gb1 · Linear
reference_gb1_lr_plm_randomf0_20261104-174539
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 | 0.7083 | 0.9293 | 0.9634 | 0.8636 | 56570.0000 | 0.8008 | 1047.0000 | 1.0000 | 1.7334 | 2.0942 | 0.1000 | 0.0000 | 0.9091 | 1.0000 | 1.6047 | 2.0942 | 0.0400 | 0.0000 | 0.9169 | 1.0000 | 1.6028 | 2.1110 | 0.1900 | 0.0000 | 0.9356 | 0.9994 | 1.2802 | 2.2859 | 0.7581 | 0.0000 | 0.9815 |
| validation | 0.7228 | 0.9281 | 0.9625 | 0.8614 | 18879.0000 | 0.8089 | 37.0000 | 1.0000 | 1.7035 | 1.9240 | 0.0000 | 0.0000 | 0.9070 | 1.0000 | 1.6740 | 2.5295 | 0.3600 | 0.0000 | 0.9570 | 1.0000 | 1.6283 | 2.5295 | 0.5200 | 0.0000 | 0.9678 | 0.9991 | 1.2885 | 2.5295 | 0.7565 | 0.0000 | 0.9811 |
| test | 0.7202 | 0.9282 | 0.9627 | 0.8615 | 18587.0000 | 0.7940 | 547.0000 | 1.0000 | 1.7069 | 1.9951 | 0.1000 | 0.0000 | 0.9242 | 1.0000 | 1.6406 | 1.9951 | 0.3200 | 0.0000 | 0.9520 | 1.0000 | 1.6132 | 1.9951 | 0.4700 | 0.0000 | 0.9660 | 0.9991 | 1.2718 | 2.4539 | 0.7621 | 0.0000 | 0.9807 |
Loss per epoch
training
validation
Config
name: reference_gb1_lr_plm_randomf0 task: dms data: dataset: gb1 encoding: one_hot,aa_index,plm,plm_sum split_dir: null split_scheme: random 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