avgfp · Fully connected
reference_avgfp_fc_plm_modulof4_20261105-042211
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 | 0.3159 | 0.8397 | 0.7741 | 0.6504 | 1414.0000 | 0.1832 | 3204.0000 | 0.4000 | 3.7336 | 3.9081 | 0.0000 | 0.0000 | 0.6874 | 0.5600 | 3.7502 | 4.1079 | 0.0800 | 0.0000 | 0.7622 | 0.5000 | 3.7369 | 4.1079 | 0.1100 | 0.0000 | 0.7825 | 0.4587 | 3.7285 | 4.1079 | 0.1101 | 0.0000 | 0.7781 |
| validation | 0.5735 | 0.1011 | 0.0386 | -0.0092 | 146.0000 | 0.0327 | 86.0000 | 0.2000 | 2.6314 | 3.9306 | 0.1000 | 0.0000 | -1.0664 | 0.1800 | 3.1919 | 3.9546 | 0.1000 | 0.0000 | -0.2205 | 0.2000 | 3.2757 | 4.0192 | 0.1400 | 0.0000 | -0.0693 | 0.1429 | 2.5644 | 3.8057 | 0.0000 | 0.0000 | -1.1373 |
| test | 0.5326 | -0.0262 | -0.0521 | -0.0621 | 152.0000 | 0.1397 | 420.0000 | 0.0000 | 2.0513 | 3.6174 | 0.0000 | 0.0000 | -2.1142 | 0.0400 | 2.6763 | 3.8240 | 0.0400 | 0.0000 | -1.2779 | 0.1300 | 2.9860 | 3.8289 | 0.1200 | 0.0000 | -0.7298 | 0.0000 | 2.2123 | 3.6174 | 0.0000 | 0.0000 | -1.8156 |
Loss per epoch
training
validation
Config
name: reference_avgfp_fc_plm_modulof4 task: dms data: dataset: avgfp encoding: one_hot,aa_index,plm,plm_sum split_dir: null split_scheme: modulo 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