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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.ptbin14483400 -> 0 bytes
-rw-r--r--src/training/experiments/CharacterModel_Emnist_LeNet/0721_231455/model/last.ptbin14483400 -> 0 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.ptbin14483400 -> 0 bytes
-rw-r--r--src/training/experiments/CharacterModel_Emnist_LeNet/0722_190746/model/last.ptbin14483400 -> 0 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.ptbin1901268 -> 0 bytes
-rw-r--r--src/training/experiments/CharacterModel_Emnist_MLP/0721_141213/model/last.ptbin1901268 -> 0 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.ptbin1901268 -> 0 bytes
-rw-r--r--src/training/experiments/CharacterModel_Emnist_MLP/0721_141433/model/last.ptbin1901268 -> 0 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.ptbin1901268 -> 0 bytes
-rw-r--r--src/training/experiments/CharacterModel_Emnist_MLP/0721_141702/model/last.ptbin1901268 -> 0 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.ptbin1901268 -> 0 bytes
-rw-r--r--src/training/experiments/CharacterModel_Emnist_MLP/0721_151135/model/last.ptbin1901268 -> 0 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.ptbin1702142 -> 0 bytes
-rw-r--r--src/training/experiments/CharacterModel_Emnist_MLP/0721_153310/model/last.ptbin1702142 -> 0 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.ptbin1702142 -> 0 bytes
-rw-r--r--src/training/experiments/CharacterModel_Emnist_MLP/0721_175150/model/last.ptbin1702142 -> 0 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.ptbin1702142 -> 0 bytes
-rw-r--r--src/training/experiments/CharacterModel_Emnist_MLP/0721_180741/model/last.ptbin1702142 -> 0 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.ptbin1702114 -> 0 bytes
-rw-r--r--src/training/experiments/CharacterModel_Emnist_MLP/0721_181933/model/last.ptbin1702114 -> 0 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.ptbin1702114 -> 0 bytes
-rw-r--r--src/training/experiments/CharacterModel_Emnist_MLP/0721_183347/model/last.ptbin1702114 -> 0 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.ptbin1702135 -> 0 bytes
-rw-r--r--src/training/experiments/CharacterModel_Emnist_MLP/0721_190044/model/last.ptbin1702135 -> 0 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.ptbin1702135 -> 0 bytes
-rw-r--r--src/training/experiments/CharacterModel_Emnist_MLP/0721_190633/model/last.ptbin1702135 -> 0 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.ptbin1702135 -> 0 bytes
-rw-r--r--src/training/experiments/CharacterModel_Emnist_MLP/0721_190738/model/last.ptbin1702135 -> 0 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.ptbin1702135 -> 0 bytes
-rw-r--r--src/training/experiments/CharacterModel_Emnist_MLP/0721_191310/model/last.ptbin1702135 -> 0 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.ptbin1135058 -> 0 bytes
-rw-r--r--src/training/experiments/CharacterModel_Emnist_MLP/0721_191412/model/last.ptbin1135058 -> 0 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.ptbin1135058 -> 0 bytes
-rw-r--r--src/training/experiments/CharacterModel_Emnist_MLP/0721_191504/model/last.ptbin1135058 -> 0 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.ptbin1702135 -> 0 bytes
-rw-r--r--src/training/experiments/CharacterModel_Emnist_MLP/0721_191826/model/last.ptbin1702135 -> 0 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.ptbin1702233 -> 0 bytes
-rw-r--r--src/training/experiments/CharacterModel_Emnist_MLP/0722_191559/model/last.ptbin1702249 -> 0 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.ptbin1702233 -> 0 bytes
-rw-r--r--src/training/experiments/CharacterModel_Emnist_MLP/0722_213413/model/last.ptbin1702233 -> 0 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.ptbin1702233 -> 0 bytes
-rw-r--r--src/training/experiments/CharacterModel_Emnist_MLP/0722_213549/model/last.ptbin1702233 -> 0 bytes
-rw-r--r--src/training/experiments/sample.yml43
-rw-r--r--src/training/experiments/sample_experiment.yml34
76 files changed, 24 insertions, 1546 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
deleted file mode 100644
index 2595325..0000000
--- a/src/training/experiments/CharacterModel_Emnist_LeNet/0721_231455/config.yml
+++ /dev/null
@@ -1,48 +0,0 @@
-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
deleted file mode 100644
index 6d78bad..0000000
--- a/src/training/experiments/CharacterModel_Emnist_LeNet/0721_231455/model/best.pt
+++ /dev/null
