Olamide Isreal
a3ffec6a07
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52 lines
1.6 KiB
YAML
52 lines
1.6 KiB
YAML
# @package _global_
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# specify here default configuration
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# order of defaults determines the order in which configs override each other
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defaults:
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- _self_
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- data: combined
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- model: flowdock_fm
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- callbacks: default
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- logger: null # set logger here or use command line (e.g. `python train.py logger=tensorboard`)
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- strategy: default
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- trainer: default
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- paths: default
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- extras: default
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- hydra: default
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- environment: default
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# experiment configs allow for version control of specific hyperparameters
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# e.g. best hyperparameters for given model and datamodule
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- experiment: null
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# config for hyperparameter optimization
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- hparams_search: null
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# optional local config for machine/user specific settings
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# it's optional since it doesn't need to exist and is excluded from version control
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- optional local: default
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# debugging config (enable through command line, e.g. `python train.py debug=default)
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- debug: null
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# task name, determines output directory path
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task_name: "train"
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# tags to help you identify your experiments
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# you can overwrite this in experiment configs
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# overwrite from command line with `python train.py tags="[first_tag, second_tag]"`
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tags: ["train", "combined", "flowdock_fm"]
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# set False to skip model training
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train: True
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# evaluate on test set, using best model weights achieved during training
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# lightning chooses best weights based on the metric specified in checkpoint callback
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test: False
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# simply provide checkpoint path to resume training
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ckpt_path: null
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# seed for random number generators in pytorch, numpy and python.random
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seed: null
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