Protein Engineering

gb1 · Fully connected

reference_gb1_fc_plm_modulof1_20261104-181200

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
train0.51040.95910.96490.900435035.00000.751873.00001.00001.58601.74340.00000.00000.85411.00001.64072.09420.10000.00000.91661.00001.64192.52950.21000.00000.94030.99951.36062.52950.68180.00000.9767
validation4.52920.06960.0692-0.02001545.00000.01079997.00000.2000-2.26180.10220.00000.00000.13810.2000-2.27350.45610.00000.00000.14080.1800-2.29800.52100.00000.00000.13660.1542-2.42100.60640.01490.00000.1038
test4.73280.45890.44410.18384408.00000.024710496.00001.00000.74890.87170.00000.00000.79980.96000.58131.05290.00000.00000.79770.95000.52321.64990.01000.00000.80160.79900.29361.64990.03520.00000.7574

Loss per epoch

training validation

Config

name: reference_gb1_fc_plm_modulof1
task: dms
data:
  dataset: gb1
  encoding: one_hot,aa_index,plm,plm_sum
  split_dir: null
  split_scheme: modulo
  split_fold: 1
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