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funtune with lora error #17

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BadUncleBoy opened this issue Jan 17, 2024 · 8 comments
Open

funtune with lora error #17

BadUncleBoy opened this issue Jan 17, 2024 · 8 comments

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@BadUncleBoy
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I meets the errors when funtune using loar.
ValueError: Target module LlamaDecoderLayer(
(self_attn): LlamaAttention(
(q_proj): Linear(in_features=2048, out_features=2048, bias=False)
(k_proj): Linear(in_features=2048, out_features=2048, bias=False)
(v_proj): Linear(in_features=2048, out_features=2048, bias=False)
(o_proj): Linear(in_features=2048, out_features=2048, bias=False)
(rotary_emb): LlamaRotaryEmbedding()
)
(mlp): LlamaMLP(
(gate_proj): Linear(in_features=2048, out_features=5632, bias=False)
(up_proj): Linear(in_features=2048, out_features=5632, bias=False)
(down_proj): Linear(in_features=5632, out_features=2048, bias=False)
(act_fn): SiLUActivation()
)
(input_layernorm): LlamaRMSNorm()
(post_attention_layernorm): LlamaRMSNorm()
) is not supported. Currently, only torch.nn.Linear and Conv1D are supported.
@er-muyue
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Have you made any modifications to the original released code? If so, please provide more information about what you modified. If not, please give your startup command like here. Thanks.

@Dylan-LDR
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I meets the errors when funtune using loar. ValueError: Target module LlamaDecoderLayer( (self_attn): LlamaAttention( (q_proj): Linear(in_features=2048, out_features=2048, bias=False) (k_proj): Linear(in_features=2048, out_features=2048, bias=False) (v_proj): Linear(in_features=2048, out_features=2048, bias=False) (o_proj): Linear(in_features=2048, out_features=2048, bias=False) (rotary_emb): LlamaRotaryEmbedding() ) (mlp): LlamaMLP( (gate_proj): Linear(in_features=2048, out_features=5632, bias=False) (up_proj): Linear(in_features=2048, out_features=5632, bias=False) (down_proj): Linear(in_features=5632, out_features=2048, bias=False) (act_fn): SiLUActivation() ) (input_layernorm): LlamaRMSNorm() (post_attention_layernorm): LlamaRMSNorm() ) is not supported. Currently, only torch.nn.Linear and Conv1D are supported.

I met the same problem. The command is not modified from the case "finetune.lora" in run.sh.

@sxu1997
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sxu1997 commented Feb 23, 2024

I meets the errors when funtune using loar. ValueError: Target module LlamaDecoderLayer( (self_attn): LlamaAttention( (q_proj): Linear(in_features=2048, out_features=2048, bias=False) (k_proj): Linear(in_features=2048, out_features=2048, bias=False) (v_proj): Linear(in_features=2048, out_features=2048, bias=False) (o_proj): Linear(in_features=2048, out_features=2048, bias=False) (rotary_emb): LlamaRotaryEmbedding() ) (mlp): LlamaMLP( (gate_proj): Linear(in_features=2048, out_features=5632, bias=False) (up_proj): Linear(in_features=2048, out_features=5632, bias=False) (down_proj): Linear(in_features=5632, out_features=2048, bias=False) (act_fn): SiLUActivation() ) (input_layernorm): LlamaRMSNorm() (post_attention_layernorm): LlamaRMSNorm() ) is not supported. Currently, only torch.nn.Linear and Conv1D are supported.

Could you provide more information about this error, context logs for example.

@QvQKing
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QvQKing commented Feb 27, 2024

