segformer-finetuned-coasts-final

This model is a fine-tuned version of peldrak/segformer-finetuned-coastalDataset on the peldrak/coastal2 dataset. It achieves the following results on the evaluation set:

Loss: 0.2563
Mean Iou: 0.5765
Mean Accuracy: 0.7934
Overall Accuracy: 0.8942
Accuracy Water: 0.9204
Accuracy Whitewater: 0.6450
Accuracy Sediment: 0.8936
Accuracy Other Natural Terrain: 0.5526
Accuracy Vegetation: 0.9077
Accuracy Development: 0.8415
Accuracy Unknown: nan
Iou Water: 0.8847
Iou Whitewater: 0.4614
Iou Sediment: 0.7695
Iou Other Natural Terrain: 0.4632
Iou Vegetation: 0.8233
Iou Development: 0.6331
Iou Unknown: 0.0

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: 2

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 Water	Iou Whitewater	Iou Sediment	Iou Other Natural Terrain	Iou Vegetation	Iou Development
0.6692	0.01	20	0.4614	0.4642	0.6595	0.8193	0.8313	0.4104	0.7626	0.3112	0.9007	0.7410	nan	0.7682	0.3175	0.6041	0.2766	0.7352	0.5478
0.6263	0.02	40	0.4235	0.4592	0.6471	0.8295	0.9136	0.3421	0.7720	0.2776	0.8233	0.7542	nan	0.8087	0.2990	0.6199	0.2471	0.7340	0.5055
1.3017	0.04	60	0.4394	0.4653	0.6590	0.8330	0.8610	0.3290	0.9077	0.2547	0.8425	0.7591	nan	0.8012	0.2886	0.6560	0.2308	0.7409	0.5394
0.4226	0.05	80	0.4617	0.4769	0.6540	0.8418	0.9305	0.4493	0.7371	0.2628	0.8645	0.6799	nan	0.8198	0.3649	0.6261	0.2443	0.7488	0.5347
0.8408	0.06	100	0.4295	0.4505	0.6816	0.8087	0.8050	0.4237	0.8763	0.2882	0.8330	0.8634	nan	0.7757	0.3119	0.6338	0.2439	0.7017	0.4861
1.474	0.07	120	0.4297	0.4708	0.6926	0.8290	0.8725	0.5252	0.8807	0.2439	0.8128	0.8206	nan	0.8183	0.3891	0.6635	0.2246	0.7283	0.4714
0.5739	0.08	140	0.3918	0.4891	0.6964	0.8398	0.8682	0.4291	0.8989	0.3777	0.8434	0.7609	nan	0.8206	0.3611	0.6719	0.3271	0.7499	0.4930
1.8433	0.1	160	0.4038	0.4801	0.7087	0.8276	0.8590	0.4685	0.9100	0.3518	0.7974	0.8656	nan	0.8192	0.3831	0.6661	0.3156	0.7184	0.4585
0.3492	0.11	180	0.3186	0.5025	0.7143	0.8507	0.9192	0.5610	0.8231	0.3873	0.8404	0.7547	nan	0.8615	0.3949	0.7214	0.3523	0.7304	0.4573
1.4639	0.12	200	0.4100	0.4907	0.7152	0.8368	0.8950	0.5659	0.8607	0.3800	0.8092	0.7800	nan	0.8302	0.4098	0.6733	0.3275	0.7245	0.4700
0.4228	0.13	220	0.4499	0.4825	0.7167	0.8290	0.8528	0.6444	0.9074	0.3113	0.8265	0.7581	nan	0.8071	0.4126	0.6496	0.2843	0.7270	0.4967
0.4334	0.15	240	0.3982	0.4789	0.7042	0.8384	0.8739	0.6612	0.8529	0.2549	0.8633	0.7188	nan	0.8264	0.3878	0.6766	0.2461	0.7383	0.4771
0.2844	0.16	260	0.4778	0.4594	0.6958	0.8264	0.8630	0.6156	0.8865	0.2021	0.8209	0.7869	nan	0.8210	0.3735	0.6681	0.1918	0.7157	0.4459
0.4044	0.17	280	0.4410	0.4585	0.6861	0.8289	0.8873	0.5803	0.8906	0.1865	0.8000	0.7719	nan	0.8319	0.3753	0.6804	0.1753	0.7113	0.4354
0.3748	0.18	300	0.4839	0.4393	0.6829	0.7970	0.8379	0.5714	0.9223	0.2301	0.7465	0.7892	nan	0.7826	0.3613	0.5881	0.1983	0.6774	0.4673
