Protein Engineering

gb1 · Sequence CNN

reference_gb1_cnn_mr20_randomf2_20261105-022321

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
train0.13360.98720.98600.974554119.00000.9048141.00001.00001.76781.98880.20000.00000.95651.00001.72781.99510.32000.00000.97361.00001.70661.99510.47000.00000.97991.00001.29272.14550.83090.00000.9923
validation0.20280.98060.97860.961418127.00000.889622.00001.00001.68701.82200.10000.00000.95311.00001.63952.01760.40000.00000.97021.00001.59742.01760.53000.00000.97811.00001.29542.01760.83220.00000.9910
test0.20460.98040.97850.960918134.00000.8872174.00001.00001.70591.83750.20000.00000.96921.00001.63891.89910.48000.00000.97671.00001.59641.89910.57000.00000.97931.00001.27461.91300.81500.00000.9893

Loss per epoch

training validation

Config

name: reference_gb1_cnn_mr20_randomf2
task: dms
data:
  dataset: gb1
  encoding: one_hot,aa_index
  split_dir: null
  split_scheme: random
  split_fold: 2
  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