wulfdewolf

Wulfdewolf's group workspace

Group: signal-unfreezing-until-6-86GEKP

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of 1

Tags

Notes

Author

wulfdewolf

State

Finished

Start time

May 15th, 2022 12:10:47 AM

Runtime

2h 34m 47s

Tracked hours

2h 34m 43s

Run path

wulfdewolf/lpt-for-eeg/30d6e4nu

Linux-3.10.0-1160.49.1.el7.x86_64-x86_64-with-glibc2.2.5

Python version

3.8.6

Git repository

git clone git@github.com:wulfdewolf/lpt-for-eeg.git

Git state

git checkout -b "test-subject-9" 72ee4c121804b77906fbd5feb7532c406e3fd6f5

Command

run.py --cluster /data/brussel/102/vsc10248 --wandb --name signal-unfreezing-from-6 --pretrained-transformer --batch-size 64 --epochs 32 --learning-rate 0.0004 --freeze-ff --freeze-attn --freeze-between 6 12

System Hardware

CPU count	32
GPU count	1
GPU type	NVIDIA A100-PCIE-40GB

Group

signal-unfreezing-until-6-86GEKP

Job Type

H7L9JF

Config parameters are your model's inputs. Learn more

▶
Config parameters:{} 16 keys
- cluster:
  "/data/brussel/102/vsc10248"
- data:
  "time-series"
- features:
  false
- freeze_attn:
  true
- ▶
  freeze_between:[] 2 items
  - 0:
    6
  - 1:
    12
- freeze_ff:
  true
- freeze_ln:
  false
- freeze_lower:
  6
- freeze_pos:
  false
- freeze_upper:
  12
- ▶
  hyperparams:{} 6 keys
- name:
  "signal-unfreezing-until-6"
- optimise:
  null
- pretrained_transformer:
  true
- run_type:
  "H7L9JF"
- wandb:
  true

Summary metrics are your model's outputs. Learn more

▶
Summary metrics:{} 6 keys
- Test Accuracy:
  0.39409722222222215
- Test Loss:
  2.804497639338176
- Train Accuracy:
  0.9840508298755204
- Train Loss:
  0.047284597083167006
- Validation Accuracy:
  0.4635416666666667
- Validation Loss:
  5.19622998767429

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

wandb-history

run-30d6e4nu-history:v0