Protein Engineering

gb1 · Linear

reference_gb1_lr_mr20_contiguousf0_20261105-020431

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
train1.02900.91050.93490.824931586.00000.8514446.00001.00001.63331.93620.20000.00000.93541.00001.64581.99510.16000.00000.95981.00001.62761.99510.30000.00000.96510.99951.37032.14550.76490.00000.9876
validation2.4808-0.0757-0.0086-0.22955223.00000.08997749.00000.6000-0.37570.59630.00000.00000.28810.4200-1.23980.80680.00000.0000-0.09860.4400-1.02111.09090.01000.00000.00360.3990-1.05911.09090.01520.0000-0.0154
test3.50050.07510.1214-0.14011827.0000-0.07151974.00000.0000-3.9239-0.17810.00000.0000-0.65810.0200-3.46470.04310.00000.0000-0.52240.0200-3.20610.32180.00000.0000-0.43880.0402-3.04700.32180.00000.0000-0.3902

Loss per epoch

training validation

Config

name: reference_gb1_lr_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: lr
train:
  epochs: 300
  batch_size: 128
  learning_rate: 0.0001
  patience: 15
  min_delta: 1.0e-05
  seed: 7