epoch: 1314 +metrics: +- accuracy +model: CharacterModel +network: LeNet +network_args: + input_size: + - 28 + - 28 + output_size: 62 +optimizer: AdamW +optimizer_args: + amsgrad: false + betas: + - 0.9 + - 0.999 + eps: 1.0e-08 + lr: 0.01 + weight_decay: 0 +train_args: + batch_size: 256 + epochs: 16 + val_metric: accuracy diff --git a/src/training/experiments/CharacterModel_Emnist_LeNet/0721_231455/model/best.pt b/src/training/experiments/CharacterModel_Emnist_LeNet/0721_231455/model/best.pt Binary files differnew file mode 100644 index 0000000..6d78bad --- /dev/null +++ b/src/training/experiments/CharacterModel_Emnist_LeNet/0721_231455/model/best.pt diff --git a/src/training/experiments/CharacterModel_Emnist_LeNet/0721_231455/model/last.pt b/src/training/experiments/CharacterModel_Emnist_LeNet/0721_231455/model/last.pt Binary files differnew file mode 100644 index 0000000..6d78bad --- /dev/null +++ b/src/training/experiments/CharacterModel_Emnist_LeNet/0721_231455/model/last.pt diff --git a/src/training/experiments/CharacterModel_Emnist_LeNet/0722_190746/config.yml b/src/training/experiments/CharacterModel_Emnist_LeNet/0722_190746/config.yml new file mode 100644 index 0000000..2595325 --- /dev/null +++ b/src/training/experiments/CharacterModel_Emnist_LeNet/0722_190746/config.yml @@ -0,0 +1,48 @@ +criterion: CrossEntropyLoss +criterion_args: + ignore_index: -100 + reduction: mean + weight: null +data_loader_args: + batch_size: 256 + cuda: true + num_workers: 8 + sample_to_balance: true + seed: 4711 + shuffle: true + splits: + - train + - val + subsample_fraction: null + target_transform: null + transform: null +dataloader: EmnistDataLoader +device: cuda:0 +experiment_group: Sample Experiments +lr_scheduler: OneCycleLR +lr_scheduler_args: + epochs: 16 + max_lr: 0.001 + steps_per_epoch: 1314 +metrics: +- accuracy +model: CharacterModel +network: LeNet +network_args: + input_size: + - 28 + - 28 + output_size: 62 +optimizer: AdamW +optimizer_args: + amsgrad: false + betas: + - 0.9 + - 0.999 + eps: 1.0e-08 + lr: 0.01 + weight_decay: 0 +train_args: + batch_size: 256 + epochs: 16 + val_metric: accuracy diff --git a/src/training/experiments/CharacterModel_Emnist_LeNet/0722_190746/model/best.pt b/src/training/experiments/CharacterModel_Emnist_LeNet/0722_190746/model/best.pt Binary files differnew file mode 100644 index 0000000..43a3891 --- /dev/null +++ b/src/training/experiments/CharacterModel_Emnist_LeNet/0722_190746/model/best.pt diff --git a/src/training/experiments/CharacterModel_Emnist_LeNet/0722_190746/model/last.pt b/src/training/experiments/CharacterModel_Emnist_LeNet/0722_190746/model/last.pt Binary files differnew file mode 100644 index 0000000..61c03f0 --- /dev/null +++ b/src/training/experiments/CharacterModel_Emnist_LeNet/0722_190746/model/last.pt diff --git a/src/training/experiments/CharacterModel_Emnist_MLP/0721_124928/config.yml b/src/training/experiments/CharacterModel_Emnist_MLP/0721_124928/config.yml new file mode 100644 index 0000000..2aa52cd --- /dev/null +++ b/src/training/experiments/CharacterModel_Emnist_MLP/0721_124928/config.yml @@ -0,0 +1,43 @@ +criterion: CrossEntropyLoss +criterion_args: + ignore_index: -100 + reduction: mean + weight: null +data_loader_args: + batch_size: 256 + cuda: true + num_workers: 0 + sample_to_balance: true + seed: 4711 + shuffle: true + splits: + - train + - val + subsample_fraction: null + target_transform: null + transform: null +dataloader: EmnistDataLoader +device: cuda:0 +experiment_group: Sample Experiments +lr_scheduler: null +metrics: +- accuracy +model: CharacterModel +network: MLP +network_args: + input_size: 784 + num_layers: 3 + output_size: 62 +optimizer: AdamW +optimizer_args: + amsgrad: false + betas: + - 0.9 + - 0.999 + eps: 1.0e-08 + lr: 0.001 + weight_decay: 0 +train_args: + batch_size: 256 + epochs: 16 + val_metric: accuracy diff --git a/src/training/experiments/CharacterModel_Emnist_MLP/0721_141139/config.yml b/src/training/experiments/CharacterModel_Emnist_MLP/0721_141139/config.yml new file mode 100644 index 0000000..829297d --- /dev/null +++ b/src/training/experiments/CharacterModel_Emnist_MLP/0721_141139/config.yml @@ -0,0 +1,47 @@ +criterion: CrossEntropyLoss +criterion_args: + ignore_index: -100 + reduction: mean + weight: null +data_loader_args: + batch_size: 256 + cuda: true + num_workers: 0 + sample_to_balance: true + seed: 4711 + shuffle: true + splits: + - train + - val + subsample_fraction: null + target_transform: null + transform: null +dataloader: EmnistDataLoader +device: cuda:0 +experiment_group: Sample Experiments +lr_scheduler: OneCycleLR +lr_scheduler_args: + epochs: 16 + max_lr: 0.0003 + steps_per_epoch: 1314 +metrics: +- accuracy +model: CharacterModel +network: MLP +network_args: + input_size: 784 + num_layers: 3 + output_size: 62 +optimizer: AdamW +optimizer_args: + amsgrad: false + betas: + - 0.9 + - 0.999 + eps: 1.0e-08 + lr: 0.0006 + weight_decay: 5.0e-05 +train_args: + batch_size: 256 + epochs: 16 + val_metric: accuracy diff --git a/src/training/experiments/CharacterModel_Emnist_MLP/0721_141213/config.yml b/src/training/experiments/CharacterModel_Emnist_MLP/0721_141213/config.yml new file mode 100644 index 0000000..829297d --- /dev/null +++ b/src/training/experiments/CharacterModel_Emnist_MLP/0721_141213/config.yml @@ -0,0 +1,47 @@ +criterion: CrossEntropyLoss +criterion_args: + ignore_index: -100 + reduction: mean + weight: null +data_loader_args: + batch_size: 256 + cuda: true + num_workers: 0 + sample_to_balance: true + seed: 4711 + shuffle: true + splits: + - train + - val + subsample_fraction: null + target_transform: null + transform: null +dataloader: EmnistDataLoader +device: cuda:0 +experiment_group: Sample Experiments +lr_scheduler: OneCycleLR +lr_scheduler_args: + epochs: 16 + max_lr: 0.0003 + steps_per_epoch: 1314 +metrics: +- accuracy +model: CharacterModel +network: MLP +network_args: + input_size: 784 + num_layers: 3 + output_size: 62 +optimizer: AdamW +optimizer_args: + amsgrad: false + betas: + - 0.9 + - 0.999 + eps: 1.0e-08 + lr: 0.0006 + weight_decay: 5.0e-05 +train_args: + batch_size: 256 + epochs: 16 + val_metric: accuracy diff --git a/src/training/experiments/CharacterModel_Emnist_MLP/0721_141213/model/best.pt b/src/training/experiments/CharacterModel_Emnist_MLP/0721_141213/model/best.pt Binary files differnew file mode 100644 index 0000000..d0db78b --- /dev/null +++ b/src/training/experiments/CharacterModel_Emnist_MLP/0721_141213/model/best.pt