BERT-legal-de-cased_German_legal_SQuAD_complete_augmented_1000

This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:

• Loss: 1.1600

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: 2e-05
• train_batch_size: 160
• eval_batch_size: 40
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 1000

Training results

Training Loss	Epoch	Step	Validation Loss
No log	1.0	3	6.1752
No log	2.0	6	6.1146
No log	3.0	9	5.8901
No log	4.0	12	5.3028
No log	5.0	15	5.0863
No log	6.0	18	4.8398
No log	7.0	21	4.4538
No log	8.0	24	4.1643
No log	9.0	27	3.8821
No log	10.0	30	3.6216
No log	11.0	33	3.4340
No log	12.0	36	3.2298
No log	13.0	39	3.0750
No log	14.0	42	2.8867
No log	15.0	45	2.7875
No log	16.0	48	2.5514
No log	17.0	51	2.4518
No log	18.0	54	2.2493
No log	19.0	57	2.0794
No log	20.0	60	1.8981
No log	21.0	63	1.8614
No log	22.0	66	1.7441
No log	23.0	69	1.6065
No log	24.0	72	1.5296
No log	25.0	75	1.5572
No log	26.0	78	1.4401
No log	27.0	81	1.3276
No log	28.0	84	1.3633
No log	29.0	87	1.2225
No log	30.0	90	1.2607
No log	31.0	93	1.1516
No log	32.0	96	1.2525
No log	33.0	99	1.1443
No log	34.0	102	1.1354
No log	35.0	105	1.0874
No log	36.0	108	1.1082
No log	37.0	111	1.1246
No log	38.0	114	1.1312
No log	39.0	117	1.1299
No log	40.0	120	1.1296
No log	41.0	123	1.1143
No log	42.0	126	1.0854
No log	43.0	129	1.1014
No log	44.0	132	1.1216
No log	45.0	135	1.1183
No log	46.0	138	1.0850
No log	47.0	141	1.0993
No log	48.0	144	1.1409
No log	49.0	147	1.1379
No log	50.0	150	1.1133
No log	51.0	153	1.1529
No log	52.0	156	1.1857
No log	53.0	159	1.0359
No log	54.0	162	1.1451
No log	55.0	165	1.0874
No log	56.0	168	1.1329
No log	57.0	171	1.1587
No log	58.0	174	1.0530
No log	59.0	177	1.1212
No log	60.0	180	1.0280
No log	61.0	183	1.0701
No log	62.0	186	1.0940
No log	63.0	189	1.0783
No log	64.0	192	1.0574
No log	65.0	195	1.0820
No log	66.0	198	1.0822
No log	67.0	201	1.1175
No log	68.0	204	1.1273
No log	69.0	207	1.1117
No log	70.0	210	1.1049
No log	71.0	213	1.0880
No log	72.0	216	1.1158
No log	73.0	219	1.0536
No log	74.0	222	1.0289
No log	75.0	225	1.1054
No log	76.0	228	1.0472
No log	77.0	231	1.1220
No log	78.0	234	1.0810
No log	79.0	237	1.0536
No log	80.0	240	1.1641
No log	81.0	243	1.0901
No log	82.0	246	1.0242
No log	83.0	249	0.9935
No log	84.0	252	0.9931
No log	85.0	255	1.0760
No log	86.0	258	1.0694
No log	87.0	261	1.1394
No log	88.0	264	1.1996
No log	89.0	267	1.1215
No log	90.0	270	1.1611
No log	91.0	273	1.0759
No log	92.0	276	1.1346
No log	93.0	279	1.1451
No log	94.0	282	1.1722
No log	95.0	285	1.1364
No log	96.0	288	1.0341
No log	97.0	291	1.0232
No log	98.0	294	1.1677
No log	99.0	297	1.0625
No log	100.0	300	1.0533
No log	101.0	303	1.1671
No log	102.0	306	1.0967
No log	103.0	309	1.0913
No log	104.0	312	1.0786
No log	105.0	315	1.0990
No log	106.0	318	1.1872
No log	107.0	321	1.1575
No log	108.0	324	1.1343
No log	109.0	327	1.0306
No log	110.0	330	1.0278
No log	111.0	333	1.0500
No log	112.0	336	1.0435
No log	113.0	339	1.1129
No log	114.0	342	1.0777
No log	115.0	345	1.0698
No log	116.0	348	1.0409
No log	117.0	351	0.9843
No log	118.0	354	0.9880
No log	119.0	357	1.0717
No log	120.0	360	1.1077
No log	121.0	363	1.1134
