lr0.0001_bs16_0613_1759

greenkwd/lr0.0001_bs16_0613_1759

lr0.0001_bs16_0613_1759 is a image segmentation model from greenkwd. Use it for the image segmentation task on the model card, and read the license before you ship it in a product. The card lists the license as other.

should probably proofread and complete it, then remove this comment. --

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At a glance

Task: Image Segmentation
License: other
Model type: segformer
Access: Public
Created: Jun 16, 2025
Updated: Jun 16, 2025
SHA: 656b5a5e

Base models

nvidia/mit-b0

Model card

From the Hugging Face model README

lr0.0001_bs16_0613_1759

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

Loss: 0.0913
Mean Iou: 0.0221
Mean Accuracy: 0.0666
Overall Accuracy: 0.0666
Accuracy Land: nan
Accuracy Upwelling: 0.0666
Accuracy Not Upwelling: nan
Iou Land: 0.0
Iou Upwelling: 0.0664
Iou Not Upwelling: 0.0
Dice Macro: 0.9676
Dice Micro: 0.9768

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: 0.0001
train_batch_size: 32
eval_batch_size: 32
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 100

Training results

Training Loss	Epoch	Step	Validation Loss	Mean Iou	Mean Accuracy	Overall Accuracy	Accuracy Land	Accuracy Upwelling	Accuracy Not Upwelling	Iou Upwelling	Iou Not Upwelling	Dice Macro	Dice Micro
0.9689	0.4	20	1.0592	0.3233	0.6334	0.6786	nan	0.7477	0.5192	0.6334	0.3365	0.7013	0.7582
0.7472	0.8	40	0.8329	0.3925	0.7222	0.7731	nan	0.8512	0.5932	0.7333	0.4444	0.7882	0.8437
0.5343	1.2	60	0.5104	0.4260	0.7395	0.8198	nan	0.9429	0.5360	0.8004	0.4775	0.8215	0.8816
0.448	1.6	80	0.3721	0.4750	0.8083	0.8553	nan	0.9273	0.6892	0.8334	0.5915	0.8643	0.9046
0.3621	2.0	100	0.3223	0.5032	0.8424	0.8777	nan	0.9318	0.7530	0.8583	0.6514	0.8885	0.9206
0.3518	2.4	120	0.2844	0.5031	0.8263	0.8837	nan	0.9716	0.6809	0.8694	0.6398	0.8897	0.9255
0.2871	2.8	140	0.2590	0.5368	0.8898	0.9044	nan	0.9267	0.8529	0.8802	0.7302	0.9122	0.9350
0.2658	3.2	160	0.2335	0.5477	0.8891	0.9135	nan	0.9510	0.8271	0.8987	0.7443	0.9226	0.9443
0.2878	3.6	180	0.1971	0.5659	0.9006	0.9311	nan	0.9779	0.8233	0.9135	0.7841	0.9313	0.9510
0.2863	4.0	200	0.1664	0.5760	0.9138	0.9361	nan	0.9703	0.8573	0.9246	0.8035	0.9407	0.9572
0.222	4.4	220	0.1505	0.5819	0.9160	0.9415	nan	0.9806	0.8513	0.9299	0.8158	0.9445	0.9601
0.2821	4.8	240	0.1501	0.5883	0.9374	0.9435	nan	0.9527	0.9222	0.9323	0.8326	0.9492	0.9622
0.2339	5.2	260	0.1381	0.5941	0.9423	0.9489	nan	0.9591	0.9256	0.9357	0.8466	0.9516	0.9639
0.2423	5.6	280	0.1248	0.6001	0.9450	0.9545	nan	0.9691	0.9208	0.9400	0.8602	0.9527	0.9648
0.1979	6.0	300	0.1077	0.5992	0.9437	0.9529	nan	0.9671	0.9204	0.9413	0.8564	0.9554	0.9668
0.2201	6.4	320	0.1107	0.5961	0.9497	0.9502	nan	0.9511	0.9483	0.9353	0.8530	0.9532	0.9647
0.2078	6.8	340	0.0972	0.5981	0.9338	0.9529	nan	0.9822	0.8854	0.9430	0.8514	0.9555	0.9675
0.2095	7.2	360	0.1077	0.5982	0.9351	0.9542	nan	0.9835	0.8867	0.9396	0.8549	0.9511	0.9642
0.2106	7.6	380	0.1086	0.5890	0.9206	0.9480	nan	0.9900	0.8512	0.9343	0.8328	0.9490	0.9635
