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SadeghK/stt_nemo_fastconformer_transducer_hybrid_cache_aware_streaming
stt_nemo_fastconformer_transducer_hybrid_cache_aware_streaming is a machine learning model from SadeghK. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for nemo. The card lists the license as apache-2.0.
Here is the WER convergence for both CTC and Transducer.
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From the Hugging Face model README
Here is the WER convergence for both CTC and Transducer.

1040ms lookahead settings
Training without tarred and bucketing. Training in different stages, first with some higher LR values, and later decrease in plateues.
WER: 2.16% CTC WER: 3.22%