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-rw-r--r--src/training/experiments/CharacterModel_Emnist_LeNet/0721_231455/config.yml48
-rw-r--r--src/training/experiments/CharacterModel_Emnist_LeNet/0721_231455/model/best.ptbin0 -> 14483400 bytes
-rw-r--r--src/training/experiments/CharacterModel_Emnist_LeNet/0721_231455/model/last.ptbin0 -> 14483400 bytes
-rw-r--r--src/training/experiments/CharacterModel_Emnist_LeNet/0722_190746/config.yml48
-rw-r--r--src/training/experiments/CharacterModel_Emnist_LeNet/0722_190746/model/best.ptbin0 -> 14483400 bytes
-rw-r--r--src/training/experiments/CharacterModel_Emnist_LeNet/0722_190746/model/last.ptbin0 -> 14483400 bytes
-rw-r--r--src/training/experiments/CharacterModel_Emnist_MLP/0721_124928/config.yml43
-rw-r--r--src/training/experiments/CharacterModel_Emnist_MLP/0721_141139/config.yml47
-rw-r--r--src/training/experiments/CharacterModel_Emnist_MLP/0721_141213/config.yml47
-rw-r--r--src/training/experiments/CharacterModel_Emnist_MLP/0721_141213/model/best.ptbin0 -> 1901268 bytes
-rw-r--r--src/training/experiments/CharacterModel_Emnist_MLP/0721_141213/model/last.ptbin0 -> 1901268 bytes
-rw-r--r--src/training/experiments/CharacterModel_Emnist_MLP/0721_141433/config.yml47
-rw-r--r--src/training/experiments/CharacterModel_Emnist_MLP/0721_141433/model/best.ptbin0 -> 1901268 bytes
-rw-r--r--src/training/experiments/CharacterModel_Emnist_MLP/0721_141433/model/last.ptbin0 -> 1901268 bytes
-rw-r--r--src/training/experiments/CharacterModel_Emnist_MLP/0721_141702/config.yml47
-rw-r--r--src/training/experiments/CharacterModel_Emnist_MLP/0721_141702/model/best.ptbin0 -> 1901268 bytes
-rw-r--r--src/training/experiments/CharacterModel_Emnist_MLP/0721_141702/model/last.ptbin0 -> 1901268 bytes
-rw-r--r--src/training/experiments/CharacterModel_Emnist_MLP/0721_145028/config.yml47
-rw-r--r--src/training/experiments/CharacterModel_Emnist_MLP/0721_150212/config.yml47
-rw-r--r--src/training/experiments/CharacterModel_Emnist_MLP/0721_150301/config.yml47
-rw-r--r--src/training/experiments/CharacterModel_Emnist_MLP/0721_150317/config.yml47
-rw-r--r--src/training/experiments/CharacterModel_Emnist_MLP/0721_151135/config.yml47
-rw-r--r--src/training/experiments/CharacterModel_Emnist_MLP/0721_151135/model/best.ptbin0 -> 1901268 bytes
-rw-r--r--src/training/experiments/CharacterModel_Emnist_MLP/0721_151135/model/last.ptbin0 -> 1901268 bytes
-rw-r--r--src/training/experiments/CharacterModel_Emnist_MLP/0721_151408/config.yml47
-rw-r--r--src/training/experiments/CharacterModel_Emnist_MLP/0721_153144/config.yml47
-rw-r--r--src/training/experiments/CharacterModel_Emnist_MLP/0721_153207/config.yml47
-rw-r--r--src/training/experiments/CharacterModel_Emnist_MLP/0721_153310/config.yml47
-rw-r--r--src/training/experiments/CharacterModel_Emnist_MLP/0721_153310/model/best.ptbin0 -> 1702142 bytes
-rw-r--r--src/training/experiments/CharacterModel_Emnist_MLP/0721_153310/model/last.ptbin0 -> 1702142 bytes
-rw-r--r--src/training/experiments/CharacterModel_Emnist_MLP/0721_175150/config.yml47
-rw-r--r--src/training/experiments/CharacterModel_Emnist_MLP/0721_175150/model/best.ptbin0 -> 1702142 bytes
-rw-r--r--src/training/experiments/CharacterModel_Emnist_MLP/0721_175150/model/last.ptbin0 -> 1702142 bytes
-rw-r--r--src/training/experiments/CharacterModel_Emnist_MLP/0721_180741/config.yml47
-rw-r--r--src/training/experiments/CharacterModel_Emnist_MLP/0721_180741/model/best.ptbin0 -> 1702142 bytes
-rw-r--r--src/training/experiments/CharacterModel_Emnist_MLP/0721_180741/model/last.ptbin0 -> 1702142 bytes
-rw-r--r--src/training/experiments/CharacterModel_Emnist_MLP/0721_181933/config.yml46
-rw-r--r--src/training/experiments/CharacterModel_Emnist_MLP/0721_181933/model/best.ptbin0 -> 1702114 bytes
-rw-r--r--src/training/experiments/CharacterModel_Emnist_MLP/0721_181933/model/last.ptbin0 -> 1702114 bytes
-rw-r--r--src/training/experiments/CharacterModel_Emnist_MLP/0721_183347/config.yml46
-rw-r--r--src/training/experiments/CharacterModel_Emnist_MLP/0721_183347/model/best.ptbin0 -> 1702114 bytes
-rw-r--r--src/training/experiments/CharacterModel_Emnist_MLP/0721_183347/model/last.ptbin0 -> 1702114 bytes
