avgfp · Fully connected
reference_avgfp_fc_plm_randomf4_20261105-041006
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 | 0.0628 | 0.9732 | 0.8694 | 0.9442 | 2996.0000 | 0.2814 | 1097.0000 | 0.9000 | 3.8180 | 3.9563 | 0.0000 | 0.0000 | 0.8079 | 0.8000 | 3.8117 | 4.0860 | 0.1200 | 0.0000 | 0.8497 | 0.7500 | 3.7957 | 4.1136 | 0.1500 | 0.0000 | 0.8599 | 0.6481 | 3.7698 | 4.1145 | 0.2068 | 0.0000 | 0.8834 |
| validation | 0.0823 | 0.9641 | 0.8612 | 0.9272 | 1035.0000 | 0.2368 | 17.0000 | 0.6000 | 3.7381 | 3.8937 | 0.0000 | 0.0000 | 0.7817 | 0.6200 | 3.7204 | 4.1068 | 0.1400 | 0.0000 | 0.8098 | 0.6600 | 3.7419 | 4.1068 | 0.1800 | 0.0000 | 0.8535 | 0.6759 | 3.7443 | 4.1068 | 0.1667 | 0.0000 | 0.8583 |
| test | 0.0768 | 0.9664 | 0.8662 | 0.9313 | 1013.0000 | 0.2593 | 331.0000 | 0.6000 | 3.7283 | 3.9122 | 0.0000 | 0.0000 | 0.7873 | 0.7000 | 3.7744 | 4.0139 | 0.1600 | 0.0000 | 0.8570 | 0.6300 | 3.7639 | 4.0292 | 0.2200 | 0.0000 | 0.8722 | 0.6204 | 3.7579 | 4.0292 | 0.2130 | 0.0000 | 0.8703 |
Loss per epoch
training
validation
Config
name: reference_avgfp_fc_plm_randomf4 task: dms data: dataset: avgfp encoding: one_hot,aa_index,plm,plm_sum split_dir: null split_scheme: random split_fold: 4 model: name: fcn hidden: - 100 - 100 - 100 dropout: 0.2 train: epochs: 300 batch_size: 32 learning_rate: 0.0001 patience: 15 min_delta: 1.0e-05 seed: 7