Text generation

Using Neural Network nad library PyTorch.

Built With

• PyTorch - Open source machine learning framework that accelerates the path from research prototyping to production deployment.
• WanDB - Build better models faster with experiment tracking, dataset versioning, and model management.
• NumPy - The fundamental package for scientific computing with Python.
• Spacy - Used to build information extraction, natural language understanding systems, and to pre-process text for deep learning.
• Tqdm - Instantly make your loops show a smart progress meter.

Some screenshots during this project

After 4 trainings i compared results about different dropouts on Training dataset and choose dropout value of my model witch gives me smaller error

I've done same thing on my Validation dataset

Screenshot of my console on 36 epoch