glpn-nyu-finetuned-diode-221122-014502

This model is a fine-tuned version of vinvino02/glpn-nyu on the diode-subset dataset.
It achieves the following results on the evaluation set:

Model description

More information needed

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More information needed

The following hyperparameters were used during training:

Training Loss	Epoch	Step	Validation Loss	Mae	Rmse	Abs Rel	Log Mae	Log Rmse	Delta1	Delta2	Delta3
0.7598	1.0	72	0.5809	0.7606	0.9281	0.9834	0.2597	0.3064	0.1320	0.3250	0.6234
0.4481	2.0	144	0.4013	0.3507	0.4879	0.4181	0.1415	0.1950	0.4427	0.7602	0.9021
0.4066	3.0	216	0.3706	0.3081	0.4484	0.3675	0.1269	0.1823	0.5187	0.7977	0.9148
0.3965	4.0	288	0.3641	0.2987	0.4336	0.3607	0.1239	0.1787	0.5294	0.8072	0.9205
0.3942	5.0	360	0.3582	0.2903	0.4251	0.3490	0.1207	0.1753	0.5466	0.8165	0.9232
0.3575	6.0	432	0.3568	0.2898	0.4184	0.3569	0.1211	0.1753	0.5390	0.8171	0.9265
0.3418	7.0	504	0.3490	0.2771	0.4178	0.3248	0.1156	0.1707	0.5783	0.8312	0.9259
0.2916	8.0	576	0.3512	0.2819	0.4172	0.3373	0.1178	0.1725	0.5620	0.8253	0.9262
0.3055	9.0	648	0.3506	0.2808	0.4091	0.3422	0.1180	0.1718	0.5537	0.8248	0.9292
0.2932	10.0	720	0.3518	0.2809	0.4110	0.3441	0.1182	0.1724	0.5548	0.8239	0.9290
0.2518	11.0	792	0.3476	0.2756	0.4115	0.3265	0.1155	0.1700	0.5741	0.8326	0.9264
0.3177	12.0	864	0.3491	0.2784	0.4104	0.3333	0.1169	0.1706	0.5620	0.8290	0.9283
0.3038	13.0	936	0.3503	0.2795	0.4094	0.3410	0.1175	0.1717	0.5596	0.8275	0.9283
0.3299	14.0	1008	0.3460	0.2750	0.4098	0.3257	0.1154	0.1693	0.5721	0.8325	0.9283
0.3325	15.0	1080	0.3476	0.2763	0.4088	0.3308	0.1161	0.1700	0.5682	0.8301	0.9279