segformer-b0-finetuned-batch2-30nov

This model is a fine-tuned version of nvidia/mit-b0 on the PushkarA07/batch2-tiles dataset. It achieves the following results on the evaluation set:

Loss: 0.0083
Mean Iou: 0.7423
Mean Accuracy: 0.7973
Overall Accuracy: 0.9966
Accuracy Abnormality: 0.5957
Iou Abnormality: 0.4880

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: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 100

Training results

Training Loss	Epoch	Step	Validation Loss	Mean Iou	Mean Accuracy	Overall Accuracy	Accuracy Abnormality	Iou Abnormality
0.5421	0.2222	10	0.6201	0.5364	0.5973	0.9881	0.2023	0.0848
0.4903	0.4444	20	0.6164	0.5614	0.6924	0.9864	0.3952	0.1364
0.429	0.6667	30	0.4972	0.5783	0.7153	0.9882	0.4393	0.1684
0.3444	0.8889	40	0.4522	0.5662	0.6922	0.9874	0.3938	0.1451
0.297	1.1111	50	0.4881	0.5453	0.7899	0.9749	0.6028	0.1157
0.2467	1.3333	60	0.2280	0.5709	0.6650	0.9898	0.3367	0.1520
0.2096	1.5556	70	0.2829	0.5780	0.6811	0.9899	0.3689	0.1662
0.1953	1.7778	80	0.2496	0.5765	0.6850	0.9895	0.3771	0.1635
0.2027	2.0	90	0.1592	0.5526	0.7262	0.9819	0.4676	0.1234
0.1856	2.2222	100	0.2855	0.6142	0.7206	0.9921	0.4461	0.2363
0.1617	2.4444	110	0.0866	0.5910	0.6594	0.9925	0.3227	0.1896
0.13	2.6667	120	0.3148	0.6422	0.6787	0.9952	0.3588	0.2892
0.1636	2.8889	130	0.2096	0.5948	0.7110	0.9906	0.4282	0.1991
0.1091	3.1111	140	0.1398	0.6428	0.6956	0.9948	0.3931	0.2908
0.1392	3.3333	150	0.1403	0.6211	0.6532	0.9949	0.3077	0.2473
0.0989	3.5556	160	0.1428	0.6356	0.6790	0.9949	0.3597	0.2764
0.0943	3.7778	170	0.1126	0.6395	0.6751	0.9952	0.3515	0.2838
0.104	4.0	180	0.1105	0.6293	0.6718	0.9948	0.3454	0.2639
0.0995	4.2222	190	0.1058	0.6309	0.6551	0.9953	0.3112	0.2664
0.079	4.4444	200	0.1206	0.6582	0.7151	0.9950	0.4321	0.3215
0.0648	4.6667	210	0.0643	0.6525	0.7172	0.9947	0.4367	0.3104
0.0692	4.8889	220	0.0926	0.6590	0.7047	0.9953	0.4108	0.3228
0.0522	5.1111	230	0.0758	0.6448	0.6666	0.9956	0.3339	0.2940
0.093	5.3333	240	0.1058	0.6583	0.6841	0.9957	0.3690	0.3208
0.0651	5.5556	250	0.0632	0.6618	0.7129	0.9952	0.4274	0.3283
0.056	5.7778	260	0.0624	0.6727	0.7237	0.9955	0.4489	0.3500
0.0513	6.0	270	0.1164	0.6883	0.7505	0.9956	0.5027	0.3811
0.0449	6.2222	280	0.0450	0.6778	0.7224	0.9957	0.4460	0.3599
0.0472	6.4444	290	0.0705	0.6874	0.7456	0.9956	0.4929	0.3791
0.0469	6.6667	300	0.0555	0.6752	0.7141	0.9957	0.4293	0.3547
0.0373	6.8889	310	0.0552	0.6748	0.7162	0.9957	0.4336	0.3538
0.0469	7.1111	320	0.0724	0.6792	0.7085	0.9960	0.4179	0.3624
0.0716	7.3333	330	0.0417	0.6858	0.7424	0.9956	0.4865	0.3760
0.0485	7.5556	340	0.0485	0.6738	0.7051	0.9959	0.4110	0.3518
0.0445	7.7778	350	0.0415	0.6786	0.7158	0.9958	0.4326	0.3614
0.0324	8.0	360	0.0476	0.7000	0.7513	0.9959	0.5039	0.4040
0.0358	8.2222	370	0.0534	0.7040	0.7626	0.9959	0.5267	0.4121
0.0362	8.4444	380	0.0398	0.6945	0.7368	0.9960	0.4747	0.3931
0.0349	8.6667	390	0.0527	0.6989	0.7580	0.9958	0.5176	0.4021
0.0386	8.8889	400	0.0281	0.6918	0.7262	0.9961	0.4533	0.3875
0.0304	9.1111	410	0.0433	0.6992	0.7391	0.9961	0.4792	0.4023
0.0286	9.3333	420	0.0640	0.7101	0.7897	0.9957	0.5814	0.4244
0.0229	9.5556	430	0.0456	0.7028	0.7494	0.9961	0.5000	0.4096
0.0264	9.7778	440	0.0357	0.6915	0.7295	0.9960	0.4600	0.3870
0.0314	10.0	450	0.0313	0.7062	0.7623	0.9960	0.5260	0.4164
0.0373	10.2222	460	0.0371	0.7029	0.7585	0.9959	0.5184	0.4099
0.0228	10.4444	470	0.0318	0.7041	0.7585	0.9960	0.5185	0.4123
0.0278	10.6667	480	0.0280	0.7079	0.7660	0.9960	0.5335	0.4199
0.0232	10.8889	490	0.0241	0.6946	0.7246	0.9962	0.4500	0.3930
0.028	11.1111	500	0.0518	0.7112	0.7749	0.9960	0.5514	0.4264
