segformer-b2-finetuned-ade-512-512_necrosis

This model is a fine-tuned version of nvidia/segformer-b2-finetuned-ade-512-512 on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.0547
• Mean Iou: 0.8851
• Mean Accuracy: 0.9274
• Overall Accuracy: 0.9826
• Accuracy Background: 0.9941
• Accuracy Necrosis: 0.8203
• Accuracy Root: 0.9678
• Iou Background: 0.9889
• Iou Necrosis: 0.7417
• Iou Root: 0.9247

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: 16
• eval_batch_size: 16
• seed: 42
• optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• lr_scheduler_warmup_ratio: 0.05
• num_epochs: 40

Training results

Training Loss	Epoch	Step	Validation Loss	Mean Iou	Mean Accuracy	Overall Accuracy	Accuracy Background	Accuracy Necrosis	Accuracy Root	Iou Background	Iou Necrosis	Iou Root
1.0136	0.3125	20	0.9745	0.2835	0.5534	0.5117	0.5703	0.8384	0.2516	0.5531	0.0588	0.2387
0.782	0.625	40	0.6546	0.6443	0.7573	0.9244	0.9470	0.3958	0.9292	0.9426	0.1808	0.8096
0.5646	0.9375	60	0.5035	0.6000	0.6673	0.9352	0.9622	0.0591	0.9807	0.9595	0.0417	0.7987
0.4075	1.25	80	0.3676	0.6185	0.6781	0.9491	0.9802	0.0744	0.9797	0.9743	0.0697	0.8114
0.3336	1.5625	100	0.2976	0.6525	0.7111	0.9526	0.9793	0.1703	0.9838	0.9751	0.1626	0.8198
0.3046	1.875	120	0.2017	0.8358	0.9058	0.9716	0.9905	0.7937	0.9334	0.9798	0.6453	0.8823
0.1448	2.1875	140	0.1557	0.8383	0.9006	0.9725	0.9850	0.7537	0.9631	0.9798	0.6465	0.8885
0.1214	2.5	160	0.1194	0.8600	0.9089	0.9773	0.9944	0.7847	0.9475	0.9840	0.6915	0.9044
0.1044	2.8125	180	0.1037	0.8590	0.9012	0.9779	0.9938	0.7523	0.9575	0.9848	0.6852	0.9069
0.0875	3.125	200	0.1002	0.8520	0.8956	0.9769	0.9906	0.7280	0.9681	0.9844	0.6686	0.9031
0.0873	3.4375	220	0.0873	0.8574	0.8968	0.9781	0.9919	0.7293	0.9693	0.9853	0.6787	0.9083
0.0823	3.75	240	0.0876	0.8712	0.9292	0.9789	0.9944	0.8486	0.9447	0.9857	0.7185	0.9094
0.0828	4.0625	260	0.0866	0.8657	0.9290	0.9765	0.9934	0.8578	0.9357	0.9827	0.7143	0.9002
0.0601	4.375	280	0.0774	0.8619	0.9002	0.9787	0.9937	0.7430	0.9638	0.9857	0.6901	0.9100
0.0734	4.6875	300	0.0746	0.8588	0.8964	0.9787	0.9924	0.7261	0.9708	0.9860	0.6798	0.9106
0.1485	5.0	320	0.0693	0.8774	0.9267	0.9804	0.9938	0.8291	0.9571	0.9866	0.7293	0.9164
0.0592	5.3125	340	0.0681	0.8739	0.9184	0.9800	0.9927	0.7982	0.9644	0.9862	0.7202	0.9153
0.0599	5.625	360	0.0665	0.8753	0.9207	0.9804	0.9925	0.8039	0.9657	0.9866	0.7224	0.9169
0.0653	5.9375	380	0.0651	0.8774	0.9304	0.9802	0.9946	0.8461	0.9506	0.9863	0.7301	0.9159
