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logs_oct11/LICENSE

@@ -0,0 +1,201 @@
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+   Copyright [TinyLLaVA]
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logs_oct11/eval_qwen2.5-0_5b_base_masktune_42_llm-connector_text-1.0_2.3_2e-1_connector-1.0_2.3_2e-1_ablation_20251012_164611.log

@@ -0,0 +1,219 @@
+==== STARTING EXPERIMENT: eval_qwen2.5-0_5b_base_masktune_42_llm-connector_text-1.0_2.3_2e-1_connector-1.0_2.3_2e-1_ablation ====
+Log File: eval_qwen2.5-0_5b_base_masktune_42_llm-connector_text-1.0_2.3_2e-1_connector-1.0_2.3_2e-1_ablation_20251012_164611.log
+Timestamp: 2025-10-12 16:46:11
+=====================================
+Processing: /nfs/ywang29/TinyLLaVA/checkpoints/qwen2.5-0_5b_base_masktune_42_llm-connector_text-1.0_2.3_2e-1_connector-1.0_2.3_2e-1_ablation
+/opt/conda/envs/tinyllava/lib/python3.10/site-packages/torch/cuda/__init__.py:51: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
+  import pynvml  # type: ignore[import]
+[2025-10-12 16:46:14,468] [INFO] [real_accelerator.py:191:get_accelerator] Setting ds_accelerator to cuda (auto detect)
+Traceback (most recent call last):
+  File "/nfs/ywang29/TinyLLaVA/scripts/apply_masks.py", line 488, in <module>
+    main()
+  File "/nfs/ywang29/TinyLLaVA/scripts/apply_masks.py", line 123, in main
+    config_mask = TinyLlavaConfig.from_pretrained(model_args.mask_model_name_or_path)
+  File "/nfs/ywang29/TinyLLaVA/transformers/src/transformers/configuration_utils.py", line 602, in from_pretrained
+    config_dict, kwargs = cls.get_config_dict(pretrained_model_name_or_path, **kwargs)
+  File "/nfs/ywang29/TinyLLaVA/transformers/src/transformers/configuration_utils.py", line 631, in get_config_dict
+    config_dict, kwargs = cls._get_config_dict(pretrained_model_name_or_path, **kwargs)
+  File "/nfs/ywang29/TinyLLaVA/transformers/src/transformers/configuration_utils.py", line 686, in _get_config_dict
+    resolved_config_file = cached_file(
+  File "/nfs/ywang29/TinyLLaVA/transformers/src/transformers/utils/hub.py", line 369, in cached_file
+    raise EnvironmentError(
+OSError: /nfs/ywang29/TinyLLaVA/checkpoints/qwen2.5-0_5b_base_masktune_42_llm-connector_text-1.0_2.3_2e-1_connector-1.0_2.3_2e-1_ablation does not appear to have a file named config.json. Checkout 'https://huggingface.co//nfs/ywang29/TinyLLaVA/checkpoints/qwen2.5-0_5b_base_masktune_42_llm-connector_text-1.0_2.3_2e-1_connector-1.0_2.3_2e-1_ablation/tree/main' for available files.
+/opt/conda/envs/tinyllava/lib/python3.10/site-packages/torch/cuda/__init__.py:51: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
+  import pynvml  # type: ignore[import]
+[2025-10-12 16:46:21,768] [INFO] [real_accelerator.py:191:get_accelerator] Setting ds_accelerator to cuda (auto detect)
+Traceback (most recent call last):
+  File "/nfs/ywang29/TinyLLaVA/transformers/src/transformers/utils/hub.py", line 398, in cached_file
+    resolved_file = hf_hub_download(
+  File "/opt/conda/envs/tinyllava/lib/python3.10/site-packages/huggingface_hub/utils/_validators.py", line 106, in _inner_fn
+    validate_repo_id(arg_value)
+  File "/opt/conda/envs/tinyllava/lib/python3.10/site-packages/huggingface_hub/utils/_validators.py", line 154, in validate_repo_id
+    raise HFValidationError(
+huggingface_hub.errors.HFValidationError: Repo id must be in the form 'repo_name' or 'namespace/repo_name': '/nfs/ywang29/TinyLLaVA/checkpoints/qwen2.5-0_5b_base_masktune_42_llm-connector_text-1.0_2.3_2e-1_connector-1.0_2.3_2e-1_ablation/mask_applied'. Use `repo_type` argument if needed.
+
+The above exception was the direct cause of the following exception:
+
+Traceback (most recent call last):
+  File "/nfs/ywang29/TinyLLaVA/tinyllava/model/load_model.py", line 38, in load_pretrained_model
+    model = TinyLlavaForConditionalGeneration.from_pretrained(model_name_or_path,low_cpu_mem_usage=True)
+  File "/nfs/ywang29/TinyLLaVA/transformers/src/transformers/modeling_utils.py", line 3015, in from_pretrained
+    resolved_config_file = cached_file(
+  File "/nfs/ywang29/TinyLLaVA/transformers/src/transformers/utils/hub.py", line 462, in cached_file
+    raise EnvironmentError(
+OSError: Incorrect path_or_model_id: '/nfs/ywang29/TinyLLaVA/checkpoints/qwen2.5-0_5b_base_masktune_42_llm-connector_text-1.0_2.3_2e-1_connector-1.0_2.3_2e-1_ablation/mask_applied'. Please provide either the path to a local folder or the repo_id of a model on the Hub.
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+  File "/nfs/ywang29/TinyLLaVA/transformers/src/transformers/utils/hub.py", line 398, in cached_file
+    resolved_file = hf_hub_download(
+  File "/opt/conda/envs/tinyllava/lib/python3.10/site-packages/huggingface_hub/utils/_validators.py", line 106, in _inner_fn
+    validate_repo_id(arg_value)
+  File "/opt/conda/envs/tinyllava/lib/python3.10/site-packages/huggingface_hub/utils/_validators.py", line 154, in validate_repo_id
+    raise HFValidationError(
+huggingface_hub.errors.HFValidationError: Repo id must be in the form 'repo_name' or 'namespace/repo_name': '/nfs/ywang29/TinyLLaVA/checkpoints/qwen2.5-0_5b_base_masktune_42_llm-connector_text-1.0_2.3_2e-1_connector-1.0_2.3_2e-1_ablation/mask_applied'. Use `repo_type` argument if needed.
+
+The above exception was the direct cause of the following exception:
+
+Traceback (most recent call last):
+  File "/opt/conda/envs/tinyllava/lib/python3.10/runpy.py", line 196, in _run_module_as_main
+    return _run_code(code, main_globals, None,
+  File "/opt/conda/envs/tinyllava/lib/python3.10/runpy.py", line 86, in _run_code
+    exec(code, run_globals)
+  File "/nfs/ywang29/TinyLLaVA/tinyllava/eval/model_vqa_mmmu.py", line 180, in <module>
+    eval_model(args)
+  File "/nfs/ywang29/TinyLLaVA/tinyllava/eval/model_vqa_mmmu.py", line 88, in eval_model
+    model, tokenizer, image_processor, context_len = load_pretrained_model(model_path)
+  File "/nfs/ywang29/TinyLLaVA/tinyllava/model/load_model.py", line 40, in load_pretrained_model
+    model_config = TinyLlavaConfig.from_pretrained(model_name_or_path)
+  File "/nfs/ywang29/TinyLLaVA/transformers/src/transformers/configuration_utils.py", line 602, in from_pretrained
+    config_dict, kwargs = cls.get_config_dict(pretrained_model_name_or_path, **kwargs)
+  File "/nfs/ywang29/TinyLLaVA/transformers/src/transformers/configuration_utils.py", line 631, in get_config_dict
+    config_dict, kwargs = cls._get_config_dict(pretrained_model_name_or_path, **kwargs)
+  File "/nfs/ywang29/TinyLLaVA/transformers/src/transformers/configuration_utils.py", line 686, in _get_config_dict
+    resolved_config_file = cached_file(
+  File "/nfs/ywang29/TinyLLaVA/transformers/src/transformers/utils/hub.py", line 462, in cached_file
+    raise EnvironmentError(
+OSError: Incorrect path_or_model_id: '/nfs/ywang29/TinyLLaVA/checkpoints/qwen2.5-0_5b_base_masktune_42_llm-connector_text-1.0_2.3_2e-1_connector-1.0_2.3_2e-1_ablation/mask_applied'. Please provide either the path to a local folder or the repo_id of a model on the Hub.
+Traceback (most recent call last):
+  File "/nfs/ywang29/TinyLLaVA/scripts/convert_answer_to_mmmu.py", line 31, in <module>
+    eval_model(args)
+  File "/nfs/ywang29/TinyLLaVA/scripts/convert_answer_to_mmmu.py", line 7, in eval_model
+    answers = [json.loads(q) for q in open(os.path.expanduser(args.answers_file), "r")]
+FileNotFoundError: [Errno 2] No such file or directory: '/s3-code/ywang29/datasets/tinyllava/eval/MMMU/answers/qwen2.5-0_5b_base_masktune_42_llm-connector_text-1.0_2.3_2e-1_connector-1.0_2.3_2e-1_ablation-mask_applied.jsonl'
+Traceback (most recent call last):
+  File "/s3-code/ywang29/datasets/tinyllava/eval/MMMU/eval/main_eval_only.py", line 19, in <module>
+    output_dict = json.load(open(args.output_path))
+FileNotFoundError: [Errno 2] No such file or directory: '/s3-code/ywang29/datasets/tinyllava/eval/MMMU/answers/qwen2.5-0_5b_base_masktune_42_llm-connector_text-1.0_2.3_2e-1_connector-1.0_2.3_2e-1_ablation-mask_applied_output.json'
+/opt/conda/envs/tinyllava/lib/python3.10/site-packages/torch/cuda/__init__.py:51: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
+  import pynvml  # type: ignore[import]
+[2025-10-12 16:46:28,066] [INFO] [real_accelerator.py:191:get_accelerator] Setting ds_accelerator to cuda (auto detect)
+Traceback (most recent call last):
+  File "/nfs/ywang29/TinyLLaVA/transformers/src/transformers/utils/hub.py", line 398, in cached_file
+    resolved_file = hf_hub_download(
+  File "/opt/conda/envs/tinyllava/lib/python3.10/site-packages/huggingface_hub/utils/_validators.py", line 106, in _inner_fn
+    validate_repo_id(arg_value)
+  File "/opt/conda/envs/tinyllava/lib/python3.10/site-packages/huggingface_hub/utils/_validators.py", line 154, in validate_repo_id
+    raise HFValidationError(
+huggingface_hub.errors.HFValidationError: Repo id must be in the form 'repo_name' or 'namespace/repo_name': '/nfs/ywang29/TinyLLaVA/checkpoints/qwen2.5-0_5b_base_masktune_42_llm-connector_text-1.0_2.3_2e-1_connector-1.0_2.3_2e-1_ablation/mask_applied'. Use `repo_type` argument if needed.
+
+The above exception was the direct cause of the following exception:
+
+Traceback (most recent call last):
+  File "/nfs/ywang29/TinyLLaVA/tinyllava/model/load_model.py", line 38, in load_pretrained_model
+    model = TinyLlavaForConditionalGeneration.from_pretrained(model_name_or_path,low_cpu_mem_usage=True)
+  File "/nfs/ywang29/TinyLLaVA/transformers/src/transformers/modeling_utils.py", line 3015, in from_pretrained
+    resolved_config_file = cached_file(
+  File "/nfs/ywang29/TinyLLaVA/transformers/src/transformers/utils/hub.py", line 462, in cached_file
+    raise EnvironmentError(
+OSError: Incorrect path_or_model_id: '/nfs/ywang29/TinyLLaVA/checkpoints/qwen2.5-0_5b_base_masktune_42_llm-connector_text-1.0_2.3_2e-1_connector-1.0_2.3_2e-1_ablation/mask_applied'. Please provide either the path to a local folder or the repo_id of a model on the Hub.
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+  File "/nfs/ywang29/TinyLLaVA/transformers/src/transformers/utils/hub.py", line 398, in cached_file
+    resolved_file = hf_hub_download(
+  File "/opt/conda/envs/tinyllava/lib/python3.10/site-packages/huggingface_hub/utils/_validators.py", line 106, in _inner_fn
+    validate_repo_id(arg_value)
+  File "/opt/conda/envs/tinyllava/lib/python3.10/site-packages/huggingface_hub/utils/_validators.py", line 154, in validate_repo_id
+    raise HFValidationError(
+huggingface_hub.errors.HFValidationError: Repo id must be in the form 'repo_name' or 'namespace/repo_name': '/nfs/ywang29/TinyLLaVA/checkpoints/qwen2.5-0_5b_base_masktune_42_llm-connector_text-1.0_2.3_2e-1_connector-1.0_2.3_2e-1_ablation/mask_applied'. Use `repo_type` argument if needed.
+
+The above exception was the direct cause of the following exception:
+
+Traceback (most recent call last):
+  File "/opt/conda/envs/tinyllava/lib/python3.10/runpy.py", line 196, in _run_module_as_main
+    return _run_code(code, main_globals, None,
+  File "/opt/conda/envs/tinyllava/lib/python3.10/runpy.py", line 86, in _run_code
+    exec(code, run_globals)
+  File "/nfs/ywang29/TinyLLaVA/tinyllava/eval/model_vqa_loader.py", line 146, in <module>
+    eval_model(args)
+  File "/nfs/ywang29/TinyLLaVA/tinyllava/eval/model_vqa_loader.py", line 79, in eval_model
+    model, tokenizer, image_processor, context_len = load_pretrained_model(model_path)
+  File "/nfs/ywang29/TinyLLaVA/tinyllava/model/load_model.py", line 40, in load_pretrained_model
+    model_config = TinyLlavaConfig.from_pretrained(model_name_or_path)
+  File "/nfs/ywang29/TinyLLaVA/transformers/src/transformers/configuration_utils.py", line 602, in from_pretrained
+    config_dict, kwargs = cls.get_config_dict(pretrained_model_name_or_path, **kwargs)
+  File "/nfs/ywang29/TinyLLaVA/transformers/src/transformers/configuration_utils.py", line 631, in get_config_dict
+    config_dict, kwargs = cls._get_config_dict(pretrained_model_name_or_path, **kwargs)
+  File "/nfs/ywang29/TinyLLaVA/transformers/src/transformers/configuration_utils.py", line 686, in _get_config_dict
+    resolved_config_file = cached_file(
+  File "/nfs/ywang29/TinyLLaVA/transformers/src/transformers/utils/hub.py", line 462, in cached_file
+    raise EnvironmentError(
+OSError: Incorrect path_or_model_id: '/nfs/ywang29/TinyLLaVA/checkpoints/qwen2.5-0_5b_base_masktune_42_llm-connector_text-1.0_2.3_2e-1_connector-1.0_2.3_2e-1_ablation/mask_applied'. Please provide either the path to a local folder or the repo_id of a model on the Hub.
+Traceback (most recent call last):
+  File "/s3-code/ywang29/datasets/tinyllava/eval/MME/convert_answer_to_mme.py", line 52, in <module>
+    answers = [json.loads(line) for line in open(os.path.join('answers', f'{experiment}.jsonl'))]
+FileNotFoundError: [Errno 2] No such file or directory: 'answers/qwen2.5-0_5b_base_masktune_42_llm-connector_text-1.0_2.3_2e-1_connector-1.0_2.3_2e-1_ablation-mask_applied.jsonl'
+=========== Perception ===========
+Traceback (most recent call last):
+  File "/s3-code/ywang29/datasets/tinyllava/eval/MME/eval_tool/calculation.py", line 164, in <module>
+    cal.process_result(results_dir)
+  File "/s3-code/ywang29/datasets/tinyllava/eval/MME/eval_tool/calculation.py", line 98, in process_result
+    lines = open(task_txt, 'r').readlines()
+FileNotFoundError: [Errno 2] No such file or directory: 'answers/qwen2.5-0_5b_base_masktune_42_llm-connector_text-1.0_2.3_2e-1_connector-1.0_2.3_2e-1_ablation-mask_applied/existence.txt'
+/opt/conda/envs/tinyllava/lib/python3.10/site-packages/torch/cuda/__init__.py:51: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
+  import pynvml  # type: ignore[import]
+[2025-10-12 16:47:34,409] [INFO] [real_accelerator.py:191:get_accelerator] Setting ds_accelerator to cuda (auto detect)
+Traceback (most recent call last):
+  File "/nfs/ywang29/TinyLLaVA/transformers/src/transformers/utils/hub.py", line 398, in cached_file
+    resolved_file = hf_hub_download(
+  File "/opt/conda/envs/tinyllava/lib/python3.10/site-packages/huggingface_hub/utils/_validators.py", line 106, in _inner_fn
+    validate_repo_id(arg_value)
+  File "/opt/conda/envs/tinyllava/lib/python3.10/site-packages/huggingface_hub/utils/_validators.py", line 154, in validate_repo_id
+    raise HFValidationError(
+huggingface_hub.errors.HFValidationError: Repo id must be in the form 'repo_name' or 'namespace/repo_name': '/nfs/ywang29/TinyLLaVA/checkpoints/qwen2.5-0_5b_base_masktune_42_llm-connector_text-1.0_2.3_2e-1_connector-1.0_2.3_2e-1_ablation/mask_applied'. Use `repo_type` argument if needed.
+
+The above exception was the direct cause of the following exception:
+
+Traceback (most recent call last):
+  File "/nfs/ywang29/TinyLLaVA/tinyllava/model/load_model.py", line 38, in load_pretrained_model
+    model = TinyLlavaForConditionalGeneration.from_pretrained(model_name_or_path,low_cpu_mem_usage=True)
+  File "/nfs/ywang29/TinyLLaVA/transformers/src/transformers/modeling_utils.py", line 3015, in from_pretrained
+    resolved_config_file = cached_file(
+  File "/nfs/ywang29/TinyLLaVA/transformers/src/transformers/utils/hub.py", line 462, in cached_file
+    raise EnvironmentError(
+OSError: Incorrect path_or_model_id: '/nfs/ywang29/TinyLLaVA/checkpoints/qwen2.5-0_5b_base_masktune_42_llm-connector_text-1.0_2.3_2e-1_connector-1.0_2.3_2e-1_ablation/mask_applied'. Please provide either the path to a local folder or the repo_id of a model on the Hub.
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+  File "/nfs/ywang29/TinyLLaVA/transformers/src/transformers/utils/hub.py", line 398, in cached_file
+    resolved_file = hf_hub_download(
+  File "/opt/conda/envs/tinyllava/lib/python3.10/site-packages/huggingface_hub/utils/_validators.py", line 106, in _inner_fn
+    validate_repo_id(arg_value)
+  File "/opt/conda/envs/tinyllava/lib/python3.10/site-packages/huggingface_hub/utils/_validators.py", line 154, in validate_repo_id
+    raise HFValidationError(
+huggingface_hub.errors.HFValidationError: Repo id must be in the form 'repo_name' or 'namespace/repo_name': '/nfs/ywang29/TinyLLaVA/checkpoints/qwen2.5-0_5b_base_masktune_42_llm-connector_text-1.0_2.3_2e-1_connector-1.0_2.3_2e-1_ablation/mask_applied'. Use `repo_type` argument if needed.
+
+The above exception was the direct cause of the following exception:
+
+Traceback (most recent call last):
+  File "/opt/conda/envs/tinyllava/lib/python3.10/runpy.py", line 196, in _run_module_as_main
+    return _run_code(code, main_globals, None,
+  File "/opt/conda/envs/tinyllava/lib/python3.10/runpy.py", line 86, in _run_code
+    exec(code, run_globals)
+  File "/nfs/ywang29/TinyLLaVA/tinyllava/eval/model_vqa_science.py", line 108, in <module>
+    eval_model(args)
+  File "/nfs/ywang29/TinyLLaVA/tinyllava/eval/model_vqa_science.py", line 31, in eval_model
+    model, tokenizer, image_processor, context_len = load_pretrained_model(model_path)
+  File "/nfs/ywang29/TinyLLaVA/tinyllava/model/load_model.py", line 40, in load_pretrained_model
+    model_config = TinyLlavaConfig.from_pretrained(model_name_or_path)
+  File "/nfs/ywang29/TinyLLaVA/transformers/src/transformers/configuration_utils.py", line 602, in from_pretrained
+    config_dict, kwargs = cls.get_config_dict(pretrained_model_name_or_path, **kwargs)
+  File "/nfs/ywang29/TinyLLaVA/transformers/src/transformers/configuration_utils.py", line 631, in get_config_dict
+    config_dict, kwargs = cls._get_config_dict(pretrained_model_name_or_path, **kwargs)
+  File "/nfs/ywang29/TinyLLaVA/transformers/src/transformers/configuration_utils.py", line 686, in _get_config_dict
+    resolved_config_file = cached_file(
+  File "/nfs/ywang29/TinyLLaVA/transformers/src/transformers/utils/hub.py", line 462, in cached_file
+    raise EnvironmentError(
+OSError: Incorrect path_or_model_id: '/nfs/ywang29/TinyLLaVA/checkpoints/qwen2.5-0_5b_base_masktune_42_llm-connector_text-1.0_2.3_2e-1_connector-1.0_2.3_2e-1_ablation/mask_applied'. Please provide either the path to a local folder or the repo_id of a model on the Hub.
+Traceback (most recent call last):
+  File "/nfs/ywang29/TinyLLaVA/tinyllava/eval/eval_science_qa.py", line 45, in <module>
+    predictions = [json.loads(line) for line in open(args.result_file)]
+FileNotFoundError: [Errno 2] No such file or directory: '/s3-code/ywang29/datasets/tinyllava/eval/scienceqa/answers/qwen2.5-0_5b_base_masktune_42_llm-connector_text-1.0_2.3_2e-1_connector-1.0_2.3_2e-1_ablation-mask_applied.jsonl'
+==== EXPERIMENT COMPLETED: eval_qwen2.5-0_5b_base_masktune_42_llm-connector_text-1.0_2.3_2e-1_connector-1.0_2.3_2e-1_ablation ====
+Log File: eval_qwen2.5-0_5b_base_masktune_42_llm-connector_text-1.0_2.3_2e-1_connector-1.0_2.3_2e-1_ablation_20251012_164611.log
+Timestamp: 2025-10-12 16:47:37
+=====================================

logs_oct11/eval_qwen2.5-0_5b_base_masktune_42_llm-connector_text-1.0_2.9_2e-1_connector-1.0_2.9_2e-1_ablation_20251012_173957.log

