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我正在使用以下命令开始训练 deepspeech 模型

%cd /content/DeepSpeech
!python3 DeepSpeech.py \
--drop_source_layers 2 --scorer /content/DeepSpeech/data/lm/kenlm-nigerian.scorer\
 --train_cudnn True --early_stop True --es_epochs 6 --n_hidden 2048 --epochs 5 \
  --export_dir /content/models/ --checkpoint_dir /content/model_checkpoints/ \
  --train_files /content/train.csv --dev_files /content/dev.csv --test_files /content/test.csv \
  --learning_rate 0.0001 --train_batch_size 64 --test_batch_size 32 --dev_batch_size 32 --export_file_name 'he_model_5' \
  --max_to_keep 3

我一次又一次地收到以下错误。

(0) Invalid argument: Not enough time for target transition sequence (required: 28, available: 24)0You can turn this error into a warning by using the flag ignore_longer_outputs_than_inputs
(1) Invalid argument: Not enough time for target transition sequence (required: 28, available: 24)0You can turn this error into a warning by using the flag ignore_longer_outputs_than_inputs
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1 回答 1

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以下为我工作

去

DeepSpeech/training/deepspeech_training/train.py

现在寻找以下特定线路（通常在 240-250 中）

total_loss = tfv1.nn.ctc_loss(labels=batch_y, inputs=logits, sequence_length=batch_seq_len)

改成如下

total_loss = tfv1.nn.ctc_loss(labels=batch_y, inputs=logits, sequence_length=batch_seq_len, )
于 2021-09-25T18:12:10.417 回答