luca-g97/mit-b0-finetuned-sidewalks

This model is a fine-tuned version of nvidia/mit-b0 on an unknown dataset. It achieves the following results on the evaluation set:

• Train Loss: 0.1941
• Validation Loss: 0.5077
• Validation Mean Iou: 0.3541
• Validation Mean Accuracy: 0.4368
• Validation Overall Accuracy: 0.8760
• Validation Accuracy Unlabeled: 0.0
• Validation Accuracy Flat-road: 0.8810
• Validation Accuracy Flat-sidewalk: 0.9600
• Validation Accuracy Flat-crosswalk: 0.5080
• Validation Accuracy Flat-cyclinglane: 0.7956
• Validation Accuracy Flat-parkingdriveway: 0.4939
• Validation Accuracy Flat-railtrack: nan
• Validation Accuracy Flat-curb: 0.5978
• Validation Accuracy Human-person: 0.7554
• Validation Accuracy Human-rider: 0.1367
• Validation Accuracy Vehicle-car: 0.9179
• Validation Accuracy Vehicle-truck: 0.0599
• Validation Accuracy Vehicle-bus: nan
• Validation Accuracy Vehicle-tramtrain: nan
• Validation Accuracy Vehicle-motorcycle: 0.0
• Validation Accuracy Vehicle-bicycle: 0.7221
• Validation Accuracy Vehicle-caravan: 0.0
• Validation Accuracy Vehicle-cartrailer: 0.0
• Validation Accuracy Construction-building: 0.8944
• Validation Accuracy Construction-door: 0.1175
• Validation Accuracy Construction-wall: 0.6129
• Validation Accuracy Construction-fenceguardrail: 0.4032
• Validation Accuracy Construction-bridge: 0.0
• Validation Accuracy Construction-tunnel: nan
• Validation Accuracy Construction-stairs: 0.2636
• Validation Accuracy Object-pole: 0.4817
• Validation Accuracy Object-trafficsign: 0.3849
• Validation Accuracy Object-trafficlight: 0.0
• Validation Accuracy Nature-vegetation: 0.9453
• Validation Accuracy Nature-terrain: 0.9461
• Validation Accuracy Sky: 0.9760
• Validation Accuracy Void-ground: 0.0649
• Validation Accuracy Void-dynamic: 0.1096
• Validation Accuracy Void-static: 0.5128
• Validation Accuracy Void-unclear: 0.0
• Validation Iou Unlabeled: 0.0
• Validation Iou Flat-road: 0.7899
• Validation Iou Flat-sidewalk: 0.8798
• Validation Iou Flat-crosswalk: 0.3854
• Validation Iou Flat-cyclinglane: 0.7444
• Validation Iou Flat-parkingdriveway: 0.3950
• Validation Iou Flat-railtrack: nan
• Validation Iou Flat-curb: 0.5344
• Validation Iou Human-person: 0.4893
• Validation Iou Human-rider: 0.1164
• Validation Iou Vehicle-car: 0.7795
• Validation Iou Vehicle-truck: 0.0515
• Validation Iou Vehicle-bus: nan
• Validation Iou Vehicle-tramtrain: 0.0