0.1989	8.0	400	0.0980	0.5983	0.9323	0.9543	nan	0.9880	0.8765	0.9410	0.8538	0.9532	0.9660
0.1842	8.4	420	0.0894	0.6031	0.9498	0.9552	nan	0.9635	0.9361	0.9449	0.8646	0.9592	0.9696
0.2402	8.8	440	0.1081	0.5799	0.9378	0.9355	nan	0.9319	0.9438	0.9225	0.8173	0.9469	0.9602
0.161	9.2	460	0.0831	0.6069	0.9506	0.9585	nan	0.9705	0.9308	0.9478	0.8729	0.9611	0.9712
0.2218	9.6	480	0.0823	0.5993	0.9327	0.9525	nan	0.9828	0.8825	0.9463	0.8514	0.9586	0.9704
0.1646	10.0	500	0.0791	0.6081	0.9476	0.9601	nan	0.9793	0.9160	0.9486	0.8758	0.9613	0.9718
0.1522	10.4	520	0.0859	0.5940	0.9244	0.9508	nan	0.9913	0.8575	0.9396	0.8425	0.9549	0.9682
0.1578	10.8	540	0.0713	0.6084	0.9471	0.9597	nan	0.9789	0.9154	0.9501	0.8751	0.9631	0.9732
0.1833	11.2	560	0.0793	0.5973	0.9256	0.9505	nan	0.9886	0.8625	0.9483	0.8434	0.9578	0.9702
0.2327	11.6	580	0.0710	0.6111	0.9481	0.9624	nan	0.9842	0.9119	0.9514	0.8819	0.9634	0.9734
0.2597	12.0	600	0.0771	0.6187	0.9655	0.9674	nan	0.9704	0.9605	0.9553	0.9007	0.9634	0.9726
0.1693	12.4	620	0.0686	0.6045	0.9364	0.9574	nan	0.9895	0.8832	0.9490	0.8645	0.9618	0.9728
0.1922	12.8	640	0.0691	0.6040	0.9361	0.9547	nan	0.9831	0.8891	0.9503	0.8618	0.9624	0.9731
0.1788	13.2	660	0.0777	0.5974	0.9538	0.9489	nan	0.9413	0.9663	0.9366	0.8557	0.9586	0.9692
0.1392	13.6	680	0.0623	0.6180	0.9611	0.9657	nan	0.9728	0.9493	0.9562	0.8980	0.9684	0.9767
0.1709	14.0	700	0.0663	0.6200	0.9604	0.9683	nan	0.9805	0.9403	0.9589	0.9012	0.9680	0.9764
0.1593	14.4	720	0.0585	0.6196	0.9576	0.9672	nan	0.9820	0.9331	0.9602	0.8986	0.9700	0.9781
0.1544	14.8	740	0.0680	0.6218	0.9630	0.9698	nan	0.9802	0.9458	0.9588	0.9064	0.9654	0.9744
0.138	15.2	760	0.0597	0.6210	0.9598	0.9683	nan	0.9813	0.9383	0.9605	0.9024	0.9705	0.9784
0.143	15.6	780	0.0620	0.6149	0.9482	0.9638	nan	0.9878	0.9085	0.9572	0.8874	0.9681	0.9771
0.1691	16.0	800	0.0606	0.6136	0.9505	0.9607	nan	0.9763	0.9248	0.9582	0.8827	0.9679	0.9766
0.1621	16.4	820	0.0593	0.6201	0.9644	0.9672	nan	0.9715	0.9574	0.9581	0.9023	0.9699	0.9778
0.1911	16.8	840	0.0551	0.6230	0.9624	0.9696	nan	0.9806	0.9441	0.9628	0.9062	0.9717	0.9792
0.1557	17.2	860	0.0582	0.6212	0.9682	0.9682	nan	0.9683	0.9680	0.9586	0.9049	0.9702	0.9779
0.1316	17.6	880	0.0546	0.6219	0.9621	0.9683	nan	0.9778	0.9463	0.9616	0.9042	0.9719	0.9793
0.1618	18.0	900	0.0596	0.6246	0.9638	0.9715	nan	0.9833	0.9443	0.9621	0.9116	0.9697	0.9776
0.1313	18.4	920	0.0556	0.6167	0.9494	0.9653	nan	0.9897	0.9091	0.9584	0.8917	0.9692	0.9779
0.1642	18.8	940	0.0612	0.6121	0.9439	0.9632	nan	0.9930	0.8948	0.9538	0.8826	0.9656	0.9755
0.1286	19.2	960	0.0553	0.6185	0.9580	0.9639	nan	0.9728	0.9433	0.9604	0.8950	0.9708	0.9785
0.1453	19.6	980	0.0518	0.6228	0.9641	0.9687	nan	0.9756	0.9526	0.9622	0.9061	0.9725	0.9798
0.1489	20.0	1000	0.0525	0.6210	0.9633	0.9672	nan	0.9731	0.9535	0.9610	0.9021	0.9719	0.9794
0.1645	20.4	1020	0.0513	0.6246	0.9615	0.9703	nan	0.9839	0.9391	0.9641	0.9097	0.9734	0.9806
0.1306	20.8	1040	0.0565	0.6191	0.9664	0.9661	nan	0.9656	0.9671	0.9573	0.8998	0.9703	0.9780
0.1133	21.2	1060	0.0501	0.6237	0.9627	0.9694	nan	0.9796	0.9459	0.9639	0.9072	0.9734	0.9805
