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{"model_name": "ConvNeXT-Dedicated", "model_link": "None", "model_backbone": "ConvNeXT", "precision": "float32", "paper_name": "None", "paper_link": "None", "status": "FINISHED", "submitted_time": "2024-09-26T17:08:37Z", "training_dataset": "Dedicated", "testing_type": "per", "claimed_cmap": 0.21, "claimed_auroc": 0.73, "claimed_t1acc": 0.44, "model_parameters": 88} |