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adding bleu computation for S2tt asr training #1241

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Merged
artemru merged 3 commits into from
Aug 11, 2025
Merged

adding bleu computation for S2tt asr training #1241

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64e419f
adding bleu metric for s2tt
Aug 5, 2025
a4cb0be
rm custom stuff
Aug 11, 2025
ad6e3d4
rm custom stuff
Aug 11, 2025
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11 changes: 10 additions & 1 deletion src/fairseq2/recipes/asr/_common.py
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Original file line number Diff line number Diff line change
Expand Up @@ -16,7 +16,7 @@
from fairseq2.data.text.tokenizers import TextTokenDecoder, TextTokenizer
from fairseq2.gang import Gang
from fairseq2.metrics import Mean
from fairseq2.metrics.text import WerMetric
from fairseq2.metrics.text import BleuMetric, WerMetric
from fairseq2.models.asr import AsrModel, AsrModelOutput
from fairseq2.models.seq2seq import Seq2SeqBatch
from fairseq2.models.sequence import SequenceBatch
Expand Down Expand Up @@ -121,6 +121,8 @@ def __call__(
refs, ref_seqs, ref_padding_mask, hyps, hyp_seqs, hyp_padding_mask
)

metric_bag.bleu.update(refs, hyps)

try:
# Dump references.
stream = self._ref_output_stream
Expand Down Expand Up @@ -148,6 +150,7 @@ def __call__(
class AsrMetricBag(BaseMetricBag):
ctc_loss: Mean
wer: WerMetric
bleu: BleuMetric

def __init__(self, gang: Gang, train: bool = True) -> None:
super().__init__(gang, train=train)
Expand All @@ -158,6 +161,12 @@ def __init__(self, gang: Gang, train: bool = True) -> None:

self.register_metric("wer", WerMetric(device=self.device), persistent=False)

self.register_metric(
"bleu",
BleuMetric(tokenizer="flores200", device=self.device),
persistent=False,
)

@torch.inference_mode()
def update_ctc_loss(self, batch: Seq2SeqBatch, loss: Tensor) -> None:
n = batch.batch_size
Expand Down
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