No log	122.0	366	1.0342
No log	123.0	369	1.1087
No log	124.0	372	1.0502
No log	125.0	375	1.0505
No log	126.0	378	1.1069
No log	127.0	381	1.0467
No log	128.0	384	1.0145
No log	129.0	387	1.1209
No log	130.0	390	1.0661
No log	131.0	393	1.0306
No log	132.0	396	1.0076
No log	133.0	399	1.0762
No log	134.0	402	1.1182
No log	135.0	405	1.0457
No log	136.0	408	1.0727
No log	137.0	411	1.0909
No log	138.0	414	1.0929
No log	139.0	417	1.1412
No log	140.0	420	1.0965
No log	141.0	423	1.0670
No log	142.0	426	1.0183
No log	143.0	429	0.9696
No log	144.0	432	1.0955
No log	145.0	435	1.1587
No log	146.0	438	1.0420
No log	147.0	441	0.9896
No log	148.0	444	1.0154
No log	149.0	447	1.1008
No log	150.0	450	1.0715
No log	151.0	453	1.0553
No log	152.0	456	1.0651
No log	153.0	459	1.1659
No log	154.0	462	1.1516
No log	155.0	465	1.0335
No log	156.0	468	0.9600
No log	157.0	471	1.0142
No log	158.0	474	1.1098
No log	159.0	477	1.1077
No log	160.0	480	1.0968
No log	161.0	483	1.0837
No log	162.0	486	1.0558
No log	163.0	489	1.0540
No log	164.0	492	0.9652
No log	165.0	495	0.9818
No log	166.0	498	1.1443
1.1926	167.0	501	1.1493
1.1926	168.0	504	1.0237
1.1926	169.0	507	1.0246
1.1926	170.0	510	1.2308
1.1926	171.0	513	1.1715
1.1926	172.0	516	1.0767
1.1926	173.0	519	1.1138
1.1926	174.0	522	1.2024
1.1926	175.0	525	1.1389
1.1926	176.0	528	1.0688
1.1926	177.0	531	1.0127
1.1926	178.0	534	1.0381
1.1926	179.0	537	1.1741
1.1926	180.0	540	1.1912
1.1926	181.0	543	1.0315
1.1926	182.0	546	0.9805
1.1926	183.0	549	0.9650
1.1926	184.0	552	0.9339
1.1926	185.0	555	0.9826
1.1926	186.0	558	1.0076
1.1926	187.0	561	1.0425
1.1926	188.0	564	1.0680
1.1926	189.0	567	1.1075
1.1926	190.0	570	1.0777
1.1926	191.0	573	1.0334
1.1926	192.0	576	1.0206
1.1926	193.0	579	1.0153
1.1926	194.0	582	1.0385
1.1926	195.0	585	1.0630
1.1926	196.0	588	1.0630
1.1926	197.0	591	1.0852
1.1926	198.0	594	1.1001
1.1926	199.0	597	1.0384
1.1926	200.0	600	1.0048
1.1926	201.0	603	1.0935
1.1926	202.0	606	1.0693
1.1926	203.0	609	1.0514
1.1926	204.0	612	1.0661
1.1926	205.0	615	1.0996
1.1926	206.0	618	1.1660
1.1926	207.0	621	1.1580
1.1926	208.0	624	1.1203
1.1926	209.0	627	1.1428
1.1926	210.0	630	1.2077
1.1926	211.0	633	1.1902
1.1926	212.0	636	1.0703
1.1926	213.0	639	1.0097
1.1926	214.0	642	1.0212
1.1926	215.0	645	1.0610
1.1926	216.0	648	1.0678
1.1926	217.0	651	1.0762
1.1926	218.0	654	1.1031
1.1926	219.0	657	1.0681
1.1926	220.0	660	1.0714
1.1926	221.0	663	1.0716
1.1926	222.0	666	1.1216
1.1926	223.0	669	1.1598
1.1926	224.0	672	1.1956
1.1926	225.0	675	1.2122
1.1926	226.0	678	1.1515
1.1926	227.0	681	1.0874
1.1926	228.0	684	1.0834
1.1926	229.0	687	1.0731
1.1926	230.0	690	1.1252
1.1926	231.0	693	1.2596
1.1926	232.0	696	1.1869
1.1926	233.0	699	1.0718
1.1926	234.0	702	1.0628
1.1926	235.0	705	1.0410
1.1926	236.0	708	1.1256
1.1926	237.0	711	1.2902
1.1926	238.0	714	1.2186
1.1926	239.0	717	1.0266
1.1926	240.0	720	0.9914
1.1926	241.0	723	1.0738
1.1926	242.0	726	1.1614
1.1926	243.0	729	1.1988
1.1926	244.0	732	1.1851
1.1926	245.0	735	1.1737
1.1926	246.0	738	1.2122
1.1926	247.0	741	1.2379
1.1926	248.0	744	1.1669
1.1926	249.0	747	1.1152
1.1926	250.0	750	1.1307
1.1926	251.0	753	1.1492
