Class Central is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

YouTube

Fine-Tuning Alpaca- Train Alpaca LoRa for Sentiment Analysis on a Custom Dataset

Venelin Valkov via YouTube

Start learning Write review
CodeSignal Ad

Learn Generative AI, Prompt Engineering, and LLMs for Free

Learn More → DataCamp Ad

AI Engineer - Learn how to integrate AI into software applications

Learn More →

Overview

Google, IBM & Meta Certificates – 40% Off
One Coursera Plus subscription covers most Professional Certificates on Coursera.
Unlock All Certificates
This tutorial demonstrates how to fine-tune Llama 7B with Alpaca LoRA on a custom Bitcoin-tweet sentiment dataset. It covers preprocessing, tokenization, training with HuggingFace Transformers Trainer, TensorBoard logging, and sentiment detection.

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

Reviews

Start your review of Fine-Tuning Alpaca- Train Alpaca LoRa for Sentiment Analysis on a Custom Dataset

Start learning

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.

Sign up for free
Someone learning on their laptop while sitting on the floor.