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Group: roberta_fulltraining_fnc1

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Tags

Notes

Author

mwirth

State

Finished

Start time

February 20th, 2023 1:56:59 AM

Runtime

1h 52m 39s

Tracked hours

1h 52m 33s

Run path

dal-nlp/active-glae_old/cjncj635

Linux-4.15.0-202-generic-x86_64-with-glibc2.27

Python version

3.9.13

Command

/mnt/stud/home/mwirth/projekts/dal-toolbox/experiments/active_learning/al_txt.py model=roberta dataset=fnc1 output_dir=/mnt/work/glae/glae-results/fnc1/roberta/fulltraining/seed5 random_seed=5 al_strategy=fulltraining al_cycle.n_init=0 al_cycle.acq_size=0 al_cycle.n_acq=0 wandb.group=roberta_fulltraining_fnc1

System Hardware

CPU count	48
Logical CPU count	96
GPU count	1
GPU type	Tesla V100-SXM2-32GB

W&B CLI Version

0.13.9

Group

roberta_fulltraining_fnc1

Config parameters are your model's inputs. Learn more

▶
Config parameters:{} 13 keys
- ▶
  al_cycle:{} 4 keys
  - acq_size:
    0
  - cold_start:
    false
  - n_acq:
    0
  - n_init:
    0
- ▶
  al_strategy:{} 1 key
  - name:
    "fulltraining"
- check_freq_model:
  15
- ▶
  dataset:{} 5 keys
- dataset_path:
  "$HOME/.cache/huggingface/datasets"
- device:
  "cuda"
- ▶
  model:{} 5 keys
- output_dir:
  "/mnt/work/glae/glae-results/fnc1/roberta/fulltraining/seed5"
- print_freq_eval:
  25
- print_freq_train:
  25
- random_seed:
  5
- val_batch_size:
  128
- ▶
  wandb:{} 5 keys

Summary metrics are your model's outputs. Learn more

▶
Summary metrics:{} 7 keys
- final_auc_acc:
  97.812
- final_auc_acc_blc:
  0.877
- final_auc_f1:
  0.866
- test_batch_acc_balanced_epoch:
  0.9611329222274168
- test_batch_acc_epoch:
  99.01960784313724
- test_batch_f1_epoch:
  0.9515012833538752
- test_loss_epoch:
  0.04864222484840346

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

wandb-history

run-cjncj635-history:v0

Assenmacher-mat's group workspace

roberta_fulltraining_fnc1

roberta_fulltraining_fnc1#5