• Validation Iou Vehicle-motorcycle: 0.0
• Validation Iou Vehicle-bicycle: 0.5232
• Validation Iou Vehicle-caravan: 0.0
• Validation Iou Vehicle-cartrailer: 0.0
• Validation Iou Construction-building: 0.7498
• Validation Iou Construction-door: 0.1094
• Validation Iou Construction-wall: 0.4920
• Validation Iou Construction-fenceguardrail: 0.3325
• Validation Iou Construction-bridge: 0.0
• Validation Iou Construction-tunnel: nan
• Validation Iou Construction-stairs: 0.2083
• Validation Iou Object-pole: 0.3678
• Validation Iou Object-trafficsign: 0.2519
• Validation Iou Object-trafficlight: 0.0
• Validation Iou Nature-vegetation: 0.8789
• Validation Iou Nature-terrain: 0.8304
• Validation Iou Sky: 0.9409
• Validation Iou Void-ground: 0.0447
• Validation Iou Void-dynamic: 0.0765
• Validation Iou Void-static: 0.3601
• Validation Iou Void-unclear: 0.0
• Epoch: 30

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

• 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 Unlabeled	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 Human-rider	Validation Accuracy Vehicle-car	Validation Accuracy Vehicle-truck	Validation Accuracy Vehicle-bus	Validation Accuracy Vehicle-tramtrain	Validation Accuracy Vehicle-motorcycle	Validation Accuracy Vehicle-bicycle	Validation Accuracy Vehicle-caravan	Validation Accuracy Vehicle-cartrailer	Validation Accuracy Construction-building	Validation Accuracy Construction-door	Validation Accuracy Construction-wall	Validation Accuracy Construction-fenceguardrail	Validation Accuracy Construction-bridge	Validation Accuracy Construction-tunnel	Validation Accuracy Construction-stairs	Validation Accuracy Object-pole	Validation Accuracy Object-trafficsign	Validation Accuracy Object-trafficlight	Validation Accuracy Nature-vegetation	Validation Accuracy Nature-terrain	Validation Accuracy Sky	Validation Accuracy Void-ground	Validation Accuracy Void-dynamic	Validation Accuracy Void-static	Validation Accuracy Void-unclear	Validation Iou Unlabeled	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 Human-rider	Validation Iou Vehicle-car	Validation Iou Vehicle-truck	Validation Iou Vehicle-bus	Validation Iou Vehicle-tramtrain	Validation Iou Vehicle-motorcycle	Validation Iou Vehicle-bicycle	Validation Iou Vehicle-caravan	Validation Iou Vehicle-cartrailer	Validation Iou Construction-building	Validation Iou Construction-door	Validation Iou Construction-wall	Validation Iou