Fine-tuning Tiny LLM on Your Data | Sentiment Analysis with TinyLlama and LoRA on a Single GPU
Full text tutorial (requires MLExpert Pro): https://www.mlexpert.io/bootcamp/fine... Getting bad predictions from your Tiny LLM? Learn how to fine-tune a small LLM (e.g. Phi-2, TinyLlama) and (possibly) increase your model's performance. You'll understand how to set up a dataset, model, tokenizer, and LoRA adapter. We'll train the model (Tiny Llama) on a single GPU with custom data and evaluate the predictions. AI Bootcamp (in preview): https://www.mlexpert.io/membership Discord: / discord Subscribe: http://bit.ly/venelin-subscribe GitHub repository: https://github.com/curiousily/Get-Thi... 00:00 - Intro 00:36 - Text tutorial on MLExpert 01:01 - Why fine-tuning Tiny LLM? 04:38 - Prepare the dataset 09:46 - Model & tokenizer setup 11:32 - Token counts 12:41 - Fine-tuning with LoRA 22:13 - Training results & saving the model 24:00 - Inference with the trained model 28:05 - Evaluation 30:46 - Conclusion Join this channel to get access to the perks and support my work: / @venelin_valkov #artificialintelligence #sentimentanalysis #llm #llama2 #chatgpt #gpt4 #python #chatbot
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