Protein Engineering

gb1 · Linear

reference_gb1_lr_mr5_modulof0_20261105-005956

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
train1.11400.87880.90570.764330954.00000.41091620.00001.00001.60461.92400.00000.00000.88821.00001.43991.92400.02000.00000.89141.00001.36082.01760.08000.00000.88840.97640.99932.52950.35830.00000.8893
validation6.9150-0.2201-0.1879-0.19264369.00000.03766658.00000.0000-4.3723-0.13550.00000.0000-0.52140.0000-4.4638-0.04710.00000.0000-0.56950.0300-4.26891.36440.01000.0000-0.52830.0505-4.29121.36440.01010.0000-0.5474
test6.4535-0.1212-0.1005-0.15752671.0000-0.05276037.00000.2000-4.55380.28600.00000.0000-0.45200.1800-4.28020.53550.00000.0000-0.39840.1300-4.21960.53550.00000.0000-0.39080.1650-4.08400.69450.00000.0000-0.3622

Loss per epoch

training validation

Config

name: reference_gb1_lr_mr5_modulof0
task: dms
data:
  dataset: gb1
  encoding: one_hot,aa_index
  split_dir: null
  split_scheme: modulo
  split_fold: 0
  min_reads: 5
model:
  name: lr
train:
  epochs: 300
  batch_size: 128
  learning_rate: 0.0001
  patience: 15
  min_delta: 1.0e-05
  seed: 7