1.1926	252.0	756	1.1085
1.1926	253.0	759	1.1068
1.1926	254.0	762	1.0915
1.1926	255.0	765	1.0963
1.1926	256.0	768	1.1199
1.1926	257.0	771	1.1906
1.1926	258.0	774	1.1923
1.1926	259.0	777	1.1788
1.1926	260.0	780	1.1893
1.1926	261.0	783	1.1719
1.1926	262.0	786	1.1389
1.1926	263.0	789	1.1596
1.1926	264.0	792	1.0979
1.1926	265.0	795	1.0261
1.1926	266.0	798	0.9919
1.1926	267.0	801	1.0101
1.1926	268.0	804	1.0658
1.1926	269.0	807	1.0664
1.1926	270.0	810	1.0438
1.1926	271.0	813	1.0631
1.1926	272.0	816	1.0887
1.1926	273.0	819	1.0807
1.1926	274.0	822	1.0392
1.1926	275.0	825	1.0382
1.1926	276.0	828	1.0522
1.1926	277.0	831	1.0647
1.1926	278.0	834	1.0970
1.1926	279.0	837	1.1227
1.1926	280.0	840	1.1048
1.1926	281.0	843	1.1159
1.1926	282.0	846	1.1192
1.1926	283.0	849	1.1848
1.1926	284.0	852	1.1528
1.1926	285.0	855	1.1011
1.1926	286.0	858	1.0543
1.1926	287.0	861	1.1213
1.1926	288.0	864	1.1917
1.1926	289.0	867	1.2292
1.1926	290.0	870	1.2585
1.1926	291.0	873	1.1661
1.1926	292.0	876	1.0896
1.1926	293.0	879	1.0586
1.1926	294.0	882	1.0643
1.1926	295.0	885	1.1009
1.1926	296.0	888	1.1007
1.1926	297.0	891	1.0966
1.1926	298.0	894	1.0800
1.1926	299.0	897	1.0356
1.1926	300.0	900	1.0725
1.1926	301.0	903	1.1460
1.1926	302.0	906	1.1373
1.1926	303.0	909	1.1027
1.1926	304.0	912	1.0764
1.1926	305.0	915	1.0779
1.1926	306.0	918	1.0532
1.1926	307.0	921	1.0710
1.1926	308.0	924	1.0702
1.1926	309.0	927	1.0773
1.1926	310.0	930	1.1049
1.1926	311.0	933	1.0980
1.1926	312.0	936	1.1057
1.1926	313.0	939	1.1087
1.1926	314.0	942	1.1137
1.1926	315.0	945	1.0993
1.1926	316.0	948	1.1047
1.1926	317.0	951	1.1357
1.1926	318.0	954	1.1542
1.1926	319.0	957	1.1536
1.1926	320.0	960	1.1727
1.1926	321.0	963	1.1921
1.1926	322.0	966	1.1742
1.1926	323.0	969	1.1486
1.1926	324.0	972	1.1128
1.1926	325.0	975	1.0544
1.1926	326.0	978	1.0398
1.1926	327.0	981	1.0721
1.1926	328.0	984	1.1219
1.1926	329.0	987	1.1671
1.1926	330.0	990	1.1594
1.1926	331.0	993	1.1080
1.1926	332.0	996	1.1074
1.1926	333.0	999	1.1412
0.6006	334.0	1002	1.2369
0.6006	335.0	1005	1.2448
0.6006	336.0	1008	1.2149
0.6006	337.0	1011	1.1609
0.6006	338.0	1014	1.0890
0.6006	339.0	1017	1.0521
0.6006	340.0	1020	1.0465
0.6006	341.0	1023	1.0433
0.6006	342.0	1026	1.0271
0.6006	343.0	1029	1.0145
0.6006	344.0	1032	1.0437
0.6006	345.0	1035	1.1315
0.6006	346.0	1038	1.1204
0.6006	347.0	1041	1.0929
0.6006	348.0	1044	1.1297
0.6006	349.0	1047	1.1783
0.6006	350.0	1050	1.1820
0.6006	351.0	1053	1.1652
0.6006	352.0	1056	1.1213
0.6006	353.0	1059	1.1048
0.6006	354.0	1062	1.1175
0.6006	355.0	1065	1.1475
0.6006	356.0	1068	1.1678
0.6006	357.0	1071	1.1819
0.6006	358.0	1074	1.1639
0.6006	359.0	1077	1.1442
0.6006	360.0	1080	1.1245
0.6006	361.0	1083	1.0991
0.6006	362.0	1086	1.0896
0.6006	363.0	1089	1.0881
0.6006	364.0	1092	1.0999
0.6006	365.0	1095	1.1283
0.6006	366.0	1098	1.1320
0.6006	367.0	1101	1.1063
0.6006	368.0	1104	1.0958
0.6006	369.0	1107	1.1270
0.6006	370.0	1110	1.0810
0.6006	371.0	1113	1.0624
0.6006	372.0	1116	1.1155
0.6006	373.0	1119	1.1267
0.6006	374.0	1122	1.1289
0.6006	375.0	1125	1.1573
0.6006	376.0	1128	1.1845
0.6006	377.0	1131	1.1895
0.6006	378.0	1134	1.1713
0.6006	379.0	1137	1.1711
