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37 lines
1.2 KiB
Python
37 lines
1.2 KiB
Python
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"""Optimization configurations for models."""
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import typing
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import tml.core.config as base_config
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import tml.optimizers.config as optimizers_config_mod
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import pydantic
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class RecapAdamConfig(base_config.BaseConfig):
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beta_1: float = 0.9 # Momentum term.
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beta_2: float = 0.999 # Exponential weighted decay factor.
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epsilon: float = 1e-7 # Numerical stability in denominator.
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class MultiTaskLearningRates(base_config.BaseConfig):
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tower_learning_rates: typing.Dict[str, optimizers_config_mod.LearningRate] = pydantic.Field(
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description="Learning rates for different towers of the model."
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)
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backbone_learning_rate: optimizers_config_mod.LearningRate = pydantic.Field(
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None, description="Learning rate for backbone of the model."
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)
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class RecapOptimizerConfig(base_config.BaseConfig):
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multi_task_learning_rates: MultiTaskLearningRates = pydantic.Field(
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None, description="Multiple learning rates for different tasks.", one_of="lr"
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)
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single_task_learning_rate: optimizers_config_mod.LearningRate = pydantic.Field(
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None, description="Single task learning rates", one_of="lr"
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)
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adam: RecapAdamConfig = pydantic.Field(one_of="optimizer")
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