"How many epochs are in the training process?
A general rule of thumb is: Num epochs = max_steps / file_of_training_jsonls_in_MB. For instance, if your training file is 100MB and you set max_steps=1000, the training process will roughly perform 10 epochs."
Large 2
The statement you provided is attempting to describe a general method for determining the number of epochs in a training process based on the size of the training file and the number of training steps. However, the formula provided is a bit unclear and seems to misinterpret the relationship between the number of epochs and the other parameters.
A more accurate and clear way to express this relationship would be:
Epochs: Represents the number of times the entire training dataset is passed through the neural network.
Steps: Represents the number of times the model updates its weights during training.
In summary, the initial statement is confusing because it tries to relate epochs directly to the file size in megabytes, which is not a standard or typical way to determine the number of epochs. The size of the file in MB is not directly related to the number of training samples or the number of epochs. Instead, consider the total number of samples and the batch size to determine the number of epochs more accurately.