sam_dfki

Bverma's group workspace

Group: <null>

1-1

of 1

Tags

Notes

https://wandb.ai/sam_dfki/best_rel_uncased/groups/unknown

Author

bverma

State

Finished

Start time

April 25th, 2022 9:57:32 AM

Runtime

1d 9h 15m 57s

Tracked hours

1d 9h 15m 50s

Run path

sam_dfki/best_rel_uncased/3ecnblw6

Linux-5.4.0-107-generic-x86_64-with-glibc2.10

Python version

3.8.10

Git repository

git clone git@github.com:ArneBinder/SAM.git

Git state

git checkout -b "splendid-microwave-1" b761d672e4cc2773e6cb2223c6e2e12bc8b43370

Command

training_scripts/cross_validation/train-cross-validation.py train -f allennlp_configs/rel_best_uncased.jsonnet

System Hardware

CPU count	96
GPU count	1
GPU type	NVIDIA RTX A6000

W&B CLI Version

0.12.0

Config parameters are your model's inputs. Learn more

No config parameters were saved for this run.

Check the configuration documentation for more information.

Summary metrics are your model's outputs. Learn more

▶
Summary metrics:{} 81 keys
- best_epoch_mean:
  35.2
- best_epoch_median:
  30
- best_epoch_std:
  16.90266251216062
- best_validation__contradicts_rev/f1_mean:
  0.7226888418197632
- best_validation__contradicts_rev/f1_median:
  0.7346938848495483
- best_validation__contradicts_rev/f1_std:
  0.036252049915501225
- best_validation__contradicts_rev/precision_mean:
  0.7746062278747559
- best_validation__contradicts_rev/precision_median:
  0.7685950398445129
- best_validation__contradicts_rev/precision_std:
  0.039964373046965755
- best_validation__contradicts_rev/recall_mean:
  0.6827417969703674
- best_validation__contradicts_rev/recall_median:
  0.7105262875556946
- best_validation__contradicts_rev/recall_std:
  0.07479321633254347
- best_validation__contradicts/f1_mean:
  0.7275126695632934
- best_validation__contradicts/f1_median:
  0.7307692766189575
- best_validation__contradicts/f1_std:
  0.036690671416861886
- best_validation__contradicts/precision_mean:
  0.7578068137168884
- best_validation__contradicts/precision_median:
  0.734375
- best_validation__contradicts/precision_std:
  0.07290608866623019
- best_validation__contradicts/recall_mean:
  0.7054769277572632
- best_validation__contradicts/recall_median:
  0.6947368383407593
- best_validation__contradicts/recall_std:
  0.061042490137560905
- best_validation__macro-f1/f1_mean:
  0.8417498350143433
- best_validation__macro-f1/f1_median:
  0.8431328336397806
- best_validation__macro-f1/f1_std:
  0.020611807139445687
- best_validation__macro-f1/precision_mean:
  0.8692045211791992
- best_validation__macro-f1/precision_median:
  0.8595599432786306
- best_validation__macro-f1/precision_std:
  0.02451903680711489
- best_validation__macro-f1/recall_mean:
  0.8193177918593089
- best_validation__macro-f1/recall_median:
  0.8283285796642303
- best_validation__macro-f1/recall_std:
  0.030399135314398352
- best_validation__micro-f1/precision_mean:
  0.8994274139404297
- best_validation__micro-f1/precision_median:
  0.8894518613815308
- best_validation__micro-f1/precision_std:
  0.02016578196845348
- best_validation__micro-f1/recall_mean:
  0.829254972934723
- best_validation__micro-f1/recall_median:
  0.8279049396514893
- best_validation__micro-f1/recall_std:
  0.030332159661082405
- best_validation__NONE/f1_mean:
  0.9691203832626344
- best_validation__NONE/f1_median:
  0.9688242077827454
- best_validation__NONE/f1_std:
  0.002621066995458187
- best_validation__NONE/precision_mean:
  0.9569328904151916
- best_validation__NONE/precision_median:
  0.9552719593048096
- best_validation__NONE/precision_std:
  0.0073758998360499645
- best_validation__NONE/recall_mean:
  0.9816730737686156
- best_validation__NONE/recall_median:
  0.98302161693573
- best_validation__NONE/recall_std:
  0.004255109933142082
- best_validation__parts_of_same/f1_mean:
  0.8800333499908447
- best_validation_loss_std:
  0.1425130403364296
- best_validation_micro-f1/fscore_mean:
  0.8626722812652587
- best_validation_micro-f1/fscore_median:
  0.8642303347587585
- best_validation_micro-f1/fscore_std:
  0.020575540703693544

This run produced these artifacts as outputs. Learn more

wandb-history

run-3ecnblw6-history:v0