Protein Engineering

gb1 · Sequence CNN

reference_gb1_cnn_mr20_contiguousf0_20261105-015931

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
train0.26470.97810.95510.954931586.00000.8790527.00001.00001.69361.99510.20000.00000.94771.00001.69291.99510.26000.00000.96961.00001.65922.00800.33000.00000.97171.00001.37462.14550.76600.00000.9885
validation2.1652-0.0412-0.0534-0.07325223.00000.107212222.00000.7000-0.16890.40600.00000.00000.37940.4200-0.90920.68150.00000.00000.05570.3700-1.07890.68150.00000.0000-0.02430.3333-0.96610.84380.00510.00000.0315
test3.3602-0.1435-0.2143-0.09441827.0000-0.168217872.00000.0000-3.1061-1.71310.00000.0000-0.37600.0000-2.5711-1.12740.00000.0000-0.20020.0000-2.5914-1.12740.00000.0000-0.21220.0000-2.6066-1.12740.00000.0000-0.2236

Loss per epoch

training validation

Config

name: reference_gb1_cnn_mr20_contiguousf0
task: dms
data:
  dataset: gb1
  encoding: one_hot,aa_index
  split_dir: null
  split_scheme: contiguous
  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