0.0729	6.25	400	0.0635	0.8795	0.9241	0.9812	0.9929	0.8125	0.9670	0.9876	0.7311	0.9197
0.0713	6.5625	420	0.0653	0.8785	0.9273	0.9802	0.9954	0.8376	0.9490	0.9862	0.7346	0.9147
0.0584	6.875	440	0.0619	0.8772	0.9173	0.9807	0.9943	0.7956	0.9619	0.9866	0.7273	0.9177
0.0515	7.1875	460	0.0629	0.8644	0.9005	0.9799	0.9933	0.7369	0.9714	0.9871	0.6912	0.9148
0.0423	7.5	480	0.0594	0.8809	0.9237	0.9815	0.9938	0.8119	0.9653	0.9877	0.7337	0.9212
0.0568	7.8125	500	0.0588	0.8822	0.9369	0.9813	0.9925	0.8564	0.9617	0.9877	0.7387	0.9201
0.0786	8.125	520	0.0587	0.8781	0.9178	0.9814	0.9946	0.7945	0.9644	0.9877	0.7260	0.9205
0.0475	8.4375	540	0.0643	0.8693	0.9098	0.9796	0.9923	0.7688	0.9683	0.9860	0.7081	0.9137
0.0556	8.75	560	0.0571	0.8738	0.9099	0.9812	0.9948	0.7673	0.9677	0.9880	0.7134	0.9199
0.0511	9.0625	580	0.0574	0.8786	0.9199	0.9814	0.9923	0.7945	0.9729	0.9878	0.7273	0.9207
0.0392	9.375	600	0.0571	0.8713	0.9074	0.9807	0.9936	0.7576	0.9711	0.9876	0.7088	0.9176
0.0438	9.6875	620	0.0565	0.8823	0.9326	0.9817	0.9949	0.8461	0.9568	0.9882	0.7374	0.9213
0.157	10.0	640	0.0564	0.8829	0.9292	0.9815	0.9944	0.8337	0.9594	0.9877	0.7411	0.9200
0.0404	10.3125	660	0.0571	0.8814	0.9276	0.9811	0.9957	0.8346	0.9526	0.9870	0.7384	0.9188
0.0447	10.625	680	0.0536	0.8814	0.9250	0.9822	0.9933	0.8113	0.9703	0.9888	0.7316	0.9237
0.0353	10.9375	700	0.0571	0.8774	0.9162	0.9812	0.9934	0.7857	0.9695	0.9875	0.7250	0.9198
0.0488	11.25	720	0.0574	0.8821	0.9344	0.9811	0.9950	0.8563	0.9520	0.9875	0.7401	0.9186
0.0444	11.5625	740	0.0595	0.8784	0.9224	0.9792	0.9957	0.8262	0.9454	0.9843	0.7406	0.9104
0.0452	11.875	760	0.0553	0.8806	0.9365	0.9811	0.9957	0.8664	0.9474	0.9878	0.7361	0.9180
0.0375	12.1875	780	0.0533	0.8812	0.9237	0.9818	0.9918	0.8046	0.9748	0.9881	0.7330	0.9224
0.0364	12.5	800	0.0530	0.8842	0.9276	0.9822	0.9936	0.8217	0.9676	0.9884	0.7405	0.9236
0.031	12.8125	820	0.0542	0.8818	0.9268	0.9815	0.9954	0.8280	0.9571	0.9877	0.7371	0.9206
0.0322	13.125	840	0.0533	0.8841	0.9352	0.9820	0.9939	0.8506	0.9611	0.9886	0.7411	0.9226
0.0343	13.4375	860	0.0543	0.8817	0.9219	0.9820	0.9942	0.8044	0.9672	0.9883	0.7341	0.9225
0.0368	13.75	880	0.0520	0.8848	0.9308	0.9824	0.9942	0.8334	0.9647	0.9889	0.7410	0.9245
0.0297	14.0625	900	0.0535	0.8825	0.9256	0.9821	0.9923	0.8111	0.9735	0.9885	0.7355	0.9234
0.0606	14.375	920	0.0538	0.8800	0.9188	0.9819	0.9939	0.7926	0.9699	0.9885	0.7289	0.9225
0.0429	14.6875	940	0.0535	0.8802	0.9188	0.9823	0.9938	0.7902	0.9724	0.9889	0.7276	0.9241