@@ -0,0 +1,219 @@
+==== STARTING EXPERIMENT: eval_qwen2.5-0_5b_base_masktune_42_llm-connector_text-1.0_2.9_2e-1_connector-1.0_2.9_2e-1_ablation ====
+Log File: eval_qwen2.5-0_5b_base_masktune_42_llm-connector_text-1.0_2.9_2e-1_connector-1.0_2.9_2e-1_ablation_20251012_173957.log
+Timestamp: 2025-10-12 17:39:57
+=====================================
+Processing: /nfs/ywang29/TinyLLaVA/checkpoints/qwen2.5-0_5b_base_masktune_42_llm-connector_text-1.0_2.9_2e-1_connector-1.0_2.9_2e-1_ablation
+/opt/conda/envs/tinyllava/lib/python3.10/site-packages/torch/cuda/__init__.py:51: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
+  import pynvml  # type: ignore[import]
+[2025-10-12 17:40:00,477] [INFO] [real_accelerator.py:191:get_accelerator] Setting ds_accelerator to cuda (auto detect)
+Traceback (most recent call last):
+  File "/nfs/ywang29/TinyLLaVA/scripts/apply_masks.py", line 488, in <module>
+    main()
+  File "/nfs/ywang29/TinyLLaVA/scripts/apply_masks.py", line 123, in main
+    config_mask = TinyLlavaConfig.from_pretrained(model_args.mask_model_name_or_path)
+  File "/nfs/ywang29/TinyLLaVA/transformers/src/transformers/configuration_utils.py", line 602, in from_pretrained
+    config_dict, kwargs = cls.get_config_dict(pretrained_model_name_or_path, **kwargs)
+  File "/nfs/ywang29/TinyLLaVA/transformers/src/transformers/configuration_utils.py", line 631, in get_config_dict
+    config_dict, kwargs = cls._get_config_dict(pretrained_model_name_or_path, **kwargs)
+  File "/nfs/ywang29/TinyLLaVA/transformers/src/transformers/configuration_utils.py", line 686, in _get_config_dict
+    resolved_config_file = cached_file(
+  File "/nfs/ywang29/TinyLLaVA/transformers/src/transformers/utils/hub.py", line 369, in cached_file
+    raise EnvironmentError(
+OSError: /nfs/ywang29/TinyLLaVA/checkpoints/qwen2.5-0_5b_base_masktune_42_llm-connector_text-1.0_2.9_2e-1_connector-1.0_2.9_2e-1_ablation does not appear to have a file named config.json. Checkout 'https://huggingface.co//nfs/ywang29/TinyLLaVA/checkpoints/qwen2.5-0_5b_base_masktune_42_llm-connector_text-1.0_2.9_2e-1_connector-1.0_2.9_2e-1_ablation/tree/main' for available files.
+/opt/conda/envs/tinyllava/lib/python3.10/site-packages/torch/cuda/__init__.py:51: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
+  import pynvml  # type: ignore[import]
+[2025-10-12 17:40:08,208] [INFO] [real_accelerator.py:191:get_accelerator] Setting ds_accelerator to cuda (auto detect)
+Traceback (most recent call last):
+  File "/nfs/ywang29/TinyLLaVA/transformers/src/transformers/utils/hub.py", line 398, in cached_file
+    resolved_file = hf_hub_download(
+  File "/opt/conda/envs/tinyllava/lib/python3.10/site-packages/huggingface_hub/utils/_validators.py", line 106, in _inner_fn
+    validate_repo_id(arg_value)
+  File "/opt/conda/envs/tinyllava/lib/python3.10/site-packages/huggingface_hub/utils/_validators.py", line 154, in validate_repo_id
+    raise HFValidationError(
+huggingface_hub.errors.HFValidationError: Repo id must be in the form 'repo_name' or 'namespace/repo_name': '/nfs/ywang29/TinyLLaVA/checkpoints/qwen2.5-0_5b_base_masktune_42_llm-connector_text-1.0_2.9_2e-1_connector-1.0_2.9_2e-1_ablation/mask_applied'. Use `repo_type` argument if needed.
+
+The above exception was the direct cause of the following exception:
+
+Traceback (most recent call last):
+  File "/nfs/ywang29/TinyLLaVA/tinyllava/model/load_model.py", line 38, in load_pretrained_model
+    model = TinyLlavaForConditionalGeneration.from_pretrained(model_name_or_path,low_cpu_mem_usage=True)
+  File "/nfs/ywang29/TinyLLaVA/transformers/src/transformers/modeling_utils.py", line 3015, in from_pretrained
+    resolved_config_file = cached_file(
+  File "/nfs/ywang29/TinyLLaVA/transformers/src/transformers/utils/hub.py", line 462, in cached_file
+    raise EnvironmentError(
+OSError: Incorrect path_or_model_id: '/nfs/ywang29/TinyLLaVA/checkpoints/qwen2.5-0_5b_base_masktune_42_llm-connector_text-1.0_2.9_2e-1_connector-1.0_2.9_2e-1_ablation/mask_applied'. Please provide either the path to a local folder or the repo_id of a model on the Hub.
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+  File "/nfs/ywang29/TinyLLaVA/transformers/src/transformers/utils/hub.py", line 398, in cached_file
+    resolved_file = hf_hub_download(
+  File "/opt/conda/envs/tinyllava/lib/python3.10/site-packages/huggingface_hub/utils/_validators.py", line 106, in _inner_fn
+    validate_repo_id(arg_value)
+  File "/opt/conda/envs/tinyllava/lib/python3.10/site-packages/huggingface_hub/utils/_validators.py", line 154, in validate_repo_id
+    raise HFValidationError(
+huggingface_hub.errors.HFValidationError: Repo id must be in the form 'repo_name' or 'namespace/repo_name': '/nfs/ywang29/TinyLLaVA/checkpoints/qwen2.5-0_5b_base_masktune_42_llm-connector_text-1.0_2.9_2e-1_connector-1.0_2.9_2e-1_ablation/mask_applied'. Use `repo_type` argument if needed.
+
+The above exception was the direct cause of the following exception:
+
+Traceback (most recent call last):
+  File "/opt/conda/envs/tinyllava/lib/python3.10/runpy.py", line 196, in _run_module_as_main
+    return _run_code(code, main_globals, None,
+  File "/opt/conda/envs/tinyllava/lib/python3.10/runpy.py", line 86, in _run_code
+    exec(code, run_globals)
+  File "/nfs/ywang29/TinyLLaVA/tinyllava/eval/model_vqa_mmmu.py", line 180, in <module>
+    eval_model(args)
+  File "/nfs/ywang29/TinyLLaVA/tinyllava/eval/model_vqa_mmmu.py", line 88, in eval_model
+    model, tokenizer, image_processor, context_len = load_pretrained_model(model_path)
+  File "/nfs/ywang29/TinyLLaVA/tinyllava/model/load_model.py", line 40, in load_pretrained_model
+    model_config = TinyLlavaConfig.from_pretrained(model_name_or_path)
+  File "/nfs/ywang29/TinyLLaVA/transformers/src/transformers/configuration_utils.py", line 602, in from_pretrained
+    config_dict, kwargs = cls.get_config_dict(pretrained_model_name_or_path, **kwargs)
+  File "/nfs/ywang29/TinyLLaVA/transformers/src/transformers/configuration_utils.py", line 631, in get_config_dict
+    config_dict, kwargs = cls._get_config_dict(pretrained_model_name_or_path, **kwargs)
+  File "/nfs/ywang29/TinyLLaVA/transformers/src/transformers/configuration_utils.py", line 686, in _get_config_dict
+    resolved_config_file = cached_file(
+  File "/nfs/ywang29/TinyLLaVA/transformers/src/transformers/utils/hub.py", line 462, in cached_file
+    raise EnvironmentError(
+OSError: Incorrect path_or_model_id: '/nfs/ywang29/TinyLLaVA/checkpoints/qwen2.5-0_5b_base_masktune_42_llm-connector_text-1.0_2.9_2e-1_connector-1.0_2.9_2e-1_ablation/mask_applied'. Please provide either the path to a local folder or the repo_id of a model on the Hub.
+Traceback (most recent call last):
+  File "/nfs/ywang29/TinyLLaVA/scripts/convert_answer_to_mmmu.py", line 31, in <module>
+    eval_model(args)
+  File "/nfs/ywang29/TinyLLaVA/scripts/convert_answer_to_mmmu.py", line 7, in eval_model
+    answers = [json.loads(q) for q in open(os.path.expanduser(args.answers_file), "r")]
+FileNotFoundError: [Errno 2] No such file or directory: '/s3-code/ywang29/datasets/tinyllava/eval/MMMU/answers/qwen2.5-0_5b_base_masktune_42_llm-connector_text-1.0_2.9_2e-1_connector-1.0_2.9_2e-1_ablation-mask_applied.jsonl'
+Traceback (most recent call last):
+  File "/s3-code/ywang29/datasets/tinyllava/eval/MMMU/eval/main_eval_only.py", line 19, in <module>
+    output_dict = json.load(open(args.output_path))
+FileNotFoundError: [Errno 2] No such file or directory: '/s3-code/ywang29/datasets/tinyllava/eval/MMMU/answers/qwen2.5-0_5b_base_masktune_42_llm-connector_text-1.0_2.9_2e-1_connector-1.0_2.9_2e-1_ablation-mask_applied_output.json'
+/opt/conda/envs/tinyllava/lib/python3.10/site-packages/torch/cuda/__init__.py:51: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
+  import pynvml  # type: ignore[import]
+[2025-10-12 17:40:14,451] [INFO] [real_accelerator.py:191:get_accelerator] Setting ds_accelerator to cuda (auto detect)
+Traceback (most recent call last):
+  File "/nfs/ywang29/TinyLLaVA/transformers/src/transformers/utils/hub.py", line 398, in cached_file
+    resolved_file = hf_hub_download(
+  File "/opt/conda/envs/tinyllava/lib/python3.10/site-packages/huggingface_hub/utils/_validators.py", line 106, in _inner_fn
+    validate_repo_id(arg_value)
+  File "/opt/conda/envs/tinyllava/lib/python3.10/site-packages/huggingface_hub/utils/_validators.py", line 154, in validate_repo_id
+    raise HFValidationError(
+huggingface_hub.errors.HFValidationError: Repo id must be in the form 'repo_name' or 'namespace/repo_name': '/nfs/ywang29/TinyLLaVA/checkpoints/qwen2.5-0_5b_base_masktune_42_llm-connector_text-1.0_2.9_2e-1_connector-1.0_2.9_2e-1_ablation/mask_applied'. Use `repo_type` argument if needed.
+
+The above exception was the direct cause of the following exception:
+
+Traceback (most recent call last):
+  File "/nfs/ywang29/TinyLLaVA/tinyllava/model/load_model.py", line 38, in load_pretrained_model
+    model = TinyLlavaForConditionalGeneration.from_pretrained(model_name_or_path,low_cpu_mem_usage=True)
+  File "/nfs/ywang29/TinyLLaVA/transformers/src/transformers/modeling_utils.py", line 3015, in from_pretrained
+    resolved_config_file = cached_file(
+  File "/nfs/ywang29/TinyLLaVA/transformers/src/transformers/utils/hub.py", line 462, in cached_file
+    raise EnvironmentError(
+OSError: Incorrect path_or_model_id: '/nfs/ywang29/TinyLLaVA/checkpoints/qwen2.5-0_5b_base_masktune_42_llm-connector_text-1.0_2.9_2e-1_connector-1.0_2.9_2e-1_ablation/mask_applied'. Please provide either the path to a local folder or the repo_id of a model on the Hub.
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+  File "/nfs/ywang29/TinyLLaVA/transformers/src/transformers/utils/hub.py", line 398, in cached_file
+    resolved_file = hf_hub_download(
+  File "/opt/conda/envs/tinyllava/lib/python3.10/site-packages/huggingface_hub/utils/_validators.py", line 106, in _inner_fn
+    validate_repo_id(arg_value)
+  File "/opt/conda/envs/tinyllava/lib/python3.10/site-packages/huggingface_hub/utils/_validators.py", line 154, in validate_repo_id
+    raise HFValidationError(
+huggingface_hub.errors.HFValidationError: Repo id must be in the form 'repo_name' or 'namespace/repo_name': '/nfs/ywang29/TinyLLaVA/checkpoints/qwen2.5-0_5b_base_masktune_42_llm-connector_text-1.0_2.9_2e-1_connector-1.0_2.9_2e-1_ablation/mask_applied'. Use `repo_type` argument if needed.
+
+The above exception was the direct cause of the following exception:
+
+Traceback (most recent call last):
+  File "/opt/conda/envs/tinyllava/lib/python3.10/runpy.py", line 196, in _run_module_as_main
+    return _run_code(code, main_globals, None,
+  File "/opt/conda/envs/tinyllava/lib/python3.10/runpy.py", line 86, in _run_code
+    exec(code, run_globals)
+  File "/nfs/ywang29/TinyLLaVA/tinyllava/eval/model_vqa_loader.py", line 146, in <module>
+    eval_model(args)
+  File "/nfs/ywang29/TinyLLaVA/tinyllava/eval/model_vqa_loader.py", line 79, in eval_model
+    model, tokenizer, image_processor, context_len = load_pretrained_model(model_path)
+  File "/nfs/ywang29/TinyLLaVA/tinyllava/model/load_model.py", line 40, in load_pretrained_model
+    model_config = TinyLlavaConfig.from_pretrained(model_name_or_path)
+  File "/nfs/ywang29/TinyLLaVA/transformers/src/transformers/configuration_utils.py", line 602, in from_pretrained
+    config_dict, kwargs = cls.get_config_dict(pretrained_model_name_or_path, **kwargs)
+  File "/nfs/ywang29/TinyLLaVA/transformers/src/transformers/configuration_utils.py", line 631, in get_config_dict
+    config_dict, kwargs = cls._get_config_dict(pretrained_model_name_or_path, **kwargs)
+  File "/nfs/ywang29/TinyLLaVA/transformers/src/transformers/configuration_utils.py", line 686, in _get_config_dict
+    resolved_config_file = cached_file(
+  File "/nfs/ywang29/TinyLLaVA/transformers/src/transformers/utils/hub.py", line 462, in cached_file
+    raise EnvironmentError(
+OSError: Incorrect path_or_model_id: '/nfs/ywang29/TinyLLaVA/checkpoints/qwen2.5-0_5b_base_masktune_42_llm-connector_text-1.0_2.9_2e-1_connector-1.0_2.9_2e-1_ablation/mask_applied'. Please provide either the path to a local folder or the repo_id of a model on the Hub.
+Traceback (most recent call last):
+  File "/s3-code/ywang29/datasets/tinyllava/eval/MME/convert_answer_to_mme.py", line 52, in <module>
+    answers = [json.loads(line) for line in open(os.path.join('answers', f'{experiment}.jsonl'))]
+FileNotFoundError: [Errno 2] No such file or directory: 'answers/qwen2.5-0_5b_base_masktune_42_llm-connector_text-1.0_2.9_2e-1_connector-1.0_2.9_2e-1_ablation-mask_applied.jsonl'
+=========== Perception ===========
+Traceback (most recent call last):
+  File "/s3-code/ywang29/datasets/tinyllava/eval/MME/eval_tool/calculation.py", line 164, in <module>
+    cal.process_result(results_dir)
+  File "/s3-code/ywang29/datasets/tinyllava/eval/MME/eval_tool/calculation.py", line 98, in process_result
+    lines = open(task_txt, 'r').readlines()
+FileNotFoundError: [Errno 2] No such file or directory: 'answers/qwen2.5-0_5b_base_masktune_42_llm-connector_text-1.0_2.9_2e-1_connector-1.0_2.9_2e-1_ablation-mask_applied/existence.txt'
+/opt/conda/envs/tinyllava/lib/python3.10/site-packages/torch/cuda/__init__.py:51: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
+  import pynvml  # type: ignore[import]
+[2025-10-12 17:41:19,450] [INFO] [real_accelerator.py:191:get_accelerator] Setting ds_accelerator to cuda (auto detect)
+Traceback (most recent call last):
+  File "/nfs/ywang29/TinyLLaVA/transformers/src/transformers/utils/hub.py", line 398, in cached_file
+    resolved_file = hf_hub_download(
+  File "/opt/conda/envs/tinyllava/lib/python3.10/site-packages/huggingface_hub/utils/_validators.py", line 106, in _inner_fn
+    validate_repo_id(arg_value)
+  File "/opt/conda/envs/tinyllava/lib/python3.10/site-packages/huggingface_hub/utils/_validators.py", line 154, in validate_repo_id
+    raise HFValidationError(
+huggingface_hub.errors.HFValidationError: Repo id must be in the form 'repo_name' or 'namespace/repo_name': '/nfs/ywang29/TinyLLaVA/checkpoints/qwen2.5-0_5b_base_masktune_42_llm-connector_text-1.0_2.9_2e-1_connector-1.0_2.9_2e-1_ablation/mask_applied'. Use `repo_type` argument if needed.
+
+The above exception was the direct cause of the following exception:
+
+Traceback (most recent call last):
+  File "/nfs/ywang29/TinyLLaVA/tinyllava/model/load_model.py", line 38, in load_pretrained_model
+    model = TinyLlavaForConditionalGeneration.from_pretrained(model_name_or_path,low_cpu_mem_usage=True)
+  File "/nfs/ywang29/TinyLLaVA/transformers/src/transformers/modeling_utils.py", line 3015, in from_pretrained
+    resolved_config_file = cached_file(
+  File "/nfs/ywang29/TinyLLaVA/transformers/src/transformers/utils/hub.py", line 462, in cached_file
+    raise EnvironmentError(
+OSError: Incorrect path_or_model_id: '/nfs/ywang29/TinyLLaVA/checkpoints/qwen2.5-0_5b_base_masktune_42_llm-connector_text-1.0_2.9_2e-1_connector-1.0_2.9_2e-1_ablation/mask_applied'. Please provide either the path to a local folder or the repo_id of a model on the Hub.
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+  File "/nfs/ywang29/TinyLLaVA/transformers/src/transformers/utils/hub.py", line 398, in cached_file
+    resolved_file = hf_hub_download(
+  File "/opt/conda/envs/tinyllava/lib/python3.10/site-packages/huggingface_hub/utils/_validators.py", line 106, in _inner_fn
+    validate_repo_id(arg_value)
+  File "/opt/conda/envs/tinyllava/lib/python3.10/site-packages/huggingface_hub/utils/_validators.py", line 154, in validate_repo_id
+    raise HFValidationError(
+huggingface_hub.errors.HFValidationError: Repo id must be in the form 'repo_name' or 'namespace/repo_name': '/nfs/ywang29/TinyLLaVA/checkpoints/qwen2.5-0_5b_base_masktune_42_llm-connector_text-1.0_2.9_2e-1_connector-1.0_2.9_2e-1_ablation/mask_applied'. Use `repo_type` argument if needed.
+
+The above exception was the direct cause of the following exception:
+
+Traceback (most recent call last):
+  File "/opt/conda/envs/tinyllava/lib/python3.10/runpy.py", line 196, in _run_module_as_main
+    return _run_code(code, main_globals, None,
+  File "/opt/conda/envs/tinyllava/lib/python3.10/runpy.py", line 86, in _run_code
+    exec(code, run_globals)
+  File "/nfs/ywang29/TinyLLaVA/tinyllava/eval/model_vqa_science.py", line 108, in <module>
+    eval_model(args)
+  File "/nfs/ywang29/TinyLLaVA/tinyllava/eval/model_vqa_science.py", line 31, in eval_model
+    model, tokenizer, image_processor, context_len = load_pretrained_model(model_path)
+  File "/nfs/ywang29/TinyLLaVA/tinyllava/model/load_model.py", line 40, in load_pretrained_model
+    model_config = TinyLlavaConfig.from_pretrained(model_name_or_path)
+  File "/nfs/ywang29/TinyLLaVA/transformers/src/transformers/configuration_utils.py", line 602, in from_pretrained
+    config_dict, kwargs = cls.get_config_dict(pretrained_model_name_or_path, **kwargs)
+  File "/nfs/ywang29/TinyLLaVA/transformers/src/transformers/configuration_utils.py", line 631, in get_config_dict
+    config_dict, kwargs = cls._get_config_dict(pretrained_model_name_or_path, **kwargs)
+  File "/nfs/ywang29/TinyLLaVA/transformers/src/transformers/configuration_utils.py", line 686, in _get_config_dict
+    resolved_config_file = cached_file(
+  File "/nfs/ywang29/TinyLLaVA/transformers/src/transformers/utils/hub.py", line 462, in cached_file
+    raise EnvironmentError(
+OSError: Incorrect path_or_model_id: '/nfs/ywang29/TinyLLaVA/checkpoints/qwen2.5-0_5b_base_masktune_42_llm-connector_text-1.0_2.9_2e-1_connector-1.0_2.9_2e-1_ablation/mask_applied'. Please provide either the path to a local folder or the repo_id of a model on the Hub.
+Traceback (most recent call last):
+  File "/nfs/ywang29/TinyLLaVA/tinyllava/eval/eval_science_qa.py", line 45, in <module>
+    predictions = [json.loads(line) for line in open(args.result_file)]
+FileNotFoundError: [Errno 2] No such file or directory: '/s3-code/ywang29/datasets/tinyllava/eval/scienceqa/answers/qwen2.5-0_5b_base_masktune_42_llm-connector_text-1.0_2.9_2e-1_connector-1.0_2.9_2e-1_ablation-mask_applied.jsonl'
+==== EXPERIMENT COMPLETED: eval_qwen2.5-0_5b_base_masktune_42_llm-connector_text-1.0_2.9_2e-1_connector-1.0_2.9_2e-1_ablation ====
+Log File: eval_qwen2.5-0_5b_base_masktune_42_llm-connector_text-1.0_2.9_2e-1_connector-1.0_2.9_2e-1_ablation_20251012_173957.log
+Timestamp: 2025-10-12 17:41:22
+=====================================