Construction-fenceguardrail	Validation Iou Construction-bridge	Validation Iou Construction-tunnel	Validation Iou Construction-stairs	Validation Iou Object-pole	Validation Iou Object-trafficsign	Validation Iou Object-trafficlight	Validation Iou Nature-vegetation	Validation Iou Nature-terrain	Validation Iou Sky	Validation Iou Void-ground	Validation Iou Void-dynamic	Validation Iou Void-static	Validation Iou Void-unclear	Epoch
1.3678	0.8166	0.1980	0.2461	0.7806	0.0	0.7198	0.9333	0.1239	0.6224	0.2909	nan	0.2044	0.0227	0.0	0.8980	0.0	nan	nan	0.0	0.0	0.0	0.0	0.8838	0.0	0.0930	0.0426	0.0	nan	0.0	0.0725	0.0	0.0	0.9093	0.8657	0.9392	0.0	0.0	0.0062	0.0	0.0	0.5656	0.7927	0.1207	0.5722	0.1948	nan	0.1673	0.0225	0.0	0.5772	0.0	nan	nan	0.0	0.0	0.0	0.0	0.5809	0.0	0.0864	0.0425	0.0	nan	0.0	0.0692	0.0	0.0	0.7793	0.6938	0.8673	0.0	0.0	0.0061	0.0	0
0.8157	0.6782	0.2459	0.3022	0.8185	0.0	0.8366	0.9295	0.4668	0.7053	0.2766	nan	0.2969	0.5333	0.0	0.8409	0.0	nan	nan	0.0	0.0069	0.0	0.0	0.9093	0.0	0.3089	0.2250	0.0	nan	0.0	0.2037	0.0	0.0	0.9486	0.8869	0.9594	0.0	0.0	0.0323	0.0	0.0	0.6544	0.8362	0.3660	0.6237	0.2080	nan	0.2318	0.2292	0.0	0.6802	0.0	nan	nan	0.0	0.0069	0.0	0.0	0.6389	0.0	0.2751	0.2078	0.0	nan	0.0	0.1733	0.0	0.0	0.8125	0.7673	0.8818	0.0	0.0	0.0310	0.0	1
0.6971	0.6359	0.2706	0.3314	0.8186	0.0	0.8099	0.9316	0.4949	0.6689	0.2490	nan	0.3254	0.5711	0.0	0.8972	0.0	nan	nan	0.0	0.3873	0.0	0.0	0.9079	0.0	0.5179	0.3214	0.0	nan	0.0	0.3090	0.0	0.0	0.9340	0.8005	0.9599	0.0	0.0140	0.1744	0.0	0.0	0.6485	0.8294	0.2456	0.6194	0.1932	nan	0.2772	0.3387	0.0	0.6913	0.0	nan	nan	0.0	0.3516	0.0	0.0	0.6685	0.0	0.4051	0.2726	0.0	nan	0.0	0.2356	0.0	0.0	0.8189	0.7404	0.8881	0.0	0.0131	0.1515	0.0	2
0.6190	0.5661	0.2928	0.3492	0.8410	0.0	0.8018	0.9605	0.4340	0.7528	0.2925	nan	0.3419	0.6177	0.0	0.8887	0.0	nan	nan	0.0	0.5688	0.0	0.0	0.9146	0.0	0.5262	0.3174	0.0	nan	0.0	0.3713	0.0	0.0	0.9455	0.8983	0.9440	0.0	0.0473	0.2025	0.0	0.0	0.6959	0.8428	0.4016	0.6376	0.2351	nan	0.3048	0.3808	0.0	0.7238	0.0	nan	nan	0.0	0.4529	0.0	0.0	0.6973	0.0	0.4300	0.2747	0.0	nan	0.0	0.2645	0.0	0.0	0.8487	0.7814	0.9004	0.0	0.0317	0.1718	0.0	3
0.5546	0.5378	0.3005	0.3645	0.8455	0.0	0.8288	0.9414	0.4559	0.7588	0.4077	nan	0.4985	0.5859	0.0	0.9055	0.0	nan	nan	0.0	0.5452	0.0	0.0	0.9012	0.0	0.5211	0.3851	0.0	nan	0.0	0.3665	0.0	0.0	0.9333	0.9072	0.9626	0.0004	0.0532	0.3407	0.0	0.0	0.7155	0.8525	0.3475	0.6677	0.3046	nan	0.3939	0.3489	0.0	0.7226	0.0	nan	nan	0.0	0.4275	0.0	0.0	0.6930	0.0	0.4213	0.2958	0.0	nan	0.0	0.2748	0.0	0.0	0.8559	0.7770	0.9057	0.0003	0.0454	0.2655	0.0	4
