rnn-norm2 | homebrewnlp Workspace – Weights & Biases

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Group: rnn-norm2

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Notes

Author

State

Crashed

Start time

May 13th, 2023 6:00:29 AM

Runtime

7h 31m 51s

Tracked hours

-

Run path

homebrewnlp/gpt/2vh5xx4egex6ii5xpdkade422opw0ett

OS

Linux-5.4.0-1043-gcp-x86_64-with-glibc2.29

Python version

3.8.5

Git repository

git clone https://github.com/HomebrewNLP/HomebrewNLP-Jax

Git state

git checkout -b "rnn-norm2-3" 9c39ab4c5d64b5813e491cc2b07dbc6bd8666567

Command

main.py

System Hardware

CPU count	48
Logical CPU count	96

W&B CLI Version

0.15.2

Group

Config parameters are your model's inputs. Learn more

▶
Config parameters:{} 11 keys
- ▶
  data:{} 8 keys
- ▶
  dims:{} 9 keys
- fail_on_missing_parameter:
  true
- global_prefix:
  ""
- ▶
  model:{} 4 keys
  - autoregressive:
    true
  - computation_dtype:
    "bfloat16"
  - ▶
    norm:{} 1 key
    - eps:
      0.0000000000000001
  - storage_dtype:
    "float32"
- name_cache_offsets:{} 0 keys
- ▶
  optimizer:{} 12 keys
- parameter_usages:{} 0 keys
- seed:
  0
- ▶
  training:{} 10 keys
- ▶
  wandb:{} 6 keys

Summary metrics are your model's outputs. Learn more

▶
Summary metrics:{} 13 keys
- Accuracy/Current:
  0.1552734375
- Accuracy/Median64:
  0.1658935546875
- Accuracy/Median256:
  0.165924072265625
- Accuracy/Median1024:
  0.1658935546875
- Loss/Current:
  3.4537000979965455
- Loss/Median64:
  3.4476177169001563
- Loss/Median256:
  3.45071186699786
- Loss/Median1024:
  3.452297604815225
- Optimizer/Learning Rate:
  0.0006369923939928412
- Speed/Batches per Second:
  1.409360242524111
- Speed/Parameters * Tokens per Day:
  1,565,357,984,024,757,248
- Speed/Tokens per Day:
  3,990,117,579.2953978
- Speed/Tokens Seen:
  2,111,176,704

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

run-2vh5xx4egex6ii5xpdkade422opw0ett-history:v0

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