0.4755	0.19	320	0.3532	0.4889	0.7063	0.8552	0.8869	0.5985	0.8407	0.2399	0.8972	0.7746	nan	0.8519	0.3580	0.7004	0.2270	0.7688	0.5159
0.1647	0.21	340	0.4263	0.4482	0.6750	0.8275	0.8739	0.4728	0.8689	0.1326	0.8123	0.8897	nan	0.8275	0.3375	0.6691	0.1279	0.7168	0.4589
0.1324	0.22	360	0.3186	0.4722	0.7102	0.8414	0.9062	0.6599	0.8066	0.1877	0.8335	0.8674	nan	0.8473	0.3452	0.6860	0.1817	0.7490	0.4958
1.2721	0.23	380	0.4527	0.4562	0.6524	0.8415	0.9224	0.5242	0.7128	0.0855	0.8813	0.7885	nan	0.8233	0.3347	0.6008	0.0845	0.7683	0.5818
1.5569	0.24	400	0.3610	0.4686	0.7072	0.8468	0.8868	0.6755	0.8329	0.1835	0.8760	0.7884	nan	0.8391	0.3119	0.6641	0.1672	0.7827	0.5152
0.3027	0.25	420	0.3637	0.4659	0.7499	0.8159	0.8104	0.7363	0.8482	0.4076	0.8415	0.8554	nan	0.7855	0.2747	0.7003	0.3160	0.7191	0.4658
0.2337	0.27	440	0.3187	0.4821	0.7265	0.8479	0.9054	0.5871	0.8284	0.3716	0.8357	0.8309	nan	0.8486	0.2510	0.7033	0.3185	0.7569	0.4964
0.9241	0.28	460	0.3566	0.4981	0.6725	0.8624	0.9099	0.4308	0.7761	0.3893	0.9400	0.5890	nan	0.8466	0.3307	0.6713	0.3407	0.7924	0.5048
0.3494	0.29	480	0.3679	0.5070	0.7207	0.8460	0.8849	0.5082	0.7560	0.4808	0.8855	0.8088	nan	0.8284	0.3782	0.6844	0.4029	0.7387	0.5163
0.1691	0.3	500	0.3436	0.5198	0.7262	0.8638	0.9274	0.5366	0.7800	0.4651	0.8808	0.7675	nan	0.8564	0.3869	0.6920	0.4037	0.7766	0.5232
0.5782	0.32	520	0.4702	0.5067	0.7430	0.8398	0.8207	0.5963	0.8942	0.4582	0.8883	0.8005	nan	0.7941	0.3921	0.6395	0.4094	0.7838	0.5280
0.7752	0.33	540	0.6535	0.4591	0.6686	0.7923	0.7106	0.5371	0.8396	0.3616	0.9534	0.6090	nan	0.6940	0.4164	0.5151	0.3090	0.7622	0.5171
0.2089	0.34	560	0.3457	0.5121	0.7382	0.8549	0.8789	0.6058	0.8199	0.4140	0.8932	0.8171	nan	0.8497	0.3949	0.7054	0.3535	0.7516	0.5294
0.1504	0.35	580	0.3299	0.5208	0.7438	0.8605	0.8912	0.6374	0.8511	0.3967	0.8831	0.8036	nan	0.8542	0.4207	0.7280	0.3507	0.7619	0.5301
0.1052	0.36	600	0.3514	0.5118	0.7143	0.8557	0.9408	0.5685	0.8064	0.3304	0.8314	0.8086	nan	0.8346	0.4004	0.7211	0.3147	0.7433	0.5682
0.3436	0.38	620	0.3174	0.5293	0.7225	0.8702	0.9170	0.5454	0.8581	0.3863	0.8901	0.7380	nan	0.8482	0.3866	0.7412	0.3614	0.7797	0.5882
0.2951	0.39	640	0.3557	0.5297	0.7490	0.8605	0.8547	0.6049	0.8916	0.4654	0.9130	0.7643	nan	0.8272	0.4138	0.7145	0.3913	0.7777	0.5834
0.3383	0.4	660	0.3802	0.5108	0.7373	0.8460	0.9167	0.5489	0.8977	0.4706	0.7794	0.8104	nan	0.8249	0.3975	0.7184	0.3596	0.7186	0.5569
0.4272	0.41	680	0.2963	0.5330	0.7518	0.8669	0.9489	0.6026	0.7575	0.5282	0.8565	0.8174	nan	0.8580	0.4109	0.7019	0.4198	0.7806	0.5601
0.3004	0.42	700	0.3287	0.5242	0.7068	0.8728	0.9485	0.4648	0.7569	0.4087	0.8993	0.7628	nan	0.8661	0.3948	0.6820	0.3687	0.7975	0.5607
0.368	0.44	720	0.3581	0.5145	0.7082	0.8678	0.8976	0.4916	0.9031	0.3196	0.8945	0.7427	nan	0.8625	0.4132	0.6936	0.2926	0.7928	0.5464
0.5273	0.45	740	0.3392	0.5172	0.7461	0.8659	0.8987	0.6086	0.8829	0.3754	0.8723	0.8384	nan	0.8710	0.3943	0.7320	0.3510	0.7704	0.5018
