Protein Engineering

bgl3 · Fully connected

reference_bgl3_fc_plm_contiguousf3_20261105-040512

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
train1.86390.29210.25160.05484815.0000-0.01602847.00000.60000.50092.01740.00000.00000.27330.58000.48132.31360.00000.00000.30400.53000.25602.31360.02000.00000.24320.53620.25582.31360.03620.00000.2501
validation1.66560.24950.20020.06221997.0000-0.1358265.00000.5000-0.00551.04800.00000.00000.06190.54000.00822.08410.00000.00000.07640.4200-0.07122.08410.01000.00000.04880.55320.01672.08410.00000.00000.0793
test1.84800.27570.18990.04591899.0000-0.08112986.00000.4000-1.00461.59450.00000.0000-0.22720.5600-0.12632.08410.00000.00000.05670.4700-0.37102.50020.03000.0000-0.03410.5510-0.16142.08410.00000.00000.0439

Loss per epoch

training validation

Config

name: reference_bgl3_fc_plm_contiguousf3
task: dms
data:
  dataset: bgl3
  encoding: one_hot,aa_index,plm,plm_sum
  split_dir: null
  split_scheme: contiguous
  split_fold: 3
model:
  name: fcn
  hidden:
  - 100
  - 100
  dropout: 0.2
train:
  epochs: 300
  batch_size: 32
  learning_rate: 0.0001
  patience: 15
  min_delta: 1.0e-05
  seed: 7