Protein Engineering

gb1 · Linear

reference_gb1_lr_mr20_contiguousf1_20261105-022209

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
train1.13240.88580.91360.775632125.00000.417099.00001.00001.39901.58510.00000.00000.93461.00001.26451.64620.20000.00000.92410.99001.19831.82200.30000.00000.91870.95480.78271.82200.35540.00000.8981
validation9.2752-0.3197-0.3261-0.72742049.0000-0.328417268.00000.0000-5.6188-4.77320.00000.0000-0.34610.0000-5.4876-3.66190.00000.0000-0.33000.0000-5.3208-2.33890.00000.0000-0.30460.0000-5.1530-0.18550.00000.0000-0.2790
test3.1858-0.06190.0027-0.57905223.00000.05898691.00000.4000-0.70300.59630.00000.00000.14370.3200-1.49230.78830.00000.0000-0.21640.3700-1.22670.78830.00000.0000-0.09580.3232-1.32530.80680.00000.0000-0.1496

Loss per epoch

training validation

Config

name: reference_gb1_lr_mr20_contiguousf1
task: dms
data:
  dataset: gb1
  encoding: one_hot,aa_index
  split_dir: null
  split_scheme: contiguous
  split_fold: 1
  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