Protein Engineering

gb1 · Linear

reference_gb1_lr_mr5_modulof2_20261105-014142

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
train0.77530.92720.95970.858534694.00000.76481.00001.00001.62151.82200.40000.00000.98081.00001.50051.82200.48000.00000.97691.00001.43011.82200.44000.00000.97280.99841.07901.82200.64300.00000.9747
validation4.58290.04360.0346-0.04564674.0000-0.361215461.00000.3000-1.31280.33130.00000.00000.15370.3400-1.13120.56510.00000.00000.21120.3400-1.03890.67640.00000.00000.24120.3550-1.03820.68940.00000.00000.2486
test5.9797-0.0493-0.0492-0.34701542.0000-0.242314793.00000.0000-3.0663-1.11080.00000.0000-0.07780.0000-2.9763-0.14780.00000.0000-0.05580.0200-2.94370.11990.00000.0000-0.04760.0398-3.07180.36020.00000.0000-0.0861

Loss per epoch

training validation

Config

name: reference_gb1_lr_mr5_modulof2
task: dms
data:
  dataset: gb1
  encoding: one_hot,aa_index
  split_dir: null
  split_scheme: modulo
  split_fold: 2
  min_reads: 5
model:
  name: lr
train:
  epochs: 300
  batch_size: 128
  learning_rate: 0.0001
  patience: 15
  min_delta: 1.0e-05
  seed: 7