learning_rate: 6e-05
train_batch_size: 8
eval_batch_size: 8
seed: 1337
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: polynomial
num_epochs: 300.0

Training results

Training Loss	Epoch	Step	Accuracy Hallucination	Accuracy Normal	Iou Hallucination	Iou Normal	Validation Loss	Mean Accuracy	Overall Accuracy
No log	1.0	21	nan	nan	0.0	0.0	0.4468	nan	nan
No log	2.0	42	nan	nan	0.0	0.0	0.2196	nan	nan
No log	3.0	63	nan	nan	0.0	0.0	0.2136	nan	nan
No log	4.0	84	nan	nan	0.0	0.0	0.1816	nan	nan
0.3217	5.0	105	nan	nan	0.0	0.0	0.1449	nan	nan
0.3217	6.0	126	nan	nan	0.0	0.0	0.1380	nan	nan
0.3217	7.0	147	nan	nan	0.0	0.0	0.1239	nan	nan
0.3217	8.0	168	nan	nan	0.0	0.0	0.1247	nan	nan
0.3217	9.0	189	nan	nan	0.0	0.0	0.1163	nan	nan
0.1596	9.5238	200	nan	nan	0.0	0.0	0.1181	nan	nan
0.0372	2.0	400	nan	nan	0.0	nan	0.0207	nan	nan
0.014	3.0	600	nan	nan	0.0	nan	0.0095	nan	nan
0.0078	4.0	800	nan	nan	0.0	nan	0.0060	nan	nan
0.0052	5.0	1000	nan	nan	0.0	nan	0.0039	nan	nan
0.0036	6.0	1200	nan	nan	0.0	nan	0.0029	nan	nan
0.0028	7.0	1400	nan	nan	0.0	nan	0.0022	nan	nan
0.0022	8.0	1600	nan	nan	0.0	nan	0.0018	nan	nan
0.0017	9.0	1800	nan	nan	0.0	nan	0.0015	nan	nan
0.0014	10.0	2000	nan	nan	0.0	nan	0.0012	nan	nan
0.0012	11.0	2200	nan	nan	0.0	nan	0.0010	nan	nan
0.0011	12.0	2400	nan	nan	0.0	nan	0.0009	nan	nan
0.0009	13.0	2600	nan	nan	0.0	nan	0.0008	nan	nan
0.0008	14.0	2800	nan	nan	0.0	nan	0.0007	nan	nan
0.0007	15.0	3000	nan	nan	0.0	nan	0.0006	nan	nan
0.0006	16.0	3200	nan	nan	0.0	nan	0.0005	nan	nan
0.0006	17.0	3400	nan	nan	0.0	nan	0.0005	nan	nan
0.0005	18.0	3600	nan	nan	0.0	nan	0.0004	nan	nan
0.0005	19.0	3800	nan	nan	0.0	nan	0.0004	nan	nan
0.0004	20.0	4000	nan	nan	0.0	nan	0.0004	nan	nan
0.0004	21.0	4200	nan	nan	0.0	nan	0.0003	nan	nan
0.0004	22.0	4400	nan	nan	0.0	nan	0.0003	nan	nan
0.0003	23.0	4600	nan	nan	0.0	nan	0.0003	nan	nan
0.0003	24.0	4800	nan	nan	0.0	nan	0.0003	nan	nan
0.0003	25.0	5000	nan	nan	0.0	nan	0.0003	nan	nan
0.0003	26.0	5200	nan	nan	0.0	nan	0.0002	nan	nan
0.0003	27.0	5400	nan	nan	0.0	nan	0.0002	nan	nan
0.0003	28.0	5600	nan	nan	0.0	nan	0.0002	nan	nan
0.0003	29.0	5800	nan	nan	0.0	nan	0.0002	nan	nan
0.0003	30.0	6000	nan	nan	0.0	nan	0.0002	nan	nan
0.3863	31.0	6200	0.3509	0.0	0.0	0.0	nan	0.0	0.0
0.3663	32.0	6400	0.3449	0.0	0.0	0.0	nan	0.0	0.0
0.3563	33.0	6600	0.3311	0.0	0.0	0.0	nan	0.0	0.0
0.3449	34.0	6800	0.3255	0.0	0.0	0.0	nan	0.0	0.0
0.3436	35.0	7000	0.3307	0.0051	0.0103	0.0103	nan	0.0103	0.0103
0.3563	36.0	7200	0.3274	0.0109	0.0218	0.0218	nan	0.0218	0.0218
