This model is a fine-tuned version of peldrak/segformer-finetuned-coasts-final on the peldrak/riviera_labeled_split2 dataset. It achieves the following results on the evaluation set:

Loss: 0.2172
Mean Iou: 0.5684
Mean Accuracy: 0.7041
Overall Accuracy: 0.9037
Accuracy Water: 0.9782
Accuracy Whitewater: 0.0031
Accuracy Sand: 0.9694
Accuracy Rocky Terrain: 0.8474
Accuracy Agricultural: 0.8818
Accuracy Vegetation: 0.9453
Accuracy Road: 0.5085
Accuracy Development: 0.7910
Accuracy Other Natural Terrain: 0.4118
Accuracy Unknown: nan
Iou Water: 0.9541
Iou Whitewater: 0.0031
Iou Sand: 0.8472
Iou Rocky Terrain: 0.7939
Iou Agricultural: 0.7881
Iou Vegetation: 0.8610
Iou Road: 0.4506
Iou Development: 0.6761
Iou Other Natural Terrain: 0.3104
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: 30

Training results

Training Loss	Epoch	Step	Validation Loss	Mean Iou	Mean Accuracy	Overall Accuracy	Accuracy Water	Accuracy Whitewater	Accuracy Sand	Accuracy Rocky Terrain	Accuracy Agricultural	Accuracy Vegetation	Accuracy Road	Accuracy Development	Accuracy Other Natural Terrain	Accuracy Unknown	Iou Water	Iou Whitewater	Iou Sand	Iou Rocky Terrain	Iou Agricultural	Iou Vegetation	Iou Road	Iou Development	Iou Other Natural Terrain
1.6151	0.24	20	1.4156	0.0850	0.1749	0.3514	0.9391	0.0113	0.0	0.1553	0.0248	0.1658	0.0035	0.1890	0.0857	nan	0.3854	0.0012	0.0	0.1345	0.0110	0.1615	0.0017	0.1034	0.0518
1.3149	0.49	40	1.0378	0.2239	0.3363	0.6043	0.9571	0.0318	0.2679	0.5472	0.0248	0.6780	0.0	0.4390	0.0811	nan	0.6123	0.0184	0.2520	0.5089	0.0141	0.5632	0.0	0.2247	0.0456
1.1554	0.73	60	0.7989	0.3289	0.4401	0.7722	0.9818	0.0	0.8295	0.6482	0.0581	0.9606	0.0008	0.4676	0.0146	nan	0.8261	0.0	0.7142	0.6253	0.0523	0.7241	0.0008	0.3334	0.0130
1.0181	0.98	80	0.6544	0.3592	0.4747	0.8043	0.9692	0.0	0.8957	0.7580	0.3678	0.9693	0.0001	0.3088	0.0032	nan	0.9121	0.0	0.6664	0.7171	0.2835	0.7605	0.0001	0.2489	0.0031
1.119	1.22	100	0.5360	0.3739	0.4880	0.8252	0.9764	0.0	0.9123	0.7932	0.5894	0.9776	0.0	0.1422	0.0008	nan	0.9300	0.0	0.7082	0.7339	0.4630	0.7700	0.0	0.1329	0.0008
0.8191	1.46	120	0.4732	0.4115	0.5270	0.8487	0.9860	0.0	0.8930	0.8134	0.7485	0.9750	0.0	0.3256	0.0019	nan	0.9360	0.0	0.7421	0.7490	0.6024	0.8003	0.0	0.2832	0.0018
0.7274	1.71	140	0.4744	0.4010	0.5172	0.8459	0.9847	0.0	0.8945	0.7845	0.7891	0.9754	0.0	0.2258	0.0011	nan	0.9485	0.0	0.7668	0.7512	0.5327	0.8076	0.0	0.2025	0.0011
0.3963	1.95	160	0.4212	0.4143	0.5289	0.8491	0.9835	0.0	0.9249	0.8669	0.6654	0.9796	0.0	0.3312	0.0084	nan	0.9514	0.0	0.7786	0.7736	0.5481	0.7861	0.0	0.2971	0.0082
0.8763	2.2	180	0.3832	0.4210	0.5390	0.8587	0.9798	0.0	0.9471	0.7914	0.9032	0.9688	0.0	0.2596	0.0012	nan	0.9483	0.0	0.8401	0.7517	0.6183	0.8151	0.0	0.2348	0.0012
