team-lucid

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hubert-base-korean

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lucid 16

Sorry for the late confirmation
Currently, the model card has been updated, so please check it.

I will close the issue

thanks for reply.

could you explain more about which dataset is used for training kmeans model for second training?
like in hubert paper, authors used subset of librispeech

Similarly, we randomly sampled 100 hours from the combination of datasets we used and used them to train the kmeans model.

@hyunwoo3235 thanks for sharing, what was final loss and top-k accuracy of training? for both base and large model

The final losses for the base and large models were 1.995 and 2.25, respectively.
unfortunately, the model was not tested as it was trained as a validation for another project. therefore, there are no other performance metrics.

thanks!