roberta-base-mr / run.sh
nipunsadvilkar's picture
Large model with 10% validation set
e307ddc
HUB_TOKEN=`cat $HOME/.huggingface/token`
./run_mlm_flax.py \
--output_dir="${MODEL_DIR}" \
--model_type="roberta" \
--config_name="${MODEL_DIR}" \
--tokenizer_name="${MODEL_DIR}" \
--train_file="/home/nipunsadvilkar/mr_data/mr_train_punctrm.csv" \
--validation_split_percentage=10 \
--max_seq_length="128" \
--weight_decay="0.01" \
--per_device_train_batch_size="128" \
--per_device_eval_batch_size="128" \
--learning_rate="3e-4" \
--warmup_steps="1000" \
--overwrite_output_dir \
--num_train_epochs="18" \
--adam_beta1="0.9" \
--adam_beta2="0.98" \
--logging_steps="500" \
--save_steps="2500" \
--eval_steps="2500" \
--preprocessing_num_workers=80 2>&1 | tee run.log