Protein Engineering

gb1 · Linear

reference_gb1_lr_mr20_randomf0_20261105-014823

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
train0.71410.92940.96320.863754470.00000.8124500.00001.00001.61911.92400.10000.00000.91861.00001.63111.99510.16000.00000.95001.00001.60891.99510.25000.00000.95650.99901.26242.14550.77140.00000.9836
validation0.72120.92860.96310.862317972.00000.80465.00001.00001.69241.93620.40000.00000.97051.00001.61001.93620.42000.00000.97361.00001.57911.93620.55000.00000.97911.00001.24631.93620.76510.00000.9832
test0.71640.92900.96320.863017938.00000.812653.00001.00001.60071.85270.10000.00000.93641.00001.58781.86660.38000.00000.95541.00001.57891.96720.47000.00000.96711.00001.27381.96720.78040.00000.9856

Loss per epoch

training validation

Config

name: reference_gb1_lr_mr20_randomf0
task: dms
data:
  dataset: gb1
  encoding: one_hot,aa_index
  split_dir: null
  split_scheme: random
  split_fold: 0
  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