logs_oct11/eval_qwen2.5-0_5b_base_masktune_42_llm-connector_text-3.0_0.5_2e-1_connector-3.0_0.5_2e-1_ablation_20251012_180629.log

@@ -0,0 +1,219 @@
+==== STARTING EXPERIMENT: eval_qwen2.5-0_5b_base_masktune_42_llm-connector_text-3.0_0.5_2e-1_connector-3.0_0.5_2e-1_ablation ====
+Log File: eval_qwen2.5-0_5b_base_masktune_42_llm-connector_text-3.0_0.5_2e-1_connector-3.0_0.5_2e-1_ablation_20251012_180629.log
+Timestamp: 2025-10-12 18:06:30
+=====================================
+Processing: /nfs/ywang29/TinyLLaVA/checkpoints/qwen2.5-0_5b_base_masktune_42_llm-connector_text-3.0_0.5_2e-1_connector-3.0_0.5_2e-1_ablation
+/opt/conda/envs/tinyllava/lib/python3.10/site-packages/torch/cuda/__init__.py:51: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
+  import pynvml  # type: ignore[import]
+[2025-10-12 18:06:32,829] [INFO] [real_accelerator.py:191:get_accelerator] Setting ds_accelerator to cuda (auto detect)
+Traceback (most recent call last):
+  File "/nfs/ywang29/TinyLLaVA/scripts/apply_masks.py", line 488, in <module>
+    main()
+  File "/nfs/ywang29/TinyLLaVA/scripts/apply_masks.py", line 123, in main
+    config_mask = TinyLlavaConfig.from_pretrained(model_args.mask_model_name_or_path)
+  File "/nfs/ywang29/TinyLLaVA/transformers/src/transformers/configuration_utils.py", line 602, in from_pretrained
+    config_dict, kwargs = cls.get_config_dict(pretrained_model_name_or_path, **kwargs)
+  File "/nfs/ywang29/TinyLLaVA/transformers/src/transformers/configuration_utils.py", line 631, in get_config_dict
+    config_dict, kwargs = cls._get_config_dict(pretrained_model_name_or_path, **kwargs)
+  File "/nfs/ywang29/TinyLLaVA/transformers/src/transformers/configuration_utils.py", line 686, in _get_config_dict
+    resolved_config_file = cached_file(
+  File "/nfs/ywang29/TinyLLaVA/transformers/src/transformers/utils/hub.py", line 369, in cached_file
+    raise EnvironmentError(
+OSError: /nfs/ywang29/TinyLLaVA/checkpoints/qwen2.5-0_5b_base_masktune_42_llm-connector_text-3.0_0.5_2e-1_connector-3.0_0.5_2e-1_ablation does not appear to have a file named config.json. Checkout 'https://huggingface.co//nfs/ywang29/TinyLLaVA/checkpoints/qwen2.5-0_5b_base_masktune_42_llm-connector_text-3.0_0.5_2e-1_connector-3.0_0.5_2e-1_ablation/tree/main' for available files.
+/opt/conda/envs/tinyllava/lib/python3.10/site-packages/torch/cuda/__init__.py:51: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
+  import pynvml  # type: ignore[import]
+[2025-10-12 18:06:39,994] [INFO] [real_accelerator.py:191:get_accelerator] Setting ds_accelerator to cuda (auto detect)
+Traceback (most recent call last):
+  File "/nfs/ywang29/TinyLLaVA/transformers/src/transformers/utils/hub.py", line 398, in cached_file
+    resolved_file = hf_hub_download(
+  File "/opt/conda/envs/tinyllava/lib/python3.10/site-packages/huggingface_hub/utils/_validators.py", line 106, in _inner_fn
+    validate_repo_id(arg_value)
+  File "/opt/conda/envs/tinyllava/lib/python3.10/site-packages/huggingface_hub/utils/_validators.py", line 154, in validate_repo_id
+    raise HFValidationError(
+huggingface_hub.errors.HFValidationError: Repo id must be in the form 'repo_name' or 'namespace/repo_name': '/nfs/ywang29/TinyLLaVA/checkpoints/qwen2.5-0_5b_base_masktune_42_llm-connector_text-3.0_0.5_2e-1_connector-3.0_0.5_2e-1_ablation/mask_applied'. Use `repo_type` argument if needed.
+
+The above exception was the direct cause of the following exception:
+
+Traceback (most recent call last):
+  File "/nfs/ywang29/TinyLLaVA/tinyllava/model/load_model.py", line 38, in load_pretrained_model
+    model = TinyLlavaForConditionalGeneration.from_pretrained(model_name_or_path,low_cpu_mem_usage=True)
+  File "/nfs/ywang29/TinyLLaVA/transformers/src/transformers/modeling_utils.py", line 3015, in from_pretrained
+    resolved_config_file = cached_file(
+  File "/nfs/ywang29/TinyLLaVA/transformers/src/transformers/utils/hub.py", line 462, in cached_file
+    raise EnvironmentError(
+OSError: Incorrect path_or_model_id: '/nfs/ywang29/TinyLLaVA/checkpoints/qwen2.5-0_5b_base_masktune_42_llm-connector_text-3.0_0.5_2e-1_connector-3.0_0.5_2e-1_ablation/mask_applied'. Please provide either the path to a local folder or the repo_id of a model on the Hub.
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+  File "/nfs/ywang29/TinyLLaVA/transformers/src/transformers/utils/hub.py", line 398, in cached_file
+    resolved_file = hf_hub_download(
+  File "/opt/conda/envs/tinyllava/lib/python3.10/site-packages/huggingface_hub/utils/_validators.py", line 106, in _inner_fn
+    validate_repo_id(arg_value)
+  File "/opt/conda/envs/tinyllava/lib/python3.10/site-packages/huggingface_hub/utils/_validators.py", line 154, in validate_repo_id
+    raise HFValidationError(
+huggingface_hub.errors.HFValidationError: Repo id must be in the form 'repo_name' or 'namespace/repo_name': '/nfs/ywang29/TinyLLaVA/checkpoints/qwen2.5-0_5b_base_masktune_42_llm-connector_text-3.0_0.5_2e-1_connector-3.0_0.5_2e-1_ablation/mask_applied'. Use `repo_type` argument if needed.
+
+The above exception was the direct cause of the following exception:
+
+Traceback (most recent call last):
+  File "/opt/conda/envs/tinyllava/lib/python3.10/runpy.py", line 196, in _run_module_as_main
+    return _run_code(code, main_globals, None,
+  File "/opt/conda/envs/tinyllava/lib/python3.10/runpy.py", line 86, in _run_code
+    exec(code, run_globals)
+  File "/nfs/ywang29/TinyLLaVA/tinyllava/eval/model_vqa_mmmu.py", line 180, in <module>
+    eval_model(args)
+  File "/nfs/ywang29/TinyLLaVA/tinyllava/eval/model_vqa_mmmu.py", line 88, in eval_model
+    model, tokenizer, image_processor, context_len = load_pretrained_model(model_path)
+  File "/nfs/ywang29/TinyLLaVA/tinyllava/model/load_model.py", line 40, in load_pretrained_model
+    model_config = TinyLlavaConfig.from_pretrained(model_name_or_path)
+  File "/nfs/ywang29/TinyLLaVA/transformers/src/transformers/configuration_utils.py", line 602, in from_pretrained
+    config_dict, kwargs = cls.get_config_dict(pretrained_model_name_or_path, **kwargs)
+  File "/nfs/ywang29/TinyLLaVA/transformers/src/transformers/configuration_utils.py", line 631, in get_config_dict
+    config_dict, kwargs = cls._get_config_dict(pretrained_model_name_or_path, **kwargs)
+  File "/nfs/ywang29/TinyLLaVA/transformers/src/transformers/configuration_utils.py", line 686, in _get_config_dict
+    resolved_config_file = cached_file(
+  File "/nfs/ywang29/TinyLLaVA/transformers/src/transformers/utils/hub.py", line 462, in cached_file
+    raise EnvironmentError(
+OSError: Incorrect path_or_model_id: '/nfs/ywang29/TinyLLaVA/checkpoints/qwen2.5-0_5b_base_masktune_42_llm-connector_text-3.0_0.5_2e-1_connector-3.0_0.5_2e-1_ablation/mask_applied'. Please provide either the path to a local folder or the repo_id of a model on the Hub.
+Traceback (most recent call last):
+  File "/nfs/ywang29/TinyLLaVA/scripts/convert_answer_to_mmmu.py", line 31, in <module>
+    eval_model(args)
+  File "/nfs/ywang29/TinyLLaVA/scripts/convert_answer_to_mmmu.py", line 7, in eval_model
+    answers = [json.loads(q) for q in open(os.path.expanduser(args.answers_file), "r")]
+FileNotFoundError: [Errno 2] No such file or directory: '/s3-code/ywang29/datasets/tinyllava/eval/MMMU/answers/qwen2.5-0_5b_base_masktune_42_llm-connector_text-3.0_0.5_2e-1_connector-3.0_0.5_2e-1_ablation-mask_applied.jsonl'
+Traceback (most recent call last):
+  File "/s3-code/ywang29/datasets/tinyllava/eval/MMMU/eval/main_eval_only.py", line 19, in <module>
+    output_dict = json.load(open(args.output_path))
+FileNotFoundError: [Errno 2] No such file or directory: '/s3-code/ywang29/datasets/tinyllava/eval/MMMU/answers/qwen2.5-0_5b_base_masktune_42_llm-connector_text-3.0_0.5_2e-1_connector-3.0_0.5_2e-1_ablation-mask_applied_output.json'
+/opt/conda/envs/tinyllava/lib/python3.10/site-packages/torch/cuda/__init__.py:51: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
+  import pynvml  # type: ignore[import]
+[2025-10-12 18:06:46,191] [INFO] [real_accelerator.py:191:get_accelerator] Setting ds_accelerator to cuda (auto detect)
+Traceback (most recent call last):
+  File "/nfs/ywang29/TinyLLaVA/transformers/src/transformers/utils/hub.py", line 398, in cached_file
+    resolved_file = hf_hub_download(
+  File "/opt/conda/envs/tinyllava/lib/python3.10/site-packages/huggingface_hub/utils/_validators.py", line 106, in _inner_fn
+    validate_repo_id(arg_value)
+  File "/opt/conda/envs/tinyllava/lib/python3.10/site-packages/huggingface_hub/utils/_validators.py", line 154, in validate_repo_id
+    raise HFValidationError(
+huggingface_hub.errors.HFValidationError: Repo id must be in the form 'repo_name' or 'namespace/repo_name': '/nfs/ywang29/TinyLLaVA/checkpoints/qwen2.5-0_5b_base_masktune_42_llm-connector_text-3.0_0.5_2e-1_connector-3.0_0.5_2e-1_ablation/mask_applied'. Use `repo_type` argument if needed.
+
+The above exception was the direct cause of the following exception:
+
+Traceback (most recent call last):
+  File "/nfs/ywang29/TinyLLaVA/tinyllava/model/load_model.py", line 38, in load_pretrained_model
+    model = TinyLlavaForConditionalGeneration.from_pretrained(model_name_or_path,low_cpu_mem_usage=True)
+  File "/nfs/ywang29/TinyLLaVA/transformers/src/transformers/modeling_utils.py", line 3015, in from_pretrained
+    resolved_config_file = cached_file(
+  File "/nfs/ywang29/TinyLLaVA/transformers/src/transformers/utils/hub.py", line 462, in cached_file
+    raise EnvironmentError(
+OSError: Incorrect path_or_model_id: '/nfs/ywang29/TinyLLaVA/checkpoints/qwen2.5-0_5b_base_masktune_42_llm-connector_text-3.0_0.5_2e-1_connector-3.0_0.5_2e-1_ablation/mask_applied'. Please provide either the path to a local folder or the repo_id of a model on the Hub.
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+  File "/nfs/ywang29/TinyLLaVA/transformers/src/transformers/utils/hub.py", line 398, in cached_file
+    resolved_file = hf_hub_download(
+  File "/opt/conda/envs/tinyllava/lib/python3.10/site-packages/huggingface_hub/utils/_validators.py", line 106, in _inner_fn
+    validate_repo_id(arg_value)
+  File "/opt/conda/envs/tinyllava/lib/python3.10/site-packages/huggingface_hub/utils/_validators.py", line 154, in validate_repo_id
+    raise HFValidationError(
+huggingface_hub.errors.HFValidationError: Repo id must be in the form 'repo_name' or 'namespace/repo_name': '/nfs/ywang29/TinyLLaVA/checkpoints/qwen2.5-0_5b_base_masktune_42_llm-connector_text-3.0_0.5_2e-1_connector-3.0_0.5_2e-1_ablation/mask_applied'. Use `repo_type` argument if needed.
+
+The above exception was the direct cause of the following exception:
+
+Traceback (most recent call last):
+  File "/opt/conda/envs/tinyllava/lib/python3.10/runpy.py", line 196, in _run_module_as_main
+    return _run_code(code, main_globals, None,
+  File "/opt/conda/envs/tinyllava/lib/python3.10/runpy.py", line 86, in _run_code
+    exec(code, run_globals)
+  File "/nfs/ywang29/TinyLLaVA/tinyllava/eval/model_vqa_loader.py", line 146, in <module>
+    eval_model(args)
+  File "/nfs/ywang29/TinyLLaVA/tinyllava/eval/model_vqa_loader.py", line 79, in eval_model
+    model, tokenizer, image_processor, context_len = load_pretrained_model(model_path)
+  File "/nfs/ywang29/TinyLLaVA/tinyllava/model/load_model.py", line 40, in load_pretrained_model
+    model_config = TinyLlavaConfig.from_pretrained(model_name_or_path)
+  File "/nfs/ywang29/TinyLLaVA/transformers/src/transformers/configuration_utils.py", line 602, in from_pretrained
+    config_dict, kwargs = cls.get_config_dict(pretrained_model_name_or_path, **kwargs)
+  File "/nfs/ywang29/TinyLLaVA/transformers/src/transformers/configuration_utils.py", line 631, in get_config_dict
+    config_dict, kwargs = cls._get_config_dict(pretrained_model_name_or_path, **kwargs)
+  File "/nfs/ywang29/TinyLLaVA/transformers/src/transformers/configuration_utils.py", line 686, in _get_config_dict
+    resolved_config_file = cached_file(
+  File "/nfs/ywang29/TinyLLaVA/transformers/src/transformers/utils/hub.py", line 462, in cached_file
+    raise EnvironmentError(
+OSError: Incorrect path_or_model_id: '/nfs/ywang29/TinyLLaVA/checkpoints/qwen2.5-0_5b_base_masktune_42_llm-connector_text-3.0_0.5_2e-1_connector-3.0_0.5_2e-1_ablation/mask_applied'. Please provide either the path to a local folder or the repo_id of a model on the Hub.
+Traceback (most recent call last):
+  File "/s3-code/ywang29/datasets/tinyllava/eval/MME/convert_answer_to_mme.py", line 52, in <module>
+    answers = [json.loads(line) for line in open(os.path.join('answers', f'{experiment}.jsonl'))]
+FileNotFoundError: [Errno 2] No such file or directory: 'answers/qwen2.5-0_5b_base_masktune_42_llm-connector_text-3.0_0.5_2e-1_connector-3.0_0.5_2e-1_ablation-mask_applied.jsonl'
+=========== Perception ===========
+Traceback (most recent call last):
+  File "/s3-code/ywang29/datasets/tinyllava/eval/MME/eval_tool/calculation.py", line 164, in <module>
+    cal.process_result(results_dir)
+  File "/s3-code/ywang29/datasets/tinyllava/eval/MME/eval_tool/calculation.py", line 98, in process_result
+    lines = open(task_txt, 'r').readlines()
+FileNotFoundError: [Errno 2] No such file or directory: 'answers/qwen2.5-0_5b_base_masktune_42_llm-connector_text-3.0_0.5_2e-1_connector-3.0_0.5_2e-1_ablation-mask_applied/existence.txt'
+/opt/conda/envs/tinyllava/lib/python3.10/site-packages/torch/cuda/__init__.py:51: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
+  import pynvml  # type: ignore[import]
+[2025-10-12 18:07:51,101] [INFO] [real_accelerator.py:191:get_accelerator] Setting ds_accelerator to cuda (auto detect)
+Traceback (most recent call last):
+  File "/nfs/ywang29/TinyLLaVA/transformers/src/transformers/utils/hub.py", line 398, in cached_file
+    resolved_file = hf_hub_download(
+  File "/opt/conda/envs/tinyllava/lib/python3.10/site-packages/huggingface_hub/utils/_validators.py", line 106, in _inner_fn
+    validate_repo_id(arg_value)
+  File "/opt/conda/envs/tinyllava/lib/python3.10/site-packages/huggingface_hub/utils/_validators.py", line 154, in validate_repo_id
+    raise HFValidationError(
+huggingface_hub.errors.HFValidationError: Repo id must be in the form 'repo_name' or 'namespace/repo_name': '/nfs/ywang29/TinyLLaVA/checkpoints/qwen2.5-0_5b_base_masktune_42_llm-connector_text-3.0_0.5_2e-1_connector-3.0_0.5_2e-1_ablation/mask_applied'. Use `repo_type` argument if needed.
+
+The above exception was the direct cause of the following exception:
+
+Traceback (most recent call last):
+  File "/nfs/ywang29/TinyLLaVA/tinyllava/model/load_model.py", line 38, in load_pretrained_model
+    model = TinyLlavaForConditionalGeneration.from_pretrained(model_name_or_path,low_cpu_mem_usage=True)
+  File "/nfs/ywang29/TinyLLaVA/transformers/src/transformers/modeling_utils.py", line 3015, in from_pretrained
+    resolved_config_file = cached_file(
+  File "/nfs/ywang29/TinyLLaVA/transformers/src/transformers/utils/hub.py", line 462, in cached_file
+    raise EnvironmentError(
+OSError: Incorrect path_or_model_id: '/nfs/ywang29/TinyLLaVA/checkpoints/qwen2.5-0_5b_base_masktune_42_llm-connector_text-3.0_0.5_2e-1_connector-3.0_0.5_2e-1_ablation/mask_applied'. Please provide either the path to a local folder or the repo_id of a model on the Hub.
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+  File "/nfs/ywang29/TinyLLaVA/transformers/src/transformers/utils/hub.py", line 398, in cached_file
+    resolved_file = hf_hub_download(
+  File "/opt/conda/envs/tinyllava/lib/python3.10/site-packages/huggingface_hub/utils/_validators.py", line 106, in _inner_fn
+    validate_repo_id(arg_value)
+  File "/opt/conda/envs/tinyllava/lib/python3.10/site-packages/huggingface_hub/utils/_validators.py", line 154, in validate_repo_id
+    raise HFValidationError(
+huggingface_hub.errors.HFValidationError: Repo id must be in the form 'repo_name' or 'namespace/repo_name': '/nfs/ywang29/TinyLLaVA/checkpoints/qwen2.5-0_5b_base_masktune_42_llm-connector_text-3.0_0.5_2e-1_connector-3.0_0.5_2e-1_ablation/mask_applied'. Use `repo_type` argument if needed.
+
+The above exception was the direct cause of the following exception:
+
+Traceback (most recent call last):
+  File "/opt/conda/envs/tinyllava/lib/python3.10/runpy.py", line 196, in _run_module_as_main
+    return _run_code(code, main_globals, None,
+  File "/opt/conda/envs/tinyllava/lib/python3.10/runpy.py", line 86, in _run_code
+    exec(code, run_globals)
+  File "/nfs/ywang29/TinyLLaVA/tinyllava/eval/model_vqa_science.py", line 108, in <module>
+    eval_model(args)
+  File "/nfs/ywang29/TinyLLaVA/tinyllava/eval/model_vqa_science.py", line 31, in eval_model
+    model, tokenizer, image_processor, context_len = load_pretrained_model(model_path)
+  File "/nfs/ywang29/TinyLLaVA/tinyllava/model/load_model.py", line 40, in load_pretrained_model
+    model_config = TinyLlavaConfig.from_pretrained(model_name_or_path)
+  File "/nfs/ywang29/TinyLLaVA/transformers/src/transformers/configuration_utils.py", line 602, in from_pretrained
+    config_dict, kwargs = cls.get_config_dict(pretrained_model_name_or_path, **kwargs)
+  File "/nfs/ywang29/TinyLLaVA/transformers/src/transformers/configuration_utils.py", line 631, in get_config_dict
+    config_dict, kwargs = cls._get_config_dict(pretrained_model_name_or_path, **kwargs)
+  File "/nfs/ywang29/TinyLLaVA/transformers/src/transformers/configuration_utils.py", line 686, in _get_config_dict
+    resolved_config_file = cached_file(
+  File "/nfs/ywang29/TinyLLaVA/transformers/src/transformers/utils/hub.py", line 462, in cached_file
+    raise EnvironmentError(
+OSError: Incorrect path_or_model_id: '/nfs/ywang29/TinyLLaVA/checkpoints/qwen2.5-0_5b_base_masktune_42_llm-connector_text-3.0_0.5_2e-1_connector-3.0_0.5_2e-1_ablation/mask_applied'. Please provide either the path to a local folder or the repo_id of a model on the Hub.
+Traceback (most recent call last):
+  File "/nfs/ywang29/TinyLLaVA/tinyllava/eval/eval_science_qa.py", line 45, in <module>
+    predictions = [json.loads(line) for line in open(args.result_file)]
+FileNotFoundError: [Errno 2] No such file or directory: '/s3-code/ywang29/datasets/tinyllava/eval/scienceqa/answers/qwen2.5-0_5b_base_masktune_42_llm-connector_text-3.0_0.5_2e-1_connector-3.0_0.5_2e-1_ablation-mask_applied.jsonl'
+==== EXPERIMENT COMPLETED: eval_qwen2.5-0_5b_base_masktune_42_llm-connector_text-3.0_0.5_2e-1_connector-3.0_0.5_2e-1_ablation ====
+Log File: eval_qwen2.5-0_5b_base_masktune_42_llm-connector_text-3.0_0.5_2e-1_connector-3.0_0.5_2e-1_ablation_20251012_180629.log
+Timestamp: 2025-10-12 18:07:54
+=====================================

