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Update README.md
Browse filesUpdated Readme for the architecture.
README.md
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license: mit
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---
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---
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license: mit
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---
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# Transformers from Scratch
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<!-- Provide a quick summary of what the model is/does. -->
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This project consists of code for Transformer Block, Single Head Attention and Multi-head attention and Casual Mask from Scratch.
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## Model Details
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### Model Description
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<!-- Provide a longer summary of what this model is. -->
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To solidify knowledge and for reference, attention block is based on paper "Attention is all you need".
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- **Developed by:** Michael Peres
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- **Model type:** Vanilla Transformer from Scratch
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- **Language(s) (NLP):** English
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- **License:** MIT
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### Model Sources
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<!-- Provide the basic links for the model. -->
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- **Paper [Attention is all you need]:** https://arxiv.org/abs/1706.03762
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## Uses
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<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
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[More Information Needed]
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## How to Get Started with the Model
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Use the code below to get started with the model.
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[More Information Needed]
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## Environmental Impact
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<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
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Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
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- **Hardware Type:** RTX 3070Ti
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- **Hours used:** 0.1hr
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### Model Architecture and Objective
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Objective in this model was to understand Transformers, and the basic self attention module. Self Attention, Multi-Head Attention and Casual Mask and Transformer Block
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## Model Card Contact
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- michaelperes1@gmail.com
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- ec20433@qmul.ac.uk
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