#!/usr/bin/env bash
# Eval: LoRA v3 model (HuggingFace Hub adapter or local dir)
#
# Usage:
#   bash experiment/scripts/baselines/run_eval_lora_v3.sh
#   CUDA_VISIBLE_DEVICES=2 bash experiment/scripts/baselines/run_eval_lora_v3.sh
#
# Override adapter:
#   LORA_ADAPTER=./my_local_adapter bash ...

SCRIPT_DIR="$(cd "$(dirname "$0")" && pwd)"
source "${SCRIPT_DIR}/_common.sh"

NUM_PER_CATEGORY=50

LORA_ADAPTER="${LORA_ADAPTER:-pbcong/bathroom-toilet-300}"
EVAL_OUTPUT_DIR="${EVAL_OUTPUT_DIR:-./step4_baseline_outputs/compare_eval/lora_v3}"
ORIGINAL_CACHE_DIR="${ORIGINAL_CACHE_DIR:-./cached_original_outputs}"

echo "Using LoRA adapter: ${LORA_ADAPTER}"
mkdir -p "${EVAL_OUTPUT_DIR}"

python -m experiment.evaluation.validate \
    --model_type lora \
    --model_dir "${LORA_ADAPTER}" \
    --base_model_name "${BASE_MODEL}" \
    --dataset_id "${DATASET_ID}" \
    --num_per_category "${NUM_PER_CATEGORY}" \
    --mention_method "${MENTION_METHOD}" \
    --max_new_tokens "${MAX_NEW_TOKENS}" \
    --use_val_split \
    --prompts "Describe this image." \
    --train_prompts "Describe this image." \
    --generality_prompts "Give a detailed description of this image." \
    --original_cache_dir "${ORIGINAL_CACHE_DIR}" \
    --output_dir "${EVAL_OUTPUT_DIR}"