Protein Engineering

gb1 · Sequence CNN

reference_gb1_cnn_mr20_modulof1_20261105-021158

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
train0.27040.97600.97570.947533720.00000.8680219.00001.00001.70141.85270.00000.00000.94471.00001.62751.87730.20000.00000.95401.00001.63361.87730.35000.00000.96571.00001.36842.14550.77750.00000.9876
validation9.3730-0.1991-0.2197-1.09821519.00000.068410640.00000.0000-4.3100-2.17180.00000.0000-0.40860.0000-4.4241-0.92800.00000.0000-0.45740.0000-4.3532-0.92800.00000.0000-0.44590.0000-4.1305-0.84030.00000.0000-0.3910
test7.42870.01700.0206-0.25934092.00000.057616150.00000.1000-1.96250.71380.00000.00000.12470.1200-1.66420.86700.00000.00000.20960.1500-1.80820.86700.00000.00000.17380.1429-2.21060.95500.00000.00000.0630

Loss per epoch

training validation

Config

name: reference_gb1_cnn_mr20_modulof1
task: dms
data:
  dataset: gb1
  encoding: one_hot,aa_index
  split_dir: null
  split_scheme: modulo
  split_fold: 1
  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