0.0203	11.3333	510	0.0691	0.7148	0.8081	0.9956	0.6184	0.4341
0.0235	11.5556	520	0.0229	0.7068	0.7568	0.9961	0.5149	0.4175
0.0209	11.7778	530	0.0229	0.7059	0.7531	0.9961	0.5073	0.4156
0.0227	12.0	540	0.0288	0.7117	0.7680	0.9961	0.5373	0.4273
0.0244	12.2222	550	0.0314	0.7165	0.8011	0.9958	0.6044	0.4372
0.0181	12.4444	560	0.0303	0.7142	0.7849	0.9959	0.5716	0.4324
0.0252	12.6667	570	0.0309	0.7130	0.7733	0.9960	0.5482	0.4299
0.0219	12.8889	580	0.0230	0.7071	0.7608	0.9960	0.5230	0.4181
0.0198	13.1111	590	0.0189	0.7027	0.7395	0.9962	0.4800	0.4091
0.0173	13.3333	600	0.0347	0.7157	0.7891	0.9959	0.5799	0.4356
0.0167	13.5556	610	0.0268	0.7164	0.7915	0.9959	0.5849	0.4369
0.0233	13.7778	620	0.0195	0.7071	0.7484	0.9962	0.4979	0.4180
0.0148	14.0	630	0.0366	0.7182	0.8063	0.9957	0.6148	0.4406
0.0262	14.2222	640	0.0288	0.7182	0.8026	0.9958	0.6072	0.4407
0.0369	14.4444	650	0.0202	0.7133	0.7657	0.9962	0.5327	0.4304
0.0159	14.6667	660	0.0194	0.7125	0.7616	0.9962	0.5245	0.4287
0.0159	14.8889	670	0.0242	0.7183	0.7926	0.9959	0.5870	0.4407
0.0247	15.1111	680	0.0254	0.7170	0.7823	0.9960	0.5663	0.4380
0.0118	15.3333	690	0.0239	0.7186	0.7992	0.9959	0.6003	0.4414
0.0219	15.5556	700	0.0218	0.7167	0.7846	0.9960	0.5710	0.4374
0.0212	15.7778	710	0.0173	0.7107	0.7598	0.9962	0.5208	0.4253
0.0146	16.0	720	0.0228	0.7182	0.7937	0.9959	0.5893	0.4406
0.0257	16.2222	730	0.0235	0.7193	0.8033	0.9958	0.6087	0.4429
0.0134	16.4444	740	0.0243	0.7195	0.7994	0.9959	0.6007	0.4432
0.0133	16.6667	750	0.0239	0.7193	0.7944	0.9959	0.5907	0.4426
0.0174	16.8889	760	0.0220	0.7147	0.7717	0.9961	0.5448	0.4334
0.0283	17.1111	770	0.0187	0.7113	0.7622	0.9961	0.5257	0.4265
0.0173	17.3333	780	0.0173	0.7177	0.7914	0.9959	0.5847	0.4395
0.0196	17.5556	790	0.0189	0.7190	0.7894	0.9960	0.5805	0.4419
0.0142	17.7778	800	0.0202	0.7191	0.7871	0.9960	0.5758	0.4423
0.0158	18.0	810	0.0194	0.7189	0.7844	0.9961	0.5704	0.4417
0.0112	18.2222	820	0.0279	0.7197	0.7963	0.9959	0.5945	0.4434
0.0146	18.4444	830	0.0204	0.7157	0.7711	0.9962	0.5436	0.4353
0.0133	18.6667	840	0.0154	0.7179	0.7892	0.9960	0.5802	0.4399
0.0128	18.8889	850	0.0150	0.7092	0.7517	0.9962	0.5045	0.4223
0.0088	19.1111	860	0.0178	0.7151	0.7673	0.9962	0.5358	0.4340
0.0138	19.3333	870	0.0189	0.7193	0.7918	0.9960	0.5854	0.4427
0.0155	19.5556	880	0.0187	0.7180	0.7818	0.9961	0.5651	0.4400
0.0161	19.7778	890	0.0195	0.7192	0.7846	0.9961	0.5708	0.4424
0.0164	20.0	900	0.0217	0.7206	0.7960	0.9960	0.5938	0.4452
0.0091	20.2222	910	0.0199	0.7198	0.7858	0.9961	0.5732	0.4435
0.0154	20.4444	920	0.0160	0.7162	0.7751	0.9961	0.5517	0.4363
0.0137	20.6667	930	0.0157	0.7186	0.7863	0.9960	0.5743	0.4411
0.0086	20.8889	940	0.0194	0.7181	0.7773	0.9961	0.5560	0.4401
0.0174	21.1111	950	0.0180	0.7194	0.7874	0.9960	0.5765	0.4428
0.0129	21.3333	960	0.0164	0.7210	0.7963	0.9960	0.5945	0.4460
0.0197	21.5556	970	0.0170	0.7207	0.7976	0.9960	0.5971	0.4455
0.0081	21.7778	980	0.0173	0.7204	0.7879	0.9961	0.5775	0.4447
0.0267	22.0	990	0.0166	0.7177	0.7745	0.9962	0.5503	0.4393
0.0094	22.2222	1000	0.0174	0.7207	0.8004	0.9959	0.6027	0.4455
0.0122	22.4444	1010	0.0150	0.7173	0.7722	0.9962	0.5458	0.4384
0.0088	22.6667	1020	0.0145	0.7193	0.7810	0.9961	0.5636	0.4425
0.0101	22.8889	1030	0.0153	0.7203	0.7887	0.9961	0.5791	0.4445
0.0245	23.1111	1040	0.0172	0.7210	0.7905	0.9961	0.5826	0.4459
0.0087	23.3333	1050	0.0223	0.7215	0.8093	0.9958	0.6208	0.4472
0.0332	23.5556	1060	0.0162	0.7216	0.7948	0.9960	0.5914	0.4472
0.0102	23.7778	1070	0.0150	0.7213	0.7913	0.9961	0.5844	0.4465
0.0083	24.0	1080	0.0147	0.7210	0.7895	0.9961	0.5807	0.4459
0.011	24.2222	1090	0.0158	0.7204	0.7847	0.9961	0.5710	0.4448
