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# @package _global_
defaults:
- callbacks: wandb_htr
- criterion: label_smoothing
- datamodule: iam_extended_paragraphs
- hydra: default
- logger: wandb
- lr_schedulers:
- cosine_annealing
- mapping: characters # word_piece
- model: lit_transformer
- network: conv_transformer
- optimizers:
- madgrad
- trainer: default
seed: 4711
tune: false
train: true
test: true
logging: INFO
# datamodule:
# word_pieces: false
# model:
# max_output_len: 682
# path to original working directory
# hydra hijacks working directory by changing it to the current log directory,
# so it's useful to have this path as a special variable
# learn more here: https://hydra.cc/docs/next/tutorials/basic/running_your_app/working_directory
work_dir: ${hydra:runtime.cwd}
# use `python run.py debug=true` for easy debugging!
# this will run 1 train, val and test loop with only 1 batch
# equivalent to running `python run.py trainer.fast_dev_run=true`
# (this is placed here just for easier access from command line)
debug: False
# pretty print config at the start of the run using Rich library
print_config: false
# disable python warnings if they annoy you
ignore_warnings: true
summary: null # [1, 576, 640]
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