Traceback (most recent call last):
File "/hy-tmp/MobileVLM-main/mobilevlm/train/train_mem.py", line 13, in
train()
File "/hy-tmp/MobileVLM-main/mobilevlm/train/train.py", line 807, in train
model = get_peft_model(model, lora_config)
File "/usr/local/miniconda3/envs/mobilevlm/lib/python3.10/site-packages/peft/mapping.py", line 98, in get_peft_model
return MODEL_TYPE_TO_PEFT_MODEL_MAPPING[peft_config.task_type](model, peft_config, adapter_name=adapter_name)
File "/usr/local/miniconda3/envs/mobilevlm/lib/python3.10/site-packages/peft/peft_model.py", line 893, in init
super().init(model, peft_config, adapter_name)
File "/usr/local/miniconda3/envs/mobilevlm/lib/python3.10/site-packages/peft/peft_model.py", line 112, in init
self.base_model = PEFT_TYPE_TO_MODEL_MAPPING[peft_config.peft_type](
File "/usr/local/miniconda3/envs/mobilevlm/lib/python3.10/site-packages/peft/tuners/lora.py", line 180, in init
self.add_adapter(adapter_name, self.peft_config[adapter_name])
File "/usr/local/miniconda3/envs/mobilevlm/lib/python3.10/site-packages/peft/tuners/lora.py", line 194, in add_adapter
self._find_and_replace(adapter_name)
File "/usr/local/miniconda3/envs/mobilevlm/lib/python3.10/site-packages/peft/tuners/lora.py", line 352, in _find_and_replace
new_module = self._create_new_module(lora_config, adapter_name, target)
File "/usr/local/miniconda3/envs/mobilevlm/lib/python3.10/site-packages/peft/tuners/lora.py", line 305, in _create_new_module
raise ValueError(
ValueError: Target module LlamaDecoderLayer(
(self_attn): LlamaAttention(
(q_proj): Linear(in_features=2048, out_features=2048, bias=False)
(k_proj): Linear(in_features=2048, out_features=2048, bias=False)
(v_proj): Linear(in_features=2048, out_features=2048, bias=False)
(o_proj): Linear(in_features=2048, out_features=2048, bias=False)
(rotary_emb): LlamaRotaryEmbedding()
)
(mlp): LlamaMLP(
(gate_proj): Linear(in_features=2048, out_features=5632, bias=False)
(up_proj): Linear(in_features=2048, out_features=5632, bias=False)
(down_proj): Linear(in_features=5632, out_features=2048, bias=False)
(act_fn): SiLUActivation()
)
(input_layernorm): LlamaRMSNorm()
(post_attention_layernorm): LlamaRMSNorm()
) is not supported. Currently, only torch.nn.Linear and Conv1D are supported.
[2024-02-27 04:18:03,745] [INFO] [launch.py:315:sigkill_handler] Killing subprocess 7582
[2024-02-27 04:18:03,746] [ERROR] [launch.py:321:sigkill_handler] ['/usr/local/miniconda3/envs/mobilevlm/bin/python', '-u', 'mobilevlm/train/train_mem.py', '--local_rank=0', '--deepspeed', 'scripts/deepspeed/zero2.json', '--lora_enable', 'True', '--lora_r', '128', '--lora_alpha', '256', '--learning_rate', '2e-4', '--model_name_or_path', './mtgv/MobileVLM_V2-1.7B', '--version', 'v1', '--data_path', 'data/eccv_train.json', '--image_folder', 'data/eccv_train', '--vision_tower', './mtgv/clip-vit-large-patch14-336', '--vision_tower_type', 'clip', '--pretrain_mm_mlp_adapter', './finetune-results/mobilevlm-1.pretrain/mm_projector.bin', '--mm_projector_type', 'ldpnet', '--mm_vision_select_layer', '-2', '--mm_use_im_start_end', 'False', '--mm_use_im_patch_token', 'False', '--image_aspect_ratio', 'pad', '--group_by_modality_length', 'True', '--bf16', 'True', '--output_dir', './finetune-results/mobilevlm-2.finetune-lora', '--num_train_epochs', '1', '--per_device_train_batch_size', '16', '--per_device_eval_batch_size', '4', '--gradient_accumulation_steps', '1', '--evaluation_strategy', 'no', '--save_strategy', 'steps', '--save_steps', '50000', '--save_total_limit', '1', '--weight_decay', '0.', '--warmup_ratio', '0.03', '--lr_scheduler_type', 'cosine', '--logging_steps', '1', '--tf32', 'True', '--model_max_length', '2048', '--gradient_checkpointing', 'True', '--dataloader_num_workers', '4', '--lazy_preprocess', 'True', '--report_to', 'none'] exits with return code = 1
[2024-02-27 04:18:07,883] [INFO] [real_accelerator.py:110:get_accelerator] Setting ds_accelerator to cuda (auto detect)
Traceback (most recent call last):
File "/hy-tmp/MobileVLM-main/scripts/mergelora.py", line 51, in
merge_lora(sys.argv[1], sys.argv[2], sys.argv[3])
File "/hy-tmp/MobileVLM-main/scripts/mergelora.py", line 16, in merge_lora
lora_cfg_pretrained = AutoConfig.from_pretrained(model_path)
File "/usr/local/miniconda3/envs/mobilevlm/lib/python3.10/site-packages/transformers/models/auto/configuration_auto.py", line 1023, in from_pretrained
config_dict, unused_kwargs = PretrainedConfig.get_config_dict(pretrained_model_name_or_path, **kwargs)
File "/usr/local/miniconda3/envs/mobilevlm/lib/python3.10/site-packages/transformers/configuration_utils.py", line 620, in get_config_dict
config_dict, kwargs = cls._get_config_dict(pretrained_model_name_or_path, **kwargs)
File "/usr/local/miniconda3/envs/mobilevlm/lib/python3.10/site-packages/transformers/configuration_utils.py", line 675, in _get_config_dict
resolved_config_file = cached_file(
File "/usr/local/miniconda3/envs/mobilevlm/lib/python3.10/site-packages/transformers/utils/hub.py", line 400, in cached_file
raise EnvironmentError(
OSError: ./finetune-results/mobilevlm-2.finetune-lora does not appear to have a file named config.json. Checkout 'https://huggingface.co/./finetune-results/mobilevlm-2.finetune-lora/None' for available files.
Done.
This is my problem.

