v0.3 | slimshadys Overview – Weights & Biases

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Slimshadys's group workspace

Group: v0.3

1-1

of 1

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Notes

Author

State

Crashed

Start time

December 5th, 2023 4:36:08 PM

Runtime

2h 12m 26s

Tracked hours

1h 50m 10s

Run path

slimshadys/SoftKick/a30o4hhy

W&B CLI Version

0.16.0

Group

Config parameters are your model's inputs. Learn more

▶
Config parameters:{} 15 keys
- ▶
  critic_layer_sizes:[] 4 items
  - 0:
    1,024
  - 1:
    512
  - 2:
    512
  - 3:
    512
- critic_lr:
  0.001
- exp_buffer_size:
  150,000
- gae_gamma:
  0.996
- gae_lambda:
  0.95
- min_inference_size:
  36
- n_proc:
  40
- ▶
  policy_layer_sizes:[] 4 items
  - 0:
    1,024
  - 1:
    512
  - 2:
    512
  - 3:
    512
- policy_lr:
  0.001
- ppo_batch_size:
  50,000
- ppo_clip_range:
  0.2
- ppo_ent_coef:
  0.0001
- ppo_epochs:
  1
- ppo_minibatch_size:
  50,000
- ts_per_iteration:
  50,000

Summary metrics are your model's outputs. Learn more

▶
Summary metrics:{} 24 keys
- ball_height:
  111.96437072753906
- ball_speed:
  286.981201171875
- boost_held:
  0.044710639864206314
- car_height:
  49.13511276245117
- car_speed:
  1,054.1162109375
- Collected Steps per Second:
  7,595.489207859406
- Cumulative Model Updates:
  1,579
- Cumulative Timesteps:
  39,516,720
- demoed_rate:
  0
- Mean KL Divergence:
  0.026806961745023727
- on_ground:
  0.2331414669752121
- Overall Steps per Second:
  5,999.404592008077
- Policy Entropy:
  1.1966702342033386
- Policy Reward:
  8.131858774085215
- Policy Update Magnitude:
  0.2140503525733948
- PPO Batch Consumption Time:
  0.155303955078125
- SB3 Clip Fraction:
  0.0848499946296215
- Timestep Collection Time:
  6.587330800000018
- Timestep Consumption Time:
  1.7524968000006993
- Timesteps Collected:
  50,034
- Total Iteration Time:
  8.339827600000717
- touch_rate:
  0.023124275729060173
- Value Function Loss:
  0.8966715037822723
- Value Function Update Magnitude:
  0.22278977930545807

This run consumed these artifacts as inputs. Learn more

job-https___github.com_SlimShadys_SoftKick_train_rlgym_ppo.py:v3

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