Protein Engineering

gb1 · Sequence CNN

reference_gb1_cnn_contiguousf4_20261104-170503

Metrics

Setmsepearsonrspearmanrr2above_wt_nabove_wt_spearmanrbudget_to_maxhit_rate_at_10mean_at_10max_at_10precision_at_10tie_share_at_10captured_at_10hit_rate_at_50mean_at_50max_at_50precision_at_50tie_share_at_50captured_at_50hit_rate_at_100mean_at_100max_at_100precision_at_100tie_share_at_100captured_at_100hit_rate_at_1pctmean_at_1pctmax_at_1pctprecision_at_1pcttie_share_at_1pctcaptured_at_1pct
train0.33550.97190.95760.941030951.00000.7934250.00001.00001.58401.92400.00000.00000.88241.00001.59622.09420.10000.00000.92641.00001.58502.09420.15000.00000.94250.99951.35392.52950.72090.00000.9815
validation3.4477-0.0576-0.1143-0.12311866.0000-0.160914433.00000.0000-2.5705-1.50390.00000.0000-0.18450.0000-2.2086-1.27090.00000.0000-0.07150.0000-2.1036-0.91700.00000.0000-0.03510.0000-2.1247-0.91700.00000.0000-0.0442
test4.27240.28530.37290.03665856.00000.28633290.00001.00000.48460.68060.00000.00000.70461.00000.50030.89800.00000.00000.74091.00000.53640.97450.00000.00000.77220.96020.33511.20480.03980.00000.7213

Loss per epoch

training validation

Config

name: reference_gb1_cnn_contiguousf4
task: dms
data:
  dataset: gb1
  encoding: one_hot,aa_index
  split_dir: null
  split_scheme: contiguous
  split_fold: 4
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