-rw-r--r--src/training/experiments/CharacterModel_Emnist_MLP/0721_190044/config.yml46
-rw-r--r--src/training/experiments/CharacterModel_Emnist_MLP/0721_190044/model/best.ptbin0 -> 1702135 bytes
-rw-r--r--src/training/experiments/CharacterModel_Emnist_MLP/0721_190044/model/last.ptbin0 -> 1702135 bytes
-rw-r--r--src/training/experiments/CharacterModel_Emnist_MLP/0721_190633/config.yml46
-rw-r--r--src/training/experiments/CharacterModel_Emnist_MLP/0721_190633/model/best.ptbin0 -> 1702135 bytes
-rw-r--r--src/training/experiments/CharacterModel_Emnist_MLP/0721_190633/model/last.ptbin0 -> 1702135 bytes
-rw-r--r--src/training/experiments/CharacterModel_Emnist_MLP/0721_190738/config.yml46
-rw-r--r--src/training/experiments/CharacterModel_Emnist_MLP/0721_190738/model/best.ptbin0 -> 1702135 bytes
-rw-r--r--src/training/experiments/CharacterModel_Emnist_MLP/0721_190738/model/last.ptbin0 -> 1702135 bytes
-rw-r--r--src/training/experiments/CharacterModel_Emnist_MLP/0721_191111/config.yml46
-rw-r--r--src/training/experiments/CharacterModel_Emnist_MLP/0721_191310/config.yml46
-rw-r--r--src/training/experiments/CharacterModel_Emnist_MLP/0721_191310/model/best.ptbin0 -> 1702135 bytes
-rw-r--r--src/training/experiments/CharacterModel_Emnist_MLP/0721_191310/model/last.ptbin0 -> 1702135 bytes
-rw-r--r--src/training/experiments/CharacterModel_Emnist_MLP/0721_191412/config.yml42
-rw-r--r--src/training/experiments/CharacterModel_Emnist_MLP/0721_191412/model/best.ptbin0 -> 1135058 bytes
-rw-r--r--src/training/experiments/CharacterModel_Emnist_MLP/0721_191412/model/last.ptbin0 -> 1135058 bytes
-rw-r--r--src/training/experiments/CharacterModel_Emnist_MLP/0721_191504/config.yml42
-rw-r--r--src/training/experiments/CharacterModel_Emnist_MLP/0721_191504/model/best.ptbin0 -> 1135058 bytes
-rw-r--r--src/training/experiments/CharacterModel_Emnist_MLP/0721_191504/model/last.ptbin0 -> 1135058 bytes
-rw-r--r--src/training/experiments/CharacterModel_Emnist_MLP/0721_191826/config.yml47
-rw-r--r--src/training/experiments/CharacterModel_Emnist_MLP/0721_191826/model/best.ptbin0 -> 1702135 bytes
-rw-r--r--src/training/experiments/CharacterModel_Emnist_MLP/0721_191826/model/last.ptbin0 -> 1702135 bytes
-rw-r--r--src/training/experiments/CharacterModel_Emnist_MLP/0722_191559/config.yml49
-rw-r--r--src/training/experiments/CharacterModel_Emnist_MLP/0722_191559/model/best.ptbin0 -> 1702233 bytes
-rw-r--r--src/training/experiments/CharacterModel_Emnist_MLP/0722_191559/model/last.ptbin0 -> 1702249 bytes
-rw-r--r--src/training/experiments/CharacterModel_Emnist_MLP/0722_213125/config.yml49
-rw-r--r--src/training/experiments/CharacterModel_Emnist_MLP/0722_213413/config.yml49
-rw-r--r--src/training/experiments/CharacterModel_Emnist_MLP/0722_213413/model/best.ptbin0 -> 1702233 bytes
-rw-r--r--src/training/experiments/CharacterModel_Emnist_MLP/0722_213413/model/last.ptbin0 -> 1702233 bytes
-rw-r--r--src/training/experiments/CharacterModel_Emnist_MLP/0722_213549/config.yml49
-rw-r--r--src/training/experiments/CharacterModel_Emnist_MLP/0722_213549/model/best.ptbin0 -> 1702233 bytes
-rw-r--r--src/training/experiments/CharacterModel_Emnist_MLP/0722_213549/model/last.ptbin0 -> 1702233 bytes
-rw-r--r--src/training/experiments/sample.yml43
-rw-r--r--src/training/experiments/sample_experiment.yml56
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
new file mode 100644
index 0000000..6d78bad
--- /dev/null
+++ b/src/training/experiments/CharacterModel_Emnist_LeNet/0721_231455/model/best.pt
Binary files differ
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
new file mode 100644
index 0000000..6d78bad
--- /dev/null
+++ b/src/training/experiments/CharacterModel_Emnist_LeNet/0721_231455/model/last.pt
Binary files differ
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
new file mode 100644
index 0000000..43a3891
--- /dev/null
+++ b/src/training/experiments/CharacterModel_Emnist_LeNet/0722_190746/model/best.pt
Binary files differ
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
new file mode 100644
index 0000000..61c03f0
--- /dev/null
+++ b/src/training/experiments/CharacterModel_Emnist_LeNet/0722_190746/model/last.pt