0.6006	380.0	1140	1.1680
0.6006	381.0	1143	1.1650
0.6006	382.0	1146	1.1480
0.6006	383.0	1149	1.1508
0.6006	384.0	1152	1.1634
0.6006	385.0	1155	1.1484
0.6006	386.0	1158	1.1173
0.6006	387.0	1161	1.1702
0.6006	388.0	1164	1.2026
0.6006	389.0	1167	1.2024
0.6006	390.0	1170	1.2160
0.6006	391.0	1173	1.2334
0.6006	392.0	1176	1.2228
0.6006	393.0	1179	1.1993
0.6006	394.0	1182	1.1568
0.6006	395.0	1185	1.1230
0.6006	396.0	1188	1.0955
0.6006	397.0	1191	1.0621
0.6006	398.0	1194	1.0703
0.6006	399.0	1197	1.1282
0.6006	400.0	1200	1.1654
0.6006	401.0	1203	1.1500
0.6006	402.0	1206	1.1184
0.6006	403.0	1209	1.1165
0.6006	404.0	1212	1.1247
0.6006	405.0	1215	1.1513
0.6006	406.0	1218	1.1340
0.6006	407.0	1221	1.1173
0.6006	408.0	1224	1.1030
0.6006	409.0	1227	1.1300
0.6006	410.0	1230	1.1400
0.6006	411.0	1233	1.0737
0.6006	412.0	1236	1.0396
0.6006	413.0	1239	1.0385
0.6006	414.0	1242	1.0632
0.6006	415.0	1245	1.0947
0.6006	416.0	1248	1.1208
0.6006	417.0	1251	1.1716
0.6006	418.0	1254	1.2130
0.6006	419.0	1257	1.1772
0.6006	420.0	1260	1.1622
0.6006	421.0	1263	1.1414
0.6006	422.0	1266	1.1305
0.6006	423.0	1269	1.1203
0.6006	424.0	1272	1.0908
0.6006	425.0	1275	1.0769
0.6006	426.0	1278	1.0802
0.6006	427.0	1281	1.1272
0.6006	428.0	1284	1.1587
0.6006	429.0	1287	1.1573
0.6006	430.0	1290	1.1408
0.6006	431.0	1293	1.1491
0.6006	432.0	1296	1.2009
0.6006	433.0	1299	1.1833
0.6006	434.0	1302	1.1256
0.6006	435.0	1305	1.1054
0.6006	436.0	1308	1.1229
0.6006	437.0	1311	1.1463
0.6006	438.0	1314	1.1561
0.6006	439.0	1317	1.1657
0.6006	440.0	1320	1.1640
0.6006	441.0	1323	1.1276
0.6006	442.0	1326	1.0897
0.6006	443.0	1329	1.0477
0.6006	444.0	1332	1.0467
0.6006	445.0	1335	1.0794
0.6006	446.0	1338	1.1237
0.6006	447.0	1341	1.1613
0.6006	448.0	1344	1.1961
0.6006	449.0	1347	1.2192
0.6006	450.0	1350	1.1904
0.6006	451.0	1353	1.1607
0.6006	452.0	1356	1.1634
0.6006	453.0	1359	1.1404
0.6006	454.0	1362	1.1124
0.6006	455.0	1365	1.0916
0.6006	456.0	1368	1.1007
0.6006	457.0	1371	1.1376
0.6006	458.0	1374	1.1596
0.6006	459.0	1377	1.1554
0.6006	460.0	1380	1.1381
0.6006	461.0	1383	1.1033
0.6006	462.0	1386	1.0921
0.6006	463.0	1389	1.1230
0.6006	464.0	1392	1.1256
0.6006	465.0	1395	1.1406
0.6006	466.0	1398	1.1799
0.6006	467.0	1401	1.1935
0.6006	468.0	1404	1.1670
0.6006	469.0	1407	1.1188
0.6006	470.0	1410	1.0625
0.6006	471.0	1413	1.0373
0.6006	472.0	1416	1.0799
0.6006	473.0	1419	1.1463
0.6006	474.0	1422	1.1526
0.6006	475.0	1425	1.1403
0.6006	476.0	1428	1.1222
0.6006	477.0	1431	1.1029
0.6006	478.0	1434	1.0535
0.6006	479.0	1437	0.9945
0.6006	480.0	1440	0.9790
0.6006	481.0	1443	1.0321
0.6006	482.0	1446	1.1696
0.6006	483.0	1449	1.2164
0.6006	484.0	1452	1.1479
0.6006	485.0	1455	1.0818
0.6006	486.0	1458	1.0822
0.6006	487.0	1461	1.1247
0.6006	488.0	1464	1.1430
0.6006	489.0	1467	1.1155
0.6006	490.0	1470	1.0694
0.6006	491.0	1473	1.0480
0.6006	492.0	1476	1.0655
0.6006	493.0	1479	1.0814
0.6006	494.0	1482	1.0746
0.6006	495.0	1485	1.0612
0.6006	496.0	1488	1.0508
0.6006	497.0	1491	1.0655
0.6006	498.0	1494	1.0715
0.6006	499.0	1497	1.0688
0.5891	500.0	1500	1.0433
0.5891	501.0	1503	1.0272
0.5891	502.0	1506	1.0960
0.5891	503.0	1509	1.1687
0.5891	504.0	1512	1.1519
