Training CodeParrot 🦜 from Scratch
Published:Dec 8, 2021 00:00
•1 min read
•Hugging Face
Analysis
This article likely discusses the process of training the CodeParrot language model from the beginning. It would delve into the specifics of the training data, the architecture used (likely a transformer-based model), the computational resources required, and the training methodology. The article would probably highlight the challenges faced during the training process, such as data preparation, hyperparameter tuning, and the evaluation metrics used to assess the model's performance. It would also likely compare the performance of the trained model with other existing models.
Key Takeaways
Reference
“The article would likely contain technical details about the training process.”