gb1 · Sequence CNN
reference_gb1_cnn_mr5_modulof1_20261105-011420
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 | 0.2923 | 0.9779 | 0.9783 | 0.9429 | 34869.0000 | 0.8774 | 119.0000 | 1.0000 | 1.6364 | 1.7859 | 0.0000 | 0.0000 | 0.8851 | 1.0000 | 1.6661 | 2.0888 | 0.1400 | 0.0000 | 0.9373 | 1.0000 | 1.6477 | 2.0942 | 0.2600 | 0.0000 | 0.9520 | 1.0000 | 1.3881 | 2.5295 | 0.7710 | 0.0000 | 0.9863 |
| validation | 9.0726 | -0.2259 | -0.2529 | -1.0437 | 1542.0000 | 0.0672 | 12336.0000 | 0.0000 | -4.6475 | -2.5921 | 0.0000 | 0.0000 | -0.5034 | 0.0000 | -4.7338 | -2.5921 | 0.0000 | 0.0000 | -0.5485 | 0.0000 | -4.5521 | -1.4013 | 0.0000 | 0.0000 | -0.5071 | 0.0000 | -4.3237 | -0.8403 | 0.0000 | 0.0000 | -0.4519 |
| test | 7.0115 | -0.0035 | -0.0307 | -0.2093 | 4369.0000 | -0.0084 | 16778.0000 | 0.0000 | -1.0737 | -0.2427 | 0.0000 | 0.0000 | 0.3393 | 0.0000 | -2.1463 | -0.0935 | 0.0000 | 0.0000 | 0.0621 | 0.0100 | -2.2664 | 0.0142 | 0.0000 | 0.0000 | 0.0300 | 0.0404 | -2.1850 | 0.7138 | 0.0000 | 0.0000 | 0.0540 |
Loss per epoch
training
validation
Config
name: reference_gb1_cnn_mr5_modulof1
task: dms
data:
dataset: gb1
encoding: one_hot,aa_index
split_dir: null
split_scheme: modulo
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