Technical Area:
- Learned how to train BERT, specifically distilBert, understood advanced language modeling deeper
- Made more a accurate ML model
- Improved Python fluency
Tools:
- Simple Transformers
- tokenizers
- Docker
- Bert, distilBert
- SKlearn
Achievement Highlights:
- Understood advanced modelling better
- Played around with different models to better accuracy
- Resolved many bugs
Challenges:
- Learning all the theory and understanding the modules
- Making everything work on a tight schedule this week