Protein Engineering

gb1 · Sequence CNN

reference_gb1_cnn_contiguousf1_20261104-154041

Metrics

Setmsepearsonrspearmanrr2above_wt_nabove_wt_spearmanrbudget_to_maxhit_rate_at_10mean_at_10max_at_10precision_at_10captured_at_10hit_rate_at_50mean_at_50max_at_50precision_at_50captured_at_50hit_rate_at_100mean_at_100max_at_100precision_at_100captured_at_100hit_rate_at_1pctmean_at_1pctmax_at_1pctprecision_at_1pctcaptured_at_1pct
train0.19100.98130.98150.961833066.00000.87064087.00001.00001.60371.82200.30000.96951.00001.48891.82200.44000.97321.00001.45531.82200.53000.97951.00001.10931.82200.78900.9887
validation9.1449-0.1246-0.0957-0.69532092.0000-0.326917576.00000.0000-5.6425-4.46480.00000.0000-0.35070.0000-5.2037-3.33670.00000.0000-0.27920.0000-4.9487-1.89580.00000.0000-0.23660.0000-4.5081-0.32260.00000.0000-0.1572
test3.2649-0.1281-0.2021-0.61795403.0000-0.12384773.00000.0000-2.9666-2.00010.00000.0000-0.82680.0000-2.1250-0.98020.00000.0000-0.50860.0100-1.98800.23820.00000.0000-0.46380.0100-1.84350.23820.00000.0000-0.4142

Loss per epoch

training validation

Config

name: reference_gb1_cnn_contiguousf1
task: dms
data:
  dataset: gb1
  encoding: one_hot,aa_index
  split_dir: null
  split_scheme: contiguous
  split_fold: 1
model:
  name: cnn
  conv:
  - - 128
    - 17
  - - 128
    - 17
  - - 128
    - 17
  hidden:
  - 100
  dropout: 0.2
train:
  epochs: 300
  batch_size: 32
  learning_rate: 0.0001
  patience: 15
  min_delta: 1.0e-05
  seed: 7