Protein Engineering

gb1 · Sequence CNN

reference_gb1_cnn_mr5_contiguousf0_20261105-010106

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
train0.24900.98160.96570.957432202.00000.9240172.00001.00001.68171.99510.00000.00000.92041.00001.71262.09420.18000.00000.95551.00001.68792.11100.31000.00000.96451.00001.41912.19520.81350.00000.9923
validation2.18800.00780.0051-0.08505374.00000.09942457.00000.4000-1.17540.94310.00000.0000-0.06950.4800-0.92600.94310.00000.00000.04200.4800-0.77850.94310.01000.00000.11450.4400-0.80641.00890.01500.00000.1055
test4.5179-0.1164-0.1765-0.47201864.0000-0.144311921.00000.0000-2.7259-1.71310.00000.0000-0.24110.0000-2.5502-1.12740.00000.0000-0.19400.0000-2.5728-1.12740.00000.0000-0.20730.0000-2.5626-1.12740.00000.0000-0.2095

Loss per epoch

training validation

Config

name: reference_gb1_cnn_mr5_contiguousf0
task: dms
data:
  dataset: gb1
  encoding: one_hot,aa_index
  split_dir: null
  split_scheme: contiguous
  split_fold: 0
  min_reads: 5
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