update file path

examples/train_lora/qwen2_5vl_deepspeed_lora_sft.sh

@@ -5,7 +5,7 @@ OUTPUT_DIR=outputs/qwen2.5-vl-3b-${DATESTR}
 CACHE_DIR=cache
 MASTER_PORT=$(shuf -n 1 -i 10000-65535)
 
-export HIP_VISIBLE_DEVICES=4,5,6,7
+export HIP_VISIBLE_DEVICES=0,1,2,3,4,5,6,7
 export HSA_FORCE_FINE_GRAIN_PCIE=1
 export NCCL_LAUNCH_MODE=GROUP
 export TORCH_NCCL_TIMEOUT=3600000
@@ -28,7 +28,7 @@ deepspeed --num_gpus 4 --num_nodes 1 --master_port=$MASTER_PORT src/train.py \
     --lora_target all \
     --resize_vocab True \
     --optim adamw_torch \
-    --model_name_or_path /workspace/DL_DATA/llm-models/qwen2.5/Qwen2.5-VL-3B-Instruct \
+    --model_name_or_path /workspace/models/Qwen2.5-VL-3B-Instruct \
     --dataset coco2017_train \
     --template qwen2_vl \
     --finetuning_type lora \

scripts/convert_coco2017_captions.py

@@ -33,8 +33,8 @@ def main():
     output_jsonl = args.output
     human_prompt = args.prompt
 
-    caption_json = os.path.join(coco_root, "annotations_new/captions_train2017.json")
-    image_dir = os.path.join(coco_root, "images/train2017")
+    caption_json = os.path.join(coco_root, "annotations/captions_train2017.json")
+    image_dir = os.path.join(coco_root, "train2017")
 
     assert os.path.exists(caption_json), f"Caption file not found: {caption_json}"
     assert os.path.exists(image_dir), f"Image dir not found: {image_dir}"