logs_oct11/eval_qwen2.5-0_5b_base_masktune_42_llm-connector_text-3.0_0.5_5e-2_connector-3.0_0.5_5e-2_ablation_20251012_190124.log

@@ -0,0 +1,219 @@
+==== STARTING EXPERIMENT: eval_qwen2.5-0_5b_base_masktune_42_llm-connector_text-3.0_0.5_5e-2_connector-3.0_0.5_5e-2_ablation ====
+Log File: eval_qwen2.5-0_5b_base_masktune_42_llm-connector_text-3.0_0.5_5e-2_connector-3.0_0.5_5e-2_ablation_20251012_190124.log
+Timestamp: 2025-10-12 19:01:24
+=====================================
+Processing: /nfs/ywang29/TinyLLaVA/checkpoints/qwen2.5-0_5b_base_masktune_42_llm-connector_text-3.0_0.5_5e-2_connector-3.0_0.5_5e-2_ablation
+/opt/conda/envs/tinyllava/lib/python3.10/site-packages/torch/cuda/__init__.py:51: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
+  import pynvml  # type: ignore[import]
+[2025-10-12 19:01:27,172] [INFO] [real_accelerator.py:191:get_accelerator] Setting ds_accelerator to cuda (auto detect)
+Traceback (most recent call last):
+  File "/nfs/ywang29/TinyLLaVA/scripts/apply_masks.py", line 488, in <module>
+    main()
+  File "/nfs/ywang29/TinyLLaVA/scripts/apply_masks.py", line 123, in main
+    config_mask = TinyLlavaConfig.from_pretrained(model_args.mask_model_name_or_path)
+  File "/nfs/ywang29/TinyLLaVA/transformers/src/transformers/configuration_utils.py", line 602, in from_pretrained
+    config_dict, kwargs = cls.get_config_dict(pretrained_model_name_or_path, **kwargs)
+  File "/nfs/ywang29/TinyLLaVA/transformers/src/transformers/configuration_utils.py", line 631, in get_config_dict
+    config_dict, kwargs = cls._get_config_dict(pretrained_model_name_or_path, **kwargs)
+  File "/nfs/ywang29/TinyLLaVA/transformers/src/transformers/configuration_utils.py", line 686, in _get_config_dict
+    resolved_config_file = cached_file(
+  File "/nfs/ywang29/TinyLLaVA/transformers/src/transformers/utils/hub.py", line 369, in cached_file
+    raise EnvironmentError(
+OSError: /nfs/ywang29/TinyLLaVA/checkpoints/qwen2.5-0_5b_base_masktune_42_llm-connector_text-3.0_0.5_5e-2_connector-3.0_0.5_5e-2_ablation does not appear to have a file named config.json. Checkout 'https://huggingface.co//nfs/ywang29/TinyLLaVA/checkpoints/qwen2.5-0_5b_base_masktune_42_llm-connector_text-3.0_0.5_5e-2_connector-3.0_0.5_5e-2_ablation/tree/main' for available files.
+/opt/conda/envs/tinyllava/lib/python3.10/site-packages/torch/cuda/__init__.py:51: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
+  import pynvml  # type: ignore[import]
+[2025-10-12 19:01:34,395] [INFO] [real_accelerator.py:191:get_accelerator] Setting ds_accelerator to cuda (auto detect)
+Traceback (most recent call last):
+  File "/nfs/ywang29/TinyLLaVA/transformers/src/transformers/utils/hub.py", line 398, in cached_file
+    resolved_file = hf_hub_download(
+  File "/opt/conda/envs/tinyllava/lib/python3.10/site-packages/huggingface_hub/utils/_validators.py", line 106, in _inner_fn
+    validate_repo_id(arg_value)
+  File "/opt/conda/envs/tinyllava/lib/python3.10/site-packages/huggingface_hub/utils/_validators.py", line 154, in validate_repo_id
+    raise HFValidationError(
+huggingface_hub.errors.HFValidationError: Repo id must be in the form 'repo_name' or 'namespace/repo_name': '/nfs/ywang29/TinyLLaVA/checkpoints/qwen2.5-0_5b_base_masktune_42_llm-connector_text-3.0_0.5_5e-2_connector-3.0_0.5_5e-2_ablation/mask_applied'. Use `repo_type` argument if needed.
+
+The above exception was the direct cause of the following exception:
+
+Traceback (most recent call last):
+  File "/nfs/ywang29/TinyLLaVA/tinyllava/model/load_model.py", line 38, in load_pretrained_model
+    model = TinyLlavaForConditionalGeneration.from_pretrained(model_name_or_path,low_cpu_mem_usage=True)
+  File "/nfs/ywang29/TinyLLaVA/transformers/src/transformers/modeling_utils.py", line 3015, in from_pretrained
+    resolved_config_file = cached_file(
+  File "/nfs/ywang29/TinyLLaVA/transformers/src/transformers/utils/hub.py", line 462, in cached_file
+    raise EnvironmentError(
+OSError: Incorrect path_or_model_id: '/nfs/ywang29/TinyLLaVA/checkpoints/qwen2.5-0_5b_base_masktune_42_llm-connector_text-3.0_0.5_5e-2_connector-3.0_0.5_5e-2_ablation/mask_applied'. Please provide either the path to a local folder or the repo_id of a model on the Hub.
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+  File "/nfs/ywang29/TinyLLaVA/transformers/src/transformers/utils/hub.py", line 398, in cached_file
+    resolved_file = hf_hub_download(
+  File "/opt/conda/envs/tinyllava/lib/python3.10/site-packages/huggingface_hub/utils/_validators.py", line 106, in _inner_fn
+    validate_repo_id(arg_value)
+  File "/opt/conda/envs/tinyllava/lib/python3.10/site-packages/huggingface_hub/utils/_validators.py", line 154, in validate_repo_id
+    raise HFValidationError(
+huggingface_hub.errors.HFValidationError: Repo id must be in the form 'repo_name' or 'namespace/repo_name': '/nfs/ywang29/TinyLLaVA/checkpoints/qwen2.5-0_5b_base_masktune_42_llm-connector_text-3.0_0.5_5e-2_connector-3.0_0.5_5e-2_ablation/mask_applied'. Use `repo_type` argument if needed.
+
+The above exception was the direct cause of the following exception:
+
+Traceback (most recent call last):
+  File "/opt/conda/envs/tinyllava/lib/python3.10/runpy.py", line 196, in _run_module_as_main
+    return _run_code(code, main_globals, None,
+  File "/opt/conda/envs/tinyllava/lib/python3.10/runpy.py", line 86, in _run_code
+    exec(code, run_globals)
+  File "/nfs/ywang29/TinyLLaVA/tinyllava/eval/model_vqa_mmmu.py", line 180, in <module>
+    eval_model(args)
+  File "/nfs/ywang29/TinyLLaVA/tinyllava/eval/model_vqa_mmmu.py", line 88, in eval_model
+    model, tokenizer, image_processor, context_len = load_pretrained_model(model_path)
+  File "/nfs/ywang29/TinyLLaVA/tinyllava/model/load_model.py", line 40, in load_pretrained_model
+    model_config = TinyLlavaConfig.from_pretrained(model_name_or_path)
+  File "/nfs/ywang29/TinyLLaVA/transformers/src/transformers/configuration_utils.py", line 602, in from_pretrained
+    config_dict, kwargs = cls.get_config_dict(pretrained_model_name_or_path, **kwargs)
+  File "/nfs/ywang29/TinyLLaVA/transformers/src/transformers/configuration_utils.py", line 631, in get_config_dict
+    config_dict, kwargs = cls._get_config_dict(pretrained_model_name_or_path, **kwargs)
+  File "/nfs/ywang29/TinyLLaVA/transformers/src/transformers/configuration_utils.py", line 686, in _get_config_dict
+    resolved_config_file = cached_file(
+  File "/nfs/ywang29/TinyLLaVA/transformers/src/transformers/utils/hub.py", line 462, in cached_file
+    raise EnvironmentError(
+OSError: Incorrect path_or_model_id: '/nfs/ywang29/TinyLLaVA/checkpoints/qwen2.5-0_5b_base_masktune_42_llm-connector_text-3.0_0.5_5e-2_connector-3.0_0.5_5e-2_ablation/mask_applied'. Please provide either the path to a local folder or the repo_id of a model on the Hub.
+Traceback (most recent call last):
+  File "/nfs/ywang29/TinyLLaVA/scripts/convert_answer_to_mmmu.py", line 31, in <module>
+    eval_model(args)
+  File "/nfs/ywang29/TinyLLaVA/scripts/convert_answer_to_mmmu.py", line 7, in eval_model
+    answers = [json.loads(q) for q in open(os.path.expanduser(args.answers_file), "r")]
+FileNotFoundError: [Errno 2] No such file or directory: '/s3-code/ywang29/datasets/tinyllava/eval/MMMU/answers/qwen2.5-0_5b_base_masktune_42_llm-connector_text-3.0_0.5_5e-2_connector-3.0_0.5_5e-2_ablation-mask_applied.jsonl'
+Traceback (most recent call last):
+  File "/s3-code/ywang29/datasets/tinyllava/eval/MMMU/eval/main_eval_only.py", line 19, in <module>
+    output_dict = json.load(open(args.output_path))
+FileNotFoundError: [Errno 2] No such file or directory: '/s3-code/ywang29/datasets/tinyllava/eval/MMMU/answers/qwen2.5-0_5b_base_masktune_42_llm-connector_text-3.0_0.5_5e-2_connector-3.0_0.5_5e-2_ablation-mask_applied_output.json'
+/opt/conda/envs/tinyllava/lib/python3.10/site-packages/torch/cuda/__init__.py:51: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
+  import pynvml  # type: ignore[import]
+[2025-10-12 19:01:40,892] [INFO] [real_accelerator.py:191:get_accelerator] Setting ds_accelerator to cuda (auto detect)
+Traceback (most recent call last):
+  File "/nfs/ywang29/TinyLLaVA/transformers/src/transformers/utils/hub.py", line 398, in cached_file
+    resolved_file = hf_hub_download(
+  File "/opt/conda/envs/tinyllava/lib/python3.10/site-packages/huggingface_hub/utils/_validators.py", line 106, in _inner_fn
+    validate_repo_id(arg_value)
+  File "/opt/conda/envs/tinyllava/lib/python3.10/site-packages/huggingface_hub/utils/_validators.py", line 154, in validate_repo_id
+    raise HFValidationError(
+huggingface_hub.errors.HFValidationError: Repo id must be in the form 'repo_name' or 'namespace/repo_name': '/nfs/ywang29/TinyLLaVA/checkpoints/qwen2.5-0_5b_base_masktune_42_llm-connector_text-3.0_0.5_5e-2_connector-3.0_0.5_5e-2_ablation/mask_applied'. Use `repo_type` argument if needed.
+
+The above exception was the direct cause of the following exception:
+
+Traceback (most recent call last):
+  File "/nfs/ywang29/TinyLLaVA/tinyllava/model/load_model.py", line 38, in load_pretrained_model
+    model = TinyLlavaForConditionalGeneration.from_pretrained(model_name_or_path,low_cpu_mem_usage=True)
+  File "/nfs/ywang29/TinyLLaVA/transformers/src/transformers/modeling_utils.py", line 3015, in from_pretrained
+    resolved_config_file = cached_file(
+  File "/nfs/ywang29/TinyLLaVA/transformers/src/transformers/utils/hub.py", line 462, in cached_file
+    raise EnvironmentError(
+OSError: Incorrect path_or_model_id: '/nfs/ywang29/TinyLLaVA/checkpoints/qwen2.5-0_5b_base_masktune_42_llm-connector_text-3.0_0.5_5e-2_connector-3.0_0.5_5e-2_ablation/mask_applied'. Please provide either the path to a local folder or the repo_id of a model on the Hub.
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+  File "/nfs/ywang29/TinyLLaVA/transformers/src/transformers/utils/hub.py", line 398, in cached_file
+    resolved_file = hf_hub_download(
+  File "/opt/conda/envs/tinyllava/lib/python3.10/site-packages/huggingface_hub/utils/_validators.py", line 106, in _inner_fn
+    validate_repo_id(arg_value)
+  File "/opt/conda/envs/tinyllava/lib/python3.10/site-packages/huggingface_hub/utils/_validators.py", line 154, in validate_repo_id
+    raise HFValidationError(
+huggingface_hub.errors.HFValidationError: Repo id must be in the form 'repo_name' or 'namespace/repo_name': '/nfs/ywang29/TinyLLaVA/checkpoints/qwen2.5-0_5b_base_masktune_42_llm-connector_text-3.0_0.5_5e-2_connector-3.0_0.5_5e-2_ablation/mask_applied'. Use `repo_type` argument if needed.
+
+The above exception was the direct cause of the following exception:
+
+Traceback (most recent call last):
+  File "/opt/conda/envs/tinyllava/lib/python3.10/runpy.py", line 196, in _run_module_as_main
+    return _run_code(code, main_globals, None,
+  File "/opt/conda/envs/tinyllava/lib/python3.10/runpy.py", line 86, in _run_code
+    exec(code, run_globals)
+  File "/nfs/ywang29/TinyLLaVA/tinyllava/eval/model_vqa_loader.py", line 146, in <module>
+    eval_model(args)
+  File "/nfs/ywang29/TinyLLaVA/tinyllava/eval/model_vqa_loader.py", line 79, in eval_model
+    model, tokenizer, image_processor, context_len = load_pretrained_model(model_path)
+  File "/nfs/ywang29/TinyLLaVA/tinyllava/model/load_model.py", line 40, in load_pretrained_model
+    model_config = TinyLlavaConfig.from_pretrained(model_name_or_path)
+  File "/nfs/ywang29/TinyLLaVA/transformers/src/transformers/configuration_utils.py", line 602, in from_pretrained
+    config_dict, kwargs = cls.get_config_dict(pretrained_model_name_or_path, **kwargs)
+  File "/nfs/ywang29/TinyLLaVA/transformers/src/transformers/configuration_utils.py", line 631, in get_config_dict
+    config_dict, kwargs = cls._get_config_dict(pretrained_model_name_or_path, **kwargs)
+  File "/nfs/ywang29/TinyLLaVA/transformers/src/transformers/configuration_utils.py", line 686, in _get_config_dict
+    resolved_config_file = cached_file(
+  File "/nfs/ywang29/TinyLLaVA/transformers/src/transformers/utils/hub.py", line 462, in cached_file
+    raise EnvironmentError(
+OSError: Incorrect path_or_model_id: '/nfs/ywang29/TinyLLaVA/checkpoints/qwen2.5-0_5b_base_masktune_42_llm-connector_text-3.0_0.5_5e-2_connector-3.0_0.5_5e-2_ablation/mask_applied'. Please provide either the path to a local folder or the repo_id of a model on the Hub.
+Traceback (most recent call last):
+  File "/s3-code/ywang29/datasets/tinyllava/eval/MME/convert_answer_to_mme.py", line 52, in <module>
+    answers = [json.loads(line) for line in open(os.path.join('answers', f'{experiment}.jsonl'))]
+FileNotFoundError: [Errno 2] No such file or directory: 'answers/qwen2.5-0_5b_base_masktune_42_llm-connector_text-3.0_0.5_5e-2_connector-3.0_0.5_5e-2_ablation-mask_applied.jsonl'
+=========== Perception ===========
+Traceback (most recent call last):
+  File "/s3-code/ywang29/datasets/tinyllava/eval/MME/eval_tool/calculation.py", line 164, in <module>
+    cal.process_result(results_dir)
+  File "/s3-code/ywang29/datasets/tinyllava/eval/MME/eval_tool/calculation.py", line 98, in process_result
+    lines = open(task_txt, 'r').readlines()
+FileNotFoundError: [Errno 2] No such file or directory: 'answers/qwen2.5-0_5b_base_masktune_42_llm-connector_text-3.0_0.5_5e-2_connector-3.0_0.5_5e-2_ablation-mask_applied/existence.txt'
+/opt/conda/envs/tinyllava/lib/python3.10/site-packages/torch/cuda/__init__.py:51: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
+  import pynvml  # type: ignore[import]
+[2025-10-12 19:02:46,283] [INFO] [real_accelerator.py:191:get_accelerator] Setting ds_accelerator to cuda (auto detect)
+Traceback (most recent call last):
+  File "/nfs/ywang29/TinyLLaVA/transformers/src/transformers/utils/hub.py", line 398, in cached_file
+    resolved_file = hf_hub_download(
+  File "/opt/conda/envs/tinyllava/lib/python3.10/site-packages/huggingface_hub/utils/_validators.py", line 106, in _inner_fn
+    validate_repo_id(arg_value)
+  File "/opt/conda/envs/tinyllava/lib/python3.10/site-packages/huggingface_hub/utils/_validators.py", line 154, in validate_repo_id
+    raise HFValidationError(
+huggingface_hub.errors.HFValidationError: Repo id must be in the form 'repo_name' or 'namespace/repo_name': '/nfs/ywang29/TinyLLaVA/checkpoints/qwen2.5-0_5b_base_masktune_42_llm-connector_text-3.0_0.5_5e-2_connector-3.0_0.5_5e-2_ablation/mask_applied'. Use `repo_type` argument if needed.
+
+The above exception was the direct cause of the following exception:
+
+Traceback (most recent call last):
+  File "/nfs/ywang29/TinyLLaVA/tinyllava/model/load_model.py", line 38, in load_pretrained_model
+    model = TinyLlavaForConditionalGeneration.from_pretrained(model_name_or_path,low_cpu_mem_usage=True)
+  File "/nfs/ywang29/TinyLLaVA/transformers/src/transformers/modeling_utils.py", line 3015, in from_pretrained
+    resolved_config_file = cached_file(
+  File "/nfs/ywang29/TinyLLaVA/transformers/src/transformers/utils/hub.py", line 462, in cached_file
+    raise EnvironmentError(
+OSError: Incorrect path_or_model_id: '/nfs/ywang29/TinyLLaVA/checkpoints/qwen2.5-0_5b_base_masktune_42_llm-connector_text-3.0_0.5_5e-2_connector-3.0_0.5_5e-2_ablation/mask_applied'. Please provide either the path to a local folder or the repo_id of a model on the Hub.
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+  File "/nfs/ywang29/TinyLLaVA/transformers/src/transformers/utils/hub.py", line 398, in cached_file
+    resolved_file = hf_hub_download(
+  File "/opt/conda/envs/tinyllava/lib/python3.10/site-packages/huggingface_hub/utils/_validators.py", line 106, in _inner_fn
+    validate_repo_id(arg_value)
+  File "/opt/conda/envs/tinyllava/lib/python3.10/site-packages/huggingface_hub/utils/_validators.py", line 154, in validate_repo_id
+    raise HFValidationError(
+huggingface_hub.errors.HFValidationError: Repo id must be in the form 'repo_name' or 'namespace/repo_name': '/nfs/ywang29/TinyLLaVA/checkpoints/qwen2.5-0_5b_base_masktune_42_llm-connector_text-3.0_0.5_5e-2_connector-3.0_0.5_5e-2_ablation/mask_applied'. Use `repo_type` argument if needed.
+
+The above exception was the direct cause of the following exception:
+
+Traceback (most recent call last):
+  File "/opt/conda/envs/tinyllava/lib/python3.10/runpy.py", line 196, in _run_module_as_main
+    return _run_code(code, main_globals, None,
+  File "/opt/conda/envs/tinyllava/lib/python3.10/runpy.py", line 86, in _run_code
+    exec(code, run_globals)
+  File "/nfs/ywang29/TinyLLaVA/tinyllava/eval/model_vqa_science.py", line 108, in <module>
+    eval_model(args)
+  File "/nfs/ywang29/TinyLLaVA/tinyllava/eval/model_vqa_science.py", line 31, in eval_model
+    model, tokenizer, image_processor, context_len = load_pretrained_model(model_path)
+  File "/nfs/ywang29/TinyLLaVA/tinyllava/model/load_model.py", line 40, in load_pretrained_model
+    model_config = TinyLlavaConfig.from_pretrained(model_name_or_path)
+  File "/nfs/ywang29/TinyLLaVA/transformers/src/transformers/configuration_utils.py", line 602, in from_pretrained
+    config_dict, kwargs = cls.get_config_dict(pretrained_model_name_or_path, **kwargs)
+  File "/nfs/ywang29/TinyLLaVA/transformers/src/transformers/configuration_utils.py", line 631, in get_config_dict
+    config_dict, kwargs = cls._get_config_dict(pretrained_model_name_or_path, **kwargs)
+  File "/nfs/ywang29/TinyLLaVA/transformers/src/transformers/configuration_utils.py", line 686, in _get_config_dict
+    resolved_config_file = cached_file(
+  File "/nfs/ywang29/TinyLLaVA/transformers/src/transformers/utils/hub.py", line 462, in cached_file
+    raise EnvironmentError(
+OSError: Incorrect path_or_model_id: '/nfs/ywang29/TinyLLaVA/checkpoints/qwen2.5-0_5b_base_masktune_42_llm-connector_text-3.0_0.5_5e-2_connector-3.0_0.5_5e-2_ablation/mask_applied'. Please provide either the path to a local folder or the repo_id of a model on the Hub.
+Traceback (most recent call last):
+  File "/nfs/ywang29/TinyLLaVA/tinyllava/eval/eval_science_qa.py", line 45, in <module>
+    predictions = [json.loads(line) for line in open(args.result_file)]
+FileNotFoundError: [Errno 2] No such file or directory: '/s3-code/ywang29/datasets/tinyllava/eval/scienceqa/answers/qwen2.5-0_5b_base_masktune_42_llm-connector_text-3.0_0.5_5e-2_connector-3.0_0.5_5e-2_ablation-mask_applied.jsonl'
+==== EXPERIMENT COMPLETED: eval_qwen2.5-0_5b_base_masktune_42_llm-connector_text-3.0_0.5_5e-2_connector-3.0_0.5_5e-2_ablation ====
+Log File: eval_qwen2.5-0_5b_base_masktune_42_llm-connector_text-3.0_0.5_5e-2_connector-3.0_0.5_5e-2_ablation_20251012_190124.log
+Timestamp: 2025-10-12 19:02:49
+=====================================

