[Question]how to do finetuning ? how to change the train_ds file according to your data ?

[samabdullah]

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[okuchaiev]

See https://colab.research.google.com/github/NVIDIA/NeMo/blob/main/tutorials/asr/01_ASR_with_NeMo.ipynb#scrollTo=2f142kIQc1Z2 for ASR example. Also, these two notebooks should be helpful:

• https://colab.research.google.com/github/NVIDIA/NeMo/blob/main/tutorials/00_NeMo_Primer.ipynb
• https://colab.research.google.com/github/NVIDIA/NeMo/blob/main/tutorials/01_NeMo_Models.ipynb

[samabdullah]

See https://colab.research.google.com/github/NVIDIA/NeMo/blob/main/tutorials/asr/01_ASR_with_NeMo.ipynb#scrollTo=2f142kIQc1Z2 for ASR example. Also, these two notebooks should be helpful:

* https://colab.research.google.com/github/NVIDIA/NeMo/blob/main/tutorials/00_NeMo_Primer.ipynb

* https://colab.research.google.com/github/NVIDIA/NeMo/blob/main/tutorials/01_NeMo_Models.ipynb

im just confused if i want to fine tune where this train_ds file should be placed as mentioned in tutorial

# Point to the data we'll use for fine-tuning as the training set quartznet.setup_training_data(train_data_config=params['model']['train_ds'])__

if i give its path in the config file wont it overwrite the pretrained model training?

[samabdullah]

any update ?