FileNotFoundError: [Errno 2] No such file or directory: './checkpoints/videollava-7b-pretrain/mm_projector.bin'

[NmTamil2]

I cloned the repository Video-LLaVA to fine-tune video-llava-7b-hf. After cloning, I installed the required Python packages and tried running the scripts/v1.5/finetune_lora.sh script. However, I encountered the following error:

FileNotFoundError: [Errno 2] No such file or directory: './checkpoints/videollava-7b-pretrain/mm_projector.bin'

Can anyone help me resolve this issue? Thanks in advance!

Loading checkpoint shards: 100%|█████████████████████████████████████████████████████████| 2/2 [00:19<00:00, 9.71s/it] Adding LoRA adapters... Traceback (most recent call last): File "/workspace/Video-LLaVA/videollava/train/train_mem.py", line 13, in train() File "/workspace/Video-LLaVA/videollava/train/train.py", line 1003, in train model.get_model().initialize_vision_modules( File "/workspace/Video-LLaVA/videollava/model/llava_arch.py", line 118, in initialize_vision_modules mm_projector_weights = torch.load(pretrain_mm_mlp_adapter, map_location='cuda:0') File "/workspace/Video-LLaVA/VL7b_ftEnv/lib/python3.10/site-packages/torch/serialization.py", line 791, in load with _open_file_like(f, 'rb') as opened_file: File "/workspace/Video-LLaVA/VL7b_ftEnv/lib/python3.10/site-packages/torch/serialization.py", line 271, in _open_file_like return open_file(name_or_buffer, mode) File "/workspace/Video-LLaVA/VL7b_ftEnv/lib/python3.10/site-packages/torch/serialization.py", line 252, in init super().init(open(name, mode)) FileNotFoundError: [Errno 2] No such file or directory: './checkpoints/videollava-7b-pretrain/mm_projector.bin' [2025-02-24 11:44:59,757] [INFO] [launch.py:315:sigkill_handler] Killing subprocess 116598 [2025-02-24 11:44:59,757] [ERROR] [launch.py:321:sigkill_handler] ['/workspace/Video-LLaVA/VL7b_ftEnv/bin/python3', '-u', 'videollava/train/train_mem.py', '--local_rank=0', '--lora_enable', 'True', '--lora_r', '128', '--lora_alpha', '256', '--mm_projector_lr', '2e-5', '--deepspeed', './scripts/zero2_offload.json', '--model_name_or_path', '/workspace/Video-LLaVA/vicuna-7b-v1.5/models--lmsys--vicuna-7b-v1.5/snapshots/3321f76e3f527bd14065daf69dad9344000a201d', '--version', 'v1', '--data_path', '/workspace/Video-LLaVA/datasets/videochatgpt_tune.json', '/workspace/Video-LLaVA/datasets/nlp_tune.json', '--video_folder', '/workspace/Video-LLaVA/datasets/videos', '--video_tower', '/workspace/Video-LLaVA/LanguageBind_Video_merge', '--mm_projector_type', 'mlp2x_gelu', '--pretrain_mm_mlp_adapter', './checkpoints/videollava-7b-pretrain/mm_projector.bin', '--mm_vision_select_layer', '-2', '--mm_use_im_start_end', 'False', '--mm_use_im_patch_token', 'False', '--image_aspect_ratio', 'pad', '--group_by_modality_length', 'True', '--bf16', 'False', '--fp16', 'True', '--output_dir', './checkpoints/videollava-7b-lora', '--num_train_epochs', '1', '--per_device_train_batch_size', '2', '--per_device_eval_batch_size', '2', '--gradient_accumulation_steps', '1', '--evaluation_strategy', 'no', '--save_strategy', 'steps', '--save_steps', '50000', '--save_total_limit', '1', '--learning_rate', '2e-4', '--weight_decay', '0.', '--warmup_ratio', '0.03', '--lr_scheduler_type', 'cosine', '--logging_steps', '1', '--tf32', 'False', '--model_max_length', '2048', '--tokenizer_model_max_length', '3072', '--gradient_checkpointing', 'True', '--dataloader_num_workers', '4', '--lazy_preprocess', 'True', '--report_to', 'tensorboard', '--cache_dir', './cache_dir'] exits with return code = 1