export WANDB_MODE=disabled
export CUDA_LAUNCH_BLOCKING=0

DATASET=Instruments
CKPT_PATH=/datain/v-yinju/rq-llama/v3-train/Instruments/item_only_dv
DATA_PATH=/datain/v-yinju/rqvae-zzx/data
OUTPUT_DIR=$CKPT_PATH/finetune_0817

torchrun --nproc_per_node=8 fine-tune.py \
    --ckpt_path $CKPT_PATH \
    --output_dir $OUTPUT_DIR \
    --dataset $DATASET \
    --data_path $DATA_PATH \
    --per_device_batch_size 6 \
    --gradient_accumulation_steps 2 \
    --learning_rate 5e-4 \
    --epochs 20 \
    --weight_decay 0.01 \
    --save_and_eval_strategy epoch \
    --fp16 \
    --deepspeed ./config/ds_z2_fp16.json \
    --dataloader_num_workers 4 \
    --only_train_response \
    --re_index 29 \
    --tasks seqrec,itemsearch,preferenceobtain,item2index,index2item,fusionseqrec \
    --train_prompt_sample_num 1,1,1,1,1,1 \
    --train_data_sample_num 0,0,0,0,0,0 \
    --index_file $CKPT_PATH/indices.json

cd convert
nohup ./convert.sh $OUTPUT_DIR >convert.log 2>&1 &
cd ..

DATASET=Instruments
BASE_MODEL=/datain/v-yinju/llama-7b
DATA_PATH=/datain/v-yinju/rqvae-zzx/data
CKPT_PATH=/datain/v-yinju/rq-llama/v3-train/Instruments/item_only_dv/finetune_0817
RESULTS_FILE=$CKPT_PATH/eval_result.json

torchrun --nproc_per_node=8 evaluate-finetuned.py \
    --base_model $BASE_MODEL \
    --ckpt_path $CKPT_PATH \
    --dataset $DATASET \
    --data_path $DATA_PATH \
    --results_file $RESULTS_FILE \
    --test_batch_size 1 \
    --num_beams 20 \
    --test_prompt_ids all \
    --test_task seqrec \
    --index_file /datain/v-yinju/rq-llama/v3-train/Instruments/item_only_dv/indices.json

cd ~/rq-llama
source instruments_train.sh