0.5012	0.5478	0.3005	0.3737	0.8410	0.0	0.7172	0.9665	0.4663	0.8264	0.3314	nan	0.4364	0.7392	0.0	0.8793	0.0	nan	nan	0.0	0.6710	0.0	0.0	0.8810	0.0040	0.5212	0.4739	0.0	nan	0.0	0.4279	0.0	0.0	0.9229	0.9260	0.9578	0.0	0.1377	0.2975	0.0	0.0	0.6691	0.8400	0.3682	0.6677	0.2650	nan	0.3581	0.3654	0.0	0.7473	0.0	nan	nan	0.0	0.4533	0.0	0.0	0.7095	0.0040	0.3844	0.3315	0.0	nan	0.0	0.2911	0.0	0.0	0.8621	0.8017	0.9127	0.0	0.0533	0.2311	0.0	5
0.4696	0.5304	0.3069	0.3761	0.8494	0.0	0.8421	0.9436	0.4656	0.7385	0.4812	nan	0.5467	0.7282	0.0	0.9217	0.0	nan	nan	0.0	0.5838	0.0	0.0	0.8754	0.0164	0.5180	0.4119	0.0	nan	0.0	0.3841	0.0049	0.0	0.9503	0.8761	0.9670	0.0	0.1233	0.2799	0.0	0.0	0.7387	0.8537	0.3492	0.6961	0.3412	nan	0.4438	0.3894	0.0	0.7149	0.0	nan	nan	0.0	0.4264	0.0	0.0	0.7074	0.0163	0.3938	0.2934	0.0	nan	0.0	0.2882	0.0049	0.0	0.8522	0.7903	0.9116	0.0	0.0756	0.2273	0.0	6
0.4253	0.5283	0.3140	0.3804	0.8512	0.0	0.8989	0.9158	0.4850	0.7735	0.5623	nan	0.4545	0.6829	0.0	0.9019	0.0	nan	nan	0.0	0.5551	0.0	0.0	0.9127	0.0041	0.5504	0.3501	0.0	nan	0.1083	0.4291	0.0133	0.0	0.9489	0.9091	0.9659	0.0	0.0944	0.2753	0.0	0.0	0.7192	0.8621	0.4080	0.7179	0.3419	nan	0.3818	0.4004	0.0	0.7424	0.0	nan	nan	0.0	0.4431	0.0	0.0	0.7140	0.0040	0.4269	0.2753	0.0	nan	0.1041	0.3078	0.0132	0.0	0.8562	0.7841	0.9159	0.0	0.0738	0.2402	0.0	7
0.4050	0.5155	0.3203	0.3976	0.8550	0.0	0.8329	0.9366	0.4963	0.8614	0.4826	nan	0.5578	0.7241	0.0	0.8664	0.0	nan	nan	0.0	0.6993	0.0	0.0	0.8821	0.0810	0.5857	0.4431	0.0	nan	0.0655	0.4235	0.1598	0.0	0.9457	0.9156	0.9722	0.0	0.0985	0.2959	0.0	0.0	0.7187	0.8706	0.3583	0.7082	0.3354	nan	0.4595	0.3835	0.0	0.7495	0.0	nan	nan	0.0	0.4427	0.0	0.0	0.7288	0.0760	0.4159	0.3283	0.0	nan	0.0641	0.2988	0.1106	0.0	0.8617	0.8017	0.9180	0.0	0.0547	0.2441	0.0	8
0.3736	0.5247	0.3238	0.3898	0.8552	0.0	0.8784	0.9346	0.4956	0.7814	0.4293	nan	0.5294	0.7039	0.0	0.9317	0.0	nan	nan	0.0	0.5909	0.0	0.0	0.8907	0.0561	0.5289	0.3452	0.0	nan	0.1251	0.3892	0.1104	0.0	0.9318	0.9387	0.9699	0.0028	0.0957	0.4239	0.0	0.0	0.7247	0.8604	0.3760	0.7168	0.3123	nan	0.4448	0.4529	0.0	0.7461	0.0	nan	nan	0.0	0.4482	0.0	0.0	0.7247	0.0535	0.4300	0.2811	0.0	nan	0.1229	0.3080	0.0869	0.0	0.8635	0.8011	0.9229	0.0025	0.0510	0.3076	0.0	9
