avgfp · Linear
reference_avgfp_lr_contiguousf0_20261104-144901
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 | captured_at_10 | hit_rate_at_50 | mean_at_50 | max_at_50 | precision_at_50 | captured_at_50 | hit_rate_at_100 | mean_at_100 | max_at_100 | precision_at_100 | captured_at_100 | hit_rate_at_1pct | mean_at_1pct | max_at_1pct | precision_at_1pct | captured_at_1pct | ||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| train | 0.5544 | 0.4218 | 0.3295 | 0.1326 | 2295.0000 | 0.0945 | 2334.0000 | 0.1000 | 3.3665 | 3.7704 | 0.0000 | 0.1541 | 0.2600 | 3.4563 | 3.9620 | 0.0200 | 0.2853 | 0.1800 | 3.3572 | 3.9620 | 0.0200 | 0.1637 | 0.2206 | 3.3441 | 3.9620 | 0.0221 | 0.1493 | ||||
| validation | 1.2247 | -0.1583 | -0.0948 | -0.2182 | 60.0000 | -0.2086 | 414.0000 | 0.0000 | 1.4549 | 1.8550 | 0.0000 | 0.0000 | -1.3001 | 0.0400 | 1.9632 | 3.7520 | 0.0400 | 0.0000 | -0.9143 | 0.0800 | 2.4164 | 3.8678 | 0.1600 | 0.0000 | -0.4595 | 0.0000 | 1.4608 | 1.8550 | 0.0000 | 0.0000 | -1.2554 |
| test | 0.8346 | -0.1378 | -0.0755 | -0.1751 | 109.0000 | 0.1002 | 137.0000 | 0.2000 | 2.6021 | 3.8655 | 0.0000 | 0.0000 | -0.7584 | 0.1800 | 2.6978 | 3.9178 | 0.0600 | 0.0000 | -0.7351 | 0.1700 | 2.8342 | 3.9178 | 0.1600 | 0.0000 | -0.5622 | 0.2857 | 2.2598 | 3.8655 | 0.0000 | 0.0000 | -1.1807 |
Loss per epoch
training
validation
Config
name: reference_avgfp_lr_contiguousf0 task: dms data: dataset: avgfp encoding: one_hot,aa_index 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