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Model

Segformer Finetuned Coasts

Name: Segformer Finetuned Coasts
Author: peldrak

by peldrak hf-model--peldrak--segformer_finetuned_coasts

Nexus Index

25.1 Top 100%

S: Semantic 50

A: Authority 0

P: Popularity 1

R: Recency 16

Q: Quality 50

Tech Context

Vital Performance

6 DL / 30D

0.0%

Source →

Audited 25.1 FNI Score

Tiny - Params

- Context

6 Downloads

Restricted OTHER License

Model Information Summary
Entity Passport
Registry ID	hf-model--peldrak--segformer_finetuned_coasts
License	Other
Provider	huggingface

📜

Cite this model

Academic & Research Attribution

BibTeX

@misc{hf_model__peldrak__segformer_finetuned_coasts,
  author = {peldrak},
  title = {Segformer Finetuned Coasts Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/peldrak/segformer_finetuned_coasts}},
  note = {Accessed via Free2AITools Knowledge Fortress}
}

APA Style

peldrak. (2026). Segformer Finetuned Coasts [Model]. Free2AITools. https://huggingface.co/peldrak/segformer_finetuned_coasts

🔬Technical Deep Dive

Full Specifications [+]

Quick Commands

🤗 HF Download

huggingface-cli download peldrak/segformer_finetuned_coasts

📦 Install Lib

pip install -U transformers

⚖️ Nexus Index V2.0

Methodology Index Protocol

25.1

TOP 100% SYSTEM IMPACT

Semantic (S) 50

Authority (A) 0

Popularity (P) 1

Recency (R) 16

Quality (Q) 50

💬 Index Insight

FNI V2.0 for Segformer Finetuned Coasts: Semantic (S:50), Authority (A:0), Popularity (P:1), Recency (R:16), Quality (Q:50).

Free2AITools Nexus Index

Verification Authority

HuggingFace API GitHub Metadata Arxiv Citation DB System Audit

Unbiased Data Node Refresh: VFS Live

---

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Deployment Guide

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Technical Deep Dive

segformer_finetuned_coasts

This model is a fine-tuned version of nvidia/segformer-b0-finetuned-ade-512-512 on the peldrak/coast dataset. It achieves the following results on the evaluation set:

Loss: 0.3304
Mean Iou: 0.4794
Mean Accuracy: 0.6650
Overall Accuracy: 0.9144
Accuracy Water: nan
Accuracy Whitewater: 0.4315
Accuracy Sediment: 0.8895
Accuracy Other Natural Terrain: 0.0
Accuracy Vegetation: 0.8740
Accuracy Development: 0.8271
Accuracy Unknown: 0.9678
Iou Water: 0.0
Iou Whitewater: 0.2745
Iou Sediment: 0.7784
Iou Other Natural Terrain: 0.0
Iou Vegetation: 0.7930
Iou Development: 0.5438
Iou Unknown: 0.9658

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:

