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dohe0342 2022-12-10 15:25:58 +09:00
parent 98be3eb134
commit 62560a861b
2 changed files with 3 additions and 2 deletions
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egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/.train.py.swp
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egs/librispeech/ASR/pruned_transducer_stateless_d2v_v2/train.py
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@ -1105,10 +1105,10 @@ def train_one_epoch(
)
if wb is not None and rank == 0:
wb.log({"train/loss": loss_info["loss"]*numel})
wb.log({"train/simple_loss": loss_info["simple_loss"]*numel})
wb.log({"train/pruned_loss": loss_info["pruned_loss"]*numel})
wb.log({"train/loss": loss_info["loss"]*numel})
wb.log({"train/ctc_loss": loss_info["ctc_loss"]*numel})
#if batch_idx % params.valid_interval == 0 and not params.print_diagnostics:
logging.info("Computing validation loss")
@ -1134,6 +1134,7 @@ def train_one_epoch(
wb.log({"valid/simple_loss": valid_info["simple_loss"]*numel})
wb.log({"valid/pruned_loss": valid_info["pruned_loss"]*numel})
wb.log({"valid/loss": valid_info["loss"]*numel})
wb.log({"valid/ctc_loss": valid_info["ctc_loss"]*numel})
loss_value = tot_loss["loss"] / tot_loss["utterances"]
params.train_loss = loss_value