ube4b · Sequence CNN
reference_ube4b_cnn_plm_contiguousf0_20261104-175823
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 | 3.0246 | 0.5779 | 0.5393 | 0.2756 | 4241.0000 | 0.3946 | 628.0000 | 1.0000 | 4.7043 | 5.4772 | 0.0000 | 0.0000 | 0.7232 | 1.0000 | 4.3054 | 6.2832 | 0.1000 | 0.0000 | 0.7719 | 1.0000 | 4.1082 | 7.7437 | 0.2600 | 0.0000 | 0.8039 | 0.9953 | 3.7183 | 7.7437 | 0.3991 | 0.0000 | 0.8224 |
| validation | 3.2654 | 0.2969 | 0.3193 | 0.0799 | 458.0000 | -0.1041 | 2062.0000 | 0.5000 | -0.2056 | 1.0388 | 0.0000 | 0.0000 | 0.2576 | 0.4600 | -0.2424 | 3.4686 | 0.0200 | 0.0000 | 0.3131 | 0.4300 | -0.2678 | 3.4686 | 0.0900 | 0.0000 | 0.3497 | 0.5769 | 0.0562 | 3.4686 | 0.0385 | 0.0000 | 0.3419 |
| test | 2.1938 | 0.2271 | 0.1659 | 0.0344 | 1218.0000 | 0.0232 | 44.0000 | 0.4000 | -0.2146 | 1.8717 | 0.0000 | 0.0000 | 0.1161 | 0.3600 | -0.3017 | 5.6421 | 0.0200 | 0.0000 | 0.1229 | 0.3200 | -0.5473 | 5.6421 | 0.0200 | 0.0000 | 0.0740 | 0.3256 | -0.4681 | 1.8717 | 0.0000 | 0.0000 | 0.0809 |
Loss per epoch
training
validation
Config
name: reference_ube4b_cnn_plm_contiguousf0
task: dms
data:
dataset: ube4b
encoding: one_hot,aa_index,plm,plm_sum
split_dir: null
split_scheme: contiguous
split_fold: 0
model:
name: cnn
conv:
- - 128
- 3
- - 128
- 3
- - 128
- 3
- - 128
- 3
- - 128
- 3
hidden:
- 100
dropout: 0.2
train:
epochs: 300
batch_size: 128
learning_rate: 0.0001
patience: 15
min_delta: 1.0e-05
seed: 7