bgl3 · Graph CNN
reference_bgl3_gcn_mr5_contiguousf0_20261104-221743
Metrics
| Set | mse | pearsonr | spearmanr | r2 | above_wt_n | above_wt_spearmanr | budget_to_max | hit_rate_at_10 | mean_at_10 | max_at_10 | precision_at_10 | tie_share_at_10 | captured_at_10 | hit_rate_at_50 | mean_at_50 | max_at_50 | precision_at_50 | tie_share_at_50 | captured_at_50 | hit_rate_at_100 | mean_at_100 | max_at_100 | precision_at_100 | tie_share_at_100 | captured_at_100 | hit_rate_at_1pct | mean_at_1pct | max_at_1pct | precision_at_1pct | tie_share_at_1pct | captured_at_1pct |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| train | 1.7954 | 0.5922 | 0.7075 | 0.0877 | 156.0000 | 0.0443 | 216.0000 | 0.3000 | -0.3983 | 0.3940 | 0.0000 | 0.0000 | 0.5329 | 0.1400 | -0.5900 | 0.3940 | 0.0600 | 0.0000 | 0.5310 | 0.1600 | -0.5300 | 0.4856 | 0.1200 | 0.0000 | 0.5982 | 0.1429 | -0.5431 | 0.3940 | 0.0857 | 0.0000 | 0.5351 |
| validation | 1.4411 | -0.2271 | -0.2241 | -0.0044 | 40.0000 | 0.1134 | 221.0000 | 0.0000 | -3.0179 | -1.8019 | 0.0000 | 0.0000 | -1.0359 | 0.0200 | -2.6479 | 0.1840 | 0.0200 | 0.0000 | -1.0153 | 0.0300 | -2.3547 | 0.1840 | 0.0300 | 0.0000 | -0.8749 | 0.0000 | -2.9182 | -1.8019 | 0.0000 | 0.0000 | -0.9613 |
| test | 2.0132 | -0.1067 | -0.1647 | -0.1856 | 21.0000 | -0.1312 | 397.0000 | 0.0000 | -2.8849 | -1.9690 | 0.0000 | 0.0000 | -0.4894 | 0.0000 | -2.7611 | -0.1688 | 0.0000 | 0.0000 | -0.4960 | 0.0000 | -2.5107 | -0.0149 | 0.0300 | 0.0000 | -0.3874 | 0.0000 | -2.5295 | -0.4970 | 0.0000 | 0.0000 | -0.3294 |
Loss per epoch
training
validation
Config
name: reference_bgl3_gcn_mr5_contiguousf0 task: dms data: dataset: bgl3 encoding: one_hot,aa_index split_dir: null graph_threshold: 6 split_scheme: contiguous split_fold: 0 min_reads: 5 model: name: gcn filters: - 32 hidden: - 100 dropout: 0.2 train: epochs: 300 batch_size: 128 learning_rate: 0.0001 patience: 15 min_delta: 1.0e-05 seed: 7