This model is a fine-tuned version of facebook/convnextv2-tiny-22k-384 on the CheXpert dataset. It achieves the following results on the evaluation set:

Model description

More information needed

Intended uses & limitations

More information needed

More information needed

The following hyperparameters were used during training:

Training Loss	Epoch	Step	Validation Loss	Auroc Atelectasis	Auroc Cardiomegaly	Auroc Consolidation	Auroc Edema	Auroc Pleural effusion	Specificity Atelectasis	Specificity Cardiomegaly	Specificity Consolidation	Specificity Edema	Specificity Pleural effusion	Exact Match	Hamming Distance
0.0891	1.0	6120	0.0893	0.7323	0.8366	0.7020	0.8387	0.8702	0.4510	0.9661	1.0	0.6596	0.5392	0.2616	0.2444
0.0854	2.0	12240	0.0831	0.7535	0.8556	0.7350	0.8651	0.8881	0.7293	0.9042	0.9936	0.7083	0.6259	0.3571	0.1973
0.082	3.0	18360	0.0824	0.7683	0.8696	0.7473	0.8720	0.8961	0.6956	0.8196	0.9881	0.6087	0.6611	0.3298	0.2177
0.0799	4.0	24480	0.0802	0.7749	0.8720	0.7562	0.8783	0.9005	0.7450	0.8831	0.9608	0.7341	0.6984	0.3802	0.1880
0.0759	5.0	30600	0.0793	0.7795	0.8746	0.7583	0.8818	0.9030	0.7277	0.8948	0.9711	0.7618	0.7045	0.3869	0.1823
0.0739	6.0	36720	0.0798	0.7787	0.8727	0.7561	0.8812	0.9031	0.7461	0.8921	0.9690	0.7487	0.7074	0.3886	0.1824