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Protein Secondary Structure Prediction

Model

3-layer BiLSTM trained for Q8 secondary structure prediction.

Dataset

NPPE Protein Secondary Structure Dataset.

Architecture

  • Embedding: 64
  • BiLSTM: 3 layers, hidden size 128
  • Dropout: 0.3

Training

  • Optimizer: Adam
  • Learning Rate: 5e-4 โ†’ 1e-4 (Cosine Annealing)
  • Epochs: 12

Inference

from model import BiLSTM
import torch
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