dal-nlp

Assenmacher-mat's group workspace

Group: bert_random_fnc1_2560

1-5

of 5

Tags

Notes

Author

mwirth

State

Finished

Start time

February 6th, 2023 2:37:10 PM

Runtime

2h 5m 9s

Tracked hours

2h 5m 4s

Run path

dal-nlp/active-glae_old/90aadibm

Linux-4.15.0-197-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=bert dataset=fnc1 output_dir=/mnt/work/glae/glae-results/fnc1/bert/random/N_INIT100__ACQ_SIZE20__N_ACQ60/seed5 random_seed=5 al_strategy=random al_cycle.n_init=100 al_cycle.acq_size=20 al_cycle.n_acq=60 wandb.group=bert_random_fnc1_2560

System Hardware

CPU count	128
Logical CPU count	256
GPU count	1
GPU type	NVIDIA A100-SXM4-40GB

W&B CLI Version

0.13.9

Group

bert_random_fnc1_2560

Config parameters are your model's inputs. Learn more

▶
Config parameters:{} 13 keys
- ▶
  al_cycle:{} 4 keys
  - acq_size:
    20
  - cold_start:
    true
  - n_acq:
    60
  - n_init:
    100
- ▶
  al_strategy:{} 1 key
  - name:
    "random"
- 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/bert/random/N_INIT100__ACQ_SIZE20__N_ACQ60/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:
  81.04
- final_auc_acc_blc:
  0.425
- final_auc_f1:
  0.405
- test_batch_acc_balanced_epoch:
  0.42772919177814595
- test_batch_acc_epoch:
  78.87154863165969
- test_batch_f1_epoch:
  0.4205288765991133
- test_loss_epoch:
  0.6264397724280282

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

wandb-history

run-90aadibm-history:v0

Assenmacher-mat's group workspace

bert_random_fnc1_2560

bert_random_fnc1#5