Protein Engineering

gb1 · Linear

reference_gb1_lr_mr5_modulof1_20261105-012006

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
train1.19880.88140.90610.765934869.00000.42291966.00001.00001.60461.92400.00000.00000.87801.00001.45381.92400.02000.00000.88761.00001.40102.01760.07000.00000.89310.98061.01922.09420.35430.00000.8886
validation5.2315-0.0214-0.0202-0.17841542.0000-0.243314939.00000.0000-2.4391-0.91820.00000.00000.09100.0200-2.84100.11990.00000.0000-0.01790.0200-2.89670.11990.00000.0000-0.03410.0398-3.07720.36020.00000.0000-0.0876
test6.8295-0.2203-0.1881-0.17794369.00000.03796651.00000.0000-4.3723-0.13550.00000.0000-0.52140.0000-4.4638-0.04710.00000.0000-0.56950.0300-4.26891.36440.01000.0000-0.52830.0505-4.29121.36440.01010.0000-0.5474

Loss per epoch

training validation

Config

name: reference_gb1_lr_mr5_modulof1
task: dms
data:
  dataset: gb1
  encoding: one_hot,aa_index
  split_dir: null
  split_scheme: modulo
  split_fold: 1
  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