logs_oct11/eval_qwen2.5-0_5b_base_masktune_42_llm-connector_text-3.0_1.3_2e-1_connector-3.0_1.3_2e-1_ablation_20251012_220114.log

@@ -0,0 +1,219 @@
+==== STARTING EXPERIMENT: eval_qwen2.5-0_5b_base_masktune_42_llm-connector_text-3.0_1.3_2e-1_connector-3.0_1.3_2e-1_ablation ====
+Log File: eval_qwen2.5-0_5b_base_masktune_42_llm-connector_text-3.0_1.3_2e-1_connector-3.0_1.3_2e-1_ablation_20251012_220114.log
+Timestamp: 2025-10-12 22:01:14
+=====================================
+Processing: /nfs/ywang29/TinyLLaVA/checkpoints/qwen2.5-0_5b_base_masktune_42_llm-connector_text-3.0_1.3_2e-1_connector-3.0_1.3_2e-1_ablation
+/opt/conda/envs/tinyllava/lib/python3.10/site-packages/torch/cuda/__init__.py:51: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
+  import pynvml  # type: ignore[import]
+[2025-10-12 22:01:17,821] [INFO] [real_accelerator.py:191:get_accelerator] Setting ds_accelerator to cuda (auto detect)
+Traceback (most recent call last):
+  File "/nfs/ywang29/TinyLLaVA/scripts/apply_masks.py", line 488, in <module>
+    main()
+  File "/nfs/ywang29/TinyLLaVA/scripts/apply_masks.py", line 123, in main
+    config_mask = TinyLlavaConfig.from_pretrained(model_args.mask_model_name_or_path)
+  File "/nfs/ywang29/TinyLLaVA/transformers/src/transformers/configuration_utils.py", line 602, in from_pretrained
+    config_dict, kwargs = cls.get_config_dict(pretrained_model_name_or_path, **kwargs)
+  File "/nfs/ywang29/TinyLLaVA/transformers/src/transformers/configuration_utils.py", line 631, in get_config_dict
+    config_dict, kwargs = cls._get_config_dict(pretrained_model_name_or_path, **kwargs)
+  File "/nfs/ywang29/TinyLLaVA/transformers/src/transformers/configuration_utils.py", line 686, in _get_config_dict
+    resolved_config_file = cached_file(
+  File "/nfs/ywang29/TinyLLaVA/transformers/src/transformers/utils/hub.py", line 369, in cached_file
+    raise EnvironmentError(
+OSError: /nfs/ywang29/TinyLLaVA/checkpoints/qwen2.5-0_5b_base_masktune_42_llm-connector_text-3.0_1.3_2e-1_connector-3.0_1.3_2e-1_ablation does not appear to have a file named config.json. Checkout 'https://huggingface.co//nfs/ywang29/TinyLLaVA/checkpoints/qwen2.5-0_5b_base_masktune_42_llm-connector_text-3.0_1.3_2e-1_connector-3.0_1.3_2e-1_ablation/tree/main' for available files.
+/opt/conda/envs/tinyllava/lib/python3.10/site-packages/torch/cuda/__init__.py:51: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
+  import pynvml  # type: ignore[import]
+[2025-10-12 22:01:25,210] [INFO] [real_accelerator.py:191:get_accelerator] Setting ds_accelerator to cuda (auto detect)
+Traceback (most recent call last):
+  File "/nfs/ywang29/TinyLLaVA/transformers/src/transformers/utils/hub.py", line 398, in cached_file
+    resolved_file = hf_hub_download(
+  File "/opt/conda/envs/tinyllava/lib/python3.10/site-packages/huggingface_hub/utils/_validators.py", line 106, in _inner_fn
+    validate_repo_id(arg_value)
+  File "/opt/conda/envs/tinyllava/lib/python3.10/site-packages/huggingface_hub/utils/_validators.py", line 154, in validate_repo_id
+    raise HFValidationError(
+huggingface_hub.errors.HFValidationError: Repo id must be in the form 'repo_name' or 'namespace/repo_name': '/nfs/ywang29/TinyLLaVA/checkpoints/qwen2.5-0_5b_base_masktune_42_llm-connector_text-3.0_1.3_2e-1_connector-3.0_1.3_2e-1_ablation/mask_applied'. Use `repo_type` argument if needed.
+
+The above exception was the direct cause of the following exception:
+
+Traceback (most recent call last):
+  File "/nfs/ywang29/TinyLLaVA/tinyllava/model/load_model.py", line 38, in load_pretrained_model
+    model = TinyLlavaForConditionalGeneration.from_pretrained(model_name_or_path,low_cpu_mem_usage=True)
+  File "/nfs/ywang29/TinyLLaVA/transformers/src/transformers/modeling_utils.py", line 3015, in from_pretrained
+    resolved_config_file = cached_file(
+  File "/nfs/ywang29/TinyLLaVA/transformers/src/transformers/utils/hub.py", line 462, in cached_file
+    raise EnvironmentError(
+OSError: Incorrect path_or_model_id: '/nfs/ywang29/TinyLLaVA/checkpoints/qwen2.5-0_5b_base_masktune_42_llm-connector_text-3.0_1.3_2e-1_connector-3.0_1.3_2e-1_ablation/mask_applied'. Please provide either the path to a local folder or the repo_id of a model on the Hub.
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+  File "/nfs/ywang29/TinyLLaVA/transformers/src/transformers/utils/hub.py", line 398, in cached_file
+    resolved_file = hf_hub_download(
+  File "/opt/conda/envs/tinyllava/lib/python3.10/site-packages/huggingface_hub/utils/_validators.py", line 106, in _inner_fn
+    validate_repo_id(arg_value)
+  File "/opt/conda/envs/tinyllava/lib/python3.10/site-packages/huggingface_hub/utils/_validators.py", line 154, in validate_repo_id
+    raise HFValidationError(
+huggingface_hub.errors.HFValidationError: Repo id must be in the form 'repo_name' or 'namespace/repo_name': '/nfs/ywang29/TinyLLaVA/checkpoints/qwen2.5-0_5b_base_masktune_42_llm-connector_text-3.0_1.3_2e-1_connector-3.0_1.3_2e-1_ablation/mask_applied'. Use `repo_type` argument if needed.
+
+The above exception was the direct cause of the following exception:
+
+Traceback (most recent call last):
+  File "/opt/conda/envs/tinyllava/lib/python3.10/runpy.py", line 196, in _run_module_as_main
+    return _run_code(code, main_globals, None,
+  File "/opt/conda/envs/tinyllava/lib/python3.10/runpy.py", line 86, in _run_code
+    exec(code, run_globals)
+  File "/nfs/ywang29/TinyLLaVA/tinyllava/eval/model_vqa_mmmu.py", line 180, in <module>
+    eval_model(args)
+  File "/nfs/ywang29/TinyLLaVA/tinyllava/eval/model_vqa_mmmu.py", line 88, in eval_model
+    model, tokenizer, image_processor, context_len = load_pretrained_model(model_path)
+  File "/nfs/ywang29/TinyLLaVA/tinyllava/model/load_model.py", line 40, in load_pretrained_model
+    model_config = TinyLlavaConfig.from_pretrained(model_name_or_path)
+  File "/nfs/ywang29/TinyLLaVA/transformers/src/transformers/configuration_utils.py", line 602, in from_pretrained
+    config_dict, kwargs = cls.get_config_dict(pretrained_model_name_or_path, **kwargs)
+  File "/nfs/ywang29/TinyLLaVA/transformers/src/transformers/configuration_utils.py", line 631, in get_config_dict
+    config_dict, kwargs = cls._get_config_dict(pretrained_model_name_or_path, **kwargs)
+  File "/nfs/ywang29/TinyLLaVA/transformers/src/transformers/configuration_utils.py", line 686, in _get_config_dict
+    resolved_config_file = cached_file(
+  File "/nfs/ywang29/TinyLLaVA/transformers/src/transformers/utils/hub.py", line 462, in cached_file
+    raise EnvironmentError(
+OSError: Incorrect path_or_model_id: '/nfs/ywang29/TinyLLaVA/checkpoints/qwen2.5-0_5b_base_masktune_42_llm-connector_text-3.0_1.3_2e-1_connector-3.0_1.3_2e-1_ablation/mask_applied'. Please provide either the path to a local folder or the repo_id of a model on the Hub.
+Traceback (most recent call last):
+  File "/nfs/ywang29/TinyLLaVA/scripts/convert_answer_to_mmmu.py", line 31, in <module>
+    eval_model(args)
+  File "/nfs/ywang29/TinyLLaVA/scripts/convert_answer_to_mmmu.py", line 7, in eval_model
+    answers = [json.loads(q) for q in open(os.path.expanduser(args.answers_file), "r")]
+FileNotFoundError: [Errno 2] No such file or directory: '/s3-code/ywang29/datasets/tinyllava/eval/MMMU/answers/qwen2.5-0_5b_base_masktune_42_llm-connector_text-3.0_1.3_2e-1_connector-3.0_1.3_2e-1_ablation-mask_applied.jsonl'
+Traceback (most recent call last):
+  File "/s3-code/ywang29/datasets/tinyllava/eval/MMMU/eval/main_eval_only.py", line 19, in <module>
+    output_dict = json.load(open(args.output_path))
+FileNotFoundError: [Errno 2] No such file or directory: '/s3-code/ywang29/datasets/tinyllava/eval/MMMU/answers/qwen2.5-0_5b_base_masktune_42_llm-connector_text-3.0_1.3_2e-1_connector-3.0_1.3_2e-1_ablation-mask_applied_output.json'
+/opt/conda/envs/tinyllava/lib/python3.10/site-packages/torch/cuda/__init__.py:51: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
+  import pynvml  # type: ignore[import]
+[2025-10-12 22:01:31,630] [INFO] [real_accelerator.py:191:get_accelerator] Setting ds_accelerator to cuda (auto detect)
+Traceback (most recent call last):
+  File "/nfs/ywang29/TinyLLaVA/transformers/src/transformers/utils/hub.py", line 398, in cached_file
+    resolved_file = hf_hub_download(
+  File "/opt/conda/envs/tinyllava/lib/python3.10/site-packages/huggingface_hub/utils/_validators.py", line 106, in _inner_fn
+    validate_repo_id(arg_value)
+  File "/opt/conda/envs/tinyllava/lib/python3.10/site-packages/huggingface_hub/utils/_validators.py", line 154, in validate_repo_id
+    raise HFValidationError(
+huggingface_hub.errors.HFValidationError: Repo id must be in the form 'repo_name' or 'namespace/repo_name': '/nfs/ywang29/TinyLLaVA/checkpoints/qwen2.5-0_5b_base_masktune_42_llm-connector_text-3.0_1.3_2e-1_connector-3.0_1.3_2e-1_ablation/mask_applied'. Use `repo_type` argument if needed.
+
+The above exception was the direct cause of the following exception:
+
+Traceback (most recent call last):
+  File "/nfs/ywang29/TinyLLaVA/tinyllava/model/load_model.py", line 38, in load_pretrained_model
+    model = TinyLlavaForConditionalGeneration.from_pretrained(model_name_or_path,low_cpu_mem_usage=True)
+  File "/nfs/ywang29/TinyLLaVA/transformers/src/transformers/modeling_utils.py", line 3015, in from_pretrained
+    resolved_config_file = cached_file(
+  File "/nfs/ywang29/TinyLLaVA/transformers/src/transformers/utils/hub.py", line 462, in cached_file
+    raise EnvironmentError(
+OSError: Incorrect path_or_model_id: '/nfs/ywang29/TinyLLaVA/checkpoints/qwen2.5-0_5b_base_masktune_42_llm-connector_text-3.0_1.3_2e-1_connector-3.0_1.3_2e-1_ablation/mask_applied'. Please provide either the path to a local folder or the repo_id of a model on the Hub.
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+  File "/nfs/ywang29/TinyLLaVA/transformers/src/transformers/utils/hub.py", line 398, in cached_file
+    resolved_file = hf_hub_download(
+  File "/opt/conda/envs/tinyllava/lib/python3.10/site-packages/huggingface_hub/utils/_validators.py", line 106, in _inner_fn
+    validate_repo_id(arg_value)
+  File "/opt/conda/envs/tinyllava/lib/python3.10/site-packages/huggingface_hub/utils/_validators.py", line 154, in validate_repo_id
+    raise HFValidationError(
+huggingface_hub.errors.HFValidationError: Repo id must be in the form 'repo_name' or 'namespace/repo_name': '/nfs/ywang29/TinyLLaVA/checkpoints/qwen2.5-0_5b_base_masktune_42_llm-connector_text-3.0_1.3_2e-1_connector-3.0_1.3_2e-1_ablation/mask_applied'. Use `repo_type` argument if needed.
+
+The above exception was the direct cause of the following exception:
+
+Traceback (most recent call last):
+  File "/opt/conda/envs/tinyllava/lib/python3.10/runpy.py", line 196, in _run_module_as_main
+    return _run_code(code, main_globals, None,
+  File "/opt/conda/envs/tinyllava/lib/python3.10/runpy.py", line 86, in _run_code
+    exec(code, run_globals)
+  File "/nfs/ywang29/TinyLLaVA/tinyllava/eval/model_vqa_loader.py", line 146, in <module>
+    eval_model(args)
+  File "/nfs/ywang29/TinyLLaVA/tinyllava/eval/model_vqa_loader.py", line 79, in eval_model
+    model, tokenizer, image_processor, context_len = load_pretrained_model(model_path)
+  File "/nfs/ywang29/TinyLLaVA/tinyllava/model/load_model.py", line 40, in load_pretrained_model
+    model_config = TinyLlavaConfig.from_pretrained(model_name_or_path)
+  File "/nfs/ywang29/TinyLLaVA/transformers/src/transformers/configuration_utils.py", line 602, in from_pretrained
+    config_dict, kwargs = cls.get_config_dict(pretrained_model_name_or_path, **kwargs)
+  File "/nfs/ywang29/TinyLLaVA/transformers/src/transformers/configuration_utils.py", line 631, in get_config_dict
+    config_dict, kwargs = cls._get_config_dict(pretrained_model_name_or_path, **kwargs)
+  File "/nfs/ywang29/TinyLLaVA/transformers/src/transformers/configuration_utils.py", line 686, in _get_config_dict
+    resolved_config_file = cached_file(
+  File "/nfs/ywang29/TinyLLaVA/transformers/src/transformers/utils/hub.py", line 462, in cached_file
+    raise EnvironmentError(
+OSError: Incorrect path_or_model_id: '/nfs/ywang29/TinyLLaVA/checkpoints/qwen2.5-0_5b_base_masktune_42_llm-connector_text-3.0_1.3_2e-1_connector-3.0_1.3_2e-1_ablation/mask_applied'. Please provide either the path to a local folder or the repo_id of a model on the Hub.
+Traceback (most recent call last):
+  File "/s3-code/ywang29/datasets/tinyllava/eval/MME/convert_answer_to_mme.py", line 52, in <module>
+    answers = [json.loads(line) for line in open(os.path.join('answers', f'{experiment}.jsonl'))]
+FileNotFoundError: [Errno 2] No such file or directory: 'answers/qwen2.5-0_5b_base_masktune_42_llm-connector_text-3.0_1.3_2e-1_connector-3.0_1.3_2e-1_ablation-mask_applied.jsonl'
+=========== Perception ===========
+Traceback (most recent call last):
+  File "/s3-code/ywang29/datasets/tinyllava/eval/MME/eval_tool/calculation.py", line 164, in <module>
+    cal.process_result(results_dir)
+  File "/s3-code/ywang29/datasets/tinyllava/eval/MME/eval_tool/calculation.py", line 98, in process_result
+    lines = open(task_txt, 'r').readlines()
+FileNotFoundError: [Errno 2] No such file or directory: 'answers/qwen2.5-0_5b_base_masktune_42_llm-connector_text-3.0_1.3_2e-1_connector-3.0_1.3_2e-1_ablation-mask_applied/existence.txt'
+/opt/conda/envs/tinyllava/lib/python3.10/site-packages/torch/cuda/__init__.py:51: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
+  import pynvml  # type: ignore[import]
+[2025-10-12 22:02:36,588] [INFO] [real_accelerator.py:191:get_accelerator] Setting ds_accelerator to cuda (auto detect)
+Traceback (most recent call last):
+  File "/nfs/ywang29/TinyLLaVA/transformers/src/transformers/utils/hub.py", line 398, in cached_file
+    resolved_file = hf_hub_download(
+  File "/opt/conda/envs/tinyllava/lib/python3.10/site-packages/huggingface_hub/utils/_validators.py", line 106, in _inner_fn
+    validate_repo_id(arg_value)
+  File "/opt/conda/envs/tinyllava/lib/python3.10/site-packages/huggingface_hub/utils/_validators.py", line 154, in validate_repo_id
+    raise HFValidationError(
+huggingface_hub.errors.HFValidationError: Repo id must be in the form 'repo_name' or 'namespace/repo_name': '/nfs/ywang29/TinyLLaVA/checkpoints/qwen2.5-0_5b_base_masktune_42_llm-connector_text-3.0_1.3_2e-1_connector-3.0_1.3_2e-1_ablation/mask_applied'. Use `repo_type` argument if needed.
+
+The above exception was the direct cause of the following exception:
+
+Traceback (most recent call last):
+  File "/nfs/ywang29/TinyLLaVA/tinyllava/model/load_model.py", line 38, in load_pretrained_model
+    model = TinyLlavaForConditionalGeneration.from_pretrained(model_name_or_path,low_cpu_mem_usage=True)
+  File "/nfs/ywang29/TinyLLaVA/transformers/src/transformers/modeling_utils.py", line 3015, in from_pretrained
+    resolved_config_file = cached_file(
+  File "/nfs/ywang29/TinyLLaVA/transformers/src/transformers/utils/hub.py", line 462, in cached_file
+    raise EnvironmentError(
+OSError: Incorrect path_or_model_id: '/nfs/ywang29/TinyLLaVA/checkpoints/qwen2.5-0_5b_base_masktune_42_llm-connector_text-3.0_1.3_2e-1_connector-3.0_1.3_2e-1_ablation/mask_applied'. Please provide either the path to a local folder or the repo_id of a model on the Hub.
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+  File "/nfs/ywang29/TinyLLaVA/transformers/src/transformers/utils/hub.py", line 398, in cached_file
+    resolved_file = hf_hub_download(
+  File "/opt/conda/envs/tinyllava/lib/python3.10/site-packages/huggingface_hub/utils/_validators.py", line 106, in _inner_fn
+    validate_repo_id(arg_value)
+  File "/opt/conda/envs/tinyllava/lib/python3.10/site-packages/huggingface_hub/utils/_validators.py", line 154, in validate_repo_id
+    raise HFValidationError(
+huggingface_hub.errors.HFValidationError: Repo id must be in the form 'repo_name' or 'namespace/repo_name': '/nfs/ywang29/TinyLLaVA/checkpoints/qwen2.5-0_5b_base_masktune_42_llm-connector_text-3.0_1.3_2e-1_connector-3.0_1.3_2e-1_ablation/mask_applied'. Use `repo_type` argument if needed.
+
+The above exception was the direct cause of the following exception:
+
+Traceback (most recent call last):
+  File "/opt/conda/envs/tinyllava/lib/python3.10/runpy.py", line 196, in _run_module_as_main
+    return _run_code(code, main_globals, None,
+  File "/opt/conda/envs/tinyllava/lib/python3.10/runpy.py", line 86, in _run_code
+    exec(code, run_globals)
+  File "/nfs/ywang29/TinyLLaVA/tinyllava/eval/model_vqa_science.py", line 108, in <module>
+    eval_model(args)
+  File "/nfs/ywang29/TinyLLaVA/tinyllava/eval/model_vqa_science.py", line 31, in eval_model
+    model, tokenizer, image_processor, context_len = load_pretrained_model(model_path)
+  File "/nfs/ywang29/TinyLLaVA/tinyllava/model/load_model.py", line 40, in load_pretrained_model
+    model_config = TinyLlavaConfig.from_pretrained(model_name_or_path)
+  File "/nfs/ywang29/TinyLLaVA/transformers/src/transformers/configuration_utils.py", line 602, in from_pretrained
+    config_dict, kwargs = cls.get_config_dict(pretrained_model_name_or_path, **kwargs)
+  File "/nfs/ywang29/TinyLLaVA/transformers/src/transformers/configuration_utils.py", line 631, in get_config_dict
+    config_dict, kwargs = cls._get_config_dict(pretrained_model_name_or_path, **kwargs)
+  File "/nfs/ywang29/TinyLLaVA/transformers/src/transformers/configuration_utils.py", line 686, in _get_config_dict
+    resolved_config_file = cached_file(
+  File "/nfs/ywang29/TinyLLaVA/transformers/src/transformers/utils/hub.py", line 462, in cached_file
+    raise EnvironmentError(
+OSError: Incorrect path_or_model_id: '/nfs/ywang29/TinyLLaVA/checkpoints/qwen2.5-0_5b_base_masktune_42_llm-connector_text-3.0_1.3_2e-1_connector-3.0_1.3_2e-1_ablation/mask_applied'. Please provide either the path to a local folder or the repo_id of a model on the Hub.
+Traceback (most recent call last):
+  File "/nfs/ywang29/TinyLLaVA/tinyllava/eval/eval_science_qa.py", line 45, in <module>
+    predictions = [json.loads(line) for line in open(args.result_file)]
+FileNotFoundError: [Errno 2] No such file or directory: '/s3-code/ywang29/datasets/tinyllava/eval/scienceqa/answers/qwen2.5-0_5b_base_masktune_42_llm-connector_text-3.0_1.3_2e-1_connector-3.0_1.3_2e-1_ablation-mask_applied.jsonl'
+==== EXPERIMENT COMPLETED: eval_qwen2.5-0_5b_base_masktune_42_llm-connector_text-3.0_1.3_2e-1_connector-3.0_1.3_2e-1_ablation ====
+Log File: eval_qwen2.5-0_5b_base_masktune_42_llm-connector_text-3.0_1.3_2e-1_connector-3.0_1.3_2e-1_ablation_20251012_220114.log
+Timestamp: 2025-10-12 22:02:39
+=====================================