0.0692	15.0	960	0.0565	0.8813	0.9278	0.9812	0.9898	0.8163	0.9772	0.9873	0.7367	0.9200
0.0359	15.3125	980	0.0535	0.8832	0.9261	0.9820	0.9954	0.8228	0.9600	0.9882	0.7390	0.9224
0.0282	15.625	1000	0.0529	0.8838	0.9240	0.9821	0.9958	0.8160	0.9603	0.9882	0.7399	0.9231
0.038	15.9375	1020	0.0535	0.8808	0.9217	0.9812	0.9946	0.8094	0.9612	0.9872	0.7364	0.9189
0.0355	16.25	1040	0.0536	0.8822	0.9222	0.9824	0.9946	0.8042	0.9677	0.9888	0.7333	0.9244
0.046	16.5625	1060	0.0540	0.8831	0.9248	0.9820	0.9919	0.8074	0.9752	0.9883	0.7378	0.9231
0.0346	16.875	1080	0.0514	0.8851	0.9283	0.9824	0.9937	0.8231	0.9680	0.9886	0.7420	0.9247
0.0355	17.1875	1100	0.0523	0.8844	0.9272	0.9823	0.9947	0.8226	0.9641	0.9886	0.7404	0.9241
0.0317	17.5	1120	0.0517	0.8834	0.9229	0.9826	0.9946	0.8055	0.9686	0.9890	0.7358	0.9253
0.0489	17.8125	1140	0.0526	0.8823	0.9213	0.9824	0.9939	0.7990	0.9711	0.9889	0.7333	0.9246
0.0318	18.125	1160	0.0520	0.8864	0.9314	0.9824	0.9951	0.8384	0.9607	0.9886	0.7464	0.9242
0.0264	18.4375	1180	0.0518	0.8853	0.9300	0.9823	0.9946	0.8329	0.9626	0.9885	0.7439	0.9235
0.036	18.75	1200	0.0524	0.8821	0.9200	0.9826	0.9947	0.7958	0.9696	0.9890	0.7320	0.9253
0.0288	19.0625	1220	0.0540	0.8794	0.9167	0.9821	0.9933	0.7818	0.9748	0.9888	0.7258	0.9235
0.0304	19.375	1240	0.0530	0.8833	0.9230	0.9821	0.9955	0.8111	0.9623	0.9883	0.7384	0.9230
0.0363	19.6875	1260	0.0530	0.8838	0.9237	0.9823	0.9951	0.8115	0.9644	0.9885	0.7390	0.9238
0.0371	20.0	1280	0.0518	0.8861	0.9279	0.9828	0.9940	0.8206	0.9692	0.9891	0.7434	0.9259
0.0253	20.3125	1300	0.0541	0.8829	0.9226	0.9824	0.9935	0.8023	0.9720	0.9888	0.7356	0.9245
0.0296	20.625	1320	0.0533	0.8861	0.9321	0.9824	0.9932	0.8351	0.9681	0.9887	0.7454	0.9243
0.0306	20.9375	1340	0.0521	0.8842	0.9254	0.9826	0.9936	0.8112	0.9713	0.9891	0.7381	0.9253
0.0341	21.25	1360	0.0530	0.8828	0.9217	0.9825	0.9939	0.8001	0.9712	0.9889	0.7347	0.9247
0.0215	21.5625	1380	0.0537	0.8840	0.9355	0.9817	0.9954	0.8581	0.9529	0.9881	0.7432	0.9206
0.033	21.875	1400	0.0517	0.8868	0.9319	0.9827	0.9944	0.8369	0.9645	0.9890	0.7462	0.9252
0.0284	22.1875	1420	0.0530	0.8840	0.9242	0.9825	0.9938	0.8083	0.9706	0.9889	0.7381	0.9249
0.0238	22.5	1440	0.0518	0.8864	0.9335	0.9826	0.9949	0.8443	0.9613	0.9890	0.7456	0.9247
0.0222	22.8125	1460	0.0541	0.8814	0.9211	0.9823	0.9924	0.7942	0.9766	0.9889	0.7314	0.9240
0.0263	23.125	1480	0.0528	0.8851	0.9273	0.9826	0.9941	0.8200	0.9677	0.9889	0.7414	0.9249
