Protein Engineering

ube4b · Sequence CNN

reference_ube4b_cnn_plm_randomf4_20261105-041919

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
train2.01630.68590.64990.468912414.00000.45855.00001.00006.26389.18450.10000.00000.84301.00005.32619.18450.34000.00000.84541.00004.83409.18450.34000.00000.83690.99153.93339.18450.54750.00000.8856
validation2.15470.65100.61620.42364174.00000.4185125.00001.00005.11837.82590.10000.00000.77301.00004.66757.82590.34000.00000.84290.99004.11268.04830.44000.00000.83640.98983.74658.62460.56350.00000.8557
test2.18700.65680.62050.43124163.00000.457961.00001.00005.07587.74370.20000.00000.77901.00004.60607.74370.34000.00000.83861.00004.44399.15370.49000.00000.88310.98983.78259.15370.50760.00000.8568

Loss per epoch

training validation

Config

name: reference_ube4b_cnn_plm_randomf4
task: dms
data:
  dataset: ube4b
  encoding: one_hot,aa_index,plm,plm_sum
  split_dir: null
  split_scheme: random
  split_fold: 4
model:
  name: cnn
  conv:
  - - 128
    - 3
  - - 128
    - 3
  - - 128
    - 3
  - - 128
    - 3
  - - 128
    - 3
  hidden:
  - 100
  dropout: 0.2
train:
  epochs: 300
  batch_size: 128
  learning_rate: 0.0001
  patience: 15
  min_delta: 1.0e-05
  seed: 7