avgfp · Sequence CNN
reference_avgfp_cnn_plm_contiguousf0_20261104-175345
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 | 0.6106 | 0.3631 | 0.4020 | 0.0446 | 2295.0000 | 0.0424 | 5158.0000 | 0.5000 | 3.7085 | 3.8319 | 0.0000 | 0.0000 | 0.5616 | 0.4600 | 3.7110 | 3.9633 | 0.0200 | 0.0000 | 0.6166 | 0.4600 | 3.7114 | 3.9633 | 0.0200 | 0.0000 | 0.6469 | 0.4412 | 3.7098 | 4.0663 | 0.0294 | 0.0000 | 0.6600 |
| validation | 1.0895 | 0.1666 | 0.1688 | -0.0837 | 60.0000 | -0.0233 | 37.0000 | 0.3000 | 3.3847 | 3.7696 | 0.0000 | 0.0000 | 0.5176 | 0.2200 | 3.2229 | 3.9923 | 0.1800 | 0.0000 | 0.4066 | 0.1300 | 3.1946 | 3.9923 | 0.2400 | 0.0000 | 0.3945 | 0.1667 | 3.2000 | 3.7618 | 0.0000 | 0.0000 | 0.3332 |
| test | 0.6751 | 0.3277 | 0.2790 | 0.0494 | 109.0000 | 0.0202 | 7.0000 | 0.3000 | 3.6922 | 3.9961 | 0.2000 | 0.0000 | 0.6807 | 0.2800 | 3.6528 | 3.9961 | 0.1600 | 0.0000 | 0.7314 | 0.2400 | 3.6090 | 3.9961 | 0.2300 | 0.0000 | 0.7101 | 0.4286 | 3.7125 | 3.9961 | 0.1429 | 0.0000 | 0.6903 |
Loss per epoch
training
validation
Config
name: reference_avgfp_cnn_plm_contiguousf0
task: dms
data:
dataset: avgfp
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: 64
learning_rate: 0.001
patience: 15
min_delta: 1.0e-05
seed: 7