Protein Engineering

gb1 · Linear

reference_gb1_lr_plm_randomf2_20261104-182632

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
train0.71270.92900.96310.863056269.00000.808196.00001.00001.63271.93620.00000.00000.87341.00001.64061.99510.10000.00000.91941.00001.63032.52950.19000.00000.93760.99941.28222.52950.75840.00000.9808
validation0.71270.92870.96350.862518942.00000.7978100.00001.00001.58961.77920.00000.00000.89311.00001.58772.11100.18000.00000.93921.00001.58232.25940.41000.00000.95600.99811.27162.25940.75560.00000.9817
test0.71710.92850.96300.862118825.00000.7994361.00001.00001.66032.09420.10000.00000.92651.00001.61732.09420.28000.00000.95591.00001.58752.09420.45000.00000.96611.00001.28632.28590.77150.00000.9832

Loss per epoch

training validation

Config

name: reference_gb1_lr_plm_randomf2
task: dms
data:
  dataset: gb1
  encoding: one_hot,aa_index,plm,plm_sum
  split_dir: null
  split_scheme: random
  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