ALBERT-pytorch-implementation - ALBERT pytorch implementation

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Deep LearningALBERT-pytorch-implementation
Overview

ALBERT-pytorch-implementation

developing...

  • 모델의 개념이해를 돕기 위한 구현물로 현재 변수명을 상세히 적었고 변수를 Configuration화 하지 않고 중복하여 적어 구현하였습니다.

2022-01-05

  • MultiHeadAttention.py 구현 완료

2022-01-06

  • Transformer.py 구현 완료
    • Position-wise FeedForward Network 구현
    • Sublayer Connection 구현
    • GELU이용
  • ALBERT.py 구현 중 ... (Embedding 미구현)

2022-01-07

  • Embeddings.py 구현 완료
    • Position Embedding 구현
    • Token Embedding 구현
    • Segment Embedding 구현 (SOP 적용할 시 필요하여 일단 구현)
  • ALBERT.py 구현 완료
    • Hidden Projection 구현
    • Staked Layer iteration 가능

TODO Lists.

  • Embedding 구현
  • Masked Language Model + SOP 구현
  • 변수 Configuration 화
  • 코드 정리 및 Package 화

IDEA (Further Implementations)

  • Compression
    • Pruning
    • Quantization (clustering method)
    • Distillation
Owner
BG Kim
BG Kim
GitHub Repository
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