0.0156	24.4444	1100	0.0157	0.7203	0.7836	0.9961	0.5687	0.4445
0.0153	24.6667	1110	0.0148	0.7198	0.7825	0.9961	0.5666	0.4435
0.0118	24.8889	1120	0.0150	0.7204	0.7850	0.9961	0.5715	0.4448
0.0112	25.1111	1130	0.0151	0.7223	0.7959	0.9960	0.5936	0.4485
0.006	25.3333	1140	0.0157	0.7228	0.8045	0.9959	0.6109	0.4498
0.012	25.5556	1150	0.0147	0.7199	0.7782	0.9962	0.5579	0.4437
0.0126	25.7778	1160	0.0167	0.7230	0.7980	0.9960	0.5979	0.4499
0.0096	26.0	1170	0.0153	0.7220	0.7902	0.9961	0.5821	0.4479
0.0136	26.2222	1180	0.0167	0.7230	0.8001	0.9960	0.6021	0.4499
0.0157	26.4444	1190	0.0155	0.7221	0.7899	0.9961	0.5815	0.4480
0.0105	26.6667	1200	0.0128	0.7154	0.7646	0.9962	0.5305	0.4346
0.0257	26.8889	1210	0.0149	0.7217	0.7889	0.9961	0.5794	0.4473
0.0167	27.1111	1220	0.0181	0.7231	0.8121	0.9958	0.6263	0.4505
0.009	27.3333	1230	0.0146	0.7221	0.7883	0.9961	0.5782	0.4481
0.0136	27.5556	1240	0.0137	0.7198	0.7778	0.9962	0.5569	0.4435
0.0149	27.7778	1250	0.0133	0.7175	0.7686	0.9962	0.5384	0.4388
0.0153	28.0	1260	0.0130	0.7149	0.7566	0.9963	0.5143	0.4335
0.0132	28.2222	1270	0.0135	0.7181	0.7662	0.9963	0.5335	0.4399
0.007	28.4444	1280	0.0149	0.7236	0.7929	0.9961	0.5875	0.4510
0.0149	28.6667	1290	0.0136	0.7221	0.7818	0.9962	0.5650	0.4480
0.0111	28.8889	1300	0.0130	0.7183	0.7688	0.9963	0.5389	0.4403
0.0127	29.1111	1310	0.0152	0.7240	0.8267	0.9957	0.6559	0.4522
0.0091	29.3333	1320	0.0141	0.7194	0.7692	0.9963	0.5396	0.4426
0.0093	29.5556	1330	0.0150	0.7252	0.8009	0.9961	0.6036	0.4544
0.0071	29.7778	1340	0.0132	0.7238	0.7898	0.9962	0.5812	0.4515
0.0121	30.0	1350	0.0125	0.7193	0.7676	0.9963	0.5363	0.4424
0.0103	30.2222	1360	0.0137	0.7221	0.7805	0.9962	0.5623	0.4480
0.0091	30.4444	1370	0.0146	0.7240	0.7924	0.9961	0.5865	0.4519
0.0118	30.6667	1380	0.0144	0.7225	0.7811	0.9962	0.5637	0.4487
0.0104	30.8889	1390	0.0127	0.7219	0.7794	0.9962	0.5601	0.4476
0.0054	31.1111	1400	0.0125	0.7206	0.7729	0.9963	0.5471	0.4448
0.0072	31.3333	1410	0.0128	0.7227	0.7826	0.9962	0.5667	0.4493
0.0061	31.5556	1420	0.0132	0.7244	0.7930	0.9961	0.5876	0.4528
0.0162	31.7778	1430	0.0130	0.7245	0.7929	0.9961	0.5875	0.4529
0.008	32.0	1440	0.0128	0.7245	0.7872	0.9962	0.5758	0.4529
0.0088	32.2222	1450	0.0120	0.7179	0.7637	0.9963	0.5285	0.4395
0.0089	32.4444	1460	0.0166	0.7268	0.8211	0.9958	0.6445	0.4578
0.0096	32.6667	1470	0.0132	0.7191	0.7654	0.9963	0.5319	0.4418
0.0095	32.8889	1480	0.0129	0.7247	0.7862	0.9962	0.5739	0.4532
0.0196	33.1111	1490	0.0122	0.7237	0.7800	0.9963	0.5613	0.4512
0.0246	33.3333	1500	0.0112	0.7190	0.7620	0.9964	0.5251	0.4416
0.0122	33.5556	1510	0.0119	0.7223	0.7761	0.9963	0.5535	0.4484
0.0164	33.7778	1520	0.0134	0.7269	0.8059	0.9960	0.6136	0.4578
0.0106	34.0	1530	0.0122	0.7249	0.7855	0.9962	0.5725	0.4535
0.0147	34.2222	1540	0.0121	0.7263	0.7926	0.9962	0.5868	0.4564
0.0077	34.4444	1550	0.0125	0.7267	0.7931	0.9962	0.5877	0.4573
0.0081	34.6667	1560	0.0123	0.7259	0.7882	0.9962	0.5779	0.4556
0.0097	34.8889	1570	0.0125	0.7242	0.7808	0.9963	0.5629	0.4521
0.021	35.1111	1580	0.0130	0.7276	0.8021	0.9961	0.6059	0.4590
0.0062	35.3333	1590	0.0114	0.7209	0.7665	0.9964	0.5340	0.4454
0.0077	35.5556	1600	0.0122	0.7266	0.7987	0.9961	0.5991	0.4570
0.0059	35.7778	1610	0.0122	0.7247	0.7798	0.9963	0.5609	0.4531
0.0076	36.0	1620	0.0134	0.7255	0.7850	0.9963	0.5714	0.4547
0.009	36.2222	1630	0.0133	0.7280	0.8018	0.9961	0.6052	0.4599
0.0161	36.4444	1640	0.0113	0.7254	0.7819	0.9963	0.5651	0.4545
0.0071	36.6667	1650	0.0108	0.7192	0.7619	0.9964	0.5248	0.4420
0.0151	36.8889	1660	0.0110	0.7257	0.7814	0.9963	0.5641	0.4551
0.0034	37.1111	1670	0.0129	0.7278	0.7999	0.9961	0.6015	0.4596
