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State-machine's group workspace

XLand-MiniGrid-R4-13x13-direction-sweep-v0

What makes this group special?
Tags

meta-task-ppo

Notes
State
Finished
Start time
July 16th, 2024 10:10:26 PM
Runtime
4h 1m 11s
Tracked hours
4h 56s
Run path
state-machine/xminigrid/fu7uakc9
OS
Linux-5.15.0-1044-nvidia-x86_64-with-glibc2.31
Python version
3.10.13
Git repository
git clone git@github.com:corl-team/xland-minigrid.git
Git state
git checkout -b "meta-task-ppo" 6e7e218617fd060796d9538d78492fee2f11be2f
Command
/home/jovyan/tmp/b5d08b64/training/train_meta_task.py --benchmark_id=high-1m --config_path=configs/wip/config_best.yaml --group=XLand-MiniGrid-R4-13x13-direction-sweep-v0 --num_minibatches=16 --train_seed=5
System Hardware
CPU count112
Logical CPU count 224
GPU count1
GPU typeNVIDIA H100 80GB HBM3
W&B CLI Version
0.17.0
Config

Config parameters are your model's inputs. Learn more

  • {} 29 keys
    • 16
    • "high-1m"
    • null
    • 0.2
    • "configs/wip/config_best.yaml"
    • 0.01
    • "XLand-MiniGrid-R4-13x13"
    • 16,384
    • 25
    • 42
    • 0.95
    • 0.99
    • "XLand-MiniGrid-R4-13x13-direction-sweep-v0"
    • 256
    • false
    • 0.001
    • 0.5
    • "meta-task-ppo"
    • 16,384
    • 16
    • 12,800
    • 256
    • "xminigrid"
    • 1,024
    • 1
    • 10,000,000,000
    • 5
    • 1
    • 0.5
Summary

Summary metrics are your model's outputs. Learn more

  • {} 13 keys
    • 0.00000008724600775167
    • 1.2787758111953735
    • 10,814.5400390625
    • 9,036.80078125
    • 0
    • 3.756028175354004
    • 0
    • 0.00002083331492030993
    • 695,530.8423273223
    • -0.009131422266364098
    • 14,377.507640838625
    • 10,066,329,600
    • 0.007312496192753315
Artifact Outputs

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

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