@sxu1997
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Collaborator

sxu1997 commented Feb 29, 2024

Traceback (most recent call last): File "/hy-tmp/MobileVLM-main/mobilevlm/train/train_mem.py", line 13, in train() File "/hy-tmp/MobileVLM-main/mobilevlm/train/train.py", line 807, in train model = get_peft_model(model, lora_config) File "/usr/local/miniconda3/envs/mobilevlm/lib/python3.10/site-packages/peft/mapping.py", line 98, in get_peft_model return MODEL_TYPE_TO_PEFT_MODEL_MAPPING[peft_config.task_type](model, peft_config, adapter_name=adapter_name) File "/usr/local/miniconda3/envs/mobilevlm/lib/python3.10/site-packages/peft/peft_model.py", line 893, in init super().init(model, peft_config, adapter_name) File "/usr/local/miniconda3/envs/mobilevlm/lib/python3.10/site-packages/peft/peft_model.py", line 112, in init self.base_model = PEFT_TYPE_TO_MODEL_MAPPING[peft_config.peft_type]( File "/usr/local/miniconda3/envs/mobilevlm/lib/python3.10/site-packages/peft/tuners/lora.py", line 180, in init self.add_adapter(adapter_name, self.peft_config[adapter_name]) File "/usr/local/miniconda3/envs/mobilevlm/lib/python3.10/site-packages/peft/tuners/lora.py", line 194, in add_adapter self._find_and_replace(adapter_name) File "/usr/local/miniconda3/envs/mobilevlm/lib/python3.10/site-packages/peft/tuners/lora.py", line 352, in _find_and_replace new_module = self._create_new_module(lora_config, adapter_name, target) File "/usr/local/miniconda3/envs/mobilevlm/lib/python3.10/site-packages/peft/tuners/lora.py", line 305, in _create_new_module raise ValueError( ValueError: Target module LlamaDecoderLayer( (self_attn): LlamaAttention( (q_proj): Linear(in_features=2048, out_features=2048, bias=False) (k_proj): Linear(in_features=2048, out_features=2048, bias=False) (v_proj): Linear(in_features=2048, out_features=2048, bias=False) (o_proj): Linear(in_features=2048, out_features=2048, bias=False) (rotary_emb): LlamaRotaryEmbedding() ) (mlp): LlamaMLP( (gate_proj): Linear(in_features=2048, out_features=5632, bias=False) (up_proj): Linear(in_features=2048, out_features=5632, bias=False) (down_proj): Linear(in_features=5632, out_features=2048, bias=False) (act_fn): SiLUActivation() ) (input_layernorm): LlamaRMSNorm() (post_attention_layernorm): LlamaRMSNorm() ) is not supported. Currently, only torch.nn.Linear and Conv1D are supported. [2024-02-27 04:18:03,745] [INFO] [launch.py:315:sigkill_handler] Killing subprocess 7582 [2024-02-27 04:18:03,746] [ERROR] [launch.py:321:sigkill_handler] ['/usr/local/miniconda3/envs/mobilevlm/bin/python', '-u', 'mobilevlm/train/train_mem.py', '--local_rank=0', '--deepspeed', 'scripts/deepspeed/zero2.json', '--lora_enable', 'True', '--lora_r', '128', '--lora_alpha', '256', '--learning_rate', '2e-4', '--model_name_or_path', './mtgv/MobileVLM_V2-1.7B', '--version', 'v1', '--data_path', 'data/eccv_train.json', '--image_folder', 'data/eccv_train', '--vision_tower', './mtgv/clip-vit-large-patch14-336', '--vision_tower_type', 'clip', '--pretrain_mm_mlp_adapter', './finetune-results/mobilevlm-1.pretrain/mm_projector.bin', '--mm_projector_type', 'ldpnet', '--mm_vision_select_layer', '-2', '--mm_use_im_start_end', 'False', '--mm_use_im_patch_token', 'False', '--image_aspect_ratio', 'pad', '--group_by_modality_length', 'True', '--bf16', 'True', '--output_dir', './finetune-results/mobilevlm-2.finetune-lora', '--num_train_epochs', '1', '--per_device_train_batch_size', '16', '--per_device_eval_batch_size', '4', '--gradient_accumulation_steps', '1', '--evaluation_strategy', 'no', '--save_strategy', 'steps', '--save_steps', '50000', '--save_total_limit', '1', '--weight_decay', '0.', '--warmup_ratio', '0.03', '--lr_scheduler_type', 'cosine', '--logging_steps', '1', '--tf32', 'True', '--model_max_length', '2048', '--gradient_checkpointing', 'True', '--dataloader_num_workers', '4', '--lazy_preprocess', 'True', '--report_to', 'none'] exits with return code = 1 [2024-02-27 04:18:07,883] [INFO] [real_accelerator.py:110:get_accelerator] Setting ds_accelerator to cuda (auto detect) Traceback (most recent call last): File "/hy-tmp/MobileVLM-main/scripts/mergelora.py", line 51, in merge_lora(sys.argv[1], sys.argv[2], sys.argv[3]) File "/hy-tmp/MobileVLM-main/scripts/mergelora.py", line 16, in merge_lora lora_cfg_pretrained = AutoConfig.from_pretrained(model_path) File "/usr/local/miniconda3/envs/mobilevlm/lib/python3.10/site-packages/transformers/models/auto/configuration_auto.py", line 1023, in from_pretrained config_dict, unused_kwargs = PretrainedConfig.get_config_dict(pretrained_model_name_or_path, **kwargs) File "/usr/local/miniconda3/envs/mobilevlm/lib/python3.10/site-packages/transformers/configuration_utils.py", line 620, in get_config_dict config_dict, kwargs = cls._get_config_dict(pretrained_model_name_or_path, **kwargs) File "/usr/local/miniconda3/envs/mobilevlm/lib/python3.10/site-packages/transformers/configuration_utils.py", line 675, in _get_config_dict resolved_config_file = cached_file( File "/usr/local/miniconda3/envs/mobilevlm/lib/python3.10/site-packages/transformers/utils/hub.py", line 400, in cached_file raise EnvironmentError( OSError: ./finetune-results/mobilevlm-2.finetune-lora does not appear to have a file named config.json. Checkout 'https://huggingface.co/./finetune-results/mobilevlm-2.finetune-lora/None' for available files. Done. This is my problem.