diff --git a/src/training/experiments/CharacterModel_Emnist_MLP/0721_141213/model/last.pt b/src/training/experiments/CharacterModel_Emnist_MLP/0721_141213/model/last.pt Binary files differnew file mode 100644 index 0000000..d0db78b --- /dev/null +++ b/src/training/experiments/CharacterModel_Emnist_MLP/0721_141213/model/last.pt diff --git a/src/training/experiments/CharacterModel_Emnist_MLP/0721_141433/config.yml b/src/training/experiments/CharacterModel_Emnist_MLP/0721_141433/config.yml new file mode 100644 index 0000000..3df32bb --- /dev/null +++ b/src/training/experiments/CharacterModel_Emnist_MLP/0721_141433/config.yml @@ -0,0 +1,47 @@ +criterion: CrossEntropyLoss +criterion_args: + ignore_index: -100 + reduction: mean + weight: null +data_loader_args: + batch_size: 256 + cuda: true + num_workers: 0 + sample_to_balance: true + seed: 4711 + shuffle: true + splits: + - train + - val + subsample_fraction: null + target_transform: null + transform: null +dataloader: EmnistDataLoader +device: cuda:0 +experiment_group: Sample Experiments +lr_scheduler: OneCycleLR +lr_scheduler_args: + epochs: 16 + max_lr: 0.01 + steps_per_epoch: 1314 +metrics: +- accuracy +model: CharacterModel +network: MLP +network_args: + input_size: 784 + num_layers: 3 + output_size: 62 +optimizer: AdamW +optimizer_args: + amsgrad: false + betas: + - 0.9 + - 0.999 + eps: 1.0e-08 + lr: 0.1 + weight_decay: 5.0e-05 +train_args: + batch_size: 256 + epochs: 16 + val_metric: accuracy diff --git a/src/training/experiments/CharacterModel_Emnist_MLP/0721_141433/model/best.pt b/src/training/experiments/CharacterModel_Emnist_MLP/0721_141433/model/best.pt Binary files differnew file mode 100644 index 0000000..5914c8f --- /dev/null +++ b/src/training/experiments/CharacterModel_Emnist_MLP/0721_141433/model/best.pt diff --git a/src/training/experiments/CharacterModel_Emnist_MLP/0721_141433/model/last.pt b/src/training/experiments/CharacterModel_Emnist_MLP/0721_141433/model/last.pt Binary files differnew file mode 100644 index 0000000..5ba44bb --- /dev/null +++ b/src/training/experiments/CharacterModel_Emnist_MLP/0721_141433/model/last.pt diff --git a/src/training/experiments/CharacterModel_Emnist_MLP/0721_141702/config.yml b/src/training/experiments/CharacterModel_Emnist_MLP/0721_141702/config.yml new file mode 100644 index 0000000..fb75736 --- /dev/null +++ b/src/training/experiments/CharacterModel_Emnist_MLP/0721_141702/config.yml @@ -0,0 +1,47 @@ +criterion: CrossEntropyLoss +criterion_args: + ignore_index: -100 + reduction: mean + weight: null +data_loader_args: + batch_size: 256 + cuda: true + num_workers: 0 + sample_to_balance: true + seed: 4711 + shuffle: true + splits: + - train + - val + subsample_fraction: null + target_transform: null + transform: null +dataloader: EmnistDataLoader +device: cuda:0 +experiment_group: Sample Experiments +lr_scheduler: OneCycleLR +lr_scheduler_args: + epochs: 16 + max_lr: 0.001 + steps_per_epoch: 1314 +metrics: +- accuracy +model: CharacterModel +network: MLP +network_args: + input_size: 784 + num_layers: 3 + output_size: 62 +optimizer: AdamW +optimizer_args: + amsgrad: false + betas: + - 0.9 + - 0.999 + eps: 1.0e-08 + lr: 0.01 + weight_decay: 5.0e-05 +train_args: + batch_size: 256 + epochs: 16 + val_metric: accuracy diff --git a/src/training/experiments/CharacterModel_Emnist_MLP/0721_141702/model/best.pt b/src/training/experiments/CharacterModel_Emnist_MLP/0721_141702/model/best.pt Binary files differnew file mode 100644 index 0000000..96c21c1 --- /dev/null +++ b/src/training/experiments/CharacterModel_Emnist_MLP/0721_141702/model/best.pt diff --git a/src/training/experiments/CharacterModel_Emnist_MLP/0721_141702/model/last.pt b/src/training/experiments/CharacterModel_Emnist_MLP/0721_141702/model/last.pt Binary files differnew file mode 100644 index 0000000..f024c0d --- /dev/null +++ b/src/training/experiments/CharacterModel_Emnist_MLP/0721_141702/model/last.pt diff --git a/src/training/experiments/CharacterModel_Emnist_MLP/0721_145028/config.yml b/src/training/experiments/CharacterModel_Emnist_MLP/0721_145028/config.yml new file mode 100644 index 0000000..fb75736 --- /dev/null +++ b/src/training/experiments/CharacterModel_Emnist_MLP/0721_145028/config.yml @@ -0,0 +1,47 @@ +criterion: CrossEntropyLoss +criterion_args: + ignore_index: -100 + reduction: mean + weight: null +data_loader_args: + batch_size: 256 + cuda: true + num_workers: 0 + sample_to_balance: true + seed: 4711 + shuffle: true + splits: + - train + - val + subsample_fraction: null + target_transform: null + transform: null +dataloader: EmnistDataLoader +device: cuda:0 +experiment_group: Sample Experiments +lr_scheduler: OneCycleLR +lr_scheduler_args: + epochs: 16 + max_lr: 0.001 + steps_per_epoch: 1314 +metrics: +- accuracy +model: CharacterModel +network: MLP +network_args: + input_size: 784 + num_layers: 3 + output_size: 62 +optimizer: AdamW +optimizer_args: + amsgrad: false + betas: + - 0.9 + - 0.999 + eps: 1.0e-08 + lr: 0.01 + weight_decay: 5.0e-05 +train_args: + batch_size: 256 + epochs: 16 + val_metric: accuracy diff --git a/src/training/experiments/CharacterModel_Emnist_MLP/0721_150212/config.yml b/src/training/experiments/CharacterModel_Emnist_MLP/0721_150212/config.yml new file mode 100644 index 0000000..fb75736 --- /dev/null +++ b/src/training/experiments/CharacterModel_Emnist_MLP/0721_150212/config.yml @@ -0,0 +1,47 @@ +criterion: CrossEntropyLoss +criterion_args: + ignore_index: -100 + reduction: mean + weight: null +data_loader_args: + batch_size: 256 + cuda: true + num_workers: 0 + sample_to_balance: true + seed: 4711 + shuffle: true + splits: + - train + - val + subsample_fraction: null + target_transform: null + transform: null +dataloader: EmnistDataLoader +device: cuda:0 +experiment_group: Sample Experiments +lr_scheduler: OneCycleLR +lr_scheduler_args: + epochs: 16 + max_lr: 0.001 + steps_per_epoch: 1314 +metrics: +- accuracy +model: CharacterModel +network: MLP +network_args: + input_size: 784 + num_layers: 3 + output_size: 62 +optimizer: AdamW +optimizer_args: + amsgrad: false + betas: + - 0.9 + - 0.999 + eps: 1.0e-08 + lr: 0.01 + weight_decay: 5.0e-05 +train_args: + batch_size: 256 + epochs: 16 + val_metric: accuracy diff --git a/src/training/experiments/CharacterModel_Emnist_MLP/0721_150301/config.yml b/src/training/experiments/CharacterModel_Emnist_MLP/0721_150301/config.yml new file mode 100644 index 0000000..fb75736 --- /dev/null +++ b/src/training/experiments/CharacterModel_Emnist_MLP/0721_150301/config.yml @@ -0,0 +1,47 @@ +criterion: CrossEntropyLoss +criterion_args: + ignore_index: -100 + reduction: mean + weight: null +data_loader_args: + batch_size: 256 + cuda: true + num_workers: 0 + sample_to_balance: true + seed: 4711 + shuffle: true + splits: + - train + - val + subsample_fraction: null + target_transform: null + transform: null +dataloader: EmnistDataLoader +device: cuda:0 +experiment_group: Sample Experiments +lr_scheduler: OneCycleLR +lr_scheduler_args: + epochs: 16 + max_lr: 0.001 + steps_per_epoch: 1314 +metrics: +- accuracy +model: CharacterModel +network: MLP +network_args: + input_size: 784 + num_layers: 3 + output_size: 62 +optimizer: AdamW +optimizer_args: + amsgrad: false + betas: + - 0.9 + - 0.999 + eps: 1.0e-08 + lr: 0.01 + weight_decay: 5.0e-05 +train_args: + batch_size: 256 + epochs: 16 + val_metric: accuracy diff --git a/src/training/experiments/CharacterModel_Emnist_MLP/0721_150317/config.yml b/src/training/experiments/CharacterModel_Emnist_MLP/0721_150317/config.yml new file mode 100644 index 0000000..fb75736 --- /dev/null +++ b/src/training/experiments/CharacterModel_Emnist_MLP/0721_150317/config.yml @@ -0,0 +1,47 @@ +criterion: CrossEntropyLoss +criterion_args: + ignore_index: -100 + reduction: mean + weight: null +data_loader_args: + batch_size: 256 + cuda: true + num_workers: 0 + sample_to_balance: true + seed: 4711 + shuffle: true + splits: + - train + - val + subsample_fraction: null + target_transform: null + transform: null +dataloader: EmnistDataLoader +device: cuda:0 +experiment_group: Sample Experiments +lr_scheduler: OneCycleLR +lr_scheduler_args: + epochs: 16 + max_lr: 0.001 + steps_per_epoch: 1314 +metrics: +- accuracy +model: CharacterModel +network: MLP +network_args: + input_size: 784 + num_layers: 3 + output_size: 62 +optimizer: AdamW +optimizer_args: + amsgrad: false + betas: + - 0.9 + - 0.999 + eps: 1.0e-08 + lr: 0.01 + weight_decay: 5.0e-05 +train_args: + batch_size: 256 + epochs: 16 + val_metric: accuracy diff --git a/src/training/experiments/CharacterModel_Emnist_MLP/0721_151135/config.yml b/src/training/experiments/CharacterModel_Emnist_MLP/0721_151135/config.yml new file mode 100644 index 0000000..fb75736 --- /dev/null +++ b/src/training/experiments/CharacterModel_Emnist_MLP/0721_151135/config.yml @@ -0,0 +1,47 @@ +criterion: CrossEntropyLoss +criterion_args: + ignore_index: -100 + reduction: mean + weight: null +data_loader_args: + batch_size: 256 + cuda: true + num_workers: 0 + sample_to_balance: true + seed: 4711 + shuffle: true + splits: + - train + - val + subsample_fraction: null + target_transform: null + transform: null +dataloader: EmnistDataLoader +device: cuda:0 +experiment_group: Sample Experiments +lr_scheduler: OneCycleLR +lr_scheduler_args: + epochs: 16 + max_lr: 0.001 + steps_per_epoch: 1314 +metrics: +- accuracy +model: CharacterModel +network: MLP +network_args: + input_size: 784 + num_layers: 3 + output_size: 62 +optimizer: AdamW +optimizer_args: + amsgrad: false + betas: + - 0.9 + - 0.999 + eps: 1.0e-08 + lr: 0.01 + weight_decay: 5.0e-05 +train_args: + batch_size: 256 + epochs: 16 + val_metric: accuracy diff --git a/src/training/experiments/CharacterModel_Emnist_MLP/0721_151135/model/best.pt b/src/training/experiments/CharacterModel_Emnist_MLP/0721_151135/model/best.pt Binary files differnew file mode 100644 index 0000000..f833a89 --- /dev/null +++ b/src/training/experiments/CharacterModel_Emnist_MLP/0721_151135/model/best.pt diff --git a/src/training/experiments/CharacterModel_Emnist_MLP/0721_151135/model/last.pt b/src/training/experiments/CharacterModel_Emnist_MLP/0721_151135/model/last.pt Binary files differnew file mode 100644 index 0000000..f833a89 --- /dev/null +++ b/src/training/experiments/CharacterModel_Emnist_MLP/0721_151135/model/last.pt diff --git a/src/training/experiments/CharacterModel_Emnist_MLP/0721_151408/config.yml b/src/training/experiments/CharacterModel_Emnist_MLP/0721_151408/config.yml new file mode 100644 index 0000000..fb75736 --- /dev/null +++ b/src/training/experiments/CharacterModel_Emnist_MLP/0721_151408/config.yml @@ -0,0 +1,47 @@ +criterion: CrossEntropyLoss +criterion_args: + ignore_index: -100 + reduction: mean + weight: null +data_loader_args: + batch_size: 256 + cuda: true + num_workers: 0 + sample_to_balance: true + seed: 4711 + shuffle: true + splits: + - train + - val + subsample_fraction: null + target_transform: null + transform: null +dataloader: EmnistDataLoader +device: cuda:0 +experiment_group: Sample Experiments +lr_scheduler: OneCycleLR +lr_scheduler_args: + epochs: 16 + max_lr: 0.001 + steps_per_epoch: 1314 +metrics: +- accuracy +model: CharacterModel +network: MLP +network_args: + input_size: 784 + num_layers: 3 + output_size: 62 +optimizer: AdamW +optimizer_args: + amsgrad: false + betas: + - 0.9 + - 0.999 + eps: 1.0e-08 + lr: 0.01 + weight_decay: 5.0e-05 +train_args: + batch_size: 256 + epochs: 16 + val_metric: accuracy diff --git a/src/training/experiments/CharacterModel_Emnist_MLP/0721_153144/config.yml b/src/training/experiments/CharacterModel_Emnist_MLP/0721_153144/config.yml new file mode 100644 index 0000000..829297d --- /dev/null +++ b/src/training/experiments/CharacterModel_Emnist_MLP/0721_153144/config.yml @@ -0,0 +1,47 @@ +criterion: CrossEntropyLoss +criterion_args: + ignore_index: -100 + reduction: mean + weight: null +data_loader_args: + batch_size: 256 + cuda: true + num_workers: 0 + sample_to_balance: true + seed: 4711 + shuffle: true + splits: + - train + - val + subsample_fraction: null + target_transform: null + transform: null +dataloader: EmnistDataLoader +device: cuda:0 +experiment_group: Sample Experiments +lr_scheduler: OneCycleLR +lr_scheduler_args: + epochs: 16 + max_lr: 0.0003 + steps_per_epoch: 1314 +metrics: +- accuracy +model: CharacterModel +network: MLP +network_args: + input_size: 784 + num_layers: 3 + output_size: 62 +optimizer: AdamW +optimizer_args: + amsgrad: false + betas: + - 0.9 + - 0.999 + eps: 1.0e-08 + lr: 0.0006 + weight_decay: 5.0e-05 +train_args: + batch_size: 256 + epochs: 16 + val_metric: accuracy diff --git a/src/training/experiments/CharacterModel_Emnist_MLP/0721_153207/config.yml b/src/training/experiments/CharacterModel_Emnist_MLP/0721_153207/config.yml new file mode 100644 index 0000000..fb75736 --- /dev/null +++ b/src/training/experiments/CharacterModel_Emnist_MLP/0721_153207/config.yml @@ -0,0 +1,47 @@ +criterion: