Add new training loop with PyTorch Lightning, remove stale files

1 files changed, 0 insertions, 70 deletions

diff --git a/training/experiments/default_config_emnist.yml b/training/experiments/default_config_emnist.yml
deleted file mode 100644
index bf2ed0a..0000000
--- a/training/experiments/default_config_emnist.yml
+++ /dev/null
@@ -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