bgl3 · Graph CNN
reference_bgl3_gcn_contiguousf2_20261104-163932
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 | 1.8159 | 0.4653 | 0.4767 | 0.0272 | 4995.0000 | 0.0918 | 3121.0000 | 0.5000 | 0.3250 | 2.0841 | 0.0000 | 0.0000 | 0.2015 | 0.4600 | 0.0240 | 2.3637 | 0.0000 | 0.0000 | 0.1305 | 0.5300 | 0.1742 | 2.5419 | 0.0400 | 0.0000 | 0.1923 | 0.5662 | 0.2067 | 2.5419 | 0.0515 | 0.0000 | 0.2091 |
| validation | 1.9478 | -0.0806 | -0.0604 | -0.0057 | 1899.0000 | -0.0098 | 4179.0000 | 0.2000 | -1.4738 | 1.6290 | 0.0000 | 0.0000 | -0.3748 | 0.2000 | -1.1693 | 1.6290 | 0.0000 | 0.0000 | -0.3211 | 0.3100 | -0.8299 | 1.6290 | 0.0000 | 0.0000 | -0.2117 | 0.2041 | -1.1748 | 1.6290 | 0.0000 | 0.0000 | -0.3225 |
| test | 2.1482 | -0.0920 | -0.0726 | -0.0062 | 1465.0000 | 0.0121 | 3332.0000 | 0.4000 | -1.1628 | 2.0841 | 0.0000 | 0.0000 | -0.2060 | 0.2800 | -1.2361 | 2.0841 | 0.0000 | 0.0000 | -0.2590 | 0.2500 | -1.4016 | 2.7276 | 0.0200 | 0.0000 | -0.3391 | 0.2558 | -1.2226 | 2.0841 | 0.0000 | 0.0000 | -0.2507 |
Loss per epoch
training
validation
Config
name: reference_bgl3_gcn_contiguousf2 task: dms data: dataset: bgl3 encoding: one_hot,aa_index split_dir: null graph_threshold: 6 split_scheme: contiguous split_fold: 2 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