avgfp · Linear
reference_avgfp_lr_plm_contiguousf0_20261104-175409
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 | 0.4451 | 0.6518 | 0.5337 | 0.3036 | 2295.0000 | 0.1236 | 1728.0000 | 0.1000 | 3.6337 | 3.8311 | 0.0000 | 0.0000 | 0.4725 | 0.2200 | 3.6057 | 3.9104 | 0.0000 | 0.0000 | 0.4796 | 0.2600 | 3.6059 | 3.9104 | 0.0000 | 0.0000 | 0.5029 | 0.2721 | 3.6197 | 3.9104 | 0.0147 | 0.0000 | 0.5342 |
| validation | 1.1997 | -0.0074 | 0.0220 | -0.1933 | 60.0000 | 0.0295 | 120.0000 | 0.1000 | 2.3330 | 3.7548 | 0.0000 | 0.0000 | -0.4730 | 0.0800 | 2.8457 | 3.7970 | 0.0600 | 0.0000 | 0.0110 | 0.1100 | 2.7945 | 3.9912 | 0.1400 | 0.0000 | -0.0446 | 0.0000 | 2.4337 | 3.5496 | 0.0000 | 0.0000 | -0.3666 |
| test | 0.8148 | -0.0095 | 0.0990 | -0.1474 | 109.0000 | 0.1619 | 223.0000 | 0.1000 | 2.5095 | 3.7682 | 0.0000 | 0.0000 | -0.8805 | 0.1400 | 2.7355 | 3.8998 | 0.0800 | 0.0000 | -0.6773 | 0.1700 | 3.0132 | 3.9178 | 0.1600 | 0.0000 | -0.2683 | 0.0000 | 2.0217 | 3.4981 | 0.0000 | 0.0000 | -1.4874 |
Loss per epoch
training
validation
Config
name: reference_avgfp_lr_plm_contiguousf0 task: dms data: dataset: avgfp encoding: one_hot,aa_index,plm,plm_sum split_dir: null split_scheme: contiguous split_fold: 0 model: name: lr train: epochs: 300 batch_size: 128 learning_rate: 0.0001 patience: 15 min_delta: 1.0e-05 seed: 7