:computer: You can fine-tune a Llama-2 model on your own dataset using a single line of code.
:package: To run this locally, you need to download the Auto Train Advance package from Hugging Face's GitHub repo.
:rocket: An Nvidia GPU is required for model fine-tuning, but you can use Google Colab if you don't have one.
π¦ The video explains how to fine-tune models using the Auto Train package from Hugging Face.
π The code provided demonstrates how to specify the project name and the model to be fine-tuned.
π It is important to note that this method can be used with any model from Hugging Face, not just the llama models.
π¦ You can create a sharded version of the original gamma model site using any available version.
π To fine-tune the model, you need to provide the name or path to the dataset.
π You can upload your data to hugging face or provide the local path to the dataset.
π¦ The video discusses the formatting of the data set for the LLAMA-2 model.
π It emphasizes the importance of using special tokens in the data set for the model to understand the input and output.
π₯ The format of the data set for fine-tuning the base model is different from the prompt template used in Lemma 2 chat models.
π¦ Using the 'use' command, the model can be fine-tuned on custom data.
π The learning rate controls the speed of conversion during the training process.
π§ The trainer used is 'sft', which stands for supervised fine-tuning.
π¦ Fine-tuning a large language model using your own training data set takes time, but it can be done using a single NF code.
π During the training process, a project folder is created to track the progress, and once complete, you can find the config.json file, tokenizer, and model file in the folder.
π To push the fine-tuned model to your own account, you need to provide the repo ID and be patient as it may take at least an hour to appear.
π¦ Learn how to fine-tune a large language model on your own data set using the Auto Train package.
π Discover the process of creating your own data sets instead of using pre-existing ones on Hugging Face.
π» Ensure you have a powerful GPU to effectively run the fine-tuning process.
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