avgfp · Linear
reference_avgfp_lr_contiguousf1_20261104-153954
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 | 0.7963 | -0.0341 | 0.0128 | -0.1645 | 1898.0000 | 0.0812 | 10464.0000 | 0.0000 | 1.9022 | 3.3368 | 0.0000 | -1.4928 | 0.1000 | 2.2156 | 3.8829 | 0.0000 | -1.2252 | 0.1100 | 2.3508 | 4.0314 | 0.0200 | -1.1115 | 0.1273 | 2.3505 | 4.0314 | 0.0273 | -1.1202 | ||||
| validation | 0.5695 | -0.0432 | -0.1025 | -0.1410 | 142.0000 | -0.0265 | 999.0000 | 0.0000 | 2.6879 | 3.6974 | 0.0000 | 0.0000 | -1.0657 | 0.0400 | 3.1444 | 3.8421 | 0.0200 | 0.0000 | -0.3516 | 0.0400 | 3.1154 | 3.8421 | 0.0200 | 0.0000 | -0.4415 | 0.0000 | 2.7619 | 3.6974 | 0.0000 | 0.0000 | -0.9503 |
| test | 1.3576 | -0.1447 | -0.0831 | -0.3503 | 60.0000 | -0.2008 | 415.0000 | 0.0000 | 1.4549 | 1.8550 | 0.0000 | 0.0000 | -1.3001 | 0.0400 | 1.9589 | 3.7520 | 0.0400 | 0.0000 | -0.9188 | 0.0800 | 2.4164 | 3.8678 | 0.1600 | 0.0000 | -0.4595 | 0.0000 | 1.4608 | 1.8550 | 0.0000 | 0.0000 | -1.2554 |
Loss per epoch
training
validation
Config
name: reference_avgfp_lr_contiguousf1 task: dms data: dataset: avgfp encoding: one_hot,aa_index split_dir: null split_scheme: contiguous split_fold: 1 model: name: lr train: epochs: 300 batch_size: 128 learning_rate: 0.0001 patience: 15 min_delta: 1.0e-05 seed: 7