bigbatch-seq64 | gpt Workspace – Weights & Biases

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Group: bigbatch-seq64

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Notes

Author

State

Crashed

Start time

May 18th, 2023 6:01:50 PM

Runtime

12h 25m 3s

Tracked hours

-

Run path

homebrewnlp/gpt/6cdxssttj3z0vmmue3b50yxvpdvo8euh

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 "bigbatch-seq64-2" e4d893e388203351304ee9193b2c89f17c249dac

Command

main.py

System Hardware

CPU count	48
Logical CPU count	96

W&B CLI Version

0.15.3

Group

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:
  0.222320556640625
- Accuracy/Median64:
  0.23268890380859375
- Accuracy/Median256:
  0.23117828369140625
- Accuracy/Median1024:
  0.2275238037109375
- Loss/Current:
  3.0455227287902744
- Loss/Median64:
  3.007403152120361
- Loss/Median256:
  3.0050960948404777
- Loss/Median1024:
  3.0256770779580275
- Optimizer/Learning Rate:
  0.00000934903255256358
- Speed/Batches per Second:
  0.1381247535076666
- Speed/Parameters * Tokens per Day:
  315,923,861,214,037,696
- Speed/Tokens per Day:
  782,105,228.283897
- Speed/Tokens Seen:
  630,194,176

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

run-6cdxssttj3z0vmmue3b50yxvpdvo8euh-history:v0

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