Protein Engineering

gb1 · Sequence CNN

reference_gb1_cnn_plm_modulof0_20261104-175105

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
train0.28620.97080.97330.939531059.00000.822558.00001.00001.55851.82090.00000.00000.85971.00001.63732.09420.10000.00000.92781.00001.65622.52950.29000.00000.95261.00001.36502.52950.76500.00000.9853
validation4.82910.45410.41930.16724408.00000.121710015.00000.0000-4.2494-0.64830.00000.0000-0.48460.2800-2.49820.81540.00000.0000-0.03650.3600-1.86820.86360.00000.00000.13750.4975-1.17461.08130.00500.00000.3389
test6.75990.10940.0885-0.21112689.00000.00016497.00000.1000-3.98960.00820.00000.0000-0.30330.0800-3.77120.26110.00000.0000-0.26210.1300-3.35051.02500.01000.0000-0.15580.1144-3.32471.02500.01490.0000-0.1527

Loss per epoch

training validation

Config

name: reference_gb1_cnn_plm_modulof0
task: dms
data:
  dataset: gb1
  encoding: one_hot,aa_index,plm,plm_sum
  split_dir: null
  split_scheme: modulo
  split_fold: 0
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