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🇳🇴 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:
./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
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