cnnrnn-sweep-grid | thesis Overview – Weights & Biases

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Group: cnnrnn-sweep-grid

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Notes

Author

State

Crashed

Start time

May 7th, 2021 4:01:12 PM

Sweep

Runtime

3m

Tracked hours

2m 46s

Run path

nbvanting/thesis/jqzemgxj

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-64213e13-291d-4722-a8be-f75fdd5d0af8.json

System Hardware

CPU count	2
GPU count	1
GPU type	Tesla K80

W&B CLI Version

0.10.29

Group

cnnrnn-sweep-grid

Config parameters are your model's inputs. Learn more

▶
Config parameters:{} 16 keys
- activation_cnn:
  "relu"
- activation_gru:
  "tanh"
- batch_size:
  222
- cnn_layer_size_1:
  95
- dataset:
  "strib"
- dropout:
  0.2
- epochs:
  25
- gru_layer_size_1:
  95
- kernelsize:
  3
- 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:{} 8 keys
- best_epoch:
  14
- best_val_loss:
  0.09701883047819138
- epoch:
  14
- ▶
  graph:{} 4 keys
  - _type:
    "graph-file"
  - path:
    "media/graph/graph_summary_079424d3.graph.json"
  - sha256:
    "079424d36cabe5bfacb68526cb0673b18383e5bb46039c84466079c6558f9033"
  - size:
    855
- loss:
  0.08569800853729248
- mae:
  0.2236330807209015
- val_loss:
  0.09701883047819138
- val_mae:
  0.22527949512004852

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

run-jqzemgxj-history:v0

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