one-per-step-largebatch-smallmodel-evensmallerbeta | gpt Workspace – Weights & Biases

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Group: one-per-step-largebatch-smallmodel-evensmallerbeta

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Tags

Notes

Author

State

Crashed

Start time

May 16th, 2023 5:59:09 PM

Runtime

1h 13m 37s

Tracked hours

-

Run path

homebrewnlp/gpt/2whmpyh6vqggame6upupy099wrbd1z37

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 "one-per-step-largebatch-smallmodel-evensmallerbeta-1" ab2424906a0a39b06a369b0fb7d19c19211753c7

Command

main.py

System Hardware

CPU count	48
Logical CPU count	96

W&B CLI Version

0.15.2

Group

one-per-step-largebatch-smallmodel-evensmallerbeta

Config parameters are your model's inputs. Learn more

▶
Config parameters:{} 11 keys
- ▶
  data:{} 8 keys
- ▶
  dims:{} 10 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:
  0.33984375
- Accuracy/Median64:
  0.3408203125
- Accuracy/Median256:
  0.341796875
- Accuracy/Median1024:
  0.3408203125
- Loss/Current:
  2.4513761781284025
- Loss/Median64:
  2.445780999033383
- Loss/Median256:
  2.445731216042228
- Loss/Median1024:
  2.460806799279574
- Optimizer/Learning Rate:
  0.00000043221422174611
- Speed/Batches per Second:
  314.25069303963437
- Speed/Parameters * Tokens per Day:
  88,703,906,483,936,952,320
- Speed/Tokens per Day:
  222,423,120,925.69116
- Speed/Tokens Seen:
  122,715,136

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

run-2whmpyh6vqggame6upupy099wrbd1z37-history:v0

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