Protein Engineering

gb1 · Linear

reference_gb1_lr_mr20_randomf1_20261105-020753

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
train0.71280.92950.96330.863954274.00000.8145406.00001.00001.62841.92400.10000.00000.91881.00001.63751.99510.16000.00000.94871.00001.61352.01760.26000.00000.95470.99941.27042.14550.77690.00000.9846
validation0.72010.92870.96300.862518134.00000.807969.00001.00001.65561.79140.10000.00000.95751.00001.63541.89910.42000.00000.97581.00001.57971.91300.52000.00000.97530.99901.25281.91300.77280.00000.9835
test0.72120.92860.96310.862317972.00000.80574.00001.00001.69241.93620.40000.00000.97051.00001.61461.93620.38000.00000.97471.00001.57821.93620.54000.00000.97891.00001.24741.93620.77560.00000.9835

Loss per epoch

training validation

Config

name: reference_gb1_lr_mr20_randomf1
task: dms
data:
  dataset: gb1
  encoding: one_hot,aa_index
  split_dir: null
  split_scheme: random
  split_fold: 1
  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