Protein Engineering

gb1 · Fully connected

reference_gb1_fc_plm_contiguousf1_20261104-181706

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
train0.23750.97870.97950.952533066.00000.85113079.00001.00001.59711.82200.20000.00000.96791.00001.50771.82200.48000.00000.97791.00001.46381.82200.57000.00000.98161.00001.09261.82200.74760.00000.9840
validation5.70010.38240.3401-0.05672092.0000-0.00097841.00000.90000.54261.37580.00000.00000.76100.5600-0.40641.45750.00000.00000.60660.5200-0.78641.63660.01000.00000.54660.4776-1.01871.63660.06970.00000.5145
test3.83310.09650.0780-0.89955403.0000-0.01581054.00000.70000.01810.77140.00000.00000.43670.6600-0.01180.87250.00000.00000.45840.6700-0.01490.87250.00000.00000.47540.6070-0.16020.88650.01000.00000.4259

Loss per epoch

training validation

Config

name: reference_gb1_fc_plm_contiguousf1
task: dms
data:
  dataset: gb1
  encoding: one_hot,aa_index,plm,plm_sum
  split_dir: null
  split_scheme: contiguous
  split_fold: 1
model:
  name: fcn
  hidden:
  - 1000
  dropout: 0.2
train:
  epochs: 300
  batch_size: 64
  learning_rate: 0.0001
  patience: 15
  min_delta: 1.0e-05
  seed: 7