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30 lines
850 B
YAML
30 lines
850 B
YAML
_target_: lightning.pytorch.trainer.Trainer
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default_root_dir: ${paths.output_dir}
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min_epochs: 1 # prevents early stopping
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max_epochs: 10
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accelerator: cpu
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devices: 1
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# mixed precision for extra speed-up
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# precision: 16
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# perform a validation loop every N training epochs
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check_val_every_n_epoch: 1
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# set True to to ensure deterministic results
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# makes training slower but gives more reproducibility than just setting seeds
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deterministic: False
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# determine the frequency of how often to reload the dataloaders
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reload_dataloaders_every_n_epochs: 1
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# if `gradient_clip_val` is not `null`, gradients will be norm-clipped during training
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gradient_clip_algorithm: norm
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gradient_clip_val: 1.0
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# if `num_sanity_val_steps` is > 0, then specifically that many validation steps will be run during the first call to `trainer.fit`
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num_sanity_val_steps: 0
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