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upload the decoding results of rnn-lm to the RESULTS
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@ -10,7 +10,8 @@ per-file-ignores =
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egs/*/ASR/*/optim.py: E501,
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egs/*/ASR/*/scaling.py: E501,
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egs/librispeech/ASR/conv_emformer_transducer_stateless*/*.py: E501, E203,
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egs/librispeech/ASR/conformer_ctc2/*py: E501
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egs/librispeech/ASR/conformer_ctc2/*py: E501,
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egs/librispeech/ASR/RESULTS.md: E999,
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# invalid escape sequence (cause by tex formular), W605
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icefall/utils.py: E501, W605
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@ -1,6 +1,6 @@
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## Results
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### LibriSpeech BPE training results (Pruned Stateless Conv-Emformer RNN-T 2)
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#### LibriSpeech BPE training results (Pruned Stateless Conv-Emformer RNN-T 2)
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[conv_emformer_transducer_stateless2](./conv_emformer_transducer_stateless2)
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@ -1998,10 +1998,9 @@ avg=11
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You can find the tensorboard log at: <https://tensorboard.dev/experiment/D7NQc3xqTpyVmWi5FnWjrA>
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### LibriSpeech BPE training results (Conformer-CTC 2)
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[conformer_ctc2](./conformer_ctc2)
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#### [conformer_ctc2](./conformer_ctc2)
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#### 2022-07-21
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