google/fleurs
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This is a Japanese automatic speech recognition model trained in the LambdaAudio pipeline. The model combines KeisukeMiyamoto/zipformer-cpt as its encoder with KeisukeMiyamoto/lfm2.5-230m-cpt as its decoder.
The model.ckpt checkpoint achieved 6.05% character error rate (CER) on the Japanese (ja_jp) test subset of Google FLEURS.
LambdaAudio source commit: 28ba788c5891572c71d93d26b5a2fee52a3297bc.
model.ckpt: checkpoint used for the reported evaluation.last.ckpt: latest saved training checkpoint.training_config.json: training configuration.logs/: training metrics.inference_history.csv: inference history from training.