Learn how to fine-tune Llama 7B with Alpaca LoRa on a custom dataset of bitcoin sentiment tweets in this comprehensive tutorial. Discover the process of preprocessing data, training the model, and evaluating its performance. Follow along as the instructor guides you through initializing Llama, tokenizing the dataset, preparing the model for training, and using HuggingFace Transformers Trainer. Gain insights into analyzing Tensorboard logs and detecting cryptocurrency sentiment in tweets. By the end of this video, acquire the skills to apply Alpaca LoRa fine-tuning techniques to your own custom datasets for sentiment analysis tasks.
Fine-Tuning Alpaca- Train Alpaca LoRa for Sentiment Analysis on a Custom Dataset
Overview
Syllabus
- Intro
- Bitcoin Tweets Sentiment Dataset
- Easy Fine-Tuning
- Alpaca Lora Dataset
- Initialize Llama
- Tokenize Dataset
- Prepare the Model for Training
- HuggingFace Transformers Trainer
- Tensorboard Logs
- Detect Cryptocurrency Sentiment in Tweets
- Conclusion
Taught by
Venelin Valkov
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