Protein Engineering

gb1 · Sequence CNN

reference_gb1_cnn_mr20_modulof0_20261105-015127

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
train0.21800.97930.98100.954129958.00000.8813276.00001.00001.65691.85270.00000.00000.93441.00001.65091.89590.22000.00000.95851.00001.65951.98880.44000.00000.97201.00001.34902.14550.79150.00000.9887
validation7.41350.17840.1491-0.25674092.00000.12448993.00000.4000-0.73470.97440.00000.00000.45030.4400-0.74180.97440.00000.00000.46120.3800-1.06310.97440.00000.00000.38110.3439-1.37131.07520.00530.00000.3009
test9.3134-0.1257-0.1567-0.66562556.00000.021914488.00000.0000-5.6399-4.23360.00000.0000-0.71840.0000-5.5457-4.23360.00000.0000-0.72410.0000-5.5840-4.14860.00000.0000-0.74990.0102-5.36550.39270.00000.0000-0.7061

Loss per epoch

training validation

Config

name: reference_gb1_cnn_mr20_modulof0
task: dms
data:
  dataset: gb1
  encoding: one_hot,aa_index
  split_dir: null
  split_scheme: modulo
  split_fold: 0
  min_reads: 20
model:
  name: cnn
  conv:
  - - 128
    - 17
  - - 128
    - 17
  - - 128
    - 17
  hidden:
  - 100
  dropout: 0.2
train:
  epochs: 300
  batch_size: 32
  learning_rate: 0.0001
  patience: 15
  min_delta: 1.0e-05
  seed: 7