0.8596	0.46	760	0.2994	0.5144	0.7075	0.8733	0.9402	0.5261	0.8305	0.2849	0.8849	0.7781	nan	0.8820	0.4074	0.7324	0.2753	0.7808	0.5227
0.3141	0.47	780	0.2862	0.5220	0.7148	0.8762	0.9304	0.6100	0.8318	0.2835	0.9128	0.7206	nan	0.8776	0.4229	0.7512	0.2734	0.7838	0.5453
0.4501	0.49	800	0.3087	0.5179	0.7518	0.8713	0.9077	0.7417	0.8486	0.3256	0.9016	0.7858	nan	0.8720	0.3803	0.7325	0.3019	0.7876	0.5509
0.5333	0.5	820	0.3242	0.5222	0.7365	0.8736	0.9122	0.6724	0.8373	0.2926	0.9118	0.7930	nan	0.8753	0.4221	0.7275	0.2756	0.7903	0.5645
0.4082	0.51	840	0.3147	0.5108	0.7301	0.8651	0.8951	0.6418	0.8918	0.2432	0.8836	0.8253	nan	0.8640	0.4205	0.7213	0.2295	0.7843	0.5561
0.1804	0.52	860	0.3430	0.5104	0.7248	0.8642	0.8920	0.6020	0.8910	0.2571	0.8860	0.8208	nan	0.8544	0.4244	0.7103	0.2378	0.7834	0.5628
0.2636	0.53	880	0.2953	0.5190	0.7434	0.8647	0.9241	0.6135	0.8433	0.3692	0.8507	0.8594	nan	0.8685	0.4108	0.7447	0.3300	0.7575	0.5215
0.9171	0.55	900	0.2782	0.5373	0.7328	0.8752	0.9118	0.5616	0.8318	0.4369	0.9192	0.7355	nan	0.8710	0.4169	0.7506	0.3880	0.7798	0.5546
0.1809	0.56	920	0.2736	0.5392	0.7376	0.8749	0.9108	0.5501	0.8474	0.4279	0.9061	0.7835	nan	0.8691	0.4246	0.7473	0.3769	0.7837	0.5728
0.3095	0.57	940	0.2762	0.5405	0.7460	0.8771	0.9084	0.5879	0.8590	0.4068	0.9076	0.8066	nan	0.8716	0.4199	0.7538	0.3667	0.7874	0.5842
0.6095	0.58	960	0.2831	0.5220	0.7405	0.8655	0.9084	0.6134	0.8646	0.3468	0.8689	0.8412	nan	0.8645	0.4026	0.7262	0.3220	0.7696	0.5695
0.6369	0.59	980	0.3259	0.5190	0.7511	0.8612	0.8955	0.6528	0.9060	0.3588	0.8511	0.8425	nan	0.8545	0.4057	0.7171	0.3390	0.7648	0.5522
1.711	0.61	1000	0.3439	0.5268	0.7580	0.8615	0.8617	0.6757	0.8944	0.4164	0.9026	0.7975	nan	0.8434	0.4338	0.7032	0.3844	0.7818	0.5411
0.2443	0.62	1020	0.2789	0.5429	0.7415	0.8809	0.8993	0.6534	0.8807	0.4180	0.9425	0.6553	nan	0.8714	0.4214	0.7501	0.3893	0.8031	0.5651
0.1833	0.63	1040	0.3325	0.5356	0.7394	0.8787	0.9275	0.6594	0.8686	0.3051	0.8942	0.7819	nan	0.8675	0.4338	0.7404	0.2979	0.7905	0.6189
0.0592	0.64	1060	0.3044	0.5287	0.7271	0.8714	0.9078	0.6267	0.8723	0.2993	0.9020	0.7541	nan	0.8564	0.4381	0.7202	0.2867	0.7899	0.6094
0.5377	0.65	1080	0.2896	0.5328	0.7307	0.8780	0.9091	0.5475	0.8544	0.3355	0.9168	0.8209	nan	0.8693	0.4136	0.7217	0.3155	0.8081	0.6012
0.25	0.67	1100	0.3252	0.5161	0.7578	0.8583	0.8770	0.6339	0.9036	0.3850	0.8583	0.8890	nan	0.8596	0.4195	0.7235	0.3470	0.7676	0.4955
0.3291	0.68	1120	0.3295	0.5100	0.7740	0.8550	0.8794	0.6870	0.9169	0.4707	0.8352	0.8547	nan	0.8526	0.3684	0.7032	0.3674	0.7645	0.5141
0.1965	0.69	1140	0.2703	0.5336	0.7583	0.8752	0.9154	0.6437	0.8906	0.4315	0.8769	0.7919	nan	0.8785	0.4010	0.7532	0.3803	0.7833	0.5385
0.129	0.7	1160	0.2486	0.5496	0.7453	0.8864	0.9272	0.5909	0.8937	0.4061	0.9048	0.7493	nan	0.8838	0.4231	0.7696	0.3737	0.7984	0.5990
0.5261	0.72	1180	0.2643	0.5498	0.7565	0.8759	0.9306	0.6428	0.8678	0.4760	0.8724	0.7493	nan	0.8654	0.4343	0.7636	0.4222	0.7719	0.5914
