Protein Engineering

gb1 · Linear

reference_gb1_lr_mr20_modulof0_20261105-015808

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
train1.14840.87660.90320.758229958.00000.39102711.00001.00001.60461.92400.10000.00000.92221.00001.38701.92400.06000.00000.89531.00001.29841.92400.07000.00000.88440.96840.94311.98880.32580.00000.8801
validation7.0956-0.2316-0.1994-0.20284092.00000.0399507.00000.0000-4.3723-0.13550.00000.0000-0.51420.0000-4.4638-0.04710.00000.0000-0.55390.0200-4.39190.37620.00000.0000-0.54500.0370-4.43400.69780.00000.0000-0.5672
test6.4835-0.1217-0.1015-0.15952556.0000-0.06695936.00000.2000-4.55380.28600.00000.0000-0.44350.1800-4.28020.53550.00000.0000-0.39010.1300-4.21960.53550.00000.0000-0.38220.1684-4.08050.69450.00000.0000-0.3522

Loss per epoch

training validation

Config

name: reference_gb1_lr_mr20_modulof0
task: dms
data:
  dataset: gb1
  encoding: one_hot,aa_index
  split_dir: null
  split_scheme: modulo
  split_fold: 0
  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