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-rw-r--r--src/training/experiments/sample_experiment.yml70
1 files changed, 0 insertions, 70 deletions
diff --git a/src/training/experiments/sample_experiment.yml b/src/training/experiments/sample_experiment.yml
index 57198f1..355305c 100644
--- a/src/training/experiments/sample_experiment.yml
+++ b/src/training/experiments/sample_experiment.yml
@@ -70,73 +70,3 @@ experiments:
null
verbosity: 2 # 0, 1, 2
resume_experiment: null
- # - dataset: EmnistDataset
- # dataset_args:
- # sample_to_balance: true
- # subsample_fraction: null
- # transform: null
- # target_transform: null
- # seed: 4711
- # data_loader_args:
- # splits: [train, val]
- # batch_size: 256
- # shuffle: true
- # num_workers: 8
- # cuda: true
- # model: CharacterModel
- # metrics: [accuracy]
- # # network: MLP
- # # network_args:
- # # input_size: 784
- # # output_size: 62
- # # num_layers: 3
- # # activation_fn: GELU
- # network: LeNet
- # network_args:
- # output_size: 62
- # activation_fn: GELU
- # train_args:
- # batch_size: 256
- # epochs: 16
- # criterion: CrossEntropyLoss
- # criterion_args:
- # weight: null
- # ignore_index: -100
- # reduction: mean
- # # optimizer: RMSprop
- # # optimizer_args:
- # # lr: 1.e-3
- # # alpha: 0.9
- # # eps: 1.e-7
- # # momentum: 0
- # # weight_decay: 0
- # # centered: false
- # optimizer: AdamW
- # optimizer_args:
- # lr: 1.e-2
- # betas: [0.9, 0.999]
- # eps: 1.e-08
- # weight_decay: 0
- # amsgrad: false
- # # lr_scheduler: null
- # lr_scheduler: OneCycleLR
- # lr_scheduler_args:
- # max_lr: 1.e-3
- # epochs: 16
- # 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: 2 # 0, 1, 2
- # resume_experiment: null