Protein Engineering

gb1 · Fully connected

reference_gb1_fc_plm_randomf1_20261104-180508

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
train0.18490.98210.98160.964456332.00000.88381425.00001.00001.69751.93620.00000.00000.89631.00001.62911.99510.06000.00000.91901.00001.63232.11100.21000.00000.93911.00001.30662.45390.81340.00000.9889
validation0.20310.98030.97940.960918825.00000.8767356.00001.00001.67582.09420.10000.00000.93001.00001.63622.09420.34000.00000.96041.00001.60252.09420.49000.00000.96971.00001.30422.28590.81440.00000.9880
test0.20680.98000.97900.960418879.00000.878647.00001.00001.69811.92400.00000.00000.90581.00001.70762.52950.40000.00000.96491.00001.63782.52950.53000.00000.97010.99911.31492.52950.81250.00000.9881

Loss per epoch

training validation

Config

name: reference_gb1_fc_plm_randomf1
task: dms
data:
  dataset: gb1
  encoding: one_hot,aa_index,plm,plm_sum
  split_dir: null
  split_scheme: random
  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