scripts/eval-mgtv-llama3_8b_en.sh

#!/bin/sh

BASEDIR=$(dirname "$0")
cd $BASEDIR/..
echo Current Directory:
pwd

BASEDIR=`pwd`

nvidia-smi
uname -a
cat /etc/os-release
lscpu
grep MemTotal /proc/meminfo

#pip install -r requirements.txt
#cd ../LLaMA-Factory && pip install -e .[torch,bitsandbytes]

export LOGICAL_REASONING_DATA_PATH=datasets/mgtv
export RESIZE_TOKEN_EMBEDDINGS=true
export START_EPOCH=0
export USING_LLAMA_FACTORY=true

export USE_ENGLISH_DATASETS=true
export USE_BF16_FOR_INFERENCE=true

export MODEL_NAME=meta-llama/Meta-Llama-3.1-8B-Instruct
export MODEL_PREFIX=llama3-8b_lora_sft_bf16

export LOGICAL_REASONING_RESULTS_PATH=results/$MODEL_PREFIX-p1_en_r2.csv
export ADAPTER_PATH_BASE=llama-factory/saves/llama3-8b/lora/sft_bf16_p1_full_en_r2
export USING_P1_PROMPT_TEMPLATE=true
echo "Eval $MODEL_NAME with $ADAPTER_PATH_BASE"
python llm_toolkit/eval_logical_reasoning_all_epochs.py

export LOGICAL_REASONING_RESULTS_PATH=results/$MODEL_PREFIX-p2_en_r2.csv
export ADAPTER_PATH_BASE=llama-factory/saves/llama3-8b/lora/sft_bf16_p2_full_en_r2
export USING_P1_PROMPT_TEMPLATE=false
echo "Eval $MODEL_NAME with $ADAPTER_PATH_BASE"
python llm_toolkit/eval_logical_reasoning_all_epochs.py