learning_rate: 6e-05
train_batch_size: 4
eval_batch_size: 4
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Mean Iou	Mean Accuracy	Overall Accuracy	Accuracy Water	Accuracy Whitewater	Accuracy Sediment	Accuracy Other Natural Terrain	Accuracy Vegetation	Accuracy Development	Accuracy Unknown	Iou Whitewater	Iou Sediment	Iou Other Natural Terrain	Iou Vegetation	Iou Development	Iou Unknown
1.5565	0.01	20	1.3796	0.2430	0.3551	0.7951	nan	0.0097	0.1349	0.0623	0.8407	0.1406	0.9421	0.0051	0.1067	0.0232	0.5193	0.1049	0.9414
1.7203	0.02	40	1.0580	0.2474	0.3601	0.8312	nan	0.0000	0.1687	0.0012	0.9812	0.0552	0.9541	0.0000	0.1594	0.0010	0.5662	0.0518	0.9534
1.5577	0.04	60	0.9417	0.2218	0.3312	0.8179	nan	0.0000	0.0330	0.0001	0.9915	0.0100	0.9525	0.0000	0.0323	0.0001	0.5585	0.0099	0.9517
0.8823	0.05	80	0.7899	0.2293	0.3345	0.8217	nan	0.0000	0.0599	0.0	0.9906	0.0011	0.9553	0.0000	0.0596	0.0	0.5903	0.0011	0.9538
1.2586	0.06	100	0.6372	0.2532	0.3440	0.8300	nan	0.0000	0.0981	0.0000	0.9697	0.0284	0.9679	0.0000	0.0971	0.0000	0.6818	0.0284	0.9653
1.5022	0.07	120	0.6110	0.2431	0.3372	0.8258	nan	0.0	0.0759	0.0	0.9823	0.0029	0.9619	0.0	0.0757	0.0	0.6633	0.0029	0.9599
0.7693	0.08	140	0.5468	0.2613	0.3416	0.8125	nan	0.0	0.2451	0.0	0.8389	0.0027	0.9628	0.0	0.2372	0.0	0.6285	0.0027	0.9606
1.6587	0.1	160	0.5876	0.2717	0.3736	0.8444	nan	0.0	0.3158	0.0	0.9600	0.0029	0.9628	0.0	0.3106	0.0	0.6272	0.0029	0.9609
1.259	0.11	180	0.5015	0.2883	0.3752	0.8292	nan	0.0	0.4727	0.0	0.7987	0.0120	0.9679	0.0	0.4317	0.0	0.6105	0.0120	0.9642
1.1834	0.12	200	0.5206	0.3021	0.4047	0.8628	nan	0.0	0.4986	0.0	0.9598	0.0051	0.9646	0.0	0.4515	0.0	0.6958	0.0051	0.9620
1.1998	0.13	220	0.5969	0.3095	0.4198	0.8740	nan	0.0	0.5619	0.0	0.9853	0.0075	0.9642	0.0	0.5167	0.0	0.6803	0.0075	0.9620
1.2329	0.15	240	0.4667	0.3146	0.4176	0.8629	nan	0.0	0.5946	0.0	0.9102	0.0359	0.9649	0.0	0.5137	0.0	0.6915	0.0348	0.9622
0.4256	0.16	260	0.4695	0.3513	0.4674	0.8878	nan	0.0	0.7239	0.0	0.9465	0.1678	0.9660	0.0	0.6265	0.0	0.7136	0.1548	0.9639
0.6354	0.17	280	0.4582	0.3651	0.4836	0.8773	nan	0.0	0.6636	0.0	0.8840	0.3866	0.9674	0.0	0.5882	0.0	0.6976	0.3052	0.9648
0.7103	0.18	300	0.4466	0.3736	0.5041	0.8699	nan	0.0	0.7149	0.0	0.8020	0.5409	0.9668	0.0	0.6068	0.0	0.6750	0.3693	0.9639
0.7022	0.19	320	0.4621	0.3560	0.4756	0.8796	nan	0.0	0.6003	0.0	0.9246	0.3601	0.9685	0.0	0.5370	0.0	0.7056	0.2843	0.9653
0.8337	0.21	340	0.4500	0.3678	0.4897	0.8754	nan	0.0	0.6673	0.0	0.8694	0.4355	0.9660	0.0	0.5735	0.0	0.7075	0.3300	0.9634
0.3512	0.22	360	0.4664	0.3630	0.4910	0.8783	nan	0.0	0.5888	0.0	0.8998	0.4880	0.9696	0.0	0.5302	0.0	0.7033	0.3433	0.9645
1.3383	0.23	380	0.5411	0.3447	0.4592	0.8802	nan	0.0	0.5990	0.0	0.9552	0.2349	0.9663	0.0	0.5463	0.0	0.7003	0.2027	0.9633
1.421	0.24	400	0.4386	0.3646	0.4884	0.8661	nan	0.0	0.6447	0.0	0.8233	0.4958	0.9668	0.0	0.5597	0.0	0.6861	0.3435	0.9631
0.5563	0.25	420	0.4313	0.3801	0.5625	0.8797	nan	0.0	0.7973	0.0	0.7520	0.8561	0.9697	0.0	0.6663	0.0	0.6742	0.3552	0.9652
0.6055	0.27	440	0.4203	0.3731	0.5480	0.8733	nan	0.0	0.7083	0.0	0.7656	0.8454	0.9690	0.0	0.6071	0.0	0.6947	0.3457	0.9645
1.0955	0.28	460	0.4412	0.3664	0.5119	0.8665	nan	0.0	0.6004	0.0	0.8418	0.6706	0.9587	0.0	0.5408	0.0	0.7123	0.3561	0.9554
0.9308	0.29	480	0.4208	0.3845	0.5381	0.8852	nan	0.0	0.7242	0.0	0.8578	0.6826	0.9637	0.0	0.6415	0.0	0.7161	0.3737	0.9600
0.3463	0.3	500	0.4321	0.3713	0.5160	0.8621	nan	0.0	0.6749	0.0	0.7632	0.6930	0.9652	0.0	0.5896	0.0	0.6635	0.3833	0.9627
0.8166	0.32	520	0.4851	0.3999	0.5399	0.8955	nan	0.0	0.7876	0.0	0.8940	0.5942	0.9633	0.0	0.7062	0.0	0.7290	0.4032	0.9609
0.5054	0.33	540	0.4328	0.3951	0.5256	0.8936	nan	0.0	0.7356	0.0	0.9243	0.5325	0.9614	0.0	0.6860	0.0	0.7262	0.3955	0.9579
0.316	0.34	560	0.3850	0.3985	0.5660	0.8957	nan	0.0	0.8014	0.0	0.8400	0.7855	0.9691	0.0	0.7180	0.0	0.7286	0.3782	0.9647
0.2616	0.35	580	0.3974	0.3831	0.5087	0.8852	nan	0.0	0.6365	0.0	0.9089	0.5391	0.9677	0.0	0.5653	0.0	0.7531	0.3995	0.9640
0.4969	0.36	600	0.4115	0.3849	0.5209	0.8738	nan	0.0	0.7301	0.0	0.8064	0.6238	0.9650	0.0	0.6141	0.0	0.7030	0.4155	0.9618
0.6554	0.38	620	0.3927	0.3997	0.5634	0.8927	nan	0.0	0.8489	0.0	0.8074	0.7544	0.9698	0.0	0.7254	0.0	0.7077	0.4004	0.9641
0.5096	0.39	640	0.4265	0.3833	0.5554	0.8772	nan	0.0	0.8562	0.0	0.7283	0.7792	0.9688	0.0	0.6714	0.0	0.6556	0.3905	0.9655
0.5453	0.4	660	0.4163	0.3830	0.5356	0.8763	nan	0.0	0.7352	0.0	0.8036	0.7106	0.9644	0.0	0.6194	0.0	0.6953	0.4040	0.9625
0.8522	0.41	680	0.3850	0.3859	0.5522	0.8779	nan	0.0	0.8238	0.0	0.7533	0.7690	0.9672	0.0	0.6587	0.0	0.6785	0.4009	0.9634
0.324	0.42	700	0.3980	0.3957	0.5386	0.8933	nan	0.0	0.7033	0.0	0.8982	0.6630	0.9674	0.0	0.6302	0.0	0.7372	0.4384	0.9644
