Protein Engineering

bgl3 · Fully connected

reference_bgl3_fc_mr5plm_contiguousf2_20261104-222725

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
train1.17930.59670.63530.3328152.0000-0.0501931.00000.1000-0.73240.11640.00000.00000.38410.0600-0.58310.11640.00000.00000.51880.1300-0.62360.20190.07000.00000.52830.0625-0.78400.11640.00000.00000.3965
validation1.35860.51090.50520.248138.0000-0.0255262.00000.3000-1.58570.39610.10000.0000-0.02920.1000-1.46230.39610.10000.00000.03510.0800-1.36520.76300.13000.00000.10010.2727-1.60530.39610.09090.0000-0.0388
test1.83040.34840.31770.039826.0000-0.1542678.00000.0000-1.5651-0.23970.00000.00000.09070.0000-1.8898-0.13520.00000.0000-0.07550.0000-1.7644-0.13520.04000.0000-0.00680.0000-1.6891-0.23970.00000.00000.0311

Loss per epoch

training validation

Config

name: reference_bgl3_fc_mr5plm_contiguousf2
task: dms
data:
  dataset: bgl3
  encoding: one_hot,aa_index,plm,plm_sum
  split_dir: null
  split_scheme: contiguous
  split_fold: 2
  min_reads: 5
model:
  name: fcn
  hidden:
  - 100
  - 100
  dropout: 0.2
train:
  epochs: 300
  batch_size: 32
  learning_rate: 0.0001
  patience: 15
  min_delta: 1.0e-05
  seed: 7