It iterates about the checkpoint arguments within the YAML file and adds them into the command-line arguments checklist. Boolean values are taken care of separately, incorporating just the argument flag if the worth is Accurate.
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To resume teaching from a converted Megatron-LM checkpoint, it really is essential to properly create the education parameters to match the earlier Discovering amount timetable. Use the subsequent setting for that trainer.max_steps parameter with your NeMo training configuration:
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The one variance when utilizing the checkpoint converter Software’s CLI which has a sharded checkpoint would be that the checkpoint route argument will have to issue to the .index.json file instead of the singular .bin file as just before. The Instrument can find all of the corresponding shards, merge them, and convert the product.
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Commencing release two.one, the entire process of folding has become immediately dealt with because of the checkpoint converter. Working the next command will change a GPT2 muP design experienced in Modelzoo right into a sP Hugging Facial area-appropriate product.
Conversions are only sometimes doable as other repositories are a lot less basic than our Model Zoo implementations (e.g., quite a few Hugging Facial area NLP design implementations support minimal varieties of positional embeddings, while Design Zoo consists of an expanded vary). For that reason, we recommend you run config conversion ahead of coaching the design if you want to convert a Model Zoo model to another repository at any time.
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