0.1468	0.73	1200	0.2658	0.5414	0.7664	0.8706	0.9212	0.6083	0.9012	0.5039	0.8395	0.8244	nan	0.8717	0.4338	0.7665	0.4223	0.7572	0.5382
1.0941	0.74	1220	0.2715	0.5423	0.7611	0.8718	0.9043	0.5967	0.8793	0.4764	0.8766	0.8333	nan	0.8692	0.4257	0.7705	0.4168	0.7701	0.5438
0.418	0.75	1240	0.2988	0.5385	0.7575	0.8631	0.8481	0.6181	0.8973	0.4993	0.9246	0.7573	nan	0.8263	0.4090	0.6882	0.4314	0.8081	0.6062
0.173	0.76	1260	0.2824	0.5602	0.7812	0.8816	0.8983	0.6148	0.9039	0.5562	0.8982	0.8157	nan	0.8658	0.4415	0.7486	0.4542	0.8029	0.6083
0.2501	0.78	1280	0.2893	0.5345	0.7801	0.8579	0.8856	0.6174	0.8920	0.5393	0.8337	0.9126	nan	0.8537	0.4336	0.7198	0.4689	0.7618	0.5034
0.2213	0.79	1300	0.2579	0.5536	0.7501	0.8840	0.9223	0.5794	0.8305	0.4354	0.9198	0.8130	nan	0.8825	0.4336	0.7614	0.4142	0.7924	0.5915
0.6845	0.8	1320	0.2766	0.5574	0.7593	0.8816	0.9103	0.5735	0.8930	0.4722	0.8971	0.8099	nan	0.8684	0.4448	0.7728	0.4200	0.7871	0.6083
0.3139	0.81	1340	0.2591	0.5600	0.7617	0.8861	0.9095	0.5474	0.9057	0.4920	0.9052	0.8103	nan	0.8801	0.4356	0.7602	0.4273	0.8075	0.6096
0.2207	0.82	1360	0.3023	0.5519	0.7398	0.8842	0.9065	0.4921	0.8773	0.4597	0.9261	0.7774	nan	0.8717	0.4113	0.7559	0.4242	0.8022	0.5979
0.055	0.84	1380	0.2899	0.5583	0.7640	0.8801	0.9062	0.6091	0.8915	0.4858	0.8992	0.7923	nan	0.8653	0.4651	0.7603	0.4424	0.7933	0.5815
0.1648	0.85	1400	0.3026	0.5493	0.7529	0.8830	0.9021	0.6004	0.9090	0.4134	0.9147	0.7780	nan	0.8722	0.4553	0.7478	0.3737	0.8087	0.5877
0.1717	0.86	1420	0.2719	0.5577	0.7945	0.8802	0.9051	0.6636	0.8980	0.5765	0.8797	0.8441	nan	0.8782	0.4527	0.7591	0.4554	0.7931	0.5656
1.2901	0.87	1440	0.2583	0.5666	0.7906	0.8837	0.9008	0.6385	0.8771	0.5761	0.9061	0.8453	nan	0.8801	0.4551	0.7863	0.4752	0.7929	0.5766
0.3958	0.89	1460	0.2567	0.5636	0.7722	0.8856	0.9209	0.5674	0.8749	0.5567	0.8950	0.8186	nan	0.8795	0.4382	0.7648	0.4645	0.8065	0.5913
0.132	0.9	1480	0.3065	0.5529	0.7824	0.8769	0.8965	0.6280	0.8995	0.5739	0.8871	0.8096	nan	0.8637	0.4402	0.7403	0.4606	0.8000	0.5655
0.1086	0.91	1500	0.3508	0.5322	0.7658	0.8560	0.8395	0.6086	0.9102	0.5617	0.9003	0.7743	nan	0.8166	0.4316	0.6703	0.4462	0.7977	0.5629
0.1127	0.92	1520	0.3589	0.5310	0.7720	0.8529	0.8399	0.6515	0.9186	0.5537	0.8843	0.7840	nan	0.8100	0.4318	0.6527	0.4291	0.7970	0.5963
0.3807	0.93	1540	0.2715	0.5554	0.7927	0.8792	0.8975	0.6704	0.8713	0.5857	0.8995	0.8319	nan	0.8742	0.4380	0.7658	0.4537	0.7898	0.5663
0.3847	0.95	1560	0.2537	0.5589	0.7988	0.8847	0.9184	0.6811	0.8729	0.5827	0.8849	0.8530	nan	0.8863	0.4253	0.7846	0.4582	0.7933	0.5645
0.2076	0.96	1580	0.2669	0.5517	0.7704	0.8865	0.9249	0.6891	0.8583	0.4244	0.9084	0.8171	nan	0.8811	0.4304	0.7516	0.3920	0.8123	0.5943
0.1031	0.97	1600	0.2806	0.5474	0.7524	0.8853	0.9163	0.6332	0.8666	0.3833	0.9215	0.7932	nan	0.8782	0.4432	0.7448	0.3527	0.8112	0.6020
