readme: ---
  language: no
  license: cc-by-4.0
  tags:
  - seq2seq
  datasets:
  - Norwegian Nynorsk/Bokmål
  ---
  # 🇳🇴 Norwegian T5 Base model Trained on the NCC🇳🇴  
  
  This is a Norwegian T5-base model trained on the Norwegian Colossal Corpus (NCC) on a TPU v3-8. It needs to be finetuned on a specific task before being used for anything.
  
  
   The following setting were used in training:
  ```bash
  ./run_t5_mlm_flax_streaming.py \
      --output_dir="./" \
      --model_type="t5" \
      --config_name="./" \
      --tokenizer_name="./" \
      --dataset_name="pere/norwegian_colossal_corpus_v2_short100k" \
      --max_seq_length="512" \
      --weight_decay="0.01" \
      --per_device_train_batch_size="32" \
      --per_device_eval_batch_size="32" \
      --learning_rate="8e-3" \
      --warmup_steps="0" \
      --overwrite_output_dir \
      --cache_dir /mnt/disks/flaxdisk/cache/ \
      --num_train_epochs="5" \
      --adam_beta1="0.9" \
      --adam_beta2="0.98" \
      --logging_steps="500" \
      --num_train_steps="1000000" \
      --num_eval_samples="5000" \
      --save_steps="5000" \
      --eval_steps="5000" \
      --preprocessing_num_workers 96 \
      --adafactor \
      --push_to_hub
   ```
  