0.0246	23.4375	1500	0.0532	0.8858	0.9317	0.9825	0.9935	0.8343	0.9673	0.9889	0.7437	0.9247
0.0382	23.75	1520	0.0548	0.8835	0.9276	0.9819	0.9913	0.8164	0.9750	0.9881	0.7399	0.9223
0.02	24.0625	1540	0.0537	0.8845	0.9271	0.9824	0.9926	0.8158	0.9729	0.9887	0.7406	0.9242
0.0293	24.375	1560	0.0539	0.8854	0.9300	0.9824	0.9927	0.8261	0.9711	0.9887	0.7433	0.9242
0.0277	24.6875	1580	0.0533	0.8854	0.9303	0.9824	0.9929	0.8282	0.9698	0.9887	0.7434	0.9241
0.0225	25.0	1600	0.0534	0.8854	0.9368	0.9823	0.9937	0.8543	0.9625	0.9889	0.7438	0.9235
0.0349	25.3125	1620	0.0535	0.8851	0.9260	0.9827	0.9942	0.8153	0.9686	0.9890	0.7411	0.9252
0.0258	25.625	1640	0.0527	0.8853	0.9279	0.9826	0.9938	0.8212	0.9686	0.9889	0.7423	0.9248
0.033	25.9375	1660	0.0522	0.8860	0.9312	0.9826	0.9951	0.8368	0.9618	0.9889	0.7445	0.9247
0.0202	26.25	1680	0.0518	0.8866	0.9307	0.9828	0.9946	0.8325	0.9649	0.9891	0.7453	0.9255
0.0246	26.5625	1700	0.0530	0.8863	0.9369	0.9825	0.9936	0.8535	0.9637	0.9890	0.7457	0.9242
0.0211	26.875	1720	0.0531	0.8859	0.9289	0.9827	0.9938	0.8240	0.9690	0.9892	0.7429	0.9255
0.0417	27.1875	1740	0.0525	0.8862	0.9296	0.9828	0.9935	0.8254	0.9700	0.9891	0.7437	0.9257
0.0392	27.5	1760	0.0522	0.8868	0.9333	0.9828	0.9939	0.8397	0.9662	0.9892	0.7457	0.9256
0.0248	27.8125	1780	0.0531	0.8867	0.9329	0.9827	0.9943	0.8399	0.9645	0.9891	0.7461	0.9251
0.0255	28.125	1800	0.0540	0.8862	0.9329	0.9825	0.9934	0.8381	0.9673	0.9889	0.7449	0.9247
0.0233	28.4375	1820	0.0537	0.8858	0.9296	0.9826	0.9931	0.8251	0.9704	0.9889	0.7435	0.9248
0.0307	28.75	1840	0.0531	0.8865	0.9299	0.9827	0.9944	0.8291	0.9662	0.9891	0.7450	0.9254
0.0308	29.0625	1860	0.0536	0.8867	0.9329	0.9827	0.9939	0.8389	0.9660	0.9890	0.7459	0.9251
0.0259	29.375	1880	0.0540	0.8850	0.9262	0.9825	0.9945	0.8178	0.9664	0.9888	0.7416	0.9245
0.0295	29.6875	1900	0.0545	0.8838	0.9244	0.9824	0.9937	0.8093	0.9703	0.9888	0.7382	0.9243
0.0197	30.0	1920	0.0539	0.8853	0.9285	0.9825	0.9938	0.8235	0.9683	0.9889	0.7425	0.9247
0.0369	30.3125	1940	0.0539	0.8846	0.9269	0.9824	0.9942	0.8195	0.9668	0.9888	0.7407	0.9242
0.0262	30.625	1960	0.0543	0.8849	0.9287	0.9824	0.9936	0.8241	0.9683	0.9889	0.7415	0.9242
0.0295	30.9375	1980	0.0547	0.8845	0.9269	0.9825	0.9932	0.8162	0.9714	0.9889	0.7400	0.9246
0.0247	31.25	2000	0.0550	0.8855	0.9296	0.9824	0.9943	0.8296	0.9649	0.9887	0.7440	0.9239
0.0283	31.5625	2020	0.0552	0.8828	0.9222	0.9823	0.9939	0.8023	0.9705	0.9888	0.7358	0.9240
0.0333	31.875	2040	0.0543	0.8857	0.9303	0.9825	0.9940	0.8308	0.9660	0.9888	0.7439	0.9244