0.5891	505.0	1515	1.0876
0.5891	506.0	1518	1.0865
0.5891	507.0	1521	1.0862
0.5891	508.0	1524	1.1193
0.5891	509.0	1527	1.1958
0.5891	510.0	1530	1.2270
0.5891	511.0	1533	1.2067
0.5891	512.0	1536	1.1586
0.5891	513.0	1539	1.1150
0.5891	514.0	1542	1.0913
0.5891	515.0	1545	1.0799
0.5891	516.0	1548	1.0828
0.5891	517.0	1551	1.0840
0.5891	518.0	1554	1.1017
0.5891	519.0	1557	1.0809
0.5891	520.0	1560	1.0824
0.5891	521.0	1563	1.1032
0.5891	522.0	1566	1.1498
0.5891	523.0	1569	1.2118
0.5891	524.0	1572	1.2091
0.5891	525.0	1575	1.1789
0.5891	526.0	1578	1.1363
0.5891	527.0	1581	1.1088
0.5891	528.0	1584	1.0915
0.5891	529.0	1587	1.0973
0.5891	530.0	1590	1.1398
0.5891	531.0	1593	1.1764
0.5891	532.0	1596	1.1779
0.5891	533.0	1599	1.1308
0.5891	534.0	1602	1.1113
0.5891	535.0	1605	1.1027
0.5891	536.0	1608	1.1103
0.5891	537.0	1611	1.1100
0.5891	538.0	1614	1.1116
0.5891	539.0	1617	1.1274
0.5891	540.0	1620	1.1482
0.5891	541.0	1623	1.1651
0.5891	542.0	1626	1.1523
0.5891	543.0	1629	1.1202
0.5891	544.0	1632	1.0933
0.5891	545.0	1635	1.0772
0.5891	546.0	1638	1.0815
0.5891	547.0	1641	1.0948
0.5891	548.0	1644	1.0991
0.5891	549.0	1647	1.0937
0.5891	550.0	1650	1.0976
0.5891	551.0	1653	1.1025
0.5891	552.0	1656	1.1115
0.5891	553.0	1659	1.1230
0.5891	554.0	1662	1.1140
0.5891	555.0	1665	1.1082
0.5891	556.0	1668	1.1169
0.5891	557.0	1671	1.1264
0.5891	558.0	1674	1.1343
0.5891	559.0	1677	1.1514
0.5891	560.0	1680	1.1752
0.5891	561.0	1683	1.1644
0.5891	562.0	1686	1.1436
0.5891	563.0	1689	1.1209
0.5891	564.0	1692	1.1234
0.5891	565.0	1695	1.1526
0.5891	566.0	1698	1.1944
0.5891	567.0	1701	1.1965
0.5891	568.0	1704	1.1727
0.5891	569.0	1707	1.1514
0.5891	570.0	1710	1.1450
0.5891	571.0	1713	1.1423
0.5891	572.0	1716	1.1710
0.5891	573.0	1719	1.1996
0.5891	574.0	1722	1.2158
0.5891	575.0	1725	1.2078
0.5891	576.0	1728	1.2015
0.5891	577.0	1731	1.1963
0.5891	578.0	1734	1.2021
0.5891	579.0	1737	1.1934
0.5891	580.0	1740	1.1740
0.5891	581.0	1743	1.1484
0.5891	582.0	1746	1.1295
0.5891	583.0	1749	1.1282
0.5891	584.0	1752	1.1381
0.5891	585.0	1755	1.1612
0.5891	586.0	1758	1.1800
0.5891	587.0	1761	1.1915
0.5891	588.0	1764	1.1824
0.5891	589.0	1767	1.1612
0.5891	590.0	1770	1.1534
0.5891	591.0	1773	1.1632
0.5891	592.0	1776	1.1692
0.5891	593.0	1779	1.1621
0.5891	594.0	1782	1.1424
0.5891	595.0	1785	1.1417
0.5891	596.0	1788	1.1519
0.5891	597.0	1791	1.1657
0.5891	598.0	1794	1.1733
0.5891	599.0	1797	1.1757
0.5891	600.0	1800	1.1865
0.5891	601.0	1803	1.1922
0.5891	602.0	1806	1.1923
0.5891	603.0	1809	1.1864
0.5891	604.0	1812	1.1814
0.5891	605.0	1815	1.1704
0.5891	606.0	1818	1.1503
0.5891	607.0	1821	1.1331
0.5891	608.0	1824	1.1340
0.5891	609.0	1827	1.1462
0.5891	610.0	1830	1.1524
0.5891	611.0	1833	1.1770
0.5891	612.0	1836	1.1943
0.5891	613.0	1839	1.1981
0.5891	614.0	1842	1.2047
0.5891	615.0	1845	1.1892
0.5891	616.0	1848	1.1735
0.5891	617.0	1851	1.1593
0.5891	618.0	1854	1.1553
0.5891	619.0	1857	1.1512
0.5891	620.0	1860	1.1563
0.5891	621.0	1863	1.1686
0.5891	622.0	1866	1.1958
0.5891	623.0	1869	1.2289
0.5891	624.0	1872	1.2599
0.5891	625.0	1875	1.2730
0.5891	626.0	1878	1.2517
0.5891	627.0	1881	1.2187
0.5891	628.0	1884	1.1795
0.5891	629.0	1887	1.1476
