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

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Group: cnnrnn-sweep-grid-offset-2

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Tags

Notes

Author

State

Failed

Start time

May 10th, 2021 12:39:24 PM

Sweep

Runtime

11m 22s

Tracked hours

-

Run path

nbvanting/thesis/6aq2edwm

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-95a1a945-14ec-4e41-a01a-b0a5766493f0.json

System Hardware

CPU count	2
GPU count	1
GPU type	Tesla K80

W&B CLI Version

0.10.30

Group

cnnrnn-sweep-grid-offset-2

Config parameters are your model's inputs. Learn more

▶
Config parameters:{} 16 keys
- activation_cnn:
  "relu"
- activation_gru:
  "tanh"
- batch_size:
  64
- cnn_layer_size_1:
  56
- dataset:
  "strib"
- dropout:
  0.2
- 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:
  24
- best_val_loss:
  0.08993597328662872
- epoch:
  29
- ▶
  graph:{} 4 keys
  - _type:
    "graph-file"
  - path:
    "media/graph/graph_summary_dacebd01.graph.json"
  - sha256:
    "dacebd01912011397d8f17472e7e4ed77c954179c2b805fd29bd4705816779bd"
  - size:
    855
- loss:
  0.05950237438082695
- mae:
  0.18639343976974487
- test_loss:
  0.11180415004491806
- test_mae:
  0.24121740460395813
- val_loss:
  0.09079530090093613
- val_mae:
  0.2154078632593155

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

run-6aq2edwm-history:v0

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