Have you make sure the consistent deepspeed and transformers version with ours?

@self-discipline-zhu
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I'm having the same problem, using a scenario where I'm using lora to fine-tune training for MobileVLM V2 1.7B

VScode Debug Setting：

{
    "configurations": [
        {
            "name": "Python Debugger: Python File",
            "type": "debugpy",
            "request": "launch",
            "program": "/home/bian/anaconda3/envs/mobilevlm/bin/deepspeed",
            "justMyCode": true,
            "console": "integratedTerminal",
            "args": [
                "mobilevlm/train/train_mem.py",
                "--deepspeed", "scripts/deepspeed/zero3.json",
                "--lora_enable", "True",
                "--lora_r", "128", 
                "--lora_alpha", "256",
                "--learning_rate", "2e-4",
                "--model_name_or_path", "model/MobileVLM_V2-1.7B",
                "--version", "v1",
                "--data_path", "data/finetune_data/filtered_ScienceQA.json",
                "--image_folder", "data/finetune_data",
                "--vision_tower", "model/clip-vit-large-patch14-336",
                "--vision_tower_type", "clip",
                "--mm_projector_type", "ldpnetv2",
                "--mm_vision_select_layer", "-2",
                "--mm_use_im_start_end", "False",
                "--mm_use_im_patch_token", "False",
                "--image_aspect_ratio", "pad",
                "--group_by_modality_length", "True",
                "--bf16", "False", // 
                "--output_dir", "outputs/mobilevlm1.7b/mobilevlm_v2-2.finetune",
                "--num_train_epochs", "1",
                "--per_device_train_batch_size", "1",
                "--per_device_eval_batch_size", "1",
                "--gradient_accumulation_steps", "1",
                "--evaluation_strategy", "no",
                "--save_strategy", "steps",
                "--save_steps", "2000",
                "--save_total_limit", "1",
                "--learning_rate", "4e-5",
                "--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", "4",
                "--lazy_preprocess", "True",
                "--report_to", "none"
            ],
            "env": {
                "PYTHONPATH": "/media/bian/sdb/zzq/MobileVLM"
            }
        }
    ]
}

