Protein Engineering

pab1 · Sequence CNN

reference_pab1_cnn_contiguousf1_20261104-154359

Metrics

Setmsepearsonrspearmanrr2above_wt_nabove_wt_spearmanrbudget_to_maxhit_rate_at_10mean_at_10max_at_10precision_at_10captured_at_10hit_rate_at_50mean_at_50max_at_50precision_at_50captured_at_50hit_rate_at_100mean_at_100max_at_100precision_at_100captured_at_100hit_rate_at_1pctmean_at_1pctmax_at_1pctprecision_at_1pctcaptured_at_1pct
train2.39050.44760.46290.17002849.00000.005713001.00000.0000-0.2724-0.03930.00000.43830.2600-0.13480.69790.00000.54670.1800-0.20020.69790.01000.54640.2020-0.24840.69790.01010.5556
validation4.5575-0.1902-0.1945-0.0730475.00000.13241651.00000.0000-2.9663-0.37250.00000.0000-0.23980.0800-2.61250.53520.02000.0000-0.12780.0800-2.54160.54860.03000.0000-0.10540.0625-2.68880.53520.02080.0000-0.1555
test3.6743-0.0774-0.0410-0.0236196.00000.00501015.00000.0000-4.4534-3.37700.00000.0000-0.94870.0000-4.0805-1.02690.00000.0000-0.86630.0000-3.4627-0.20070.00000.0000-0.62520.0000-4.2995-2.36840.00000.0000-0.9247

Loss per epoch

training validation

Config

name: reference_pab1_cnn_contiguousf1
task: dms
data:
  dataset: pab1
  encoding: one_hot,aa_index
  split_dir: null
  split_scheme: contiguous
  split_fold: 1
model:
  name: cnn
  conv:
  - - 128
    - 17
  - - 128
    - 17
  - - 128
    - 17
  hidden:
  - 100
  dropout: 0.2
train:
  epochs: 300
  batch_size: 128
  learning_rate: 0.0001
  patience: 15
  min_delta: 1.0e-05
  seed: 7