0.868	2.44	200	0.3764	0.4061	0.5216	0.8472	0.9793	0.0	0.9666	0.8200	0.7151	0.9764	0.0	0.2267	0.0103	nan	0.9514	0.0	0.6926	0.7764	0.6398	0.7901	0.0	0.2007	0.0102
0.7492	2.68	220	0.3502	0.4267	0.5626	0.8629	0.9742	0.0	0.9717	0.8473	0.9721	0.9408	0.0	0.3376	0.0200	nan	0.9493	0.0	0.7071	0.7902	0.6701	0.8511	0.0	0.2796	0.0192
0.9957	2.93	240	0.3382	0.4572	0.5778	0.8688	0.9842	0.0	0.9534	0.8633	0.7888	0.9593	0.0	0.5910	0.0602	nan	0.9527	0.0	0.8231	0.8012	0.6499	0.8112	0.0	0.4790	0.0545
0.416	3.17	260	0.3426	0.4475	0.5700	0.8617	0.9725	0.0	0.9648	0.8810	0.7076	0.9640	0.0	0.5665	0.0738	nan	0.9499	0.0	0.7928	0.7900	0.6095	0.8113	0.0	0.4584	0.0628
0.3574	3.41	280	0.3294	0.4534	0.5701	0.8659	0.9835	0.0	0.9498	0.7931	0.7716	0.9674	0.0	0.6177	0.0481	nan	0.9441	0.0	0.8365	0.7578	0.6388	0.8089	0.0	0.5038	0.0438
0.2504	3.66	300	0.3045	0.4381	0.5590	0.8596	0.9787	0.0	0.9376	0.8223	0.8269	0.9575	0.0	0.4316	0.0765	nan	0.9492	0.0	0.7856	0.7767	0.6163	0.8214	0.0	0.3681	0.0637
0.3342	3.9	320	0.3037	0.4675	0.5986	0.8712	0.9712	0.0	0.9625	0.9100	0.7707	0.9492	0.0	0.7293	0.0942	nan	0.9492	0.0	0.8752	0.7814	0.6541	0.8159	0.0	0.5153	0.0836
0.7272	4.15	340	0.3025	0.4617	0.5795	0.8694	0.9742	0.0	0.9665	0.8396	0.7763	0.9678	0.0	0.6223	0.0689	nan	0.9486	0.0	0.8327	0.7980	0.6451	0.8157	0.0	0.5163	0.0605
0.452	4.39	360	0.2799	0.4589	0.5891	0.8688	0.9723	0.0	0.9796	0.8554	0.8382	0.9439	0.0	0.5294	0.1836	nan	0.9510	0.0	0.7637	0.7978	0.6793	0.8367	0.0	0.4202	0.1405
0.2372	4.63	380	0.2749	0.4642	0.5891	0.8765	0.9755	0.0	0.9684	0.8436	0.9190	0.9569	0.0	0.5282	0.1100	nan	0.9493	0.0	0.7809	0.7960	0.7737	0.8389	0.0	0.4060	0.0969
1.3141	4.88	400	0.2875	0.4723	0.6004	0.8726	0.9700	0.0	0.9573	0.8714	0.7878	0.9529	0.0	0.7587	0.1054	nan	0.9449	0.0	0.8715	0.7964	0.6752	0.8177	0.0	0.5243	0.0929
0.605	5.12	420	0.2752	0.4653	0.6031	0.8722	0.9752	0.0	0.9356	0.8359	0.9082	0.9332	0.0010	0.7404	0.0986	nan	0.9462	0.0	0.8710	0.7879	0.6188	0.8482	0.0010	0.4905	0.0892
0.3456	5.37	440	0.2907	0.4721	0.5955	0.8717	0.9761	0.0	0.9655	0.8499	0.7721	0.9535	0.0	0.6785	0.1641	nan	0.9531	0.0	0.8718	0.7986	0.6161	0.8207	0.0	0.5316	0.1291
0.4065	5.61	460	0.2588	0.4707	0.6035	0.8751	0.9735	0.0	0.9728	0.8768	0.8025	0.9485	0.0	0.5470	0.3100	nan	0.9528	0.0	0.7724	0.8075	0.6647	0.8490	0.0	0.4260	0.2346
0.5515	5.85	480	0.2509	0.4817	0.6075	0.8803	0.9607	0.0	0.9654	0.8643	0.8910	0.9597	0.0000	0.6962	0.1303	nan	0.9444	0.0	0.8502	0.7854	0.7400	0.8362	0.0000	0.5515	0.1096
0.7913	6.1	500	0.2392	0.4835	0.6074	0.8854	0.9772	0.0	0.9578	0.8821	0.9384	0.9594	0.0244	0.6102	0.1169	nan	0.9511	0.0	0.8279	0.8049	0.7936	0.8365	0.0244	0.4897	0.1072
0.3186	6.34	520	0.2556	0.4736	0.6009	0.8775	0.9769	0.0	0.9765	0.8601	0.9007	0.9478	0.0386	0.5438	0.1636	nan	0.9521	0.0	0.7805	0.8029	0.7483	0.8328	0.0385	0.4392	0.1420
0.2549	6.59	540	0.2342	0.5138	0.6555	0.8909	0.9748	0.0	0.9533	0.8514	0.8781	0.9276	0.0280	0.7772	0.5094	nan	0.9512	0.0	0.8886	0.7891	0.7547	0.8588	0.0279	0.5303	0.3371
