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@@ -8,5 +8,5 @@ This model consists of an SMP-UNet trained on the LSDB dataset in December 2023
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  The model was trained on the training set (53 images) for 600 epochs and the best checkpoint extracted based on the validation dice score.
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- For more details on the configuration used for training, please visit https://huggingface.co/mattaq/GelGenie-LowRes-Dec-2023 and check the config.toml file.
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  The model was trained on the training set (53 images) for 600 epochs and the best checkpoint extracted based on the validation dice score.
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+ For more details on the configuration used for training, please visit https://huggingface.co/mattaq/GelGenie-LowRes-Dec-2023 and check the config.toml file. Our codebase is fully open-sourced and is available here: https://github.com/mattaq31/GelGenie.
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