0.2727	0.98	1620	0.3023	0.5370	0.7711	0.8710	0.8763	0.6717	0.9048	0.4370	0.8998	0.8370	nan	0.8557	0.4296	0.7258	0.3803	0.7962	0.5714
0.2601	0.99	1640	0.3792	0.5187	0.7649	0.8554	0.8331	0.7026	0.9221	0.4155	0.9061	0.8097	nan	0.8181	0.3941	0.6737	0.3592	0.7989	0.5868
0.239	1.01	1660	0.3111	0.5377	0.7876	0.8674	0.8753	0.6883	0.9208	0.5076	0.8718	0.8621	nan	0.8552	0.4240	0.7277	0.4169	0.7868	0.5533
0.2939	1.02	1680	0.2581	0.5698	0.7874	0.8910	0.9218	0.6397	0.9075	0.5464	0.8947	0.8144	nan	0.8834	0.4488	0.7785	0.4475	0.8142	0.6161
0.1292	1.03	1700	0.2495	0.5694	0.7724	0.8886	0.9291	0.6174	0.8777	0.5010	0.8964	0.8129	nan	0.8768	0.4587	0.7841	0.4434	0.8067	0.6160
0.4733	1.04	1720	0.2527	0.5662	0.7743	0.8881	0.9246	0.6255	0.8860	0.4842	0.8958	0.8297	nan	0.8793	0.4605	0.7759	0.4335	0.8041	0.6104
0.1835	1.06	1740	0.2607	0.5558	0.7705	0.8842	0.8955	0.6777	0.8876	0.4263	0.9280	0.8080	nan	0.8712	0.4401	0.7581	0.4051	0.8096	0.6061
0.4408	1.07	1760	0.2765	0.5536	0.7802	0.8793	0.8830	0.6812	0.8959	0.4971	0.9197	0.8046	nan	0.8569	0.4205	0.7288	0.4439	0.8175	0.6073
0.1692	1.08	1780	0.2987	0.5517	0.7740	0.8819	0.8844	0.6921	0.9004	0.4412	0.9298	0.7961	nan	0.8635	0.4247	0.7442	0.4119	0.8119	0.6054
0.0829	1.09	1800	0.2804	0.5394	0.7624	0.8797	0.9094	0.7067	0.8563	0.3608	0.9121	0.8289	nan	0.8706	0.4162	0.7470	0.3457	0.8019	0.5943
0.6807	1.1	1820	0.3080	0.5373	0.7638	0.8729	0.8821	0.6748	0.9134	0.4184	0.9030	0.7915	nan	0.8532	0.4092	0.7250	0.3750	0.7992	0.5993
0.2518	1.12	1840	0.2835	0.5332	0.7744	0.8669	0.8880	0.6827	0.9181	0.4495	0.8632	0.8447	nan	0.8575	0.4012	0.7213	0.3993	0.7805	0.5729
0.7864	1.13	1860	0.2637	0.5532	0.7737	0.8879	0.9086	0.6829	0.9120	0.4406	0.9137	0.7842	nan	0.8832	0.4071	0.7702	0.3902	0.8153	0.6065
0.0924	1.14	1880	0.2864	0.5621	0.7705	0.8949	0.9200	0.6569	0.8994	0.4515	0.9284	0.7665	nan	0.8908	0.4259	0.7806	0.4054	0.8209	0.6114
0.1686	1.15	1900	0.2654	0.5637	0.7854	0.8912	0.9187	0.6555	0.8953	0.4942	0.9044	0.8445	nan	0.8892	0.4345	0.7787	0.4371	0.8110	0.5950
0.1225	1.16	1920	0.2667	0.5587	0.7855	0.8852	0.9104	0.6479	0.9008	0.5066	0.8918	0.8552	nan	0.8832	0.4434	0.7668	0.4407	0.8031	0.5738
0.1435	1.18	1940	0.2704	0.5619	0.7807	0.8860	0.8959	0.6520	0.8953	0.5080	0.9226	0.8107	nan	0.8726	0.4417	0.7566	0.4386	0.8158	0.6082
0.2853	1.19	1960	0.2792	0.5523	0.7959	0.8822	0.9074	0.7239	0.8853	0.5060	0.8900	0.8628	nan	0.8801	0.4154	0.7708	0.4392	0.7978	0.5625
0.1169	1.2	1980	0.2879	0.5629	0.7787	0.8900	0.9085	0.6766	0.8683	0.4738	0.9324	0.8124	nan	0.8797	0.4266	0.7629	0.4292	0.8164	0.6251
0.1685	1.21	2000	0.2960	0.5645	0.7948	0.8899	0.9075	0.6827	0.8744	0.5332	0.9189	0.8520	nan	0.8793	0.4256	0.7577	0.4546	0.8224	0.6117
0.7038	1.22	2020	0.2923	0.5641	0.7853	0.8874	0.8949	0.6525	0.8828	0.5251	0.9296	0.8266	nan	0.8714	0.4343	0.7489	0.4541	0.8219	0.6178
0.6504	1.24	2040	0.2727	0.5656	0.7799	0.8906	0.9181	0.6237	0.9048	0.5272	0.9039	0.8017	nan	0.8771	0.4327	0.7616	0.4410	0.8245	0.6224