0.1354	21.6	1080	0.0502	0.6239	0.9662	0.9695	nan	0.9745	0.9579	0.9629	0.9089	0.9733	0.9803
0.1335	22.0	1100	0.0511	0.6205	0.9557	0.9668	nan	0.9838	0.9277	0.9631	0.8983	0.9718	0.9795
0.1321	22.4	1120	0.0540	0.6198	0.9678	0.9666	nan	0.9649	0.9707	0.9576	0.9019	0.9707	0.9783
0.1127	22.8	1140	0.0489	0.6253	0.9637	0.9707	nan	0.9813	0.9461	0.9651	0.9109	0.9742	0.9811
0.1333	23.2	1160	0.0497	0.6240	0.9590	0.9707	nan	0.9885	0.9295	0.9640	0.9080	0.9727	0.9801
0.1234	23.6	1180	0.0475	0.6277	0.9671	0.9727	nan	0.9813	0.9529	0.9657	0.9174	0.9745	0.9813
0.0899	24.0	1200	0.0482	0.6253	0.9645	0.9704	nan	0.9796	0.9494	0.9650	0.9108	0.9743	0.9812
0.1096	24.4	1220	0.0514	0.6227	0.9698	0.9688	nan	0.9673	0.9723	0.9598	0.9083	0.9720	0.9792
0.1197	24.8	1240	0.0494	0.6238	0.9582	0.9701	nan	0.9882	0.9282	0.9639	0.9075	0.9732	0.9806
0.1198	25.2	1260	0.0474	0.6247	0.9601	0.9702	nan	0.9856	0.9347	0.9656	0.9085	0.9742	0.9812
0.146	25.6	1280	0.0466	0.6284	0.9680	0.9733	nan	0.9813	0.9547	0.9662	0.9189	0.9749	0.9816
0.143	26.0	1300	0.0472	0.6260	0.9676	0.9713	nan	0.9770	0.9582	0.9649	0.9132	0.9745	0.9812
0.1161	26.4	1320	0.0540	0.6204	0.9708	0.9672	nan	0.9618	0.9798	0.9562	0.9051	0.9701	0.9777
0.1502	26.8	1340	0.0530	0.6193	0.9681	0.9660	nan	0.9626	0.9736	0.9565	0.9013	0.9708	0.9783
0.1183	27.2	1360	0.0463	0.6264	0.9620	0.9718	nan	0.9867	0.9374	0.9665	0.9126	0.9748	0.9816
0.1237	27.6	1380	0.0473	0.6256	0.9685	0.9704	nan	0.9735	0.9635	0.9636	0.9132	0.9743	0.9810
0.1218	28.0	1400	0.0458	0.6267	0.9623	0.9721	nan	0.9871	0.9375	0.9666	0.9136	0.9749	0.9817
0.1071	28.4	1420	0.0457	0.6278	0.9692	0.9726	nan	0.9778	0.9607	0.9661	0.9172	0.9752	0.9817
0.1062	28.8	1440	0.0458	0.6257	0.9631	0.9705	nan	0.9819	0.9443	0.9667	0.9105	0.9749	0.9816
0.1035	29.2	1460	0.0446	0.6283	0.9681	0.9729	nan	0.9802	0.9560	0.9668	0.9181	0.9757	0.9821
0.1173	29.6	1480	0.0462	0.6249	0.9593	0.9698	nan	0.9860	0.9326	0.9666	0.9082	0.9746	0.9815
0.0959	30.0	1500	0.0448	0.6273	0.9624	0.9725	nan	0.9879	0.9369	0.9666	0.9152	0.9752	0.9820
0.1267	30.4	1520	0.0457	0.6286	0.9708	0.9734	nan	0.9775	0.9641	0.9661	0.9196	0.9752	0.9817
0.1043	30.8	1540	0.0453	0.6283	0.9703	0.9730	nan	0.9771	0.9635	0.9660	0.9190	0.9754	0.9818
0.1168	31.2	1560	0.0439	0.6296	0.9677	0.9740	nan	0.9837	0.9516	0.9678	0.9211	0.9762	0.9826
0.117	31.6	1580	0.0438	0.6298	0.9693	0.9744	nan	0.9821	0.9566	0.9677	0.9217	0.9759	0.9823
0.1328	32.0	1600	0.0439	0.6286	0.9650	0.9735	nan	0.9866	0.9433	0.9678	0.9182	0.9759	0.9824
0.1101	32.4	1620	0.0451	0.6252	0.9588	0.9711	nan	0.9900	0.9277	0.9655	0.9101	0.9743	0.9814
0.1027	32.8	1640	0.0431	0.6287	0.9665	0.9730	nan	0.9830	0.9500	0.9684	0.9179	0.9765	0.9827
0.0904	33.2	1660	0.0463	0.6264	0.9603	0.9726	nan	0.9915	0.9290	0.9649	0.9142	0.9736	0.9809
0.1277	33.6	1680	0.0427	0.6296	0.9687	0.9740	nan	0.9820	0.9555	0.9682	0.9207	0.9765	0.9827
0.0871	34.0	1700	0.0435	0.6271	0.9627	0.9717	nan	0.9855	0.9399	0.9677	0.9136	0.9757	0.9823
0.1069	34.4	1720	0.0434	0.6308	0.9680	0.9753	nan	0.9864	0.9496	0.9682	0.9243	0.9760	0.9824