0.0147	37.3333	1680	0.0142	0.7285	0.8065	0.9961	0.6147	0.4610
0.0119	37.5556	1690	0.0121	0.7266	0.7896	0.9962	0.5806	0.4569
0.0074	37.7778	1700	0.0117	0.7277	0.7958	0.9962	0.5932	0.4591
0.0118	38.0	1710	0.0109	0.7207	0.7660	0.9964	0.5331	0.4450
0.0055	38.2222	1720	0.0110	0.7230	0.7726	0.9964	0.5464	0.4496
0.0085	38.4444	1730	0.0114	0.7279	0.7961	0.9962	0.5937	0.4596
0.0242	38.6667	1740	0.0115	0.7228	0.7671	0.9964	0.5352	0.4492
0.0131	38.8889	1750	0.0119	0.7275	0.7882	0.9963	0.5778	0.4586
0.0111	39.1111	1760	0.0115	0.7284	0.7946	0.9962	0.5907	0.4605
0.0066	39.3333	1770	0.0120	0.7298	0.8032	0.9962	0.6080	0.4635
0.0053	39.5556	1780	0.0117	0.7265	0.7800	0.9964	0.5613	0.4567
0.0046	39.7778	1790	0.0122	0.7306	0.8070	0.9961	0.6158	0.4650
0.009	40.0	1800	0.0116	0.7293	0.7976	0.9962	0.5968	0.4624
0.0037	40.2222	1810	0.0114	0.7308	0.8088	0.9961	0.6194	0.4655
0.0138	40.4444	1820	0.0117	0.7305	0.8063	0.9961	0.6143	0.4649
0.006	40.6667	1830	0.0111	0.7257	0.7776	0.9964	0.5564	0.4549
0.0081	40.8889	1840	0.0109	0.7282	0.7854	0.9963	0.5722	0.4600
0.0056	41.1111	1850	0.0116	0.7300	0.8015	0.9962	0.6046	0.4639
0.0097	41.3333	1860	0.0118	0.7290	0.7910	0.9963	0.5833	0.4618
0.0057	41.5556	1870	0.0118	0.7310	0.8070	0.9962	0.6159	0.4659
0.005	41.7778	1880	0.0109	0.7269	0.7783	0.9964	0.5578	0.4575
0.0071	42.0	1890	0.0108	0.7281	0.7829	0.9964	0.5672	0.4598
0.0068	42.2222	1900	0.0103	0.7246	0.7707	0.9964	0.5425	0.4527
0.0069	42.4444	1910	0.0104	0.7243	0.7691	0.9964	0.5392	0.4522
0.0153	42.6667	1920	0.0105	0.7279	0.7810	0.9964	0.5632	0.4595
0.0219	42.8889	1930	0.0108	0.7300	0.7906	0.9963	0.5827	0.4636
0.0111	43.1111	1940	0.0111	0.7303	0.7934	0.9963	0.5882	0.4643
0.007	43.3333	1950	0.0108	0.7309	0.7951	0.9963	0.5916	0.4656
0.0054	43.5556	1960	0.0106	0.7316	0.7977	0.9963	0.5969	0.4669
0.0102	43.7778	1970	0.0104	0.7298	0.7853	0.9964	0.5719	0.4632
0.0119	44.0	1980	0.0103	0.7282	0.7797	0.9964	0.5606	0.4600
0.0106	44.2222	1990	0.0105	0.7286	0.7811	0.9964	0.5634	0.4607
0.0073	44.4444	2000	0.0117	0.7313	0.7942	0.9963	0.5898	0.4663
0.0056	44.6667	2010	0.0110	0.7326	0.8024	0.9963	0.6064	0.4689
0.0178	44.8889	2020	0.0107	0.7309	0.7914	0.9963	0.5843	0.4654
0.0105	45.1111	2030	0.0103	0.7300	0.7882	0.9964	0.5778	0.4636
0.0081	45.3333	2040	0.0100	0.7258	0.7715	0.9965	0.5440	0.4552
0.0041	45.5556	2050	0.0102	0.7309	0.7890	0.9964	0.5793	0.4655
0.0087	45.7778	2060	0.0103	0.7315	0.7904	0.9964	0.5822	0.4666
0.0076	46.0	2070	0.0106	0.7319	0.7927	0.9964	0.5868	0.4674
0.0077	46.2222	2080	0.0103	0.7294	0.7817	0.9964	0.5645	0.4625
0.0073	46.4444	2090	0.0105	0.7325	0.7940	0.9964	0.5894	0.4686
0.0051	46.6667	2100	0.0105	0.7328	0.8019	0.9963	0.6053	0.4694
0.0093	46.8889	2110	0.0106	0.7316	0.7918	0.9964	0.5849	0.4669
0.0061	47.1111	2120	0.0101	0.7262	0.7697	0.9965	0.5404	0.4560
0.0149	47.3333	2130	0.0099	0.7304	0.7826	0.9964	0.5664	0.4643
0.0084	47.5556	2140	0.0105	0.7312	0.7858	0.9964	0.5728	0.4660
0.0053	47.7778	2150	0.0105	0.7312	0.7877	0.9964	0.5766	0.4659
0.0188	48.0	2160	0.0100	0.7311	0.7847	0.9964	0.5707	0.4657
0.0062	48.2222	2170	0.0102	0.7293	0.7789	0.9965	0.5589	0.4621
0.0072	48.4444	2180	0.0101	0.7308	0.7850	0.9964	0.5712	0.4652
0.0057	48.6667	2190	0.0100	0.7311	0.7852	0.9964	0.5717	0.4658
0.0085	48.8889	2200	0.0101	0.7330	0.7941	0.9964	0.5897	0.4697
0.0076	49.1111	2210	0.0104	0.7324	0.7895	0.9964	0.5803	0.4684
0.006	49.3333	2220	0.0100	0.7317	0.7872	0.9964	0.5756	0.4670
0.0145	49.5556	2230	0.0099	0.7312	0.7861	0.9964	0.5734	0.4660
0.0061	49.7778	2240	0.0099	0.7308	0.7835	0.9964	0.5683	0.4652
0.0072	50.0	2250	0.0103	0.7342	0.7993	0.9963	0.6001	0.4720
