bgl3 · Sequence CNN
reference_bgl3_cnn_mr5_contiguousf0_20261104-221729
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 | 1.9660 | 0.5812 | 0.6328 | 0.0010 | 156.0000 | -0.0181 | 211.0000 | 0.2000 | -1.1141 | 0.1063 | 0.0000 | 0.0000 | 0.2358 | 0.1800 | -0.8526 | 0.4161 | 0.1000 | 0.0000 | 0.4033 | 0.1500 | -0.6359 | 0.4161 | 0.1200 | 0.0000 | 0.5432 | 0.1714 | -0.9582 | 0.3347 | 0.0571 | 0.0000 | 0.3401 |
| validation | 1.4494 | -0.1713 | -0.1237 | -0.0101 | 40.0000 | 0.2093 | 867.0000 | 0.0000 | -2.4209 | -0.5254 | 0.0000 | 0.0000 | -0.6865 | 0.0200 | -2.0531 | 0.2858 | 0.0200 | 0.0000 | -0.5840 | 0.0300 | -1.8704 | 0.2858 | 0.0700 | 0.0000 | -0.4921 | 0.0000 | -2.4522 | -0.5254 | 0.0000 | 0.0000 | -0.6932 |
| test | 1.9466 | -0.1532 | -0.1416 | -0.1464 | 21.0000 | 0.4722 | 453.0000 | 0.0000 | -2.7825 | -0.4520 | 0.0000 | 0.0000 | -0.4419 | 0.0000 | -2.8170 | -0.0843 | 0.0200 | 0.0000 | -0.5257 | 0.0100 | -2.7061 | 0.2750 | 0.0300 | 0.0000 | -0.4985 | 0.0000 | -2.8455 | -0.4520 | 0.0000 | 0.0000 | -0.4781 |
Loss per epoch
training
validation
Config
name: reference_bgl3_cnn_mr5_contiguousf0
task: dms
data:
dataset: bgl3
encoding: one_hot,aa_index
split_dir: null
split_scheme: contiguous
split_fold: 0
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