segformer-b4-ade-finetuned-coastTrain-grCoastline

This model is a fine-tuned version of peldrak/segformer-b4-ade-finetuned-coastTrain on the peldrak/grCoastline_512 dataset. It achieves the following results on the evaluation set:

• Loss: 0.2353
• Mean Iou: 0.7578
• Mean Accuracy: 0.8313
• Overall Accuracy: 0.9460
• Accuracy Water: 0.9828
• Accuracy Whitewater: 0.5117
• Accuracy Sediment: 0.9206
• Accuracy Other Natural Terrain: 0.6833
• Accuracy Vegetation: 0.9387
• Accuracy Development: 0.7828
• Accuracy Unknown: 0.9991
• Iou Water: 0.9565
• Iou Whitewater: 0.3652
• Iou Sediment: 0.8874
• Iou Other Natural Terrain: 0.5722
• Iou Vegetation: 0.8186
• Iou Development: 0.7078
• Iou Unknown: 0.9969
• F1 Score: 0.9451

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: 20

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	Iou Unknown	F1 Score
0.4781	0.24	20	0.3235	0.5786	0.6573	0.9055	0.9722	0.0094	0.9562	0.6173	0.8527	0.1965	0.9967	0.9430	0.0073	0.7198	0.4361	0.7556	0.1954	0.9925	0.8982
0.223	0.49	40	0.2456	0.6599	0.7216	0.9322	0.9861	0.0364	0.9361	0.5916	0.9388	0.5653	0.9966	0.9530	0.0355	0.8234	0.5090	0.8024	0.5024	0.9936	0.9283
0.5023	0.73	60	0.2372	0.6581	0.7460	0.9158	0.9849	0.0809	0.8460	0.8368	0.7625	0.7140	0.9970	0.9434	0.0804	0.8097	0.5129	0.7068	0.5588	0.9942	0.9179
0.2963	0.98	80	0.2907	0.6468	0.7139	0.9256	0.9817	0.0000	0.9495	0.4663	0.9314	0.6730	0.9958	0.9433	0.0000	0.8021	0.4217	0.7788	0.5880	0.9935	0.9199
0.1099	1.22	100	0.2430	0.6245	0.6938	0.9210	0.9762	0.0018	0.9638	0.6727	0.8721	0.3723	0.9975	0.9487	0.0017	0.8079	0.4942	0.7635	0.3615	0.9939	0.9169
0.3055	1.46	120	0.2529	0.6767	0.7403	0.9289	0.9844	0.0973	0.8655	0.5975	0.9346	0.7073	0.9952	0.9366	0.0969	0.8049	0.4891	0.7886	0.6269	0.9939	0.9265
0.1458	1.71	140	0.2098	0.7165	0.7834	0.9396	0.9830	0.1829	0.8847	0.6791	0.9212	0.8360	0.9969	0.9458	0.1738	0.8501	0.5684	0.8045	0.6777	0.9950	0.9386
0.3405	1.95	160	0.2234	0.7122	0.7678	0.9394	0.9858	0.1743	0.9278	0.6276	0.9300	0.7300	0.9990	0.9488	0.1661	0.8691	0.5424	0.7955	0.6695	0.9941	0.9371
0.1377	2.2	180	0.2456	0.7076	0.7640	0.9415	0.9757	0.0758	0.9596	0.5898	0.9416	0.8089	0.9965	0.9520	0.0744	0.8817	0.5322	0.7947	0.7228	0.9952	0.9388
0.0742	2.44	200	0.1900	0.7196	0.8028	0.9350	0.9862	0.1876	0.9083	0.9200	0.7790	0.8443	0.9944	0.9407	0.1757	0.8678	0.6099	0.7561	0.6934	0.9935	0.9363
0.1898	2.68	220	0.2334	0.7180	0.7743	0.9405	0.9801	0.1658	0.9092	0.5987	0.9478	0.8197	0.9990	0.9473	0.1528	0.8778	0.5361	0.7932	0.7248	0.9941	0.9381
0.109	2.93	240	0.1950	0.7298	0.8132	0.9356	0.9814	0.2497	0.9197	0.9403	0.7634	0.8395	0.9983	0.9486	0.2052	0.8669	0.6025	0.7444	0.7453	0.9957	0.9371
