bgl3 · Sequence CNN
reference_bgl3_cnn_mr5_contiguousf2_20261104-222120
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 | 1.6794 | 0.5825 | 0.6445 | 0.0499 | 152.0000 | -0.0401 | 344.0000 | 0.3000 | -0.7571 | 0.2595 | 0.0000 | 0.0000 | 0.3727 | 0.1200 | -0.7951 | 0.3347 | 0.0800 | 0.0000 | 0.4062 | 0.1200 | -0.6660 | 0.3347 | 0.1000 | 0.0000 | 0.5044 | 0.1250 | -0.8579 | 0.2595 | 0.0312 | 0.0000 | 0.3587 |
| validation | 1.8145 | -0.2077 | -0.1729 | -0.0041 | 38.0000 | 0.0616 | 488.0000 | 0.0000 | -3.0769 | -1.5506 | 0.0000 | 0.0000 | -0.7168 | 0.0200 | -2.7479 | 0.0267 | 0.0200 | 0.0000 | -0.7164 | 0.0200 | -2.2634 | 0.4161 | 0.0700 | 0.0000 | -0.4722 | 0.0000 | -2.8703 | -0.8034 | 0.0000 | 0.0000 | -0.6292 |
| test | 1.9721 | -0.1605 | -0.1575 | -0.0346 | 26.0000 | -0.3463 | 721.0000 | 0.0000 | -2.3940 | -0.2800 | 0.0000 | 0.0000 | -0.3097 | 0.0200 | -2.5333 | 0.0588 | 0.0200 | 0.0000 | -0.4298 | 0.0100 | -2.5020 | 0.0588 | 0.0500 | 0.0000 | -0.4412 | 0.0000 | -2.5420 | -0.2800 | 0.0000 | 0.0000 | -0.3859 |
Loss per epoch
training
validation
Config
name: reference_bgl3_cnn_mr5_contiguousf2
task: dms
data:
dataset: bgl3
encoding: one_hot,aa_index
split_dir: null
split_scheme: contiguous
split_fold: 2
min_reads: 5
model:
name: cnn
conv:
- - 32
- 17
hidden:
- 100
dropout: 0.2
train:
epochs: 300
batch_size: 64
learning_rate: 0.0001
patience: 15
min_delta: 1.0e-05
seed: 7