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
deleted file mode 100644
index 6d78bad..0000000
--- a/src/training/experiments/CharacterModel_Emnist_LeNet/0721_231455/model/last.pt
+++ /dev/null
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
deleted file mode 100644
index 2595325..0000000
--- a/src/training/experiments/CharacterModel_Emnist_LeNet/0722_190746/config.yml
+++ /dev/null
@@ -1,48 +0,0 @@
-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
deleted file mode 100644
index 43a3891..0000000
--- a/src/training/experiments/CharacterModel_Emnist_LeNet/0722_190746/model/best.pt
+++ /dev/null
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
deleted file mode 100644
index 61c03f0..0000000
--- a/src/training/experiments/CharacterModel_Emnist_LeNet/0722_190746/model/last.pt
+++ /dev/null
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
deleted file mode 100644
index 2aa52cd..0000000
--- a/src/training/experiments/CharacterModel_Emnist_MLP/0721_124928/config.yml
+++ /dev/null
@@ -1,43 +0,0 @@
-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
deleted file mode 100644
index 829297d..0000000
--- a/src/training/experiments/CharacterModel_Emnist_MLP/0721_141139/config.yml
+++ /dev/null
@@ -1,47 +0,0 @@
-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
deleted file mode 100644
index 829297d..0000000
--- a/src/training/experiments/CharacterModel_Emnist_MLP/0721_141213/config.yml
+++ /dev/null
@@ -1,47 +0,0 @@
-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
deleted file mode 100644
index d0db78b..0000000
--- a/src/training/experiments/CharacterModel_Emnist_MLP/0721_141213/model/best.pt
+++ /dev/null
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
deleted file mode 100644
index d0db78b..0000000
--- a/src/training/experiments/CharacterModel_Emnist_MLP/0721_141213/model/last.pt
+++ /dev/null
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
deleted file mode 100644
index 3df32bb..0000000
--- a/src/training/experiments/CharacterModel_Emnist_MLP/0721_141433/config.yml
+++ /dev/null
@@ -1,47 +0,0 @@
-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
deleted file mode 100644
index 5914c8f..0000000
--- a/src/training/experiments/CharacterModel_Emnist_MLP/0721_141433/model/best.pt
+++ /dev/null
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
deleted file mode 100644
index 5ba44bb..0000000
--- a/src/training/experiments/CharacterModel_Emnist_MLP/0721_141433/model/last.pt
+++ /dev/null
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
deleted file mode 100644
index fb75736..0000000
--- a/src/training/experiments/CharacterModel_Emnist_MLP/0721_141702/config.yml
+++ /dev/null
@@ -1,47 +0,0 @@
-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
deleted file mode 100644
index 96c21c1..0000000
--- a/src/training/experiments/CharacterModel_Emnist_MLP/0721_141702/model/best.pt
+++ /dev/null
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
deleted file mode 100644
index f024c0d..0000000
--- a/src/training/experiments/CharacterModel_Emnist_MLP/0721_141702/model/last.pt
+++ /dev/null
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
deleted file mode 100644
index fb75736..0000000
--- a/src/training/experiments/CharacterModel_Emnist_MLP/0721_145028/config.yml
+++ /dev/null
@@ -1,47 +0,0 @@
-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
deleted file mode 100644
index fb75736..0000000
--- a/src/training/experiments/CharacterModel_Emnist_MLP/0721_150212/config.yml
+++ /dev/null
@@ -1,47 +0,0 @@
-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
deleted file mode 100644
index fb75736..0000000
--- a/src/training/experiments/CharacterModel_Emnist_MLP/0721_150301/config.yml
+++ /dev/null
@@ -1,47 +0,0 @@
-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
deleted file mode 100644
index fb75736..0000000
--- a/src/training/experiments/CharacterModel_Emnist_MLP/0721_150317/config.yml
+++ /dev/null
@@ -1,47 +0,0 @@
-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
deleted file mode 100644
index fb75736..0000000
--- a/src/training/experiments/CharacterModel_Emnist_MLP/0721_151135/config.yml
+++ /dev/null
@@ -1,47 +0,0 @@
-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
deleted file mode 100644
index f833a89..0000000
--- a/src/training/experiments/CharacterModel_Emnist_MLP/0721_151135/model/best.pt
+++ /dev/null
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
deleted file mode 100644
index f833a89..0000000