0.1018	34.8	1740	0.0457	0.6268	0.9714	0.9719	nan	0.9728	0.9699	0.9645	0.9159	0.9748	0.9813
0.0943	35.2	1760	0.0421	0.6305	0.9680	0.9746	nan	0.9848	0.9512	0.9685	0.9229	0.9767	0.9829
0.0944	35.6	1780	0.0447	0.6277	0.9714	0.9725	nan	0.9741	0.9687	0.9651	0.9181	0.9753	0.9817
0.067	36.0	1800	0.0422	0.6289	0.9649	0.9735	nan	0.9866	0.9432	0.9680	0.9187	0.9763	0.9827
0.129	36.4	1820	0.0433	0.6268	0.9614	0.9713	nan	0.9863	0.9365	0.9675	0.9127	0.9757	0.9823
0.106	36.8	1840	0.0423	0.6305	0.9672	0.9750	nan	0.9871	0.9473	0.9684	0.9231	0.9763	0.9826
0.0948	37.2	1860	0.0438	0.6276	0.9618	0.9732	nan	0.9905	0.9332	0.9665	0.9163	0.9751	0.9819
0.1001	37.6	1880	0.0421	0.6292	0.9675	0.9733	nan	0.9822	0.9528	0.9687	0.9188	0.9768	0.9830
0.1163	38.0	1900	0.0416	0.6311	0.9702	0.9752	nan	0.9829	0.9574	0.9691	0.9241	0.9769	0.9830
0.0901	38.4	1920	0.0415	0.6310	0.9709	0.9750	nan	0.9813	0.9604	0.9687	0.9244	0.9770	0.9831
0.1049	38.8	1940	0.0412	0.6301	0.9679	0.9740	nan	0.9834	0.9523	0.9693	0.9210	0.9772	0.9833
0.0971	39.2	1960	0.0423	0.6275	0.9630	0.9722	nan	0.9862	0.9397	0.9680	0.9147	0.9760	0.9826
0.0908	39.6	1980	0.0414	0.6317	0.9691	0.9757	nan	0.9858	0.9525	0.9691	0.9261	0.9770	0.9831
0.124	40.0	2000	0.0447	0.6247	0.9573	0.9711	nan	0.9922	0.9224	0.9650	0.9092	0.9741	0.9813
0.0788	40.4	2020	0.0412	0.6309	0.9676	0.9751	nan	0.9867	0.9484	0.9692	0.9235	0.9770	0.9832
0.0995	40.8	2040	0.0414	0.6313	0.9721	0.9752	nan	0.9799	0.9642	0.9687	0.9252	0.9772	0.9832
0.0875	41.2	2060	0.0424	0.6279	0.9681	0.9721	nan	0.9783	0.9579	0.9677	0.9161	0.9763	0.9826
0.0853	41.6	2080	0.0409	0.6325	0.9723	0.9764	nan	0.9826	0.9619	0.9696	0.9281	0.9771	0.9831
0.0756	42.0	2100	0.0411	0.6323	0.9714	0.9763	nan	0.9837	0.9591	0.9693	0.9275	0.9770	0.9831
0.0883	42.4	2120	0.0412	0.6283	0.9626	0.9730	nan	0.9889	0.9362	0.9685	0.9165	0.9765	0.9829
0.0869	42.8	2140	0.0405	0.6311	0.9702	0.9750	nan	0.9823	0.9582	0.9692	0.9240	0.9774	0.9834
0.0986	43.2	2160	0.0410	0.6302	0.9651	0.9748	nan	0.9895	0.9407	0.9688	0.9218	0.9767	0.9831
0.101	43.6	2180	0.0408	0.6324	0.9696	0.9766	nan	0.9872	0.9520	0.9697	0.9276	0.9770	0.9831
0.0832	44.0	2200	0.0400	0.6318	0.9715	0.9754	nan	0.9815	0.9615	0.9693	0.9262	0.9776	0.9835
0.0859	44.4	2220	0.0409	0.6291	0.9642	0.9735	nan	0.9876	0.9408	0.9689	0.9183	0.9769	0.9832
0.0819	44.8	2240	0.0402	0.6322	0.9724	0.9758	nan	0.9810	0.9638	0.9693	0.9273	0.9776	0.9835
0.111	45.2	2260	0.0401	0.6311	0.9713	0.9748	nan	0.9802	0.9625	0.9692	0.9241	0.9777	0.9836
0.0891	45.6	2280	0.0397	0.6308	0.9682	0.9744	nan	0.9839	0.9526	0.9698	0.9226	0.9778	0.9837
0.106	46.0	2300	0.0402	0.6298	0.9651	0.9742	nan	0.9881	0.9421	0.9689	0.9206	0.9771	0.9833
0.0973	46.4	2320	0.0405	0.6312	0.9719	0.9751	nan	0.9800	0.9638	0.9689	0.9247	0.9774	0.9834
0.0882	46.8	2340	0.0404	0.6320	0.9682	0.9762	nan	0.9883	0.9480	0.9693	0.9268	0.9771	0.9832
0.0894	47.2	2360	0.0437	0.6268	0.9721	0.9717	nan	0.9711	0.9731	0.9645	0.9158	0.9753	0.9818
0.1121	47.6	2380	0.0402	0.6317	0.9727	0.9754	nan	0.9796	0.9658	0.9688	0.9263	0.9775	0.9834
