metadata

language: nl
widget:
  - text: In het jaar 2030 zullen we
  - text: Toen ik gisteren volledig in de ban was van
  - text: >-
      Studenten en leraren van de Bogazici Universiteit in de Turkse stad
      Istanbul
  - text: In Israël was een strenge lockdown
tags:
  - gpt-neo-1.3B
  - gpt-neo
pipeline_tag: text-generation
datasets:
  - yhavinga/mc4_nl_cleaned

GPT Neo 1.3B pre-trained on cleaned Dutch mC4 🇳🇱

NB: Training in progress.

Dataset:

mC4 NL Cleaned
dataset config: tiny (3B tokens)
dataset config: full (33B tokens)

Tokenizer:

Tokenizer trained on mC4 with scripts from the Huggingface Transformers Flax examples

Training details:

Trained for 70K steps (batch size 64) to ppl 27 on mc4 nl tiny 1 epoch
Trained for 760K steps (batch size 16) to ppl 16.8 on mc4 nl full
Training continuing
Block size: 512
Optimizer: adafactor
lr: 5e-5
Warmup steps: 5000

Work in progress. Jan 2022

Many thanks to the Google TPU Research Cloud for providing access to a TPU cluster!
Thanks to @gsarti for creating the t5-flax-gcp repository.
Also thanks to the creators of gpt2-medium-persian and gpt2-medium-indonesian for sharing their training scripts!