0.3215	1.25	2060	0.2697	0.5692	0.7798	0.8921	0.9109	0.6537	0.9027	0.4922	0.9214	0.7980	nan	0.8794	0.4591	0.7621	0.4293	0.8272	0.6271
0.7559	1.26	2080	0.2841	0.5703	0.7909	0.8938	0.9121	0.6957	0.8969	0.4812	0.9210	0.8386	nan	0.8861	0.4526	0.7802	0.4258	0.8202	0.6275
0.0888	1.27	2100	0.2607	0.5670	0.7677	0.8935	0.9342	0.6483	0.8855	0.4075	0.9070	0.8234	nan	0.8861	0.4785	0.7798	0.3772	0.8168	0.6305
0.4145	1.29	2120	0.2646	0.5615	0.7702	0.8867	0.9221	0.6530	0.8885	0.4237	0.8969	0.8367	nan	0.8752	0.4703	0.7690	0.3822	0.8086	0.6253
0.059	1.3	2140	0.2673	0.5619	0.7662	0.8893	0.9142	0.6207	0.9007	0.4401	0.9140	0.8076	nan	0.8776	0.4666	0.7564	0.3822	0.8222	0.6286
0.2973	1.31	2160	0.2817	0.5660	0.7736	0.8912	0.9093	0.6434	0.8961	0.4758	0.9269	0.7901	nan	0.8798	0.4608	0.7590	0.4140	0.8216	0.6265
0.4088	1.32	2180	0.2859	0.5479	0.7895	0.8790	0.9071	0.6934	0.9058	0.4804	0.8722	0.8782	nan	0.8749	0.4309	0.7583	0.4013	0.8000	0.5703
0.6954	1.33	2200	0.2905	0.5541	0.7861	0.8764	0.8848	0.6835	0.8968	0.5118	0.9013	0.8386	nan	0.8572	0.4295	0.7496	0.4346	0.8012	0.6064
0.5832	1.35	2220	0.3119	0.5508	0.7683	0.8747	0.8692	0.6771	0.8894	0.4628	0.9345	0.7771	nan	0.8459	0.4351	0.7185	0.4202	0.8111	0.6249
0.0921	1.36	2240	0.3298	0.5461	0.7714	0.8718	0.8627	0.7034	0.8801	0.4590	0.9362	0.7869	nan	0.8396	0.4272	0.6938	0.4216	0.8149	0.6257
0.3714	1.37	2260	0.2859	0.5629	0.7798	0.8866	0.9126	0.6515	0.8707	0.4921	0.9104	0.8414	nan	0.8783	0.4474	0.7555	0.4428	0.8119	0.6045
0.1119	1.38	2280	0.2804	0.5521	0.7694	0.8821	0.9107	0.6123	0.8938	0.4466	0.8905	0.8629	nan	0.8753	0.4630	0.7505	0.3926	0.8054	0.5777
0.256	1.39	2300	0.2871	0.5641	0.7823	0.8843	0.8895	0.6507	0.8879	0.5237	0.9270	0.8150	nan	0.8622	0.4488	0.7299	0.4582	0.8236	0.6261
1.856	1.41	2320	0.3132	0.5445	0.7815	0.8742	0.8851	0.6856	0.9064	0.4533	0.8902	0.8684	nan	0.8555	0.4349	0.7115	0.4077	0.8106	0.5913
0.2095	1.42	2340	0.2954	0.5624	0.7891	0.8844	0.8890	0.6993	0.8840	0.4935	0.9264	0.8427	nan	0.8638	0.4331	0.7320	0.4606	0.8214	0.6255
0.4009	1.43	2360	0.2798	0.5565	0.8003	0.8818	0.9017	0.7110	0.9015	0.5252	0.8853	0.8769	nan	0.8714	0.4175	0.7538	0.4672	0.8064	0.5789
0.324	1.44	2380	0.2871	0.5622	0.7878	0.8838	0.8877	0.6549	0.9034	0.5290	0.9171	0.8345	nan	0.8595	0.4275	0.7316	0.4622	0.8243	0.6302
0.1967	1.46	2400	0.2866	0.5607	0.7792	0.8862	0.8918	0.6889	0.9070	0.5223	0.9336	0.7318	nan	0.8663	0.4122	0.7426	0.4698	0.8234	0.6108
0.3549	1.47	2420	0.2846	0.5661	0.7802	0.8907	0.9066	0.6648	0.8892	0.4930	0.9283	0.7996	nan	0.8749	0.4221	0.7503	0.4583	0.8237	0.6336
0.1298	1.48	2440	0.2927	0.5576	0.7861	0.8844	0.8865	0.7135	0.9022	0.4713	0.9275	0.8154	nan	0.8638	0.4191	0.7356	0.4254	0.8226	0.6368
0.1442	1.49	2460	0.2714	0.5632	0.7953	0.8880	0.9137	0.6747	0.8955	0.5360	0.8946	0.8574	nan	0.8757	0.4123	0.7575	0.4568	0.8186	0.6218
