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export MODEL_DIR="$(pwd)"
export DATA_PATH=/home/$USER/dataset
python3 run_summarization_flax.py \
--output_dir ${MODEL_DIR} \
--model_name_or_path ${MODEL_DIR}/flax_model.msgpack \
--config_name ${MODEL_DIR} \
--tokenizer_name ${MODEL_DIR} \
--train_file ${DATA_PATH}/train_sen_jsonlines.json \
--validation_file ${DATA_PATH}/val_sen_jsonlines.json \
--test_file ${DATA_PATH}/test_sen_jsonlines.json \
--do_train --do_eval --do_predict --predict_with_generate \
--num_train_epochs 3 \
--learning_rate 5e-5 --warmup_steps 0 \
--per_device_train_batch_size 8 \
--per_device_eval_batch_size 8 \
--overwrite_output_dir \
--max_source_length 256 \
--max_target_length 64 \
--text_column src \
--summary_column tgt \
--hub_model_id alvinwatner/bart-qg-alpha-interro \
--push_to_hub
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