# Machine Learning Level 1 Module 4 Self Assesment- Serafina Alhadad

**URL:** <https://stemaway.com/t/machine-learning-level-1-module-4-self-assesment-serafina-alhadad/9095>\
**Category:** Machine Learning Pipeline (NLP) (CE) 2021\
**Created:** [July 30, 2021, 3:43am UTC](https://stemaway.com/t/machine-learning-level-1-module-4-self-assesment-serafina-alhadad/9095 "2021-07-30T03:43:24Z")\
**Posts on this page:** 1\
**Page:** 1

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**Author:** ![serafina](https://d2nat51eddc6b4.cloudfront.net/letter_avatar_proxy/v4/letter/s/41b3a3/32.png) [@serafina](https://stemaway.com/u/serafina)\
**Post date:** [July 30, 2021, 3:43am UTC](https://stemaway.com/t/machine-learning-level-1-module-4-self-assesment-serafina-alhadad/9095/1 "2021-07-30T03:43:24Z")

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Technical Area:

- I learned about how to train BERT and such using the Simple Transformers Library.
- Tried out other advanced models like: `['xlnet', 'xlm', 'roberta', 'distilbert']`
- Learned how to install packages and work around debugging issues
- Learned what BERT does and how it can be implemented.

Tools:

- Simple transformers
- torch
- sklearn
- Jupiter Notebook

Soft Skills:

- Improved my Jupiter Notebook skills and how to navigate it
- Learned how to debug issues using different platforms on Google
- Communcating with my group and leader more efficiently

Achievements/Tasks:

- I was able to install packages after figuring out why they were not downloading properly on my computer
- Used the various packages to build and dockerize ML App by training my advanced models

Challenges: Still trying to understand the relation between this module and module 3