norwegian-t5-base-NCC-nb-nn / run_recover_1e.sh
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Saving weights and logs of step 2500
d9de13a
./run_t5_mlm_flax.py \
--output_dir="./" \
--model_type="t5" \
--model_name_or_path="." \
--config_name="./" \
--tokenizer_name="./" \
--train_file /mnt/disks/flaxdisk/NCC_nb_nn_balanced/nb_nn_balanced_shuffled_100k_train.json \
--validation_file /mnt/disks/flaxdisk/NCC_nb_nn_balanced/nb_nn_balanced_shuffled_100k_validation.json \
--max_seq_length="512" \
--weight_decay="0.01" \
--per_device_train_batch_size="32" \
--per_device_eval_batch_size="32" \
--learning_rate="0.006964816711843014" \
--warmup_steps="0" \
--overwrite_output_dir \
--cache_dir /mnt/disks/flaxdisk/cache/ \
--num_train_epochs="14" \
--adam_beta1="0.9" \
--adam_beta2="0.98" \
--logging_steps="500" \
--save_steps="2500" \
--eval_steps="2500" \
--preprocessing_num_workers 96 \
--adafactor \
--push_to_hub