0.3660	0.5736	0.3205	0.3821	0.8480	0.0	0.7531	0.9718	0.4589	0.6779	0.3548	nan	0.5450	0.7285	0.0	0.9037	0.0	nan	nan	0.0	0.5942	0.0	0.0	0.9021	0.0158	0.5726	0.3303	0.0	nan	0.1523	0.4334	0.1331	0.0	0.9518	0.9186	0.9753	0.0083	0.1894	0.2739	0.0	0.0	0.6874	0.8352	0.3769	0.6518	0.2890	nan	0.4676	0.4524	0.0	0.7543	0.0	nan	nan	0.0	0.4748	0.0	0.0	0.7261	0.0153	0.4510	0.2708	0.0	nan	0.1462	0.3191	0.1197	0.0	0.8651	0.7985	0.9259	0.0079	0.0753	0.2257	0.0	10
0.3392	0.4919	0.3375	0.4135	0.8621	0.0	0.8390	0.9461	0.4833	0.8450	0.5165	nan	0.5727	0.7460	0.0002	0.8947	0.0003	nan	nan	0.0	0.7287	0.0	0.0	0.9005	0.0569	0.5783	0.4042	0.0	nan	0.1868	0.4545	0.1994	0.0	0.9291	0.9408	0.9775	0.1256	0.1342	0.3576	0.0	0.0	0.7353	0.8747	0.3814	0.7270	0.3691	nan	0.4786	0.4109	0.0002	0.7686	0.0003	nan	nan	0.0	0.4835	0.0	0.0	0.7306	0.0527	0.4655	0.2977	0.0	nan	0.1652	0.3295	0.1699	0.0	0.8718	0.8125	0.9248	0.0877	0.0535	0.2729	0.0	11
0.3274	0.5153	0.3302	0.4071	0.8585	0.0	0.9093	0.9274	0.4820	0.8091	0.4834	nan	0.4533	0.7872	0.0107	0.9117	0.0001	nan	nan	0.0	0.6741	0.0	0.0	0.8985	0.0589	0.5968	0.4355	0.0	nan	0.1966	0.4348	0.2332	0.0	0.9394	0.9349	0.9712	0.0237	0.1825	0.2670	0.0	0.0	0.7495	0.8631	0.3891	0.7515	0.3469	nan	0.4007	0.3865	0.0095	0.7635	0.0001	nan	nan	0.0	0.4943	0.0	0.0	0.7370	0.0576	0.4389	0.3287	0.0	nan	0.1678	0.3169	0.1431	0.0	0.8631	0.7915	0.9288	0.0172	0.0675	0.2234	0.0	12
0.3221	0.5148	0.3329	0.4010	0.8608	0.0	0.8625	0.9491	0.3924	0.8131	0.4245	nan	0.5415	0.7432	0.0113	0.9079	0.0002	nan	nan	0.0	0.6333	0.0	0.0	0.9290	0.0873	0.5861	0.4376	0.0	nan	0.1606	0.4185	0.2101	0.0	0.9395	0.8990	0.9714	0.0654	0.1436	0.3051	0.0	0.0	0.7564	0.8669	0.3249	0.7026	0.3299	nan	0.4655	0.4331	0.0099	0.7630	0.0002	nan	nan	0.0	0.4753	0.0	0.0	0.7191	0.0809	0.4667	0.3315	0.0	nan	0.1472	0.3229	0.1520	0.0	0.8683	0.8078	0.9306	0.0497	0.0651	0.2508	0.0	13
0.3056	0.5403	0.3368	0.4091	0.8557	0.0	0.8120	0.9533	0.4851	0.7418	0.3948	nan	0.6013	0.7937	0.0060	0.9137	0.0023	nan	nan	0.0	0.6186	0.0	0.0	0.8791	0.0825	0.6385	0.3862	0.0	nan	0.2158	0.3970	0.2625	0.0	0.9463	0.9225	0.9755	0.0393	0.1919	0.4232	0.0	0.0	0.7225	0.8512	0.3795	0.6770	0.2905	nan	0.5000	0.4606	0.0052	0.7784	0.0021	nan	nan	0.0	0.4949	0.0	0.0	0.7344	0.0757	0.4592	0.3062	0.0	nan	0.1658	0.3130	0.1830	0.0	0.8707	0.8090	0.9284	0.0368	0.0813	0.3143	0.0	14
0.2898	0.4892	0.3480	0.4206	0.8694	0.0	0.8454	0.9589	0.4744	0.8461	0.4562	nan	0.5836	0.7364	0.1053	0.9102	0.0031	nan	nan	0.0	0.7415	0.0	0.0	0.9016	0.0974	0.6077	0.4400	0.0	nan	0.2158	0.4142	0.2735	0.0	0.9474	0.9256	0.9753	0.0861	0.1183	0.3736	0.0	0.0	0.7670	0.8740	0.3932	0.7655	0.3413	nan	0.5069	0.4278	0.0736	0.7823	0.0028	nan	nan	0.0	0.5135	0.0	0.0	0.7385	0.0884	0.4712	0.3544	0.0	nan	0.1490	0.3234	0.1806	0.0	0.8745	0.8187	0.9333	0.0641	0.0599	0.2825	0.0	15
