Protein Engineering

pab1 · Fully connected

reference_pab1_fc_modulof4_20261104-170210

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
train1.19340.83910.82700.69071414.00000.09095415.00000.5000-0.00680.46810.00000.00000.65970.3200-0.16730.46810.00000.00000.67340.3100-0.12480.46810.01000.00000.71700.3427-0.11300.46810.04200.00000.7362
validation3.2783-0.1095-0.1205-0.0205171.00000.01801625.00000.1000-1.73690.22360.00000.00000.03320.0600-1.74440.22360.02000.00000.03520.0700-1.93640.42640.05000.0000-0.05660.1176-1.61580.22360.00000.00000.0860
test3.7920-0.0873-0.0493-0.0200234.00000.1973531.00000.0000-4.1370-3.05730.00000.0000-1.10310.0200-2.65090.20140.00000.0000-0.48580.0900-2.29410.34440.08000.0000-0.32700.0000-3.4943-0.51110.00000.0000-0.8357

Loss per epoch

training validation

Config

name: reference_pab1_fc_modulof4
task: dms
data:
  dataset: pab1
  encoding: one_hot,aa_index
  split_dir: null
  split_scheme: modulo
  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