0.3034	6.83	560	0.2574	0.4892	0.6058	0.8794	0.9819	0.0	0.9563	0.7993	0.7777	0.9666	0.0356	0.7305	0.2041	nan	0.9505	0.0	0.8925	0.7697	0.6993	0.8226	0.0355	0.5656	0.1561
0.2759	7.07	580	0.2417	0.5055	0.6355	0.8899	0.9735	0.0	0.9789	0.8397	0.9129	0.9483	0.0845	0.6354	0.3465	nan	0.9530	0.0	0.8171	0.7897	0.7572	0.8530	0.0840	0.5311	0.2698
0.4661	7.32	600	0.2272	0.5198	0.6647	0.8944	0.9787	0.0	0.9780	0.8505	0.8440	0.9286	0.0697	0.6809	0.6515	nan	0.9552	0.0	0.8088	0.7960	0.7438	0.8682	0.0691	0.5247	0.4328
0.1629	7.56	620	0.2331	0.5248	0.6639	0.8916	0.9782	0.0	0.9591	0.8574	0.8627	0.9262	0.1268	0.7364	0.5286	nan	0.9539	0.0	0.8723	0.8011	0.6613	0.8493	0.1252	0.5734	0.4116
0.1212	7.8	640	0.2431	0.5138	0.6604	0.8841	0.9727	0.0	0.9811	0.8664	0.7576	0.9201	0.1052	0.7484	0.5919	nan	0.9543	0.0	0.8160	0.7970	0.6137	0.8406	0.1039	0.5809	0.4314
0.4444	8.05	660	0.2277	0.5174	0.6470	0.8938	0.9807	0.0	0.9616	0.8141	0.9088	0.9461	0.0907	0.7961	0.3247	nan	0.9518	0.0	0.8687	0.7832	0.7780	0.8490	0.0901	0.5943	0.2586
0.2176	8.29	680	0.2123	0.5327	0.6734	0.9001	0.9774	0.0	0.9701	0.8768	0.8724	0.9365	0.1111	0.8156	0.5004	nan	0.9541	0.0	0.8617	0.8040	0.7823	0.8657	0.1092	0.5785	0.3715
0.4515	8.54	700	0.2545	0.5198	0.6586	0.8886	0.9852	0.0	0.9652	0.8208	0.9443	0.9214	0.2593	0.7064	0.3252	nan	0.9517	0.0	0.8370	0.7896	0.6680	0.8531	0.2441	0.5716	0.2833
0.2276	8.78	720	0.2427	0.5161	0.6488	0.8869	0.9730	0.0	0.9757	0.8662	0.8668	0.9466	0.2834	0.7261	0.2011	nan	0.9521	0.0	0.8300	0.8106	0.7177	0.8432	0.2632	0.5765	0.1681
0.1664	9.02	740	0.2403	0.5174	0.6477	0.8924	0.9731	0.0	0.9722	0.8425	0.8760	0.9551	0.1686	0.7817	0.2597	nan	0.9516	0.0	0.8776	0.7910	0.7536	0.8527	0.1648	0.5767	0.2062
0.1256	9.27	760	0.2232	0.5293	0.6719	0.8913	0.9753	0.0	0.9694	0.8536	0.8344	0.9224	0.1563	0.7175	0.6187	nan	0.9520	0.0	0.8567	0.7925	0.7405	0.8617	0.1530	0.5946	0.3420
0.336	9.51	780	0.2125	0.5451	0.6873	0.9017	0.9794	0.0	0.9741	0.8796	0.8795	0.9323	0.2422	0.7836	0.5153	nan	0.9522	0.0	0.8579	0.7945	0.7699	0.8705	0.2256	0.5934	0.3870
0.2018	9.76	800	0.2224	0.5404	0.6681	0.8984	0.9822	0.0	0.9652	0.8555	0.8950	0.9519	0.3185	0.7221	0.3220	nan	0.9531	0.0	0.8535	0.8067	0.7567	0.8584	0.2949	0.6183	0.2621
0.1682	10.0	820	0.2187	0.5320	0.6820	0.8924	0.9718	0.0	0.9814	0.8696	0.8334	0.9177	0.1967	0.8444	0.5228	nan	0.9521	0.0	0.8742	0.7917	0.7417	0.8515	0.1852	0.5529	0.3707
0.176	10.24	840	0.2228	0.5335	0.6621	0.8964	0.9811	0.0	0.9741	0.8623	0.8578	0.9513	0.2482	0.7291	0.3547	nan	0.9553	0.0	0.8520	0.8082	0.7474	0.8587	0.2369	0.6102	0.2662
0.4021	10.49	860	0.2221	0.5370	0.6793	0.8973	0.9742	0.0	0.9634	0.8676	0.9133	0.9356	0.2970	0.7645	0.3982	nan	0.9533	0.0	0.8641	0.7969	0.7135	0.8725	0.2745	0.5827	0.3125
