avgfp · Graph CNN
reference_avgfp_gcn_plm_contiguousf0_20261104-175403
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 | 0.4062 | 0.7502 | 0.5977 | 0.3645 | 2295.0000 | 0.0862 | 8375.0000 | 0.2000 | 3.6127 | 3.7496 | 0.0000 | 0.0000 | 0.4474 | 0.3400 | 3.6352 | 3.9705 | 0.0400 | 0.0000 | 0.5180 | 0.3600 | 3.6576 | 4.0592 | 0.0300 | 0.0000 | 0.5735 | 0.3456 | 3.6417 | 4.0592 | 0.0294 | 0.0000 | 0.5649 |
| validation | 1.0540 | 0.2766 | 0.3081 | -0.0484 | 60.0000 | -0.0740 | 183.0000 | 0.0000 | 2.7808 | 3.6608 | 0.0000 | 0.0000 | -0.0512 | 0.1400 | 3.0846 | 3.7970 | 0.1000 | 0.0000 | 0.2616 | 0.1400 | 3.2091 | 3.8994 | 0.2500 | 0.0000 | 0.4104 | 0.0000 | 2.7840 | 3.6608 | 0.0000 | 0.0000 | -0.0467 |
| test | 0.6683 | 0.3101 | 0.2149 | 0.0590 | 109.0000 | -0.1485 | 490.0000 | 0.0000 | 2.3630 | 3.5708 | 0.0000 | 0.0000 | -1.0740 | 0.0600 | 2.8845 | 3.7490 | 0.0000 | 0.0000 | -0.4485 | 0.0700 | 3.0935 | 3.9820 | 0.0700 | 0.0000 | -0.1363 | 0.0000 | 2.1960 | 3.5708 | 0.0000 | 0.0000 | -1.2628 |
Loss per epoch
training
validation
Config
name: reference_avgfp_gcn_plm_contiguousf0 task: dms data: dataset: avgfp encoding: one_hot,aa_index,plm,plm_sum split_dir: null graph_threshold: 7 split_scheme: contiguous split_fold: 0 model: name: gcn filters: - 128 - 128 hidden: - 100 dropout: 0.2 train: epochs: 300 batch_size: 32 learning_rate: 0.0001 patience: 15 min_delta: 1.0e-05 seed: 7