Binary files differ
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
new file mode 100644
index 0000000..d0db78b
--- /dev/null
+++ b/src/training/experiments/CharacterModel_Emnist_MLP/0721_141213/model/best.pt
Binary files differ
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
new file mode 100644
index 0000000..d0db78b
--- /dev/null
+++ b/src/training/experiments/CharacterModel_Emnist_MLP/0721_141213/model/last.pt
Binary files differ
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
new file mode 100644
index 0000000..5914c8f
--- /dev/null
+++ b/src/training/experiments/CharacterModel_Emnist_MLP/0721_141433/model/best.pt
Binary files differ
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
new file mode 100644
index 0000000..5ba44bb
--- /dev/null
+++ b/src/training/experiments/CharacterModel_Emnist_MLP/0721_141433/model/last.pt
Binary files differ
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
new file mode 100644
index 0000000..96c21c1
--- /dev/null
+++ b/src/training/experiments/CharacterModel_Emnist_MLP/0721_141702/model/best.pt
Binary files differ
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
new file mode 100644
index 0000000..f024c0d
--- /dev/null
+++ b/src/training/experiments/CharacterModel_Emnist_MLP/0721_141702/model/last.pt
Binary files differ
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
new file mode 100644
index 0000000..f833a89
--- /dev/null
+++ b/src/training/experiments/CharacterModel_Emnist_MLP/0721_151135/model/best.pt
Binary files differ
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
new file mode 100644
index 0000000..f833a89
--- /dev/null
+++ b/src/training/experiments/CharacterModel_Emnist_MLP/0721_151135/model/last.pt
Binary files differ
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
new file mode 100644
index 0000000..cbbc5e1
--- /dev/null
+++ b/src/training/experiments/CharacterModel_Emnist_MLP/0721_153310/model/best.pt
Binary files differ
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
new file mode 100644
index 0000000..cbbc5e1
--- /dev/null
+++ b/src/training/experiments/CharacterModel_Emnist_MLP/0721_153310/model/last.pt
Binary files differ
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
new file mode 100644
index 0000000..c93e3c6
--- /dev/null
+++ b/src/training/experiments/CharacterModel_Emnist_MLP/0721_175150/model/best.pt
Binary files differ
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
new file mode 100644
index 0000000..c93e3c6
--- /dev/null
+++ b/src/training/experiments/CharacterModel_Emnist_MLP/0721_175150/model/last.pt
Binary files differ
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
new file mode 100644
index 0000000..580bad2
--- /dev/null
+++ b/src/training/experiments/CharacterModel_Emnist_MLP/0721_180741/model/best.pt
Binary files differ
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
new file mode 100644
index 0000000..97e245c
--- /dev/null
+++ b/src/training/experiments/CharacterModel_Emnist_MLP/0721_180741/model/last.pt
Binary files differ
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
new file mode 100644
index 0000000..5a3df56
--- /dev/null
+++ b/src/training/experiments/CharacterModel_Emnist_MLP/0721_181933/model/best.pt
Binary files differ
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
new file mode 100644
index 0000000..7f28dc3
--- /dev/null
+++ b/src/training/experiments/CharacterModel_Emnist_MLP/0721_181933/model/last.pt
Binary files differ
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
new file mode 100644
index 0000000..6f09780
--- /dev/null
+++ b/src/training/experiments/CharacterModel_Emnist_MLP/0721_183347/model/best.pt
Binary files differ
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
new file mode 100644
index 0000000..3bb103e
--- /dev/null
+++ b/src/training/experiments/CharacterModel_Emnist_MLP/0721_183347/model/last.pt
Binary files differ
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
new file mode 100644
index 0000000..c3e3618
--- /dev/null
+++ b/src/training/experiments/CharacterModel_Emnist_MLP/0721_190044/model/best.pt
Binary files differ