0.3238	37.0	7400	0.3198	0.0790	0.1581	0.1581	nan	0.1581	0.1581
0.3264	38.0	7600	0.3559	0.0124	0.0247	0.0247	nan	0.0247	0.0247
0.2876	39.0	7800	0.3287	0.0381	0.0763	0.0763	nan	0.0763	0.0763
0.3015	40.0	8000	0.3155	0.0277	0.0554	0.0554	nan	0.0554	0.0554
0.3091	41.0	8200	0.3529	0.0132	0.0263	0.0263	nan	0.0263	0.0263
0.2939	42.0	8400	0.3105	0.1305	0.2609	0.2609	nan	0.2609	0.2609
0.2852	43.0	8600	0.3335	0.0190	0.0380	0.0380	nan	0.0380	0.0380
0.2775	44.0	8800	0.3325	0.0381	0.0762	0.0762	nan	0.0762	0.0762
0.273	45.0	9000	0.3285	0.0835	0.1669	0.1669	nan	0.1669	0.1669
0.271	46.0	9200	0.3186	0.0519	0.1039	0.1039	nan	0.1039	0.1039
0.3177	47.0	9400	0.3264	0.0378	0.0756	0.0756	nan	0.0756	0.0756
0.2561	48.0	9600	0.2901	0.0987	0.1974	0.1974	nan	0.1974	0.1974
0.2707	49.0	9800	0.3176	0.0903	0.1807	0.1807	nan	0.1807	0.1807
0.2658	50.0	10000	0.3148	0.0465	0.0930	0.0930	nan	0.0930	0.0930
0.2433	51.0	10200	0.3042	0.0735	0.1470	0.1470	nan	0.1470	0.1470
0.2489	52.0	10400	0.2871	0.1168	0.2336	0.2336	nan	0.2336	0.2336
0.2542	53.0	10600	0.2724	0.1409	0.2819	0.2819	nan	0.2819	0.2819
0.2683	54.0	10800	0.2767	0.1094	0.2189	0.2189	nan	0.2189	0.2189
0.2473	55.0	11000	0.2957	0.1457	0.2915	0.2915	nan	0.2915	0.2915
0.2296	56.0	11200	0.3183	0.0671	0.1343	0.1343	nan	0.1343	0.1343
0.2359	57.0	11400	0.3185	0.0603	0.1206	0.1206	nan	0.1206	0.1206
0.2609	58.0	11600	0.3024	0.1323	0.2645	0.2645	nan	0.2645	0.2645
0.2577	59.0	11800	0.3330	0.0746	0.1492	0.1492	nan	0.1492	0.1492
0.2296	60.0	12000	0.3051	0.1009	0.2017	0.2017	nan	0.2017	0.2017
0.2389	61.0	12200	0.3493	0.0740	0.1479	0.1479	nan	0.1479	0.1479
0.2307	62.0	12400	0.2955	0.2280	0.4560	0.4560	nan	0.4560	0.4560
0.2364	63.0	12600	0.3018	0.1304	0.2607	0.2607	nan	0.2607	0.2607
0.2362	64.0	12800	0.3658	0.0673	0.1346	0.1346	nan	0.1346	0.1346
0.2198	65.0	13000	0.3355	0.0798	0.1595	0.1595	nan	0.1595	0.1595
0.2368	66.0	13200	0.2951	0.1379	0.2758	0.2758	nan	0.2758	0.2758
0.2094	67.0	13400	0.3200	0.0869	0.1739	0.1739	nan	0.1739	0.1739
0.2189	68.0	13600	0.3350	0.0969	0.1938	0.1938	nan	0.1938	0.1938
0.206	69.0	13800	0.3307	0.1245	0.2489	0.2489	nan	0.2489	0.2489
0.2194	70.0	14000	0.3538	0.0615	0.1231	0.1231	nan	0.1231	0.1231
0.2043	71.0	14200	0.3206	0.0994	0.1988	0.1988	nan	0.1988	0.1988
0.2004	72.0	14400	0.3028	0.1384	0.2768	0.2768	nan	0.2768	0.2768
0.2097	73.0	14600	0.3521	0.1193	0.2386	0.2386	nan	0.2386	0.2386
0.1835	74.0	14800	0.3546	0.1214	0.2428	0.2428	nan	0.2428	0.2428
0.205	75.0	15000	0.3291	0.0999	0.1999	0.1999	nan	0.1999	0.1999
