Protein Engineering

gb1 · Linear

reference_gb1_lr_mr20_modulof2_20261105-023357

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
train0.78980.92770.95980.857333667.00000.76911.00001.00001.62551.82200.40000.00000.98311.00001.49851.82200.48000.00000.97841.00001.43331.82200.46000.00000.97540.99841.08311.82200.65720.00000.9768
validation4.61070.04090.0324-0.04774400.0000-0.371614057.00000.3000-1.31280.33130.00000.00000.16600.3600-0.99170.56510.00000.00000.25860.3900-0.99860.57840.00000.00000.26210.3646-0.97900.72190.00000.00000.2747
test6.1227-0.0496-0.0490-0.37061519.0000-0.244214572.00000.0000-2.9026-0.31220.00000.0000-0.03080.0200-2.87280.03120.00000.0000-0.02380.0300-2.82600.11990.00000.0000-0.01090.0355-3.13890.11990.00000.0000-0.1023

Loss per epoch

training validation

Config

name: reference_gb1_lr_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: lr
train:
  epochs: 300
  batch_size: 128
  learning_rate: 0.0001
  patience: 15
  min_delta: 1.0e-05
  seed: 7