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  {"model": "BiLSTM", "time_s": 106, "acc": 81.73, "param": 7059},
  {"model": "2 stacked BiLSTM", "time_s": 207, "acc": 81.97, "param": 9221},
  {"model": "3 stacked BiLSTM", "time_s": 310, "acc": 81.53, "param": 11383},
  {"model": "4 stacked BiLSTM", "time_s": 411, "acc": 81.37, "param": 13546},
  {"model": "S-LSTM", "time_s": 65, "acc": 82.64, "param": 8768},
  {"model": "CNN", "time_s": 34, "acc": 80.35, "param": 5637},
  {"model": "2 stacked CNN", "time_s": 40, "acc": 80.97, "param": 5717},
  {"model": "3 stacked CNN", "time_s": 47, "acc": 81.46, "param": 5808},
  {"model": "4 stacked CNN", "time_s": 51, "acc": 81.39, "param": 5855},
  {"model": "Transformer (N=6)", "time_s": 138, "acc": 81.03, "param": 7234},
  {"model": "Transformer (N=8)", "time_s": 174, "acc": 81.86, "param": 7615},
  {"model": "Transformer (N=10)", "time_s": 214, "acc": 81.63, "param": 8004},
  {"model": "BiLSTM+Attention", "time_s": 126, "acc": 82.37, "param": 7419},
  {"model": "S-LSTM+Attention", "time_s": 87, "acc": 83.07, "param": 8858}
]