State-machine's group workspace
XLand-MiniGrid-R4-13x13-direction-sweep-v0
What makes this group special?
Tags
meta-task-ppo
Notes
Author
State
Finished
Start time
July 16th, 2024 10:10:26 PM
Sweep
leueybet
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 count | 112 | 
| Logical CPU count | 224 | 
| GPU count | 1 | 
| GPU type | NVIDIA 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
Type
Name
Consumer count
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 state-machine
state-machine