Protein Engineering

pab1 · Fully connected

reference_pab1_fc_modulof0_20261104-144615

Metrics

Setmsepearsonrspearmanrr2above_wt_nabove_wt_spearmanrbudget_to_maxhit_rate_at_10mean_at_10max_at_10precision_at_10captured_at_10hit_rate_at_50mean_at_50max_at_50precision_at_50captured_at_50hit_rate_at_100mean_at_100max_at_100precision_at_100captured_at_100hit_rate_at_1pctmean_at_1pctmax_at_1pctprecision_at_1pctcaptured_at_1pct
train1.48520.80820.78030.59881755.00000.09625923.00000.2000-0.26270.44100.00000.54540.3200-0.20010.65330.02000.62050.2700-0.17760.89080.02000.65790.2609-0.18380.89080.01450.6689
validation4.1597-0.3177-0.3190-0.0421132.00000.18961017.00000.0000-3.7223-0.50880.00000.0000-0.52090.0400-3.84590.11330.00000.0000-0.63650.0400-3.71370.39300.04000.0000-0.61060.0000-4.0510-0.50880.00000.0000-0.6637
test3.26830.03650.0461-0.0173171.0000-0.0169996.00000.0000-2.8594-0.03200.00000.0000-0.41330.0200-2.22360.03500.00000.0000-0.18660.0500-2.08940.22360.03000.0000-0.13140.0000-2.6244-0.03200.00000.0000-0.3381

Loss per epoch

training validation

Config

name: reference_pab1_fc_modulof0
task: dms
data:
  dataset: pab1
  encoding: one_hot,aa_index
  split_dir: null
  split_scheme: modulo
  split_fold: 0
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