cnnrnn-sweep-2 | thesis Workspace – Weights & Biases

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Group: cnnrnn-sweep-2

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Tags

Notes

Author

State

Finished

Start time

May 4th, 2021 2:10:25 PM

Sweep

Runtime

5m 7s

Tracked hours

5m 2s

Run path

nbvanting/thesis/0hve4i6f

OS

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

Python version

3.7.10

Command

Thesis - Sweep Run.ipynb

System Hardware

CPU count	2
GPU count	1
GPU type	Tesla K80

W&B CLI Version

0.10.29

Group

Config parameters are your model's inputs. Learn more

▶
Config parameters:{} 17 keys
- activation_cnn:
  "relu"
- activation_gru:
  "tanh"
- batch_size:
  228
- cnn_layer_size_1:
  72
- cnn_layer_size_2:
  108
- dataset:
  "strib"
- dropout:
  0.31319689903594367
- epochs:
  25
- gru_layer_size_1:
  52
- gru_layer_size_2:
  195
- learning_rate:
  0.021255024851860732
- lookback:
  744
- momentum:
  0.9883851258798676
- num_cnn_layers:
  2
- num_features:
  9
- num_gru_layers:
  2
- optimizer:
  "sgd"

Summary metrics are your model's outputs. Learn more

▶
Summary metrics:{} 10 keys
- best_epoch:
  16
- best_val_loss:
  0.08919692784547806
- epoch:
  24
- ▶
  graph:{} 4 keys
  - _type:
    "graph-file"
  - path:
    "media/graph/graph_summary_6f02b6b2.graph.json"
  - sha256:
    "6f02b6b2b6cf064eb91ca2583a36e3f05e3ba2c3c46ed4ded4778849b8822c98"
  - size:
    2,074
- loss:
  0.090301513671875
- mae:
  0.228239968419075
- mape:
  118.88886260986328
- val_loss:
  0.0967411771416664
- val_mae:
  0.2403164505958557
- val_mape:
  79.25465393066406

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

run-0hve4i6f-history:v0

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