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Diffstat (limited to 'src/training/experiments/default_config_emnist.yml')
-rw-r--r-- | src/training/experiments/default_config_emnist.yml | 70 |
1 files changed, 0 insertions, 70 deletions
diff --git a/src/training/experiments/default_config_emnist.yml b/src/training/experiments/default_config_emnist.yml deleted file mode 100644 index bf2ed0a..0000000 --- a/src/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 |