๐ My name is Asad I like to write code, train vision and multimodal ML models and deploy them in production
๐ Feel free to contibute to one of my existing projects or reach out for colaboration on a project.
Fine tuning grounding Dino
License: Apache License 2.0
๐ My name is Asad I like to write code, train vision and multimodal ML models and deploy them in production
๐ Feel free to contibute to one of my existing projects or reach out for colaboration on a project.
hello,
Is the fine-tuning code (train.py) not complete enough for normal training?
I followed the document to set the library code. I generated my custom dataset as provided in the sample CSV file.
I used the groundingdino_swint_ogc.pth pre-trained model for the finetuning purpose and its corresponding config file. I ran the train.py provided in this code for training and the new weights were saved in my machine.
However, the issue appeared when I tried to test the model using the test.py file provided in this code. I configured the model path to the generated fine-tuned model while trying to predict a test image.
The Error is as below:
File "Grounding-Dino-FineTuning\groundingdino\util\inference.py" in Line number 37:
model.load_state_dict(clean_state_dict(checkpoint["model"]), strict=False)
KeyError: 'model'
Let me know how this issue can be rectified. Could the train.py script be missing something?
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