0.2757	0.5107	0.3440	0.4124	0.8669	0.0	0.8181	0.9672	0.4493	0.8219	0.5424	nan	0.5567	0.7384	0.0114	0.9238	0.0039	nan	nan	0.0	0.6754	0.0	0.0	0.8965	0.0565	0.6267	0.3753	0.0	nan	0.2636	0.4058	0.2556	0.0	0.9293	0.9475	0.9743	0.0256	0.1501	0.3691	0.0	0.0	0.7619	0.8663	0.3868	0.7556	0.4069	nan	0.4870	0.4423	0.0104	0.7641	0.0036	nan	nan	0.0	0.4962	0.0	0.0	0.7423	0.0527	0.4982	0.3127	0.0	nan	0.1913	0.3226	0.1862	0.0	0.8639	0.7947	0.9350	0.0189	0.0757	0.2877	0.0	16
0.2541	0.5001	0.3465	0.4193	0.8675	0.0	0.8292	0.9581	0.4912	0.8537	0.4359	nan	0.6247	0.7447	0.0201	0.9260	0.0041	nan	nan	0.0	0.7137	0.0	0.0	0.9015	0.1173	0.5703	0.3468	0.0	nan	0.2524	0.4547	0.3021	0.0	0.9471	0.9186	0.9755	0.0396	0.1592	0.4123	0.0	0.0	0.7461	0.8762	0.4013	0.7225	0.3544	nan	0.5335	0.4415	0.0177	0.7683	0.0036	nan	nan	0.0	0.5075	0.0	0.0	0.7306	0.1099	0.4737	0.2855	0.0	nan	0.1933	0.3426	0.1773	0.0	0.8734	0.8156	0.9330	0.0257	0.0870	0.3216	0.0	17
0.2666	0.5042	0.3362	0.4197	0.8673	0.0	0.8441	0.9558	0.4772	0.8006	0.5152	nan	0.5665	0.7760	0.0768	0.9112	0.0066	nan	nan	0.0	0.7037	0.0	0.0	0.9012	0.1006	0.5956	0.3980	0.0	nan	0.2635	0.4163	0.3349	0.0	0.9520	0.9046	0.9791	0.0175	0.0496	0.4629	0.0	0.0	0.7501	0.8680	0.4113	0.7448	0.3768	nan	0.4808	0.4313	0.0608	0.7736	0.0057	nan	0.0	0.0	0.4943	0.0	0.0	0.7462	0.0930	0.4800	0.3276	0.0	nan	0.1969	0.3318	0.1824	0.0	0.8704	0.8125	0.9333	0.0156	0.0276	0.3427	0.0	18
0.2504	0.5142	0.3484	0.4145	0.8714	0.0	0.8371	0.9674	0.4828	0.8387	0.4438	nan	0.5916	0.7755	0.0336	0.9098	0.0039	nan	nan	0.0	0.6774	0.0	0.0	0.9074	0.0566	0.5599	0.3571	0.0	nan	0.2387	0.4355	0.3049	0.0	0.9527	0.9165	0.9758	0.0307	0.0807	0.4703	0.0	0.0	0.7646	0.8758	0.3941	0.7705	0.3512	nan	0.5130	0.4629	0.0282	0.7806	0.0034	nan	nan	0.0	0.4953	0.0	0.0	0.7313	0.0516	0.4698	0.3050	0.0	nan	0.2161	0.3409	0.1980	0.0	0.8760	0.8268	0.9366	0.0301	0.0500	0.3304	0.0	19
0.2446	0.5012	0.3515	0.4310	0.8716	0.0	0.8682	0.9618	0.4818	0.8386	0.4450	nan	0.5955	0.7539	0.1974	0.9232	0.0137	nan	nan	0.0	0.7583	0.0	0.0	0.8665	0.1288	0.6248	0.4094	0.0	nan	0.2788	0.4905	0.3509	0.0	0.9560	0.9269	0.9759	0.0396	0.1531	0.3212	0.0	0.0	0.7786	0.8820	0.3864	0.7625	0.3652	nan	0.5215	0.4361	0.1553	0.7780	0.0117	nan	nan	0.0	0.4862	0.0	0.0	0.7397	0.1005	0.4586	0.3304	0.0	nan	0.1980	0.3378	0.1937	0.0	0.8717	0.8109	0.9336	0.0279	0.0613	0.2703	0.0	20