0.0081	50.2222	2260	0.0101	0.7332	0.7936	0.9964	0.5885	0.4701
0.0126	50.4444	2270	0.0100	0.7334	0.7921	0.9964	0.5855	0.4703
0.0078	50.6667	2280	0.0100	0.7321	0.7857	0.9965	0.5727	0.4678
0.0097	50.8889	2290	0.0100	0.7337	0.7923	0.9964	0.5859	0.4710
0.0099	51.1111	2300	0.0099	0.7334	0.7915	0.9964	0.5843	0.4704
0.0075	51.3333	2310	0.0097	0.7303	0.7799	0.9965	0.5610	0.4642
0.0104	51.5556	2320	0.0098	0.7339	0.7939	0.9964	0.5892	0.4713
0.0051	51.7778	2330	0.0097	0.7332	0.7896	0.9964	0.5805	0.4700
0.0072	52.0	2340	0.0096	0.7300	0.7777	0.9965	0.5565	0.4635
0.0069	52.2222	2350	0.0101	0.7351	0.8052	0.9963	0.6121	0.4739
0.0051	52.4444	2360	0.0102	0.7340	0.7923	0.9964	0.5860	0.4716
0.006	52.6667	2370	0.0102	0.7344	0.7929	0.9964	0.5870	0.4724
0.0038	52.8889	2380	0.0096	0.7338	0.7895	0.9965	0.5804	0.4711
0.0071	53.1111	2390	0.0095	0.7305	0.7787	0.9965	0.5586	0.4645
0.0066	53.3333	2400	0.0096	0.7346	0.7945	0.9964	0.5904	0.4728
0.0135	53.5556	2410	0.0096	0.7289	0.7718	0.9965	0.5446	0.4614
0.0138	53.7778	2420	0.0097	0.7337	0.7887	0.9965	0.5787	0.4709
0.0077	54.0	2430	0.0098	0.7349	0.7970	0.9964	0.5953	0.4735
0.0076	54.2222	2440	0.0099	0.7332	0.7865	0.9965	0.5743	0.4698
0.0115	54.4444	2450	0.0097	0.7344	0.7923	0.9964	0.5860	0.4724
0.0048	54.6667	2460	0.0095	0.7346	0.7937	0.9964	0.5887	0.4728
0.007	54.8889	2470	0.0094	0.7330	0.7863	0.9965	0.5739	0.4696
0.0033	55.1111	2480	0.0095	0.7341	0.7901	0.9965	0.5814	0.4718
0.0068	55.3333	2490	0.0097	0.7359	0.7966	0.9964	0.5945	0.4753
0.0056	55.5556	2500	0.0100	0.7369	0.8031	0.9964	0.6076	0.4774
0.0125	55.7778	2510	0.0098	0.7343	0.7886	0.9965	0.5784	0.4722
0.005	56.0	2520	0.0096	0.7363	0.7973	0.9964	0.5959	0.4762
0.0055	56.2222	2530	0.0093	0.7336	0.7855	0.9965	0.5721	0.4708
0.0182	56.4444	2540	0.0093	0.7332	0.7848	0.9965	0.5707	0.4699
0.0066	56.6667	2550	0.0093	0.7323	0.7821	0.9965	0.5654	0.4681
0.0171	56.8889	2560	0.0093	0.7351	0.7920	0.9965	0.5854	0.4737
0.0084	57.1111	2570	0.0093	0.7334	0.7847	0.9965	0.5705	0.4702
0.0077	57.3333	2580	0.0094	0.7341	0.7879	0.9965	0.5770	0.4717
0.0098	57.5556	2590	0.0096	0.7365	0.7989	0.9964	0.5992	0.4765
0.0082	57.7778	2600	0.0093	0.7332	0.7838	0.9965	0.5687	0.4700
0.0074	58.0	2610	0.0095	0.7370	0.7985	0.9964	0.5985	0.4776
0.0049	58.2222	2620	0.0094	0.7353	0.7915	0.9965	0.5844	0.4741
0.0078	58.4444	2630	0.0094	0.7364	0.7986	0.9964	0.5987	0.4764
0.014	58.6667	2640	0.0094	0.7362	0.7963	0.9964	0.5940	0.4760
0.0157	58.8889	2650	0.0093	0.7335	0.7845	0.9965	0.5701	0.4705
0.0071	59.1111	2660	0.0094	0.7361	0.7926	0.9965	0.5865	0.4758
0.0061	59.3333	2670	0.0093	0.7361	0.7923	0.9965	0.5858	0.4757
0.0075	59.5556	2680	0.0095	0.7370	0.7966	0.9965	0.5945	0.4775
0.0147	59.7778	2690	0.0095	0.7369	0.7951	0.9965	0.5914	0.4774
0.0047	60.0	2700	0.0094	0.7373	0.7960	0.9965	0.5933	0.4781
0.0084	60.2222	2710	0.0091	0.7340	0.7840	0.9965	0.5692	0.4715
0.0074	60.4444	2720	0.0091	0.7364	0.7939	0.9965	0.5891	0.4764
0.006	60.6667	2730	0.0091	0.7357	0.7910	0.9965	0.5833	0.4750
0.0045	60.8889	2740	0.0091	0.7358	0.7896	0.9965	0.5805	0.4752
0.0055	61.1111	2750	0.0091	0.7363	0.7923	0.9965	0.5859	0.4761
0.0151	61.3333	2760	0.0092	0.7342	0.7844	0.9965	0.5699	0.4719
0.0216	61.5556	2770	0.0092	0.7368	0.7924	0.9965	0.5861	0.4772
0.0112	61.7778	2780	0.0092	0.7370	0.7929	0.9965	0.5870	0.4776
0.0048	62.0	2790	0.0092	0.7379	0.7964	0.9965	0.5940	0.4792
0.006	62.2222	2800	0.0092	0.7384	0.7993	0.9965	0.5999	0.4803
0.0108	62.4444	2810	0.0092	0.7358	0.7881	0.9965	0.5773	0.4750
0.0217	62.6667	2820	0.0091	0.7356	0.7877	0.9965	0.5765	0.4748
