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bert_random_fnc1

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bert_random_fnc1#4

Notes
Author
State
Finished
Start time
January 19th, 2023 12:31:26 AM
Runtime
38m 12s
Tracked hours
38m 6s
Run path
dal-nlp/active-glae_old/91u9g9g3
OS
Linux-4.15.0-197-generic-x86_64-with-glibc2.27
Python version
3.9.5
Command
/mnt/home/lrauch/projects/dal-toolbox/experiments/active_learning/al_txt.py model=bert dataset=fnc1 output_dir=/mnt/work/lrauch/glae-results/fnc1/bert/random/N_INIT100__ACQ_SIZE100__N_ACQ15/seed4 al_strategy=random random_seed=4 al_strategy=random al_cycle.n_init=100 al_cycle.acq_size=100 al_cycle.n_acq=15 wandb.group=bert_random_fnc1
System Hardware
CPU count128
Logical CPU count 256
GPU count1
GPU typeNVIDIA A100-SXM4-40GB
W&B CLI Version
0.13.9
Config

Config parameters are your model's inputs. Learn more

  • {} 13 keys
    • {} 4 keys
      • 100
      • true
      • 15
      • 100
    • {} 1 key
      • "random"
    • 15
    • {} 5 keys
      • "$HOME/.cache/huggingface/datasets"
      • "cuda"
      • {} 5 keys
        • "/mnt/work/lrauch/glae-results/fnc1/bert/random/N_INIT100__ACQ_SIZE100__N_ACQ15/seed4"
        • 25
        • 25
        • 4
        • 128
        • {} 5 keys
        Summary

        Summary metrics are your model's outputs. Learn more

        • {} 7 keys
          • 79.597
          • 0.407
          • 0.385
          • 0.6162560764248906
          • 88.93557420526804
          • 0.5995955026034062
          • 0.34862862054317717
        Artifact Outputs

        This run produced these artifacts as outputs. Total: 1. Learn more

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