--- a/src/training/experiments/CharacterModel_Emnist_MLP/0721_151135/model/last.pt
+++ /dev/null
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
deleted file mode 100644
index fb75736..0000000
--- a/src/training/experiments/CharacterModel_Emnist_MLP/0721_151408/config.yml
+++ /dev/null
@@ -1,47 +0,0 @@
-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
deleted file mode 100644
index 829297d..0000000
--- a/src/training/experiments/CharacterModel_Emnist_MLP/0721_153144/config.yml
+++ /dev/null
@@ -1,47 +0,0 @@
-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
deleted file mode 100644
index fb75736..0000000
--- a/src/training/experiments/CharacterModel_Emnist_MLP/0721_153207/config.yml
+++ /dev/null
@@ -1,47 +0,0 @@
-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
deleted file mode 100644
index fb75736..0000000
--- a/src/training/experiments/CharacterModel_Emnist_MLP/0721_153310/config.yml
+++ /dev/null
@@ -1,47 +0,0 @@
-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
deleted file mode 100644
index cbbc5e1..0000000
--- a/src/training/experiments/CharacterModel_Emnist_MLP/0721_153310/model/best.pt
+++ /dev/null
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
deleted file mode 100644
index cbbc5e1..0000000
--- a/src/training/experiments/CharacterModel_Emnist_MLP/0721_153310/model/last.pt
+++ /dev/null
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
deleted file mode 100644
index fb75736..0000000
--- a/src/training/experiments/CharacterModel_Emnist_MLP/0721_175150/config.yml
+++ /dev/null
@@ -1,47 +0,0 @@
-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
deleted file mode 100644
index c93e3c6..0000000
--- a/src/training/experiments/CharacterModel_Emnist_MLP/0721_175150/model/best.pt
+++ /dev/null
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
deleted file mode 100644
index c93e3c6..0000000
--- a/src/training/experiments/CharacterModel_Emnist_MLP/0721_175150/model/last.pt
+++ /dev/null
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
deleted file mode 100644
index 1be5113..0000000
--- a/src/training/experiments/CharacterModel_Emnist_MLP/0721_180741/config.yml
+++ /dev/null
@@ -1,47 +0,0 @@
-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
deleted file mode 100644
index 580bad2..0000000
--- a/src/training/experiments/CharacterModel_Emnist_MLP/0721_180741/model/best.pt
+++ /dev/null
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
deleted file mode 100644
index 97e245c..0000000
--- a/src/training/experiments/CharacterModel_Emnist_MLP/0721_180741/model/last.pt
+++ /dev/null
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
deleted file mode 100644
index d2f98a2..0000000
--- a/src/training/experiments/CharacterModel_Emnist_MLP/0721_181933/config.yml
+++ /dev/null
@@ -1,46 +0,0 @@
-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
deleted file mode 100644
index 5a3df56..0000000
--- a/src/training/experiments/CharacterModel_Emnist_MLP/0721_181933/model/best.pt
+++ /dev/null
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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
deleted file mode 100644
index 7f28dc3..0000000
--- a/src/training/experiments/CharacterModel_Emnist_MLP/0721_181933/model/last.pt
+++ /dev/null
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
deleted file mode 100644
index d2f98a2..0000000
--- a/src/training/experiments/CharacterModel_Emnist_MLP/0721_183347/config.yml
+++ /dev/null
@@ -1,46 +0,0 @@
-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
deleted file mode 100644
index 6f09780..0000000
--- a/src/training/experiments/CharacterModel_Emnist_MLP/0721_183347/model/best.pt
+++ /dev/null
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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
deleted file mode 100644
index 3bb103e..0000000
--- a/src/training/experiments/CharacterModel_Emnist_MLP/0721_183347/model/last.pt
+++ /dev/null
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diff --git a/src/training/experiments/CharacterModel_Emnist_MLP/0721_190044/config.yml b/src/training/experiments/CharacterModel_Emnist_MLP/0721_190044/config.yml
deleted file mode 100644
index a7c66c5..0000000
--- a/src/training/experiments/CharacterModel_Emnist_MLP/0721_190044/config.yml
+++ /dev/null
@@ -1,46 +0,0 @@
-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
deleted file mode 100644
index c3e3618..0000000
--- a/src/training/experiments/CharacterModel_Emnist_MLP/0721_190044/model/best.pt
