avgfp · Fully connected
reference_avgfp_fc_plm_contiguousf4_20261105-043216
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 | 0.2858 | 0.8629 | 0.7941 | 0.6869 | 1613.0000 | 0.2195 | 2761.0000 | 0.5000 | 3.7678 | 3.9705 | 0.0000 | 0.0000 | 0.7192 | 0.4800 | 3.7168 | 4.1079 | 0.0600 | 0.0000 | 0.7181 | 0.5100 | 3.7257 | 4.1079 | 0.0800 | 0.0000 | 0.7571 | 0.4915 | 3.7165 | 4.1079 | 0.0678 | 0.0000 | 0.7545 |
| validation | 0.6938 | 0.1969 | 0.0840 | 0.0231 | 109.0000 | 0.0796 | 205.0000 | 0.0000 | 2.4364 | 3.5958 | 0.0000 | 0.0000 | -0.9771 | 0.1800 | 2.9401 | 3.9178 | 0.1200 | 0.0000 | -0.3631 | 0.1300 | 3.0124 | 3.9178 | 0.1300 | 0.0000 | -0.2696 | 0.0000 | 2.5600 | 3.4611 | 0.0000 | 0.0000 | -0.7940 |
| test | 0.4471 | -0.0227 | -0.1040 | -0.0917 | 156.0000 | 0.0689 | 634.0000 | 0.2000 | 3.2656 | 3.7706 | 0.0000 | 0.0000 | -0.2767 | 0.1600 | 3.3372 | 3.8356 | 0.0200 | 0.0000 | -0.1482 | 0.1500 | 3.2568 | 3.8822 | 0.0900 | 0.0000 | -0.3609 | 0.2500 | 3.2380 | 3.7706 | 0.0000 | 0.0000 | -0.3284 |
Loss per epoch
training
validation
Config
name: reference_avgfp_fc_plm_contiguousf4 task: dms data: dataset: avgfp encoding: one_hot,aa_index,plm,plm_sum split_dir: null split_scheme: contiguous 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