0.2189	10.73	880	0.2594	0.5157	0.6489	0.8857	0.9846	0.0	0.9684	0.8699	0.7198	0.9467	0.2024	0.8028	0.3458	nan	0.9562	0.0	0.8654	0.8160	0.6462	0.8367	0.1928	0.5791	0.2648
0.218	10.98	900	0.2445	0.5208	0.6623	0.8853	0.9734	0.0	0.9834	0.8650	0.7271	0.9380	0.2457	0.7985	0.4296	nan	0.9561	0.0	0.8233	0.8043	0.6560	0.8406	0.2276	0.5827	0.3177
0.3402	11.22	920	0.2789	0.5181	0.6438	0.8821	0.9728	0.0	0.9665	0.8725	0.6840	0.9599	0.2502	0.7863	0.3024	nan	0.9507	0.0	0.8598	0.8023	0.6413	0.8265	0.2387	0.6396	0.2225
0.2232	11.46	940	0.2219	0.5387	0.6810	0.8920	0.9705	0.0	0.9498	0.9055	0.7311	0.9404	0.2678	0.7632	0.6004	nan	0.9490	0.0	0.8674	0.7808	0.6552	0.8561	0.2553	0.6268	0.3965
0.1727	11.71	960	0.2741	0.5328	0.6593	0.8880	0.9812	0.0	0.9682	0.8166	0.7600	0.9648	0.4642	0.7672	0.2112	nan	0.9554	0.0	0.8701	0.7751	0.6763	0.8300	0.4070	0.6312	0.1824
0.3027	11.95	980	0.2126	0.5477	0.6784	0.9005	0.9774	0.0	0.9702	0.8705	0.8597	0.9570	0.3690	0.7887	0.3127	nan	0.9542	0.0	0.8645	0.8041	0.7646	0.8582	0.3354	0.6361	0.2600
0.2245	12.2	1000	0.2490	0.5254	0.6482	0.8899	0.9833	0.0	0.9638	0.8135	0.7925	0.9626	0.2752	0.8146	0.2286	nan	0.9548	0.0	0.8727	0.7852	0.7239	0.8352	0.2619	0.6371	0.1834
0.1551	12.44	1020	0.2332	0.5364	0.6875	0.8924	0.9766	0.0	0.9856	0.8760	0.8783	0.9118	0.3322	0.6270	0.5995	nan	0.9571	0.0	0.7598	0.8028	0.7604	0.8562	0.2982	0.5043	0.4247
0.3828	12.68	1040	0.2138	0.5437	0.6753	0.8979	0.9799	0.0	0.9477	0.8984	0.8723	0.9574	0.4473	0.6534	0.3209	nan	0.9542	0.0	0.8187	0.8072	0.7887	0.8580	0.3793	0.5674	0.2640
0.0929	12.93	1060	0.2544	0.5186	0.6501	0.8855	0.9783	0.0	0.9709	0.8634	0.7491	0.9542	0.3067	0.6526	0.3757	nan	0.9549	0.0	0.8048	0.8069	0.6771	0.8418	0.2878	0.5185	0.2948
0.2362	13.17	1080	0.2353	0.5278	0.6661	0.8877	0.9763	0.0	0.9807	0.8577	0.8281	0.9374	0.3786	0.6547	0.3816	nan	0.9531	0.0	0.7907	0.8045	0.7260	0.8447	0.3395	0.5196	0.3001
0.1954	13.41	1100	0.2073	0.5580	0.7009	0.9019	0.9762	0.0	0.9681	0.8902	0.8184	0.9348	0.3367	0.7731	0.6111	nan	0.9548	0.0	0.8642	0.8120	0.7373	0.8679	0.3120	0.6404	0.3918
0.2412	13.66	1120	0.2144	0.5520	0.6946	0.9022	0.9808	0.0	0.9764	0.8460	0.8418	0.9352	0.3048	0.7065	0.6605	nan	0.9554	0.0	0.8265	0.7963	0.7536	0.8773	0.2868	0.6078	0.4162
0.2167	13.9	1140	0.2111	0.5577	0.6947	0.9005	0.9753	0.0	0.9744	0.8242	0.8303	0.9442	0.3808	0.7631	0.5597	nan	0.9516	0.0	0.8487	0.7825	0.7616	0.8716	0.3440	0.6640	0.3534
0.0952	14.15	1160	0.2637	0.5279	0.6724	0.8863	0.9740	0.0	0.9860	0.8767	0.7933	0.9334	0.4219	0.5904	0.4754	nan	0.9531	0.0	0.7480	0.8056	0.7181	0.8535	0.3615	0.4894	0.3497
0.1032	14.39	1180	0.2484	0.5403	0.6730	0.8921	0.9769	0.0	0.9724	0.8537	0.7452	0.9591	0.4251	0.8313	0.2934	nan	0.9553	0.0	0.8613	0.7993	0.6934	0.8405	0.3786	0.6417	0.2331
0.2301	14.63	1200	0.2167	0.5450	0.6843	0.8969	0.9752	0.0	0.9785	0.8525	0.9088	0.9402	0.4511	0.6742	0.3782	nan	0.9534	0.0	0.8015	0.7952	0.7726	0.8610	0.3911	0.5705	0.3044
