Understanding Training Loss in Mini-Batch Training
SMRTR summary
In mini-batch training with PyTorch, the training loss reported per epoch is not the total error across all samples. Instead, it is the average of individual batch losses. This matters because understanding how loss is calculated helps developers correctly interpret model performance during training.
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