0.0206	62.8889	2830	0.0090	0.7353	0.7873	0.9965	0.5758	0.4740
0.0078	63.1111	2840	0.0091	0.7351	0.7856	0.9965	0.5723	0.4736
0.0077	63.3333	2850	0.0091	0.7374	0.7928	0.9965	0.5868	0.4783
0.0097	63.5556	2860	0.0092	0.7351	0.7860	0.9965	0.5731	0.4737
0.013	63.7778	2870	0.0090	0.7361	0.7897	0.9965	0.5805	0.4758
0.0026	64.0	2880	0.0090	0.7385	0.8008	0.9964	0.6031	0.4805
0.0137	64.2222	2890	0.0090	0.7363	0.7894	0.9965	0.5800	0.4761
0.0059	64.4444	2900	0.0090	0.7371	0.7910	0.9965	0.5832	0.4776
0.0027	64.6667	2910	0.0091	0.7376	0.7938	0.9965	0.5889	0.4788
0.0106	64.8889	2920	0.0090	0.7377	0.7944	0.9965	0.5901	0.4790
0.0072	65.1111	2930	0.0090	0.7372	0.7925	0.9965	0.5863	0.4780
0.0094	65.3333	2940	0.0090	0.7352	0.7848	0.9965	0.5707	0.4738
0.0062	65.5556	2950	0.0089	0.7376	0.7934	0.9965	0.5881	0.4787
0.0068	65.7778	2960	0.0089	0.7381	0.7948	0.9965	0.5908	0.4796
0.0098	66.0	2970	0.0090	0.7392	0.7989	0.9965	0.5991	0.4819
0.0133	66.2222	2980	0.0089	0.7367	0.7899	0.9965	0.5809	0.4769
0.0047	66.4444	2990	0.0090	0.7374	0.7931	0.9965	0.5874	0.4784
0.0025	66.6667	3000	0.0091	0.7400	0.8038	0.9965	0.6090	0.4835
0.0046	66.8889	3010	0.0090	0.7376	0.7932	0.9965	0.5877	0.4786
0.0068	67.1111	3020	0.0089	0.7367	0.7893	0.9965	0.5798	0.4769
0.0182	67.3333	3030	0.0088	0.7365	0.7887	0.9965	0.5786	0.4766
0.0039	67.5556	3040	0.0089	0.7386	0.7969	0.9965	0.5951	0.4807
0.0044	67.7778	3050	0.0089	0.7385	0.7950	0.9965	0.5913	0.4804
0.0161	68.0	3060	0.0089	0.7366	0.7870	0.9966	0.5751	0.4767
0.0026	68.2222	3070	0.0089	0.7375	0.7897	0.9966	0.5806	0.4785
0.007	68.4444	3080	0.0089	0.7371	0.7885	0.9966	0.5781	0.4777
0.0076	68.6667	3090	0.0088	0.7391	0.7960	0.9965	0.5933	0.4818
0.009	68.8889	3100	0.0088	0.7390	0.7958	0.9965	0.5928	0.4815
0.0059	69.1111	3110	0.0088	0.7393	0.7971	0.9965	0.5955	0.4821
0.005	69.3333	3120	0.0089	0.7382	0.7932	0.9965	0.5877	0.4798
0.0045	69.5556	3130	0.0089	0.7346	0.7801	0.9966	0.5612	0.4726
0.0064	69.7778	3140	0.0089	0.7373	0.7885	0.9966	0.5781	0.4781
0.0047	70.0	3150	0.0089	0.7365	0.7868	0.9966	0.5748	0.4765
0.0152	70.2222	3160	0.0089	0.7386	0.7930	0.9965	0.5872	0.4807
0.013	70.4444	3170	0.0088	0.7380	0.7895	0.9966	0.5802	0.4794
0.0039	70.6667	3180	0.0087	0.7392	0.7947	0.9965	0.5906	0.4818
0.0074	70.8889	3190	0.0088	0.7389	0.7937	0.9965	0.5886	0.4814
0.0194	71.1111	3200	0.0088	0.7393	0.7952	0.9965	0.5916	0.4821
0.0098	71.3333	3210	0.0088	0.7391	0.7942	0.9965	0.5896	0.4816
0.0073	71.5556	3220	0.0086	0.7387	0.7926	0.9965	0.5865	0.4808
0.0045	71.7778	3230	0.0087	0.7378	0.7893	0.9966	0.5798	0.4791
0.0064	72.0	3240	0.0087	0.7374	0.7882	0.9966	0.5775	0.4782
0.0059	72.2222	3250	0.0087	0.7394	0.7944	0.9965	0.5900	0.4822
0.0128	72.4444	3260	0.0087	0.7387	0.7917	0.9966	0.5846	0.4809
0.0092	72.6667	3270	0.0087	0.7393	0.7940	0.9965	0.5893	0.4820
0.0033	72.8889	3280	0.0088	0.7379	0.7891	0.9966	0.5794	0.4793
0.004	73.1111	3290	0.0087	0.7384	0.7900	0.9966	0.5811	0.4803
0.0099	73.3333	3300	0.0087	0.7391	0.7927	0.9966	0.5867	0.4816
0.0131	73.5556	3310	0.0087	0.7383	0.7905	0.9966	0.5822	0.4800
0.0096	73.7778	3320	0.0088	0.7422	0.8048	0.9965	0.6109	0.4880
0.0034	74.0	3330	0.0087	0.7407	0.7986	0.9965	0.5986	0.4849
0.0043	74.2222	3340	0.0086	0.7401	0.7957	0.9966	0.5926	0.4836
0.016	74.4444	3350	0.0086	0.7390	0.7917	0.9966	0.5845	0.4814
0.0066	74.6667	3360	0.0087	0.7390	0.7922	0.9966	0.5857	0.4815
0.0023	74.8889	3370	0.0087	0.7406	0.7987	0.9965	0.5987	0.4848
0.0177	75.1111	3380	0.0085	0.7393	0.7926	0.9966	0.5864	0.4820
0.0126	75.3333	3390	0.0086	0.7391	0.7916	0.9966	0.5844	0.4817
0.0128	75.5556	3400	0.0086	0.7401	0.7950	0.9966	0.5912	0.4837