+++ /dev/null
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
deleted file mode 100644
index c3e3618..0000000
--- a/src/training/experiments/CharacterModel_Emnist_MLP/0721_190044/model/last.pt
+++ /dev/null
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
deleted file mode 100644
index a7c66c5..0000000
--- a/src/training/experiments/CharacterModel_Emnist_MLP/0721_190633/config.yml
+++ /dev/null
@@ -1,46 +0,0 @@
-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
deleted file mode 100644
index 44d9b9b..0000000
--- a/src/training/experiments/CharacterModel_Emnist_MLP/0721_190633/model/best.pt
+++ /dev/null
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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
deleted file mode 100644
index 44d9b9b..0000000
--- a/src/training/experiments/CharacterModel_Emnist_MLP/0721_190633/model/last.pt
+++ /dev/null
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
deleted file mode 100644
index a7c66c5..0000000
--- a/src/training/experiments/CharacterModel_Emnist_MLP/0721_190738/config.yml
+++ /dev/null
@@ -1,46 +0,0 @@
-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
deleted file mode 100644
index 4a0333c..0000000
--- a/src/training/experiments/CharacterModel_Emnist_MLP/0721_190738/model/best.pt
+++ /dev/null
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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
deleted file mode 100644
index 4a0333c..0000000
--- a/src/training/experiments/CharacterModel_Emnist_MLP/0721_190738/model/last.pt
+++ /dev/null
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
deleted file mode 100644
index a7c66c5..0000000
--- a/src/training/experiments/CharacterModel_Emnist_MLP/0721_191111/config.yml
+++ /dev/null
@@ -1,46 +0,0 @@
-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
deleted file mode 100644
index 08c344c..0000000
--- a/src/training/experiments/CharacterModel_Emnist_MLP/0721_191310/config.yml
+++ /dev/null
@@ -1,46 +0,0 @@
-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
deleted file mode 100644
index 076aae1..0000000
--- a/src/training/experiments/CharacterModel_Emnist_MLP/0721_191310/model/best.pt
+++ /dev/null
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
deleted file mode 100644
index 076aae1..0000000
--- a/src/training/experiments/CharacterModel_Emnist_MLP/0721_191310/model/last.pt
+++ /dev/null
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diff --git a/src/training/experiments/CharacterModel_Emnist_MLP/0721_191412/config.yml b/src/training/experiments/CharacterModel_Emnist_MLP/0721_191412/config.yml
deleted file mode 100644
index 0b9b10e..0000000
--- a/src/training/experiments/CharacterModel_Emnist_MLP/0721_191412/config.yml
+++ /dev/null
@@ -1,42 +0,0 @@
-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
deleted file mode 100644
index 2fb0195..0000000
--- a/src/training/experiments/CharacterModel_Emnist_MLP/0721_191412/model/best.pt
+++ /dev/null
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
deleted file mode 100644
index 2fb0195..0000000
--- a/src/training/experiments/CharacterModel_Emnist_MLP/0721_191412/model/last.pt
+++ /dev/null
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diff --git a/src/training/experiments/CharacterModel_Emnist_MLP/0721_191504/config.yml b/src/training/experiments/CharacterModel_Emnist_MLP/0721_191504/config.yml
deleted file mode 100644
index 93c2854..0000000
--- a/src/training/experiments/CharacterModel_Emnist_MLP/0721_191504/config.yml
+++ /dev/null
@@ -1,42 +0,0 @@
-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
deleted file mode 100644
index 9acc5b1..0000000
--- a/src/training/experiments/CharacterModel_Emnist_MLP/0721_191504/model/best.pt
+++ /dev/null
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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
deleted file mode 100644
index b8cc01c..0000000
--- a/src/training/experiments/CharacterModel_Emnist_MLP/0721_191504/model/last.pt
+++ /dev/null
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diff --git a/src/training/experiments/CharacterModel_Emnist_MLP/0721_191826/config.yml b/src/training/experiments/CharacterModel_Emnist_MLP/0721_191826/config.yml
deleted file mode 100644
index 7340941..0000000
--- a/src/training/experiments/CharacterModel_Emnist_MLP/0721_191826/config.yml
+++ /dev/null
@@ -1,47 +0,0 @@
-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