CrossEntropyLoss +criterion_args: + ignore_index: -100 + reduction: mean + weight: null +data_loader_args: + batch_size: 256 + cuda: true + num_workers: 0 + sample_to_balance: true + seed: 4711 + shuffle: true + splits: + - train + - val + subsample_fraction: null + target_transform: null + transform: null +dataloader: EmnistDataLoader +device: cuda:0 +experiment_group: Sample Experiments +lr_scheduler: OneCycleLR +lr_scheduler_args: + epochs: 16 + max_lr: 0.001 + steps_per_epoch: 1314 +metrics: +- accuracy +model: CharacterModel +network: MLP +network_args: + input_size: 784 + num_layers: 3 + output_size: 62 +optimizer: AdamW +optimizer_args: + amsgrad: false + betas: + - 0.9 + - 0.999 + eps: 1.0e-08 + lr: 0.01 + weight_decay: 5.0e-05 +train_args: + batch_size: 256 + epochs: 16 + val_metric: accuracy diff --git a/src/training/experiments/CharacterModel_Emnist_MLP/0721_153310/config.yml b/src/training/experiments/CharacterModel_Emnist_MLP/0721_153310/config.yml new file mode 100644 index 0000000..fb75736 --- /dev/null +++ b/src/training/experiments/CharacterModel_Emnist_MLP/0721_153310/config.yml @@ -0,0 +1,47 @@ +criterion: CrossEntropyLoss +criterion_args: + ignore_index: -100 + reduction: mean + weight: null +data_loader_args: + batch_size: 256 + cuda: true + num_workers: 0 + sample_to_balance: true + seed: 4711 + shuffle: true + splits: + - train + - val + subsample_fraction: null + target_transform: null + transform: null +dataloader: EmnistDataLoader +device: cuda:0 +experiment_group: Sample Experiments +lr_scheduler: OneCycleLR +lr_scheduler_args: + epochs: 16 + max_lr: 0.001 + steps_per_epoch: 1314 +metrics: +- accuracy +model: CharacterModel +network: MLP +network_args: + input_size: 784 + num_layers: 3 + output_size: 62 +optimizer: AdamW +optimizer_args: + amsgrad: false + betas: + - 0.9 + - 0.999 + eps: 1.0e-08 + lr: 0.01 + weight_decay: 5.0e-05 +train_args: + batch_size: 256 + epochs: 16 + val_metric: accuracy diff --git a/src/training/experiments/CharacterModel_Emnist_MLP/0721_153310/model/best.pt b/src/training/experiments/CharacterModel_Emnist_MLP/0721_153310/model/best.pt Binary files differnew file mode 100644 index 0000000..cbbc5e1 --- /dev/null +++ b/src/training/experiments/CharacterModel_Emnist_MLP/0721_153310/model/best.pt diff --git a/src/training/experiments/CharacterModel_Emnist_MLP/0721_153310/model/last.pt b/src/training/experiments/CharacterModel_Emnist_MLP/0721_153310/model/last.pt Binary files differnew file mode 100644 index 0000000..cbbc5e1 --- /dev/null +++ b/src/training/experiments/CharacterModel_Emnist_MLP/0721_153310/model/last.pt diff --git a/src/training/experiments/CharacterModel_Emnist_MLP/0721_175150/config.yml b/src/training/experiments/CharacterModel_Emnist_MLP/0721_175150/config.yml new file mode 100644 index 0000000..fb75736 --- /dev/null +++ b/src/training/experiments/CharacterModel_Emnist_MLP/0721_175150/config.yml @@ -0,0 +1,47 @@ +criterion: CrossEntropyLoss +criterion_args: + ignore_index: -100 + reduction: mean + weight: null +data_loader_args: + batch_size: 256 + cuda: true + num_workers: 0 + sample_to_balance: true + seed: 4711 + shuffle: true + splits: + - train + - val + subsample_fraction: null + target_transform: null + transform: null +dataloader: EmnistDataLoader +device: cuda:0 +experiment_group: Sample Experiments +lr_scheduler: OneCycleLR +lr_scheduler_args: + epochs: 16 + max_lr: 0.001 + steps_per_epoch: 1314 +metrics: +- accuracy +model: CharacterModel +network: MLP +network_args: + input_size: 784 + num_layers: 3 + output_size: 62 +optimizer: AdamW +optimizer_args: + amsgrad: false + betas: + - 0.9 + - 0.999 + eps: 1.0e-08 + lr: 0.01 + weight_decay: 5.0e-05 +train_args: + batch_size: 256 + epochs: 16 + val_metric: accuracy diff --git a/src/training/experiments/CharacterModel_Emnist_MLP/0721_175150/model/best.pt b/src/training/experiments/CharacterModel_Emnist_MLP/0721_175150/model/best.pt Binary files differnew file mode 100644 index 0000000..c93e3c6 --- /dev/null +++ b/src/training/experiments/CharacterModel_Emnist_MLP/0721_175150/model/best.pt diff --git a/src/training/experiments/CharacterModel_Emnist_MLP/0721_175150/model/last.pt b/src/training/experiments/CharacterModel_Emnist_MLP/0721_175150/model/last.pt Binary files differnew file mode 100644 index 0000000..c93e3c6 --- /dev/null +++ b/src/training/experiments/CharacterModel_Emnist_MLP/0721_175150/model/last.pt diff --git a/src/training/experiments/CharacterModel_Emnist_MLP/0721_180741/config.yml b/src/training/experiments/CharacterModel_Emnist_MLP/0721_180741/config.yml new file mode 100644 index 0000000..1be5113 --- /dev/null +++ b/src/training/experiments/CharacterModel_Emnist_MLP/0721_180741/config.yml @@ -0,0 +1,47 @@ +criterion: CrossEntropyLoss +criterion_args: + ignore_index: -100 + reduction: mean + weight: null +data_loader_args: + batch_size: 256 + cuda: true + num_workers: 0 + sample_to_balance: true + seed: 4711 + shuffle: true + splits: + - train + - val + subsample_fraction: null + target_transform: null + transform: null +dataloader: EmnistDataLoader +device: cuda:0 +experiment_group: Sample Experiments +lr_scheduler: OneCycleLR +lr_scheduler_args: + epochs: 16 + max_lr: 0.001 + steps_per_epoch: 1314 +metrics: +- accuracy +model: CharacterModel +network: MLP +network_args: + input_size: 784 + num_layers: 3 + output_size: 62 +optimizer: Adam +optimizer_args: + amsgrad: false + betas: + - 0.9 + - 0.999 + eps: 1.0e-08 + lr: 0.01 + weight_decay: 5.0e-05 +train_args: + batch_size: 256 + epochs: 16 + val_metric: accuracy diff --git a/src/training/experiments/CharacterModel_Emnist_MLP/0721_180741/model/best.pt b/src/training/experiments/CharacterModel_Emnist_MLP/0721_180741/model/best.pt Binary files differnew file mode 100644 index 0000000..580bad2 --- /dev/null +++ b/src/training/experiments/CharacterModel_Emnist_MLP/0721_180741/model/best.pt diff --git a/src/training/experiments/CharacterModel_Emnist_MLP/0721_180741/model/last.pt b/src/training/experiments/CharacterModel_Emnist_MLP/0721_180741/model/last.pt Binary files differnew file mode 100644 index 0000000..97e245c --- /dev/null +++ b/src/training/experiments/CharacterModel_Emnist_MLP/0721_180741/model/last.pt diff --git a/src/training/experiments/CharacterModel_Emnist_MLP/0721_181933/config.yml b/src/training/experiments/CharacterModel_Emnist_MLP/0721_181933/config.yml new file mode 100644 index 0000000..d2f98a2 --- /dev/null +++ b/src/training/experiments/CharacterModel_Emnist_MLP/0721_181933/config.yml @@ -0,0 +1,46 @@ +criterion: CrossEntropyLoss +criterion_args: + ignore_index: -100 + reduction: mean + weight: null +data_loader_args: + batch_size: 256 + cuda: true + num_workers: 0 + sample_to_balance: true + seed: 4711 + shuffle: true + splits: + - train + - val + subsample_fraction: null + target_transform: null + transform: null +dataloader: EmnistDataLoader +device: cuda:0 +experiment_group: Sample Experiments +lr_scheduler: OneCycleLR +lr_scheduler_args: + epochs: 16 + max_lr: 0.001 + steps_per_epoch: 1314 +metrics: +- accuracy +model: CharacterModel +network: MLP +network_args: + input_size: 784 + num_layers: 3 + output_size: 62 +optimizer: Adamax +optimizer_args: + betas: + - 0.9 + - 0.999 + eps: 1.0e-08 + lr: 0.01 + weight_decay: 0 +train_args: + batch_size: 256 + epochs: 16 + val_metric: accuracy diff --git a/src/training/experiments/CharacterModel_Emnist_MLP/0721_181933/model/best.pt b/src/training/experiments/CharacterModel_Emnist_MLP/0721_181933/model/best.pt Binary files differnew file mode 100644 index 0000000..5a3df56 --- /dev/null +++ b/src/training/experiments/CharacterModel_Emnist_MLP/0721_181933/model/best.pt diff --git a/src/training/experiments/CharacterModel_Emnist_MLP/0721_181933/model/last.pt b/src/training/experiments/CharacterModel_Emnist_MLP/0721_181933/model/last.pt Binary files differnew file mode 100644 index 0000000..7f28dc3 --- /dev/null +++ b/src/training/experiments/CharacterModel_Emnist_MLP/0721_181933/model/last.pt diff --git a/src/training/experiments/CharacterModel_Emnist_MLP/0721_183347/config.yml b/src/training/experiments/CharacterModel_Emnist_MLP/0721_183347/config.yml new file mode 100644 index 0000000..d2f98a2 --- /dev/null +++ b/src/training/experiments/CharacterModel_Emnist_MLP/0721_183347/config.yml @@ -0,0 +1,46 @@ +criterion: CrossEntropyLoss +criterion_args: + ignore_index: -100 + reduction: mean + weight: null +data_loader_args: + batch_size: 256 + cuda: true + num_workers: 0 + sample_to_balance: true + seed: 4711 + shuffle: true + splits: + - train + - val + subsample_fraction: null + target_transform: null + transform: null +dataloader: EmnistDataLoader +device: cuda:0 +experiment_group: Sample Experiments +lr_scheduler: OneCycleLR +lr_scheduler_args: + epochs: 16 + max_lr: 0.001 + steps_per_epoch: 1314 +metrics: +- accuracy +model: CharacterModel +network: MLP +network_args: + input_size: 784 + num_layers: 3 + output_size: 62 +optimizer: Adamax +optimizer_args: + betas: + - 0.9 + - 0.999 + eps: 1.0e-08 + lr: 0.01 + weight_decay: 0 +train_args: + batch_size: 256 + epochs: 16 + val_metric: accuracy diff --git a/src/training/experiments/CharacterModel_Emnist_MLP/0721_183347/model/best.pt b/src/training/experiments/CharacterModel_Emnist_MLP/0721_183347/model/best.pt Binary files differnew file mode 100644 index 0000000..6f09780 --- /dev/null +++ b/src/training/experiments/CharacterModel_Emnist_MLP/0721_183347/model/best.pt diff --git a/src/training/experiments/CharacterModel_Emnist_MLP/0721_183347/model/last.pt b/src/training/experiments/CharacterModel_Emnist_MLP/0721_183347/model/last.pt Binary files differnew file mode 100644 index 0000000..3bb103e --- /dev/null +++ b/src/training/experiments/CharacterModel_Emnist_MLP/0721_183347/model/last.pt diff --git a/src/training/experiments/CharacterModel_Emnist_MLP/0721_190044/config.yml b/src/training/experiments/CharacterModel_Emnist_MLP/0721_190044/config.yml new file mode 100644 index 0000000..a7c66c5 --- /dev/null +++ b/src/training/experiments/CharacterModel_Emnist_MLP/0721_190044/config.yml @@ -0,0 +1,46 @@ +criterion: CrossEntropyLoss +criterion_args: + ignore_index: -100 + reduction: mean + weight: null +data_loader_args: + batch_size: 256 + cuda: true + num_workers: 0 + sample_to_balance: true + seed: 4711 + shuffle: true + splits: + - train + - val + subsample_fraction: null + target_transform: null + transform: null +dataloader: EmnistDataLoader +device: cuda:0 +experiment_group: Sample Experiments +lr_scheduler: OneCycleLR +lr_scheduler_args: + epochs: 16 + max_lr: 0.001 + steps_per_epoch: 1314 +metrics: +- accuracy +model: CharacterModel +network: MLP +network_args: + input_size: 784 + num_layers: 3 + output_size: 62 +optimizer: AdamW +optimizer_args: + betas: + - 0.9 + - 0.999 + eps: 1.0e-08 + lr: 0.01 + weight_decay: 0 +train_args: + batch_size: 256 + epochs: 16 + val_metric: accuracy diff --git a/src/training/experiments/CharacterModel_Emnist_MLP/0721_190044/model/best.pt b/src/training/experiments/CharacterModel_Emnist_MLP/0721_190044/model/best.pt Binary files differnew file mode 100644 index 0000000..c3e3618 --- /dev/null +++ b/src/training/experiments/CharacterModel_Emnist_MLP/0721_190044/model/best.pt diff --git a/src/training/experiments/CharacterModel_Emnist_MLP/0721_190044/model/last.pt b/src/training/experiments/CharacterModel_Emnist_MLP/0721_190044/model/last.pt Binary files differnew file mode 100644 index 0000000..c3e3618 --- /dev/null +++ b/src/training/experiments/CharacterModel_Emnist_MLP/0721_190044/model/last.pt diff --git a/src/training/experiments/CharacterModel_Emnist_MLP/0721_190633/config.yml b/src/training/experiments/CharacterModel_Emnist_MLP/0721_190633/config.yml new file mode 100644 index 0000000..a7c66c5 --- /dev/null +++ b/src/training/experiments/CharacterModel_Emnist_MLP/0721_190633/config.yml @@ -0,0 +1,46 @@ +criterion: CrossEntropyLoss +criterion_args: + ignore_index: -100 + reduction: mean + weight: null +data_loader_args: + batch_size: 256 + cuda: true + num_workers: 0 + sample_to_balance: true + seed: 4711 + shuffle: true + splits: + - train + - val + subsample_fraction: null + target_transform: null + transform: null +dataloader: EmnistDataLoader +device: cuda:0 +experiment_group: Sample Experiments +lr_scheduler: OneCycleLR +lr_scheduler_args: + epochs: 16 + max_lr: 0.001 + steps_per_epoch: 1314 +metrics: +- accuracy +model: CharacterModel +network: MLP +network_args: + input_size: 784 + num_layers: 3 + output_size: 62 +optimizer: AdamW +optimizer_args: + betas: + - 0.9 + - 0.999 + eps: 1.0e-08 + lr: 0.01 + weight_decay: 0 +train_args: + batch_size: 256 + epochs: 16 + val_metric: accuracy diff --git a/src/training/experiments/CharacterModel_Emnist_MLP/0721_190633/model/best.pt b/src/training/experiments/CharacterModel_Emnist_MLP/0721_190633/model/best.pt Binary files differnew file mode 100644 index 0000000..44d9b9b --- /dev/null +++ b/src/training/experiments/CharacterModel_Emnist_MLP/0721_190633/model/best.pt diff --git a/src/training/experiments/CharacterModel_Emnist_MLP/0721_190633/model/last.pt b/src/training/experiments/CharacterModel_Emnist_MLP/0721_190633/model/last.pt Binary files differnew file mode 100644 index 0000000..44d9b9b --- /dev/null +++ b/src/training/experiments/CharacterModel_Emnist_MLP/0721_190633/model/last.pt diff --git a/src/training/experiments/CharacterModel_Emnist_MLP/0721_190738/config.yml b/src/training/experiments/CharacterModel_Emnist_MLP/0721_190738/config.yml new file mode 100644 index 0000000..a7c66c5 --- /dev/null +++ b/src/training/experiments/CharacterModel_Emnist_MLP/0721_190738/config.yml @@ -0,0 +1,46 @@ +criterion: CrossEntropyLoss +criterion_args: + ignore_index: -100 + reduction: mean + weight: null +data_loader_args: + batch_size: 256 + cuda: true + num_workers: 0 + sample_to_balance: true + seed: 4711 + shuffle: true + splits: + - train + - val + subsample_fraction: null + target_transform: null + transform: null +dataloader: EmnistDataLoader +device: cuda:0 +experiment_group: Sample Experiments +lr_scheduler: OneCycleLR +lr_scheduler_args: + epochs: 16 + max_lr: 0.001 + steps_per_epoch: 1314 +metrics: +- accuracy +model: CharacterModel +network: MLP +network_args: + input_size: 784 + num_layers: 3 + output_size: 62 +optimizer: AdamW +optimizer_args: + betas: + - 0.9 + - 0.999 + eps: 1.0e-08 + lr: 0.01 + weight_decay: 0 +train_args: + batch_size: 256 + epochs: 16 + val_metric: accuracy diff --git a/src/training/experiments/CharacterModel_Emnist_MLP/0721_190738/model/best.pt b/src/training/experiments/CharacterModel_Emnist_MLP/0721_190738/model/best.pt Binary files differnew file mode 100644 index 0000000..4a0333c --- /dev/null +++ b/src/training/experiments/CharacterModel_Emnist_MLP/0721_190738/model/best.pt diff --git a/src/training/experiments/CharacterModel_Emnist_MLP/0721_190738/model/last.pt b/src/training/experiments/CharacterModel_Emnist_MLP/0721_190738/model/last.pt Binary files differnew file mode 100644 index 0000000..4a0333c --- /dev/null +++ b/src/training/experiments/CharacterModel_Emnist_MLP/0721_190738/model/last.pt diff --git a/src/training/experiments/CharacterModel_Emnist_MLP/0721_191111/config.yml b/src/training/experiments/CharacterModel_Emnist_MLP/0721_191111/config.yml new file mode 100644 index 0000000..a7c66c5 --- /dev/null +++ b/src/training/experiments/CharacterModel_Emnist_MLP/0721_191111/config.yml @@ -0,0 +1,46 @@ +criterion: CrossEntropyLoss +criterion_args: + ignore_index: -100 + reduction: mean + weight: null +data_loader_args: + batch_size: 256 + cuda: true + num_workers: 0 + sample_to_balance: true + seed: 4711 + shuffle: true + splits: + - train + - val + subsample_fraction: null + target_transform: null + transform: null +dataloader: EmnistDataLoader +device: cuda:0 +experiment_group: Sample Experiments +lr_scheduler: OneCycleLR +lr_scheduler_args: + epochs: 16 + max_lr: 0.001 + steps_per_epoch: 1314 +metrics: +- accuracy +model: CharacterModel +network: MLP +network_args: + input_size: 784 + num_layers: 3 + output_size: 62 +optimizer: AdamW +optimizer_args: + betas: + - 0.9 + - 0.999 + eps: 1.0e-08 + lr: 0.01 + weight_decay: 0 +train_args: + batch_size: 256 + epochs: 16 + val_metric: accuracy diff --git a/src/training/experiments/CharacterModel_Emnist_MLP/0721_191310/config.yml b/src/training/experiments/CharacterModel_Emnist_MLP/0721_191310/config.yml new file mode 100644 index 0000000..08c344c --- /dev/null +++ b/src/training/experiments/CharacterModel_Emnist_MLP/0721_191310/config.yml @@ -0,0 +1,46 @@ +criterion: CrossEntropyLoss +criterion_args: + ignore_index: -100 + reduction: mean + weight: null +data_loader_args: + batch_size: 256 + cuda: true + num_workers: 1 + sample_to_balance: true + seed: 4711 + shuffle: true + splits: + - train + - val + subsample_fraction: null + target_transform: null + transform: null +dataloader: EmnistDataLoader +device: cuda:0 +experiment_group: Sample Experiments +lr_scheduler: OneCycleLR +lr_scheduler_args: + epochs: 16 + max_lr: 0.001 + steps_per_epoch: 1314 +metrics: +- accuracy +model: CharacterModel +network: MLP +network_args: + input_size: 784 + num_layers: 3 + output_size: 62 +optimizer: AdamW +optimizer_args: + betas: + - 0.9 + - 0.999 + eps: 1.0e-08 + lr: 0.01 + weight_decay: 0 +train_args: + batch_size: 256 + epochs: 16 + val_metric: accuracy diff --git a/src/training/experiments/CharacterModel_Emnist_MLP/0721_191310/model/best.pt b/src/training/experiments/CharacterModel_Emnist_MLP/0721_191310/model/best.pt Binary files differnew file mode 100644 index 0000000..076aae1 --- /dev/null +++ b/src/training/experiments/CharacterModel_Emnist_MLP/0721_191310/model/best.pt diff --git a/src/training/experiments/CharacterModel_Emnist_MLP/0721_191310/model/last.pt b/src/training/experiments/CharacterModel_Emnist_MLP/0721_191310/model/last.pt Binary files differnew file mode 100644 index 0000000..076aae1 --- /dev/null +++ b/src/training/experiments/CharacterModel_Emnist_MLP/0721_191310/model/last.pt diff --git a/src/training/experiments/CharacterModel_Emnist_MLP/0721_191412/config.yml b/src/training/experiments/CharacterModel_Emnist_MLP/0721_191412/config.yml new file mode 100644 index 0000000..0b9b10e --- /dev/null +++ b/src/training/experiments/CharacterModel_Emnist_MLP/0721_191412/config.yml @@ -0,0 +1,42 @@ +criterion: CrossEntropyLoss +criterion_args: + ignore_index: -100 + reduction: mean + weight: null +data_loader_args: + batch_size: 256 + cuda: true + num_workers: 1 + sample_to_balance: true + seed: 4711 + shuffle: true + splits: + - train + - val + subsample_fraction: null + target_transform: null + transform: null +dataloader: EmnistDataLoader +device: cuda:0 +experiment_group: Sample Experiments +lr_scheduler: null +metrics: +- accuracy +model: CharacterModel +network: MLP +network_args: + input_size: 784 + num_layers: 3 + output_size: 62 +optimizer: RMSprop +optimizer_args: + alpha: 0.9 + centered: false + eps: 1.0e-07 + lr: 0.001 + momentum: 0 + weight_decay: 0 +train_args: + batch_size: 256 + epochs: 16 + val_metric: accuracy diff --git a/src/training/experiments/CharacterModel_Emnist_MLP/0721_191412/model/best.pt b/src/training/experiments/CharacterModel_Emnist_MLP/0721_191412/model/best.pt Binary files differnew file mode 100644 index 0000000..2fb0195 --- /dev/null +++ b/src/training/experiments/CharacterModel_Emnist_MLP/0721_191412/model/best.pt