Sweep-mqnijd7s | visionpod Overview – Weights & Biases

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Justingoheen's group workspace

Group: Sweep-mqnijd7s

1-2

of 2

Tags

Notes

Author

State

Finished

Start time

March 24th, 2023 12:19:34 PM

Sweep

Runtime

4m 42s

Tracked hours

4m 35s

Run path

justingoheen/visionpod/01m9k5fs

W&B CLI Version

0.14.0

Group

Config parameters are your model's inputs. Learn more

▶
Config parameters:{} 12 keys
- accuracy_task:
  "multiclass"
- attention_dropout:
  0.2672306821913779
- conv_stem_configs:
  null
- dropout:
  0.4209007574455845
- image_size:
  32
- lr:
  0.08331291492053539
- norm_layer:
  null
- num_classes:
  10
- optimizer:
  "RMSprop"
- progress:
  false
- vit_type:
  "b_32"
- weights:
  false

Summary metrics are your model's outputs. Learn more

▶
Summary metrics:{} 5 keys
- epoch:
  1
- trainer/global_step:
  625
- training_loss:
  3.0337886810302734
- val_acc:
  0.09640000760555267
- val_loss:
  2.605229139328003

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

run-01m9k5fs-history:v0

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