Protein Engineering

gb1 · Linear

reference_gb1_lr_modulof0_20261104-144440

Metrics

Setmsepearsonrspearmanrr2above_wt_nabove_wt_spearmanrbudget_to_maxhit_rate_at_10mean_at_10max_at_10precision_at_10captured_at_10hit_rate_at_50mean_at_50max_at_50precision_at_50captured_at_50hit_rate_at_100mean_at_100max_at_100precision_at_100captured_at_100hit_rate_at_1pctmean_at_1pctmax_at_1pctprecision_at_1pctcaptured_at_1pct
train1.12660.87820.90500.761731059.00000.40481702.00001.00001.60461.92400.00000.86991.00001.43171.92400.02000.87971.00001.36332.01760.07000.88260.97330.99202.52950.35640.8857
validation6.8506-0.2183-0.1857-0.18144408.00000.036915545.00000.0000-4.3723-0.13550.00000.0000-0.51620.0000-4.4638-0.04710.00000.0000-0.56900.0300-4.26891.36440.01000.0000-0.52910.0503-4.29551.36440.01010.0000-0.5507
test6.4054-0.1213-0.1006-0.14762689.0000-0.05321670.00000.2000-4.55380.28600.00000.0000-0.44370.1800-4.28020.53550.00000.0000-0.39550.1300-4.21960.53550.00000.0000-0.38920.1642-4.09180.69450.00000.0000-0.3639

Loss per epoch

training validation

Config

name: reference_gb1_lr_modulof0
task: dms
data:
  dataset: gb1
  encoding: one_hot,aa_index
  split_dir: null
  split_scheme: modulo
  split_fold: 0
model:
  name: lr
train:
  epochs: 300
  batch_size: 128
  learning_rate: 0.0001
  patience: 15
  min_delta: 1.0e-05
  seed: 7