Protein Engineering

gb1 · Fully connected

reference_gb1_fc_contiguousf2_20261104-164014

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
train0.29670.96040.97340.909640274.00000.7481493.00001.00001.31171.43460.00000.00000.87311.00001.21341.45260.12000.00000.90671.00001.16581.45260.25000.00000.92270.99950.85011.87050.55310.00000.9492
validation10.6345-0.2778-0.2886-0.93902473.00000.20722491.00000.0000-5.5824-5.08970.00000.0000-0.43290.0000-5.6176-4.65170.00000.0000-0.44770.0000-5.6250-4.65170.00000.0000-0.45530.0000-5.6394-4.65170.00000.0000-0.4675
test11.7750-0.2528-0.2683-1.18292092.0000-0.022914951.00000.0000-4.9409-3.90080.00000.0000-0.22460.0000-5.4271-3.88670.00000.0000-0.32050.0000-5.4478-0.03240.00000.0000-0.33050.0100-5.32440.76880.00000.0000-0.3144

Loss per epoch

training validation

Config

name: reference_gb1_fc_contiguousf2
task: dms
data:
  dataset: gb1
  encoding: one_hot,aa_index
  split_dir: null
  split_scheme: contiguous
  split_fold: 2
model:
  name: fcn
  hidden:
  - 1000
  dropout: 0.2
train:
  epochs: 300
  batch_size: 64
  learning_rate: 0.0001
  patience: 15
  min_delta: 1.0e-05
  seed: 7