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logging_gradient_accumulation
observability-logging-gradient-acc-logged-loss-values-during-training-with-gradient-a-6dac7a5b
IFLogged loss values during training with gradient accumulation are inflated because the loss accumulation is not divided by the number of gradient accumulation steps.
THENModify the `_maybe_log_save_evaluate` method in the Trainer to accept the gradient accumulation steps parameter and divide the accumulated loss by that value before logging. Specifically, change the log line to `logs["loss"] = round(tr_loss_scalar / ga_steps / (self.state.global_step - self._globalstep_last_logged), 4)`, and pass `self.args.gradient_accumulation_steps` (or the number of batches processed) from the training loop.
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