0.6783	0.44	720	0.4155	0.3798	0.5332	0.8771	nan	0.0	0.6873	0.0	0.8122	0.7309	0.9689	0.0	0.5793	0.0	0.7058	0.4079	0.9656
0.6283	0.45	740	0.4053	0.3875	0.5179	0.8917	nan	0.0	0.6808	0.0	0.9207	0.5386	0.9674	0.0	0.6077	0.0	0.7409	0.3986	0.9649
0.831	0.46	760	0.3984	0.3850	0.5178	0.8838	nan	0.0	0.7712	0.0	0.8476	0.5216	0.9664	0.0	0.5900	0.0	0.7380	0.4044	0.9629
0.5993	0.47	780	0.4069	0.3891	0.5129	0.8961	nan	0.0	0.7348	0.0	0.9287	0.4453	0.9687	0.0	0.6417	0.0	0.7532	0.3632	0.9658
0.719	0.49	800	0.3856	0.4053	0.5597	0.9006	nan	0.0	0.8377	0.0	0.8641	0.6875	0.9688	0.0	0.7007	0.0	0.7423	0.4286	0.9657
0.4896	0.5	820	0.3741	0.4033	0.5511	0.8982	nan	0.0	0.7926	0.0	0.8730	0.6715	0.9697	0.0	0.6861	0.0	0.7405	0.4302	0.9662
0.5632	0.51	840	0.4503	0.4085	0.5607	0.9069	nan	0.0	0.8602	0.0	0.8788	0.6530	0.9724	0.0	0.7133	0.0	0.7441	0.4355	0.9664
0.2878	0.52	860	0.4594	0.3772	0.4928	0.8637	nan	0.0	0.5859	0.0	0.8246	0.5792	0.9668	0.0	0.5066	0.0	0.7162	0.4538	0.9639
0.5433	0.53	880	0.3916	0.3899	0.5519	0.8832	nan	0.0	0.7655	0.0	0.8304	0.7561	0.9596	0.0	0.6246	0.0	0.7277	0.4197	0.9571
1.1254	0.55	900	0.3724	0.4012	0.5588	0.8989	nan	0.0	0.8798	0.0	0.8445	0.6612	0.9676	0.0	0.6859	0.0	0.7355	0.4222	0.9645
0.3224	0.56	920	0.3896	0.3832	0.5236	0.8848	nan	0.0	0.6800	0.0	0.8722	0.6211	0.9682	0.0	0.5748	0.0	0.7403	0.4029	0.9642
0.5332	0.57	940	0.4089	0.3939	0.5357	0.9015	nan	0.0	0.7886	0.0	0.9190	0.5394	0.9673	0.0	0.6730	0.0	0.7391	0.3803	0.9647
0.5894	0.58	960	0.3700	0.3927	0.5405	0.8839	nan	0.0	0.7708	0.0	0.8235	0.6824	0.9660	0.0	0.6556	0.0	0.7161	0.4163	0.9612
1.036	0.59	980	0.3671	0.3944	0.5432	0.8837	nan	0.0	0.7763	0.0	0.8179	0.6990	0.9658	0.0	0.6802	0.0	0.7127	0.4058	0.9623
1.5145	0.61	1000	0.3916	0.3965	0.5456	0.8958	nan	0.0	0.7867	0.0	0.8846	0.6375	0.9647	0.0	0.7018	0.0	0.7190	0.3925	0.9624
0.4625	0.62	1020	0.3603	0.4067	0.5496	0.9010	nan	0.0	0.8180	0.0	0.8992	0.6160	0.9646	0.0	0.7095	0.0	0.7525	0.4239	0.9608
0.3804	0.63	1040	0.4219	0.3928	0.5328	0.8789	nan	0.0	0.8239	0.0	0.7882	0.6196	0.9652	0.0	0.6778	0.0	0.6963	0.4115	0.9637
0.1372	0.64	1060	0.3774	0.4034	0.5582	0.8978	nan	0.0	0.8729	0.0	0.8348	0.6721	0.9696	0.0	0.7169	0.0	0.7231	0.4186	0.9653
0.4438	0.65	1080	0.3409	0.4042	0.5501	0.8971	nan	0.0	0.7877	0.0	0.8704	0.6733	0.9694	0.0	0.6900	0.0	0.7509	0.4241	0.9648
0.3661	0.67	1100	0.3662	0.3994	0.5728	0.8936	nan	0.0039	0.8665	0.0	0.7975	0.7998	0.9693	0.0039	0.7029	0.0	0.7202	0.4038	0.9651
0.3783	0.68	1120	0.3625	0.4003	0.5673	0.8893	nan	0.0	0.8860	0.0	0.7856	0.7669	0.9654	0.0	0.7155	0.0	0.7166	0.4074	0.9628
0.3344	0.69	1140	0.3889	0.4142	0.5535	0.9062	nan	0.0	0.8531	0.0	0.9107	0.5919	0.9651	0.0	0.7437	0.0	0.7598	0.4330	0.9628
0.448	0.7	1160	0.3701	0.3875	0.5226	0.8774	nan	0.0	0.6806	0.0	0.8287	0.6578	0.9688	0.0	0.5996	0.0	0.7207	0.4273	0.9648
0.5724	0.72	1180	0.3466	0.4074	0.5587	0.8998	nan	0.0000	0.8195	0.0	0.8653	0.6982	0.9692	0.0000	0.7289	0.0	0.7380	0.4198	0.9648
0.2868	0.73	1200	0.3369	0.4088	0.5653	0.8956	nan	0.0005	0.8380	0.0	0.8254	0.7584	0.9697	0.0005	0.7145	0.0	0.7399	0.4414	0.9652
1.2485	0.74	1220	0.3480	0.4120	0.5639	0.9023	nan	0.0079	0.8643	0.0	0.8543	0.6865	0.9706	0.0079	0.7086	0.0	0.7548	0.4469	0.9659
0.6551	0.75	1240	0.3791	0.4219	0.5591	0.9145	nan	0.0048	0.8977	0.0	0.9139	0.5662	0.9718	0.0048	0.7367	0.0	0.7844	0.4620	0.9651
0.2599	0.76	1260	0.4596	0.3694	0.5736	0.8698	nan	0.0001	0.9234	0.0	0.6502	0.9018	0.9664	0.0001	0.6060	0.0	0.6179	0.3974	0.9644
0.4005	0.78	1280	0.3520	0.4018	0.5566	0.8965	nan	0.0076	0.7654	0.0	0.8698	0.7278	0.9690	0.0076	0.6936	0.0	0.7161	0.4306	0.9648
0.4001	0.79	1300	0.3456	0.4070	0.5543	0.8977	nan	0.0001	0.7549	0.0	0.8813	0.7203	0.9692	0.0001	0.6933	0.0	0.7277	0.4620	0.9658
0.9039	0.8	1320	0.3889	0.4112	0.5790	0.8984	nan	0.0006	0.8918	0.0	0.8236	0.7933	0.9650	0.0006	0.7323	0.0	0.7349	0.4479	0.9626
0.6388	0.81	1340	0.4108	0.4121	0.5752	0.9051	nan	0.0001	0.8354	0.0	0.8712	0.7752	0.9692	0.0001	0.7325	0.0	0.7351	0.4512	0.9655
0.3616	0.82	1360	0.4138	0.4221	0.5638	0.9099	nan	0.0	0.8630	0.0	0.9119	0.6414	0.9664	0.0	0.7581	0.0	0.7689	0.4631	0.9646
0.2287	0.84	1380	0.3833	0.4229	0.5762	0.9055	nan	0.0000	0.8940	0.0	0.8637	0.7335	0.9658	0.0000	0.7658	0.0	0.7545	0.4779	0.9620
0.2687	0.85	1400	0.3732	0.4287	0.5666	0.9118	nan	0.0000	0.8972	0.0	0.9157	0.6226	0.9641	0.0000	0.7764	0.0	0.7815	0.4814	0.9618
0.3827	0.86	1420	0.3344	0.4176	0.5816	0.9030	nan	0.0	0.8511	0.0	0.8537	0.8177	0.9671	0.0	0.7452	0.0	0.7485	0.4653	0.9641
1.1798	0.87	1440	0.3485	0.4198	0.5742	0.9089	nan	0.0002	0.8352	0.0	0.8893	0.7500	0.9705	0.0002	0.7491	0.0	0.7514	0.4729	0.9653
0.5062	0.89	1460	0.3882	0.4145	0.5766	0.9028	nan	0.0013	0.8817	0.0	0.8337	0.7717	0.9712	0.0013	0.7656	0.0	0.7303	0.4389	0.9656
0.2002	0.9	1480	0.3677	0.4167	0.5785	0.9005	nan	0.0001	0.8674	0.0	0.8450	0.7934	0.9649	0.0001	0.7513	0.0	0.7391	0.4645	0.9620
