Train Custom Next Sentence Prediction Model using GPT-2 - NLP | Text Generation | Deep Learning

Video demonstrates the fine-tuning of the GPT2 model for custom natural language generation tasks. Steps covered for training the GPT2 model:
1. Data Preparation for our own use-case.
2. Model Download.
3.Fine-Tune the Model settings.
4.Train the model.
5.Evaluate the Performance using Tensorboard.
6.Generate the Next Sentence for a given piece of Sentence from our trained vocabulary.

Links:
SimpleTransformer: https://simpletransformers.ai/docs/lm-specifics/
Notebook Link: https://github.com/karndeepsin....gh/Custom-Next-Sente

Train Custom NER model using Bert: https://www.youtube.com/watch?v=uKPBkendlxw&t=16s

Train Custom Text Classification using BERT: https://www.youtube.com/watch?v=irU1q0kXekE

Text Annotation For NLP tasks: https://www.youtube.com/watch?v=vT-GE_jssPk&t=1s


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Connect with me on:
LinkedIn: https://www.linkedin.com/in/karndeepsingh
Github: https://www.github.com/karndeepsingh