logs_oct11/logs_oct10.tar

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+oid sha256:49b2a4f137f8b5451c7553bd7aff99979ef50535267bd54c9681bcbc8c342cde
+size 917335

logs_oct11/logs_oct9.tar

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+version https://git-lfs.github.com/spec/v1
+oid sha256:88c8911009bc76194a78b1b78dc3bebabc8069034e88401141577ac3aac0e6e4
+size 471303

logs_oct11/plot_ablation.py

@@ -0,0 +1,120 @@
+import numpy as np
+import matplotlib
+import matplotlib.pyplot as plt
+from mpl_toolkits.mplot3d import Axes3D
+
+# 使用Agg后端（无GUI）
+matplotlib.use("Agg")
+
+# 定义x轴和y轴的数据
+x_values = np.array([1, 3, 5, 7, 9])  # init value
+y_values = np.array([0.1, 0.3, 0.5, 0.7, 0.9, 1.1, 1.3, 1.5, 1.7, 1.9, 2.1, 2.3, 2.5, 2.7, 2.9])  # temperature
+
+# 创建网格
+X, Y = np.meshgrid(x_values, y_values)
+
+# Z轴数据（performance）- 这里使用示例数据
+# 请将这里替换为你的实际数据，应该是一个15x5的数组
+# 示例：使用一个简单的函数生成数据
+# Z = np.sin(np.sqrt(X**2 + Y**2)) * 100 + np.random.randn(15, 5) * 5
+
+# 如果你有实际的performance数据，请按照以下格式替换：
+Z = np.array([
+    [11.9, 14.8, 13.7, 13.0, 10.8],  # temperature=0.1时，对应5个init value的performance
+    [17.5, 10.8, 10.3, 14.3, 13.0],  # temperature=0.3时，对应5个init value的performance
+    [29.2, 31.7, 13.5, 10.1, 14.8],  # temperature=0.5时，对应5个init value的performance
+    [20.0, 30.8, 23.3, 14.2, 11.1],  # temperature=0.7时，对应5个init value的performance
+    [10.9, 23.3, 25.0, 24.2, 10.9],  # temperature=0.9时，对应5个init value的performance
+    [23.3, 24.2, 23.3, 29.2, 21.7],  # temperature=1.1时，对应5个init value的performance
+    [21.7, 27.5, 22.5, 25.8, 25.0],  # temperature=1.3时，对应5个init value的performance
+    [11.5, 23.3, 17.5, 26.7, 27.5],  # temperature=1.5时，对应5个init value的performance
+    [24.2, 24.2, 16.7, 23.3, 29.2],  # temperature=1.7时，对应5个init value的performance
+    [18.3, 24.2, 27.5, 20.0, 25.8],  # temperature=1.9时，对应5个init value的performance
+    [25.8, 25.8, 26.7, 21.7, 28.3],  # temperature=2.1时，对应5个init value的performance
+    [28.3, 26.2, 23.3, 20.8, 26.7],  # temperature=2.3时，对应5个init value的performance
+    [20.0, 24.2, 20.0, 20.0, 28.3],  # temperature=2.5时，对应5个init value的performance
+    [23.3, 26.2, 21.7, 24.2, 24.2],  # temperature=2.7时，对应5个init value的performance
+    [15.8, 22.5, 20.8, 25.8, 23.3],  # temperature=2.9时，对应5个init value的performance
+])
+
+# 创建3D图形
+fig = plt.figure(figsize=(12, 8))
+ax = fig.add_subplot(111, projection='3d')
+
+# 绘制3D表面图（不显示散点）
+surf = ax.plot_surface(X, Y, Z, cmap='RdYlBu_r', alpha=0.8, edgecolor='none')
+
+# 设置轴标签
+ax.set_xlabel('Init Value', fontsize=12, labelpad=10)
+ax.set_ylabel('Temperature', fontsize=12, labelpad=10)
+ax.set_zlabel('Performance', fontsize=12, labelpad=10)
+
+# 设置标题（字体更大，间隙更小）
+ax.set_title('Performance vs Init Value and Temperature', fontsize=18, pad=10)
+
+# 添加颜色条（更窄，离图更近）
+colorbar = fig.colorbar(surf, ax=ax, shrink=0.5, aspect=10, pad=0.05)
+colorbar.set_label('Performance', rotation=270, labelpad=15)
+
+# 设置视角（可以调整以获得最佳视图）
+ax.view_init(elev=30, azim=45)
+
+# 明确设置x轴和y轴的刻度
+ax.set_xticks(x_values)
+ax.set_yticks(y_values)
+# 如果需要，也可以设置z轴的刻度
+# ax.set_zticks(np.linspace(Z.min(), Z.max(), 5))
+
+# 移除网格线
+ax.grid(False)
+
+# 设置透明背景
+ax.xaxis.pane.fill = False
+ax.yaxis.pane.fill = False
+ax.zaxis.pane.fill = False
+ax.xaxis.pane.set_edgecolor('none')
+ax.yaxis.pane.set_edgecolor('none')
+ax.zaxis.pane.set_edgecolor('none')
+
+# 保存3D图（透明背景）
+plt.tight_layout()
+plt.savefig('3d_surface_plot.png', dpi=300, bbox_inches='tight', transparent=True)
+plt.close()
+
+print("3D表面图已保存为: 3d_surface_plot.png")
+
+# 创建等高线图
+plt.figure(figsize=(7, 5))
+
+num_levels = 15
+# 使用 'RdYlBu_r' 颜色映射
+contourf = plt.contourf(X, Y, Z, levels=num_levels, cmap='RdYlBu_r', alpha=0.7)
+
+# 加粗的黑色等高线，不贴数值标签
+contour_lines = plt.contour(X, Y, Z, levels=num_levels, colors='black', alpha=0.5, linewidths=1.5)
+
+# 添加颜色条（更窄，离图更近）
+cbar = plt.colorbar(contourf, shrink=0.8, aspect=15, pad=0.02)
+cbar.set_label("Performance", rotation=270, labelpad=15)
+
+# 设置轴标签
+plt.xlabel('Init Value', fontsize=12)
+plt.ylabel('Temperature', fontsize=12)
+
+# 设置标题（字体更大，间隙更小）
+plt.title('Performance Contour Plot', fontsize=18, pad=10)
+
+# 移除网格
+plt.grid(False)
+
+# 显示x和y轴的刻度
+plt.xticks(x_values)
+plt.yticks(y_values)
+
+# 保存等高线图（透明背景）
+plt.tight_layout()
+plt.savefig('contour_plot.png', dpi=300, bbox_inches='tight', transparent=True)
+plt.close()
+
+print("等高线图已保存为: contour_plot.png")
+print("所有图片已成功保存！")

logs_oct11/pretrain_qwen.zip

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:420378c2943468d547bf10619389107e3e52783ba88768e51e07099df45eadc6
+size 1473310868

logs_oct11/pyproject.toml

@@ -0,0 +1,38 @@
+[build-system]
+requires = ["setuptools>=61.0"]
+build-backend = "setuptools.build_meta"
+
+[project]
+name = "tinyllava"
+version = "1.0.0"
+description = "A Framework of Small-scale Large Multimodal Models."
+readme = "README.md"
+requires-python = ">=3.9"
+classifiers = [
+    "Programming Language :: Python :: 3",
+    "License :: OSI Approved :: Apache Software License",
+]
+dependencies = [
+    "torch==2.1.0", "torchvision==0.16.0", "tiktoken", "openpyxl", "tensorboardX",
+    "transformers==4.40.1", "tokenizers==0.19.0", "sentencepiece==0.1.99", "shortuuid",
+    "accelerate==0.27.2", "bitsandbytes==0.41.0", "peft==0.10.0",
+    "pydantic<2,>=1", "markdown2[all]", "numpy==1.26.4", "scikit-learn==1.2.2",
+    "gradio==3.35.2", "gradio_client==0.2.9",
+    "requests", "httpx==0.24.0", "uvicorn", "fastapi",
+    "einops==0.6.1", "einops-exts==0.0.4", "timm==0.6.13",
+    "deepspeed==0.14.0", "ninja", "wandb",
+]
+
+[project.optional-dependencies]
+train = ["deepspeed==0.14.0", "ninja", "wandb"]
+
+[project.urls]
+"Homepage" = "https://github.com/DLCV-BUAA/TinyLLaVABench"
+"Bug Tracker" = "https://github.com/DLCV-BUAA/TinyLLaVABench/issues"
+
+[tool.setuptools.packages.find]
+exclude = ["assets*", "benchmark*", "docs", "dist*", "playground*", "scripts*", "tests*"]
+
+[tool.wheel]
+exclude = ["assets*", "benchmark*", "docs", "dist*", "playground*", "scripts*", "tests*"]
+

logs_oct11/qwen2.5-0_5b_base_masktune_42_llm-connector_text-1.0_1.9_2e-1_connector-1.0_1.9_2e-1_ablation_20251012_155158.log

@@ -0,0 +1,6 @@
+==== STARTING EXPERIMENT: qwen2.5-0_5b_base_masktune_42_llm-connector_text-1.0_1.9_2e-1_connector-1.0_1.9_2e-1_ablation ====
+Log File: qwen2.5-0_5b_base_masktune_42_llm-connector_text-1.0_1.9_2e-1_connector-1.0_1.9_2e-1_ablation_20251012_155158.log
+Timestamp: 2025-10-12 15:51:58
+=====================================
+/opt/conda/envs/tinyllava/lib/python3.10/site-packages/torch/cuda/__init__.py:51: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
+  import pynvml  # type: ignore[import]

logs_oct11/qwen2.5-0_5b_base_masktune_42_llm-connector_text-3.0_1.3_2e-1_connector-3.0_1.3_2e-1_ablation_20251012_154943.log

