Protein Engineering

gb1 · Linear

reference_gb1_lr_plm_modulof1_20261104-181205

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
train1.08090.88990.91550.789135035.00000.4533173.00001.00001.44611.73860.00000.00000.82361.00001.48622.01760.06000.00000.88091.00001.40282.01760.06000.00000.88370.99161.06852.52950.38670.00000.8995
validation5.06780.13960.1394-0.14131545.00000.094612854.00000.1000-1.48050.12340.00000.00000.34790.1200-2.62470.55750.00000.00000.04240.1000-2.32770.55750.00000.00000.12810.0995-2.16470.67230.01490.00000.1786
test5.32360.28870.25830.08194408.0000-0.049913795.00000.1000-0.97690.73430.00000.00000.35630.4200-0.67921.01700.00000.00000.45630.3700-0.83731.01700.00000.00000.42380.3668-0.76081.03560.01010.00000.4569

Loss per epoch

training validation

Config

name: reference_gb1_lr_plm_modulof1
task: dms
data:
  dataset: gb1
  encoding: one_hot,aa_index,plm,plm_sum
  split_dir: null
  split_scheme: modulo
  split_fold: 1
model:
  name: lr
train:
  epochs: 300
  batch_size: 128
  learning_rate: 0.0001
  patience: 15
  min_delta: 1.0e-05
  seed: 7