Protein Engineering

bgl3 · Fully connected

reference_bgl3_fc_mr5_modulof0_20261104-221704

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
train1.83660.52010.4740-0.1093109.00000.0935801.00000.1000-0.41850.23880.00000.00000.50970.0800-0.94730.32820.06000.00000.27740.0500-0.94800.32820.05000.00000.29610.1034-0.90260.32820.06900.00000.2872
validation1.1290-0.00790.0025-0.000347.0000-0.0768421.00000.0000-0.5613-0.09560.00000.00000.27550.0400-1.12070.15790.04000.0000-0.12420.0600-1.06970.15790.13000.0000-0.08830.0000-0.7122-0.22190.00000.00000.1635
test1.1662-0.2116-0.1460-0.009949.00000.0031686.00000.1000-2.63740.12820.00000.0000-1.07190.0600-1.97800.13580.06000.0000-0.75960.0400-1.63380.13580.08000.0000-0.53090.1429-2.85120.12820.00000.0000-1.1855

Loss per epoch

training validation

Config

name: reference_bgl3_fc_mr5_modulof0
task: dms
data:
  dataset: bgl3
  encoding: one_hot,aa_index
  split_dir: null
  split_scheme: modulo
  split_fold: 0
  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