Dependency version：

_libgcc_mutex             0.1                        main    defaults
_openmp_mutex             5.1                       1_gnu    defaults
accelerate                0.21.0                   pypi_0    pypi
aiofiles                  23.2.1                   pypi_0    pypi
aiohttp                   3.9.3                    pypi_0    pypi
aiosignal                 1.3.1                    pypi_0    pypi
altair                    5.2.0                    pypi_0    pypi
anyio                     4.3.0                    pypi_0    pypi
async-timeout             4.0.3                    pypi_0    pypi
attrs                     23.2.0                   pypi_0    pypi
av                        11.0.0                   pypi_0    pypi
bitsandbytes              0.41.0                   pypi_0    pypi
bzip2                     1.0.8                h5eee18b_5    defaults
ca-certificates           2023.12.12           h06a4308_0    defaults
certifi                   2024.2.2                 pypi_0    pypi
charset-normalizer        3.3.2                    pypi_0    pypi
click                     8.1.7                    pypi_0    pypi
cmake                     3.28.3                   pypi_0    pypi
contourpy                 1.2.0                    pypi_0    pypi
cycler                    0.12.1                   pypi_0    pypi
decord                    0.6.0                    pypi_0    pypi
deepspeed                 0.9.5                    pypi_0    pypi
einops                    0.6.1                    pypi_0    pypi
einops-exts               0.0.4                    pypi_0    pypi
exceptiongroup            1.2.0                    pypi_0    pypi
fairscale                 0.4.13                   pypi_0    pypi
fastapi                   0.103.0                  pypi_0    pypi
ffmpy                     0.3.2                    pypi_0    pypi
filelock                  3.13.1                   pypi_0    pypi
flash-attn                2.3.2                    pypi_0    pypi
fonttools                 4.49.0                   pypi_0    pypi
frozenlist                1.4.1                    pypi_0    pypi
fsspec                    2024.2.0                 pypi_0    pypi
fvcore                    0.1.5.post20221221          pypi_0    pypi
gradio                    3.35.2                   pypi_0    pypi
gradio-client             0.10.0                   pypi_0    pypi
h11                       0.14.0                   pypi_0    pypi
hjson                     3.1.0                    pypi_0    pypi
httpcore                  0.17.3                   pypi_0    pypi
httpx                     0.24.0                   pypi_0    pypi
huggingface-hub           0.21.4                   pypi_0    pypi
idna                      3.6                      pypi_0    pypi
ijson                     3.2.3                    pypi_0    pypi
iopath                    0.1.10                   pypi_0    pypi
jinja2                    3.1.3                    pypi_0    pypi
joblib                    1.3.2                    pypi_0    pypi
jsonschema                4.21.1                   pypi_0    pypi
jsonschema-specifications 2023.12.1                pypi_0    pypi
kiwisolver                1.4.5                    pypi_0    pypi
ld_impl_linux-64          2.38                 h1181459_1    defaults
libffi                    3.4.4                h6a678d5_0    defaults
libgcc-ng                 11.2.0               h1234567_1    defaults
libgomp                   11.2.0               h1234567_1    defaults
libstdcxx-ng              11.2.0               h1234567_1    defaults
libuuid                   1.41.5               h5eee18b_0    defaults
lightning-utilities       0.11.1                   pypi_0    pypi
linkify-it-py             2.0.3                    pypi_0    pypi
lit                       17.0.6                   pypi_0    pypi
markdown-it-py            2.2.0                    pypi_0    pypi
markdown2                 2.4.8                    pypi_0    pypi
markupsafe                2.1.5                    pypi_0    pypi
matplotlib                3.8.3                    pypi_0    pypi
mdit-py-plugins           0.3.3                    pypi_0    pypi
mdurl                     0.1.2                    pypi_0    pypi
mpmath                    1.3.0                    pypi_0    pypi
multidict                 6.0.5                    pypi_0    pypi
ncurses                   6.4                  h6a678d5_0    defaults
networkx                  3.2.1                    pypi_0    pypi
ninja                     1.11.1.1                 pypi_0    pypi
numpy                     1.25.0                   pypi_0    pypi
nvidia-cublas-cu11        11.10.3.66               pypi_0    pypi
nvidia-cuda-cupti-cu11    11.7.101                 pypi_0    pypi
