Learn how to fine-tune a T5-Large model for specialized text summarization in this Spanish-language video tutorial. Master the implementation of MLFlow for comprehensive logging and tracking throughout the fine-tuning process, with hands-on demonstrations using the multi-news summarization dataset. Access the complete training pipeline through the provided Jupyter notebook, which covers the integration of MLOps practices with advanced natural language processing tasks. Explore practical applications of machine learning operations while developing skills in model specialization and performance monitoring.
T5-Large Model Fine-Tuning for Text Summarization with MLFlow - Spanish
The Machine Learning Engineer via YouTube
Overview
Syllabus
MLOps MLFlow: FineTune T5-large Summarization Español #datascience #machinelearning
Taught by
The Machine Learning Engineer
Related Courses
-
Fine-tuning T5-Large Model for Text Summarization with MLFlow
-
2025 Fine Tuning LLM with Hugging Face Transformers for NLP
-
Fine-tuning Flan-T5 for Text Classification with MLFlow
-
MLOps Tools: MLflow and Hugging Face
-
Fine-tuning Flan-T5 for Sequence-to-Sequence Classification with MLFlow
-
MLOps MLFlow: Convertir Modelo T5 Large a ONNX y Quantizar a 8Int