0.2401	0.5020	0.3561	0.4308	0.8742	0.0	0.8655	0.9671	0.4700	0.8084	0.4765	nan	0.5854	0.7695	0.0770	0.9220	0.0103	nan	nan	0.0	0.7302	0.0	0.0	0.8743	0.1083	0.5923	0.4110	0.0	nan	0.2553	0.4874	0.3354	0.0	0.9538	0.9210	0.9794	0.1405	0.1450	0.4701	0.0	0.0	0.7971	0.8779	0.3889	0.7588	0.3682	nan	0.5158	0.4258	0.0633	0.7827	0.0091	nan	nan	0.0	0.5107	0.0	0.0	0.7496	0.0973	0.4638	0.3244	0.0	nan	0.2133	0.3548	0.1934	0.0	0.8749	0.8293	0.9331	0.0958	0.0682	0.3432	0.0	21
0.2212	0.5226	0.3627	0.4378	0.8700	0.0	0.8764	0.9647	0.5017	0.8379	0.4184	nan	0.6272	0.7174	0.2529	0.9041	0.0126	nan	nan	0.0	0.7586	0.0	0.0	0.9111	0.1342	0.6539	0.4660	0.0	nan	0.2615	0.4794	0.3201	0.0	0.8864	0.9573	0.9727	0.0723	0.2059	0.3793	0.0	0.0	0.7934	0.8781	0.3875	0.7868	0.3618	nan	0.5415	0.5344	0.1933	0.7899	0.0118	nan	nan	0.0	0.5426	0.0	0.0	0.7345	0.1159	0.4963	0.3845	0.0	nan	0.1821	0.3590	0.1928	0.0	0.8441	0.7387	0.9392	0.0546	0.0734	0.3064	0.0	22
0.2286	0.5119	0.3485	0.4300	0.8739	0.0	0.9060	0.9429	0.4847	0.8465	0.4336	nan	0.6466	0.7115	0.1329	0.9134	0.0078	nan	nan	0.0	0.7153	0.0	0.0	0.9073	0.0941	0.5938	0.4739	0.0	nan	0.2267	0.4684	0.3284	0.0	0.9536	0.9211	0.9768	0.0472	0.1654	0.4325	0.0	0.0	0.7818	0.8776	0.3993	0.7343	0.3657	nan	0.5462	0.5018	0.1147	0.7900	0.0070	nan	0.0	0.0	0.5133	0.0	0.0	0.7477	0.0884	0.4861	0.3631	0.0	nan	0.1971	0.3552	0.2041	0.0	0.8765	0.8029	0.9379	0.0403	0.0721	0.3499	0.0	23
0.2149	0.5215	0.3580	0.4310	0.8725	0.0	0.8805	0.9605	0.5094	0.8149	0.4046	nan	0.6248	0.7485	0.1781	0.9305	0.0324	nan	nan	0.0	0.7282	0.0	0.0	0.9008	0.1662	0.6190	0.3780	0.0	nan	0.2934	0.4534	0.3489	0.0	0.9547	0.8847	0.9790	0.0458	0.1169	0.4090	0.0	0.0	0.8043	0.8722	0.3930	0.7158	0.3413	nan	0.5459	0.4605	0.1261	0.7763	0.0277	nan	nan	0.0	0.4976	0.0	0.0	0.7451	0.1357	0.4977	0.3036	0.0	nan	0.2234	0.3532	0.2191	0.0	0.8704	0.8183	0.9363	0.0401	0.0650	0.3282	0.0	24
0.2116	0.5343	0.3555	0.4263	0.8695	0.0	0.8585	0.9634	0.5020	0.7841	0.5146	nan	0.5819	0.7780	0.1352	0.9088	0.0226	nan	nan	0.0	0.7205	0.0	0.0	0.9146	0.0458	0.6097	0.3694	0.0	nan	0.2702	0.4659	0.3618	0.0	0.9632	0.8248	0.9759	0.0555	0.1575	0.4305	0.0	0.0	0.7861	0.8710	0.4033	0.7300	0.3961	nan	0.5124	0.4329	0.1058	0.7851	0.0195	nan	nan	0.0	0.5317	0.0	0.0	0.7423	0.0426	0.5096	0.3190	0.0	nan	0.2290	0.3618	0.2138	0.0	0.8519	0.7803	0.9394	0.0424	0.0775	0.3381	0.0	25
