optimizer: {'name': 'Adam', 'weight_decay': None, 'clipnorm': None, 'global_clipnorm': None, 'clipvalue': None, 'use_ema': False, 'ema_momentum': 0.99, 'ema_overwrite_frequency': None, 'jit_compile': True, 'is_legacy_optimizer': False, 'learning_rate': np.float32(0.001), 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
training_precision: float32

Training results

Train Loss	Validation Loss	Validation Mean Iou	Validation Mean Accuracy	Validation Overall Accuracy	Validation Accuracy Flat-road	Validation Accuracy Flat-sidewalk	Validation Accuracy Flat-crosswalk	Validation Accuracy Flat-cyclinglane	Validation Accuracy Flat-parkingdriveway	Validation Accuracy Flat-railtrack	Validation Accuracy Flat-curb	Validation Accuracy Human-person	Validation Accuracy Vehicle-car	Validation Accuracy Vehicle-tramtrain	Validation Accuracy Vehicle-bicycle	Validation Accuracy Construction-building	Validation Accuracy Construction-wall	Validation Accuracy Construction-fenceguardrail	Validation Accuracy Construction-tunnel	Validation Accuracy Construction-stairs	Validation Accuracy Object-pole	Validation Accuracy Object-trafficsign	Validation Accuracy Nature-vegetation	Validation Accuracy Nature-terrain	Validation Accuracy Sky	Validation Accuracy Void-ground	Validation Accuracy Void-dynamic	Validation Accuracy Void-static	Validation Iou Flat-road	Validation Iou Flat-sidewalk	Validation Iou Flat-crosswalk	Validation Iou Flat-cyclinglane	Validation Iou Flat-parkingdriveway	Validation Iou Flat-railtrack	Validation Iou Flat-curb	Validation Iou Human-person	Validation Iou Vehicle-car	Validation Iou Vehicle-tramtrain	Validation Iou Vehicle-bicycle	Validation Iou Construction-building	Validation Iou Construction-wall	Validation Iou Construction-fenceguardrail	Validation Iou Construction-tunnel	Validation Iou Construction-stairs	Validation Iou Object-pole	Validation Iou Object-trafficsign	Validation Iou Nature-vegetation	Validation Iou Nature-terrain	Validation Iou Sky	Validation Iou Void-ground	Validation Iou Void-dynamic	Validation Iou Void-static	Epoch
1.3291	1.0834	0.1488	0.2100	0.6895	0.8278	0.8202	0.0631	0.7161	0.0505	nan	0.0359	0.0000	0.8153	nan	0.0	0.6870	0.0002	0.0033	nan	0.0	0.0742	0.0	0.8650	0.8250	0.9202	0.0	0.0	0.0159	0.4038	0.7089	0.0627	0.3891	0.0471	nan	0.0341	0.0000	0.4268	nan	0.0	0.5252	0.0002	0.0032	nan	0.0	0.0699	0.0	0.7354	0.5027	0.8394	0.0	0.0	0.0146	0
0.9783	0.9847	0.1747	0.2213	0.7196	0.7274	0.9212	0.2552	0.5658	0.2208	nan	0.1548	0.0	0.6389	nan	0.0	0.8932	0.0612	0.0014	nan	0.0	0.1207	0.0	0.7750	0.7780	0.9653	0.0	0.0	0.0013	0.5015	0.7513	0.2465	0.5199	0.1827	nan	0.1488	0.0	0.5045	nan	0.0	0.4170	0.0467	0.0014	nan	0.0	0.1098	0.0	0.7200	0.6335	0.8063	0.0	0.0	0.0013	1
