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{"model_name": "ConvNeXT-XCL", "model_link": "None", "precision": "float32", "status": "FINISHED", "submitted_time": "2024-09-25T13:22:11Z", "model_type": "\ud83d\udd36 : fine-tuned", "training_dataset": "lt", "testing_type": "nbp", "claimed_cmap": 0.62, "claimed_auroc": 0.92, "claimed_t1acc": 0.64, "model_backbone": "ConvNeXT", "model_parameters": 97.5} |