diff options
| author | aktersnurra <gustaf.rydholm@gmail.com> | 2020-07-22 23:18:08 +0200 |
|---|---|---|
| committer | aktersnurra <gustaf.rydholm@gmail.com> | 2020-07-22 23:18:08 +0200 |
| commit | f473456c19558aaf8552df97a51d4e18cc69dfa8 (patch) | |
| tree | 0d35ce2410ff623ba5fb433d616d95b67ecf7a98 /src/training/experiments/CharacterModel_Emnist_MLP | |
| parent | ad3bd52530f4800d4fb05dfef3354921f95513af (diff) | |
Working training loop and testing of trained CharacterModel.
Diffstat (limited to 'src/training/experiments/CharacterModel_Emnist_MLP')
68 files changed, 1397 insertions, 0 deletions
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 |