Awni00's group workspace
Relational Abstractor
What makes this group special?
Tags
train size = 3000; trial = 9
Notes
Author
awni00State
Finished
Start time
April 29th, 2023 10:46:22 AM
Runtime
1m 48s
Tracked hours
1m 43s
Run path
abstractor/object_argsort_autoregressive/z08tsizg
OS
Linux-3.10.0-1160.80.1.el7.x86_64-x86_64-with-glibc2.10
Python version
3.8.16
Git repository
git clone https://github.com/jdlafferty/relational
Git state
git checkout -b "train-size-=-3000;-trial-=-9" 753e3703eaa4d9005dad1d175c5d58791276f3b4
Command
evaluate_argsort_model_learning_curves.py --model rel-abstracter --pretraining_mode none --init_trainable True --pretraining_task_type "reshuffled attr" --pretraining_task_data_path object_sorting_datasets/product_structure_reshuffled_object_sort_dataset.npy --eval_task_data_path object_sorting_datasets/product_structure_object_sort_dataset.npy --n_epochs 200 --early_stopping True --min_train_size 100 --max_train_size 3000 --train_size_step 100 --num_trials 10 --start_trial 0 --pretraining_train_size 1000 --wandb_project_name object_argsort_autoregressive
System Hardware
| CPU count | 36 |
| Logical CPU count | 36 |
| GPU count | 1 |
| GPU type | NVIDIA GeForce RTX 3090 |
W&B CLI Version
0.13.9
Summary
Summary metrics are your model's outputs. Learn more
- {} 10 keys▶
- "table-file"
- 1
- 66
- 0.0010000000474974513
- 0.01351266633719206
- 0.9961000084877014
- 0.0001875992165878415
- 0.9999799728393556
- 1
- 0.9999933242797852
Artifact Inputs
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Artifact Outputs
This run produced these artifacts as outputs. Total: 2. Learn more
Type
Name
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