   This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on the MOZILLA-FOUNDATION/COMMON_VOICE_8_0 - JA dataset.  Kanji are converted into Hiragana using the [pykakasi](https://pykakasi.readthedocs.io/en/latest/index.html) library during training and evaluation. The model can output both Hiragana and Katakana characters. Since there is no spacing, WER is not a suitable metric for evaluating performance and CER is more suitable.  On mozilla-foundation/common_voice_8_0 it achieved: - cer: 23.64%  On speech-recognition-community-v2/dev_data it achieved: - cer: 30.99%  It achieves the following results on the evaluation set: - Loss: 0.5212 - Wer: 1.3068  