gb1 · Sequence CNN
reference_gb1_cnn_mr5_contiguousf1_20261105-012120
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 | 0.1729 | 0.9845 | 0.9846 | 0.9654 | 32958.0000 | 0.8698 | 1.0000 | 1.0000 | 1.5801 | 1.8220 | 0.5000 | 0.0000 | 0.9786 | 1.0000 | 1.4883 | 1.8220 | 0.4400 | 0.0000 | 0.9793 | 1.0000 | 1.4627 | 1.8220 | 0.6200 | 0.0000 | 0.9855 | 1.0000 | 1.0934 | 1.8220 | 0.7389 | 0.0000 | 0.9856 |
| validation | 10.7060 | -0.0887 | -0.0490 | -0.9853 | 2090.0000 | -0.3658 | 19665.0000 | 0.0000 | -5.7037 | -5.1516 | 0.0000 | 0.0000 | -0.3615 | 0.0000 | -5.1555 | -2.9504 | 0.0000 | 0.0000 | -0.2703 | 0.0000 | -5.1006 | -2.0822 | 0.0000 | 0.0000 | -0.2651 | 0.0000 | -4.8530 | -0.8564 | 0.0000 | 0.0000 | -0.2236 |
| test | 3.2778 | -0.2101 | -0.2684 | -0.6253 | 5374.0000 | -0.1354 | 17756.0000 | 0.0000 | -2.2984 | -1.1960 | 0.0000 | 0.0000 | -0.5603 | 0.0000 | -2.0743 | -0.1095 | 0.0000 | 0.0000 | -0.4918 | 0.0100 | -2.0084 | 0.3159 | 0.0000 | 0.0000 | -0.4777 | 0.0350 | -1.7738 | 0.4846 | 0.0000 | 0.0000 | -0.3809 |
Loss per epoch
training
validation
Config
name: reference_gb1_cnn_mr5_contiguousf1
task: dms
data:
dataset: gb1
encoding: one_hot,aa_index
split_dir: null
split_scheme: contiguous
split_fold: 1
min_reads: 5
model:
name: cnn
conv:
- - 128
- 17
- - 128
- 17
- - 128
- 17
hidden:
- 100
dropout: 0.2
train:
epochs: 300
batch_size: 32
learning_rate: 0.0001
patience: 15
min_delta: 1.0e-05
seed: 7