0.0945	48.0	2400	0.0393	0.6328	0.9713	0.9765	nan	0.9845	0.9581	0.9704	0.9280	0.9780	0.9838
0.0883	48.4	2420	0.0429	0.6269	0.9603	0.9727	nan	0.9915	0.9292	0.9659	0.9147	0.9751	0.9820
0.0829	48.8	2440	0.0393	0.6312	0.9674	0.9751	nan	0.9870	0.9479	0.9703	0.9233	0.9779	0.9838
0.0927	49.2	2460	0.0399	0.6327	0.9737	0.9762	nan	0.9802	0.9672	0.9693	0.9288	0.9776	0.9835
0.0987	49.6	2480	0.0410	0.6297	0.9722	0.9738	nan	0.9763	0.9680	0.9676	0.9216	0.9770	0.9831
0.0891	50.0	2500	0.0391	0.6321	0.9719	0.9756	nan	0.9813	0.9624	0.9696	0.9266	0.9780	0.9838
0.0985	50.4	2520	0.0405	0.6306	0.9653	0.9753	nan	0.9907	0.9400	0.9687	0.9231	0.9766	0.9830
0.0958	50.8	2540	0.0388	0.6319	0.9709	0.9755	nan	0.9826	0.9592	0.9702	0.9255	0.9782	0.9839
0.0836	51.2	2560	0.0408	0.6291	0.9632	0.9740	nan	0.9906	0.9358	0.9678	0.9196	0.9765	0.9830
0.0749	51.6	2580	0.0392	0.6318	0.9677	0.9759	nan	0.9883	0.9471	0.9698	0.9255	0.9777	0.9837
0.0718	52.0	2600	0.0399	0.6298	0.9702	0.9735	nan	0.9785	0.9620	0.9687	0.9207	0.9775	0.9835
0.1042	52.4	2620	0.0389	0.6314	0.9674	0.9753	nan	0.9875	0.9474	0.9701	0.9241	0.9780	0.9839
0.0885	52.8	2640	0.0418	0.6285	0.9621	0.9740	nan	0.9922	0.9319	0.9671	0.9183	0.9756	0.9824
0.0829	53.2	2660	0.0400	0.6301	0.9708	0.9736	nan	0.9780	0.9635	0.9684	0.9219	0.9776	0.9835
0.0911	53.6	2680	0.0389	0.6334	0.9714	0.9769	nan	0.9852	0.9577	0.9705	0.9297	0.9782	0.9840
0.0871	54.0	2700	0.0394	0.6304	0.9648	0.9749	nan	0.9904	0.9393	0.9693	0.9219	0.9773	0.9835
0.0903	54.4	2720	0.0388	0.6321	0.9724	0.9757	nan	0.9807	0.9642	0.9698	0.9266	0.9782	0.9839
0.091	54.8	2740	0.0384	0.6330	0.9706	0.9766	nan	0.9859	0.9553	0.9706	0.9285	0.9783	0.9841
0.0738	55.2	2760	0.0396	0.6300	0.9644	0.9745	nan	0.9901	0.9387	0.9694	0.9205	0.9772	0.9834
0.0846	55.6	2780	0.0386	0.6318	0.9672	0.9757	nan	0.9889	0.9455	0.9700	0.9253	0.9779	0.9839
0.0585	56.0	2800	0.0402	0.6299	0.9721	0.9737	nan	0.9762	0.9681	0.9677	0.9219	0.9773	0.9833
0.0855	56.4	2820	0.0379	0.6329	0.9700	0.9763	nan	0.9861	0.9538	0.9705	0.9281	0.9784	0.9842
0.0868	56.8	2840	0.0383	0.6323	0.9683	0.9762	nan	0.9883	0.9482	0.9703	0.9266	0.9781	0.9840
0.0937	57.2	2860	0.0378	0.6327	0.9693	0.9763	nan	0.9870	0.9515	0.9709	0.9272	0.9785	0.9843
0.0924	57.6	2880	0.0382	0.6340	0.9717	0.9775	nan	0.9865	0.9569	0.9711	0.9311	0.9783	0.9841
0.0859	58.0	2900	0.0378	0.6322	0.9710	0.9756	nan	0.9827	0.9593	0.9707	0.9259	0.9786	0.9843
0.0866	58.4	2920	0.0384	0.6320	0.9721	0.9754	nan	0.9805	0.9637	0.9700	0.9259	0.9784	0.9841
0.0821	58.8	2940	0.0410	0.6274	0.9604	0.9728	nan	0.9919	0.9288	0.9671	0.9152	0.9760	0.9827
0.0772	59.2	2960	0.0393	0.6298	0.9640	0.9743	nan	0.9900	0.9380	0.9688	0.9205	0.9772	0.9835
0.0921	59.6	2980	0.0376	0.6331	0.9720	0.9764	nan	0.9830	0.9610	0.9708	0.9285	0.9788	0.9844
0.0626	60.0	3000	0.0383	0.6321	0.9725	0.9754	nan	0.9799	0.9651	0.9698	0.9264	0.9785	0.9841
0.0773	60.4	3020	0.0375	0.6334	0.9720	0.9766	nan	0.9836	0.9604	0.9707	0.9295	0.9788	0.9844
0.0832	60.8	3040	0.0382	0.6325	0.9732	0.9761	nan	0.9804	0.9660	0.9701	0.9275	0.9784	0.9841
