avgfp · Fully connected
reference_avgfp_fc_plm_contiguousf3_20261105-040426
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 | 0.5550 | 0.7977 | 0.7831 | 0.4649 | 805.0000 | 0.1665 | 88.0000 | 0.4000 | 3.7374 | 3.9226 | 0.0000 | 0.0000 | 0.7538 | 0.3800 | 3.6782 | 3.9226 | 0.0400 | 0.0000 | 0.7555 | 0.3900 | 3.6777 | 4.1231 | 0.0800 | 0.0000 | 0.7838 | 0.3929 | 3.6768 | 3.9375 | 0.0476 | 0.0000 | 0.7754 |
| validation | 0.4208 | 0.0404 | -0.0700 | -0.0275 | 156.0000 | -0.0190 | 563.0000 | 0.1000 | 3.5840 | 3.7574 | 0.0000 | 0.0000 | 0.3725 | 0.1400 | 3.3243 | 3.8356 | 0.0400 | 0.0000 | -0.1780 | 0.1100 | 3.2960 | 3.8356 | 0.0700 | 0.0000 | -0.2630 | 0.1250 | 3.5839 | 3.7574 | 0.0000 | 0.0000 | 0.3672 |
| test | 0.3094 | -0.0597 | -0.0841 | -0.3067 | 366.0000 | 0.0705 | 997.0000 | 0.0000 | 3.0310 | 3.6224 | 0.0000 | 0.0000 | -0.9413 | 0.2200 | 3.2980 | 3.7909 | 0.0000 | 0.0000 | -0.5658 | 0.1800 | 3.3127 | 4.0314 | 0.0200 | 0.0000 | -0.6003 | 0.0769 | 3.1851 | 3.7238 | 0.0000 | 0.0000 | -0.6725 |
Loss per epoch
training
validation
Config
name: reference_avgfp_fc_plm_contiguousf3 task: dms data: dataset: avgfp encoding: one_hot,aa_index,plm,plm_sum split_dir: null split_scheme: contiguous split_fold: 3 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