3080ti_cl | fastai Workspace – Weights & Biases

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Group: 3080ti_cl

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Tags

Notes

Author

State

Finished

Start time

June 10th, 2022 8:04:38 PM

Runtime

27s

Tracked hours

25s

Run path

fastai/channels_last/17bopurv

OS

Linux-5.13.0-40-generic-x86_64-with-glibc2.17

Python version

3.8.12

Command

script.py --group 3080ti_cl --channels_last --subclass

System Hardware

CPU count	16
GPU count	1
GPU type	NVIDIA GeForce RTX 3080 Ti

W&B CLI Version

0.12.18

Group

Config parameters are your model's inputs. Learn more

▶
Config parameters:{} 16 keys
- batch_size:
  128
- channels_last:
  true
- dataset:
  "PETS"
- device:
  "cuda"
- entity:
  "capecape"
- epochs:
  2
- gpu_name:
  "NVIDIA GeForce RTX 3080 Ti"
- group:
  "3080ti_cl"
- image_size:
  224
- learning_rate:
  0.001
- mixed_precision:
  true
- model_name:
  "resnet50"
- num_experiments:
  5
- num_workers:
  8
- optimizer:
  "Adam"
- subclass:
  true

Summary metrics are your model's outputs. Learn more

▶
Summary metrics:{} 6 keys
- total_time:
  21.068873443990014
- train_samples_per_sec:
  688.0540565695604
- train_samples_per_sec_epoch:
  1,134.7195194706449
- train/epoch:
  1.9787234042553192
- train/example_ct:
  11,800
- train/train_loss:
  3.61468505859375

This run produced these artifacts as outputs. Learn more

run-17bopurv-history:v0

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