Protein Engineering

pab1 · Fully connected

reference_pab1_fc_contiguousf4_20261104-170949

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
train1.88080.83870.85490.54741652.00000.04282118.00000.70000.05090.44100.00000.00000.72730.5400-0.02490.48960.00000.00000.75650.4400-0.10260.48960.05000.00000.75540.3667-0.12650.49740.06110.00000.7698
validation3.7669-0.0767-0.0735-0.0163222.00000.18351602.00000.0000-4.2698-1.70260.00000.0000-0.53910.0600-3.64620.46440.04000.0000-0.35350.0300-3.40950.46440.02000.0000-0.28190.0612-3.66730.46440.04080.0000-0.3603
test4.9310-0.0143-0.0040-1.6435931.00000.06113352.00000.3000-0.73380.47750.00000.00000.13270.2200-0.92610.55120.00000.00000.04380.1200-1.17100.55120.02000.0000-0.10320.2444-0.98530.55120.00000.00000.0100

Loss per epoch

training validation

Config

name: reference_pab1_fc_contiguousf4
task: dms
data:
  dataset: pab1
  encoding: one_hot,aa_index
  split_dir: null
  split_scheme: contiguous
  split_fold: 4
model:
  name: fcn
  hidden:
  - 100
  - 100
  - 100
  dropout: 0.2
train:
  epochs: 300
  batch_size: 128
  learning_rate: 0.001
  patience: 15
  min_delta: 1.0e-05
  seed: 7