roberta-base-mr / run.sh
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Saving weights and logs of step 500
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HUB_TOKEN=`cat $HOME/.huggingface/token`
python run_mlm_flax.py \
--output_dir="./" \
--model_type="roberta" \
--config_name="./" \
--tokenizer_name="./" \
--dataset_name="oscar" \
--dataset_config_name="unshuffled_deduplicated_als" \
--max_seq_length="128" \
--per_device_train_batch_size="4" \
--per_device_eval_batch_size="4" \
--learning_rate="3e-4" \
--warmup_steps="1000" \
--overwrite_output_dir \
--num_train_epochs="8" \
--push_to_hub_model_id="flax-community/roberta-base-mr" \
--push_to_hub_token="$HUB_TOKEN" \
--push_to_hub 2>&1 | tee run.log