avgfp · Fully connected
reference_avgfp_fc_plm_modulof0_20261104-174947
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 | 0.3258 | 0.9025 | 0.7983 | 0.6339 | 1210.0000 | 0.1899 | 768.0000 | 0.6000 | 3.7256 | 3.8486 | 0.0000 | 0.0000 | 0.6827 | 0.4200 | 3.6901 | 3.8992 | 0.0000 | 0.0000 | 0.7035 | 0.4300 | 3.7041 | 4.0725 | 0.0800 | 0.0000 | 0.7505 | 0.4043 | 3.6963 | 4.0108 | 0.0532 | 0.0000 | 0.7391 |
| validation | 0.5579 | -0.1030 | -0.0774 | -0.1043 | 216.0000 | 0.1366 | 846.0000 | 0.3000 | 3.1398 | 3.8314 | 0.0000 | 0.0000 | -0.2672 | 0.2400 | 3.0846 | 3.8314 | 0.0400 | 0.0000 | -0.4252 | 0.2100 | 3.1684 | 3.9791 | 0.1200 | 0.0000 | -0.2962 | 0.2727 | 3.1542 | 3.8314 | 0.0000 | 0.0000 | -0.2488 |
| test | 0.6132 | -0.0544 | -0.0317 | -0.0790 | 146.0000 | 0.0478 | 103.0000 | 0.0000 | 2.6315 | 3.7031 | 0.0000 | 0.0000 | -1.0663 | 0.1400 | 2.7932 | 3.9546 | 0.0800 | 0.0000 | -0.9655 | 0.1800 | 2.9664 | 4.0087 | 0.1400 | 0.0000 | -0.6964 | 0.0000 | 2.6198 | 3.7031 | 0.0000 | 0.0000 | -1.0528 |
Loss per epoch
training
validation
Config
name: reference_avgfp_fc_plm_modulof0 task: dms data: dataset: avgfp encoding: one_hot,aa_index,plm,plm_sum split_dir: null split_scheme: modulo split_fold: 0 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