0.0039	75.7778	3410	0.0086	0.7402	0.7961	0.9965	0.5935	0.4838
0.0083	76.0	3420	0.0086	0.7414	0.8018	0.9965	0.6049	0.4863
0.0056	76.2222	3430	0.0086	0.7412	0.7997	0.9965	0.6007	0.4860
0.0052	76.4444	3440	0.0087	0.7418	0.8020	0.9965	0.6053	0.4871
0.0025	76.6667	3450	0.0087	0.7417	0.8022	0.9965	0.6057	0.4868
0.0041	76.8889	3460	0.0087	0.7410	0.7980	0.9966	0.5973	0.4854
0.0167	77.1111	3470	0.0085	0.7379	0.7865	0.9966	0.5740	0.4792
0.0102	77.3333	3480	0.0086	0.7412	0.7983	0.9966	0.5978	0.4859
0.0099	77.5556	3490	0.0086	0.7403	0.7956	0.9966	0.5924	0.4841
0.0138	77.7778	3500	0.0085	0.7397	0.7929	0.9966	0.5871	0.4828
0.0099	78.0	3510	0.0085	0.7420	0.8014	0.9965	0.6042	0.4875
0.0217	78.2222	3520	0.0084	0.7399	0.7935	0.9966	0.5882	0.4833
0.0059	78.4444	3530	0.0086	0.7421	0.8006	0.9966	0.6025	0.4876
0.0036	78.6667	3540	0.0086	0.7420	0.8012	0.9965	0.6036	0.4875
0.0069	78.8889	3550	0.0086	0.7407	0.7955	0.9966	0.5923	0.4849
0.0028	79.1111	3560	0.0085	0.7409	0.7968	0.9966	0.5949	0.4852
0.0062	79.3333	3570	0.0085	0.7406	0.7956	0.9966	0.5925	0.4847
0.0073	79.5556	3580	0.0085	0.7420	0.8016	0.9965	0.6046	0.4875
0.0117	79.7778	3590	0.0085	0.7400	0.7944	0.9966	0.5900	0.4834
0.0072	80.0	3600	0.0085	0.7393	0.7904	0.9966	0.5820	0.4821
0.0035	80.2222	3610	0.0085	0.7403	0.7929	0.9966	0.5869	0.4840
0.0126	80.4444	3620	0.0085	0.7403	0.7939	0.9966	0.5889	0.4840
0.0155	80.6667	3630	0.0085	0.7380	0.7857	0.9966	0.5725	0.4794
0.0063	80.8889	3640	0.0085	0.7412	0.7968	0.9966	0.5949	0.4858
0.0056	81.1111	3650	0.0085	0.7395	0.7914	0.9966	0.5840	0.4824
0.0224	81.3333	3660	0.0085	0.7410	0.7958	0.9966	0.5929	0.4854
0.0134	81.5556	3670	0.0086	0.7421	0.8018	0.9965	0.6050	0.4876
0.0141	81.7778	3680	0.0085	0.7409	0.7960	0.9966	0.5933	0.4852
0.0047	82.0	3690	0.0085	0.7415	0.7974	0.9966	0.5960	0.4864
0.0136	82.2222	3700	0.0084	0.7402	0.7928	0.9966	0.5868	0.4839
0.0036	82.4444	3710	0.0084	0.7406	0.7942	0.9966	0.5897	0.4846
0.0055	82.6667	3720	0.0085	0.7407	0.7962	0.9966	0.5936	0.4848
0.0064	82.8889	3730	0.0084	0.7409	0.7960	0.9966	0.5933	0.4853
0.0053	83.1111	3740	0.0084	0.7393	0.7887	0.9966	0.5786	0.4819
0.0133	83.3333	3750	0.0085	0.7408	0.7956	0.9966	0.5924	0.4850
0.0045	83.5556	3760	0.0085	0.7412	0.7976	0.9966	0.5964	0.4859
0.0105	83.7778	3770	0.0084	0.7429	0.8037	0.9965	0.6088	0.4892
0.0049	84.0	3780	0.0084	0.7410	0.7966	0.9966	0.5945	0.4855
0.0024	84.2222	3790	0.0084	0.7406	0.7944	0.9966	0.5901	0.4847
0.0049	84.4444	3800	0.0084	0.7419	0.7992	0.9966	0.5996	0.4873
0.0039	84.6667	3810	0.0084	0.7400	0.7914	0.9966	0.5839	0.4834
0.0058	84.8889	3820	0.0085	0.7429	0.8029	0.9965	0.6072	0.4892
0.0097	85.1111	3830	0.0084	0.7425	0.8011	0.9966	0.6036	0.4886
0.012	85.3333	3840	0.0083	0.7409	0.7942	0.9966	0.5896	0.4852
0.0123	85.5556	3850	0.0084	0.7434	0.8046	0.9965	0.6106	0.4903
0.0107	85.7778	3860	0.0084	0.7411	0.7950	0.9966	0.5911	0.4856
0.0112	86.0	3870	0.0084	0.7412	0.7951	0.9966	0.5913	0.4857
0.0028	86.2222	3880	0.0084	0.7413	0.7957	0.9966	0.5926	0.4861
0.018	86.4444	3890	0.0083	0.7404	0.7918	0.9966	0.5847	0.4843
0.0106	86.6667	3900	0.0083	0.7405	0.7917	0.9966	0.5846	0.4844
0.0038	86.8889	3910	0.0083	0.7403	0.7904	0.9966	0.5820	0.4839
0.0042	87.1111	3920	0.0083	0.7403	0.7909	0.9966	0.5830	0.4839
0.0044	87.3333	3930	0.0084	0.7423	0.7988	0.9966	0.5989	0.4881
0.0112	87.5556	3940	0.0083	0.7423	0.7983	0.9966	0.5978	0.4881
0.0048	87.7778	3950	0.0083	0.7410	0.7932	0.9966	0.5876	0.4855
0.009	88.0	3960	0.0084	0.7434	0.8032	0.9966	0.6077	0.4902
0.0095	88.2222	3970	0.0084	0.7415	0.7951	0.9966	0.5915	0.4865
0.014	88.4444	3980	0.0083	0.7429	0.8008	0.9966	0.6028	0.4892
