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csci1470-final-project's Introduction

CSCI-1470-Final-Project

Linformer: Self-Attention with Linear Complexity

Install
	git clone [email protected]:Kyan820815/CSCI1470-Final-Project.git
	cd CSCI1470-Final-Project
	# check and install required package
	pip install -r requirements.txt
Variable Explanation
  • num_tokens: size of vocab
  • input_size: window_size for encoder & decoder
  • channels: size of a word vector (before embedding)
  • dim_d: inner size of head computation, like W_q: d_m x d_k, where d_k is dim_d and d_m is embedding size
  • dim_k: main idea of paper
  • dim_ff: size of ff layer
  • nhead: number of head
  • depth: how many encoder or decoder of one pass for transformer
  • emb_dim: embedding size
  • parameter_sharing: what level of parameter sharing to use.

csci1470-final-project's People

Contributors

kyan820815 avatar

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