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': 6e-05, '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-bicycle	Validation Accuracy Vehicle-cartrailer	Validation Accuracy Construction-building	Validation Accuracy Construction-door	Validation Accuracy Construction-wall	Validation Accuracy Construction-fenceguardrail	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-bicycle	Validation Iou Vehicle-cartrailer	Validation Iou Construction-building	Validation Iou Construction-door	Validation Iou Construction-wall	Validation Iou Construction-fenceguardrail	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
1.4417	0.9458	0.1720	0.2164	0.7492	0.7213	0.9392	0.0032	0.6615	0.0978	nan	0.0859	0.0166	0.8492	0.0004	nan	0.8935	0.0	0.2675	0.0126	0.0139	0.0	0.9325	0.7108	0.9198	0.0	0.0	0.0155	0.5252	0.7670	0.0032	0.5555	0.0878	nan	0.0719	0.0165	0.6335	0.0004	nan	0.6036	0.0	0.1696	0.0124	0.0136	0.0	0.7625	0.5888	0.8511	0.0	0.0	0.0148	0
0.8432	0.7725	0.2355	0.2899	0.7998	0.8920	0.9053	0.6734	0.7470	0.3021	nan	0.3411	0.3125	0.9194	0.2151	nan	0.8866	0.0	0.3137	0.1988	0.1288	0.0	0.9490	0.7460	0.9398	0.0	0.0	0.0970	0.6620	0.8339	0.5670	0.5954	0.2320	nan	0.2613	0.2838	0.6686	0.1247	nan	0.6523	0.0	0.2020	0.1600	0.1165	0.0	0.7997	0.6352	0.8898	0.0	0.0	0.0860	1
0.7035	0.7581	0.2508	0.3187	0.7947	0.8945	0.8435	0.8598	0.7456	0.4480	nan	0.3224	0.5241	0.9059	0.3407	nan	0.9156	0.0	0.2807	0.2499	0.2601	0.0	0.9390	0.8018	0.9606	0.0	0.0049	0.2197	0.6317	0.8090	0.4994	0.6327	0.2302	nan	0.2613	0.4452	0.6982	0.1719	nan	0.6719	0.0	0.2417	0.1960	0.2143	0.0	0.8222	0.6768	0.8946	0.0	0.0033	0.1775	2
0.6112	0.6224	0.2727	0.3304	0.8278	0.8344	0.9527	0.8526	0.7185	0.3794	nan	0.4402	0.6559	0.9143	0.3014	nan	0.9239	0.0	0.4043	0.3335	0.2741	0.0	0.9102	0.8604	0.9556	0.0	0.0062	0.1850	0.7346	0.8435	0.7084	0.6373	0.2833	nan	0.3242	0.5212	0.7058	0.2147	nan	0.7120	0.0	0.2865	0.2758	0.2228	0.0	0.8232	0.6333	0.9095	0.0	0.0054	0.1570	3
0.5658	0.6820	0.2736	0.3393	0.8140	0.8209	0.9071	0.8663	0.7009	0.4370	nan	0.4513	0.7244	0.9263	0.3297	nan	0.8640	0.0239	0.4192	0.3167	0.3078	0.0000	0.9553	0.8359	0.9632	0.0001	0.0059	0.3424	0.6646	0.8269	0.5585	0.6586	0.2672	nan	0.3489	0.5512	0.7427	0.2798	nan	0.7027	0.0239	0.2868	0.2483	0.2342	0.0000	0.8203	0.6535	0.9096	0.0001	0.0041	0.2463	4

Framework versions

Transformers 4.35.2
TensorFlow 2.15.0
Datasets 2.16.0
Tokenizers 0.15.0