reformat documentation

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Yinon Polak 2023-03-09 13:01:04 +02:00
parent 6f962362f2
commit c9eee2944b

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@ -55,8 +55,8 @@ class PyTorchModelTrainer:
:param device: The device to use for training (e.g. 'cpu', 'cuda').
:param batch_size: The size of the batches to use during training.
:param max_iters: The number of training iterations to run.
iteration here refers to the number of times we call self.optimizer.step().
used to calculate n_epochs.
iteration here refers to the number of times we call
self.optimizer.step(). used to calculate n_epochs.
:param eval_iters: The number of iterations used to estimate the loss.
:param init_model: A dictionary containing the initial model/optimizer
state_dict and model_meta_data saved by self.save() method.