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# @package _global_
defaults:
- override /mapping: emnist
- override /criterion: cross_entropy
- override /callbacks: htr
- override /datamodule: iam_extended_paragraphs
- override /network: conv_transformer
- override /model: lit_transformer
- override /lr_schedulers: null
- override /optimizers: null
epochs: &epochs 200
ignore_index: &ignore_index 3
summary: [[1, 1, 576, 640], [1, 682]]
criterion:
ignore_index: *ignore_index
# label_smoothing: 0.1
callbacks:
stochastic_weight_averaging:
_target_: pytorch_lightning.callbacks.StochasticWeightAveraging
swa_epoch_start: 0.75
swa_lrs: 1.0e-5
annealing_epochs: 10
annealing_strategy: cos
device: null
optimizers:
radam:
_target_: torch.optim.RAdam
lr: 1.5e-4
betas: [0.9, 0.999]
weight_decay: 0
eps: 1.0e-8
parameters: network
lr_schedulers:
network:
_target_: torch.optim.lr_scheduler.ReduceLROnPlateau
mode: min
factor: 0.5
patience: 10
threshold: 1.0e-4
threshold_mode: rel
cooldown: 0
min_lr: 1.0e-6
eps: 1.0e-8
verbose: false
interval: epoch
monitor: val/loss
datamodule:
_target_: text_recognizer.data.iam_extended_paragraphs.IAMExtendedParagraphs
batch_size: 6
num_workers: 12
train_fraction: 0.8
pin_memory: true
<< : *mapping
trainer:
max_epochs: *epochs
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