small_scale_bc_chaotic_lstm_multiseed-v0 | tlab Workspace

Howuhh's group workspace

Group: small_scale_bc_chaotic_lstm_multiseed-v0

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Author

howuhh

State

Finished

Start time

May 25th, 2023 5:42:53 PM

Sweep

tidrjtlr

Runtime

6h 35m 36s

Tracked hours

6h 35m 5s

Run path

tlab/NetHack/p0p0tmh8

Linux-5.4.0-146-generic-x86_64-with-glibc2.29

Python version

3.8.10

Git repository

git clone git@github.com:tinkoff-ai/katakomba.git

Git state

git checkout -b "bc-wiz-orc-cha-509fd8c8" 5aec75edc53671d37ab31bb33e767652ebd01b3b

Command

algorithms/small_scale/bc_chaotic_lstm.py --character=wiz-orc-cha --data_mode=memmap --group=small_scale_bc_chaotic_lstm_multiseed --train_seed=2 --version=0

System Hardware

CPU count	128
GPU count	1
GPU type	NVIDIA A100-PCIE-40GB

W&B CLI Version

0.12.21

Group

small_scale_bc_chaotic_lstm_multiseed-v0

Config parameters are your model's inputs. Learn more

▶
Config parameters:{} 23 keys
- batch_size:
  64
- character:
  "wiz-orc-cha"
- checkpoints_path:
  null
- clip_grad_norm:
  null
- data_mode:
  "memmap"
- eval_episodes:
  50
- eval_every:
  10,000
- eval_processes:
  14
- eval_seed:
  50
- group:
  "small_scale_bc_chaotic_lstm_multiseed"
- learning_rate:
  0.0003
- mlc_job_name:
  "selectel-a100-1x-katakomba-6kxohl"
- name:
  "bc-wiz-orc-cha-509fd8c8"
- project:
  "NetHack"
- rnn_dropout:
  0
- rnn_hidden_dim:
  2,048
- rnn_layers:
  2
- seq_len:
  16
- train_seed:
  2
- update_steps:
  500,000
- use_prev_action:
  true
- version:
  0
- weight_decay:
  0

Summary metrics are your model's outputs. Learn more

▶
Summary metrics:{} 18 keys
- depth_max:
  1
- depth_mean:
  0.1
- depth_median:
  0
- depth_min:
  0
- depth_std:
  0.3
- loss:
  0.20202961564064023
- reward_max:
  1,719
- reward_mean:
  442.54
- reward_median:
  267.5
- reward_min:
  0
- reward_std:
  471.53902107884994
- times/backward_pass:
  0.01197542381286621
- times/batch_loading_cpu:
  0.020630598068237305
- times/batch_loading_gpu:
  0.020585567474365234
- times/evaluation_cpu:
  120.96941828727722
- times/evaluation_gpu:
  120.9690390625
- times/forward_pass:
  0.0056633281707763675
- transitions:
  512,000,000

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

wandb-history

run-p0p0tmh8-history:v0