0.1993	0.91	1500	0.3801	0.4240	0.5584	0.9134	nan	0.0000	0.8673	0.0	0.9311	0.5842	0.9680	0.0000	0.7626	0.0	0.7714	0.4687	0.9653
0.2609	0.92	1520	0.3489	0.4199	0.5475	0.9084	nan	0.0001	0.8222	0.0	0.9304	0.5642	0.9682	0.0001	0.7412	0.0	0.7755	0.4568	0.9657
0.4571	0.93	1540	0.3767	0.4218	0.5832	0.9040	nan	0.0372	0.8298	0.0	0.8774	0.7894	0.9651	0.0365	0.7505	0.0	0.7451	0.4583	0.9621
0.5643	0.95	1560	0.3707	0.4220	0.5848	0.9027	nan	0.0187	0.8455	0.0	0.8446	0.8307	0.9695	0.0186	0.7506	0.0	0.7459	0.4715	0.9670
0.2607	0.96	1580	0.3601	0.4304	0.5782	0.9099	nan	0.0119	0.8665	0.0	0.8921	0.7312	0.9675	0.0118	0.7565	0.0	0.7761	0.5029	0.9652
0.2481	0.97	1600	0.3817	0.4281	0.5952	0.9043	nan	0.0346	0.8954	0.0	0.8582	0.8225	0.9604	0.0342	0.7426	0.0	0.7691	0.4917	0.9589
0.1986	0.98	1620	0.3817	0.4475	0.5988	0.9135	nan	0.1260	0.8537	0.0	0.9194	0.7288	0.9651	0.1246	0.7532	0.0	0.7756	0.5166	0.9626
0.455	0.99	1640	0.3812	0.4526	0.5958	0.9144	nan	0.1518	0.8918	0.0	0.9239	0.6439	0.9636	0.1467	0.7665	0.0	0.7888	0.5058	0.9602
0.4941	1.01	1660	0.3751	0.4389	0.6153	0.9094	nan	0.1142	0.9261	0.0	0.8391	0.8440	0.9682	0.1110	0.7601	0.0	0.7621	0.4737	0.9652
0.2446	1.02	1680	0.3794	0.4389	0.5817	0.9136	nan	0.0160	0.9137	0.0	0.8883	0.7034	0.9689	0.0160	0.7765	0.0	0.7870	0.5264	0.9664
0.3996	1.03	1700	0.3408	0.4193	0.5478	0.9004	nan	0.0060	0.7699	0.0	0.8999	0.6419	0.9691	0.0060	0.6761	0.0	0.7813	0.5054	0.9660
0.6762	1.04	1720	0.3653	0.4203	0.5646	0.8983	nan	0.0554	0.7069	0.0	0.8982	0.7581	0.9691	0.0550	0.6118	0.0	0.7905	0.5192	0.9658
0.3445	1.06	1740	0.3179	0.4460	0.6063	0.9131	nan	0.1284	0.8453	0.0	0.8960	0.7983	0.9697	0.1275	0.7422	0.0	0.7797	0.5068	0.9658
0.5238	1.07	1760	0.3420	0.4456	0.6022	0.9178	nan	0.0626	0.9129	0.0	0.8955	0.7732	0.9692	0.0616	0.7810	0.0	0.7931	0.5180	0.9658
0.4666	1.08	1780	0.3410	0.4379	0.5994	0.9099	nan	0.0695	0.8674	0.0	0.8796	0.8136	0.9666	0.0678	0.7510	0.0	0.7786	0.5035	0.9645
0.1126	1.09	1800	0.3464	0.4383	0.6157	0.9101	nan	0.1208	0.8865	0.0	0.8516	0.8653	0.9700	0.1180	0.7454	0.0	0.7670	0.4711	0.9664
0.7935	1.1	1820	0.3999	0.4382	0.5737	0.9179	nan	0.0529	0.8790	0.0	0.9439	0.5984	0.9679	0.0528	0.7719	0.0	0.7874	0.4906	0.9650
0.6014	1.12	1840	0.3176	0.4707	0.6222	0.9193	nan	0.2149	0.8795	0.0	0.9128	0.7558	0.9702	0.2033	0.7731	0.0	0.7938	0.5591	0.9653
1.1728	1.13	1860	0.3165	0.4715	0.6205	0.9205	nan	0.2344	0.8965	0.0	0.9165	0.7044	0.9709	0.2151	0.7453	0.0	0.8097	0.5650	0.9654
0.1275	1.14	1880	0.3705	0.4586	0.5965	0.9140	nan	0.2139	0.8187	0.0	0.9455	0.6344	0.9666	0.2070	0.7223	0.0	0.7887	0.5277	0.9649
0.2179	1.15	1900	0.3268	0.4608	0.6240	0.9126	nan	0.2176	0.8507	0.0	0.8910	0.8165	0.9679	0.2054	0.7202	0.0	0.7888	0.5454	0.9656
0.1725	1.16	1920	0.3277	0.4655	0.6146	0.9203	nan	0.1809	0.8656	0.0	0.9297	0.7422	0.9693	0.1753	0.7456	0.0	0.8099	0.5610	0.9667
0.3003	1.18	1940	0.3347	0.4741	0.6311	0.9203	nan	0.2239	0.8903	0.0	0.9079	0.7951	0.9696	0.2144	0.7493	0.0	0.8067	0.5815	0.9669
0.4764	1.19	1960	0.3413	0.4478	0.6279	0.9079	nan	0.1854	0.9016	0.0	0.8339	0.8779	0.9687	0.1690	0.7441	0.0	0.7655	0.4897	0.9663
0.1679	1.2	1980	0.3516	0.4473	0.5798	0.9191	nan	0.0754	0.8674	0.0	0.9466	0.6204	0.9692	0.0724	0.7752	0.0	0.7993	0.5181	0.9660
0.1999	1.21	2000	0.3341	0.4721	0.6457	0.9175	nan	0.2688	0.8973	0.0	0.8822	0.8568	0.9688	0.2286	0.7781	0.0	0.7962	0.5359	0.9662
0.8992	1.22	2020	0.3121	0.4757	0.6409	0.9179	nan	0.2915	0.8910	0.0	0.8935	0.8000	0.9695	0.2634	0.7798	0.0	0.7856	0.5347	0.9661
0.7007	1.24	2040	0.3041	0.4618	0.6127	0.9128	nan	0.1999	0.8653	0.0	0.8950	0.7474	0.9685	0.1702	0.7512	0.0	0.7931	0.5532	0.9647
0.5711	1.25	2060	0.3104	0.4758	0.6277	0.9190	nan	0.2760	0.8877	0.0	0.9128	0.7196	0.9699	0.2357	0.7700	0.0	0.8006	0.5579	0.9666
0.7925	1.26	2080	0.3465	0.4605	0.6418	0.9091	nan	0.2878	0.8570	0.0	0.8532	0.8831	0.9696	0.2437	0.7217	0.0	0.7779	0.5136	0.9670
0.1759	1.27	2100	0.3406	0.4619	0.6235	0.9078	nan	0.2492	0.8230	0.0	0.8719	0.8272	0.9698	0.2157	0.6976	0.0	0.7884	0.5655	0.9663
0.6914	1.29	2120	0.3209	0.4694	0.6229	0.9168	nan	0.2340	0.8629	0.0	0.9024	0.7665	0.9713	0.2126	0.7390	0.0	0.8017	0.5650	0.9672
0.1292	1.3	2140	0.3151	0.4735	0.6349	0.9147	nan	0.2670	0.8724	0.0	0.8983	0.8062	0.9657	0.2358	0.7487	0.0	0.8011	0.5662	0.9625
0.5439	1.31	2160	0.3343	0.4617	0.6058	0.9133	nan	0.2228	0.7989	0.0	0.9340	0.7110	0.9681	0.2091	0.7154	0.0	0.7958	0.5458	0.9660
0.5949	1.32	2180	0.3260	0.4561	0.6419	0.9072	nan	0.3080	0.8721	0.0	0.8355	0.8650	0.9709	0.2166	0.7527	0.0	0.7632	0.4930	0.9670
0.9366	1.33	2200	0.3182	0.4748	0.6430	0.9190	nan	0.2967	0.9100	0.0	0.8864	0.7941	0.9710	0.2381	0.7813	0.0	0.7926	0.5446	0.9669
0.4478	1.35	2220	0.3531	0.4596	0.5997	0.9223	nan	0.1622	0.8843	0.0	0.9456	0.6361	0.9703	0.1565	0.7919	0.0	0.7921	0.5099	0.9670