0.1312	3.17	260	0.2132	0.7260	0.7802	0.9440	0.9833	0.1599	0.9405	0.6469	0.9381	0.7966	0.9957	0.9460	0.1564	0.8702	0.5749	0.8106	0.7292	0.9949	0.9420
0.1155	3.41	280	0.2659	0.7232	0.7784	0.9427	0.9822	0.1628	0.9237	0.5857	0.9538	0.8434	0.9975	0.9516	0.1578	0.8851	0.5313	0.7986	0.7420	0.9961	0.9401
0.1864	3.66	300	0.1805	0.7308	0.7934	0.9420	0.9850	0.2342	0.9221	0.7221	0.8957	0.7959	0.9988	0.9422	0.2116	0.8521	0.5957	0.8040	0.7139	0.9961	0.9411
0.0842	3.9	320	0.1952	0.7126	0.7727	0.9413	0.9866	0.1072	0.9371	0.7394	0.8900	0.7526	0.9960	0.9504	0.1049	0.8774	0.5764	0.7993	0.6847	0.9951	0.9406
0.0705	4.15	340	0.2630	0.7154	0.7684	0.9423	0.9907	0.2164	0.9319	0.6704	0.9451	0.6266	0.9974	0.9551	0.2041	0.8719	0.5688	0.8138	0.5980	0.9960	0.9400
0.073	4.39	360	0.2381	0.7348	0.7887	0.9461	0.9910	0.2060	0.9402	0.6633	0.9287	0.7934	0.9983	0.9583	0.1958	0.8777	0.5795	0.8109	0.7250	0.9963	0.9443
0.1491	4.63	380	0.2542	0.7317	0.7963	0.9419	0.9799	0.2628	0.9036	0.6475	0.9319	0.8496	0.9990	0.9497	0.2275	0.8575	0.5505	0.8104	0.7307	0.9952	0.9404
0.2976	4.88	400	0.1708	0.7387	0.8002	0.9453	0.9850	0.2216	0.9382	0.7690	0.8895	0.8012	0.9966	0.9494	0.2063	0.8646	0.6180	0.8120	0.7250	0.9956	0.9448
0.0717	5.12	420	0.2733	0.6954	0.7531	0.9355	0.9850	0.1560	0.8849	0.6444	0.9442	0.6595	0.9978	0.9457	0.1493	0.8410	0.5119	0.8120	0.6123	0.9953	0.9336
0.0758	5.37	440	0.2154	0.7244	0.7835	0.9418	0.9900	0.2369	0.9211	0.7128	0.9093	0.7154	0.9989	0.9543	0.2200	0.8773	0.5665	0.8087	0.6491	0.9951	0.9408
0.1365	5.61	460	0.1935	0.7515	0.8127	0.9488	0.9872	0.2891	0.9536	0.7256	0.9064	0.8285	0.9983	0.9634	0.2421	0.8943	0.6075	0.8108	0.7458	0.9964	0.9480
0.067	5.85	480	0.2837	0.7316	0.7815	0.9450	0.9933	0.2114	0.9315	0.6126	0.9532	0.7713	0.9974	0.9589	0.1907	0.8921	0.5524	0.8011	0.7298	0.9963	0.9426
0.0681	6.1	500	0.2346	0.7275	0.7817	0.9450	0.9919	0.1997	0.9325	0.6936	0.9281	0.7282	0.9976	0.9603	0.1823	0.8866	0.5709	0.8125	0.6833	0.9965	0.9437
0.0877	6.34	520	0.2101	0.7597	0.8240	0.9475	0.9884	0.4147	0.9251	0.6777	0.9346	0.8295	0.9981	0.9629	0.3307	0.8815	0.5835	0.8138	0.7485	0.9967	0.9464
0.0555	6.59	540	0.2345	0.7557	0.8211	0.9462	0.9908	0.4321	0.9420	0.6553	0.9276	0.8015	0.9988	0.9579	0.3294	0.8821	0.5802	0.8061	0.7380	0.9962	0.9446
0.2257	6.83	560	0.2318	0.7533	0.8135	0.9477	0.9917	0.3234	0.9318	0.6607	0.9277	0.8607	0.9986	0.9601	0.2775	0.8873	0.5833	0.8095	0.7587	0.9967	0.9461
0.292	7.07	580	0.2302	0.7439	0.7983	0.9471	0.9880	0.2699	0.9498	0.6175	0.9458	0.8188	0.9985	0.9622	0.2372	0.8889	0.5650	0.8069	0.7498	0.9968	0.9448
0.109	7.32	600	0.2926	0.7253	0.7826	0.9421	0.9929	0.3043	0.9384	0.6284	0.9467	0.6709	0.9970	0.9599	0.2631	0.8893	0.5372	0.8070	0.6244	0.9963	0.9397