@@ -0,0 +1,169 @@
+==== STARTING EXPERIMENT: qwen2.5-0_5b_base_masktune_42_llm-connector_text-3.0_1.3_2e-1_connector-3.0_1.3_2e-1_ablation ====
+Log File: qwen2.5-0_5b_base_masktune_42_llm-connector_text-3.0_1.3_2e-1_connector-3.0_1.3_2e-1_ablation_20251012_154943.log
+Timestamp: 2025-10-12 15:49:43
+=====================================
+/opt/conda/envs/tinyllava/lib/python3.10/site-packages/torch/cuda/__init__.py:51: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
+  import pynvml  # type: ignore[import]
+[2025-10-12 15:49:45,676] [INFO] [real_accelerator.py:191:get_accelerator] Setting ds_accelerator to cuda (auto detect)
+[2025-10-12 15:49:48,368] [WARNING] [runner.py:202:fetch_hostfile] Unable to find hostfile, will proceed with training with local resources only.
+[2025-10-12 15:49:48,370] [INFO] [runner.py:568:main] cmd = /opt/conda/envs/tinyllava/bin/python3.10 -u -m deepspeed.launcher.launch --world_info=eyJsb2NhbGhvc3QiOiBbMCwgMSwgMiwgMywgNCwgNSwgNiwgN119 --master_addr=127.0.0.1 --master_port=29501 --enable_each_rank_log=None tinyllava/train/train.py --deepspeed ./scripts/zero3.json --data_path /s3-code/ywang29/datasets/tinyllava/text_files/llava_v1_5_mix665k.json --image_folder /s3-code/ywang29/datasets/tinyllava --is_multimodal True --conv_version qwen2_base --model_name_or_path Qwen/Qwen2.5-0.5B --vision_tower google/siglip-so400m-patch14-384 --vision_tower2  --connector_type mlp2x_gelu --mm_vision_select_layer -2 --image_aspect_ratio square --attn_implementation flash_attention_2 --bf16 True --training_recipe common --tune_type_llm full --tune_type_vision_tower frozen --tune_vision_tower_from_layer 0 --tune_type_connector full --group_by_modality_length True --pretrained_model_path /nfs/ywang29/TinyLLaVA/checkpoints/tiny-llava-Qwen2.5-0.5B-siglip-so400m-patch14-384-pretrain --output_dir /nfs/ywang29/TinyLLaVA/checkpoints/qwen2.5-0_5b_base_masktune_42_llm-connector_text-3.0_1.3_2e-1_connector-3.0_1.3_2e-1_ablation --num_train_epochs 1 --per_device_train_batch_size 4 --per_device_eval_batch_size 4 --gradient_accumulation_steps 4 --evaluation_strategy no --learning_rate 2e-1 --weight_decay 0. --warmup_ratio 0.03 --lr_scheduler_type cosine --logging_steps 1 --tf32 False --model_max_length 2048 --gradient_checkpointing True --dataloader_num_workers 8 --lazy_preprocess True --report_to tensorboard --tokenizer_use_fast False --run_name tiny-llava-Qwen2.5-0.5B-siglip-so400m-patch14-384-qwen2.5-0_5b_base-masktune --subnet_mode_text both --subnet_type_text None --mask_type_text soft --init_mean_text 3.0 --temperature_attn_text 1.3 --temperature_mlp_text 1.3 --backward_type_text normal --masked_layers_text all --subnet_mode_vision both --subnet_type_vision None --mask_type_vision soft --init_mean_vision 3.0 --temperature_attn_vision 1.3 --temperature_mlp_vision 1.3 --backward_type_vision normal --masked_layers_vision all --subnet_type_connector global --mask_type_connector soft --init_mean_connector 3.0 --temperature_connector 1.3 --backward_type_connector normal --mm_projector_lr 2e-1 --seed 42 --mask_model llm-connector --save_strategy steps --save_steps 50000 --save_total_limit 1 --train_data_ratio 0.1
+/opt/conda/envs/tinyllava/lib/python3.10/site-packages/torch/cuda/__init__.py:51: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
+  import pynvml  # type: ignore[import]
+[2025-10-12 15:49:50,940] [INFO] [real_accelerator.py:191:get_accelerator] Setting ds_accelerator to cuda (auto detect)
+[2025-10-12 15:49:52,009] [INFO] [launch.py:138:main] 0 NCCL_VERSION=2.21.5
+[2025-10-12 15:49:52,009] [INFO] [launch.py:138:main] 0 NCCL_SOCKET_IFNAME=eth
+[2025-10-12 15:49:52,009] [INFO] [launch.py:145:main] WORLD INFO DICT: {'localhost': [0, 1, 2, 3, 4, 5, 6, 7]}
+[2025-10-12 15:49:52,009] [INFO] [launch.py:151:main] nnodes=1, num_local_procs=8, node_rank=0
+[2025-10-12 15:49:52,009] [INFO] [launch.py:162:main] global_rank_mapping=defaultdict(<class 'list'>, {'localhost': [0, 1, 2, 3, 4, 5, 6, 7]})
+[2025-10-12 15:49:52,009] [INFO] [launch.py:163:main] dist_world_size=8
+[2025-10-12 15:49:52,009] [INFO] [launch.py:165:main] Setting CUDA_VISIBLE_DEVICES=0,1,2,3,4,5,6,7
+[2025-10-12 15:49:52,012] [INFO] [launch.py:253:main] process 445249 spawned with command: ['/opt/conda/envs/tinyllava/bin/python3.10', '-u', 'tinyllava/train/train.py', '--local_rank=0', '--deepspeed', './scripts/zero3.json', '--data_path', '/s3-code/ywang29/datasets/tinyllava/text_files/llava_v1_5_mix665k.json', '--image_folder', '/s3-code/ywang29/datasets/tinyllava', '--is_multimodal', 'True', '--conv_version', 'qwen2_base', '--model_name_or_path', 'Qwen/Qwen2.5-0.5B', '--vision_tower', 'google/siglip-so400m-patch14-384', '--vision_tower2', '', '--connector_type', 'mlp2x_gelu', '--mm_vision_select_layer', '-2', '--image_aspect_ratio', 'square', '--attn_implementation', 'flash_attention_2', '--bf16', 'True', '--training_recipe', 'common', '--tune_type_llm', 'full', '--tune_type_vision_tower', 'frozen', '--tune_vision_tower_from_layer', '0', '--tune_type_connector', 'full', '--group_by_modality_length', 'True', '--pretrained_model_path', '/nfs/ywang29/TinyLLaVA/checkpoints/tiny-llava-Qwen2.5-0.5B-siglip-so400m-patch14-384-pretrain', '--output_dir', '/nfs/ywang29/TinyLLaVA/checkpoints/qwen2.5-0_5b_base_masktune_42_llm-connector_text-3.0_1.3_2e-1_connector-3.0_1.3_2e-1_ablation', '--num_train_epochs', '1', '--per_device_train_batch_size', '4', '--per_device_eval_batch_size', '4', '--gradient_accumulation_steps', '4', '--evaluation_strategy', 'no', '--learning_rate', '2e-1', '--weight_decay', '0.', '--warmup_ratio', '0.03', '--lr_scheduler_type', 'cosine', '--logging_steps', '1', '--tf32', 'False', '--model_max_length', '2048', '--gradient_checkpointing', 'True', '--dataloader_num_workers', '8', '--lazy_preprocess', 'True', '--report_to', 'tensorboard', '--tokenizer_use_fast', 'False', '--run_name', 'tiny-llava-Qwen2.5-0.5B-siglip-so400m-patch14-384-qwen2.5-0_5b_base-masktune', '--subnet_mode_text', 'both', '--subnet_type_text', 'None', '--mask_type_text', 'soft', '--init_mean_text', '3.0', '--temperature_attn_text', '1.3', '--temperature_mlp_text', '1.3', '--backward_type_text', 'normal', '--masked_layers_text', 'all', '--subnet_mode_vision', 'both', '--subnet_type_vision', 'None', '--mask_type_vision', 'soft', '--init_mean_vision', '3.0', '--temperature_attn_vision', '1.3', '--temperature_mlp_vision', '1.3', '--backward_type_vision', 'normal', '--masked_layers_vision', 'all', '--subnet_type_connector', 'global', '--mask_type_connector', 'soft', '--init_mean_connector', '3.0', '--temperature_connector', '1.3', '--backward_type_connector', 'normal', '--mm_projector_lr', '2e-1', '--seed', '42', '--mask_model', 'llm-connector', '--save_strategy', 'steps', '--save_steps', '50000', '--save_total_limit', '1', '--train_data_ratio', '0.1']
+[2025-10-12 15:49:52,014] [INFO] [launch.py:253:main] process 445250 spawned with command: ['/opt/conda/envs/tinyllava/bin/python3.10', '-u', 'tinyllava/train/train.py', '--local_rank=1', '--deepspeed', './scripts/zero3.json', '--data_path', '/s3-code/ywang29/datasets/tinyllava/text_files/llava_v1_5_mix665k.json', '--image_folder', '/s3-code/ywang29/datasets/tinyllava', '--is_multimodal', 'True', '--conv_version', 'qwen2_base', '--model_name_or_path', 'Qwen/Qwen2.5-0.5B', '--vision_tower', 'google/siglip-so400m-patch14-384', '--vision_tower2', '', '--connector_type', 'mlp2x_gelu', '--mm_vision_select_layer', '-2', '--image_aspect_ratio', 'square', '--attn_implementation', 'flash_attention_2', '--bf16', 'True', '--training_recipe', 'common', '--tune_type_llm', 'full', '--tune_type_vision_tower', 'frozen', '--tune_vision_tower_from_layer', '0', '--tune_type_connector', 'full', '--group_by_modality_length', 'True', '--pretrained_model_path', '/nfs/ywang29/TinyLLaVA/checkpoints/tiny-llava-Qwen2.5-0.5B-siglip-so400m-patch14-384-pretrain', '--output_dir', '/nfs/ywang29/TinyLLaVA/checkpoints/qwen2.5-0_5b_base_masktune_42_llm-connector_text-3.0_1.3_2e-1_connector-3.0_1.3_2e-1_ablation', '--num_train_epochs', '1', '--per_device_train_batch_size', '4', '--per_device_eval_batch_size', '4', '--gradient_accumulation_steps', '4', '--evaluation_strategy', 'no', '--learning_rate', '2e-1', '--weight_decay', '0.', '--warmup_ratio', '0.03', '--lr_scheduler_type', 'cosine', '--logging_steps', '1', '--tf32', 'False', '--model_max_length', '2048', '--gradient_checkpointing', 'True', '--dataloader_num_workers', '8', '--lazy_preprocess', 'True', '--report_to', 'tensorboard', '--tokenizer_use_fast', 'False', '--run_name', 'tiny-llava-Qwen2.5-0.5B-siglip-so400m-patch14-384-qwen2.5-0_5b_base-masktune', '--subnet_mode_text', 'both', '--subnet_type_text', 'None', '--mask_type_text', 'soft', '--init_mean_text', '3.0', '--temperature_attn_text', '1.3', '--temperature_mlp_text', '1.3', '--backward_type_text', 'normal', '--masked_layers_text', 'all', '--subnet_mode_vision', 'both', '--subnet_type_vision', 'None', '--mask_type_vision', 'soft', '--init_mean_vision', '3.0', '--temperature_attn_vision', '1.3', '--temperature_mlp_vision', '1.3', '--backward_type_vision', 'normal', '--masked_layers_vision', 'all', '--subnet_type_connector', 'global', '--mask_type_connector', 'soft', '--init_mean_connector', '3.0', '--temperature_connector', '1.3', '--backward_type_connector', 'normal', '--mm_projector_lr', '2e-1', '--seed', '42', '--mask_model', 'llm-connector', '--save_strategy', 'steps', '--save_steps', '50000', '--save_total_limit', '1', '--train_data_ratio', '0.1']
+[2025-10-12 15:49:52,016] [INFO] [launch.py:253:main] process 445251 spawned with command: ['/opt/conda/envs/tinyllava/bin/python3.10', '-u', 'tinyllava/train/train.py', '--local_rank=2', '--deepspeed', './scripts/zero3.json', '--data_path', '/s3-code/ywang29/datasets/tinyllava/text_files/llava_v1_5_mix665k.json', '--image_folder', '/s3-code/ywang29/datasets/tinyllava', '--is_multimodal', 'True', '--conv_version', 'qwen2_base', '--model_name_or_path', 'Qwen/Qwen2.5-0.5B', '--vision_tower', 'google/siglip-so400m-patch14-384', '--vision_tower2', '', '--connector_type', 'mlp2x_gelu', '--mm_vision_select_layer', '-2', '--image_aspect_ratio', 'square', '--attn_implementation', 'flash_attention_2', '--bf16', 'True', '--training_recipe', 'common', '--tune_type_llm', 'full', '--tune_type_vision_tower', 'frozen', '--tune_vision_tower_from_layer', '0', '--tune_type_connector', 'full', '--group_by_modality_length', 'True', '--pretrained_model_path', '/nfs/ywang29/TinyLLaVA/checkpoints/tiny-llava-Qwen2.5-0.5B-siglip-so400m-patch14-384-pretrain', '--output_dir', '/nfs/ywang29/TinyLLaVA/checkpoints/qwen2.5-0_5b_base_masktune_42_llm-connector_text-3.0_1.3_2e-1_connector-3.0_1.3_2e-1_ablation', '--num_train_epochs', '1', '--per_device_train_batch_size', '4', '--per_device_eval_batch_size', '4', '--gradient_accumulation_steps', '4', '--evaluation_strategy', 'no', '--learning_rate', '2e-1', '--weight_decay', '0.', '--warmup_ratio', '0.03', '--lr_scheduler_type', 'cosine', '--logging_steps', '1', '--tf32', 'False', '--model_max_length', '2048', '--gradient_checkpointing', 'True', '--dataloader_num_workers', '8', '--lazy_preprocess', 'True', '--report_to', 'tensorboard', '--tokenizer_use_fast', 'False', '--run_name', 'tiny-llava-Qwen2.5-0.5B-siglip-so400m-patch14-384-qwen2.5-0_5b_base-masktune', '--subnet_mode_text', 'both', '--subnet_type_text', 'None', '--mask_type_text', 'soft', '--init_mean_text', '3.0', '--temperature_attn_text', '1.3', '--temperature_mlp_text', '1.3', '--backward_type_text', 'normal', '--masked_layers_text', 'all', '--subnet_mode_vision', 'both', '--subnet_type_vision', 'None', '--mask_type_vision', 'soft', '--init_mean_vision', '3.0', '--temperature_attn_vision', '1.3', '--temperature_mlp_vision', '1.3', '--backward_type_vision', 'normal', '--masked_layers_vision', 'all', '--subnet_type_connector', 'global', '--mask_type_connector', 'soft', '--init_mean_connector', '3.0', '--temperature_connector', '1.3', '--backward_type_connector', 'normal', '--mm_projector_lr', '2e-1', '--seed', '42', '--mask_model', 'llm-connector', '--save_strategy', 'steps', '--save_steps', '50000', '--save_total_limit', '1', '--train_data_ratio', '0.1']
+[2025-10-12 15:49:52,018] [INFO] [launch.py:253:main] process 445252 spawned with command: ['/opt/conda/envs/tinyllava/bin/python3.10', '-u', 'tinyllava/train/train.py', '--local_rank=3', '--deepspeed', './scripts/zero3.json', '--data_path', '/s3-code/ywang29/datasets/tinyllava/text_files/llava_v1_5_mix665k.json', '--image_folder', '/s3-code/ywang29/datasets/tinyllava', '--is_multimodal', 'True', '--conv_version', 'qwen2_base', '--model_name_or_path', 'Qwen/Qwen2.5-0.5B', '--vision_tower', 'google/siglip-so400m-patch14-384', '--vision_tower2', '', '--connector_type', 'mlp2x_gelu', '--mm_vision_select_layer', '-2', '--image_aspect_ratio', 'square', '--attn_implementation', 'flash_attention_2', '--bf16', 'True', '--training_recipe', 'common', '--tune_type_llm', 'full', '--tune_type_vision_tower', 'frozen', '--tune_vision_tower_from_layer', '0', '--tune_type_connector', 'full', '--group_by_modality_length', 'True', '--pretrained_model_path', '/nfs/ywang29/TinyLLaVA/checkpoints/tiny-llava-Qwen2.5-0.5B-siglip-so400m-patch14-384-pretrain', '--output_dir', '/nfs/ywang29/TinyLLaVA/checkpoints/qwen2.5-0_5b_base_masktune_42_llm-connector_text-3.0_1.3_2e-1_connector-3.0_1.3_2e-1_ablation', '--num_train_epochs', '1', '--per_device_train_batch_size', '4', '--per_device_eval_batch_size', '4', '--gradient_accumulation_steps', '4', '--evaluation_strategy', 'no', '--learning_rate', '2e-1', '--weight_decay', '0.', '--warmup_ratio', '0.03', '--lr_scheduler_type', 'cosine', '--logging_steps', '1', '--tf32', 'False', '--model_max_length', '2048', '--gradient_checkpointing', 'True', '--dataloader_num_workers', '8', '--lazy_preprocess', 'True', '--report_to', 'tensorboard', '--tokenizer_use_fast', 'False', '--run_name', 'tiny-llava-Qwen2.5-0.5B-siglip-so400m-patch14-384-qwen2.5-0_5b_base-masktune', '--subnet_mode_text', 'both', '--subnet_type_text', 'None', '--mask_type_text', 'soft', '--init_mean_text', '3.0', '--temperature_attn_text', '1.3', '--temperature_mlp_text', '1.3', '--backward_type_text', 'normal', '--masked_layers_text', 'all', '--subnet_mode_vision', 'both', '--subnet_type_vision', 'None', '--mask_type_vision', 'soft', '--init_mean_vision', '3.0', '--temperature_attn_vision', '1.3', '--temperature_mlp_vision', '1.3', '--backward_type_vision', 'normal', '--masked_layers_vision', 'all', '--subnet_type_connector', 'global', '--mask_type_connector', 'soft', '--init_mean_connector', '3.0', '--temperature_connector', '1.3', '--backward_type_connector', 'normal', '--mm_projector_lr', '2e-1', '--seed', '42', '--mask_model', 'llm-connector', '--save_strategy', 'steps', '--save_steps', '50000', '--save_total_limit', '1', '--train_data_ratio', '0.1']
+[2025-10-12 15:49:52,021] [INFO] [launch.py:253:main] process 445253 spawned with command: ['/opt/conda/envs/tinyllava/bin/python3.10', '-u', 'tinyllava/train/train.py', '--local_rank=4', '--deepspeed', './scripts/zero3.json', '--data_path', '/s3-code/ywang29/datasets/tinyllava/text_files/llava_v1_5_mix665k.json', '--image_folder', '/s3-code/ywang29/datasets/tinyllava', '--is_multimodal', 'True', '--conv_version', 'qwen2_base', '--model_name_or_path', 'Qwen/Qwen2.5-0.5B', '--vision_tower', 'google/siglip-so400m-patch14-384', '--vision_tower2', '', '--connector_type', 'mlp2x_gelu', '--mm_vision_select_layer', '-2', '--image_aspect_ratio', 'square', '--attn_implementation', 'flash_attention_2', '--bf16', 'True', '--training_recipe', 'common', '--tune_type_llm', 'full', '--tune_type_vision_tower', 'frozen', '--tune_vision_tower_from_layer', '0', '--tune_type_connector', 'full', '--group_by_modality_length', 'True', '--pretrained_model_path', '/nfs/ywang29/TinyLLaVA/checkpoints/tiny-llava-Qwen2.5-0.5B-siglip-so400m-patch14-384-pretrain', '--output_dir', '/nfs/ywang29/TinyLLaVA/checkpoints/qwen2.5-0_5b_base_masktune_42_llm-connector_text-3.0_1.3_2e-1_connector-3.0_1.3_2e-1_ablation', '--num_train_epochs', '1', '--per_device_train_batch_size', '4', '--per_device_eval_batch_size', '4', '--gradient_accumulation_steps', '4', '--evaluation_strategy', 'no', '--learning_rate', '2e-1', '--weight_decay', '0.', '--warmup_ratio', '0.03', '--lr_scheduler_type', 'cosine', '--logging_steps', '1', '--tf32', 'False', '--model_max_length', '2048', '--gradient_checkpointing', 'True', '--dataloader_num_workers', '8', '--lazy_preprocess', 'True', '--report_to', 'tensorboard', '--tokenizer_use_fast', 'False', '--run_name', 'tiny-llava-Qwen2.5-0.5B-siglip-so400m-patch14-384-qwen2.5-0_5b_base-masktune', '--subnet_mode_text', 'both', '--subnet_type_text', 'None', '--mask_type_text', 'soft', '--init_mean_text', '3.0', '--temperature_attn_text', '1.3', '--temperature_mlp_text', '1.3', '--backward_type_text', 'normal', '--masked_layers_text', 'all', '--subnet_mode_vision', 'both', '--subnet_type_vision', 'None', '--mask_type_vision', 'soft', '--init_mean_vision', '3.0', '--temperature_attn_vision', '1.3', '--temperature_mlp_vision', '1.3', '--backward_type_vision', 'normal', '--masked_layers_vision', 'all', '--subnet_type_connector', 'global', '--mask_type_connector', 'soft', '--init_mean_connector', '3.0', '--temperature_connector', '1.3', '--backward_type_connector', 'normal', '--mm_projector_lr', '2e-1', '--seed', '42', '--mask_model', 'llm-connector', '--save_strategy', 'steps', '--save_steps', '50000', '--save_total_limit', '1', '--train_data_ratio', '0.1']
