Protein Engineering

gb1 · Sequence CNN

reference_gb1_cnn_plm_modulof3_20261105-035924

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
train0.18840.98270.97620.965129512.00000.8575107.00001.00001.31841.45260.00000.00000.91721.00001.21611.45260.28000.00000.94761.00001.17711.45260.35000.00000.95690.99900.90701.87050.68540.00000.9800
validation6.6788-0.2001-0.2002-0.44543230.0000-0.183020014.00000.0000-3.2055-1.03300.00000.0000-0.24450.0000-2.8737-0.78370.00000.0000-0.16360.0000-3.1816-0.64650.00000.0000-0.25290.0149-2.95660.39530.00000.0000-0.1955
test4.94570.11500.1136-0.12764705.0000-0.124311801.00000.1000-1.74070.16970.00000.00000.04260.1200-1.34391.17920.00000.00000.15170.1400-1.43861.17920.00000.00000.12960.1900-1.29041.17920.00000.00000.1755

Loss per epoch

training validation

Config

name: reference_gb1_cnn_plm_modulof3
task: dms
data:
  dataset: gb1
  encoding: one_hot,aa_index,plm,plm_sum
  split_dir: null
  split_scheme: modulo
  split_fold: 3
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