0.1004	61.2	3060	0.0375	0.6327	0.9696	0.9762	nan	0.9862	0.9530	0.9708	0.9274	0.9787	0.9844
0.0787	61.6	3080	0.0378	0.6327	0.9730	0.9761	nan	0.9809	0.9651	0.9704	0.9276	0.9786	0.9843
0.0984	62.0	3100	0.0385	0.6317	0.9667	0.9758	nan	0.9897	0.9437	0.9697	0.9254	0.9778	0.9839
0.0711	62.4	3120	0.0376	0.6339	0.9717	0.9774	nan	0.9861	0.9573	0.9712	0.9304	0.9786	0.9843
0.0727	62.8	3140	0.0375	0.6337	0.9723	0.9770	nan	0.9842	0.9605	0.9709	0.9302	0.9788	0.9844
0.0781	63.2	3160	0.0371	0.6332	0.9702	0.9767	nan	0.9865	0.9539	0.9712	0.9286	0.9789	0.9845
0.0845	63.6	3180	0.0373	0.6331	0.9697	0.9766	nan	0.9872	0.9522	0.9710	0.9284	0.9788	0.9845
0.0779	64.0	3200	0.0371	0.6333	0.9704	0.9766	nan	0.9861	0.9548	0.9712	0.9287	0.9790	0.9846
0.0889	64.4	3220	0.0373	0.6331	0.9725	0.9763	nan	0.9822	0.9628	0.9709	0.9284	0.9789	0.9845
0.0724	64.8	3240	0.0373	0.6320	0.9689	0.9754	nan	0.9854	0.9523	0.9711	0.9250	0.9787	0.9844
0.0714	65.2	3260	0.0392	0.6295	0.9634	0.9742	nan	0.9908	0.9360	0.9691	0.9194	0.9772	0.9835
0.0721	65.6	3280	0.0372	0.6336	0.9732	0.9768	nan	0.9823	0.9641	0.9707	0.9300	0.9789	0.9845
0.0601	66.0	3300	0.0371	0.6328	0.9718	0.9761	nan	0.9826	0.9611	0.9711	0.9272	0.9789	0.9845
0.0988	66.4	3320	0.0370	0.6330	0.9695	0.9764	nan	0.9870	0.9519	0.9711	0.9281	0.9789	0.9846
0.0722	66.8	3340	0.0371	0.6325	0.9684	0.9760	nan	0.9876	0.9492	0.9712	0.9263	0.9788	0.9845
0.0796	67.2	3360	0.0375	0.6333	0.9737	0.9765	nan	0.9808	0.9666	0.9704	0.9295	0.9788	0.9844
0.0813	67.6	3380	0.0378	0.6320	0.9724	0.9755	nan	0.9803	0.9644	0.9703	0.9256	0.9785	0.9842
0.0718	68.0	3400	0.0370	0.6329	0.9722	0.9762	nan	0.9822	0.9621	0.9709	0.9280	0.9790	0.9846
0.0859	68.4	3420	0.0369	0.6335	0.9701	0.9769	nan	0.9873	0.9528	0.9711	0.9293	0.9789	0.9846
0.0773	68.8	3440	0.0369	0.6326	0.9710	0.9758	nan	0.9832	0.9588	0.9711	0.9268	0.9790	0.9846
0.0921	69.2	3460	0.0367	0.6334	0.9708	0.9767	nan	0.9856	0.9560	0.9714	0.9288	0.9792	0.9847
0.0784	69.6	3480	0.0379	0.6326	0.9679	0.9767	nan	0.9903	0.9454	0.9704	0.9273	0.9780	0.9840
0.0754	70.0	3500	0.0367	0.6335	0.9702	0.9769	nan	0.9871	0.9534	0.9713	0.9293	0.9790	0.9847
0.0725	70.4	3520	0.0369	0.6332	0.9725	0.9764	nan	0.9823	0.9627	0.9710	0.9286	0.9791	0.9846
0.0663	70.8	3540	0.0367	0.6326	0.9690	0.9761	nan	0.9870	0.9509	0.9714	0.9265	0.9790	0.9846
0.0943	71.2	3560	0.0367	0.6332	0.9725	0.9764	nan	0.9823	0.9627	0.9710	0.9287	0.9792	0.9847
0.0742	71.6	3580	0.0366	0.6340	0.9729	0.9772	nan	0.9839	0.9619	0.9715	0.9305	0.9792	0.9847
0.0705	72.0	3600	0.0373	0.6322	0.9673	0.9762	nan	0.9897	0.9448	0.9706	0.9261	0.9784	0.9843
0.0751	72.4	3620	0.0364	0.6340	0.9719	0.9773	nan	0.9855	0.9582	0.9717	0.9303	0.9792	0.9848
0.0813	72.8	3640	0.0365	0.6346	0.9729	0.9777	nan	0.9850	0.9608	0.9716	0.9321	0.9792	0.9847
0.0673	73.2	3660	0.0364	0.6340	0.9726	0.9771	nan	0.9840	0.9612	0.9715	0.9305	0.9793	0.9848
0.0727	73.6	3680	0.0366	0.6341	0.9712	0.9774	nan	0.9870	0.9554	0.9715	0.9309	0.9791	0.9847
0.0701	74.0	3700	0.0363	0.6339	0.9714	0.9771	nan	0.9858	0.9569	0.9716	0.9300	0.9793	0.9848
0.0754	74.4	3720	0.0367	0.6332	0.9691	0.9767	nan	0.9884	0.9498	0.9712	0.9284	0.9789	0.9846