0.8565	0.8061	0.2138	0.2660	0.7711	0.7322	0.9277	0.4644	0.6363	0.3942	nan	0.3171	0.2172	0.9167	nan	0.0164	0.8231	0.2105	0.0065	nan	0.0	0.1283	0.0033	0.9127	0.8436	0.9259	0.0	0.0	0.0358	0.5342	0.7806	0.4534	0.5564	0.2648	nan	0.2687	0.1706	0.6152	nan	0.0159	0.5953	0.1542	0.0061	nan	0.0	0.1143	0.0033	0.7844	0.6095	0.8824	0.0	0.0	0.0321	2
0.7673	0.7720	0.2198	0.2731	0.7854	0.7958	0.9305	0.5716	0.6313	0.4454	nan	0.5080	0.1205	0.9306	nan	0.0162	0.8411	0.1548	0.0001	nan	0.0	0.0951	0.0	0.9087	0.8119	0.9506	0.0	0.0089	0.0197	0.6057	0.8024	0.5471	0.5568	0.3189	nan	0.3633	0.1007	0.6283	nan	0.0158	0.5647	0.1215	0.0001	nan	0.0	0.0914	0.0	0.8117	0.6271	0.8496	0.0	0.0088	0.0183	3
0.7418	0.7872	0.2293	0.2832	0.7783	0.8248	0.8975	0.6101	0.6281	0.3121	nan	0.4533	0.4913	0.9210	nan	0.0538	0.7946	0.1307	0.0275	nan	0.0	0.1505	0.0360	0.9696	0.6719	0.9670	0.0	0.0006	0.1208	0.5507	0.7959	0.5700	0.5254	0.2666	nan	0.3534	0.3658	0.6384	nan	0.0491	0.5880	0.1108	0.0268	nan	0.0	0.1384	0.0355	0.7676	0.5816	0.8848	0.0	0.0006	0.0894	4
0.6966	0.7587	0.2413	0.3027	0.7840	0.7927	0.9151	0.6636	0.7228	0.2102	nan	0.4131	0.6979	0.8449	nan	0.2671	0.7795	0.2824	0.0468	nan	0.0	0.2887	0.0463	0.9584	0.7435	0.9569	0.0058	0.0	0.0501	0.5189	0.7974	0.5764	0.5230	0.1848	nan	0.3310	0.3335	0.7404	nan	0.1795	0.6068	0.2379	0.0423	nan	0.0	0.2270	0.0459	0.8155	0.6722	0.8419	0.0046	0.0	0.0423	5
0.6565	0.8082	0.2206	0.2682	0.7821	0.7983	0.9590	0.2845	0.6360	0.2434	nan	0.2756	0.0879	0.8711	nan	0.0189	0.7866	0.2043	0.1147	nan	0.0	0.3901	0.0326	0.9381	0.8518	0.9604	0.0	0.0282	0.1019	0.5838	0.7751	0.2830	0.5702	0.2161	nan	0.2581	0.0831	0.6484	nan	0.0189	0.6301	0.1834	0.1023	nan	0.0	0.2491	0.0323	0.8036	0.6228	0.8998	0.0	0.0245	0.0744	6
0.6245	0.8498	0.2297	0.3022	0.7461	0.8185	0.7718	0.7129	0.7835	0.5612	nan	0.3952	0.1481	0.8759	nan	0.1238	0.6600	0.4792	0.2270	nan	0.0203	0.2582	0.0606	0.9587	0.7899	0.9807	0.0	0.0000	0.0441	0.5084	0.7271	0.5824	0.3467	0.3178	nan	0.2868	0.1422	0.6749	nan	0.1068	0.5674	0.2422	0.1731	nan	0.0199	0.2089	0.0572	0.8077	0.6993	0.8447	0.0	0.0000	0.0360	7
0.6210	0.7098	0.2546	0.3183	0.7989	0.7547	0.9153	0.5937	0.7093	0.5991	nan	0.4636	0.4315	0.8986	nan	0.3000	0.8541	0.2948	0.0697	nan	0.0	0.2484	0.1307	0.9310	0.8697	0.9767	0.0	0.0564	0.0895	0.5989	0.8207	0.5435	0.5866	0.3766	nan	0.3681	0.3018	0.6824	nan	0.1525	0.6406	0.2202	0.0640	nan	0.0	0.2128	0.1212	0.7939	0.6533	0.8962	0.0	0.0417	0.0706	8
0.6274	0.7743	0.2352	0.2975	0.7837	0.8940	0.8819	0.5946	0.6746	0.2939	nan	0.4861	0.5861	0.9331	nan	0.1370	0.7791	0.1861	0.0480	nan	0.0126	0.2207	0.0088	0.9551	0.7562	0.9789	0.0017	0.0039	0.0880	0.5427	0.8053	0.5493	0.5097	0.2477	nan	0.3797	0.2871	0.6832	nan	0.1153	0.6060	0.1663	0.0445	nan	0.0117	0.1905	0.0087	0.8113	0.6702	0.8212	0.0014	0.0039	0.0707	9

Framework versions

Transformers 4.50.3
TensorFlow 2.18.0
Datasets 3.5.0
Tokenizers 0.21.1