0.0615	7.56	620	0.2451	0.7231	0.7843	0.9407	0.9923	0.3181	0.9378	0.7062	0.9148	0.6230	0.9976	0.9584	0.2745	0.8778	0.5581	0.8063	0.5898	0.9966	0.9393
0.0987	7.8	640	0.2297	0.7322	0.7905	0.9441	0.9888	0.3263	0.9373	0.6653	0.9424	0.6743	0.9990	0.9611	0.2714	0.8924	0.5602	0.8138	0.6304	0.9961	0.9423
0.2395	8.05	660	0.1607	0.7575	0.8128	0.9524	0.9887	0.3334	0.9371	0.7730	0.9347	0.7239	0.9990	0.9607	0.2780	0.8954	0.6535	0.8376	0.6814	0.9963	0.9516
0.0345	8.29	680	0.2093	0.7570	0.8159	0.9476	0.9887	0.3680	0.9263	0.6688	0.9374	0.8231	0.9989	0.9561	0.3054	0.8834	0.5888	0.8137	0.7547	0.9966	0.9462
0.0737	8.54	700	0.1987	0.7653	0.8254	0.9525	0.9871	0.3403	0.9559	0.7373	0.9220	0.8380	0.9973	0.9622	0.2792	0.8859	0.6463	0.8275	0.7590	0.9966	0.9517
0.067	8.78	720	0.2198	0.7492	0.8226	0.9437	0.9827	0.4775	0.9258	0.7682	0.9098	0.6970	0.9968	0.9563	0.3582	0.8774	0.5869	0.8183	0.6510	0.9962	0.9437
0.0511	9.02	740	0.3021	0.7283	0.7863	0.9403	0.9870	0.3307	0.9329	0.6301	0.9392	0.6860	0.9982	0.9514	0.2873	0.8830	0.5287	0.8015	0.6494	0.9967	0.9382
0.1628	9.27	760	0.2461	0.7432	0.8074	0.9435	0.9825	0.3491	0.9551	0.6433	0.9195	0.8040	0.9985	0.9586	0.2958	0.8899	0.5476	0.7991	0.7145	0.9970	0.9419
0.1691	9.51	780	0.2170	0.7426	0.8072	0.9447	0.9836	0.4545	0.9337	0.7136	0.9444	0.6220	0.9984	0.9575	0.3504	0.8902	0.5828	0.8198	0.6005	0.9971	0.9433
0.0514	9.76	800	0.1920	0.7585	0.8228	0.9487	0.9836	0.4528	0.9315	0.7261	0.9408	0.7257	0.9992	0.9552	0.3476	0.8924	0.6077	0.8314	0.6783	0.9966	0.9478
0.1117	10.0	820	0.2029	0.7466	0.8112	0.9461	0.9846	0.3934	0.9387	0.7525	0.9181	0.6924	0.9984	0.9567	0.3142	0.8882	0.5930	0.8247	0.6525	0.9970	0.9455
0.0633	10.24	840	0.2108	0.7577	0.8175	0.9479	0.9860	0.3964	0.9414	0.6862	0.9388	0.7761	0.9975	0.9571	0.3265	0.8902	0.5895	0.8197	0.7238	0.9969	0.9467
0.0825	10.49	860	0.2280	0.7575	0.8243	0.9464	0.9833	0.4574	0.9460	0.6616	0.9335	0.7891	0.9991	0.9593	0.3510	0.8919	0.5659	0.8125	0.7246	0.9971	0.9450
0.0583	10.73	880	0.1483	0.7702	0.8237	0.9567	0.9849	0.3196	0.9444	0.7970	0.9377	0.7831	0.9989	0.9570	0.2719	0.8932	0.6882	0.8562	0.7276	0.9971	0.9561
0.1398	10.98	900	0.1436	0.7797	0.8391	0.9579	0.9848	0.4110	0.9437	0.7973	0.9406	0.7971	0.9992	0.9606	0.3205	0.8960	0.6965	0.8592	0.7279	0.9969	0.9573
0.066	11.22	920	0.1539	0.7602	0.8119	0.9550	0.9903	0.2791	0.9492	0.7574	0.9375	0.7709	0.9992	0.9619	0.2474	0.8899	0.6673	0.8483	0.7098	0.9965	0.9539
0.0779	11.46	940	0.1896	0.7475	0.8048	0.9477	0.9917	0.3417	0.9396	0.6879	0.9369	0.7371	0.9986	0.9605	0.2875	0.8896	0.5881	0.8216	0.6882	0.9969	0.9462