0.0858	74.8	3740	0.0367	0.6334	0.9730	0.9765	nan	0.9819	0.9641	0.9709	0.9292	0.9792	0.9847
0.0752	75.2	3760	0.0366	0.6341	0.9706	0.9775	nan	0.9881	0.9531	0.9715	0.9308	0.9789	0.9846
0.0826	75.6	3780	0.0365	0.6336	0.9699	0.9771	nan	0.9880	0.9518	0.9714	0.9294	0.9790	0.9847
0.0649	76.0	3800	0.0364	0.6336	0.9701	0.9769	nan	0.9874	0.9528	0.9715	0.9293	0.9792	0.9848
0.0867	76.4	3820	0.0361	0.6339	0.9714	0.9770	nan	0.9856	0.9571	0.9715	0.9303	0.9794	0.9849
0.0714	76.8	3840	0.0367	0.6342	0.9708	0.9777	nan	0.9884	0.9532	0.9715	0.9312	0.9789	0.9846
0.089	77.2	3860	0.0364	0.6339	0.9708	0.9772	nan	0.9871	0.9545	0.9714	0.9303	0.9792	0.9848
0.0737	77.6	3880	0.0369	0.6332	0.9737	0.9764	nan	0.9804	0.9671	0.9706	0.9290	0.9790	0.9846
0.083	78.0	3900	0.0362	0.6345	0.9720	0.9777	nan	0.9865	0.9576	0.9718	0.9317	0.9793	0.9848
0.0772	78.4	3920	0.0363	0.6342	0.9736	0.9773	nan	0.9828	0.9644	0.9714	0.9311	0.9793	0.9848
0.0823	78.8	3940	0.0361	0.6343	0.9728	0.9775	nan	0.9847	0.9609	0.9718	0.9312	0.9794	0.9849
0.0733	79.2	3960	0.0361	0.6333	0.9712	0.9765	nan	0.9844	0.9580	0.9716	0.9284	0.9794	0.9849
0.0911	79.6	3980	0.0360	0.6335	0.9716	0.9765	nan	0.9842	0.9590	0.9715	0.9290	0.9794	0.9849
0.0889	80.0	4000	0.0374	0.6310	0.9653	0.9751	nan	0.9903	0.9403	0.9701	0.9230	0.9782	0.9842
0.0911	80.4	4020	0.0360	0.6336	0.9707	0.9767	nan	0.9859	0.9555	0.9716	0.9292	0.9795	0.9850
0.0926	80.8	4040	0.0359	0.6341	0.9715	0.9773	nan	0.9860	0.9571	0.9719	0.9304	0.9795	0.9850
0.0814	81.2	4060	0.0363	0.6348	0.9722	0.9780	nan	0.9867	0.9577	0.9717	0.9326	0.9792	0.9848
0.0717	81.6	4080	0.0361	0.6337	0.9727	0.9768	nan	0.9831	0.9624	0.9715	0.9295	0.9794	0.9849
0.0601	82.0	4100	0.0367	0.6322	0.9671	0.9759	nan	0.9892	0.9451	0.9709	0.9256	0.9788	0.9846
0.0742	82.4	4120	0.0359	0.6339	0.9718	0.9770	nan	0.9849	0.9588	0.9717	0.9300	0.9795	0.9850
0.0616	82.8	4140	0.0359	0.6347	0.9731	0.9778	nan	0.9850	0.9611	0.9719	0.9322	0.9795	0.9849
0.0768	83.2	4160	0.0358	0.6347	0.9725	0.9778	nan	0.9859	0.9591	0.9720	0.9320	0.9795	0.9850
0.0904	83.6	4180	0.0368	0.6329	0.9739	0.9761	nan	0.9796	0.9681	0.9704	0.9284	0.9790	0.9846
0.0697	84.0	4200	0.0360	0.6339	0.9703	0.9772	nan	0.9877	0.9530	0.9716	0.9302	0.9793	0.9849
0.0694	84.4	4220	0.0363	0.6338	0.9700	0.9773	nan	0.9885	0.9514	0.9715	0.9300	0.9791	0.9847
0.0672	84.8	4240	0.0359	0.6333	0.9707	0.9764	nan	0.9851	0.9564	0.9719	0.9280	0.9795	0.9850
0.0801	85.2	4260	0.0364	0.6336	0.9739	0.9767	nan	0.9810	0.9668	0.9709	0.9298	0.9793	0.9847
0.073	85.6	4280	0.0357	0.6339	0.9713	0.9770	nan	0.9856	0.9570	0.9719	0.9298	0.9796	0.9851
0.0873	86.0	4300	0.0357	0.6342	0.9726	0.9772	nan	0.9843	0.9609	0.9718	0.9308	0.9796	0.9851
0.0882	86.4	4320	0.0357	0.6344	0.9720	0.9775	nan	0.9860	0.9580	0.9719	0.9314	0.9795	0.9850
0.0707	86.8	4340	0.0358	0.6342	0.9728	0.9772	nan	0.9841	0.9615	0.9718	0.9309	0.9796	0.9850
0.0757	87.2	4360	0.0357	0.6339	0.9707	0.9770	nan	0.9867	0.9547	0.9719	0.9297	0.9795	0.9850
0.0894	87.6	4380	0.0357	0.6342	0.9714	0.9773	nan	0.9864	0.9563	0.9718	0.9307	0.9796	0.9850