0.0256	32.1875	2060	0.0540	0.8860	0.9365	0.9824	0.9941	0.8535	0.9617	0.9890	0.7450	0.9239
0.0237	32.5	2080	0.0539	0.8846	0.9241	0.9827	0.9943	0.8083	0.9697	0.9891	0.7390	0.9256
0.0236	32.8125	2100	0.0537	0.8855	0.9276	0.9827	0.9937	0.8187	0.9703	0.9891	0.7417	0.9256
0.0238	33.125	2120	0.0539	0.8849	0.9265	0.9825	0.9947	0.8191	0.9659	0.9889	0.7409	0.9248
0.0265	33.4375	2140	0.0543	0.8858	0.9316	0.9825	0.9938	0.8344	0.9664	0.9889	0.7438	0.9246
0.0274	33.75	2160	0.0555	0.8826	0.9225	0.9824	0.9939	0.8029	0.9706	0.9890	0.7344	0.9245
0.0232	34.0625	2180	0.0543	0.8857	0.9316	0.9826	0.9935	0.8336	0.9677	0.9890	0.7434	0.9248
0.0276	34.375	2200	0.0547	0.8838	0.9240	0.9826	0.9941	0.8082	0.9697	0.9891	0.7373	0.9251
0.033	34.6875	2220	0.0538	0.8851	0.9267	0.9826	0.9948	0.8198	0.9657	0.9890	0.7413	0.9251
0.0333	35.0	2240	0.0540	0.8857	0.9291	0.9827	0.9937	0.8247	0.9690	0.9891	0.7426	0.9254
0.0221	35.3125	2260	0.0545	0.8856	0.9291	0.9826	0.9941	0.8260	0.9674	0.9891	0.7426	0.9251
0.0286	35.625	2280	0.0549	0.8852	0.9292	0.9824	0.9940	0.8275	0.9661	0.9887	0.7428	0.9240
0.0231	35.9375	2300	0.0545	0.8855	0.9288	0.9826	0.9941	0.8251	0.9673	0.9890	0.7425	0.9250
0.0301	36.25	2320	0.0544	0.8853	0.9284	0.9825	0.9946	0.8258	0.9650	0.9888	0.7425	0.9245
0.0311	36.5625	2340	0.0545	0.8853	0.9289	0.9826	0.9937	0.8245	0.9685	0.9889	0.7422	0.9248
0.0231	36.875	2360	0.0548	0.8854	0.9284	0.9825	0.9945	0.8257	0.9650	0.9888	0.7430	0.9243
0.0187	37.1875	2380	0.0548	0.8859	0.9313	0.9826	0.9941	0.8342	0.9656	0.9890	0.7441	0.9247
0.0355	37.5	2400	0.0550	0.8846	0.9261	0.9825	0.9945	0.8173	0.9665	0.9889	0.7405	0.9244
0.021	37.8125	2420	0.0547	0.8857	0.9300	0.9825	0.9940	0.8295	0.9664	0.9889	0.7436	0.9246
0.0274	38.125	2440	0.0545	0.8854	0.9285	0.9826	0.9940	0.8240	0.9676	0.9890	0.7423	0.9249
0.0288	38.4375	2460	0.0545	0.8849	0.9270	0.9826	0.9941	0.8188	0.9682	0.9890	0.7408	0.9250
0.0315	38.75	2480	0.0548	0.8847	0.9260	0.9826	0.9942	0.8158	0.9681	0.9890	0.7404	0.9248
0.0221	39.0625	2500	0.0550	0.8858	0.9295	0.9826	0.9941	0.8276	0.9668	0.9890	0.7435	0.9248
0.021	39.375	2520	0.0552	0.8855	0.9290	0.9826	0.9940	0.8255	0.9674	0.9889	0.7429	0.9248
0.0261	39.6875	2540	0.0544	0.8852	0.9274	0.9826	0.9942	0.8208	0.9673	0.9889	0.7419	0.9248
0.0152	40.0	2560	0.0547	0.8851	0.9274	0.9826	0.9941	0.8203	0.9678	0.9889	0.7417	0.9247

Framework versions

• Transformers 4.49.0
• Pytorch 2.6.0+cu124
• Datasets 3.3.2
• Tokenizers 0.21.0