+[2025-10-12 15:49:52,023] [INFO] [launch.py:253:main] process 445254 spawned with command: ['/opt/conda/envs/tinyllava/bin/python3.10', '-u', 'tinyllava/train/train.py', '--local_rank=5', '--deepspeed', './scripts/zero3.json', '--data_path', '/s3-code/ywang29/datasets/tinyllava/text_files/llava_v1_5_mix665k.json', '--image_folder', '/s3-code/ywang29/datasets/tinyllava', '--is_multimodal', 'True', '--conv_version', 'qwen2_base', '--model_name_or_path', 'Qwen/Qwen2.5-0.5B', '--vision_tower', 'google/siglip-so400m-patch14-384', '--vision_tower2', '', '--connector_type', 'mlp2x_gelu', '--mm_vision_select_layer', '-2', '--image_aspect_ratio', 'square', '--attn_implementation', 'flash_attention_2', '--bf16', 'True', '--training_recipe', 'common', '--tune_type_llm', 'full', '--tune_type_vision_tower', 'frozen', '--tune_vision_tower_from_layer', '0', '--tune_type_connector', 'full', '--group_by_modality_length', 'True', '--pretrained_model_path', '/nfs/ywang29/TinyLLaVA/checkpoints/tiny-llava-Qwen2.5-0.5B-siglip-so400m-patch14-384-pretrain', '--output_dir', '/nfs/ywang29/TinyLLaVA/checkpoints/qwen2.5-0_5b_base_masktune_42_llm-connector_text-3.0_1.3_2e-1_connector-3.0_1.3_2e-1_ablation', '--num_train_epochs', '1', '--per_device_train_batch_size', '4', '--per_device_eval_batch_size', '4', '--gradient_accumulation_steps', '4', '--evaluation_strategy', 'no', '--learning_rate', '2e-1', '--weight_decay', '0.', '--warmup_ratio', '0.03', '--lr_scheduler_type', 'cosine', '--logging_steps', '1', '--tf32', 'False', '--model_max_length', '2048', '--gradient_checkpointing', 'True', '--dataloader_num_workers', '8', '--lazy_preprocess', 'True', '--report_to', 'tensorboard', '--tokenizer_use_fast', 'False', '--run_name', 'tiny-llava-Qwen2.5-0.5B-siglip-so400m-patch14-384-qwen2.5-0_5b_base-masktune', '--subnet_mode_text', 'both', '--subnet_type_text', 'None', '--mask_type_text', 'soft', '--init_mean_text', '3.0', '--temperature_attn_text', '1.3', '--temperature_mlp_text', '1.3', '--backward_type_text', 'normal', '--masked_layers_text', 'all', '--subnet_mode_vision', 'both', '--subnet_type_vision', 'None', '--mask_type_vision', 'soft', '--init_mean_vision', '3.0', '--temperature_attn_vision', '1.3', '--temperature_mlp_vision', '1.3', '--backward_type_vision', 'normal', '--masked_layers_vision', 'all', '--subnet_type_connector', 'global', '--mask_type_connector', 'soft', '--init_mean_connector', '3.0', '--temperature_connector', '1.3', '--backward_type_connector', 'normal', '--mm_projector_lr', '2e-1', '--seed', '42', '--mask_model', 'llm-connector', '--save_strategy', 'steps', '--save_steps', '50000', '--save_total_limit', '1', '--train_data_ratio', '0.1']
+[2025-10-12 15:49:52,025] [INFO] [launch.py:253:main] process 445255 spawned with command: ['/opt/conda/envs/tinyllava/bin/python3.10', '-u', 'tinyllava/train/train.py', '--local_rank=6', '--deepspeed', './scripts/zero3.json', '--data_path', '/s3-code/ywang29/datasets/tinyllava/text_files/llava_v1_5_mix665k.json', '--image_folder', '/s3-code/ywang29/datasets/tinyllava', '--is_multimodal', 'True', '--conv_version', 'qwen2_base', '--model_name_or_path', 'Qwen/Qwen2.5-0.5B', '--vision_tower', 'google/siglip-so400m-patch14-384', '--vision_tower2', '', '--connector_type', 'mlp2x_gelu', '--mm_vision_select_layer', '-2', '--image_aspect_ratio', 'square', '--attn_implementation', 'flash_attention_2', '--bf16', 'True', '--training_recipe', 'common', '--tune_type_llm', 'full', '--tune_type_vision_tower', 'frozen', '--tune_vision_tower_from_layer', '0', '--tune_type_connector', 'full', '--group_by_modality_length', 'True', '--pretrained_model_path', '/nfs/ywang29/TinyLLaVA/checkpoints/tiny-llava-Qwen2.5-0.5B-siglip-so400m-patch14-384-pretrain', '--output_dir', '/nfs/ywang29/TinyLLaVA/checkpoints/qwen2.5-0_5b_base_masktune_42_llm-connector_text-3.0_1.3_2e-1_connector-3.0_1.3_2e-1_ablation', '--num_train_epochs', '1', '--per_device_train_batch_size', '4', '--per_device_eval_batch_size', '4', '--gradient_accumulation_steps', '4', '--evaluation_strategy', 'no', '--learning_rate', '2e-1', '--weight_decay', '0.', '--warmup_ratio', '0.03', '--lr_scheduler_type', 'cosine', '--logging_steps', '1', '--tf32', 'False', '--model_max_length', '2048', '--gradient_checkpointing', 'True', '--dataloader_num_workers', '8', '--lazy_preprocess', 'True', '--report_to', 'tensorboard', '--tokenizer_use_fast', 'False', '--run_name', 'tiny-llava-Qwen2.5-0.5B-siglip-so400m-patch14-384-qwen2.5-0_5b_base-masktune', '--subnet_mode_text', 'both', '--subnet_type_text', 'None', '--mask_type_text', 'soft', '--init_mean_text', '3.0', '--temperature_attn_text', '1.3', '--temperature_mlp_text', '1.3', '--backward_type_text', 'normal', '--masked_layers_text', 'all', '--subnet_mode_vision', 'both', '--subnet_type_vision', 'None', '--mask_type_vision', 'soft', '--init_mean_vision', '3.0', '--temperature_attn_vision', '1.3', '--temperature_mlp_vision', '1.3', '--backward_type_vision', 'normal', '--masked_layers_vision', 'all', '--subnet_type_connector', 'global', '--mask_type_connector', 'soft', '--init_mean_connector', '3.0', '--temperature_connector', '1.3', '--backward_type_connector', 'normal', '--mm_projector_lr', '2e-1', '--seed', '42', '--mask_model', 'llm-connector', '--save_strategy', 'steps', '--save_steps', '50000', '--save_total_limit', '1', '--train_data_ratio', '0.1']
+[2025-10-12 15:49:52,027] [INFO] [launch.py:253:main] process 445256 spawned with command: ['/opt/conda/envs/tinyllava/bin/python3.10', '-u', 'tinyllava/train/train.py', '--local_rank=7', '--deepspeed', './scripts/zero3.json', '--data_path', '/s3-code/ywang29/datasets/tinyllava/text_files/llava_v1_5_mix665k.json', '--image_folder', '/s3-code/ywang29/datasets/tinyllava', '--is_multimodal', 'True', '--conv_version', 'qwen2_base', '--model_name_or_path', 'Qwen/Qwen2.5-0.5B', '--vision_tower', 'google/siglip-so400m-patch14-384', '--vision_tower2', '', '--connector_type', 'mlp2x_gelu', '--mm_vision_select_layer', '-2', '--image_aspect_ratio', 'square', '--attn_implementation', 'flash_attention_2', '--bf16', 'True', '--training_recipe', 'common', '--tune_type_llm', 'full', '--tune_type_vision_tower', 'frozen', '--tune_vision_tower_from_layer', '0', '--tune_type_connector', 'full', '--group_by_modality_length', 'True', '--pretrained_model_path', '/nfs/ywang29/TinyLLaVA/checkpoints/tiny-llava-Qwen2.5-0.5B-siglip-so400m-patch14-384-pretrain', '--output_dir', '/nfs/ywang29/TinyLLaVA/checkpoints/qwen2.5-0_5b_base_masktune_42_llm-connector_text-3.0_1.3_2e-1_connector-3.0_1.3_2e-1_ablation', '--num_train_epochs', '1', '--per_device_train_batch_size', '4', '--per_device_eval_batch_size', '4', '--gradient_accumulation_steps', '4', '--evaluation_strategy', 'no', '--learning_rate', '2e-1', '--weight_decay', '0.', '--warmup_ratio', '0.03', '--lr_scheduler_type', 'cosine', '--logging_steps', '1', '--tf32', 'False', '--model_max_length', '2048', '--gradient_checkpointing', 'True', '--dataloader_num_workers', '8', '--lazy_preprocess', 'True', '--report_to', 'tensorboard', '--tokenizer_use_fast', 'False', '--run_name', 'tiny-llava-Qwen2.5-0.5B-siglip-so400m-patch14-384-qwen2.5-0_5b_base-masktune', '--subnet_mode_text', 'both', '--subnet_type_text', 'None', '--mask_type_text', 'soft', '--init_mean_text', '3.0', '--temperature_attn_text', '1.3', '--temperature_mlp_text', '1.3', '--backward_type_text', 'normal', '--masked_layers_text', 'all', '--subnet_mode_vision', 'both', '--subnet_type_vision', 'None', '--mask_type_vision', 'soft', '--init_mean_vision', '3.0', '--temperature_attn_vision', '1.3', '--temperature_mlp_vision', '1.3', '--backward_type_vision', 'normal', '--masked_layers_vision', 'all', '--subnet_type_connector', 'global', '--mask_type_connector', 'soft', '--init_mean_connector', '3.0', '--temperature_connector', '1.3', '--backward_type_connector', 'normal', '--mm_projector_lr', '2e-1', '--seed', '42', '--mask_model', 'llm-connector', '--save_strategy', 'steps', '--save_steps', '50000', '--save_total_limit', '1', '--train_data_ratio', '0.1']
+/opt/conda/envs/tinyllava/lib/python3.10/site-packages/torch/cuda/__init__.py:51: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
+  import pynvml  # type: ignore[import]
+/opt/conda/envs/tinyllava/lib/python3.10/site-packages/torch/cuda/__init__.py:51: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
+  import pynvml  # type: ignore[import]
+/opt/conda/envs/tinyllava/lib/python3.10/site-packages/torch/cuda/__init__.py:51: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
+  import pynvml  # type: ignore[import]
+/opt/conda/envs/tinyllava/lib/python3.10/site-packages/torch/cuda/__init__.py:51: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
+  import pynvml  # type: ignore[import]
+/opt/conda/envs/tinyllava/lib/python3.10/site-packages/torch/cuda/__init__.py:51: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
+  import pynvml  # type: ignore[import]
+/opt/conda/envs/tinyllava/lib/python3.10/site-packages/torch/cuda/__init__.py:51: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
+  import pynvml  # type: ignore[import]
+/opt/conda/envs/tinyllava/lib/python3.10/site-packages/torch/cuda/__init__.py:51: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
+  import pynvml  # type: ignore[import]
+/opt/conda/envs/tinyllava/lib/python3.10/site-packages/torch/cuda/__init__.py:51: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
+  import pynvml  # type: ignore[import]
+[2025-10-12 15:49:58,674] [INFO] [real_accelerator.py:191:get_accelerator] Setting ds_accelerator to cuda (auto detect)
+[2025-10-12 15:49:58,716] [INFO] [real_accelerator.py:191:get_accelerator] Setting ds_accelerator to cuda (auto detect)
+[2025-10-12 15:49:58,770] [INFO] [real_accelerator.py:191:get_accelerator] Setting ds_accelerator to cuda (auto detect)
+[2025-10-12 15:49:58,770] [INFO] [real_accelerator.py:191:get_accelerator] Setting ds_accelerator to cuda (auto detect)
+[2025-10-12 15:49:58,780] [INFO] [real_accelerator.py:191:get_accelerator] Setting ds_accelerator to cuda (auto detect)
+[2025-10-12 15:49:58,780] [INFO] [real_accelerator.py:191:get_accelerator] Setting ds_accelerator to cuda (auto detect)
+[2025-10-12 15:49:58,785] [INFO] [real_accelerator.py:191:get_accelerator] Setting ds_accelerator to cuda (auto detect)
+[2025-10-12 15:49:58,787] [INFO] [real_accelerator.py:191:get_accelerator] Setting ds_accelerator to cuda (auto detect)
+[2025-10-12 15:49:59,093] [INFO] [comm.py:637:init_distributed] cdb=None
+[2025-10-12 15:49:59,093] [INFO] [comm.py:668:init_distributed] Initializing TorchBackend in DeepSpeed with backend nccl
+[2025-10-12 15:49:59,124] [INFO] [comm.py:637:init_distributed] cdb=None
+[2025-10-12 15:49:59,171] [INFO] [comm.py:637:init_distributed] cdb=None
+[2025-10-12 15:49:59,173] [INFO] [comm.py:637:init_distributed] cdb=None
+[2025-10-12 15:49:59,182] [INFO] [comm.py:637:init_distributed] cdb=None
+[2025-10-12 15:49:59,185] [INFO] [comm.py:637:init_distributed] cdb=None
+[2025-10-12 15:49:59,189] [INFO] [comm.py:637:init_distributed] cdb=None
+[2025-10-12 15:49:59,190] [INFO] [comm.py:637:init_distributed] cdb=None
+Apply masks for the following modules:  ['llm', 'connector']
+{'llm': {'model_name_or_path': 'Qwen/Qwen2.5-0.5B', 'cache_dir': None, 'attn_implementation': 'flash_attention_2', 'subnet_mode': 'both', 'subnet_type': 'None', 'sparsity_attn': None, 'sparsity_mlp': None, 'threshold_attn': None, 'threshold_mlp': None, 'temperature_attn': 1.3, 'temperature_mlp': 1.3, 'masked_layers': 'all', 'mask_type': 'soft', 'backward_type': 'normal'}, 'vision_tower': {'model_name_or_path': 'google/siglip-so400m-patch14-384'}, 'connector': {'connector_type': 'mlp2x_gelu', 'subnet_type': 'global', 'threshold': None, 'sparsity': None, 'temperature': 1.3, 'mask_type': 'soft', 'backward_type': 'normal'}}
+/opt/conda/envs/tinyllava/lib/python3.10/site-packages/huggingface_hub/file_download.py:945: FutureWarning: `resume_download` is deprecated and will be removed in version 1.0.0. Downloads always resume when possible. If you want to force a new download, use `force_download=True`.
+  warnings.warn(
+Apply masks for the following modules:  ['llm', 'connector']
+/opt/conda/envs/tinyllava/lib/python3.10/site-packages/huggingface_hub/file_download.py:945: FutureWarning: `resume_download` is deprecated and will be removed in version 1.0.0. Downloads always resume when possible. If you want to force a new download, use `force_download=True`.
+  warnings.warn(
+Apply masks for the following modules:  ['llm', 'connector']
+Apply masks for the following modules:  ['llm', 'connector']
+/opt/conda/envs/tinyllava/lib/python3.10/site-packages/huggingface_hub/file_download.py:945: FutureWarning: `resume_download` is deprecated and will be removed in version 1.0.0. Downloads always resume when possible. If you want to force a new download, use `force_download=True`.
+  warnings.warn(
+/opt/conda/envs/tinyllava/lib/python3.10/site-packages/huggingface_hub/file_download.py:945: FutureWarning: `resume_download` is deprecated and will be removed in version 1.0.0. Downloads always resume when possible. If you want to force a new download, use `force_download=True`.
+  warnings.warn(
+Apply masks for the following modules:  ['llm', 'connector']
+/opt/conda/envs/tinyllava/lib/python3.10/site-packages/huggingface_hub/file_download.py:945: FutureWarning: `resume_download` is deprecated and will be removed in version 1.0.0. Downloads always resume when possible. If you want to force a new download, use `force_download=True`.
+  warnings.warn(
+Apply masks for the following modules:  ['llm', 'connector']
+Apply masks for the following modules:  ['llm', 'connector']
+/opt/conda/envs/tinyllava/lib/python3.10/site-packages/huggingface_hub/file_download.py:945: FutureWarning: `resume_download` is deprecated and will be removed in version 1.0.0. Downloads always resume when possible. If you want to force a new download, use `force_download=True`.
+  warnings.warn(
+/opt/conda/envs/tinyllava/lib/python3.10/site-packages/huggingface_hub/file_download.py:945: FutureWarning: `resume_download` is deprecated and will be removed in version 1.0.0. Downloads always resume when possible. If you want to force a new download, use `force_download=True`.
+  warnings.warn(
+Apply masks for the following modules:  ['llm', 'connector']
+/opt/conda/envs/tinyllava/lib/python3.10/site-packages/huggingface_hub/file_download.py:945: FutureWarning: `resume_download` is deprecated and will be removed in version 1.0.0. Downloads always resume when possible. If you want to force a new download, use `force_download=True`.
+  warnings.warn(
+TinyLlavaConfig {
+  "backward_type_connector": "normal",
+  "cache_dir": null,
+  "connector_type": "mlp2x_gelu",
+  "hidden_size": 896,
+  "ignore_index": -100,
+  "image_aspect_ratio": "square",
+  "image_token_index": -200,
+  "llm_model_name_or_path": "Qwen/Qwen2.5-0.5B",
+  "mask_model": [
+    "llm",
+    "connector"
+  ],
+  "mask_type_connector": "soft",
+  "model_type": "tinyllava",
+  "num_queries": 128,
+  "num_resampler_layers": 3,
+  "pad_token": null,
+  "resampler_hidden_size": 768,
+  "sparsity_connector": null,
+  "subnet_type_connector": "global",
+  "temperature_connector": 1.3,
+  "text_config": {
+    "_name_or_path": "Qwen/Qwen2.5-0.5B",
+    "architectures": [
+      "Qwen2ForCausalLM"
+    ],
+    "backward_type": "normal",
+    "bos_token_id": 151643,
+    "eos_token_id": 151643,
+    "hidden_size": 896,
+    "intermediate_size": 4864,
+    "mask_type": "soft",
+    "masked_layers": "all",
+    "max_position_embeddings": 32768,
+    "max_window_layers": 24,
+    "model_type": "qwen2",
+    "num_attention_heads": 14,
+    "num_hidden_layers": 24,
+    "num_key_value_heads": 2,
+    "rope_theta": 1000000.0,
+    "sliding_window": 32768,
+    "subnet_mode": "both",
+    "subnet_type": "None",
+    "temperature_attn": 1.3,
+    "temperature_mlp": 1.3,
+    "tie_word_embeddings": true,
+    "torch_dtype": "bfloat16",
+    "use_mrope": false,
+    "use_sliding_window": false,
+    "vocab_size": 151936
+  },
+  "threshold_connector": null,
+  "tokenizer_model_max_length": 2048,
+  "tokenizer_name_or_path": "Qwen/Qwen2.5-0.5B",
+  "tokenizer_padding_side": "right",
+  "tokenizer_use_fast": false,
+  "transformers_version": "4.40.1",
+  "tune_type_connector": "frozen",
+  "tune_type_llm": "frozen",
+  "tune_type_vision_tower": "frozen",
+  "tune_vision_tower_from_layer": -1,
+  "use_cache": false,
+  "vision_config": {
+    "hidden_act": "gelu_pytorch_tanh",
+    "hidden_size": 1152,
+    "image_size": 384,
+    "intermediate_size": 4304,
+    "layer_norm_eps": 1e-06,
+    "model_name_or_path": "google/siglip-so400m-patch14-384",
+    "model_name_or_path2": "",
+    "model_type": "siglip_vision_model",
+    "num_attention_heads": 16,
+    "num_hidden_layers": 27,
+    "patch_size": 14
+  },
+  "vision_feature_layer": -2,
+  "vision_feature_select_strategy": "patch",
+  "vision_hidden_size": 1152,
+  "vision_model_name_or_path": "google/siglip-so400m-patch14-384",
+  "vision_model_name_or_path2": "",
+  "vocab_size": 151936
+}
+