0.1994	76.0	15200	0.3340	0.0769	0.1537	0.1537	nan	0.1537	0.1537
0.1973	77.0	15400	0.3124	0.1802	0.3604	0.3604	nan	0.3604	0.3604
0.1942	78.0	15600	0.3522	0.0889	0.1777	0.1777	nan	0.1777	0.1777
0.1753	79.0	15800	0.3308	0.1629	0.3257	0.3257	nan	0.3257	0.3257
0.1862	80.0	16000	0.3474	0.1013	0.2026	0.2026	nan	0.2026	0.2026
0.2032	81.0	16200	0.3042	0.1799	0.3599	0.3599	nan	0.3599	0.3599
0.1746	82.0	16400	0.3452	0.1168	0.2336	0.2336	nan	0.2336	0.2336
0.2017	83.0	16600	0.3392	0.1316	0.2632	0.2632	nan	0.2632	0.2632
0.1723	84.0	16800	0.3105	0.2185	0.4370	0.4370	nan	0.4370	0.4370
0.1756	85.0	17000	0.3224	0.1250	0.2501	0.2501	nan	0.2501	0.2501
0.165	86.0	17200	0.3527	0.1024	0.2047	0.2047	nan	0.2047	0.2047
0.1642	87.0	17400	0.3347	0.1254	0.2508	0.2508	nan	0.2508	0.2508
0.1801	88.0	17600	0.3297	0.1228	0.2456	0.2456	nan	0.2456	0.2456
0.166	89.0	17800	0.2994	0.2059	0.4119	0.4119	nan	0.4119	0.4119
0.1854	90.0	18000	0.3618	0.1591	0.3182	0.3182	nan	0.3182	0.3182
0.1645	91.0	18200	0.3185	0.1681	0.3362	0.3362	nan	0.3362	0.3362
0.1594	92.0	18400	0.2970	0.1969	0.3939	0.3939	nan	0.3939	0.3939
0.1585	93.0	18600	0.3421	0.1637	0.3275	0.3275	nan	0.3275	0.3275
0.157	94.0	18800	0.3398	0.2062	0.4124	0.4124	nan	0.4124	0.4124
0.1504	95.0	19000	0.3301	0.1930	0.3860	0.3860	nan	0.3860	0.3860
0.1723	96.0	19200	0.4179	0.0796	0.1592	0.1592	nan	0.1592	0.1592
0.1498	97.0	19400	0.3558	0.1449	0.2898	0.2898	nan	0.2898	0.2898
0.1434	98.0	19600	0.3500	0.1437	0.2874	0.2874	nan	0.2874	0.2874
0.1482	99.0	19800	0.3889	0.1434	0.2869	0.2869	nan	0.2869	0.2869
0.1611	100.0	20000	0.3552	0.1443	0.2885	0.2885	nan	0.2885	0.2885
0.1458	101.0	20200	0.3581	0.1546	0.3093	0.3093	nan	0.3093	0.3093
0.1715	102.0	20400	0.2979	0.2220	0.4440	0.4440	nan	0.4440	0.4440
0.1448	103.0	20600	0.3976	0.1216	0.2433	0.2433	nan	0.2433	0.2433
0.1618	104.0	20800	0.3676	0.1308	0.2616	0.2616	nan	0.2616	0.2616
0.1505	105.0	21000	0.3864	0.1239	0.2478	0.2478	nan	0.2478	0.2478
0.1429	106.0	21200	0.3338	0.1486	0.2972	0.2972	nan	0.2972	0.2972
0.1603	107.0	21400	0.3180	0.1818	0.3635	0.3635	nan	0.3635	0.3635
0.1315	108.0	21600	0.3249	0.1929	0.3858	0.3858	nan	0.3858	0.3858
0.1529	109.0	21800	0.3415	0.1390	0.2781	0.2781	nan	0.2781	0.2781
0.1411	110.0	22000	0.3496	0.1615	0.3231	0.3231	nan	0.3231	0.3231
0.1436	111.0	22200	0.3561	0.1728	0.3457	0.3457	nan	0.3457	0.3457
0.1435	112.0	22400	0.3210	0.2288	0.4576	0.4576	nan	0.4576	0.4576
0.1399	113.0	22600	0.3329	0.2105	0.4211	0.4211	nan	0.4211	0.4211
