Protein Engineering

pab1 · Fully connected

reference_pab1_fc_modulof2_20261104-163612

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
train1.67020.76240.74370.55921717.00000.08322063.00000.4000-0.06380.45160.00000.00000.61560.3800-0.11180.46810.00000.00000.65730.3900-0.07750.86180.02000.00000.70710.3856-0.08010.86180.04580.00000.7301
validation3.6130-0.0553-0.0523-0.0337223.00000.11601409.00000.1000-2.68700.36930.00000.0000-0.42440.0600-2.96060.37980.04000.0000-0.60840.0700-2.57490.37980.04000.0000-0.45090.0625-2.93520.36930.00000.0000-0.5475
test3.6037-0.0071-0.0264-0.0039116.0000-0.13401285.00000.1000-1.42290.01910.00000.00000.20720.1000-1.76960.32080.04000.00000.07200.0900-1.79950.44750.07000.00000.06160.1429-1.35800.32080.00000.00000.2380

Loss per epoch

training validation

Config

name: reference_pab1_fc_modulof2
task: dms
data:
  dataset: pab1
  encoding: one_hot,aa_index
  split_dir: null
  split_scheme: modulo
  split_fold: 2
model:
  name: fcn
  hidden:
  - 100
  - 100
  - 100
  dropout: 0.2
train:
  epochs: 300
  batch_size: 128
  learning_rate: 0.001
  patience: 15
  min_delta: 1.0e-05
  seed: 7