wulfdewolf

Wulfdewolf's group workspace

Group: signal-unfreezing-after-9-7OGL6I

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of 1

Tags

Notes

Author

wulfdewolf

State

Finished

Start time

May 21st, 2022 5:58:15 PM

Runtime

2h 31m 40s

Tracked hours

2h 31m 35s

Run path

wulfdewolf/lpt-for-eeg/p2kj7tmi

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-to-9 --pretrained-transformer --batch-size 64 --epochs 32 --learning-rate 0.0004 --freeze-ff --freeze-attn --freeze-between 1 9

System Hardware

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

Group

signal-unfreezing-after-9-7OGL6I

Job Type

0XIRX8

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:
    1
  - 1:
    9
- freeze_ff:
  true
- freeze_ln:
  false
- freeze_lower:
  1
- freeze_pos:
  false
- freeze_upper:
  9
- ▶
  hyperparams:{} 6 keys
- name:
  "signal-unfreezing-after-9"
- optimise:
  null
- pretrained_transformer:
  true
- run_type:
  "0XIRX8"
- wandb:
  true

Summary metrics are your model's outputs. Learn more

▶
Summary metrics:{} 6 keys
- Test Accuracy:
  0.4774305555555555
- Test Loss:
  4.98869244257609
- Train Accuracy:
  0.9928682572614104
- Train Loss:
  0.023424575794277813
- Validation Accuracy:
  0.5034722222222222
- Validation Loss:
  5.045169697867499

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

wandb-history

run-p2kj7tmi-history:v0