Source code for oumi.core.trainers.base_trainer

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from abc import ABC, abstractmethod
from typing import Optional

from oumi.core.configs import TrainingConfig


[docs] class BaseTrainer(ABC):
[docs] @abstractmethod def train(self, resume_from_checkpoint: Optional[str]) -> None: """Trains a model."""
[docs] @abstractmethod def save_state(self) -> None: """Saves the Trainer state. Under distributed environment this is done only for a process with rank 0. """
# TODO: Define semantics of this method more clearly. # Can it be merged with save_model()?
[docs] @abstractmethod def save_model(self, config: TrainingConfig, final: bool = True) -> None: """Saves the model's state dictionary to the specified output directory. Args: config (TrainingConfig): The Oumi training config. final (bool): Whether this is the final model being saved during training. Returns: None """
# TODO: Define semantics of this method more clearly.