Protein Engineering

gb1 · Sequence CNN

reference_gb1_cnn_mr20_randomf1_20261105-020631

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
train0.15580.98520.98370.970354274.00000.8954155.00001.00001.66941.78590.00000.00000.92801.00001.72772.01760.26000.00000.96971.00001.68502.01760.42000.00000.97151.00001.29812.14550.82930.00000.9920
validation0.20360.98050.97860.961118134.00000.881720.00001.00001.65231.89910.30000.00000.95671.00001.65051.91300.48000.00000.97951.00001.61001.91300.58000.00000.98261.00001.27601.91300.81590.00000.9897
test0.20580.98030.97830.960717972.00000.88113.00001.00001.67511.93620.30000.00000.96651.00001.60801.93620.42000.00000.97311.00001.56741.93620.52000.00000.97631.00001.27201.93620.80440.00000.9900

Loss per epoch

training validation

Config

name: reference_gb1_cnn_mr20_randomf1
task: dms
data:
  dataset: gb1
  encoding: one_hot,aa_index
  split_dir: null
  split_scheme: random
  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