ctx8-batch1024-smallmodel | gpt Overview – Weights & Biases

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Group: ctx8-batch1024-smallmodel

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Notes

Author

State

Crashed

Start time

May 16th, 2023 6:16:05 AM

Runtime

2h 51m 23s

Tracked hours

-

Run path

homebrewnlp/gpt/1jrrlaldzt6gvtvimtrixpunlz0rmaer

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 "ctx8-batch1024-smallmodel-0" 279e6ef7ac7995479e8b7ae1f9986f1e0f4dc44e

Command

main.py

System Hardware

CPU count	48
Logical CPU count	96

W&B CLI Version

0.15.2

Group

ctx8-batch1024-smallmodel

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:
  0.2960205078125
- Accuracy/Median64:
  0.296142578125
- Accuracy/Median256:
  0.296142578125
- Accuracy/Median1024:
  0.308349609375
- Loss/Current:
  2.786309284691619
- Loss/Median64:
  2.7864191604914694
- Loss/Median256:
  2.7408840516270487
- Loss/Median1024:
  2.651577692455003
- Optimizer/Learning Rate:
  0.00009622046491131186
- Speed/Batches per Second:
  0.562715036080782
- Speed/Parameters * Tokens per Day:
  160,626,204,099,206,880
- Speed/Tokens per Day:
  398,283,400.1295734
- Speed/Tokens Seen:
  45,088,768

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

run-1jrrlaldzt6gvtvimtrixpunlz0rmaer-history:v0

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