0.5891	630.0	1890	1.1250
0.5891	631.0	1893	1.1045
0.5891	632.0	1896	1.0954
0.5891	633.0	1899	1.0987
0.5891	634.0	1902	1.1282
0.5891	635.0	1905	1.1713
0.5891	636.0	1908	1.2243
0.5891	637.0	1911	1.2583
0.5891	638.0	1914	1.2605
0.5891	639.0	1917	1.2387
0.5891	640.0	1920	1.2184
0.5891	641.0	1923	1.2016
0.5891	642.0	1926	1.1973
0.5891	643.0	1929	1.2138
0.5891	644.0	1932	1.2299
0.5891	645.0	1935	1.2306
0.5891	646.0	1938	1.2267
0.5891	647.0	1941	1.2188
0.5891	648.0	1944	1.1983
0.5891	649.0	1947	1.1880
0.5891	650.0	1950	1.1862
0.5891	651.0	1953	1.1848
0.5891	652.0	1956	1.1925
0.5891	653.0	1959	1.2010
0.5891	654.0	1962	1.2076
0.5891	655.0	1965	1.2112
0.5891	656.0	1968	1.2097
0.5891	657.0	1971	1.2090
0.5891	658.0	1974	1.2072
0.5891	659.0	1977	1.2033
0.5891	660.0	1980	1.1974
0.5891	661.0	1983	1.1908
0.5891	662.0	1986	1.1831
0.5891	663.0	1989	1.1949
0.5891	664.0	1992	1.1978
0.5891	665.0	1995	1.1904
0.5891	666.0	1998	1.1735
0.5745	667.0	2001	1.1659
0.5745	668.0	2004	1.1701
0.5745	669.0	2007	1.1845
0.5745	670.0	2010	1.1986
0.5745	671.0	2013	1.2084
0.5745	672.0	2016	1.2091
0.5745	673.0	2019	1.2087
0.5745	674.0	2022	1.2068
0.5745	675.0	2025	1.2042
0.5745	676.0	2028	1.1984
0.5745	677.0	2031	1.1848
0.5745	678.0	2034	1.1850
0.5745	679.0	2037	1.1926
0.5745	680.0	2040	1.1967
0.5745	681.0	2043	1.1917
0.5745	682.0	2046	1.1853
0.5745	683.0	2049	1.1794
0.5745	684.0	2052	1.1879
0.5745	685.0	2055	1.1871
0.5745	686.0	2058	1.1894
0.5745	687.0	2061	1.2119
0.5745	688.0	2064	1.2203
0.5745	689.0	2067	1.2233
0.5745	690.0	2070	1.2312
0.5745	691.0	2073	1.2369
0.5745	692.0	2076	1.2345
0.5745	693.0	2079	1.2256
0.5745	694.0	2082	1.2136
0.5745	695.0	2085	1.1979
0.5745	696.0	2088	1.1835
0.5745	697.0	2091	1.1834
0.5745	698.0	2094	1.1820
0.5745	699.0	2097	1.1817
0.5745	700.0	2100	1.1773
0.5745	701.0	2103	1.1698
0.5745	702.0	2106	1.1648
0.5745	703.0	2109	1.1606
0.5745	704.0	2112	1.1630
0.5745	705.0	2115	1.1825
0.5745	706.0	2118	1.2078
0.5745	707.0	2121	1.2370
0.5745	708.0	2124	1.2657
0.5745	709.0	2127	1.2758
0.5745	710.0	2130	1.2606
0.5745	711.0	2133	1.2423
0.5745	712.0	2136	1.2253
0.5745	713.0	2139	1.2145
0.5745	714.0	2142	1.2019
0.5745	715.0	2145	1.1940
0.5745	716.0	2148	1.1872
0.5745	717.0	2151	1.1799
0.5745	718.0	2154	1.1751
0.5745	719.0	2157	1.1687
0.5745	720.0	2160	1.1652
0.5745	721.0	2163	1.1605
0.5745	722.0	2166	1.1640
0.5745	723.0	2169	1.1694
0.5745	724.0	2172	1.1828
0.5745	725.0	2175	1.1867
0.5745	726.0	2178	1.1908
0.5745	727.0	2181	1.1868
0.5745	728.0	2184	1.1639
0.5745	729.0	2187	1.1459
0.5745	730.0	2190	1.1373
0.5745	731.0	2193	1.1308
0.5745	732.0	2196	1.1265
0.5745	733.0	2199	1.1343
0.5745	734.0	2202	1.1425
0.5745	735.0	2205	1.1453
0.5745	736.0	2208	1.1449
0.5745	737.0	2211	1.1356
0.5745	738.0	2214	1.1241
0.5745	739.0	2217	1.1239
0.5745	740.0	2220	1.1226
0.5745	741.0	2223	1.1342
0.5745	742.0	2226	1.1425
0.5745	743.0	2229	1.1468
0.5745	744.0	2232	1.1450
0.5745	745.0	2235	1.1517
0.5745	746.0	2238	1.1967
0.5745	747.0	2241	1.2042
0.5745	748.0	2244	1.1890
0.5745	749.0	2247	1.1841
0.5745	750.0	2250	1.1834
0.5745	751.0	2253	1.1765
0.5745	752.0	2256	1.1750
0.5745	753.0	2259	1.1721
0.5745	754.0	2262	1.1804
