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Fine-tuning Tiny LLM on Your Data | Sentiment Analysis with TinyLlama and LoRA on a Single GPU

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Venelin Valkov

Full text tutorial (requires MLExpert Pro): https://www.mlexpert.io/bootcamp/fine...

Getting bad predictions from your Tiny LLM? Learn how to finetune a small LLM (e.g. Phi2, 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/venelinsubscribe
GitHub repository: https://github.com/curiousily/GetThi...

00:00 Intro
00:36 Text tutorial on MLExpert
01:01 Why finetuning Tiny LLM?
04:38 Prepare the dataset
09:46 Model & tokenizer setup
11:32 Token counts
12:41 Finetuning 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

posted by blogoffev