cnnrnn-sweep-grid-offset | thesis Workspace – Weights & Biases

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Group: cnnrnn-sweep-grid-offset

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Tags

Notes

Author

State

Failed

Start time

May 10th, 2021 11:15:00 AM

Sweep

Runtime

3m

Tracked hours

-

Run path

nbvanting/thesis/j4ellk8v

OS

Linux-4.19.112+-x86_64-with-Ubuntu-18.04-bionic

Python version

3.7.10

Command

Thesis - Grid Search Sweep -f /root/.local/share/jupyter/runtime/kernel-67355e16-465a-49f9-8faf-dafe9cf60297.json

System Hardware

CPU count	2
GPU count	1
GPU type	Tesla T4

W&B CLI Version

0.10.30

Group

cnnrnn-sweep-grid-offset

Config parameters are your model's inputs. Learn more

▶
Config parameters:{} 16 keys
- activation_cnn:
  "relu"
- activation_gru:
  "tanh"
- batch_size:
  224
- cnn_layer_size_1:
  176
- dataset:
  "kolding"
- dropout:
  0.4
- epochs:
  30
- gru_layer_size_1:
  96
- kernelsize:
  7
- learning_rate:
  0.04
- lookback:
  744
- momentum:
  0.9
- num_features:
  9
- optimizer:
  "sgd"
- splitmethod:
  "offset"
- splitrate:
  0.8

Summary metrics are your model's outputs. Learn more

▶
Summary metrics:{} 10 keys
- best_epoch:
  28
- best_val_loss:
  0.09245653450489044
- epoch:
  29
- ▶
  graph:{} 4 keys
  - _type:
    "graph-file"
  - path:
    "media/graph/graph_summary_4cc744f3.graph.json"
  - sha256:
    "4cc744f3ea0cba831b6022433c61a8e8f69b7936a8f18436ced6c21246b04a7c"
  - size:
    858
- loss:
  0.08054903894662857
- mae:
  0.21797429025173187
- test_loss:
  0.15061761438846588
- test_mae:
  0.29244083166122437
- val_loss:
  0.09512023627758026
- val_mae:
  0.23899663984775543

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

run-j4ellk8v-history:v0

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