0.1179	1.5	2480	0.2873	0.5739	0.7854	0.8936	0.9142	0.6517	0.8819	0.5194	0.9252	0.8201	nan	0.8803	0.4460	0.7597	0.4696	0.8249	0.6369
0.8153	1.52	2500	0.3244	0.5628	0.7819	0.8828	0.8855	0.6434	0.8990	0.4903	0.9196	0.8538	nan	0.8601	0.4594	0.7278	0.4458	0.8205	0.6262
0.1386	1.53	2520	0.3220	0.5548	0.7648	0.8788	0.8843	0.6161	0.9062	0.4492	0.9163	0.8168	nan	0.8494	0.4596	0.7033	0.4101	0.8261	0.6350
0.3631	1.54	2540	0.2927	0.5611	0.7734	0.8852	0.9010	0.6518	0.8930	0.4558	0.9176	0.8214	nan	0.8666	0.4574	0.7316	0.4180	0.8232	0.6306
0.1358	1.55	2560	0.2741	0.5618	0.7824	0.8875	0.9088	0.6661	0.8972	0.4611	0.9061	0.8551	nan	0.8760	0.4523	0.7497	0.4236	0.8184	0.6127
0.1636	1.56	2580	0.2639	0.5716	0.7802	0.8943	0.9340	0.6282	0.8823	0.4880	0.9004	0.8484	nan	0.8878	0.4554	0.7736	0.4482	0.8186	0.6174
0.218	1.58	2600	0.2771	0.5722	0.7804	0.8914	0.9113	0.6134	0.8914	0.4984	0.9160	0.8517	nan	0.8823	0.4693	0.7641	0.4576	0.8154	0.6165
0.6271	1.59	2620	0.2715	0.5713	0.7803	0.8871	0.8985	0.6390	0.8907	0.5256	0.9244	0.8038	nan	0.8682	0.4587	0.7446	0.4759	0.8199	0.6316
0.307	1.6	2640	0.3499	0.5620	0.7852	0.8789	0.8686	0.6577	0.9099	0.5258	0.9260	0.8234	nan	0.8479	0.4454	0.7133	0.4692	0.8217	0.6363
0.2482	1.61	2660	0.2980	0.5654	0.7890	0.8830	0.8834	0.6598	0.9082	0.5263	0.9173	0.8390	nan	0.8598	0.4448	0.7340	0.4643	0.8210	0.6338
0.1496	1.63	2680	0.2893	0.5750	0.7881	0.8922	0.9088	0.6366	0.8930	0.5268	0.9191	0.8445	nan	0.8799	0.4588	0.7638	0.4720	0.8201	0.6304
0.2405	1.64	2700	0.2712	0.5738	0.7958	0.8884	0.8965	0.6660	0.8927	0.5553	0.9199	0.8441	nan	0.8731	0.4552	0.7597	0.4861	0.8167	0.6260
0.0689	1.65	2720	0.2699	0.5773	0.8004	0.8916	0.9093	0.6645	0.8839	0.5675	0.9127	0.8645	nan	0.8818	0.4697	0.7649	0.4878	0.8179	0.6192
1.3023	1.66	2740	0.2776	0.5739	0.8043	0.8902	0.9055	0.6846	0.8874	0.5705	0.9107	0.8673	nan	0.8798	0.4549	0.7620	0.4845	0.8171	0.6193
0.401	1.67	2760	0.2705	0.5721	0.7931	0.8883	0.9074	0.6542	0.8896	0.5540	0.9072	0.8462	nan	0.8721	0.4551	0.7475	0.4782	0.8221	0.6295
0.2472	1.69	2780	0.3258	0.5705	0.7939	0.8852	0.8866	0.6562	0.9042	0.5490	0.9180	0.8494	nan	0.8631	0.4681	0.7336	0.4728	0.8223	0.6338
0.4908	1.7	2800	0.3074	0.5651	0.7893	0.8807	0.8882	0.6278	0.9025	0.5567	0.9016	0.8588	nan	0.8577	0.4620	0.7193	0.4756	0.8178	0.6234
0.1247	1.71	2820	0.2845	0.5739	0.7789	0.8909	0.9063	0.6080	0.8883	0.5422	0.9268	0.8014	nan	0.8726	0.4572	0.7445	0.4782	0.8260	0.6386
0.9431	1.72	2840	0.2788	0.5753	0.7823	0.8900	0.8967	0.6380	0.8976	0.5355	0.9333	0.7929	nan	0.8721	0.4694	0.7523	0.4729	0.8222	0.6386
0.1346	1.73	2860	0.2942	0.5749	0.7819	0.8907	0.8988	0.6226	0.9048	0.5251	0.9280	0.8121	nan	0.8736	0.4707	0.7525	0.4630	0.8226	0.6417
0.1469	1.75	2880	0.2782	0.5762	0.7808	0.8933	0.9093	0.6225	0.8923	0.5319	0.9289	0.8001	nan	0.8793	0.4653	0.7595	0.4657	0.8239	0.6395
0.1829	1.76	2900	0.2748	0.5727	0.7899	0.8908	0.9105	0.6307	0.9093	0.5512	0.9050	0.8326	nan	0.8795	0.4647	0.7606	0.4629	0.8195	0.6217
