Protein Engineering

bgl3 · Fully connected

reference_bgl3_fc_mr5_contiguousf1_20261104-221945

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
train1.82780.59770.66270.0110151.00000.0158950.00000.0000-0.6803-0.08320.00000.00000.40690.1600-0.60500.39400.06000.00000.51290.1500-0.52650.39400.10000.00000.59080.0882-0.67030.39400.05880.00000.4637
validation1.9146-0.3654-0.3704-0.004426.0000-0.1884294.00000.0000-2.6946-1.78520.00000.0000-0.45490.0000-2.8450-0.03420.02000.0000-0.60140.0200-2.79000.32970.03000.0000-0.61080.0000-2.5362-1.34990.00000.0000-0.3831
test1.7180-0.0473-0.0615-0.197340.00000.2505282.00000.1000-1.38310.18400.00000.0000-0.07920.0400-1.71010.23880.04000.0000-0.33520.0300-1.69400.53510.05000.0000-0.35260.1111-1.32040.18400.00000.0000-0.0418

Loss per epoch

training validation

Config

name: reference_bgl3_fc_mr5_contiguousf1
task: dms
data:
  dataset: bgl3
  encoding: one_hot,aa_index
  split_dir: null
  split_scheme: contiguous
  split_fold: 1
  min_reads: 5
model:
  name: fcn
  hidden:
  - 100
  - 100
  dropout: 0.2
train:
  epochs: 300
  batch_size: 32
  learning_rate: 0.0001
  patience: 15
  min_delta: 1.0e-05
  seed: 7