0.0808	88.0	4400	0.0358	0.6338	0.9704	0.9770	nan	0.9872	0.9536	0.9717	0.9297	0.9794	0.9850
0.0781	88.4	4420	0.0361	0.6333	0.9691	0.9768	nan	0.9886	0.9495	0.9715	0.9284	0.9792	0.9848
0.071	88.8	4440	0.0373	0.6317	0.9662	0.9757	nan	0.9903	0.9421	0.9700	0.9250	0.9783	0.9843
0.0804	89.2	4460	0.0357	0.6346	0.9718	0.9777	nan	0.9868	0.9568	0.9720	0.9317	0.9795	0.9850
0.0804	89.6	4480	0.0358	0.6334	0.9700	0.9767	nan	0.9870	0.9529	0.9718	0.9286	0.9795	0.9850
0.0616	90.0	4500	0.0356	0.6346	0.9724	0.9777	nan	0.9859	0.9590	0.9721	0.9319	0.9796	0.9850
0.0599	90.4	4520	0.0357	0.6339	0.9716	0.9769	nan	0.9852	0.9579	0.9719	0.9296	0.9796	0.9851
0.0865	90.8	4540	0.0356	0.6342	0.9711	0.9774	nan	0.9869	0.9553	0.9719	0.9307	0.9795	0.9850
0.0899	91.2	4560	0.0356	0.6342	0.9717	0.9773	nan	0.9859	0.9575	0.9720	0.9308	0.9797	0.9851
0.0698	91.6	4580	0.0356	0.6344	0.9721	0.9774	nan	0.9856	0.9587	0.9719	0.9313	0.9797	0.9851
0.0617	92.0	4600	0.0358	0.6338	0.9725	0.9768	nan	0.9833	0.9618	0.9717	0.9297	0.9796	0.9850
0.0669	92.4	4620	0.0355	0.6341	0.9714	0.9772	nan	0.9861	0.9568	0.9720	0.9303	0.9796	0.9851
0.0772	92.8	4640	0.0356	0.6343	0.9714	0.9774	nan	0.9867	0.9562	0.9720	0.9310	0.9796	0.9851
0.0744	93.2	4660	0.0355	0.6342	0.9719	0.9772	nan	0.9855	0.9583	0.9720	0.9305	0.9797	0.9851
0.0826	93.6	4680	0.0355	0.6344	0.9715	0.9775	nan	0.9868	0.9561	0.9721	0.9310	0.9796	0.9851
0.0672	94.0	4700	0.0355	0.6341	0.9714	0.9772	nan	0.9860	0.9567	0.9719	0.9305	0.9797	0.9851
0.0727	94.4	4720	0.0357	0.6341	0.9706	0.9773	nan	0.9876	0.9536	0.9718	0.9306	0.9795	0.9850
0.0706	94.8	4740	0.0355	0.6341	0.9715	0.9771	nan	0.9856	0.9575	0.9719	0.9302	0.9797	0.9851
0.0636	95.2	4760	0.0355	0.6341	0.9714	0.9772	nan	0.9860	0.9569	0.9721	0.9303	0.9797	0.9851
0.0754	95.6	4780	0.0356	0.6342	0.9708	0.9774	nan	0.9875	0.9541	0.9720	0.9306	0.9796	0.9851
0.0857	96.0	4800	0.0356	0.6340	0.9706	0.9772	nan	0.9873	0.9538	0.9719	0.9302	0.9796	0.9851
0.0695	96.4	4820	0.0355	0.6344	0.9727	0.9774	nan	0.9846	0.9608	0.9720	0.9312	0.9797	0.9851
0.085	96.8	4840	0.0356	0.6341	0.9707	0.9773	nan	0.9875	0.9538	0.9720	0.9304	0.9796	0.9851
0.0673	97.2	4860	0.0354	0.6343	0.9717	0.9773	nan	0.9858	0.9577	0.9720	0.9308	0.9797	0.9852
0.0613	97.6	4880	0.0354	0.6343	0.9721	0.9773	nan	0.9852	0.9589	0.9720	0.9308	0.9797	0.9852
0.07	98.0	4900	0.0354	0.6344	0.9715	0.9774	nan	0.9865	0.9564	0.9719	0.9312	0.9796	0.9851
0.0813	98.4	4920	0.0354	0.6342	0.9718	0.9773	nan	0.9857	0.9580	0.9720	0.9307	0.9797	0.9851
0.0687	98.8	4940	0.0356	0.6339	0.9706	0.9771	nan	0.9870	0.9542	0.9720	0.9298	0.9796	0.9851
0.0631	99.2	4960	0.0354	0.6342	0.9718	0.9773	nan	0.9856	0.9580	0.9721	0.9306	0.9797	0.9851
0.0761	99.6	4980	0.0355	0.6343	0.9719	0.9773	nan	0.9858	0.9580	0.9720	0.9309	0.9797	0.9851
0.0642	100.0	5000	0.0354	0.6342	0.9715	0.9773	nan	0.9861	0.9570	0.9720	0.9307	0.9797	0.9851

Framework versions

Transformers 4.41.2
Pytorch 2.6.0+cu124
Datasets 3.2.0
Tokenizers 0.19.1

Task: Image Segmentation
Type: segformer
License: other
Created: Jun 16, 2025
Updated: Jun 16, 2025