0.0043	88.6667	3990	0.0084	0.7425	0.7987	0.9966	0.5987	0.4884
0.0164	88.8889	4000	0.0083	0.7415	0.7957	0.9966	0.5926	0.4865
0.0116	89.1111	4010	0.0083	0.7416	0.7950	0.9966	0.5912	0.4866
0.0077	89.3333	4020	0.0084	0.7427	0.8005	0.9966	0.6023	0.4888
0.0074	89.5556	4030	0.0084	0.7427	0.8001	0.9966	0.6014	0.4889
0.0041	89.7778	4040	0.0083	0.7429	0.8013	0.9966	0.6039	0.4893
0.0053	90.0	4050	0.0084	0.7421	0.7975	0.9966	0.5962	0.4876
0.0088	90.2222	4060	0.0084	0.7423	0.7994	0.9966	0.6001	0.4880
0.0031	90.4444	4070	0.0083	0.7416	0.7950	0.9966	0.5911	0.4866
0.0043	90.6667	4080	0.0083	0.7420	0.7974	0.9966	0.5961	0.4874
0.0165	90.8889	4090	0.0083	0.7416	0.7958	0.9966	0.5928	0.4867
0.0032	91.1111	4100	0.0083	0.7426	0.8001	0.9966	0.6015	0.4887
0.0031	91.3333	4110	0.0084	0.7426	0.8001	0.9966	0.6014	0.4886
0.0102	91.5556	4120	0.0084	0.7425	0.7999	0.9966	0.6011	0.4885
0.0138	91.7778	4130	0.0083	0.7413	0.7945	0.9966	0.5903	0.4860
0.0142	92.0	4140	0.0083	0.7414	0.7942	0.9966	0.5897	0.4863
0.009	92.2222	4150	0.0084	0.7435	0.8034	0.9966	0.6081	0.4905
0.0074	92.4444	4160	0.0083	0.7443	0.8080	0.9965	0.6175	0.4920
0.0102	92.6667	4170	0.0084	0.7435	0.8042	0.9965	0.6098	0.4905
0.0061	92.8889	4180	0.0083	0.7411	0.7931	0.9966	0.5872	0.4856
0.0084	93.1111	4190	0.0083	0.7423	0.7984	0.9966	0.5980	0.4880
0.0191	93.3333	4200	0.0083	0.7418	0.7967	0.9966	0.5946	0.4871
0.007	93.5556	4210	0.0083	0.7415	0.7944	0.9966	0.5899	0.4863
0.0048	93.7778	4220	0.0083	0.7420	0.7959	0.9966	0.5930	0.4873
0.0036	94.0	4230	0.0083	0.7432	0.8015	0.9966	0.6044	0.4898
0.0037	94.2222	4240	0.0083	0.7434	0.8027	0.9966	0.6066	0.4903
0.0108	94.4444	4250	0.0083	0.7431	0.8013	0.9966	0.6039	0.4897
0.003	94.6667	4260	0.0083	0.7424	0.7980	0.9966	0.5972	0.4881
0.0062	94.8889	4270	0.0083	0.7425	0.7979	0.9966	0.5971	0.4884
0.0156	95.1111	4280	0.0083	0.7434	0.8020	0.9966	0.6052	0.4903
0.0019	95.3333	4290	0.0083	0.7426	0.7998	0.9966	0.6008	0.4886
0.0098	95.5556	4300	0.0083	0.7426	0.7991	0.9966	0.5995	0.4887
0.0104	95.7778	4310	0.0083	0.7414	0.7938	0.9966	0.5888	0.4863
0.0035	96.0	4320	0.0083	0.7437	0.8048	0.9965	0.6110	0.4910
0.0073	96.2222	4330	0.0083	0.7435	0.8031	0.9966	0.6076	0.4905
0.0124	96.4444	4340	0.0083	0.7425	0.7995	0.9966	0.6002	0.4885
0.0083	96.6667	4350	0.0083	0.7420	0.7967	0.9966	0.5946	0.4874
0.0073	96.8889	4360	0.0083	0.7428	0.8002	0.9966	0.6016	0.4890
0.0178	97.1111	4370	0.0083	0.7423	0.7977	0.9966	0.5966	0.4880
0.0026	97.3333	4380	0.0083	0.7441	0.8060	0.9965	0.6134	0.4916
0.0066	97.5556	4390	0.0083	0.7435	0.8023	0.9966	0.6059	0.4903
0.0021	97.7778	4400	0.0083	0.7433	0.8021	0.9966	0.6055	0.4900
0.0049	98.0	4410	0.0082	0.7422	0.7967	0.9966	0.5946	0.4878
0.0024	98.2222	4420	0.0082	0.7422	0.7970	0.9966	0.5952	0.4878
0.0027	98.4444	4430	0.0082	0.7431	0.8009	0.9966	0.6030	0.4896
0.002	98.6667	4440	0.0082	0.7419	0.7953	0.9966	0.5918	0.4872
0.0033	98.8889	4450	0.0082	0.7423	0.7972	0.9966	0.5956	0.4880
0.0044	99.1111	4460	0.0082	0.7434	0.8020	0.9966	0.6053	0.4902
0.0048	99.3333	4470	0.0082	0.7428	0.7999	0.9966	0.6011	0.4891
0.0036	99.5556	4480	0.0083	0.7431	0.8011	0.9966	0.6035	0.4897
0.013	99.7778	4490	0.0083	0.7421	0.7969	0.9966	0.5950	0.4877
0.0062	100.0	4500	0.0083	0.7423	0.7973	0.9966	0.5957	0.4880

Framework versions

Transformers 4.46.2
Pytorch 2.5.1+cu121
Datasets 3.1.0
Tokenizers 0.20.3

Характеристики

Ссылки

segformer-b0-finetuned-batch2-30nov

Бенчмарки

Публичные оценки

Что умеет модель

Сценарии применения

Ограничения

Карточка модели

segformer-b0-finetuned-batch2-30nov

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

Как запустить