diff --git a/src/training/experiments/CharacterModel_Emnist_MLP/0721_191412/model/last.pt b/src/training/experiments/CharacterModel_Emnist_MLP/0721_191412/model/last.pt Binary files differnew file mode 100644 index 0000000..2fb0195 --- /dev/null +++ b/src/training/experiments/CharacterModel_Emnist_MLP/0721_191412/model/last.pt diff --git a/src/training/experiments/CharacterModel_Emnist_MLP/0721_191504/config.yml b/src/training/experiments/CharacterModel_Emnist_MLP/0721_191504/config.yml new file mode 100644 index 0000000..93c2854 --- /dev/null +++ b/src/training/experiments/CharacterModel_Emnist_MLP/0721_191504/config.yml @@ -0,0 +1,42 @@ +criterion: CrossEntropyLoss +criterion_args: + ignore_index: -100 + reduction: mean + weight: null +data_loader_args: + batch_size: 256 + cuda: true + num_workers: 4 + sample_to_balance: true + seed: 4711 + shuffle: true + splits: + - train + - val + subsample_fraction: null + target_transform: null + transform: null +dataloader: EmnistDataLoader +device: cuda:0 +experiment_group: Sample Experiments +lr_scheduler: null +metrics: +- accuracy +model: CharacterModel +network: MLP +network_args: + input_size: 784 + num_layers: 3 + output_size: 62 +optimizer: RMSprop +optimizer_args: + alpha: 0.9 + centered: false + eps: 1.0e-07 + lr: 0.001 + momentum: 0 + weight_decay: 0 +train_args: + batch_size: 256 + epochs: 16 + val_metric: accuracy diff --git a/src/training/experiments/CharacterModel_Emnist_MLP/0721_191504/model/best.pt b/src/training/experiments/CharacterModel_Emnist_MLP/0721_191504/model/best.pt Binary files differnew file mode 100644 index 0000000..9acc5b1 --- /dev/null +++ b/src/training/experiments/CharacterModel_Emnist_MLP/0721_191504/model/best.pt diff --git a/src/training/experiments/CharacterModel_Emnist_MLP/0721_191504/model/last.pt b/src/training/experiments/CharacterModel_Emnist_MLP/0721_191504/model/last.pt Binary files differnew file mode 100644 index 0000000..b8cc01c --- /dev/null +++ b/src/training/experiments/CharacterModel_Emnist_MLP/0721_191504/model/last.pt diff --git a/src/training/experiments/CharacterModel_Emnist_MLP/0721_191826/config.yml b/src/training/experiments/CharacterModel_Emnist_MLP/0721_191826/config.yml new file mode 100644 index 0000000..7340941 --- /dev/null +++ b/src/training/experiments/CharacterModel_Emnist_MLP/0721_191826/config.yml @@ -0,0 +1,47 @@ +criterion: CrossEntropyLoss +criterion_args: + ignore_index: -100 + reduction: mean + weight: null +data_loader_args: + batch_size: 256 + cuda: true + num_workers: 8 + sample_to_balance: true + seed: 4711 + shuffle: true + splits: + - train + - val + subsample_fraction: null + target_transform: null + transform: null +dataloader: EmnistDataLoader +device: cuda:0 +experiment_group: Sample Experiments +lr_scheduler: OneCycleLR +lr_scheduler_args: + epochs: 16 + max_lr: 0.001 + steps_per_epoch: 1314 +metrics: +- accuracy +model: CharacterModel +network: MLP +network_args: + input_size: 784 + num_layers: 3 + output_size: 62 +optimizer: AdamW +optimizer_args: + amsgrad: false + betas: + - 0.9 + - 0.999 + eps: 1.0e-08 + lr: 0.01 + weight_decay: 0 +train_args: + batch_size: 256 + epochs: 16 + val_metric: accuracy diff --git a/src/training/experiments/CharacterModel_Emnist_MLP/0721_191826/model/best.pt b/src/training/experiments/CharacterModel_Emnist_MLP/0721_191826/model/best.pt Binary files differnew file mode 100644 index 0000000..26bfb07 --- /dev/null +++ b/src/training/experiments/CharacterModel_Emnist_MLP/0721_191826/model/best.pt diff --git a/src/training/experiments/CharacterModel_Emnist_MLP/0721_191826/model/last.pt b/src/training/experiments/CharacterModel_Emnist_MLP/0721_191826/model/last.pt Binary files differnew file mode 100644 index 0000000..26bfb07 --- /dev/null +++ b/src/training/experiments/CharacterModel_Emnist_MLP/0721_191826/model/last.pt diff --git a/src/training/experiments/CharacterModel_Emnist_MLP/0722_191559/config.yml b/src/training/experiments/CharacterModel_Emnist_MLP/0722_191559/config.yml new file mode 100644 index 0000000..90f0e13 --- /dev/null +++ b/src/training/experiments/CharacterModel_Emnist_MLP/0722_191559/config.yml @@ -0,0 +1,49 @@ +criterion: CrossEntropyLoss +criterion_args: + ignore_index: -100 + reduction: mean + weight: null +data_loader_args: + batch_size: 256 + cuda: true + num_workers: 8 + sample_to_balance: true + seed: 4711 + shuffle: true + splits: + - train + - val + subsample_fraction: null + target_transform: null + transform: null +dataloader: EmnistDataLoader +device: cuda:0 +experiment_group: Sample Experiments +lr_scheduler: OneCycleLR +lr_scheduler_args: + epochs: 33 + max_lr: 0.001 + steps_per_epoch: 1314 +metrics: +- accuracy +model: CharacterModel +network: MLP +network_args: + input_size: 784 + num_layers: 3 + output_size: 62 +optimizer: AdamW +optimizer_args: + amsgrad: false + betas: + - 0.9 + - 0.999 + eps: 1.0e-08 + lr: 0.01 + weight_decay: 0 +resume_experiment: last +train_args: + batch_size: 256 + epochs: 33 + val_metric: accuracy +verbosity: 1 diff --git a/src/training/experiments/CharacterModel_Emnist_MLP/0722_191559/model/best.pt b/src/training/experiments/CharacterModel_Emnist_MLP/0722_191559/model/best.pt Binary files differnew file mode 100644 index 0000000..f0f297b --- /dev/null +++ b/src/training/experiments/CharacterModel_Emnist_MLP/0722_191559/model/best.pt diff --git a/src/training/experiments/CharacterModel_Emnist_MLP/0722_191559/model/last.pt b/src/training/experiments/CharacterModel_Emnist_MLP/0722_191559/model/last.pt Binary files differnew file mode 100644 index 0000000..c1adda5 --- /dev/null +++ b/src/training/experiments/CharacterModel_Emnist_MLP/0722_191559/model/last.pt diff --git a/src/training/experiments/CharacterModel_Emnist_MLP/0722_213125/config.yml b/src/training/experiments/CharacterModel_Emnist_MLP/0722_213125/config.yml new file mode 100644 index 0000000..8d77de5 --- /dev/null +++ b/src/training/experiments/CharacterModel_Emnist_MLP/0722_213125/config.yml @@ -0,0 +1,49 @@ +criterion: CrossEntropyLoss +criterion_args: + ignore_index: -100 + reduction: mean + weight: null +data_loader_args: + batch_size: 256 + cuda: true + num_workers: 8 + sample_to_balance: true + seed: 4711 + shuffle: true + splits: + - train + - val + subsample_fraction: null + target_transform: null + transform: null +dataloader: EmnistDataLoader +device: cuda:0 +experiment_group: Sample Experiments +lr_scheduler: OneCycleLR +lr_scheduler_args: + epochs: 16 + max_lr: 