0.3602	14.88	1220	0.2154	0.5522	0.7015	0.8960	0.9738	0.0	0.9770	0.8642	0.7977	0.9202	0.3336	0.7938	0.6533	nan	0.9495	0.0	0.8433	0.7947	0.7288	0.8638	0.3085	0.6520	0.3817
0.1081	15.12	1240	0.2512	0.5321	0.6634	0.8872	0.9717	0.0	0.9707	0.8631	0.7590	0.9627	0.4839	0.6768	0.2828	nan	0.9508	0.0	0.8181	0.7973	0.6834	0.8401	0.4158	0.5872	0.2285
0.138	15.37	1260	0.1995	0.5660	0.7144	0.9028	0.9747	0.0	0.9687	0.8627	0.8566	0.9240	0.3978	0.8400	0.6048	nan	0.9511	0.0	0.8700	0.7965	0.7700	0.8698	0.3606	0.6542	0.3876
0.1254	15.61	1280	0.2302	0.5517	0.6866	0.8994	0.9652	0.0	0.9730	0.8691	0.9000	0.9510	0.4196	0.7253	0.3762	nan	0.9483	0.0	0.8413	0.7915	0.7688	0.8603	0.3770	0.6323	0.2976
0.0939	15.85	1300	0.2252	0.5506	0.6884	0.8930	0.9853	0.0	0.9585	0.8488	0.7720	0.9348	0.4332	0.7397	0.5235	nan	0.9494	0.0	0.8510	0.8047	0.6791	0.8478	0.3833	0.6327	0.3582
0.079	16.1	1320	0.2439	0.5381	0.6686	0.8888	0.9764	0.0	0.9686	0.8422	0.7464	0.9577	0.4522	0.6807	0.3930	nan	0.9544	0.0	0.8271	0.7930	0.6805	0.8475	0.3958	0.6125	0.2706
0.1409	16.34	1340	0.2244	0.5567	0.7105	0.8928	0.9660	0.0	0.9787	0.8779	0.7602	0.9191	0.4474	0.7951	0.6504	nan	0.9501	0.0	0.8409	0.7902	0.6957	0.8539	0.3926	0.6588	0.3851
0.3714	16.59	1360	0.2480	0.5451	0.6732	0.8965	0.9827	0.0	0.9692	0.8453	0.9122	0.9530	0.4942	0.7125	0.1900	nan	0.9553	0.0	0.8439	0.8058	0.7744	0.8417	0.4262	0.6336	0.1704
0.2288	16.83	1380	0.2100	0.5634	0.7029	0.9011	0.9767	0.0	0.9704	0.8758	0.8995	0.9382	0.5412	0.7601	0.3645	nan	0.9520	0.0	0.8497	0.8046	0.7688	0.8513	0.4448	0.6575	0.3057
0.2297	17.07	1400	0.2083	0.5629	0.7053	0.9023	0.9720	0.0	0.9721	0.8785	0.9438	0.9305	0.4819	0.7221	0.4466	nan	0.9514	0.0	0.8451	0.7942	0.7728	0.8596	0.4149	0.6409	0.3503
0.1961	17.32	1420	0.2102	0.5588	0.6962	0.9023	0.9768	0.0	0.9704	0.8353	0.8819	0.9435	0.4188	0.7559	0.4831	nan	0.9528	0.0	0.8311	0.7837	0.7888	0.8673	0.3779	0.6372	0.3493
0.1938	17.56	1440	0.2151	0.5554	0.6917	0.8999	0.9775	0.0	0.9638	0.8859	0.8447	0.9448	0.4199	0.8143	0.3742	nan	0.9525	0.0	0.8517	0.8075	0.7688	0.8574	0.3760	0.6574	0.2831
0.283	17.8	1460	0.2285	0.5502	0.6886	0.8971	0.9752	0.0	0.9658	0.8285	0.7796	0.9470	0.3540	0.8388	0.5087	nan	0.9553	0.0	0.8671	0.7779	0.7223	0.8636	0.3317	0.6615	0.3227
0.2744	18.05	1480	0.2301	0.5532	0.6929	0.8974	0.9741	0.0	0.9831	0.8644	0.7817	0.9473	0.4503	0.7601	0.4751	nan	0.9550	0.0	0.8186	0.7977	0.7268	0.8598	0.3918	0.6399	0.3421
0.0956	18.29	1500	0.2140	0.5637	0.7149	0.9026	0.9717	0.0	0.9813	0.8585	0.9085	0.9223	0.4672	0.7189	0.6055	nan	0.9535	0.0	0.8169	0.7947	0.7597	0.8727	0.3985	0.6146	0.4264
0.0477	18.54	1520	0.2209	0.5551	0.6878	0.8975	0.9692	0.0	0.9696	0.8742	0.8338	0.9573	0.5019	0.7648	0.3190	nan	0.9495	0.0	0.8549	0.7934	0.7518	0.8579	0.4426	0.6592	0.2416
