rnn-8ctx3-depth1 | gpt Overview – Weights & Biases

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Group: rnn-8ctx3-depth1

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Notes

Author

State

Crashed

Start time

May 15th, 2023 2:16:54 PM

Runtime

2h 21m 54s

Tracked hours

-

Run path

homebrewnlp/gpt/558nc90bbt86lc9ayuyql6dq7l0h3t511

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-8ctx3-depth1" 279e6ef7ac7995479e8b7ae1f9986f1e0f4dc44e

Command

main.py

System Hardware

CPU count	48
Logical CPU count	96

W&B CLI Version

0.15.2

Group

rnn-8ctx3-depth1

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:
  0.4228515625
- Accuracy/Median64:
  0.41259765625
- Accuracy/Median256:
  0.4169921875
- Accuracy/Median1024:
  0.41552734375
- Loss/Current:
  2.0693773756836435
- Loss/Median64:
  2.1403231795647706
- Loss/Median256:
  2.126789707807543
- Loss/Median1024:
  2.129991378227869
- Optimizer/Learning Rate:
  0.0008949079783633351
- Speed/Batches per Second:
  2.6763383912505265
- Speed/Parameters * Tokens per Day:
  204,764,343,644,891,552
- Speed/Tokens per Day:
  473,570,584.58428514
- Speed/Tokens Seen:
  32,485,376

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

run-558nc90bbt86lc9ayuyql6dq7l0h3t511-history:v0

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