0.1502	114.0	22800	0.3317	0.2070	0.4140	0.4140	nan	0.4140	0.4140
0.1278	115.0	23000	0.3524	0.1437	0.2873	0.2873	nan	0.2873	0.2873
0.1404	116.0	23200	0.4152	0.1668	0.3337	0.3337	nan	0.3337	0.3337
0.1509	117.0	23400	0.3999	0.1182	0.2365	0.2365	nan	0.2365	0.2365
0.1318	118.0	23600	0.3659	0.1791	0.3583	0.3583	nan	0.3583	0.3583
0.1415	119.0	23800	0.3563	0.1570	0.3139	0.3139	nan	0.3139	0.3139
0.1314	120.0	24000	0.3923	0.1296	0.2593	0.2593	nan	0.2593	0.2593
0.1352	121.0	24200	0.3806	0.1428	0.2856	0.2856	nan	0.2856	0.2856
0.1246	122.0	24400	0.3655	0.1824	0.3648	0.3648	nan	0.3648	0.3648
0.1304	123.0	24600	0.3684	0.1489	0.2977	0.2977	nan	0.2977	0.2977
0.1336	124.0	24800	0.3557	0.1777	0.3554	0.3554	nan	0.3554	0.3554
0.1298	125.0	25000	0.3803	0.1568	0.3137	0.3137	nan	0.3137	0.3137
0.1415	126.0	25200	0.3505	0.2155	0.4310	0.4310	nan	0.4310	0.4310
0.1379	127.0	25400	0.3882	0.1559	0.3117	0.3117	nan	0.3117	0.3117
0.1404	128.0	25600	0.4062	0.1630	0.3261	0.3261	nan	0.3261	0.3261
0.1139	129.0	25800	0.3952	0.1484	0.2968	0.2968	nan	0.2968	0.2968
0.1248	130.0	26000	0.4175	0.1519	0.3037	0.3037	nan	0.3037	0.3037
0.1327	131.0	26200	0.4188	0.1596	0.3193	0.3193	nan	0.3193	0.3193
0.1196	132.0	26400	0.3954	0.1555	0.3110	0.3110	nan	0.3110	0.3110
0.1368	133.0	26600	0.3569	0.1999	0.3998	0.3998	nan	0.3998	0.3998
0.1082	134.0	26800	0.4083	0.1299	0.2597	0.2597	nan	0.2597	0.2597
0.1208	135.0	27000	0.3600	0.1744	0.3487	0.3487	nan	0.3487	0.3487
0.1291	136.0	27200	0.3654	0.1714	0.3428	0.3428	nan	0.3428	0.3428
0.1187	137.0	27400	0.3945	0.1727	0.3453	0.3453	nan	0.3453	0.3453
0.1109	138.0	27600	0.4242	0.1790	0.3579	0.3579	nan	0.3579	0.3579
0.124	139.0	27800	0.3865	0.1699	0.3399	0.3399	nan	0.3399	0.3399
0.106	140.0	28000	0.3950	0.1897	0.3793	0.3793	nan	0.3793	0.3793
0.1208	141.0	28200	0.4181	0.1561	0.3122	0.3122	nan	0.3122	0.3122
0.1199	142.0	28400	0.3747	0.1872	0.3745	0.3745	nan	0.3745	0.3745
0.1181	143.0	28600	0.4158	0.1831	0.3662	0.3662	nan	0.3662	0.3662
0.1192	144.0	28800	0.4764	0.1040	0.2080	0.2080	nan	0.2080	0.2080
0.1388	145.0	29000	0.3644	0.1885	0.3770	0.3770	nan	0.3770	0.3770
0.1163	146.0	29200	0.4045	0.1505	0.3010	0.3010	nan	0.3010	0.3010
0.1062	147.0	29400	0.4440	0.1596	0.3192	0.3192	nan	0.3192	0.3192
0.1056	148.0	29600	0.3610	0.2258	0.4515	0.4515	nan	0.4515	0.4515
0.1031	149.0	29800	0.4054	0.1790	0.3580	0.3580	nan	0.3580	0.3580
0.1067	150.0	30000	0.4192	0.1701	0.3402	0.3402	nan	0.3402	0.3402
0.1073	151.0	30200	0.4244	0.1607	0.3214	0.3214	nan	0.3214	0.3214
