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triviaqa-0vec.sh
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triviaqa-0vec.sh
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export TRANSFORMERS_CACHE=~/.cache/huggingface/
export HF_DATASETS_CACHE=~/.cache/huggingface/datasets
export WANDB_DISABLED=true
# You might want to change it to [huggingface repo] or [your local path].
MODEL_NAME=~/models/bloomz-1b7;
OUTPUT_DIR="output/triviaqa_bloomz1b_5k_0vec";
mkdir -p $OUTPUT_DIR;
python -u \
./src/run_clm.py \
--model_name_or_path $MODEL_NAME \
--learning_rate 2e-5 \
--warmup_ratio 0.03 \
--lr_scheduler_type "cosine" \
--per_device_train_batch_size 1 \
--per_device_eval_batch_size 4 \
--fp16 True \
--fp16_full_eval True \
--do_train \
--do_eval \
--output_dir $OUTPUT_DIR \
--overwrite_output_dir \
--train_file ./data/triviaqa_train_fullk_rest_online_template.txt.json \
--validation_file ./data/triviaqa_dev_fullk_rest_online_template.txt.json \
--prompt_max_length 2048 \
--answer_max_length 512 \
--num_train_epochs 5 \
--save_strategy steps \
--save_steps 6000 \
--save_total_limit 10 \
--metric_for_best_model eval_loss \
--greater_is_better False \
--load_best_model_at_end True \
--evaluation_strategy steps \
--eval_steps 6000 \
--logging_steps 6000 \
--gradient_accumulation_steps 2 \
--eval_accumulation_steps 4 \
--use_vector_num 0 \
--preprocessing_num_workers 8 \
--train_encoder False \
--train_decoder True \
--report_to none