0.001 + steps_per_epoch: 1314 +metrics: +- accuracy +model: CharacterModel +network: MLP +network_args: + input_size: 784 + num_layers: 3 + output_size: 62 +optimizer: AdamW +optimizer_args: + amsgrad: false + betas: + - 0.9 + - 0.999 + eps: 1.0e-08 + lr: 0.01 + weight_decay: 0 +resume_experiment: null +train_args: + batch_size: 256 + epochs: 16 + val_metric: accuracy +verbosity: 2 diff --git a/src/training/experiments/CharacterModel_Emnist_MLP/0722_213413/config.yml b/src/training/experiments/CharacterModel_Emnist_MLP/0722_213413/config.yml new file mode 100644 index 0000000..8d77de5 --- /dev/null +++ b/src/training/experiments/CharacterModel_Emnist_MLP/0722_213413/config.yml @@ -0,0 +1,49 @@ +criterion: CrossEntropyLoss +criterion_args: + ignore_index: -100 + reduction: mean + weight: null +data_loader_args: + batch_size: 256 + cuda: true + num_workers: 8 + sample_to_balance: true + seed: 4711 + shuffle: true + splits: + - train + - val + subsample_fraction: null + target_transform: null + transform: null +dataloader: EmnistDataLoader +device: cuda:0 +experiment_group: Sample Experiments +lr_scheduler: OneCycleLR +lr_scheduler_args: + epochs: 16 + max_lr: 0.001 + steps_per_epoch: 1314 +metrics: +- accuracy +model: CharacterModel +network: MLP +network_args: + input_size: 784 + num_layers: 3 + output_size: 62 +optimizer: AdamW +optimizer_args: + amsgrad: false + betas: + - 0.9 + - 0.999 + eps: 1.0e-08 + lr: 0.01 + weight_decay: 0 +resume_experiment: null +train_args: + batch_size: 256 + epochs: 16 + val_metric: accuracy +verbosity: 2 diff --git a/src/training/experiments/CharacterModel_Emnist_MLP/0722_213413/model/best.pt b/src/training/experiments/CharacterModel_Emnist_MLP/0722_213413/model/best.pt Binary files differnew file mode 100644 index 0000000..e985997 --- /dev/null +++ b/src/training/experiments/CharacterModel_Emnist_MLP/0722_213413/model/best.pt diff --git a/src/training/experiments/CharacterModel_Emnist_MLP/0722_213413/model/last.pt b/src/training/experiments/CharacterModel_Emnist_MLP/0722_213413/model/last.pt Binary files differnew file mode 100644 index 0000000..e985997 --- /dev/null +++ b/src/training/experiments/CharacterModel_Emnist_MLP/0722_213413/model/last.pt diff --git a/src/training/experiments/CharacterModel_Emnist_MLP/0722_213549/config.yml b/src/training/experiments/CharacterModel_Emnist_MLP/0722_213549/config.yml new file mode 100644 index 0000000..8d77de5 --- /dev/null +++ b/src/training/experiments/CharacterModel_Emnist_MLP/0722_213549/config.yml @@ -0,0 +1,49 @@ +criterion: CrossEntropyLoss +criterion_args: + ignore_index: -100 + reduction: mean + weight: null +data_loader_args: + batch_size: 256 + cuda: true + num_workers: 8 + sample_to_balance: true + seed: 4711 + shuffle: true + splits: + - train + - val + subsample_fraction: null + target_transform: null + transform: null +dataloader: EmnistDataLoader +device: cuda:0 +experiment_group: Sample Experiments +lr_scheduler: OneCycleLR +lr_scheduler_args: + epochs: 16 + max_lr: 0.001 + steps_per_epoch: 1314 +metrics: +- accuracy +model: CharacterModel +network: MLP +network_args: + input_size: 784 + num_layers: 3 + output_size: 62 +optimizer: AdamW +optimizer_args: + amsgrad: false + betas: + - 0.9 + - 0.999 + eps: 1.0e-08 + lr: 0.01 + weight_decay: 0 +resume_experiment: null +train_args: + batch_size: 256 + epochs: 16 + val_metric: accuracy +verbosity: 2 diff --git a/src/training/experiments/CharacterModel_Emnist_MLP/0722_213549/model/best.pt b/src/training/experiments/CharacterModel_Emnist_MLP/0722_213549/model/best.pt Binary files differnew file mode 100644 index 0000000..0dde787 --- /dev/null +++ b/src/training/experiments/CharacterModel_Emnist_MLP/0722_213549/model/best.pt diff --git a/src/training/experiments/CharacterModel_Emnist_MLP/0722_213549/model/last.pt b/src/training/experiments/CharacterModel_Emnist_MLP/0722_213549/model/last.pt Binary files differnew file mode 100644 index 0000000..e02738b --- /dev/null +++ b/src/training/experiments/CharacterModel_Emnist_MLP/0722_213549/model/last.pt diff --git a/src/training/experiments/sample.yml b/src/training/experiments/sample.yml new file mode 100644 index 0000000..0ed560d --- /dev/null +++ b/src/training/experiments/sample.yml @@ -0,0 +1,43 @@ +experiment_group: Sample Experiments +experiments: + - dataloader: EmnistDataLoader + model: CharacterModel + metrics: [accuracy] + network: MLP + network_args: + input_shape: 784 + num_layers: 2 + train_args: + batch_size: 256 + epochs: 16 + criterion: CrossEntropyLoss + criterion_args: + weight: null + ignore_index: -100 + reduction: mean + optimizer: AdamW + optimizer_args: + lr: 3.e-4 + betas: [0.9, 0.999] + eps: 1.e-08 + weight_decay: 0 + amsgrad: false + lr_scheduler: OneCycleLR + lr_scheduler_args: + max_lr: 3.e-5 + epochs: 16 + # - dataloader: EmnistDataLoader + # model: CharacterModel + # network: MLP + # network_args: + # input_shape: 784 + # num_layers: 4 + # train_args: + # batch_size: 256 + # - dataloader: EmnistDataLoader + # model: CharacterModel + # network: LeNet + # network_args: + # input_shape: [28, 28] + # train_args: + # batch_size: 256 diff --git a/src/training/experiments/sample_experiment.yml b/src/training/experiments/sample_experiment.yml new file mode 100644 index 0000000..e8d5023 --- /dev/null +++ b/src/training/experiments/sample_experiment.yml @@ -0,0 +1,56 @@ +experiment_group: Sample Experiments +experiments: + - dataloader: EmnistDataLoader + data_loader_args: + splits: [train, val] + sample_to_balance: true + subsample_fraction: null + transform: null + target_transform: null + batch_size: 256 + shuffle: true + num_workers: 8 + cuda: true + seed: 4711 + model: CharacterModel + metrics: [accuracy] + network: MLP + network_args: + input_size: 784 + output_size: 62 + num_layers: 3 + # network: LeNet + # network_args: + # input_size: [28, 28] + # output_size: 62 + train_args: + batch_size: 256 + epochs: 16 + val_metric: accuracy + criterion: CrossEntropyLoss + criterion_args: + weight: null + ignore_index: -100 + reduction: mean + # optimizer: RMSprop + # optimizer_args: + # lr: 1.e-3 + # alpha: 0.9 + # eps: 1.e-7 + # momentum: 0 + # weight_decay: 0 + # centered: false + optimizer: AdamW + optimizer_args: + lr: 1.e-2 + betas: [0.9, 0.999] + eps: 1.e-08 + weight_decay: 0 + amsgrad: false + # lr_scheduler: null + lr_scheduler: OneCycleLR + lr_scheduler_args: + max_lr: 1.e-3 + epochs: 16 + verbosity: 2 # 0, 1, 2 + resume_experiment: null |