0.1012	152.0	30400	0.3834	0.1776	0.3553	0.3553	nan	0.3553	0.3553
0.1401	153.0	30600	0.3860	0.1813	0.3625	0.3625	nan	0.3625	0.3625
0.0952	154.0	30800	0.3846	0.1776	0.3553	0.3553	nan	0.3553	0.3553
0.107	155.0	31000	0.4437	0.1360	0.2720	0.2720	nan	0.2720	0.2720
0.0928	156.0	31200	0.4810	0.1399	0.2799	0.2799	nan	0.2799	0.2799
0.1014	157.0	31400	0.4275	0.1579	0.3158	0.3158	nan	0.3158	0.3158
0.1048	158.0	31600	0.4289	0.1580	0.3160	0.3160	nan	0.3160	0.3160
0.1069	159.0	31800	0.4172	0.1793	0.3585	0.3585	nan	0.3585	0.3585
0.0905	160.0	32000	0.4604	0.1479	0.2958	0.2958	nan	0.2958	0.2958
0.1061	161.0	32200	0.4001	0.1837	0.3674	0.3674	nan	0.3674	0.3674
0.1098	162.0	32400	0.3794	0.1994	0.3987	0.3987	nan	0.3987	0.3987
0.1064	163.0	32600	0.4152	0.1815	0.3629	0.3629	nan	0.3629	0.3629
0.0907	164.0	32800	0.4278	0.1724	0.3447	0.3447	nan	0.3447	0.3447
0.0982	165.0	33000	0.3928	0.1833	0.3666	0.3666	nan	0.3666	0.3666
0.1118	166.0	33200	0.3973	0.1823	0.3647	0.3647	nan	0.3647	0.3647
0.0851	167.0	33400	0.4348	0.1362	0.2724	0.2724	nan	0.2724	0.2724
0.0969	168.0	33600	0.4289	0.1469	0.2938	0.2938	nan	0.2938	0.2938
0.0846	169.0	33800	0.4067	0.1943	0.3887	0.3887	nan	0.3887	0.3887
0.104	170.0	34000	0.4138	0.2032	0.4064	0.4064	nan	0.4064	0.4064
0.0953	171.0	34200	0.4546	0.1566	0.3131	0.3131	nan	0.3131	0.3131
0.0904	172.0	34400	0.4305	0.1682	0.3364	0.3364	nan	0.3364	0.3364
0.1049	173.0	34600	0.4279	0.1909	0.3817	0.3817	nan	0.3817	0.3817
0.0896	174.0	34800	0.4234	0.1818	0.3635	0.3635	nan	0.3635	0.3635
0.0844	175.0	35000	0.3966	0.1820	0.3640	0.3640	nan	0.3640	0.3640
0.0924	176.0	35200	0.4198	0.1936	0.3871	0.3871	nan	0.3871	0.3871
0.0915	177.0	35400	0.4725	0.1273	0.2545	0.2545	nan	0.2545	0.2545
0.0809	178.0	35600	0.4902	0.1346	0.2693	0.2693	nan	0.2693	0.2693
0.0826	179.0	35800	0.4810	0.1375	0.2750	0.2750	nan	0.2750	0.2750
0.0946	180.0	36000	0.4850	0.1579	0.3157	0.3157	nan	0.3157	0.3157
0.0998	181.0	36200	0.4144	0.1757	0.3514	0.3514	nan	0.3514	0.3514
0.0853	182.0	36400	0.4106	0.1865	0.3730	0.3730	nan	0.3730	0.3730
0.0929	183.0	36600	0.4150	0.1760	0.3520	0.3520	nan	0.3520	0.3520
0.0841	184.0	36800	0.4080	0.1833	0.3667	0.3667	nan	0.3667	0.3667
0.0968	185.0	37000	0.4380	0.1606	0.3213	0.3213	nan	0.3213	0.3213
0.0969	186.0	37200	0.4411	0.1477	0.2955	0.2955	nan	0.2955	0.2955
0.0766	187.0	37400	0.4158	0.1885	0.3770	0.3770	nan	0.3770	0.3770
0.0942	188.0	37600	0.4429	0.1632	0.3265	0.3265	nan	0.3265	0.3265
0.088	189.0	37800	0.4197	0.2039	0.4078	0.4078	nan	0.4078	0.4078
0.1127	190.0	38000	0.4447	0.1986	0.3972	0.3972	nan	0.3972	0.3972
