fp64_loss-higher_eps | gpt Overview – Weights & Biases

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Notes

Author

State

Crashed

Start time

December 30th, 2022 8:12:50 AM

Runtime

1h 3m 2s

Tracked hours

59m 47s

Run path

homebrewnlp/gpt/68ma2kv8c5uhzfargdmxwbd2sdrz9kq4

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 "fp64_loss-higher_eps-14" 8d30b08dbe5dce1e0fd49b154a86066531027b14

Command

main.py

System Hardware

CPU count	24
Logical CPU count	48

W&B CLI Version

0.13.7

Group

fp64_loss-higher_eps

Config parameters are your model's inputs. Learn more

▶
Config parameters:{} 13 keys
- add_depth:
  false
- ▶
  data:{} 8 keys
- depth:
  0
- ▶
  dims:{} 11 keys
- fail_on_missing_parameter:
  true
- global_prefix:
  ""
- ▶
  model:{} 6 keys
- name_cache_offsets:{} 0 keys
- ▶
  optimizer:{} 11 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:
  0.7497460842132568
- Accuracy/Median64:
  0.7497245073318481
- Accuracy/Median256:
  0.7503128051757812
- Accuracy/Median1024:
  0.7503128051757812
- Loss/Current:
  0.8166365819189405
- Loss/Median64:
  0.817939217286857
- Loss/Median256:
  0.8145940225439643
- Loss/Median1024:
  0.8145940225439643
- Optimizer/Learning Rate:
  0.008653688244521618
- Speed/Batches per Second:
  0.07364560674906755
- Speed/Parameters * Tokens per Day:
  2,703,364,185,990,444,544
- Speed/Tokens per Day:
  6,672,068,560.152885
- Speed/Tokens Seen:
  21,660,434,432

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

run-68ma2kv8c5uhzfargdmxwbd2sdrz9kq4-history:v0

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