<null> | brookeryan Workspace – Weights & Biases

Skip to main content

Brookeryan's group workspace

Group: <null>

1-20

of 132

Tags

Notes

Author

State

Finished

Start time

June 14th, 2021 1:45:08 AM

Runtime

4m 50s

Tracked hours

4m 39s

Run path

brookeryan/Visual_Acuity/39zvw85a

OS

Linux-3.10.0-1160.24.1.el7.x86_64-x86_64-with-glibc2.31

Python version

3.9.4

Command

/home/brooker/VisualAcuity/src/main.py

System Hardware

CPU count	128
GPU count	4
GPU type	NVIDIA GeForce RTX 3090

W&B CLI Version

0.10.31

Config parameters are your model's inputs. Learn more

▶
Config parameters:{} 13 keys
- activation:
  "softmax"
- batch_size:
  32
- channels:
  3
- epochs:
  5
- height:
  400
- loss:
  "sparse_categorical_crossentropy"
- metrics:
  "accuracy"
- num_optotypes:
  59
- optimizer:
  "adam"
- project:
  "Visual_Acuity"
- validation_split:
  0.2
- weights:
  "imagenet"
- width:
  400

Summary metrics are your model's outputs. Learn more

▶
Summary metrics:{} 11 keys
- global_step:
  1,705
- Test Accuracy:
  0.1941717267036438
- Test Loss:
  3.61146092414856
- train/epoch_accuracy:
  0.8243615627288818
- train/epoch_loss:
  0.6858237981796265
- train/global_step:
  4
- validation/epoch_accuracy:
  0.8644379377365112
- validation/epoch_loss:
  0.5993401408195496
- validation/evaluation_accuracy_vs_iterations:
  0.8644379377365112
- validation/evaluation_loss_vs_iterations:
  0.5993401408195496
- validation/global_step:
  4

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

run-39zvw85a-history:v0

Loading...