nvidia-cuda-nvrtc-cu11    11.7.99                  pypi_0    pypi
nvidia-cuda-runtime-cu11  11.7.99                  pypi_0    pypi
nvidia-cudnn-cu11         8.5.0.96                 pypi_0    pypi
nvidia-cufft-cu11         10.9.0.58                pypi_0    pypi
nvidia-curand-cu11        10.2.10.91               pypi_0    pypi
nvidia-cusolver-cu11      11.4.0.1                 pypi_0    pypi
nvidia-cusparse-cu11      11.7.4.91                pypi_0    pypi
nvidia-nccl-cu11          2.14.3                   pypi_0    pypi
nvidia-nvtx-cu11          11.7.91                  pypi_0    pypi
openssl                   3.0.13               h7f8727e_0    defaults
orjson                    3.9.15                   pypi_0    pypi
packaging                 24.0                     pypi_0    pypi
pandas                    2.2.1                    pypi_0    pypi
parameterized             0.9.0                    pypi_0    pypi
peft                      0.4.0                    pypi_0    pypi
pillow                    10.2.0                   pypi_0    pypi
pip                       24.0                     pypi_0    pypi
portalocker               2.8.2                    pypi_0    pypi
psutil                    5.9.8                    pypi_0    pypi
py-cpuinfo                9.0.0                    pypi_0    pypi
pydantic                  1.10.13                  pypi_0    pypi
pydub                     0.25.1                   pypi_0    pypi
pygments                  2.17.2                   pypi_0    pypi
pyparsing                 3.1.2                    pypi_0    pypi
python                    3.10.13              h955ad1f_0    defaults
python-dateutil           2.9.0.post0              pypi_0    pypi
python-multipart          0.0.9                    pypi_0    pypi
pytorch-lightning         2.2.1                    pypi_0    pypi
pytorchvideo              0.1.5                    pypi_0    pypi
pytz                      2024.1                   pypi_0    pypi
pyyaml                    6.0.1                    pypi_0    pypi
readline                  8.2                  h5eee18b_0    defaults
referencing               0.33.0                   pypi_0    pypi
regex                     2023.12.25               pypi_0    pypi
requests                  2.28.2                   pypi_0    pypi
rpds-py                   0.18.0                   pypi_0    pypi
safetensors               0.4.2                    pypi_0    pypi
scikit-learn              1.2.2                    pypi_0    pypi
scipy                     1.12.0                   pypi_0    pypi
semantic-version          2.10.0                   pypi_0    pypi
sentencepiece             0.1.99                   pypi_0    pypi
setuptools                68.2.2          py310h06a4308_0    defaults
shortuuid                 1.0.11                   pypi_0    pypi
six                       1.16.0                   pypi_0    pypi
sniffio                   1.3.1                    pypi_0    pypi
sqlite                    3.41.2               h5eee18b_0    defaults
starlette                 0.27.0                   pypi_0    pypi
sympy                     1.12                     pypi_0    pypi
tabulate                  0.9.0                    pypi_0    pypi
termcolor                 2.4.0                    pypi_0    pypi
threadpoolctl             3.3.0                    pypi_0    pypi
timm                      0.9.12                   pypi_0    pypi
tk                        8.6.12               h1ccaba5_0    defaults
tokenizers                0.13.3                   pypi_0    pypi
toolz                     0.12.1                   pypi_0    pypi
torch                     2.0.1                    pypi_0    pypi
torchmetrics              1.3.2                    pypi_0    pypi
torchvision               0.15.2                   pypi_0    pypi
tqdm                      4.66.2                   pypi_0    pypi
transformers              4.33.1                   pypi_0    pypi
triton                    2.0.0                    pypi_0    pypi
typing-extensions         4.10.0                   pypi_0    pypi
tzdata                    2024.1                   pypi_0    pypi
uc-micro-py               1.0.3                    pypi_0    pypi
urllib3                   1.26.18                  pypi_0    pypi
uvicorn                   0.22.0                   pypi_0    pypi
websockets                11.0.3                   pypi_0    pypi
wheel                     0.41.2          py310h06a4308_0    defaults
xz                        5.4.6                h5eee18b_0    defaults
yacs                      0.1.8                    pypi_0    pypi
yarl                      1.9.4                    pypi_0    pypi
zlib                      1.2.13               h5eee18b_0    defaults

