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ablation

What makes this group special?
Tags

GradNorm-1x256-lr=0.0015-wd=0.0035-dr=0.44

Notes
State
Finished
Start time
April 4th, 2023 2:25:07 PM
Runtime
3h 32m 6s
Tracked hours
3h 31m 56s
Run path
melkisedeath/chord_rec/hzu7v794
OS
Linux-4.15.0-202-generic-x86_64-with-glibc2.17
Python version
3.8.13
Git repository
git clone git@github.com:CPJKU/struttura.git
Git state
git checkout -b "GradNorm-1x256-lr=0.0015-wd=0.0035-dr=0.44" 8d24507c6b1a5b5691207f87874824583ebea7aa
Command
chord_prediction.py --include_synth --mtl_norm GradNorm --gpus 0 --batch_size 100 --n_epochs 50 --n_hidden 256
System Hardware
CPU count20
Logical CPU count 40
GPU count4
GPU typeGeForce GTX 1080 Ti
W&B CLI Version
0.13.9
Job Type
GradNorm
Config

Config parameters are your model's inputs. Learn more

  • {} 24 keys
    • "relu"
    • 0
    • 0.44
    • 83
    • 0.0015
    • 256
    • 1
    • 35
    • 22
    • 22
    • 2
    • 4
    • 35
    • 94
    • 16
    • 76
    • 35
    • 35
    • true
    • false
    • false
    • false
    • 0.0035
    • false
Summary

Summary metrics are your model's outputs. Learn more

  • {} 28 keys
    • 50
    • 3,949
    • 0.7088708877563477
    • 0.6820530295372009
    • 0.6843308806419373
    • 0.7382217049598694
    • 0.9044351577758788
    • 0.8574977517127991
    • 0.7212668061256409
    • 0.7677209973335266
    • 0.7929159998893738
    • 0.8074522614479065
    • 210.6138458251953
    • 0.7399287819862366
    • 0.7559813857078552
    • 0.7712647318840027
    • 0.443905770778656
    • 0.47210001945495605
    • 0.4577736556529999
    • 0.6134136319160461
    • 0.8144496083259583
    • 0.8382726311683655
    • 0.8231948018074036
    • 0.4910760223865509
    • 2.8591692447662354
    • 3,950
    • 0.4300595223903656
    • 9.115461349487305
Artifact Inputs

This run consumed these artifacts as inputs. Learn more

Artifact Outputs

This run produced these artifacts as outputs. Total: 2. Learn more