0.3598	18.78	1540	0.2430	0.5330	0.6704	0.8890	0.9762	0.0	0.9813	0.8502	0.8685	0.9383	0.4623	0.5791	0.3782	nan	0.9527	0.0	0.7785	0.7953	0.7300	0.8520	0.4042	0.5312	0.2861
0.1007	19.02	1560	0.2182	0.5626	0.7106	0.8983	0.9772	0.0	0.9776	0.8621	0.8359	0.9232	0.4950	0.7717	0.5527	nan	0.9560	0.0	0.8457	0.7943	0.7189	0.8602	0.4321	0.6575	0.3613
0.1631	19.27	1580	0.2335	0.5543	0.6887	0.8983	0.9767	0.0	0.9741	0.8444	0.8350	0.9533	0.5018	0.6999	0.4135	nan	0.9555	0.0	0.8328	0.7923	0.7482	0.8629	0.4291	0.6299	0.2924
0.4344	19.51	1600	0.2087	0.5602	0.6987	0.9025	0.9797	0.0	0.9657	0.8446	0.8997	0.9404	0.4632	0.7297	0.4654	nan	0.9533	0.0	0.8205	0.7975	0.7871	0.8685	0.4160	0.6058	0.3531
0.0956	19.76	1620	0.2287	0.5574	0.6894	0.9007	0.9774	0.0	0.9667	0.8465	0.8975	0.9511	0.4834	0.8058	0.2760	nan	0.9546	0.0	0.8582	0.7967	0.7856	0.8517	0.4333	0.6646	0.2291
0.1634	20.0	1640	0.2126	0.5576	0.6997	0.9003	0.9725	0.0	0.9783	0.8538	0.8832	0.9374	0.4600	0.7096	0.5020	nan	0.9523	0.0	0.8042	0.7903	0.7842	0.8664	0.4073	0.5994	0.3719
0.1048	20.24	1660	0.2254	0.5588	0.6831	0.9017	0.9784	0.0	0.9590	0.8543	0.8564	0.9646	0.4542	0.7924	0.2885	nan	0.9534	0.0	0.8616	0.7995	0.7886	0.8552	0.4168	0.6842	0.2289
0.1636	20.49	1680	0.2063	0.5713	0.7097	0.9046	0.9746	0.0	0.9741	0.8597	0.8250	0.9483	0.5023	0.7629	0.5409	nan	0.9537	0.0	0.8468	0.7972	0.7660	0.8728	0.4351	0.6817	0.3597
0.0753	20.73	1700	0.2005	0.5738	0.7122	0.9053	0.9742	0.0	0.9762	0.8687	0.8586	0.9470	0.5485	0.7920	0.4442	nan	0.9536	0.0	0.8456	0.8049	0.7854	0.8662	0.4710	0.6828	0.3289
0.1346	20.98	1720	0.1977	0.5762	0.7246	0.9065	0.9759	0.0	0.9775	0.8651	0.8993	0.9239	0.5007	0.7995	0.5794	nan	0.9548	0.0	0.8379	0.7961	0.7913	0.8679	0.4392	0.6660	0.4089
0.1527	21.22	1740	0.2123	0.5662	0.7087	0.9025	0.9759	0.0002	0.9621	0.8524	0.9264	0.9353	0.5505	0.7677	0.4078	nan	0.9542	0.0002	0.8533	0.7906	0.7497	0.8610	0.4724	0.6514	0.3290
0.1149	21.46	1760	0.2262	0.5623	0.6926	0.9003	0.9734	0.0	0.9632	0.8380	0.8228	0.9623	0.5167	0.7898	0.3669	nan	0.9523	0.0	0.8536	0.7847	0.7638	0.8602	0.4552	0.6804	0.2725
0.3336	21.71	1780	0.2176	0.5647	0.7053	0.9023	0.9713	0.0003	0.9803	0.8546	0.8731	0.9426	0.4990	0.7902	0.4361	nan	0.9543	0.0003	0.8273	0.7953	0.7841	0.8632	0.4397	0.6565	0.3267
0.0924	21.95	1800	0.2271	0.5608	0.6933	0.9011	0.9834	0.0	0.9709	0.8338	0.8657	0.9472	0.4902	0.7430	0.4059	nan	0.9577	0.0	0.8354	0.7946	0.7788	0.8591	0.4359	0.6520	0.2945
0.256	22.2	1820	0.2140	0.5659	0.7010	0.9038	0.9820	0.0	0.9697	0.8401	0.9119	0.9435	0.5189	0.7867	0.3560	nan	0.9560	0.0	0.8462	0.7987	0.8078	0.8582	0.4515	0.6594	0.2817
0.202	22.44	1840	0.2358	0.5589	0.6907	0.9001	0.9766	0.0	0.9760	0.8359	0.8945	0.9526	0.5406	0.7420	0.2981	nan	0.9553	0.0	0.8391	0.7915	0.7924	0.8522	0.4572	0.6613	0.2397