0.0877	191.0	38200	0.4299	0.1790	0.3579	0.3579	nan	0.3579	0.3579
0.0822	192.0	38400	0.4455	0.1606	0.3211	0.3211	nan	0.3211	0.3211
0.0878	193.0	38600	0.4550	0.1531	0.3061	0.3061	nan	0.3061	0.3061
0.0778	194.0	38800	0.4967	0.1439	0.2879	0.2879	nan	0.2879	0.2879
0.0791	195.0	39000	0.4543	0.1784	0.3568	0.3568	nan	0.3568	0.3568
0.091	196.0	39200	0.4568	0.1772	0.3544	0.3544	nan	0.3544	0.3544
0.0773	197.0	39400	0.4261	0.1766	0.3531	0.3531	nan	0.3531	0.3531
0.0888	198.0	39600	0.4710	0.1770	0.3540	0.3540	nan	0.3540	0.3540
0.0864	199.0	39800	0.4497	0.1718	0.3436	0.3436	nan	0.3436	0.3436
0.0749	200.0	40000	0.4302	0.1758	0.3515	0.3515	nan	0.3515	0.3515
0.0849	201.0	40200	0.4738	0.1593	0.3187	0.3187	nan	0.3187	0.3187
0.0727	202.0	40400	0.5169	0.1392	0.2784	0.2784	nan	0.2784	0.2784
0.076	203.0	40600	0.4296	0.1833	0.3667	0.3667	nan	0.3667	0.3667
0.0832	204.0	40800	0.4600	0.1804	0.3608	0.3608	nan	0.3608	0.3608
0.1003	205.0	41000	0.4732	0.1383	0.2767	0.2767	nan	0.2767	0.2767
0.0765	206.0	41200	0.4839	0.1625	0.3250	0.3250	nan	0.3250	0.3250
0.0983	207.0	41400	0.4489	0.1958	0.3916	0.3916	nan	0.3916	0.3916
0.0854	208.0	41600	0.4425	0.1763	0.3526	0.3526	nan	0.3526	0.3526
0.0742	209.0	41800	0.4470	0.1555	0.3110	0.3110	nan	0.3110	0.3110
0.0743	210.0	42000	0.5047	0.1411	0.2821	0.2821	nan	0.2821	0.2821
0.0764	211.0	42200	0.4252	0.2074	0.4149	0.4149	nan	0.4149	0.4149
0.0779	212.0	42400	0.4772	0.1463	0.2927	0.2927	nan	0.2927	0.2927
0.092	213.0	42600	0.4905	0.1428	0.2856	0.2856	nan	0.2856	0.2856
0.0756	214.0	42800	0.4657	0.1668	0.3336	0.3336	nan	0.3336	0.3336
0.0896	215.0	43000	0.4542	0.1620	0.3240	0.3240	nan	0.3240	0.3240
0.0709	216.0	43200	0.4828	0.1585	0.3170	0.3170	nan	0.3170	0.3170
0.0841	217.0	43400	0.4861	0.1549	0.3099	0.3099	nan	0.3099	0.3099
0.0905	218.0	43600	0.5044	0.1656	0.3313	0.3313	nan	0.3313	0.3313
0.0824	219.0	43800	0.4952	0.1415	0.2829	0.2829	nan	0.2829	0.2829
0.0763	220.0	44000	0.4828	0.1473	0.2946	0.2946	nan	0.2946	0.2946
0.069	221.0	44200	0.5279	0.1378	0.2756	0.2756	nan	0.2756	0.2756
0.0754	222.0	44400	0.4968	0.1639	0.3277	0.3277	nan	0.3277	0.3277
0.0698	223.0	44600	0.4330	0.1791	0.3582	0.3582	nan	0.3582	0.3582
0.0782	224.0	44800	0.4973	0.1476	0.2952	0.2952	nan	0.2952	0.2952
0.0837	225.0	45000	0.4926	0.1830	0.3660	0.3660	nan	0.3660	0.3660
0.0784	226.0	45200	0.4883	0.1751	0.3502	0.3502	nan	0.3502	0.3502
0.0715	227.0	45400	0.5459	0.1419	0.2838	0.2838	nan	0.2838	0.2838
0.0739	228.0	45600	0.5471	0.1509	0.3018	0.3018	nan	0.3018	0.3018
