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#!/bin/bash
#SBATCH --job-name=eval
#SBATCH --output=job/internvl3_8b_fine_tune_coco_job_output_%j.txt
#SBATCH --error=job/internvl3_8b_fine_tune_coco_job_error_%j.txt
#SBATCH --time=36:00:00
#SBATCH --ntasks=1
#SBATCH --partition=camera-long
#SBATCH --ntasks-per-node=1
#SBATCH --nodes=1
#SBATCH --gres=gpu:h200:1
#SBATCH --mail-type=ALL
#SBATCH --mail-user=ym621@ic.ac.uk
#SBATCH --qos=normal
cd /home/m50048399/transfered/ye_project/UniPointMap
/home/m50048399/anaconda3/bin/conda init bash
source ~/.bashrc
conda activate sceneverse
# ==== USER SETTINGS ====
CONFIG="configs/final/finetune/hypo3d_finetune.yaml"
NOTE="hypo3d_sft_align_run1"
EXP_NAME="hypo3d_sft_align_run1"
# ==== SAFETY ====
set -e
set -o pipefail
# ==== OUTPUT LOGGING ====
TIMESTAMP=$(date +%Y%m%d_%H%M%S)
LOGDIR="logs"
mkdir -p "$LOGDIR"
LOGFILE="$LOGDIR/${EXP_NAME}_${NOTE}_$TIMESTAMP.log"
# ==== EXPERIMENT DIRECTORY ====
EXP_DIR="results/${EXP_NAME}_${NOTE}"
echo "[INFO] Starting training: $EXP_NAME ($NOTE)"
echo "[INFO] Logging to: $LOGFILE"
echo "[INFO] Experiment directory: $EXP_DIR"
# export WANDB_MODE=disabled
# export TRANSFORMERS_OFFLINE=0
# ==== LAUNCH ====
python launch.py --mode accelerate --gpu_per_node 1 --num_nodes 1 \
--config $CONFIG \
note=$NOTE \
name=$EXP_NAME
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