Issue logs：

[2024-03-27 15:23:38,536] [INFO] [real_accelerator.py:110:get_accelerator] Setting ds_accelerator to cuda (auto detect)
[2024-03-27 15:23:41,459] [WARNING] [runner.py:196:fetch_hostfile] Unable to find hostfile, will proceed with training with local resources only.
[2024-03-27 15:23:41,460] [INFO] [runner.py:555:main] cmd = /home/bian/anaconda3/envs/mobilevlm/bin/python -u -m deepspeed.launcher.launch --world_info=eyJsb2NhbGhvc3QiOiBbMCwgMV19 --master_addr=127.0.0.1 --master_port=29500 --enable_each_rank_log=None mobilevlm/train/train_mem.py --deepspeed scripts/deepspeed/zero3.json --lora_enable True --lora_r 128 --lora_alpha 256 --learning_rate 2e-4 --model_name_or_path model/MobileVLM_V2-1.7B --version v1 --data_path data/finetune_data/filtered_ScienceQA.json --image_folder data/finetune_data --vision_tower model/clip-vit-large-patch14-336 --video_tower model/clip-vit-large-patch14-336 --vision_tower_type clip --video_tower_type clip --mm_projector_type ldpnet --mm_vision_select_layer -2 --mm_use_im_start_end False --mm_use_im_patch_token False --image_aspect_ratio pad --group_by_modality_length True --bf16 False --output_dir outputs/mobilevlm1.7b/mobilevlm_v2-2.finetune --num_train_epochs 1 --per_device_train_batch_size 1 --per_device_eval_batch_size 1 --gradient_accumulation_steps 1 --evaluation_strategy no --save_strategy steps --save_steps 2000 --save_total_limit 1 --learning_rate 4e-5 --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 4 --lazy_preprocess True --report_to none
[2024-03-27 15:23:43,212] [INFO] [real_accelerator.py:110:get_accelerator] Setting ds_accelerator to cuda (auto detect)
[2024-03-27 15:23:44,956] [INFO] [launch.py:145:main] WORLD INFO DICT: {'localhost': [0, 1]}
[2024-03-27 15:23:44,958] [INFO] [launch.py:151:main] nnodes=1, num_local_procs=2, node_rank=0
[2024-03-27 15:23:44,958] [INFO] [launch.py:162:main] global_rank_mapping=defaultdict(<class 'list'>, {'localhost': [0, 1]})
[2024-03-27 15:23:44,958] [INFO] [launch.py:163:main] dist_world_size=2
[2024-03-27 15:23:44,958] [INFO] [launch.py:165:main] Setting CUDA_VISIBLE_DEVICES=0,1
[2024-03-27 15:23:51,158] [INFO] [real_accelerator.py:110:get_accelerator] Setting ds_accelerator to cuda (auto detect)
/media/bian/sdb/zzq/MobileVLM/mobilevlm/train/llama_flash_attn.py:108: UserWarning: Flash attention is only supported on A100 or H100 GPU during training due to head dim > 64 backward.ref: https://github.com/HazyResearch/flash-attention/issues/190#issuecomment-1523359593
  warnings.warn(
[2024-03-27 15:23:51,859] [INFO] [real_accelerator.py:110:get_accelerator] Setting ds_accelerator to cuda (auto detect)
/media/bian/sdb/zzq/MobileVLM/mobilevlm/train/llama_flash_attn.py:108: UserWarning: Flash attention is only supported on A100 or H100 GPU during training due to head dim > 64 backward.ref: https://github.com/HazyResearch/flash-attention/issues/190#issuecomment-1523359593
  warnings.warn(
[2024-03-27 15:23:52,544] [WARNING] [comm.py:152:init_deepspeed_backend] NCCL backend in DeepSpeed not yet implemented
[2024-03-27 15:23:52,545] [INFO] [comm.py:594:init_distributed] cdb=None
[2024-03-27 15:23:52,545] [INFO] [comm.py:625:init_distributed] Initializing TorchBackend in DeepSpeed with backend nccl
[2024-03-27 15:23:53,269] [WARNING] [comm.py:152:init_deepspeed_backend] NCCL backend in DeepSpeed not yet implemented
[2024-03-27 15:23:53,269] [INFO] [comm.py:594:init_distributed] cdb=None
[2024-03-27 15:23:58,760] [WARNING] [partition_parameters.py:836:_post_init_method] param `class_embedding` in CLIPVisionEmbeddings not on GPU so was not broadcasted from rank 0
[2024-03-27 15:24:00,602] [INFO] [partition_parameters.py:453:__exit__] finished initializing model with 1.68B parameters
Adding LoRA adapters...
Traceback (most recent call last):
  File "/root/.vscode-server/extensions/ms-python.debugpy-2024.2.0-linux-x64/bundled/libs/debugpy/_vendored/pydevd/pydevd.py", line 3489, in <module>
    main()
  File "/root/.vscode-server/extensions/ms-python.debugpy-2024.2.0-linux-x64/bundled/libs/debugpy/_vendored/pydevd/pydevd.py", line 3482, in main
    globals = debugger.run(setup['file'], None, None, is_module)
  File "/root/.vscode-server/extensions/ms-python.debugpy-2024.2.0-linux-x64/bundled/libs/debugpy/_vendored/pydevd/pydevd.py", line 2510, in run
    return self._exec(is_module, entry_point_fn, module_name, file, globals, locals)
  File "/root/.vscode-server/extensions/ms-python.debugpy-2024.2.0-linux-x64/bundled/libs/debugpy/_vendored/pydevd/pydevd.py", line 2517, in _exec
    globals = pydevd_runpy.run_path(file, globals, '__main__')
  File "/root/.vscode-server/extensions/ms-python.debugpy-2024.2.0-linux-x64/bundled/libs/debugpy/_vendored/pydevd/_pydevd_bundle/pydevd_runpy.py", line 321, in run_path
    return _run_module_code(code, init_globals, run_name,
