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I found that you have upload the MNRE dataset to modelscope, but I have not found the config file for MNRE here.
What have you tried?
I have changed the dataset link in the SNAP‘s config file to MNRE, and then used it to run MNRE. Although it can run, the final result seems to be wrong, because the F1 score is almost equal to 1.
Code (if necessary)
No response
What's your environment?
AdaSeq Version (e.g., 1.0 or master):
ModelScope Version (e.g., 1.0 or master):
PyTorch Version (e.g., 1.12.1):
OS (e.g., Ubuntu 20.04):
Python version:
CUDA/cuDNN version:
GPU models and configuration:
Any other relevant information:
Code of Conduct
I agree to follow this project's Code of Conduct
The text was updated successfully, but these errors were encountered:
The task for other datasets is NER, while the task for mnre is RE. The type and content in the configuration file need to be changed, but an error occurred during runtime, stating that there is an issue with the type configuration "sequence labeling model" under the model. I am currently not sure which configuration should be changed to RE. Have you resolved this issue?
The task for other datasets is NER, while the task for mnre is RE. The type and content in the configuration file need to be changed, but an error occurred during runtime, stating that there is an issue with the type configuration "sequence labeling model" under the model. I am currently not sure which configuration should be changed to RE. Have you resolved this issue?
Have you solved the problem?Expecting a reply, many thanks
What is your question?
I found that you have upload the MNRE dataset to modelscope, but I have not found the config file for MNRE here.
What have you tried?
I have changed the dataset link in the SNAP‘s config file to MNRE, and then used it to run MNRE. Although it can run, the final result seems to be wrong, because the F1 score is almost equal to 1.
Code (if necessary)
No response
What's your environment?
Code of Conduct
The text was updated successfully, but these errors were encountered: