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Diffstat (limited to 'src/training/experiments/CharacterModel_Emnist_MLP/0722_213549')
-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
3 files changed, 49 insertions, 0 deletions
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
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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
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