Protein Engineering

gb1 · Linear

reference_gb1_lr_modulof2_20261104-163424

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
train0.77760.92660.95880.858234843.00000.74531021.00001.00001.61131.82200.30000.00000.95601.00001.49541.82200.42000.00000.96681.00001.43141.82200.39000.00000.96720.99791.07142.01760.62320.00000.9706
validation4.58380.04580.0371-0.04514705.0000-0.361015524.00000.4000-1.27190.33130.00000.00000.15940.3400-1.11530.86630.00000.00000.21270.3500-1.01580.86630.00000.00000.24540.3650-1.02510.86630.00000.00000.2504
test5.8193-0.0468-0.0466-0.31051545.0000-0.239514813.00000.0000-3.0663-1.11080.00000.0000-0.07790.0200-2.88180.03120.00000.0000-0.02960.0200-2.94780.11990.00000.0000-0.04900.0398-3.07180.36020.00000.0000-0.0863

Loss per epoch

training validation

Config

name: reference_gb1_lr_modulof2
task: dms
data:
  dataset: gb1
  encoding: one_hot,aa_index
  split_dir: null
  split_scheme: modulo
  split_fold: 2
model:
  name: lr
train:
  epochs: 300
  batch_size: 128
  learning_rate: 0.0001
  patience: 15
  min_delta: 1.0e-05
  seed: 7