0.0722	229.0	45800	0.4645	0.1761	0.3522	0.3522	nan	0.3522	0.3522
0.0777	230.0	46000	0.4787	0.1775	0.3550	0.3550	nan	0.3550	0.3550
0.0804	231.0	46200	0.4783	0.1717	0.3435	0.3435	nan	0.3435	0.3435
0.0762	232.0	46400	0.4301	0.1811	0.3623	0.3623	nan	0.3623	0.3623
0.07	233.0	46600	0.4978	0.1657	0.3315	0.3315	nan	0.3315	0.3315
0.0656	234.0	46800	0.4942	0.1628	0.3256	0.3256	nan	0.3256	0.3256
0.0653	235.0	47000	0.4773	0.1633	0.3267	0.3267	nan	0.3267	0.3267
0.0719	236.0	47200	0.4606	0.1863	0.3726	0.3726	nan	0.3726	0.3726
0.0813	237.0	47400	0.4666	0.1713	0.3427	0.3427	nan	0.3427	0.3427
0.074	238.0	47600	0.4619	0.1870	0.3740	0.3740	nan	0.3740	0.3740
0.0657	239.0	47800	0.4785	0.1580	0.3160	0.3160	nan	0.3160	0.3160
0.0699	240.0	48000	0.4868	0.1625	0.3250	0.3250	nan	0.3250	0.3250
0.07	241.0	48200	0.4609	0.1768	0.3535	0.3535	nan	0.3535	0.3535
0.0657	242.0	48400	0.4922	0.1744	0.3489	0.3489	nan	0.3489	0.3489
0.0701	243.0	48600	0.5228	0.1563	0.3126	0.3126	nan	0.3126	0.3126
0.0713	244.0	48800	0.4929	0.1558	0.3116	0.3116	nan	0.3116	0.3116
0.0722	245.0	49000	0.4586	0.1810	0.3620	0.3620	nan	0.3620	0.3620
0.0627	246.0	49200	0.4928	0.1552	0.3103	0.3103	nan	0.3103	0.3103
0.0688	247.0	49400	0.5193	0.1531	0.3063	0.3063	nan	0.3063	0.3063
0.0671	248.0	49600	0.4756	0.1916	0.3832	0.3832	nan	0.3832	0.3832
0.0583	249.0	49800	0.5171	0.1532	0.3064	0.3064	nan	0.3064	0.3064
0.0702	250.0	50000	0.4813	0.1711	0.3421	0.3421	nan	0.3421	0.3421
0.0723	251.0	50200	0.4808	0.1623	0.3246	0.3246	nan	0.3246	0.3246
0.0556	252.0	50400	0.4696	0.1831	0.3663	0.3663	nan	0.3663	0.3663
0.0673	253.0	50600	0.4599	0.1897	0.3793	0.3793	nan	0.3793	0.3793
0.0696	254.0	50800	0.4847	0.1684	0.3367	0.3367	nan	0.3367	0.3367
0.0624	255.0	51000	0.5151	0.1586	0.3172	0.3172	nan	0.3172	0.3172
0.0697	256.0	51200	0.5099	0.1585	0.3169	0.3169	nan	0.3169	0.3169
0.0613	257.0	51400	0.4962	0.1693	0.3385	0.3385	nan	0.3385	0.3385
0.0641	258.0	51600	0.5652	0.1417	0.2834	0.2834	nan	0.2834	0.2834
0.0648	259.0	51800	0.5027	0.1554	0.3108	0.3108	nan	0.3108	0.3108
0.0617	260.0	52000	0.4845	0.1856	0.3712	0.3712	nan	0.3712	0.3712
0.0662	261.0	52200	0.4792	0.1738	0.3477	0.3477	nan	0.3477	0.3477
0.0701	262.0	52400	0.5169	0.1763	0.3526	0.3526	nan	0.3526	0.3526
0.0718	263.0	52600	0.4892	0.1725	0.3449	0.3449	nan	0.3449	0.3449
0.0681	264.0	52800	0.4890	0.1795	0.3589	0.3589	nan	0.3589	0.3589
0.0663	265.0	53000	0.5337	0.1511	0.3023	0.3023	nan	0.3023	0.3023
0.0732	266.0	53200	0.5129	0.1678	0.3355	0.3355	nan	0.3355	0.3355
