sweep_v0-v0 | tlab Workspace – Weights & Biases

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Group: sweep_v0-v0

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Notes

Author

State

Finished

Start time

May 21st, 2023 5:01:43 AM

Sweep

Runtime

6h 10m 45s

Tracked hours

6h 10m 35s

Run path

tlab/NetHack/oyy9nvot

OS

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-0113573b" 301c302500380777cb25899ef7bddcb20b0fc48f

Command

algorithms/small_scale/bc_chaotic_lstm.py --character=wiz-orc-cha --checkpoints_path=checkpoints --data_mode=memmap --group=sweep_v0 --train_seed=2

System Hardware

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

W&B CLI Version

0.12.21

Group

Config parameters are your model's inputs. Learn more

▶
Config parameters:{} 23 keys
- batch_size:
  64
- character:
  "wiz-orc-cha"
- checkpoints_path:
  "checkpoints"
- clip_grad_norm:
  null
- data_mode:
  "memmap"
- eval_episodes:
  50
- eval_every:
  10,000
- eval_processes:
  14
- eval_seed:
  50
- group:
  "sweep_v0"
- learning_rate:
  0.0003
- mlc_job_name:
  "selectel-a100-1x-katakomba-vz58go"
- name:
  "bc-wiz-orc-cha-0113573b"
- 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:
  "v0"
- weight_decay:
  0

Summary metrics are your model's outputs. Learn more

▶
Summary metrics:{} 18 keys
- depth_max:
  1
- depth_mean:
  0.04
- depth_median:
  0
- depth_min:
  0
- depth_std:
  0.19595917942265428
- loss:
  0.2093021273612976
- reward_max:
  1,959
- reward_mean:
  286.66
- reward_median:
  141.5
- reward_min:
  0
- reward_std:
  410.485498404024
- times/backward_pass:
  0.01153001594543457
- times/batch_loading_cpu:
  0.018317699432373047
- times/batch_loading_gpu:
  0.01828486442565918
- times/evaluation_cpu:
  76.20094799995422
- times/evaluation_gpu:
  76.2003046875
- times/forward_pass:
  0.005353439807891846
- transitions:
  511,998,976

This run produced these artifacts as outputs. Learn more

run-oyy9nvot-history:v0

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