Closed AlexandderGorodetski closed 1 year ago
current_loss
is the loss of the current batch, which is computed by
https://github.com/k2-fsa/icefall/blob/6693d907d3ddd5c5eade144b55a57c8831d6d9b2/egs/librispeech/ASR/pruned_transducer_stateless7/train.py#L685
current_pruned_loss
is the pruned loss of the current batch.
current_simple_loss
is the simple loss of the current batch.
The above two losses are computed by
https://github.com/k2-fsa/icefall/blob/6693d907d3ddd5c5eade144b55a57c8831d6d9b2/egs/librispeech/ASR/pruned_transducer_stateless7/train.py#L662
tot_loss
is the total loss averaged over all batches that have seen so far (with some smoothing).
Hello guys,
I have a question regarding tedlium3 recipe tensorboard.
What are meanings of the following values:
current_loss current_pruned_loss current_simple_loss tot_loss
Thanks very much, AlexG.