BaselineCNN | moritzm00 Workspace – Weights & Biases

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Moritzm00's group workspace

Group: BaselineCNN

1-3

of 3

Tags

Notes

Tags

BaselineCNNv1

Author

State

Finished

Start time

May 3rd, 2023 2:07:51 PM

Runtime

15m 10s

Tracked hours

15m 3s

Run path

moritzm00/UTKFace-Age-Regression/61jps3pm

OS

Linux-5.4.0-122-generic-x86_64-with-glibc2.31

Python version

3.9.16

Git repository

git clone https://github.com/MoritzM00/AgePrediction-UTKFace.git

Git state

git checkout -b "dutiful-universe-64" 36ae07db172ae631ceba684e84948b49ef0fa2aa

Command

/usr/local/bin/train -m model=baselinecnn optimizer=adam,adamw train.target_size=[128,128],[64,64]

System Hardware

CPU count	8
Logical CPU count	8
GPU count	1
GPU type	Quadro RTX 5000

W&B CLI Version

0.15.1

Group

Config parameters are your model's inputs. Learn more

▶
Config parameters:{} 12 keys
- ▶
  augment:{} 2 keys
  - active:
    true
  - ▶
    factors:{} 4 keys
    - random_brightness:
      null
    - random_flip:
      "horizontal"
    - random_rotation:
      0.1
    - random_translation:
      0.1
- ▶
  callbacks:{} 7 keys
- ckpt_dir:
  "ckpts"
- data_dir:
  "data"
- ▶
  dataset:{} 5 keys
- log_dir:
  "logs"
- ▶
  lr_schedule:{} 2 keys
  - ▶
    stage_1:{} 4 keys
    - _target_:
      "tensorflow.keras.optimizers.schedules.ExponentialDecay"
    - decay_rate:
      0.96
    - decay_steps:
      100,000
    - initial_learning_rate:
      0.001
  - ▶
    stage_2:{} 4 keys
    - _target_:
      "tensorflow.keras.optimizers.schedules.ExponentialDecay"
    - decay_rate:
      0.99
    - decay_steps:
      100,000
    - initial_learning_rate:
      0.00001
- ▶
  model:{} 7 keys
- model_dir:
  "models"
- ▶
  optimizer:{} 2 keys
  - _partial_:
    true
  - _target_:
    "tensorflow.keras.optimizers.Adam"
- ▶
  train:{} 7 keys
- ▶
  wandb:{} 9 keys

Summary metrics are your model's outputs. Learn more

▶
Summary metrics:{} 6 keys
- epoch/epoch:
  49
- epoch/learning_rate:
  0.0009879692224785686
- epoch/loss:
  8.292171478271484
- epoch/mae:
  8.292171478271484
- epoch/val_loss:
  8.313167572021484
- epoch/val_mae:
  8.313167572021484

This run consumed these artifacts as inputs. Learn more

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This run produced these artifacts as outputs. Total: 52. Learn more