Protein Engineering

gb1 · Fully connected

reference_gb1_fc_plm_randomf2_20261104-182609

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
train0.19460.98130.98050.962656269.00000.874390.00001.00001.64821.93620.00000.00000.87681.00001.66141.93620.10000.00000.92411.00001.67272.52950.22000.00000.94741.00001.30962.52950.80380.00000.9880
validation0.20960.97970.97930.959618942.00000.865775.00001.00001.59561.81280.00000.00000.89451.00001.60142.11100.20000.00000.94241.00001.61122.25940.46000.00000.96291.00001.29212.25940.79100.00000.9872
test0.20800.97990.97880.960018825.00000.8673542.00001.00001.68702.09420.10000.00000.93251.00001.62312.09420.30000.00000.95731.00001.59832.09420.47000.00000.96861.00001.29932.28590.80780.00000.9867

Loss per epoch

training validation

Config

name: reference_gb1_fc_plm_randomf2
task: dms
data:
  dataset: gb1
  encoding: one_hot,aa_index,plm,plm_sum
  split_dir: null
  split_scheme: random
  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