0.2858	1.36	2240	0.3627	0.4607	0.6228	0.9173	nan	0.1578	0.8976	0.0	0.8883	0.8239	0.9694	0.1500	0.7902	0.0	0.7738	0.5443	0.9666
0.4923	1.37	2260	0.3367	0.4498	0.6047	0.9082	nan	0.1380	0.8348	0.0	0.8814	0.8063	0.9678	0.1299	0.7364	0.0	0.7740	0.5442	0.9638
0.1323	1.38	2280	0.3380	0.4515	0.6301	0.9084	nan	0.1971	0.8926	0.0	0.8345	0.8863	0.9700	0.1751	0.7494	0.0	0.7577	0.5118	0.9668
0.3126	1.39	2300	0.3519	0.4753	0.6187	0.9234	nan	0.2345	0.8849	0.0	0.9471	0.6770	0.9686	0.2226	0.7876	0.0	0.7971	0.5533	0.9662
1.8741	1.41	2320	0.3483	0.4766	0.6352	0.9194	nan	0.2550	0.8999	0.0	0.9013	0.7856	0.9691	0.2242	0.7747	0.0	0.7957	0.5761	0.9656
0.3519	1.42	2340	0.3390	0.4794	0.6391	0.9205	nan	0.2594	0.8966	0.0	0.9017	0.8068	0.9700	0.2378	0.7732	0.0	0.7951	0.5829	0.9671
0.4777	1.43	2360	0.3234	0.4707	0.6410	0.9149	nan	0.2605	0.8687	0.0	0.8787	0.8681	0.9698	0.2422	0.7715	0.0	0.7784	0.5358	0.9670
0.7156	1.44	2380	0.3451	0.4794	0.6418	0.9201	nan	0.2929	0.8798	0.0	0.9094	0.7995	0.9694	0.2575	0.7733	0.0	0.7918	0.5663	0.9670
0.3765	1.46	2400	0.3339	0.4639	0.6238	0.9133	nan	0.2550	0.8921	0.0	0.8805	0.7455	0.9696	0.1751	0.7569	0.0	0.7919	0.5564	0.9669
0.4343	1.47	2420	0.3374	0.4630	0.6168	0.9135	nan	0.2179	0.8541	0.0	0.9035	0.7576	0.9678	0.1775	0.7531	0.0	0.7934	0.5515	0.9658
0.2178	1.48	2440	0.3254	0.4825	0.6499	0.9219	nan	0.3424	0.8816	0.0	0.9140	0.7912	0.9704	0.2639	0.7733	0.0	0.8027	0.5707	0.9669
0.1439	1.49	2460	0.3176	0.4752	0.6409	0.9175	nan	0.2942	0.8787	0.0	0.8935	0.8089	0.9702	0.2160	0.7786	0.0	0.7978	0.5673	0.9664
0.2481	1.5	2480	0.3195	0.4773	0.6265	0.9190	nan	0.2645	0.8625	0.0	0.9263	0.7376	0.9683	0.2089	0.7689	0.0	0.8083	0.5890	0.9658
0.9347	1.52	2500	0.3430	0.4789	0.6464	0.9207	nan	0.3009	0.8885	0.0	0.9029	0.8159	0.9702	0.2626	0.7724	0.0	0.7975	0.5528	0.9670
0.1827	1.53	2520	0.3459	0.4726	0.6328	0.9181	nan	0.2484	0.9093	0.0	0.8921	0.7775	0.9692	0.2042	0.7741	0.0	0.7998	0.5643	0.9662
0.3971	1.54	2540	0.3276	0.4661	0.6353	0.9144	nan	0.2600	0.8791	0.0	0.8777	0.8247	0.9700	0.2198	0.7730	0.0	0.7785	0.5249	0.9663
0.173	1.55	2560	0.3109	0.4591	0.6419	0.9093	nan	0.2986	0.8694	0.0	0.8536	0.8611	0.9690	0.2176	0.7731	0.0	0.7626	0.4941	0.9662
0.2705	1.56	2580	0.3112	0.4632	0.6178	0.9101	nan	0.2942	0.8141	0.0	0.9057	0.7240	0.9687	0.2203	0.7423	0.0	0.7818	0.5318	0.9661
0.2656	1.58	2600	0.3331	0.4806	0.6427	0.9202	nan	0.3186	0.8837	0.0	0.9166	0.7691	0.9680	0.2634	0.7761	0.0	0.7986	0.5600	0.9661
0.9206	1.59	2620	0.3247	0.4688	0.6290	0.9162	nan	0.3530	0.8646	0.0	0.9130	0.6725	0.9706	0.2167	0.7747	0.0	0.7877	0.5357	0.9667
0.6181	1.6	2640	0.4032	0.4888	0.6638	0.9239	nan	0.3722	0.9134	0.0	0.9041	0.8231	0.9701	0.3080	0.7774	0.0	0.8039	0.5652	0.9668
0.3185	1.61	2660	0.3383	0.4705	0.6598	0.9145	nan	0.3341	0.9161	0.0	0.8448	0.8926	0.9711	0.2860	0.7681	0.0	0.7732	0.4997	0.9667
0.2155	1.63	2680	0.3389	0.4639	0.6447	0.9109	nan	0.3037	0.8741	0.0	0.8593	0.8625	0.9689	0.2608	0.7573	0.0	0.7696	0.4933	0.9664
0.2003	1.64	2700	0.3230	0.4649	0.6588	0.9112	nan	0.3442	0.8983	0.0	0.8350	0.9045	0.9710	0.2818	0.7704	0.0	0.7626	0.4723	0.9672
0.1279	1.65	2720	0.3241	0.4747	0.6489	0.9163	nan	0.3240	0.8760	0.0	0.8863	0.8379	0.9693	0.2713	0.7729	0.0	0.7876	0.5243	0.9666
1.5163	1.66	2740	0.3286	0.4822	0.6409	0.9182	nan	0.3422	0.8431	0.0	0.9203	0.7703	0.9694	0.2859	0.7533	0.0	0.7992	0.5702	0.9667
0.5542	1.67	2760	0.3147	0.4774	0.6336	0.9157	nan	0.3563	0.8646	0.0	0.9065	0.7039	0.9702	0.2631	0.7649	0.0	0.7932	0.5544	0.9664
0.343	1.69	2780	0.3632	0.4858	0.6494	0.9212	nan	0.3345	0.8857	0.0	0.9134	0.7937	0.9689	0.2855	0.7758	0.0	0.7975	0.5756	0.9665
0.4835	1.7	2800	0.3339	0.4753	0.6437	0.9181	nan	0.2891	0.8746	0.0	0.8945	0.8339	0.9703	0.2399	0.7766	0.0	0.7894	0.5538	0.9670
0.1818	1.71	2820	0.3292	0.4655	0.6247	0.9133	nan	0.2390	0.8420	0.0	0.8972	0.8010	0.9688	0.1741	0.7599	0.0	0.7941	0.5642	0.9664
0.9569	1.72	2840	0.3529	0.4755	0.6446	0.9220	nan	0.2926	0.8872	0.0	0.9090	0.8079	0.9709	0.2297	0.7690	0.0	0.8052	0.5572	0.9672
0.1522	1.73	2860	0.3493	0.4606	0.6375	0.9130	nan	0.2946	0.8384	0.0	0.8860	0.8360	0.9702	0.2283	0.7457	0.0	0.7715	0.5112	0.9675
0.1661	1.75	2880	0.3477	0.4546	0.6333	0.9095	nan	0.2724	0.8481	0.0	0.8671	0.8428	0.9693	0.2106	0.7487	0.0	0.7711	0.4853	0.9667
0.2484	1.76	2900	0.3435	0.4515	0.6292	0.9050	nan	0.2757	0.8926	0.0	0.8347	0.8039	0.9683	0.1935	0.7419	0.0	0.7619	0.4975	0.9658
0.1391	1.77	2920	0.3083	0.4621	0.6332	0.9138	nan	0.3116	0.8488	0.0	0.8965	0.7730	0.9696	0.2033	0.7516	0.0	0.7920	0.5213	0.9666
0.1363	1.78	2940	0.3371	0.4638	0.6463	0.9110	nan	0.3354	0.8500	0.0	0.8745	0.8501	0.9679	0.2511	0.7327	0.0	0.7852	0.5121	0.9656
0.3563	1.8	2960	0.3271	0.4584	0.6325	0.9096	nan	0.2815	0.8248	0.0	0.8714	0.8465	0.9711	0.2268	0.7214	0.0	0.7805	0.5133	0.9670
