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generic prompt results
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#!/bin/sh
BASEDIR=$(dirname "$0")
cd $BASEDIR/..
echo Current Directory:
pwd
nvidia-smi
uname -a
cat /etc/os-release
lscpu
grep MemTotal /proc/meminfo
cd ../rapget-v2; python eval_modules/calc_bert_scores.py; cd -
#pip install torch torchvision torchaudio
# pip install -r requirements.txt
export BATCH_SIZE=1
export LOAD_IN_4BIT=true
# ./scripts/eval-model.sh Qwen/Qwen2-72B-Instruct
# ./scripts/eval-model.sh shenzhi-wang/Llama3.1-70B-Chinese-Chat
# export CHECKPOINTS_PER_EPOCH=4
# ./scripts/eval-epochs.sh Qwen Qwen2-72B-Instruct
# export CHECKPOINTS_PER_EPOCH=1
# ./scripts/eval-epochs.sh shenzhi-wang Llama3.1-70B-Chinese-Chat
export MAX_NEW_TOKENS=2048
export START_REPETITION_PENALTY=1.0
export END_REPETITION_PENALTY=1.1
export USING_CHAT_TEMPLATE=false
export RESULTS_PATH=results/mac-results_rpp_with_mnt_2048_generic_prompt.csv
# export USING_CHAT_TEMPLATE=true
# export RESULTS_PATH=results/mac-results_rpp_with_mnt_2048.csv
#./scripts/eval-rpp.sh shenzhi-wang Llama3.1-70B-Chinese-Chat checkpoint-210
./scripts/eval-rpp.sh Qwen Qwen2-72B-Instruct checkpoint-560