deleted file mode 100644
index 26bfb07..0000000
--- a/src/training/experiments/CharacterModel_Emnist_MLP/0721_191826/model/best.pt
+++ /dev/null
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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
deleted file mode 100644
index 26bfb07..0000000
--- a/src/training/experiments/CharacterModel_Emnist_MLP/0721_191826/model/last.pt
+++ /dev/null
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diff --git a/src/training/experiments/CharacterModel_Emnist_MLP/0722_191559/config.yml b/src/training/experiments/CharacterModel_Emnist_MLP/0722_191559/config.yml
deleted file mode 100644
index 90f0e13..0000000
--- a/src/training/experiments/CharacterModel_Emnist_MLP/0722_191559/config.yml
+++ /dev/null
@@ -1,49 +0,0 @@
-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
deleted file mode 100644
index f0f297b..0000000
--- a/src/training/experiments/CharacterModel_Emnist_MLP/0722_191559/model/best.pt
+++ /dev/null
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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
deleted file mode 100644
index c1adda5..0000000
--- a/src/training/experiments/CharacterModel_Emnist_MLP/0722_191559/model/last.pt
+++ /dev/null
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diff --git a/src/training/experiments/CharacterModel_Emnist_MLP/0722_213125/config.yml b/src/training/experiments/CharacterModel_Emnist_MLP/0722_213125/config.yml
deleted file mode 100644
index 8d77de5..0000000
--- a/src/training/experiments/CharacterModel_Emnist_MLP/0722_213125/config.yml
+++ /dev/null
@@ -1,49 +0,0 @@
-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
deleted file mode 100644
index 8d77de5..0000000
--- a/src/training/experiments/CharacterModel_Emnist_MLP/0722_213413/config.yml
+++ /dev/null
@@ -1,49 +0,0 @@
-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
deleted file mode 100644
index e985997..0000000
--- a/src/training/experiments/CharacterModel_Emnist_MLP/0722_213413/model/best.pt
+++ /dev/null
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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
deleted file mode 100644
index e985997..0000000
--- a/src/training/experiments/CharacterModel_Emnist_MLP/0722_213413/model/last.pt
+++ /dev/null
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diff --git a/src/training/experiments/CharacterModel_Emnist_MLP/0722_213549/config.yml b/src/training/experiments/CharacterModel_Emnist_MLP/0722_213549/config.yml
deleted file mode 100644
index 8d77de5..0000000
--- a/src/training/experiments/CharacterModel_Emnist_MLP/0722_213549/config.yml
+++ /dev/null
@@ -1,49 +0,0 @@
-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
deleted file mode 100644
index 0dde787..0000000
--- a/src/training/experiments/CharacterModel_Emnist_MLP/0722_213549/model/best.pt
+++ /dev/null
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
deleted file mode 100644
index e02738b..0000000
--- a/src/training/experiments/CharacterModel_Emnist_MLP/0722_213549/model/last.pt
+++ /dev/null
Binary files differ
diff --git a/src/training/experiments/sample.yml b/src/training/experiments/sample.yml
deleted file mode 100644
index 0ed560d..0000000
--- a/src/training/experiments/sample.yml
+++ /dev/null
@@ -1,43 +0,0 @@
-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
index e8d5023..70edb63 100644
--- a/src/training/experiments/sample_experiment.yml
+++ b/src/training/experiments/sample_experiment.yml
@@ -1,6 +1,6 @@
experiment_group: Sample Experiments
experiments:
- - dataloader: EmnistDataLoader
+ - dataloader: EmnistDataLoaders
data_loader_args:
splits: [train, val]
sample_to_balance: true
@@ -14,19 +14,18 @@ experiments:
seed: 4711
model: CharacterModel
metrics: [accuracy]
- network: MLP
- network_args:
- input_size: 784
- output_size: 62
- num_layers: 3
- # network: LeNet
+ # network: MLP
# network_args:
- # input_size: [28, 28]
+ # 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
@@ -52,5 +51,20 @@ experiments:
lr_scheduler_args:
max_lr: 1.e-3
epochs: 16
- verbosity: 2 # 0, 1, 2
+ callbacks: [Checkpoint, EarlyStopping, WandbCallback, WandbImageLogger, OneCycleLR]
+ callback_args:
+ Checkpoint:
+ monitor: val_accuracy
+ EarlyStopping:
+ monitor: val_loss
+ min_delta: 0.0
+ patience: 3
+ mode: min
+ WandbCallback:
+ log_batch_frequency: 10
+ WandbImageLogger:
+ num_examples: 4
+ OneCycleLR:
+ null
+ verbosity: 1 # 0, 1, 2
resume_experiment: null