0.0667	267.0	53400	0.5392	0.1557	0.3113	0.3113	nan	0.3113	0.3113
0.0655	268.0	53600	0.5116	0.1395	0.2789	0.2789	nan	0.2789	0.2789
0.0712	269.0	53800	0.4868	0.1745	0.3491	0.3491	nan	0.3491	0.3491
0.0613	270.0	54000	0.5079	0.1602	0.3204	0.3204	nan	0.3204	0.3204
0.0638	271.0	54200	0.5035	0.1608	0.3216	0.3216	nan	0.3216	0.3216
0.07	272.0	54400	0.4959	0.1649	0.3298	0.3298	nan	0.3298	0.3298
0.0605	273.0	54600	0.5098	0.1634	0.3269	0.3269	nan	0.3269	0.3269
0.0766	274.0	54800	0.4912	0.1731	0.3463	0.3463	nan	0.3463	0.3463
0.0703	275.0	55000	0.4843	0.1601	0.3201	0.3201	nan	0.3201	0.3201
0.0581	276.0	55200	0.4665	0.1640	0.3280	0.3280	nan	0.3280	0.3280
0.0699	277.0	55400	0.4574	0.1776	0.3552	0.3552	nan	0.3552	0.3552
0.058	278.0	55600	0.4847	0.1756	0.3511	0.3511	nan	0.3511	0.3511
0.0686	279.0	55800	0.5274	0.1528	0.3055	0.3055	nan	0.3055	0.3055
0.0576	280.0	56000	0.4540	0.1798	0.3596	0.3596	nan	0.3596	0.3596
0.0559	281.0	56200	0.5078	0.1677	0.3354	0.3354	nan	0.3354	0.3354
0.0604	282.0	56400	0.4987	0.1665	0.3330	0.3330	nan	0.3330	0.3330
0.0639	283.0	56600	0.4881	0.1606	0.3213	0.3213	nan	0.3213	0.3213
0.0645	284.0	56800	0.4821	0.1753	0.3506	0.3506	nan	0.3506	0.3506
0.06	285.0	57000	0.5155	0.1660	0.3320	0.3320	nan	0.3320	0.3320
0.065	286.0	57200	0.4960	0.1695	0.3390	0.3390	nan	0.3390	0.3390
0.0606	287.0	57400	0.4813	0.1741	0.3481	0.3481	nan	0.3481	0.3481
0.0628	288.0	57600	0.5220	0.1678	0.3356	0.3356	nan	0.3356	0.3356
0.0607	289.0	57800	0.4892	0.1788	0.3577	0.3577	nan	0.3577	0.3577
0.0585	290.0	58000	0.5029	0.1613	0.3227	0.3227	nan	0.3227	0.3227
0.0532	291.0	58200	0.4909	0.1689	0.3378	0.3378	nan	0.3378	0.3378
0.0575	292.0	58400	0.4877	0.1649	0.3299	0.3299	nan	0.3299	0.3299
0.0573	293.0	58600	0.5360	0.1580	0.3161	0.3161	nan	0.3161	0.3161
0.0602	294.0	58800	0.5095	0.1615	0.3230	0.3230	nan	0.3230	0.3230
0.0646	295.0	59000	0.5142	0.1614	0.3228	0.3228	nan	0.3228	0.3228
0.0583	296.0	59200	0.4907	0.1635	0.3270	0.3270	nan	0.3270	0.3270
0.0595	297.0	59400	0.5081	0.1619	0.3238	0.3238	nan	0.3238	0.3238
0.0664	298.0	59600	0.5236	0.1608	0.3217	0.3217	nan	0.3217	0.3217
0.0675	299.0	59800	0.5317	0.1611	0.3222	0.3222	nan	0.3222	0.3222
0.0619	300.0	60000	0.4916	0.1667	0.3335	0.3335	nan	0.3335	0.3335

Framework versions

Transformers 4.53.0.dev0
Pytorch 2.6.0+cu124
Datasets 3.6.0
Tokenizers 0.21.1

fuji12345/segformer-finetuned-e300

segformer-finetuned-e300

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

fuji12345/
segformer-finetuned-e300