0.1456	22.68	1860	0.2115	0.5669	0.7125	0.9016	0.9762	0.0	0.9801	0.8582	0.8871	0.9267	0.5130	0.8054	0.4657	nan	0.9556	0.0	0.8310	0.8008	0.7886	0.8585	0.4425	0.6588	0.3335
0.1198	22.93	1880	0.2233	0.5631	0.6997	0.9020	0.9745	0.0	0.9731	0.8563	0.9047	0.9484	0.5580	0.7858	0.2967	nan	0.9529	0.0	0.8405	0.8011	0.7914	0.8561	0.4715	0.6652	0.2520
0.0804	23.17	1900	0.2075	0.5719	0.7090	0.9047	0.9791	0.0	0.9686	0.8542	0.8664	0.9434	0.5174	0.7723	0.4800	nan	0.9552	0.0	0.8456	0.7995	0.7842	0.8636	0.4512	0.6765	0.3429
0.0779	23.41	1920	0.2217	0.5630	0.7025	0.9007	0.9736	0.0001	0.9774	0.8596	0.8837	0.9422	0.5470	0.7558	0.3832	nan	0.9544	0.0001	0.8258	0.7991	0.7705	0.8559	0.4602	0.6611	0.3032
0.1159	23.66	1940	0.2122	0.5690	0.7134	0.9030	0.9772	0.0002	0.9767	0.8574	0.8913	0.9275	0.4955	0.7959	0.4990	nan	0.9538	0.0002	0.8307	0.8004	0.7766	0.8612	0.4343	0.6650	0.3683
0.1	23.9	1960	0.1988	0.5762	0.7116	0.9078	0.9834	0.0	0.9523	0.8439	0.8919	0.9463	0.5231	0.8031	0.4608	nan	0.9543	0.0	0.8620	0.7983	0.7991	0.8662	0.4611	0.6719	0.3492
0.1052	24.15	1980	0.2147	0.5672	0.7012	0.9048	0.9778	0.0	0.9704	0.8441	0.8915	0.9499	0.5004	0.7622	0.4146	nan	0.9550	0.0	0.8396	0.7916	0.8009	0.8624	0.4403	0.6608	0.3219
0.1478	24.39	2000	0.2206	0.5638	0.6950	0.9040	0.9815	0.0	0.9657	0.8313	0.8904	0.9530	0.4869	0.7536	0.3929	nan	0.9557	0.0	0.8433	0.7884	0.7959	0.8606	0.4347	0.6515	0.3081
0.1752	24.63	2020	0.2048	0.5700	0.7085	0.9058	0.9793	0.0	0.9668	0.8566	0.9095	0.9430	0.5319	0.7519	0.4372	nan	0.9535	0.0	0.8458	0.7987	0.7801	0.8670	0.4597	0.6460	0.3492
0.0451	24.88	2040	0.2171	0.5666	0.7053	0.9025	0.9799	0.0	0.9748	0.8552	0.8761	0.9405	0.5371	0.7711	0.4131	nan	0.9545	0.0	0.8309	0.8008	0.7878	0.8586	0.4534	0.6644	0.3154
0.4243	25.12	2060	0.2341	0.5595	0.6916	0.8999	0.9746	0.0	0.9764	0.8444	0.8887	0.9491	0.4996	0.7703	0.3211	nan	0.9515	0.0	0.8327	0.7956	0.7984	0.8537	0.4397	0.6689	0.2545
0.0585	25.37	2080	0.2213	0.5660	0.7007	0.9033	0.9820	0.0	0.9652	0.8551	0.9015	0.9435	0.5187	0.7915	0.3485	nan	0.9542	0.0	0.8466	0.8024	0.7984	0.8564	0.4574	0.6699	0.2748
0.2001	25.61	2100	0.2246	0.5644	0.7026	0.9009	0.9783	0.0	0.9724	0.8691	0.8753	0.9397	0.5349	0.7871	0.3667	nan	0.9539	0.0	0.8358	0.8023	0.7863	0.8541	0.4617	0.6681	0.2817
0.0681	25.85	2120	0.2243	0.5653	0.7001	0.9033	0.9774	0.0071	0.9602	0.8607	0.8942	0.9492	0.5104	0.8085	0.3328	nan	0.9538	0.0071	0.8526	0.7975	0.7950	0.8573	0.4517	0.6706	0.2679
0.3011	26.1	2140	0.2142	0.5695	0.7099	0.9029	0.9755	0.0022	0.9730	0.8624	0.8863	0.9383	0.5417	0.7982	0.4115	nan	0.9541	0.0021	0.8424	0.8006	0.7913	0.8590	0.4633	0.6755	0.3067
0.1124	26.34	2160	0.2134	0.5678	0.7069	0.9014	0.9740	0.0097	0.9692	0.8475	0.8710	0.9399	0.5086	0.8119	0.4309	nan	0.9526	0.0097	0.8497	0.7935	0.7773	0.8598	0.4480	0.6745	0.3125
