Loading fairseq/criterions/adaptive_loss.py +1 −0 Original line number Diff line number Diff line Loading @@ -74,6 +74,7 @@ class AdaptiveLoss(FairseqCriterion): sample_size = sum(log.get('sample_size', 0) for log in logging_outputs) agg_output = { 'loss': loss_sum / sample_size / math.log(2), 'nll_loss': loss_sum / sample_size / math.log(2), 'ntokens': ntokens, 'nsentences': nsentences, 'sample_size': sample_size, Loading Loading
fairseq/criterions/adaptive_loss.py +1 −0 Original line number Diff line number Diff line Loading @@ -74,6 +74,7 @@ class AdaptiveLoss(FairseqCriterion): sample_size = sum(log.get('sample_size', 0) for log in logging_outputs) agg_output = { 'loss': loss_sum / sample_size / math.log(2), 'nll_loss': loss_sum / sample_size / math.log(2), 'ntokens': ntokens, 'nsentences': nsentences, 'sample_size': sample_size, Loading