0.5745	755.0	2265	1.1876
0.5745	756.0	2268	1.1971
0.5745	757.0	2271	1.2002
0.5745	758.0	2274	1.1969
0.5745	759.0	2277	1.1920
0.5745	760.0	2280	1.1817
0.5745	761.0	2283	1.1682
0.5745	762.0	2286	1.1444
0.5745	763.0	2289	1.1585
0.5745	764.0	2292	1.1932
0.5745	765.0	2295	1.2341
0.5745	766.0	2298	1.2785
0.5745	767.0	2301	1.3120
0.5745	768.0	2304	1.3081
0.5745	769.0	2307	1.2808
0.5745	770.0	2310	1.2613
0.5745	771.0	2313	1.2379
0.5745	772.0	2316	1.2131
0.5745	773.0	2319	1.1915
0.5745	774.0	2322	1.1715
0.5745	775.0	2325	1.1549
0.5745	776.0	2328	1.1432
0.5745	777.0	2331	1.1361
0.5745	778.0	2334	1.1352
0.5745	779.0	2337	1.1352
0.5745	780.0	2340	1.1371
0.5745	781.0	2343	1.1336
0.5745	782.0	2346	1.1281
0.5745	783.0	2349	1.1279
0.5745	784.0	2352	1.1337
0.5745	785.0	2355	1.1347
0.5745	786.0	2358	1.1341
0.5745	787.0	2361	1.1352
0.5745	788.0	2364	1.1334
0.5745	789.0	2367	1.1274
0.5745	790.0	2370	1.1216
0.5745	791.0	2373	1.1195
0.5745	792.0	2376	1.1211
0.5745	793.0	2379	1.1207
0.5745	794.0	2382	1.1224
0.5745	795.0	2385	1.1198
0.5745	796.0	2388	1.1155
0.5745	797.0	2391	1.1158
0.5745	798.0	2394	1.1180
0.5745	799.0	2397	1.1243
0.5745	800.0	2400	1.1221
0.5745	801.0	2403	1.1074
0.5745	802.0	2406	1.0945
0.5745	803.0	2409	1.0890
0.5745	804.0	2412	1.0896
0.5745	805.0	2415	1.1068
0.5745	806.0	2418	1.1238
0.5745	807.0	2421	1.1351
0.5745	808.0	2424	1.1370
0.5745	809.0	2427	1.1347
0.5745	810.0	2430	1.1353
0.5745	811.0	2433	1.1337
0.5745	812.0	2436	1.1291
0.5745	813.0	2439	1.1207
0.5745	814.0	2442	1.1121
0.5745	815.0	2445	1.1075
0.5745	816.0	2448	1.1021
0.5745	817.0	2451	1.0992
0.5745	818.0	2454	1.1027
0.5745	819.0	2457	1.1168
0.5745	820.0	2460	1.1282
0.5745	821.0	2463	1.1392
0.5745	822.0	2466	1.1479
0.5745	823.0	2469	1.1604
0.5745	824.0	2472	1.1708
0.5745	825.0	2475	1.1722
0.5745	826.0	2478	1.1708
0.5745	827.0	2481	1.1661
0.5745	828.0	2484	1.1592
0.5745	829.0	2487	1.1541
0.5745	830.0	2490	1.1515
0.5745	831.0	2493	1.1493
0.5745	832.0	2496	1.1457
0.5745	833.0	2499	1.1409
0.5686	834.0	2502	1.1388
0.5686	835.0	2505	1.1337
0.5686	836.0	2508	1.1332
0.5686	837.0	2511	1.1348
0.5686	838.0	2514	1.1304
0.5686	839.0	2517	1.1253
0.5686	840.0	2520	1.1187
0.5686	841.0	2523	1.1186
0.5686	842.0	2526	1.1283
0.5686	843.0	2529	1.1420
0.5686	844.0	2532	1.1529
0.5686	845.0	2535	1.1644
0.5686	846.0	2538	1.1782
0.5686	847.0	2541	1.1838
0.5686	848.0	2544	1.1864
0.5686	849.0	2547	1.1841
0.5686	850.0	2550	1.1773
0.5686	851.0	2553	1.1708
0.5686	852.0	2556	1.1638
0.5686	853.0	2559	1.1583
0.5686	854.0	2562	1.1543
0.5686	855.0	2565	1.1525
0.5686	856.0	2568	1.1561
0.5686	857.0	2571	1.1606
0.5686	858.0	2574	1.1654
0.5686	859.0	2577	1.1703
0.5686	860.0	2580	1.1773
0.5686	861.0	2583	1.1804
0.5686	862.0	2586	1.1789
0.5686	863.0	2589	1.1725
0.5686	864.0	2592	1.1651
0.5686	865.0	2595	1.1585
0.5686	866.0	2598	1.1564
0.5686	867.0	2601	1.1554
0.5686	868.0	2604	1.1582
0.5686	869.0	2607	1.1602
0.5686	870.0	2610	1.1616
0.5686	871.0	2613	1.1610
0.5686	872.0	2616	1.1607
0.5686	873.0	2619	1.1624
0.5686	874.0	2622	1.1618
0.5686	875.0	2625	1.1578
0.5686	876.0	2628	1.1618
0.5686	877.0	2631	1.1639
0.5686	878.0	2634	1.1661
0.5686	879.0	2637	1.1683
