1 files changed, 0 insertions, 99 deletions
diff --git a/src/training/experiments/sample_experiment.yml b/src/training/experiments/sample_experiment.yml
deleted file mode 100644
index 8f94475..0000000
--- a/src/training/experiments/sample_experiment.yml
+++ /dev/null
@@ -1,99 +0,0 @@
-experiment_group: Sample Experiments
-experiments:
-    - train_args:
-        batch_size: 256
-        max_epochs: &max_epochs 32
-      dataset:
-        type: EmnistDataset
-        args:
-          sample_to_balance: true
-          subsample_fraction: null
-          transform: null
-          target_transform: null
-          seed: 4711
-        train_args:
-          num_workers: 6
-          train_fraction: 0.8
-
-      model: CharacterModel
-      metrics: [accuracy]
-      # network: MLP
-      # network_args:
-      #   input_size: 784
-      #   hidden_size: 512
-      #   output_size: 80
-      #   num_layers: 5
-      #   dropout_rate: 0.2
-      #   activation_fn: SELU
-      network:
-        type: ResidualNetwork
-        args:
-          in_channels: 1
-          num_classes: 80
-          depths: [2, 2]
-          block_sizes: [64, 64]
-          activation: leaky_relu
-      # network:
-      #   type: WideResidualNetwork
-      #   args:
-      #     in_channels: 1
-      #     num_classes: 80
-      #     depth: 10
-      #     num_layers: 3
-      #     width_factor: 4
-      #     dropout_rate: 0.2
-      #     activation: SELU
-      # network: LeNet
-      # network_args:
-      #   output_size: 62
-      #   activation_fn: GELU
-      criterion:
-        type: CrossEntropyLoss
-        args:
-          weight: null
-          ignore_index: -100
-          reduction: mean
-      optimizer:
-        type: AdamW
-        args:
-          lr: 1.e-02
-          betas: [0.9, 0.999]
-          eps: 1.e-08
-          # weight_decay: 5.e-4
-          amsgrad: false
-      # lr_scheduler:
-      #   type: OneCycleLR
-      #   args:
-      #     max_lr: 1.e-03
-      #     epochs: *max_epochs
-      #     anneal_strategy: linear
-      lr_scheduler:
-        type: CosineAnnealingLR
-        args:
-          T_max: *max_epochs
-          interval: epoch
-      swa_args:
-        start: 2
-        lr: 5.e-2
-      callbacks: [Checkpoint, ProgressBar, WandbCallback, WandbImageLogger, EarlyStopping]
-      callback_args:
-        Checkpoint:
-          monitor: val_accuracy
-        ProgressBar:
-          epochs: null
-          log_batch_frequency: 100
-        EarlyStopping:
-          monitor: val_loss
-          min_delta: 0.0
-          patience: 5
-          mode: min
-        WandbCallback:
-          log_batch_frequency: 10
-        WandbImageLogger:
-          num_examples: 4
-          use_transpose: true
-      verbosity: 0 # 0, 1, 2
-      resume_experiment: null
-      train: true
-      test: true
-      test_metric: test_accuracy