Protein Engineering

gb1 · Fully connected

reference_gb1_fc_plm_randomf4_20261105-041414

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
train0.18910.98170.98090.963656646.00000.8758106.00001.00001.66231.92400.00000.00000.87941.00001.69032.19520.14000.00000.93251.00001.68042.19920.25000.00000.95171.00001.30982.52950.81750.00000.9893
validation0.20870.97970.97870.959918587.00000.8670511.00001.00001.69401.99510.10000.00000.92131.00001.66662.09750.34000.00000.95811.00001.62762.09750.51000.00000.96941.00001.29352.45390.79290.00000.9864
test0.20590.98000.97910.960318803.00000.875277.00001.00001.63241.93620.10000.00000.90971.00001.59841.98880.28000.00000.94341.00001.59392.14550.43000.00000.96311.00001.32072.14550.82650.00000.9897

Loss per epoch

training validation

Config

name: reference_gb1_fc_plm_randomf4
task: dms
data:
  dataset: gb1
  encoding: one_hot,aa_index,plm,plm_sum
  split_dir: null
  split_scheme: random
  split_fold: 4
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