fit-streategies | fastai Workspace – Weights & Biases

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Group: fit-streategies

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Tags

Notes

Author

State

Failed

Start time

May 10th, 2022 12:29:11 AM

Sweep

Runtime

3m 3s

Tracked hours

2m 55s

Run path

fastai/fine_tune_timm/4av5dhcv

OS

Linux-5.4.0-109-generic-x86_64-with-glibc2.31

Python version

3.9.9

Git repository

git clone git@github.com:tcapelle/fastai_timm.git

Git state

git checkout -b "polished-sweep-50" 17aad6150ef72f38f2fe4ce82ddb64e9c7349d0e

Command

/home/paperspace/wandb/fastai_2022/sweep.py

System Hardware

CPU count	8
GPU count	1
GPU type	NVIDIA RTX A6000

W&B CLI Version

0.12.15

Group

fit-streategies

Config parameters are your model's inputs. Learn more

▶
Config parameters:{} 34 keys
- batch per epoch:
  92
- batch size:
  64
- batch_size:
  64
- dataset.tfms:
  "[Pipeline: PILBase.create, Pipeline: partial -> Categorize -- {'vocab': None, 'sort': True, 'add_na': False}]"
- device:
  "cuda"
- dls.after_batch:
  "Pipeline: IntToFloatTensor -- {'div': 255.0, 'div_mask': 1}"
- dls.after_item:
  "Pipeline: Resize -- {'size': (224, 224), 'method': 'crop', 'pad_mode': 'reflection', 'resamples': (<Resampling.BILINEAR: 2>, 0), 'p': 1.0} -> ToTensor"
- dls.before_batch:
  "Pipeline: "
- fit_epochs:
  1
- fit_learning_rate:
  0.0015874282304845651
- force_torchvision:
  false
- frozen:
  false
- frozen idx:
  0
- ft_epochs:
  10
- ft_learning_rate:
  0.004823467166279238
- img_size:
  224
- input 1 dim 1:
  64
- input 1 dim 2:
  3
- input 1 dim 3:
  224
- input 1 dim 4:
  224
- ▶
  Learner:{} 16 keys
- MixedPrecision:
  true
- model parameters:
  22,175,296
- model_name:
  "regnetx_040"
- n_inp:
  1
- num_experiments:
  1
- ParamScheduler:
  true
- ProgressCallback:
  true
- ▶
  Recorder:{} 3 keys
  - add_time:
    true
  - train_metrics:
    false
  - valid_metrics:
    true
- seed:
  42
- split_func:
  "timm"
- TrainEvalCallback:
  true
- wandb_project:
  "fine_tune_timm"
- ▶
  WandbCallback:{} 9 keys

Summary metrics are your model's outputs. Learn more

▶
Summary metrics:{} 21 keys
- accuracy:
  0.9370771050453186
- epoch:
  8.706521739130395
- eps_0:
  0.00001
- eps_1:
  0.00001
- eps_2:
  0.00001
- error_rate:
  0.06292286515235901
- lr_0:
  0.00001100130670711284
- lr_1:
  0.0001100130670711284
- lr_2:
  0.0011001306707112842
- mom_0:
  0.90438478104539
- mom_1:
  0.90438478104539
- mom_2:
  0.90438478104539
- raw_loss:
  0.07450772821903229
- sqr_mom_0:
  0.99
- sqr_mom_1:
  0.99
- sqr_mom_2:
  0.99
- train_loss:
  0.08972090482711792
- valid_loss:
  0.21492423117160797
- wd_0:
  0.01
- wd_1:
  0.01
- wd_2:
  0.01

This run produced these artifacts as outputs. Learn more

run-4av5dhcv-history:v0

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