Protein Engineering

gb1 · Linear

reference_gb1_lr_mr20_randomf2_20261105-022517

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
train0.71300.92940.96340.863854119.00000.8142406.00001.00001.61731.93620.20000.00000.92231.00001.65281.99510.18000.00000.95611.00001.61171.99510.28000.00000.95750.99971.26482.14550.77400.00000.9848
validation0.72000.92890.96280.862818127.00000.814929.00001.00001.62361.82690.10000.00000.93841.00001.61222.01760.34000.00000.96371.00001.57482.01760.52000.00000.97260.99901.27092.01760.78430.00000.9845
test0.72010.92870.96290.862518134.00000.810180.00001.00001.66021.83750.10000.00000.95861.00001.63191.89910.42000.00000.97501.00001.57811.91300.53000.00000.97491.00001.25631.91300.77560.00000.9844

Loss per epoch

training validation

Config

name: reference_gb1_lr_mr20_randomf2
task: dms
data:
  dataset: gb1
  encoding: one_hot,aa_index
  split_dir: null
  split_scheme: random
  split_fold: 2
  min_reads: 20
model:
  name: lr
train:
  epochs: 300
  batch_size: 128
  learning_rate: 0.0001
  patience: 15
  min_delta: 1.0e-05
  seed: 7