Protein Engineering

gb1 · Sequence CNN

reference_gb1_cnn_mr20_modulof2_20261105-022843

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
train0.23080.98110.97550.958333667.00000.86471.00001.00001.60141.82200.40000.00000.97731.00001.51761.82200.50000.00000.98311.00001.45881.82200.56000.00000.98171.00001.12211.82200.73470.00000.9875
validation5.12190.0261-0.0642-0.16394400.0000-0.29187521.00000.0000-1.7440-1.16470.00000.00000.05330.0000-1.8407-0.83050.00000.00000.02900.0000-1.8711-0.28720.00000.00000.02120.0208-1.96010.22570.00000.0000-0.0034
test9.8721-0.3732-0.3871-1.20991519.00000.152213601.00000.0000-5.1857-3.86760.00000.0000-0.64360.0000-5.2377-1.28880.00000.0000-0.68480.0000-5.0140-0.93550.00000.0000-0.63410.0051-4.82630.24430.00000.0000-0.5936

Loss per epoch

training validation

Config

name: reference_gb1_cnn_mr20_modulof2
task: dms
data:
  dataset: gb1
  encoding: one_hot,aa_index
  split_dir: null
  split_scheme: modulo
  split_fold: 2
  min_reads: 20
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