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long_small_scale_rem_chaotic_lstm_multiseed-v0

What makes this group special?
Tags

rem-mon-hum-neu-7cc4da66

Notes
Author
State
Finished
Start time
June 9th, 2023 5:48:39 PM
Runtime
6d 16h 3m 19s
Tracked hours
6d 15h 55m 59s
Run path
tlab/NetHack/45qoohao
OS
Linux-5.4.0-146-generic-x86_64-with-glibc2.29
Python version
3.8.10
Git repository
git clone https://github.com/tinkoff-ai/katakomba.git
Git state
git checkout -b "rem-mon-hum-neu-7cc4da66" c6d28bed00e5a35d8e55bacde8bf1e3d6a7c7f21
Command
algorithms/small_scale/rem_chaotic_lstm.py --character=mon-hum-neu --data_mode=memmap --group=long_small_scale_rem_chaotic_lstm_multiseed --train_seed=0 --update_steps=6600000 --version=0
System Hardware
CPU count128
GPU count1
GPU typeNVIDIA A100-PCIE-40GB
W&B CLI Version
0.12.21
Config

Config parameters are your model's inputs. Learn more

  • {} 26 keys
    • 64
    • "mon-hum-neu"
    • null
    • null
    • 10
    • "memmap"
    • 50
    • 10,000
    • 14
    • 50
    • 0.999
    • "long_small_scale_rem_chaotic_lstm_multiseed"
    • 0.0003
    • "rem-mon-hum-neu-7cc4da66"
    • 200
    • "NetHack"
    • 0
    • 2,048
    • 2
    • 16
    • 0.005
    • 0
    • 6,600,000
    • true
    • 0
    • 0
Summary

Summary metrics are your model's outputs. Learn more

  • {} 19 keys
    • 0
    • 0
    • 0
    • 0
    • 0
    • NaN
    • NaN
    • 0
    • 0
    • 0
    • 0
    • 0
    • 0.01330016040802002
    • 0.07156610488891602
    • 0.07152607727050782
    • 14.101238250732422
    • 14.1011123046875
    • 0.01107808017730713
    • 6,758,400,000
Artifact Outputs

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

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