Wav2Vec2-Dedicated/Wav2Vec2-Dedicated_eval_request_float32_Dedicated_per.json

{"model_name": "Wav2Vec2-Dedicated", "model_link": "None", "model_backbone": "Wav2Vec2", "precision": "float32", "paper_name": "None", "paper_link": "None", "status": "FINISHED", "submitted_time": "2024-09-26T17:13:54Z", "training_dataset": "Dedicated", "testing_type": "per", "claimed_cmap": 0.11, "claimed_auroc": 0.64, "claimed_t1acc": 0.3, "model_parameters": 94.7}