Metric learning #2
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Refactored dataset classes (now in dataset.py) Implemented a CustomViltModel that can handle single texts and images in input Refactoring of train.py
The test_retrieval.py script can be used to test the txt2img and img2txt performance of the model Minor Fixes: - Used long intgeres to handle study ids - vilt_processor is now correctly istantiated with max text length of max_position_embeddings -
Used torch.no_grad() to avoid computing gradients at each iteration
…nto metric_learning
…ch size from command line
…nto metric_learning
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