Batu's group workspace
JumpOverfit_Vector
What makes this group special?
Tags
num_layers:3_learning_rate:0.001_h_feats:512_activation:<function relu at 0x000001C71913B678>_loss:<function mse_loss at 0x000001C7191491F8>
Notes
Author
State
Finished
Start time
December 3rd, 2021 3:18:10 PM
Runtime
46s
Tracked hours
43s
Run path
batu/BehaviorCloning/27id2ts7
OS
Windows-10-10.0.19041-SP0
Python version
3.7.10
Git repository
git clone https://github.com/batu/RLAgency.git
Git state
git checkout -b "num_layers3_learning_rate0.001_h_feats512_activation<function-relu-at-0x000001C71913B678>_loss<function-mse_loss-at-0x000001C7191491F8>" 6e4e3bb5250b23f7cc217320753f7a5bca39a6ab
Command
BehaviorCloning.ipynb
System Hardware
| CPU count | 16 |
| GPU count | 1 |
| GPU type | NVIDIA GeForce RTX 3070 Laptop GPU |
W&B CLI Version
0.12.6
Group
JumpOverfit_VectorConfig
Config parameters are your model's inputs. Learn more
- {} 8 keys▶
- "torch.nn.functional.relu"
- 128
- 512
- 505
- 0.001
- "torch.nn.functional.mse_loss"
- 3
- 140
Summary
Summary metrics are your model's outputs. Learn more
- {} 7 keys▶
- 11
- 0.00003676945925690234
- 0.00390692288056016
- 0.003472220851108432
- 1,999
- 0.004001745022833347
- 0.003116063540801406
Artifact Outputs
This run produced these artifacts as outputs. Total: 1. Learn more
Type
Name
Consumer count
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