0.2311	0.4961	0.3478	0.4364	0.8738	0.0	0.8734	0.9679	0.5055	0.7900	0.4253	nan	0.6437	0.7229	0.1989	0.8863	0.0392	nan	nan	0.0011	0.6654	0.0	0.0	0.8941	0.1576	0.6591	0.4683	0.0	nan	0.2810	0.4781	0.3731	0.0	0.9497	0.9264	0.9771	0.0650	0.2566	0.3215	0.0	0.0	0.7982	0.8820	0.4066	0.7279	0.3452	nan	0.5455	0.4411	0.1509	0.7748	0.0314	nan	0.0	0.0011	0.5164	0.0	0.0	0.7315	0.1440	0.4729	0.3721	0.0	nan	0.1511	0.3584	0.2174	0.0	0.8773	0.8355	0.9361	0.0497	0.0978	0.2643	0.0	26
0.2208	0.5502	0.3493	0.4366	0.8689	0.0	0.8383	0.9673	0.5042	0.7920	0.3196	nan	0.6306	0.7779	0.1291	0.9021	0.1445	nan	nan	0.0273	0.7410	0.0	0.0	0.8969	0.1208	0.5939	0.4402	0.0	nan	0.2468	0.4770	0.3748	0.0	0.9438	0.9466	0.9747	0.1148	0.1817	0.4475	0.0	0.0	0.7682	0.8633	0.4140	0.7395	0.2747	nan	0.5426	0.4367	0.1124	0.7849	0.1196	nan	0.0	0.0272	0.5120	0.0	0.0	0.7431	0.1154	0.4755	0.3410	0.0	nan	0.1788	0.3618	0.2128	0.0	0.8779	0.8179	0.9403	0.0889	0.0963	0.3342	0.0	27
0.2110	0.5231	0.3414	0.4290	0.8722	0.0	0.8684	0.9551	0.5060	0.8743	0.3936	nan	0.6295	0.7991	0.1233	0.9409	0.0481	nan	nan	0.0	0.7064	0.0	0.0	0.9129	0.1463	0.4067	0.4126	0.0	nan	0.2611	0.4535	0.3979	0.0	0.9440	0.9430	0.9801	0.1153	0.0838	0.3970	0.0	0.0	0.7971	0.8795	0.3698	0.7345	0.3286	nan	0.5408	0.4354	0.1101	0.7568	0.0463	nan	0.0	0.0	0.4965	0.0	0.0	0.7422	0.1314	0.3671	0.3160	0.0	nan	0.1858	0.3615	0.2297	0.0	0.8787	0.8337	0.9380	0.0751	0.0511	0.3184	0.0	28
0.1959	0.5240	0.3521	0.4343	0.8771	0.0	0.8744	0.9749	0.4993	0.8143	0.3366	nan	0.6376	0.7596	0.1736	0.9184	0.0424	nan	nan	0.0002	0.7469	0.0	0.0	0.8957	0.1516	0.5852	0.4130	0.0	nan	0.2630	0.4594	0.3941	0.0	0.9456	0.9363	0.9789	0.1007	0.1004	0.4621	0.0	0.0	0.8044	0.8775	0.4029	0.7728	0.2994	nan	0.5577	0.4748	0.1513	0.7884	0.0378	nan	0.0	0.0002	0.5007	0.0	0.0	0.7343	0.1427	0.4677	0.3440	0.0	nan	0.1765	0.3631	0.2372	0.0	0.8800	0.8324	0.9400	0.0701	0.0558	0.3558	0.0	29
0.1941	0.5077	0.3541	0.4368	0.8760	0.0	0.8810	0.9600	0.5080	0.7956	0.4939	nan	0.5978	0.7554	0.1367	0.9179	0.0599	nan	nan	0.0	0.7221	0.0	0.0	0.8944	0.1175	0.6129	0.4032	0.0	nan	0.2636	0.4817	0.3849	0.0	0.9453	0.9461	0.9760	0.0649	0.1096	0.5128	0.0	0.0	0.7899	0.8798	0.3854	0.7444	0.3950	nan	0.5344	0.4893	0.1164	0.7795	0.0515	nan	0.0	0.0	0.5232	0.0	0.0	0.7498	0.1094	0.4920	0.3325	0.0	nan	0.2083	0.3678	0.2519	0.0	0.8789	0.8304	0.9409	0.0447	0.0765	0.3601	0.0	30

Framework versions

• Transformers 4.35.0
• TensorFlow 2.14.0
• Datasets 2.14.6
• Tokenizers 0.14.1