ptuning/evaluate.sh

PRE_SEQ_LEN=128
CHECKPOINT=adgen-chatglm-6b-pt-128-2e-2
STEP=1000

CUDA_VISIBLE_DEVICES=0 python main.py \
    --do_predict \
    --train_file .\\datasets\\AdvertiseGen\\train.json \
    --validation_file .\\datasets\\AdvertiseGen\\dev.json \
    --test_file .\\datasets\\AdvertiseGen\\dev.json \
    --overwrite_cache \
    --prompt_column content \
    --response_column summary \
    --model_name_or_path ..\\models\\chatglm-6b-int4 \
    --ptuning_checkpoint .\\output\\$CHECKPOINT\\checkpoint-$STEP \
    --output_dir .\\output\\$CHECKPOINT \
    --overwrite_output_dir \
    --max_source_length 64 \
    --max_target_length 64 \
    --per_device_eval_batch_size 1 \
    --predict_with_generate \
    --pre_seq_len $PRE_SEQ_LEN \
    --quantization_bit 4