state-machine

State-machine's group workspace

Group: XLand-MiniGrid-R4-13x13-obs-emb-sweep-v0

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of 80

Tags

Notes

Author

state-machine

State

Finished

Start time

July 18th, 2024 5:05:05 AM

Sweep

fxw1d1it

Runtime

1h 45m 41s

Tracked hours

Run path

state-machine/xminigrid/hekesa9z

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/eaaa750f/training/train_meta_task.py --benchmark_id=high-1m --config_path=configs/wip/config_best.yaml --group=XLand-MiniGrid-R4-13x13-obs-emb-sweep-v0 --obs_emb_dim=64 --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

Group

XLand-MiniGrid-R4-13x13-obs-emb-sweep-v0

Config parameters are your model's inputs. Learn more

▶
Config parameters:{} 30 keys
- action_emb_dim:
  16
- benchmark_id:
  "high-1m"
- checkpoint_path:
  null
- clip_eps:
  0.2
- config_path:
  "configs/wip/config_best.yaml"
- ent_coef:
  0.01
- env_id:
  "XLand-MiniGrid-R4-13x13"
- eval_num_envs:
  16,384
- eval_num_episodes:
  25
- eval_seed:
  42
- gae_lambda:
  0.95
- gamma:
  0.99
- group:
  "XLand-MiniGrid-R4-13x13-obs-emb-sweep-v0"
- head_hidden_dim:
  256
- img_obs:
  false
- lr:
  0.001
- max_grad_norm:
  0.5
- name:
  "meta-task-ppo"
- num_envs:
  16,384
- num_minibatches:
  16
- num_steps_per_env:
  12,800
- num_steps_per_update:
  256
- obs_emb_dim:
  64
- project:
  "xminigrid"
- rnn_hidden_dim:
  1,024
- rnn_num_layers:
  1
- total_timesteps:
  10,000,000,000
- train_seed:
  5
- update_epochs:
  1
- vf_coef:
  0.5

Summary metrics are your model's outputs. Learn more

No summary metrics saved for this run.

Check the summary metrics documentation for more information.