0.7689	1.81	2980	0.3054	0.4593	0.6192	0.9096	nan	0.2350	0.8486	0.0	0.8729	0.7878	0.9708	0.1854	0.7343	0.0	0.7904	0.5387	0.9664
0.333	1.82	3000	0.3318	0.4715	0.6438	0.9178	nan	0.2849	0.8976	0.0	0.8858	0.8248	0.9698	0.2529	0.7470	0.0	0.7938	0.5400	0.9669
0.0664	1.83	3020	0.3174	0.4616	0.6548	0.9101	nan	0.3318	0.8963	0.0	0.8294	0.8993	0.9718	0.2594	0.7513	0.0	0.7654	0.4884	0.9670
0.5802	1.84	3040	0.3003	0.4694	0.6533	0.9138	nan	0.3512	0.8930	0.0	0.8604	0.8446	0.9707	0.2368	0.7722	0.0	0.7820	0.5277	0.9668
0.158	1.86	3060	0.2986	0.4762	0.6403	0.9197	nan	0.3481	0.8854	0.0	0.9133	0.7247	0.9701	0.2633	0.7703	0.0	0.7969	0.5362	0.9669
0.1517	1.87	3080	0.3548	0.4843	0.6427	0.9240	nan	0.4025	0.8833	0.0	0.9451	0.6554	0.9699	0.3066	0.7910	0.0	0.7953	0.5295	0.9675
0.5864	1.88	3100	0.3026	0.4797	0.6438	0.9193	nan	0.3682	0.8682	0.0	0.9130	0.7426	0.9709	0.2850	0.7875	0.0	0.7846	0.5333	0.9676
0.4852	1.89	3120	0.3118	0.4811	0.6588	0.9188	nan	0.3660	0.8840	0.0	0.8897	0.8429	0.9703	0.2981	0.7871	0.0	0.7857	0.5299	0.9672
0.2932	1.9	3140	0.2926	0.4920	0.6502	0.9245	nan	0.3744	0.8931	0.0	0.9253	0.7370	0.9717	0.3025	0.7904	0.0	0.8108	0.5731	0.9675
0.2021	1.92	3160	0.3038	0.4779	0.6211	0.9178	nan	0.3510	0.8491	0.0	0.9417	0.6159	0.9689	0.2831	0.7536	0.0	0.8076	0.5351	0.9663
0.3806	1.93	3180	0.3182	0.4760	0.6492	0.9141	nan	0.3445	0.8570	0.0	0.8832	0.8411	0.9692	0.2641	0.7392	0.0	0.7967	0.5651	0.9670
0.1496	1.94	3200	0.3361	0.4753	0.6422	0.9156	nan	0.3138	0.9011	0.0	0.8849	0.7859	0.9678	0.2435	0.7803	0.0	0.7946	0.5434	0.9651
0.0671	1.95	3220	0.3265	0.4742	0.6578	0.9147	nan	0.3656	0.8798	0.0	0.8741	0.8584	0.9687	0.2816	0.7842	0.0	0.7832	0.5041	0.9659
0.15	1.96	3240	0.3244	0.4739	0.6427	0.9158	nan	0.3541	0.8804	0.0	0.8972	0.7564	0.9682	0.2528	0.7590	0.0	0.7978	0.5417	0.9660
0.1933	1.98	3260	0.3516	0.4773	0.6542	0.9174	nan	0.3953	0.9202	0.0	0.8821	0.7583	0.9693	0.2658	0.7510	0.0	0.8026	0.5550	0.9665
0.1333	1.99	3280	0.3080	0.4830	0.6444	0.9189	nan	0.3587	0.9054	0.0	0.9009	0.7318	0.9695	0.3008	0.7536	0.0	0.8027	0.5574	0.9667
0.1016	2.0	3300	0.3048	0.4824	0.6479	0.9180	nan	0.3595	0.8686	0.0	0.9005	0.7879	0.9707	0.3022	0.7380	0.0	0.8046	0.5642	0.9675
0.3692	2.01	3320	0.3021	0.4761	0.6468	0.9144	nan	0.3537	0.8509	0.0	0.8868	0.8186	0.9706	0.2802	0.7268	0.0	0.8011	0.5570	0.9672
0.8706	2.03	3340	0.3320	0.4796	0.6430	0.9199	nan	0.3116	0.9048	0.0	0.8987	0.7727	0.9701	0.2747	0.7327	0.0	0.8107	0.5718	0.9674
0.3265	2.04	3360	0.3169	0.4765	0.6552	0.9168	nan	0.3639	0.9043	0.0	0.8762	0.8171	0.9698	0.2622	0.7622	0.0	0.7963	0.5480	0.9671
0.1013	2.05	3380	0.3117	0.4774	0.6759	0.9165	nan	0.4382	0.9000	0.0	0.8647	0.8830	0.9696	0.2732	0.7770	0.0	0.7877	0.5370	0.9668
0.2655	2.06	3400	0.3157	0.4852	0.6580	0.9201	nan	0.3775	0.8841	0.0	0.9011	0.8152	0.9698	0.3075	0.7750	0.0	0.7963	0.5505	0.9673
0.321	2.07	3420	0.2988	0.4807	0.6601	0.9180	nan	0.3850	0.8639	0.0	0.8911	0.8497	0.9709	0.2850	0.7833	0.0	0.7893	0.5400	0.9673
0.1012	2.09	3440	0.3125	0.4939	0.6538	0.9251	nan	0.3966	0.8959	0.0	0.9308	0.7287	0.9706	0.3223	0.7911	0.0	0.8092	0.5669	0.9676
0.412	2.1	3460	0.3296	0.4815	0.6585	0.9182	nan	0.3481	0.9184	0.0	0.8726	0.8417	0.9701	0.2909	0.7612	0.0	0.7971	0.5547	0.9666
0.1383	2.11	3480	0.3082	0.4884	0.6540	0.9225	nan	0.3569	0.9140	0.0	0.9056	0.7776	0.9699	0.2999	0.7737	0.0	0.8086	0.5698	0.9665
0.1925	2.12	3500	0.3206	0.4821	0.6536	0.9182	nan	0.3449	0.9109	0.0	0.8844	0.8124	0.9688	0.2829	0.7721	0.0	0.7977	0.5564	0.9659
0.6483	2.13	3520	0.3155	0.4756	0.6540	0.9136	nan	0.3536	0.8712	0.0	0.8698	0.8595	0.9697	0.2857	0.7718	0.0	0.7790	0.5269	0.9660
0.4534	2.15	3540	0.3218	0.4792	0.6513	0.9170	nan	0.3516	0.9113	0.0	0.8804	0.7955	0.9690	0.2800	0.7792	0.0	0.7901	0.5392	0.9657
0.1899	2.16	3560	0.3131	0.4741	0.6607	0.9143	nan	0.3562	0.9017	0.0	0.8519	0.8837	0.9708	0.2942	0.7720	0.0	0.7761	0.5095	0.9666
0.6685	2.17	3580	0.3230	0.4836	0.6603	0.9195	nan	0.3811	0.9106	0.0	0.8880	0.8125	0.9694	0.3074	0.7791	0.0	0.7905	0.5417	0.9664
0.1743	2.18	3600	0.3060	0.4764	0.6571	0.9157	nan	0.3722	0.9087	0.0	0.8655	0.8258	0.9704	0.2614	0.7796	0.0	0.7862	0.5412	0.9661
0.2988	2.2	3620	0.3150	0.4883	0.6569	0.9234	nan	0.3869	0.8954	0.0	0.9154	0.7728	0.9709	0.2894	0.7913	0.0	0.8052	0.5647	0.9671
0.199	2.21	3640	0.3073	0.4799	0.6563	0.9205	nan	0.3823	0.9094	0.0	0.8966	0.7794	0.9700	0.2462	0.7752	0.0	0.8058	0.5652	0.9668
0.356	2.22	3660	0.3088	0.4787	0.6539	0.9202	nan	0.3759	0.8945	0.0	0.9014	0.7813	0.9701	0.2406	0.7759	0.0	0.8051	0.5631	0.9663
1.2003	2.23	3680	0.3037	0.4829	0.6551	0.9212	nan	0.4053	0.8855	0.0	0.9139	0.7558	0.9701	0.2744	0.7755	0.0	0.8075	0.5561	0.9666
0.1801	2.24	3700	0.3155	0.4837	0.6570	0.9202	nan	0.4074	0.8924	0.0	0.9082	0.7655	0.9688	0.3066	0.7867	0.0	0.7995	0.5269	0.9664
