Protein Engineering

pab1 · Sequence CNN

reference_pab1_cnn_modulof2_20261104-163553

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
train2.72760.58060.59950.28011717.00000.00565056.00000.3000-0.18530.34010.00000.00000.57590.1600-0.62120.34010.00000.00000.47490.1600-0.63180.47590.00000.00000.49750.1765-0.57630.81420.01960.00000.5361
validation3.54030.00610.0574-0.0129223.0000-0.0150774.00000.0000-1.8707-0.31540.00000.0000-0.08290.1200-2.34260.41580.02000.0000-0.31650.1100-2.37080.41580.04000.0000-0.34890.0000-2.3310-0.13670.00000.0000-0.2856
test3.9384-0.2020-0.0964-0.0971116.00000.1674458.00000.0000-5.0570-3.85920.00000.0000-1.27830.0000-4.4492-0.06410.00000.0000-1.13230.0200-3.86200.44750.02000.0000-0.91350.0000-5.0128-2.98920.00000.0000-1.2830

Loss per epoch

training validation

Config

name: reference_pab1_cnn_modulof2
task: dms
data:
  dataset: pab1
  encoding: one_hot,aa_index
  split_dir: null
  split_scheme: modulo
  split_fold: 2
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