vit-base_rvl_cdip_aurc

This model is a fine-tuned version of jordyvl/vit-base_rvl-cdip on the None dataset. It achieves the following results on the evaluation set:

Model description

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The following hyperparameters were used during training:

Training Loss	Epoch	Step	Validation Loss	Accuracy	Brier Loss	Nll	F1 Micro	F1 Macro	Ece	Aurc
0.0303	1.0	500	0.1865	0.8795	0.1840	1.2087	0.8795	0.8791	0.0495	0.0241
0.0262	2.0	1000	0.2146	0.8788	0.1909	1.1956	0.8788	0.8789	0.0603	0.0257
0.0121	3.0	1500	0.2117	0.886	0.1799	1.0878	0.886	0.8865	0.0611	0.0230
0.0057	4.0	2000	0.2279	0.8878	0.1803	1.0108	0.8878	0.8879	0.0678	0.0228
0.0038	5.0	2500	0.2491	0.8872	0.1827	0.9661	0.8872	0.8877	0.0725	0.0234
0.0028	6.0	3000	0.2398	0.89	0.1806	0.9378	0.89	0.8901	0.0725	0.0215
0.0016	7.0	3500	0.2736	0.891	0.1792	0.8975	0.891	0.8914	0.0744	0.0221
0.0014	8.0	4000	0.2357	0.8905	0.1811	0.8993	0.8905	0.8910	0.0764	0.0210
0.001	9.0	4500	0.2714	0.8898	0.1807	0.8650	0.8898	0.8897	0.0783	0.0213
0.0009	10.0	5000	0.2759	0.893	0.1798	0.8614	0.893	0.8928	0.0750	0.0215