experiment test_wbcallback | brookeryan Overview – Weights & Biases

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Group: experiment test_wbcallback

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Tags

Notes

Author

State

Crashed

Start time

June 15th, 2021 3:30:52 AM

Runtime

6m 2s

Tracked hours

6m 3s

Run path

brookeryan/Visual_Acuity/1yh6mw7b

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 test_wbcallback

System Hardware

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

W&B CLI Version

0.10.31

Group

experiment test_wbcallback

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:{} 19 keys
- accuracy:
  0.11473452299833298
- best_epoch:
  1
- best_val_loss:
  3.4057981967926025
- epoch:
  1
- global_step:
  682
- ▶
  graph:{} 4 keys
  - _type:
    "graph-file"
  - path:
    "media/graph/graph_summary_8cb94706.graph.json"
  - sha256:
    "8cb94706ea81f63d61135053c632337642f23d40eaddea6271bd0f273844335e"
  - size:
    10,803
- ▶
  High Distortion predictions during training:{} 6 keys
- loss:
  3.56036639213562
- ▶
  Low Distortion predictions during training:{} 6 keys
- train/epoch_accuracy:
  0.17031049728393555
- train/epoch_loss:
  3.313605546951294
- train/global_step:
  2
- val_accuracy:
  0.1542983055114746
- val_loss:
  3.4057981967926025
- validation/epoch_accuracy:
  0.1542983055114746
- validation/epoch_loss:
  3.4057981967926025
- validation/evaluation_accuracy_vs_iterations:
  0.1542983055114746
- validation/evaluation_loss_vs_iterations:
  3.4057981967926025
- validation/global_step:
  1

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

run-1yh6mw7b-history:v0

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