  File "/root/.vscode-server/extensions/ms-python.debugpy-2024.2.0-linux-x64/bundled/libs/debugpy/_vendored/pydevd/_pydevd_bundle/pydevd_runpy.py", line 135, in _run_module_code
    _run_code(code, mod_globals, init_globals,
  File "/root/.vscode-server/extensions/ms-python.debugpy-2024.2.0-linux-x64/bundled/libs/debugpy/_vendored/pydevd/_pydevd_bundle/pydevd_runpy.py", line 124, in _run_code
    exec(code, run_globals)
  File "mobilevlm/train/train_mem.py", line 16, in <module>
    train()
  File "/media/bian/sdb/zzq/MobileVLM/mobilevlm/train/train.py", line 810, in train
    model = get_peft_model(model, lora_config)
  File "/home/bian/anaconda3/envs/mobilevlm/lib/python3.10/site-packages/peft/mapping.py", line 98, in get_peft_model
    return MODEL_TYPE_TO_PEFT_MODEL_MAPPING[peft_config.task_type](model, peft_config, adapter_name=adapter_name)
  File "/home/bian/anaconda3/envs/mobilevlm/lib/python3.10/site-packages/peft/peft_model.py", line 893, in __init__
    super().__init__(model, peft_config, adapter_name)
  File "/home/bian/anaconda3/envs/mobilevlm/lib/python3.10/site-packages/peft/peft_model.py", line 112, in __init__
    self.base_model = PEFT_TYPE_TO_MODEL_MAPPING[peft_config.peft_type](
  File "/home/bian/anaconda3/envs/mobilevlm/lib/python3.10/site-packages/peft/tuners/lora.py", line 180, in __init__
    self.add_adapter(adapter_name, self.peft_config[adapter_name])
  File "/home/bian/anaconda3/envs/mobilevlm/lib/python3.10/site-packages/peft/tuners/lora.py", line 194, in add_adapter
    self._find_and_replace(adapter_name)
  File "/home/bian/anaconda3/envs/mobilevlm/lib/python3.10/site-packages/peft/tuners/lora.py", line 352, in _find_and_replace
    new_module = self._create_new_module(lora_config, adapter_name, target)
  File "/home/bian/anaconda3/envs/mobilevlm/lib/python3.10/site-packages/peft/tuners/lora.py", line 305, in _create_new_module
    raise ValueError(
ValueError: Target module LlamaDecoderLayer(
  (self_attn): LlamaAttention(
    (q_proj): Linear(in_features=2048, out_features=2048, bias=False)
    (k_proj): Linear(in_features=2048, out_features=2048, bias=False)
    (v_proj): Linear(in_features=2048, out_features=2048, bias=False)
    (o_proj): Linear(in_features=2048, out_features=2048, bias=False)
    (rotary_emb): LlamaRotaryEmbedding()
  )
  (mlp): LlamaMLP(
    (gate_proj): Linear(in_features=2048, out_features=5632, bias=False)
    (up_proj): Linear(in_features=2048, out_features=5632, bias=False)
    (down_proj): Linear(in_features=5632, out_features=2048, bias=False)
    (act_fn): SiLUActivation()
  )
  (input_layernorm): LlamaRMSNorm()
  (post_attention_layernorm): LlamaRMSNorm()
) is not supported. Currently, only `torch.nn.Linear` and `Conv1D` are supported.
[2024-03-27 15:24:29,011] [INFO] [launch.py:315:sigkill_handler] Killing subprocess 3033390
[2024-03-27 15:24:29,287] [INFO] [launch.py:315:sigkill_handler] Killing subprocess 3033391
[2024-03-27 15:24:29,288] [ERROR] [launch.py:321:sigkill_handler] ['/home/bian/anaconda3/envs/mobilevlm/bin/python', '-u', 'mobilevlm/train/train_mem.py', '--local_rank=1', '--deepspeed', 'scripts/deepspeed/zero3.json', '--lora_enable', 'True', '--lora_r', '128', '--lora_alpha', '256', '--learning_rate', '2e-4', '--model_name_or_path', 'model/MobileVLM_V2-1.7B', '--version', 'v1', '--data_path', 'data/finetune_data/filtered_ScienceQA.json', '--image_folder', 'data/finetune_data', '--vision_tower', 'model/clip-vit-large-patch14-336', '--video_tower', 'model/clip-vit-large-patch14-336', '--vision_tower_type', 'clip', '--video_tower_type', 'clip', '--mm_projector_type', 'ldpnet', '--mm_vision_select_layer', '-2', '--mm_use_im_start_end', 'False', '--mm_use_im_patch_token', 'False', '--image_aspect_ratio', 'pad', '--group_by_modality_length', 'True', '--bf16', 'False', '--output_dir', 'outputs/mobilevlm1.7b/mobilevlm_v2-2.finetune', '--num_train_epochs', '1', '--per_device_train_batch_size', '1', '--per_device_eval_batch_size', '1', '--gradient_accumulation_steps', '1', '--evaluation_strategy', 'no', '--save_strategy', 'steps', '--save_steps', '2000', '--save_total_limit', '1', '--learning_rate', '4e-5', '--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', '4', '--lazy_preprocess', 'True', '--report_to', 'none'] exits with return code = 1

@sxu1997
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sxu1997 commented Apr 15, 2024 •
edited
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please refer commit 688fdec and you can start like:

bash run_v1.sh mobilevlm3b finetune.lora ${LANGUAGE_MODEL} ${VISION_MODEL} ${OUTPUT_DIR}
bash run_v1.sh mobilevlm3b test ${OUTPUT_DIR}/mobilevlm-2.finetune

@wuwu-C
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wuwu-C commented May 14, 2024

where can I download mm_projector
--pretrain_mm_mlp_adapter ${OUTPUT_DIR_PT}/mm_projector.bin \

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@BadUncleBoy @Dylan-LDR @QvQKing @sxu1997 @self-discipline-zhu @er-muyue @wuwu-C