{"model_name": "ConvNeXT-XCL", "model_link": "None", "precision": "float32", "status": "FINISHED", "submitted_time": "2024-09-19T13:22:07Z", "model_type": "\ud83d\udd36 : fine-tuned", "training_dataset": "LT", "testing_type": "AVG", "claimed_cmap": 0.36, "claimed_auroc": 0.85, "claimed_t1acc": 0.51, "model_backbone": "ConvNeXT", "model_parameters": 97.5} |