0.0909	11.71	960	0.2016	0.7581	0.8257	0.9487	0.9849	0.4425	0.9452	0.7322	0.9256	0.7510	0.9981	0.9592	0.3364	0.8887	0.6064	0.8278	0.6909	0.9970	0.9479
0.0822	11.95	980	0.2407	0.7470	0.8078	0.9454	0.9928	0.3925	0.9336	0.6305	0.9453	0.7617	0.9984	0.9550	0.3139	0.8877	0.5540	0.8142	0.7072	0.9972	0.9433
0.1049	12.2	1000	0.2448	0.7359	0.7949	0.9443	0.9894	0.3409	0.9527	0.6416	0.9398	0.7018	0.9984	0.9621	0.2790	0.8851	0.5527	0.8099	0.6652	0.9972	0.9423
0.1834	12.44	1020	0.2121	0.7612	0.8191	0.9488	0.9861	0.3745	0.9362	0.6795	0.9367	0.8215	0.9990	0.9565	0.3125	0.8919	0.5925	0.8167	0.7615	0.9969	0.9475
0.0333	12.68	1040	0.1935	0.7682	0.8387	0.9496	0.9827	0.4692	0.9358	0.7013	0.9291	0.8542	0.9989	0.9603	0.3430	0.8922	0.5996	0.8193	0.7656	0.9972	0.9488
0.2713	12.93	1060	0.1676	0.7788	0.8501	0.9529	0.9840	0.5007	0.9268	0.7626	0.9267	0.8513	0.9989	0.9569	0.3618	0.8878	0.6470	0.8365	0.7647	0.9971	0.9525
0.0427	13.17	1080	0.2242	0.7601	0.8202	0.9483	0.9852	0.3938	0.9421	0.6545	0.9445	0.8231	0.9978	0.9575	0.3142	0.8918	0.5805	0.8145	0.7654	0.9970	0.9468
0.0879	13.41	1100	0.1995	0.7594	0.8251	0.9480	0.9841	0.4413	0.9380	0.7219	0.9271	0.7648	0.9987	0.9584	0.3390	0.8913	0.5931	0.8225	0.7144	0.9972	0.9473
0.0407	13.66	1120	0.2324	0.7686	0.8378	0.9488	0.9838	0.5056	0.9468	0.6473	0.9440	0.8388	0.9983	0.9603	0.3675	0.8886	0.5823	0.8145	0.7696	0.9972	0.9472
0.0731	13.9	1140	0.2854	0.7574	0.8189	0.9463	0.9854	0.4337	0.9380	0.6259	0.9519	0.7993	0.9979	0.9575	0.3412	0.8917	0.5577	0.8090	0.7476	0.9970	0.9445
0.1051	14.15	1160	0.1882	0.7628	0.8221	0.9507	0.9873	0.3830	0.9174	0.7680	0.9312	0.7690	0.9986	0.9522	0.3209	0.8808	0.6379	0.8387	0.7118	0.9969	0.9501
0.0452	14.39	1180	0.1926	0.7674	0.8301	0.9519	0.9851	0.4195	0.9396	0.7465	0.9343	0.7878	0.9981	0.9591	0.3232	0.8918	0.6345	0.8339	0.7326	0.9970	0.9512
0.0466	14.63	1200	0.1992	0.7650	0.8347	0.9505	0.9852	0.4975	0.9281	0.7652	0.9354	0.7331	0.9981	0.9568	0.3570	0.8876	0.6320	0.8376	0.6868	0.9971	0.9500
0.0601	14.88	1220	0.1905	0.7697	0.8396	0.9513	0.9841	0.4874	0.9312	0.7682	0.9273	0.7805	0.9987	0.9575	0.3593	0.8879	0.6361	0.8378	0.7121	0.9971	0.9509
0.0727	15.12	1240	0.2181	0.7535	0.8228	0.9459	0.9842	0.4912	0.9381	0.6834	0.9384	0.7254	0.9988	0.9569	0.3571	0.8918	0.5717	0.8180	0.6817	0.9971	0.9446
0.0476	15.37	1260	0.2456	0.7502	0.8211	0.9450	0.9839	0.4846	0.9429	0.6684	0.9379	0.7319	0.9981	0.9592	0.3484	0.8939	0.5568	0.8149	0.6810	0.9972	0.9438
0.0939	15.61	1280	0.2353	0.7578	0.8313	0.9460	0.9828	0.5117	0.9206	0.6833	0.9387	0.7828	0.9991	0.9565	0.3652	0.8874	0.5722	0.8186	0.7078	0.9969	0.9451

Framework versions

• Transformers 4.37.0
• Pytorch 2.1.2
• Datasets 2.18.0
• Tokenizers 0.15.1