Protein Engineering

bgl3 · Fully connected

reference_bgl3_fc_mr5_contiguousf0_20261104-221742

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
train2.05020.62110.6803-0.0418156.00000.1316595.00000.2000-0.49170.67100.10000.00000.49420.1600-0.49170.67100.08000.00000.57890.2200-0.44390.70420.17000.00000.64290.0857-0.60120.67100.05710.00000.5078
validation1.4411-0.1230-0.1292-0.004340.00000.242933.00000.1000-1.59310.10900.00000.0000-0.20210.0800-1.75990.99710.08000.0000-0.37140.0500-1.80810.99710.10000.0000-0.44290.1111-1.53250.10900.00000.0000-0.1639
test1.9609-0.2277-0.2183-0.154821.0000-0.13251061.00000.0000-2.4822-0.62780.00000.0000-0.30270.0000-2.6300-0.13690.00000.0000-0.42620.0100-2.59120.03260.05000.0000-0.43320.0000-2.4709-0.62780.00000.0000-0.3019

Loss per epoch

training validation

Config

name: reference_bgl3_fc_mr5_contiguousf0
task: dms
data:
  dataset: bgl3
  encoding: one_hot,aa_index
  split_dir: null
  split_scheme: contiguous
  split_fold: 0
  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