Commit dbc924e8 authored by Daniel Sammon's avatar Daniel Sammon 🏀
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Update README.md

parent bece2c53
# Assignment 2
## Environment set up
```
git clone git@gitlab.computing.dcu.ie:sammond4/bert-neural-network.git
cd bert-neural-network
conda create --name bert --file requirements.txt
conda activate bert
jupyter notebook
```
## Part 1
For part 1 we were given a basic logistic regression model that was achieving an accurcacy score of 77%. We were given the task of improving this score while still using logistic regression.
The code and comments are recorded in the Logistic regression notebook.
## Part 2
BERT is a neural network language model architecture introduced by Google in 2018 (Devlin
et al. 2018). When training a BERT model, the network is trained not to predict the next
token in a sequence but to predict a masked token as in a cloze test.
### Project status
In progress
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