0.5686	880.0	2640	1.1719
0.5686	881.0	2643	1.1739
0.5686	882.0	2646	1.1749
0.5686	883.0	2649	1.1787
0.5686	884.0	2652	1.1844
0.5686	885.0	2655	1.1839
0.5686	886.0	2658	1.1795
0.5686	887.0	2661	1.1747
0.5686	888.0	2664	1.1705
0.5686	889.0	2667	1.1685
0.5686	890.0	2670	1.1645
0.5686	891.0	2673	1.1601
0.5686	892.0	2676	1.1595
0.5686	893.0	2679	1.1606
0.5686	894.0	2682	1.1642
0.5686	895.0	2685	1.1657
0.5686	896.0	2688	1.1689
0.5686	897.0	2691	1.1709
0.5686	898.0	2694	1.1724
0.5686	899.0	2697	1.1665
0.5686	900.0	2700	1.1672
0.5686	901.0	2703	1.1673
0.5686	902.0	2706	1.1669
0.5686	903.0	2709	1.1651
0.5686	904.0	2712	1.1614
0.5686	905.0	2715	1.1592
0.5686	906.0	2718	1.1578
0.5686	907.0	2721	1.1575
0.5686	908.0	2724	1.1583
0.5686	909.0	2727	1.1595
0.5686	910.0	2730	1.1602
0.5686	911.0	2733	1.1615
0.5686	912.0	2736	1.1625
0.5686	913.0	2739	1.1622
0.5686	914.0	2742	1.1607
0.5686	915.0	2745	1.1568
0.5686	916.0	2748	1.1528
0.5686	917.0	2751	1.1516
0.5686	918.0	2754	1.1512
0.5686	919.0	2757	1.1523
0.5686	920.0	2760	1.1532
0.5686	921.0	2763	1.1541
0.5686	922.0	2766	1.1544
0.5686	923.0	2769	1.1530
0.5686	924.0	2772	1.1514
0.5686	925.0	2775	1.1486
0.5686	926.0	2778	1.1484
0.5686	927.0	2781	1.1493
0.5686	928.0	2784	1.1492
0.5686	929.0	2787	1.1477
0.5686	930.0	2790	1.1463
0.5686	931.0	2793	1.1457
0.5686	932.0	2796	1.1445
0.5686	933.0	2799	1.1453
0.5686	934.0	2802	1.1471
0.5686	935.0	2805	1.1488
0.5686	936.0	2808	1.1493
0.5686	937.0	2811	1.1480
0.5686	938.0	2814	1.1466
0.5686	939.0	2817	1.1461
0.5686	940.0	2820	1.1452
0.5686	941.0	2823	1.1443
0.5686	942.0	2826	1.1443
0.5686	943.0	2829	1.1446
0.5686	944.0	2832	1.1454
0.5686	945.0	2835	1.1464
0.5686	946.0	2838	1.1496
0.5686	947.0	2841	1.1519
0.5686	948.0	2844	1.1531
0.5686	949.0	2847	1.1544
0.5686	950.0	2850	1.1534
0.5686	951.0	2853	1.1535
0.5686	952.0	2856	1.1536
0.5686	953.0	2859	1.1538
0.5686	954.0	2862	1.1547
0.5686	955.0	2865	1.1554
0.5686	956.0	2868	1.1564
0.5686	957.0	2871	1.1566
0.5686	958.0	2874	1.1560
0.5686	959.0	2877	1.1567
0.5686	960.0	2880	1.1572
0.5686	961.0	2883	1.1576
0.5686	962.0	2886	1.1581
0.5686	963.0	2889	1.1585
0.5686	964.0	2892	1.1589
0.5686	965.0	2895	1.1586
0.5686	966.0	2898	1.1581
0.5686	967.0	2901	1.1584
0.5686	968.0	2904	1.1580
0.5686	969.0	2907	1.1577
0.5686	970.0	2910	1.1571
0.5686	971.0	2913	1.1571
0.5686	972.0	2916	1.1568
0.5686	973.0	2919	1.1562
0.5686	974.0	2922	1.1554
0.5686	975.0	2925	1.1546
0.5686	976.0	2928	1.1537
0.5686	977.0	2931	1.1533
0.5686	978.0	2934	1.1542
0.5686	979.0	2937	1.1546
0.5686	980.0	2940	1.1548
0.5686	981.0	2943	1.1551
0.5686	982.0	2946	1.1553
0.5686	983.0	2949	1.1555
0.5686	984.0	2952	1.1560
0.5686	985.0	2955	1.1564
0.5686	986.0	2958	1.1571
0.5686	987.0	2961	1.1576
0.5686	988.0	2964	1.1580
0.5686	989.0	2967	1.1583
0.5686	990.0	2970	1.1587
0.5686	991.0	2973	1.1591
0.5686	992.0	2976	1.1593
0.5686	993.0	2979	1.1593
0.5686	994.0	2982	1.1595
0.5686	995.0	2985	1.1597
0.5686	996.0	2988	1.1598
0.5686	997.0	2991	1.1599
0.5686	998.0	2994	1.1599
0.5686	999.0	2997	1.1599
0.5609	1000.0	3000	1.1600

Framework versions

• Transformers 4.36.2
• Pytorch 2.1.2+cu121
• Datasets 2.14.7
• Tokenizers 0.15.0