0.1476	1.77	2920	0.2591	0.5729	0.7936	0.8911	0.9130	0.6489	0.8955	0.5441	0.9053	0.8549	nan	0.8828	0.4653	0.7657	0.4666	0.8169	0.6131
0.09	1.78	2940	0.2802	0.5692	0.7887	0.8892	0.9127	0.6333	0.9030	0.5209	0.8974	0.8651	nan	0.8830	0.4768	0.7639	0.4502	0.8116	0.5989
0.2123	1.8	2960	0.2605	0.5653	0.7857	0.8868	0.9139	0.6362	0.8964	0.5169	0.8930	0.8581	nan	0.8819	0.4653	0.7632	0.4462	0.8091	0.5913
0.4904	1.81	2980	0.2484	0.5707	0.7754	0.8939	0.9314	0.5966	0.8876	0.5218	0.9042	0.8109	nan	0.8847	0.4367	0.7715	0.4485	0.8230	0.6308
0.3414	1.82	3000	0.2569	0.5722	0.7811	0.8929	0.9166	0.6386	0.8934	0.5163	0.9180	0.8038	nan	0.8820	0.4596	0.7572	0.4440	0.8246	0.6380
0.0498	1.83	3020	0.2547	0.5738	0.7870	0.8923	0.9148	0.6430	0.8918	0.5312	0.9144	0.8268	nan	0.8817	0.4658	0.7594	0.4496	0.8235	0.6365
0.3362	1.84	3040	0.2595	0.5756	0.7856	0.8937	0.9173	0.6259	0.8873	0.5339	0.9167	0.8325	nan	0.8833	0.4694	0.7628	0.4537	0.8248	0.6352
0.1219	1.86	3060	0.2537	0.5750	0.7841	0.8947	0.9217	0.6318	0.8915	0.5239	0.9145	0.8211	nan	0.8846	0.4633	0.7649	0.4475	0.8255	0.6395
0.123	1.87	3080	0.2808	0.5758	0.7945	0.8934	0.9069	0.6636	0.9036	0.5391	0.9199	0.8339	nan	0.8822	0.4694	0.7664	0.4539	0.8238	0.6346
0.3721	1.88	3100	0.2523	0.5777	0.7885	0.8954	0.9207	0.6431	0.8826	0.5526	0.9209	0.8111	nan	0.8858	0.4599	0.7679	0.4677	0.8257	0.6367
0.284	1.89	3120	0.2545	0.5786	0.7927	0.8948	0.9151	0.6464	0.8905	0.5516	0.9188	0.8336	nan	0.8854	0.4687	0.7707	0.4664	0.8241	0.6350
0.5131	1.9	3140	0.2502	0.5768	0.7875	0.8948	0.9234	0.6250	0.8978	0.5439	0.9072	0.8275	nan	0.8856	0.4619	0.7722	0.4582	0.8243	0.6357
0.1381	1.92	3160	0.2580	0.5760	0.7772	0.8954	0.9194	0.6006	0.9047	0.5318	0.9194	0.7870	nan	0.8853	0.4661	0.7702	0.4505	0.8260	0.6338
0.3162	1.93	3180	0.2739	0.5775	0.7918	0.8935	0.9066	0.6439	0.9006	0.5423	0.9222	0.8350	nan	0.8822	0.4750	0.7676	0.4609	0.8230	0.6338
0.1153	1.94	3200	0.2678	0.5704	0.7631	0.8953	0.9273	0.5727	0.8881	0.5334	0.9260	0.7312	nan	0.8843	0.4380	0.7696	0.4600	0.8251	0.6161
0.0417	1.95	3220	0.2650	0.5775	0.7906	0.8950	0.9137	0.6581	0.8944	0.5503	0.9244	0.8028	nan	0.8844	0.4627	0.7687	0.4657	0.8250	0.6359
0.1364	1.96	3240	0.2696	0.5771	0.7861	0.8953	0.9133	0.6531	0.8970	0.5482	0.9295	0.7756	nan	0.8844	0.4652	0.7692	0.4642	0.8254	0.6317
0.0806	1.98	3260	0.2718	0.5771	0.7957	0.8945	0.9151	0.6654	0.9009	0.5405	0.9130	0.8391	nan	0.8844	0.4683	0.7680	0.4590	0.8247	0.6356
0.1196	1.99	3280	0.2563	0.5765	0.7934	0.8942	0.9204	0.6450	0.8936	0.5526	0.9077	0.8415	nan	0.8847	0.4614	0.7695	0.4632	0.8233	0.6331

Framework versions

Transformers 4.33.0
Pytorch 2.0.0
Datasets 2.1.0
Tokenizers 0.13.3

Характеристики

Ссылки

segformer-finetuned-coasts-final

Бенчмарки

Публичные оценки

Что умеет модель

Сценарии применения

Ограничения

Карточка модели

segformer-finetuned-coasts-final

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

Как запустить