Protein Engineering

gb1 · Fully connected

reference_gb1_fc_plm_modulof4_20261105-042321

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
train0.25560.97920.98030.949935489.00000.863676.00001.00001.69611.93620.00000.00000.89071.00001.66442.11100.14000.00000.92871.00001.66522.52950.30000.00000.94861.00001.38882.52950.80800.00000.9884
validation5.33500.22680.18170.04422689.0000-0.02874877.00000.1000-1.42000.05350.00000.00000.33590.2000-1.13180.77950.00000.00000.42920.1900-1.22411.02500.01000.00000.41520.1692-1.28001.02500.01000.00000.4104
test4.51780.22840.22790.02233230.0000-0.100018770.00000.1000-2.11250.14700.00000.00000.04210.3000-1.36150.72870.00000.00000.24820.2200-1.84460.74170.00000.00000.11920.1841-1.96160.74170.00000.00000.0891

Loss per epoch

training validation

Config

name: reference_gb1_fc_plm_modulof4
task: dms
data:
  dataset: gb1
  encoding: one_hot,aa_index,plm,plm_sum
  split_dir: null
  split_scheme: modulo
  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