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-rw-r--r--training/experiments/default_config_emnist.yml70
1 files changed, 0 insertions, 70 deletions
diff --git a/training/experiments/default_config_emnist.yml b/training/experiments/default_config_emnist.yml
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--- a/training/experiments/default_config_emnist.yml
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@@ -1,70 +0,0 @@
-dataset: EmnistDataset
-dataset_args:
- sample_to_balance: true
- subsample_fraction: 0.33
- transform: null
- target_transform: null
- seed: 4711
-
-data_loader_args:
- splits: [train, val]
- shuffle: true
- num_workers: 8
- cuda: true
-
-model: CharacterModel
-metrics: [accuracy]
-
-network_args:
- in_channels: 1
- num_classes: 80
- depths: [2]
- block_sizes: [256]
-
-train_args:
- batch_size: 256
- epochs: 5
-
-criterion: CrossEntropyLoss
-criterion_args:
- weight: null
- ignore_index: -100
- reduction: mean
-
-optimizer: AdamW
-optimizer_args:
- lr: 1.e-03
- betas: [0.9, 0.999]
- eps: 1.e-08
- # weight_decay: 5.e-4
- amsgrad: false
-
-lr_scheduler: OneCycleLR
-lr_scheduler_args:
- max_lr: 1.e-03
- epochs: 5
- anneal_strategy: linear
-
-
-callbacks: [Checkpoint, ProgressBar, EarlyStopping, WandbCallback, WandbImageLogger, OneCycleLR]
-callback_args:
- Checkpoint:
- monitor: val_accuracy
- ProgressBar:
- epochs: 5
- log_batch_frequency: 100
- 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
-train: true
-validation_metric: val_accuracy