20221020_1631 | my_vae Overview – Weights & Biases

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Kimsehun725's group workspace

Group: 20221020_1631

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Tags

Notes

Author

State

Finished

Start time

October 20th, 2022 8:15:31 AM

Runtime

6m 6s

Tracked hours

5m 58s

Run path

kimsehun725/my_vae/27pdj8ow

OS

Linux-3.10.0-1062.9.1.el7.x86_64-x86_64-with-glibc2.29

Python version

3.8.10

Command

src/train.py

System Hardware

CPU count	80
GPU count	2
GPU type	Tesla V100-PCIE-32GB

W&B CLI Version

0.13.4

Group

Job Type

vae_classifier_tset05

Config parameters are your model's inputs. Learn more

▶
Config parameters:{} 21 keys
- args/baseline:
  false
- args/baseline_epochs:
  192
- args/baseline_lr:
  0.005
- args/bins_per_octave:
  24
- args/classifier_epochs:
  64
- args/classifier_lr:
  0.005
- args/down_sampling_rate:
  22,050
- args/estimator_feature_type:
  "cqt"
- args/estimator_normalize_input:
  false
- args/hop_length:
  512
- args/lr:
  0.005
- args/n_bins:
  192
- args/pretrain_feature_type:
  "db_cqt"
- args/pretrain_lr:
  0.05
- args/pretrain_normalize_input:
  true
- args/step2_epochs:
  200
- args/step3_epochs:
  192
- args/train_ratio:
  0.9
- h_dim:
  384
- pretrained_model_path:
  "trained_model/20221017_2215_pretrain/test05/epoch=191.ckpt"
- z_dim:
  60

Summary metrics are your model's outputs. Learn more

▶
Summary metrics:{} 12 keys
- epoch:
  64
- lr-RAdam:
  0.000625
- test/loss:
  1.7656056880950928
- test/sa_f1:
  0.7714998722076416
- test/sa_precision:
  0.7746618986129761
- test/sa_recall:
  0.7684009075164795
- train/loss:
  1.252457857131958
- trainer/global_step:
  1,984
- val/loss:
  1.3299297094345093
- val/sa_f1:
  0.8454906344413757
- val/sa_precision:
  0.8612023591995239
- val/sa_recall:
  0.8303742408752441

This run produced these artifacts as outputs. Total: 1. Learn more

run-27pdj8ow-history:v0

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