Protein Engineering

gb1 · Fully connected

reference_gb1_fc_contiguousf4_20261104-170519

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
train0.40490.96400.95110.928830951.00000.8018127.00001.00001.59131.85270.00000.00000.88391.00001.65672.09420.10000.00000.93911.00001.61702.09420.23000.00000.94940.99901.36122.52950.73820.00000.9832
validation3.1856-0.0039-0.0376-0.03781866.00000.0116939.00000.0000-1.5903-1.01520.00000.00000.13680.0400-1.43560.21270.00000.00000.20330.0500-1.52980.21270.00000.00000.17480.0448-1.59520.42580.00000.00000.1554
test4.9144-0.0534-0.0811-0.10815856.00000.08187180.00000.0000-2.4292-1.26740.00000.0000-0.29830.0200-2.16790.05070.00000.0000-0.21740.0500-1.95540.33640.00000.0000-0.14450.0846-1.85030.64900.00000.0000-0.1094

Loss per epoch

training validation

Config

name: reference_gb1_fc_contiguousf4
task: dms
data:
  dataset: gb1
  encoding: one_hot,aa_index
  split_dir: null
  split_scheme: contiguous
  split_fold: 4
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