0.2631	26.59	2180	0.2171	0.5685	0.7043	0.9042	0.9764	0.0165	0.9626	0.8486	0.8985	0.9481	0.5077	0.8124	0.3682	nan	0.9540	0.0164	0.8554	0.7937	0.7880	0.8606	0.4499	0.6734	0.2935
0.0783	26.83	2200	0.2094	0.5699	0.7120	0.9031	0.9788	0.0	0.9649	0.8464	0.9089	0.9335	0.5525	0.8184	0.4045	nan	0.9525	0.0	0.8521	0.7966	0.7837	0.8604	0.4736	0.6675	0.3123
0.0412	27.07	2220	0.2115	0.5688	0.7096	0.9041	0.9772	0.0057	0.9679	0.8448	0.8925	0.9363	0.4727	0.8228	0.4667	nan	0.9545	0.0057	0.8544	0.7909	0.7903	0.8633	0.4230	0.6677	0.3380
0.096	27.32	2240	0.2224	0.5626	0.6939	0.9029	0.9788	0.0	0.9699	0.8440	0.8945	0.9502	0.4758	0.7877	0.3443	nan	0.9551	0.0	0.8461	0.7956	0.7958	0.8576	0.4303	0.6747	0.2704
0.1542	27.56	2260	0.2251	0.5646	0.6958	0.9027	0.9755	0.0040	0.9674	0.8465	0.9004	0.9548	0.5310	0.7762	0.3064	nan	0.9531	0.0040	0.8489	0.7935	0.7997	0.8566	0.4623	0.6790	0.2493
0.2322	27.8	2280	0.2243	0.5641	0.6943	0.9029	0.9739	0.0024	0.9733	0.8549	0.8847	0.9570	0.5096	0.7569	0.3360	nan	0.9533	0.0024	0.8427	0.7961	0.7998	0.8584	0.4475	0.6741	0.2668
0.1025	28.05	2300	0.2217	0.5665	0.7022	0.9034	0.9726	0.0077	0.9750	0.8541	0.9116	0.9503	0.5514	0.7723	0.3243	nan	0.9519	0.0077	0.8415	0.7960	0.7986	0.8598	0.4700	0.6711	0.2689
0.1405	28.29	2320	0.2244	0.5680	0.7009	0.9042	0.9761	0.0087	0.9650	0.8600	0.8864	0.9543	0.5317	0.7668	0.3590	nan	0.9539	0.0087	0.8512	0.7963	0.7881	0.8603	0.4623	0.6746	0.2846
0.1002	28.54	2340	0.2165	0.5682	0.7088	0.9031	0.9742	0.0035	0.9769	0.8598	0.8865	0.9408	0.5402	0.7832	0.4139	nan	0.9535	0.0035	0.8365	0.7943	0.7853	0.8610	0.4612	0.6691	0.3179
0.0803	28.78	2360	0.2233	0.5655	0.7000	0.9019	0.9759	0.0059	0.9706	0.8529	0.8577	0.9497	0.5112	0.7560	0.4199	nan	0.9541	0.0059	0.8452	0.7923	0.7727	0.8604	0.4468	0.6716	0.3062
0.1149	29.02	2380	0.2215	0.5663	0.7008	0.9027	0.9749	0.0078	0.9712	0.8512	0.8789	0.9503	0.5218	0.7721	0.3787	nan	0.9534	0.0078	0.8440	0.7935	0.7823	0.8596	0.4542	0.6740	0.2941
0.0773	29.27	2400	0.2228	0.5675	0.7068	0.9027	0.9762	0.0070	0.9763	0.8517	0.8750	0.9405	0.5117	0.7937	0.4288	nan	0.9547	0.0070	0.8381	0.7930	0.7838	0.8606	0.4480	0.6735	0.3166
0.1085	29.51	2420	0.2225	0.5650	0.6974	0.9033	0.9811	0.0	0.9693	0.8404	0.8858	0.9493	0.5061	0.7632	0.3816	nan	0.9550	0.0	0.8423	0.7940	0.7873	0.8597	0.4464	0.6708	0.2944
0.0874	29.76	2440	0.2147	0.5680	0.7047	0.9033	0.9776	0.0012	0.9709	0.8514	0.8785	0.9432	0.5078	0.7886	0.4235	nan	0.9536	0.0012	0.8450	0.7948	0.7865	0.8610	0.4482	0.6751	0.3149
0.1308	30.0	2460	0.2172	0.5684	0.7041	0.9037	0.9782	0.0031	0.9694	0.8474	0.8818	0.9453	0.5085	0.7910	0.4118	nan	0.9541	0.0031	0.8472	0.7939	0.7881	0.8610	0.4506	0.6761	0.3104

Framework versions

Transformers 4.35.0
Pytorch 2.0.0
Datasets 2.1.0
Tokenizers 0.14.1

peldrak/segformer-finetuned-riviera2

segformer-finetuned-riviera2

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

peldrak/
segformer-finetuned-riviera2