0.2767	2.26	3720	0.3365	0.4783	0.6767	0.9163	nan	0.4490	0.9065	0.0000	0.8610	0.8735	0.9699	0.2931	0.7931	0.0000	0.7863	0.5086	0.9666
0.2641	2.27	3740	0.3103	0.4783	0.6719	0.9153	nan	0.4315	0.8901	0.0	0.8631	0.8765	0.9700	0.2993	0.7883	0.0	0.7826	0.5114	0.9668
0.7382	2.28	3760	0.3684	0.4819	0.6608	0.9156	nan	0.3913	0.8903	0.0	0.8832	0.8335	0.9667	0.3122	0.7635	0.0	0.7916	0.5410	0.9651
0.1887	2.29	3780	0.3380	0.4850	0.6672	0.9190	nan	0.3872	0.9062	0.0	0.8795	0.8607	0.9693	0.3182	0.7798	0.0	0.7920	0.5385	0.9668
0.4301	2.3	3800	0.3126	0.4902	0.6655	0.9219	nan	0.4399	0.8957	0.0	0.9040	0.7823	0.9711	0.3320	0.7915	0.0	0.7986	0.5423	0.9673
0.0796	2.32	3820	0.3078	0.4931	0.6700	0.9231	nan	0.4574	0.8945	0.0	0.9082	0.7887	0.9712	0.3244	0.7902	0.0	0.8045	0.5654	0.9673
0.5856	2.33	3840	0.3280	0.4860	0.6739	0.9186	nan	0.4448	0.8992	0.0	0.8803	0.8492	0.9697	0.3209	0.7944	0.0	0.7874	0.5328	0.9665
0.3133	2.34	3860	0.3306	0.4901	0.6625	0.9220	nan	0.4158	0.8912	0.0	0.9104	0.7877	0.9698	0.3321	0.7919	0.0	0.7933	0.5461	0.9669
0.1759	2.35	3880	0.3318	0.4893	0.6707	0.9209	nan	0.4327	0.9019	0.0	0.8910	0.8278	0.9705	0.3309	0.7941	0.0	0.7933	0.5402	0.9669
0.2173	2.37	3900	0.3227	0.4842	0.6738	0.9186	nan	0.4241	0.9066	0.0	0.8627	0.8765	0.9731	0.3222	0.7925	0.0	0.7836	0.5238	0.9670
0.3338	2.38	3920	0.3146	0.4892	0.6725	0.9208	nan	0.4330	0.8966	0.0	0.8909	0.8443	0.9704	0.3364	0.7922	0.0	0.7910	0.5381	0.9671
0.1098	2.39	3940	0.3051	0.4850	0.6648	0.9186	nan	0.4086	0.9006	0.0	0.8823	0.8271	0.9703	0.2986	0.7912	0.0	0.7915	0.5466	0.9668
0.2892	2.4	3960	0.3277	0.4914	0.6582	0.9235	nan	0.4131	0.9019	0.0	0.9224	0.7429	0.9691	0.3010	0.7897	0.0	0.8109	0.5718	0.9666
0.7496	2.41	3980	0.3239	0.4799	0.6699	0.9166	nan	0.4203	0.9044	0.0000	0.8701	0.8556	0.9690	0.2835	0.7871	0.0000	0.7897	0.5325	0.9666
0.1267	2.43	4000	0.3030	0.4849	0.6719	0.9188	nan	0.4334	0.8752	0.0	0.8889	0.8636	0.9700	0.3219	0.7904	0.0	0.7879	0.5268	0.9670
0.1651	2.44	4020	0.3301	0.4801	0.6728	0.9161	nan	0.4176	0.8973	0.0	0.8652	0.8877	0.9692	0.2969	0.7938	0.0	0.7830	0.5201	0.9669
0.3399	2.45	4040	0.3104	0.4728	0.6705	0.9147	nan	0.4008	0.8929	0.0000	0.8517	0.9064	0.9712	0.2694	0.7927	0.0000	0.7785	0.5023	0.9669
0.399	2.46	4060	0.2932	0.4825	0.6653	0.9207	nan	0.4182	0.8889	0.0000	0.8964	0.8174	0.9711	0.2890	0.7885	0.0000	0.7953	0.5376	0.9672
0.1291	2.47	4080	0.3093	0.4793	0.6726	0.9178	nan	0.4242	0.8888	0.0	0.8791	0.8745	0.9691	0.2900	0.7911	0.0	0.7879	0.5195	0.9669
0.0833	2.49	4100	0.3038	0.4784	0.6705	0.9162	nan	0.4206	0.8873	0.0000	0.8697	0.8757	0.9699	0.2837	0.7942	0.0000	0.7854	0.5195	0.9664
0.4351	2.5	4120	0.3084	0.4812	0.6710	0.9181	nan	0.4290	0.8976	0.0	0.8771	0.8520	0.9702	0.2869	0.7811	0.0	0.7942	0.5398	0.9666
0.6208	2.51	4140	0.3039	0.4776	0.6523	0.9168	nan	0.3598	0.8827	0.0	0.8828	0.8175	0.9710	0.2525	0.7696	0.0	0.7989	0.5560	0.9663
0.3642	2.52	4160	0.3249	0.4892	0.6676	0.9218	nan	0.4016	0.9010	0.0	0.8974	0.8360	0.9699	0.3151	0.7717	0.0	0.8056	0.5650	0.9670
0.6865	2.53	4180	0.3203	0.4934	0.6659	0.9243	nan	0.4052	0.8954	0.0	0.9134	0.8108	0.9708	0.3057	0.7841	0.0	0.8130	0.5842	0.9672
1.0893	2.55	4200	0.2951	0.4863	0.6613	0.9193	nan	0.4150	0.8548	0.0000	0.9060	0.8212	0.9707	0.2905	0.7699	0.0000	0.8057	0.5707	0.9670
0.4914	2.56	4220	0.2988	0.4951	0.6731	0.9224	nan	0.4553	0.8745	0.0000	0.9001	0.8352	0.9734	0.3491	0.7804	0.0000	0.8038	0.5630	0.9690
0.2864	2.57	4240	0.3029	0.4946	0.6670	0.9232	nan	0.4448	0.8753	0.0	0.9182	0.7926	0.9710	0.3187	0.7765	0.0	0.8127	0.5870	0.9673
0.1695	2.58	4260	0.3356	0.5014	0.6749	0.9263	nan	0.4545	0.8932	0.0	0.9249	0.8066	0.9702	0.3657	0.7799	0.0	0.8119	0.5847	0.9676
0.5746	2.6	4280	0.3106	0.5024	0.6754	0.9260	nan	0.4610	0.8796	0.0	0.9206	0.8187	0.9723	0.3690	0.7837	0.0	0.8137	0.5818	0.9683
0.2629	2.61	4300	0.3153	0.5020	0.6771	0.9269	nan	0.4768	0.9000	0.0	0.9266	0.7890	0.9702	0.3420	0.7826	0.0	0.8218	0.6005	0.9671
0.4151	2.62	4320	0.2932	0.4957	0.6677	0.9229	nan	0.4382	0.8798	0.0	0.9142	0.8031	0.9706	0.3086	0.7840	0.0	0.8159	0.5944	0.9668
0.1169	2.63	4340	0.2940	0.4995	0.6683	0.9244	nan	0.4620	0.8738	0.0	0.9295	0.7744	0.9701	0.3315	0.7860	0.0	0.8161	0.5960	0.9668
0.1379	2.64	4360	0.2958	0.5047	0.6750	0.9264	nan	0.4636	0.8776	0.0000	0.9138	0.8195	0.9754	0.3667	0.7920	0.0000	0.8160	0.5891	0.9689
0.1106	2.66	4380	0.3271	0.5063	0.6866	0.9278	nan	0.5061	0.9005	0.0	0.9251	0.8175	0.9702	0.3773	0.7976	0.0	0.8143	0.5878	0.9673
0.6561	2.67	4400	0.3072	0.4820	0.6689	0.9179	nan	0.4274	0.9043	0.0001	0.8736	0.8372	0.9707	0.2704	0.7896	0.0001	0.7980	0.5493	0.9665
1.0281	2.68	4420	0.3102	0.4815	0.6878	0.9179	nan	0.4964	0.9069	0.0000	0.8569	0.8942	0.9721	0.3072	0.7945	0.0000	0.7899	0.5115	0.9676
