Protein Engineering

bgl3 · Fully connected

reference_bgl3_fc_mr5_modulof1_20261104-221856

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
train1.63440.56180.5235-0.0283136.00000.0924861.00000.3000-0.73700.33470.00000.00000.31620.1600-0.52620.51990.08000.00000.48940.0900-0.65260.51990.08000.00000.44640.1481-0.58850.38870.07410.00000.4251
validation1.1752-0.0275-0.0337-0.000323.00000.0979112.00000.0000-2.1211-0.75430.00000.0000-0.74090.0200-1.61180.04580.04000.0000-0.43720.0300-1.49190.22070.12000.0000-0.36010.0000-2.0498-0.91460.00000.0000-0.6744
test1.1443-0.1677-0.1545-0.013947.0000-0.0256658.00000.0000-1.7055-0.42090.00000.0000-0.47950.0200-1.52220.06500.02000.0000-0.47570.0700-1.26540.99710.09000.0000-0.27830.0000-1.8745-0.42090.00000.0000-0.5493

Loss per epoch

training validation

Config

name: reference_bgl3_fc_mr5_modulof1
task: dms
data:
  dataset: bgl3
  encoding: one_hot,aa_index
  split_dir: null
  split_scheme: modulo
  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