ConvNeXT-XCL/ConvNeXT-XCL_eval_request_float32_XCL_nes.json

{"model_name": "ConvNeXT-XCL", "model_link": "None", "precision": "float32", "status": "FINISHED", "submitted_time": "2024-09-25T13:20:32Z", "model_type": "\ud83d\udd36 : fine-tuned", "training_dataset": "lt", "testing_type": "nes", "claimed_cmap": 0.34, "claimed_auroc": 0.88, "claimed_t1acc": 0.45, "model_backbone": "ConvNeXT", "model_parameters": 97.5}