0.2507	2.69	4440	0.3143	0.4839	0.6758	0.9200	nan	0.4543	0.9103	0.0	0.8806	0.8390	0.9704	0.2914	0.7904	0.0	0.8009	0.5380	0.9668
1.8848	2.7	4460	0.3204	0.4827	0.6763	0.9186	nan	0.4533	0.9111	0.0000	0.8766	0.8475	0.9690	0.2813	0.7838	0.0000	0.8023	0.5453	0.9664
0.2177	2.72	4480	0.3152	0.4841	0.6658	0.9196	nan	0.4292	0.8986	0.0	0.8922	0.8050	0.9699	0.2702	0.7881	0.0	0.8063	0.5579	0.9666
0.2683	2.73	4500	0.3165	0.4810	0.6710	0.9176	nan	0.4378	0.9003	0.0	0.8797	0.8395	0.9687	0.2755	0.7847	0.0	0.7996	0.5408	0.9661
0.4168	2.74	4520	0.3347	0.4920	0.6748	0.9233	nan	0.4527	0.9122	0.0	0.9021	0.8121	0.9698	0.3271	0.7776	0.0	0.8105	0.5616	0.9670
0.89	2.75	4540	0.3345	0.4875	0.6709	0.9211	nan	0.4383	0.9006	0.0	0.8985	0.8189	0.9690	0.2903	0.7895	0.0	0.8071	0.5591	0.9666
0.3392	2.77	4560	0.3020	0.4852	0.6730	0.9197	nan	0.4509	0.8977	0.0	0.8886	0.8312	0.9698	0.2847	0.7921	0.0	0.8024	0.5506	0.9665
0.4607	2.78	4580	0.3230	0.4935	0.6757	0.9238	nan	0.4640	0.9097	0.0	0.9075	0.8036	0.9696	0.3195	0.7866	0.0	0.8116	0.5697	0.9670
0.3654	2.79	4600	0.3109	0.4928	0.6672	0.9231	nan	0.4508	0.8907	0.0	0.9169	0.7750	0.9698	0.3078	0.7942	0.0	0.8102	0.5704	0.9670
0.4694	2.8	4620	0.3250	0.4919	0.6806	0.9221	nan	0.4773	0.9033	0.0	0.8870	0.8435	0.9722	0.3328	0.7919	0.0	0.8015	0.5489	0.9679
0.7987	2.81	4640	0.3292	0.4954	0.6686	0.9240	nan	0.4267	0.8898	0.0	0.9178	0.8078	0.9696	0.3340	0.7982	0.0	0.8063	0.5622	0.9672
0.1422	2.83	4660	0.3098	0.4980	0.6793	0.9252	nan	0.4912	0.9051	0.0	0.9137	0.7954	0.9706	0.3358	0.7895	0.0	0.8146	0.5789	0.9674
0.2764	2.84	4680	0.2950	0.4955	0.6780	0.9236	nan	0.4777	0.8876	0.0	0.9065	0.8249	0.9715	0.3347	0.7929	0.0	0.8095	0.5634	0.9678
0.7027	2.85	4700	0.3178	0.4956	0.6811	0.9237	nan	0.4798	0.9043	0.0	0.9009	0.8310	0.9708	0.3432	0.7879	0.0	0.8083	0.5622	0.9676
0.1181	2.86	4720	0.3131	0.4926	0.6812	0.9229	nan	0.4841	0.9019	0.0	0.8987	0.8317	0.9705	0.3250	0.7894	0.0	0.8072	0.5593	0.9673
0.1929	2.87	4740	0.3345	0.4983	0.6796	0.9246	nan	0.4671	0.9066	0.0	0.9087	0.8258	0.9697	0.3638	0.7872	0.0	0.8075	0.5620	0.9673
0.1227	2.89	4760	0.3008	0.4923	0.6766	0.9215	nan	0.4699	0.8828	0.0	0.8972	0.8386	0.9714	0.3415	0.7942	0.0	0.8013	0.5408	0.9681
0.2807	2.9	4780	0.3065	0.4867	0.6674	0.9185	nan	0.4280	0.8885	0.0	0.8864	0.8315	0.9701	0.3093	0.7890	0.0	0.7973	0.5438	0.9672
0.1685	2.91	4800	0.3054	0.4890	0.6712	0.9206	nan	0.4508	0.8940	0.0	0.8947	0.8176	0.9704	0.3112	0.7901	0.0	0.8020	0.5527	0.9672
0.2884	2.92	4820	0.3072	0.4896	0.6770	0.9201	nan	0.4773	0.8843	0.0	0.8932	0.8372	0.9703	0.3251	0.7914	0.0	0.7997	0.5440	0.9673
0.6886	2.94	4840	0.3077	0.4936	0.6643	0.9225	nan	0.4469	0.8662	0.0	0.9228	0.7796	0.9704	0.3339	0.7868	0.0	0.8057	0.5614	0.9676
0.3344	2.95	4860	0.3017	0.4943	0.6733	0.9225	nan	0.4660	0.8746	0.0	0.9098	0.8184	0.9711	0.3488	0.7900	0.0	0.8032	0.5498	0.9681
0.1385	2.96	4880	0.3149	0.4846	0.6688	0.9180	nan	0.4436	0.8811	0.0000	0.8905	0.8288	0.9692	0.2956	0.7873	0.0000	0.7986	0.5441	0.9667
0.559	2.97	4900	0.3012	0.4827	0.6598	0.9172	nan	0.4204	0.8584	0.0000	0.8997	0.8108	0.9693	0.2854	0.7789	0.0000	0.7992	0.5489	0.9666
0.0576	2.98	4920	0.3116	0.4880	0.6794	0.9200	nan	0.4841	0.8852	0.0	0.8866	0.8489	0.9714	0.3229	0.7898	0.0	0.7986	0.5372	0.9678
0.1294	3.0	4940	0.3304	0.4794	0.6650	0.9144	nan	0.4315	0.8895	0.0	0.8740	0.8271	0.9678	0.2745	0.7784	0.0	0.7930	0.5438	0.9658

Framework versions

Transformers 4.33.0
Pytorch 2.0.0
Datasets 2.1.0
Tokenizers 0.13.3

⚠️ Incomplete Data

Some information about this model is not available. Use with Caution - Verify details from the original source before relying on this data.

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📝 Limitations & Considerations

• Benchmark scores may vary based on evaluation methodology and hardware configuration.
• VRAM requirements are estimates; actual usage depends on quantization and batch size.
• FNI scores are relative rankings and may change as new models are added.
⚠ License Unknown: Verify licensing terms before commercial use.

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🆔 Identity & Source

id: hf-model--peldrak--segformer_finetuned_coasts
slug: peldrak--segformer_finetuned_coasts
source: huggingface
author: peldrak
license: Other
tags: transformers, pytorch, segformer, vision, image-segmentation, generated_from_trainer, license:other, endpoints_compatible, region:us

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architecture: null
params billions: null
context length: null
pipeline tag: image-segmentation

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downloads: 6
stars: 0
forks: 0

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segformer_finetuned_coasts

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