Protein Engineering

bgl3 · Fully connected

reference_bgl3_fc_mr5_modulof2_20261104-222056

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
train1.69820.65370.6556-0.0655143.00000.1139602.00000.1000-0.34080.10230.00000.00000.47390.1800-0.34640.99710.04000.00000.58330.1600-0.36800.99710.15000.00000.61890.2593-0.22430.99710.07410.00000.6056
validation1.0077-0.2547-0.1730-0.004944.0000-0.1961455.00000.0000-2.8623-1.35580.00000.0000-1.45760.0000-1.9394-0.00390.02000.0000-0.98740.0300-1.45670.53510.09000.0000-0.58110.0000-2.7728-1.35580.00000.0000-1.3266
test1.1987-0.2171-0.1810-0.020323.00000.2723166.00000.0000-2.6810-1.34990.00000.0000-1.14930.0200-2.05570.28210.02000.0000-0.82040.0100-1.81720.28210.05000.0000-0.66320.0000-2.5945-1.34990.00000.0000-1.0633

Loss per epoch

training validation

Config

name: reference_bgl3_fc_mr5_modulof2
task: dms
data:
  dataset: bgl3
  encoding: one_hot,aa_index
  split_dir: null
  split_scheme: modulo
  split_fold: 2
  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