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Jun-jie-Huang / CoCLR

MIT License
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No such file or directory: './model/search_codebert_switch/checkpoint-best-mrr/pytorch_model.bin' #2

Closed skye95git closed 3 years ago

skye95git commented 3 years ago

Hi, I want to try the CoCLR on Code Search. When I run Step 2: training and evaluating, there is an error:

捕获

What should I do? Do I need to create my own folder path ./model/search_codebert_switch? Is the model pytorch_model.bin generated by itself, or does it need to be stored in the folder in advance?

Jun-jie-Huang commented 3 years ago

I guess there's an error during your training step so that the scripts doesn't save the checkpoint. Do you have the logs when you run training step?

skye95git commented 3 years ago

Do you means search-train-codebert-coclr-switch.log? That's all:

/home/linjiayi/anaconda3/envs/Deepcs/lib/python3.6/site-packages/tensorflow/python/framework/dtypes.py:458: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'. _np_qint8 = np.dtype([("qint8", np.int8, 1)]) /home/linjiayi/anaconda3/envs/Deepcs/lib/python3.6/site-packages/tensorflow/python/framework/dtypes.py:459: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'. _np_quint8 = np.dtype([("quint8", np.uint8, 1)]) /home/linjiayi/anaconda3/envs/Deepcs/lib/python3.6/site-packages/tensorflow/python/framework/dtypes.py:460: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'. _np_qint16 = np.dtype([("qint16", np.int16, 1)]) /home/linjiayi/anaconda3/envs/Deepcs/lib/python3.6/site-packages/tensorflow/python/framework/dtypes.py:461: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'. _np_quint16 = np.dtype([("quint16", np.uint16, 1)]) /home/linjiayi/anaconda3/envs/Deepcs/lib/python3.6/site-packages/tensorflow/python/framework/dtypes.py:462: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'. _np_qint32 = np.dtype([("qint32", np.int32, 1)]) /home/linjiayi/anaconda3/envs/Deepcs/lib/python3.6/site-packages/tensorflow/python/framework/dtypes.py:465: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'. np_resource = np.dtype([("resource", np.ubyte, 1)]) 08/25/2021 19:09:25 - WARNING - main - Process rank: -1, device: cuda, n_gpu: 1, distributed training: False, 16-bits training: False 08/25/2021 19:09:26 - INFO - filelock - Lock 140008118539600 acquired on /home/linjiayi/.cache/torch/transformers/1b62771d5f5169b34713b0af1ab85d80e11f7b1812fbf3ee7d03a866c5f58e72.06eb31f0a63f4e8a136733ccac422f0abf9ffa87c3e61104b57e7075a704d008.lock 08/25/2021 19:09:26 - INFO - transformers.file_utils - https://s3.amazonaws.com/models.huggingface.co/bert/microsoft/codebert-base/config.json not found in cache or forcedownload set to True, downloading to /home/linjiayi/.cache/torch/transformers/tmp692klrz

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08/25/2021 19:09:27 - INFO - transformers.tokenization_utils - Model name 'microsoft/codebert-base' not found in model shortcut name list (roberta-base, roberta-large, roberta-large-mnli, distilroberta-base, roberta-base-openai-detector, roberta-large-openai-detector). Assuming 'microsoft/codebert-base' is a path, a model identifier, or url to a directory containing tokenizer files. 08/25/2021 19:09:29 - INFO - filelock - Lock 140008025422200 acquired on /home/linjiayi/.cache/torch/transformers/779a2f0c38ba2ff65d9a3ee23e58db9568f44a20865c412365e3dc540f01743f.70bec105b4158ed9a1747fea67a43f5dee97855c64d62b6ec3742f4cfdb5feda.lock 08/25/2021 19:09:29 - INFO - transformers.file_utils - https://s3.amazonaws.com/models.huggingface.co/bert/microsoft/codebert-base/merges.txt not found in cache or force_download set to True, downloading to /home/linjiayi/.cache/torch/transformers/tmp77dmtibx

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/home/linjiayi/.cache/torch/transformers/3416309b564f60f87c1bc2ce8d8a82bb7c1e825b241c816482f750b48a5cdc26.96251fe4478bac0cff9de8ae3201e5847cee59aebbcafdfe6b2c361f9398b349.lock 08/25/2021 19:11:32 - INFO - transformers.modeling_utils - loading weights file https://s3.amazonaws.com/models.huggingface.co/bert/microsoft/codebert-base/pytorch_model.bin from cache at /home/linjiayi/.cache/torch/transformers/3416309b564f60f87c1bc2ce8d8a82bb7c1e825b241c816482f750b48a5cdc26.96251fe4478bac0cff9de8ae3201e5847cee59aebbcafdfe6b2c361f9398b349 Traceback (most recent call last): File "./code_search/run_siamese_test.py", line 722, in main() File "./code_search/run_siamese_test.py", line 670, in main model.load_state_dict(torch.load(os.path.join(args.checkpoint_path, 'pytorch_model.bin'))) File "/home/linjiayi/anaconda3/envs/Deepcs/lib/python3.6/site-packages/torch/serialization.py", line 381, in load f = open(f, 'rb') FileNotFoundError: [Errno 2] No such file or directory: './model/codesearchnet-checkpoint/pytorch_model.bin'

Jun-jie-Huang commented 3 years ago

I see. To solve this, you can first download the codesearchnet-checkpoint from this link. Then move it to ./model/ and rename the dirname to codesearchnet-checkpoint

skye95git commented 3 years ago

I see. To solve this, you can first download the codesearchnet-checkpoint from this link. Then move it to ./model/ and rename the dirname to codesearchnet-checkpoint

Thanks for your reply! But the link need access:

捕获
skye95git commented 3 years ago

I see. To solve this, you can first download the codesearchnet-checkpoint from this link. Then move it to ./model/ and rename the dirname to codesearchnet-checkpoint

Hi, I have another question: I will train a search model with CoCLR in the step 3. Why do I need to download the checkpoint trained on CodeSearchNet in the step 1? What is the role of the checkpoint downloaded in step 1? Is it codebert as the encoder?

Jun-jie-Huang commented 3 years ago

I see. To solve this, you can first download the codesearchnet-checkpoint from this link. Then move it to ./model/ and rename the dirname to codesearchnet-checkpoint

Hi, I have another question: I will train a search model with CoCLR in the step 3. Why do I need to download the checkpoint trained on CodeSearchNet in the step 1? What is the role of the checkpoint downloaded in step 1? Is it codebert as the encoder?

The reason why initializing with checkpoint trained on CodeSearchNet is to boost performance. We find the performance drops if the checkpoint not incorporated. You can also remove line of command --checkpoint_path ./model/codesearchnet-checkpoint \ to run.

Jun-jie-Huang commented 3 years ago

I see. To solve this, you can first download the codesearchnet-checkpoint from this link. Then move it to ./model/ and rename the dirname to codesearchnet-checkpoint

Thanks for your reply! But the link need access:

捕获

I see. I will update this link

Update: the links are now updated.

akhileshgotmare commented 3 years ago

@Jun-jie-Huang you mention the checkpoint is trained on codesearchnet - is this training done using the L_b and L_ib losses from the paper or MLM loss of codebert?