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
new file mode 100644
index 0000000..c3e3618
--- /dev/null
+++ b/src/training/experiments/CharacterModel_Emnist_MLP/0721_190044/model/last.pt
Binary files differ
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
new file mode 100644
index 0000000..44d9b9b
--- /dev/null
+++ b/src/training/experiments/CharacterModel_Emnist_MLP/0721_190633/model/best.pt
Binary files differ
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
new file mode 100644
index 0000000..44d9b9b
--- /dev/null
+++ b/src/training/experiments/CharacterModel_Emnist_MLP/0721_190633/model/last.pt
Binary files differ
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
new file mode 100644
index 0000000..4a0333c
--- /dev/null
+++ b/src/training/experiments/CharacterModel_Emnist_MLP/0721_190738/model/best.pt
Binary files differ
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
new file mode 100644
index 0000000..4a0333c
--- /dev/null
+++ b/src/training/experiments/CharacterModel_Emnist_MLP/0721_190738/model/last.pt
Binary files differ
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
new file mode 100644
index 0000000..076aae1
--- /dev/null
+++ b/src/training/experiments/CharacterModel_Emnist_MLP/0721_191310/model/best.pt
Binary files differ
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
new file mode 100644
index 0000000..076aae1
--- /dev/null
+++ b/src/training/experiments/CharacterModel_Emnist_MLP/0721_191310/model/last.pt
Binary files differ
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
new file mode 100644
index 0000000..2fb0195
--- /dev/null
+++ b/src/training/experiments/CharacterModel_Emnist_MLP/0721_191412/model/best.pt
Binary files differ
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
new file mode 100644
index 0000000..2fb0195
--- /dev/null
+++ b/src/training/experiments/CharacterModel_Emnist_MLP/0721_191412/model/last.pt
Binary files differ
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
new file mode 100644
index 0000000..9acc5b1
--- /dev/null
+++ b/src/training/experiments/CharacterModel_Emnist_MLP/0721_191504/model/best.pt
Binary files differ
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
new file mode 100644
index 0000000..b8cc01c
--- /dev/null
+++ b/src/training/experiments/CharacterModel_Emnist_MLP/0721_191504/model/last.pt
Binary files differ
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
new file mode 100644
index 0000000..26bfb07
--- /dev/null
+++ b/src/training/experiments/CharacterModel_Emnist_MLP/0721_191826/model/best.pt
Binary files differ
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
new file mode 100644
index 0000000..26bfb07
--- /dev/null
+++ b/src/training/experiments/CharacterModel_Emnist_MLP/0721_191826/model/last.pt
Binary files differ
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
new file mode 100644
index 0000000..f0f297b
--- /dev/null
+++ b/src/training/experiments/CharacterModel_Emnist_MLP/0722_191559/model/best.pt
Binary files differ
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
new file mode 100644
index 0000000..c1adda5
--- /dev/null
+++ b/src/training/experiments/CharacterModel_Emnist_MLP/0722_191559/model/last.pt
Binary files differ
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
new file mode 100644
index 0000000..e985997
--- /dev/null
+++ b/src/training/experiments/CharacterModel_Emnist_MLP/0722_213413/model/best.pt
Binary files differ
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
new file mode 100644
index 0000000..e985997
--- /dev/null
+++ b/src/training/experiments/CharacterModel_Emnist_MLP/0722_213413/model/last.pt
Binary files differ
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
new file mode 100644
index 0000000..0dde787
--- /dev/null
+++ b/src/training/experiments/CharacterModel_Emnist_MLP/0722_213549/model/best.pt
Binary files differ
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
new file mode 100644
index 0000000..e02738b
--- /dev/null
+++ b/src/training/experiments/CharacterModel_Emnist_MLP/0722_213549/model/last.pt
Binary files differ
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