gb1 · Linear
reference_gb1_lr_plm_contiguousf0_20261104-175559
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 | 1.0826 | 0.9101 | 0.9346 | 0.8149 | 32275.0000 | 0.8502 | 1190.0000 | 1.0000 | 1.6333 | 1.9362 | 0.0000 | 0.0000 | 0.8943 | 1.0000 | 1.6218 | 2.0942 | 0.1200 | 0.0000 | 0.9282 | 1.0000 | 1.6318 | 2.0942 | 0.1900 | 0.0000 | 0.9467 | 0.9990 | 1.3962 | 2.4539 | 0.7628 | 0.0000 | 0.9859 |
| validation | 3.4764 | -0.1634 | -0.1768 | -0.7227 | 5403.0000 | -0.0164 | 9597.0000 | 0.4000 | -0.5506 | 0.8501 | 0.0000 | 0.0000 | 0.1960 | 0.2800 | -0.8324 | 0.9476 | 0.0000 | 0.0000 | 0.0829 | 0.2500 | -1.1893 | 0.9476 | 0.0000 | 0.0000 | -0.0836 | 0.1990 | -1.2289 | 0.9476 | 0.0050 | 0.0000 | -0.1075 |
| test | 3.0171 | 0.2802 | 0.2259 | 0.0171 | 1866.0000 | 0.0623 | 14509.0000 | 0.0000 | -1.9591 | -0.3920 | 0.0000 | 0.0000 | 0.0159 | 0.0400 | -1.8877 | 0.3348 | 0.0000 | 0.0000 | 0.0426 | 0.0500 | -1.7250 | 0.3348 | 0.0000 | 0.0000 | 0.1033 | 0.0896 | -1.5480 | 0.7343 | 0.0149 | 0.0000 | 0.1732 |
Loss per epoch
training
validation
Config
name: reference_gb1_lr_plm_contiguousf0 task: dms data: dataset: gb1 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