README.md

metadata

tags:
  - generated_from_trainer
model-index:
  - name: RoBERTa-legal-de-cased_German_legal_SQuAD_1000
    results: []

RoBERTa-legal-de-cased_German_legal_SQuAD_1000

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

• Loss: 5.6452

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: 128
• eval_batch_size: 32
• 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	5.6947
No log	2.0	6	5.1954
No log	3.0	9	4.6052
No log	4.0	12	4.1370
No log	5.0	15	3.8636
No log	6.0	18	3.4027
No log	7.0	21	3.4250
No log	8.0	24	3.0216
No log	9.0	27	3.0870
No log	10.0	30	2.6439
No log	11.0	33	2.7132
No log	12.0	36	2.4365
No log	13.0	39	2.9435
No log	14.0	42	2.6702
No log	15.0	45	2.3505
No log	16.0	48	2.8324
No log	17.0	51	2.7316
No log	18.0	54	2.5073
No log	19.0	57	2.9106
No log	20.0	60	2.6635
No log	21.0	63	2.5209
No log	22.0	66	2.8688
No log	23.0	69	2.8064
No log	24.0	72	3.0452
No log	25.0	75	3.0387
No log	26.0	78	2.9657
No log	27.0	81	3.1876
No log	28.0	84	2.9162
No log	29.0	87	2.9666
No log	30.0	90	3.1058
No log	31.0	93	3.1550
No log	32.0	96	3.1996
No log	33.0	99	3.2820
No log	34.0	102	3.3380
No log	35.0	105	3.2726
No log	36.0	108	3.4693
No log	37.0	111	3.4279
No log	38.0	114	3.5814
No log	39.0	117	3.6527
No log	40.0	120	3.8300
No log	41.0	123	3.7870
No log	42.0	126	3.8905
No log	43.0	129	3.8809
No log	44.0	132	3.8656
No log	45.0	135	3.9562
No log	46.0	138	4.0665
No log	47.0	141	4.2994
No log	48.0	144	4.1472
No log	49.0	147	4.2632
No log	50.0	150	4.6800
No log	51.0	153	4.2398
No log	52.0	156	4.5708
No log	53.0	159	4.2461
No log	54.0	162	4.1740
No log	55.0	165	4.5297
No log	56.0	168	4.0936
No log	57.0	171	4.4434
No log	58.0	174	4.6077
No log	59.0	177	4.5631
No log	60.0	180	4.6806
No log	61.0	183	4.6958
No log	62.0	186	4.4510
No log	63.0	189	4.4317
No log	64.0	192	4.6735
No log	65.0	195	4.6081
No log	66.0	198	5.0173
No log	67.0	201	4.6521
No log	68.0	204	4.7164
No log	69.0	207	4.8375
No log	70.0	210	4.8289
No log	71.0	213	4.7528
No log	72.0	216	5.1500
No log	73.0	219	5.0885
No log	74.0	222	5.1445
No log	75.0	225	5.1097
No log	76.0	228	5.1642
No log	77.0	231	4.9672
No log	78.0	234	4.9716
No log	79.0	237	5.2929
No log	80.0	240	5.0157
No log	81.0	243	5.1353
No log	82.0	246	5.5683
No log	83.0	249	4.9978
No log	84.0	252	4.8055
No log	85.0	255	5.3119
No log	86.0	258	5.2239
No log	87.0	261	4.9671
No log	88.0	264	4.9599
No log	89.0	267	5.2382
No log	90.0	270	5.0109
No log	91.0	273	5.0622
No log	92.0	276	5.1434
No log	93.0	279	5.0290
No log	94.0	282	5.1115
No log	95.0	285	4.9397
No log	96.0	288	4.9767
No log	97.0	291	5.0665
No log	98.0	294	5.2069
No log	99.0	297	5.2140
No log	100.0	300	5.0861
No log	101.0	303	5.0563
No log	102.0	306	5.2333
No log	103.0	309	5.1575
No log	104.0	312	5.2062
No log	105.0	315	5.4549
No log	106.0	318	5.2752
No log	107.0	321	5.1327
No log	108.0	324	5.1027
No log	109.0	327	5.1005
No log	110.0	330	5.1292
No log	111.0	333	5.3891
No log	112.0	336	5.4434
No log	113.0	339	5.6022
No log	114.0	342	5.4780
No log	115.0	345	5.5858
No log	116.0	348	5.6703
No log	117.0	351	5.4135
No log	118.0	354	5.4439
No log	119.0	357	5.6348
No log	120.0	360	5.2370
No log	121.0	363	5.3541
No log	122.0	366	5.5423
No log	123.0	369	5.4932
No log	124.0	372	5.1491
No log	125.0	375	5.2077
No log	126.0	378	5.2625
No log	127.0	381	5.1456
No log	128.0	384	5.2715
No log	129.0	387	5.3650
No log	130.0	390	5.2730
No log	131.0	393	5.5526
No log	132.0	396	5.6488
No log	133.0	399	5.3759
No log	134.0	402	5.6901
No log	135.0	405	5.6953
No log	136.0	408	5.5353
No log	137.0	411	5.3983
No log	138.0	414	5.4914
No log	139.0	417	5.6261
No log	140.0	420	5.8345
No log	141.0	423	5.6557
No log	142.0	426	5.4710
No log	143.0	429	5.6258
No log	144.0	432	5.5411
No log	145.0	435	5.3598
No log	146.0	438	5.5702
No log	147.0	441	5.7085
No log	148.0	444	5.5727
No log	149.0	447	5.2242
No log	150.0	450	4.8414
No log	151.0	453	5.1612
No log	152.0	456	5.7066
No log	153.0	459	5.5880
No log	154.0	462	5.4925
No log	155.0	465	5.0759
No log	156.0	468	5.1087
No log	157.0	471	4.8812
No log	158.0	474	5.1039
No log	159.0	477	5.3085
No log	160.0	480	5.4673
No log	161.0	483	5.4923
No log	162.0	486	5.3763
No log	163.0	489	5.3828
No log	164.0	492	5.4743
No log	165.0	495	5.5063
No log	166.0	498	5.5266
0.9626	167.0	501	5.6097
0.9626	168.0	504	5.7058
0.9626	169.0	507	5.6119
0.9626	170.0	510	5.6548
0.9626	171.0	513	5.5099
0.9626	172.0	516	5.3342
0.9626	173.0	519	5.2870
0.9626	174.0	522	5.4253
0.9626	175.0	525	5.7742
0.9626	176.0	528	5.8432
0.9626	177.0	531	5.5272
0.9626	178.0	534	5.2450
0.9626	179.0	537	5.1555
0.9626	180.0	540	5.3367
0.9626	181.0	543	5.2178
0.9626	182.0	546	5.2961
0.9626	183.0	549	5.6308
0.9626	184.0	552	5.7983
0.9626	185.0	555	5.5055
0.9626	186.0	558	5.3565
0.9626	187.0	561	5.7367
0.9626	188.0	564	5.8478
0.9626	189.0	567	5.5833
0.9626	190.0	570	5.3557
0.9626	191.0	573	5.2786
0.9626	192.0	576	5.5348
0.9626	193.0	579	5.8257
0.9626	194.0	582	5.7645
0.9626	195.0	585	5.7769
0.9626	196.0	588	5.7062
0.9626	197.0	591	5.7728
0.9626	198.0	594	5.6809
0.9626	199.0	597	5.4219
0.9626	200.0	600	5.3080
0.9626	201.0	603	5.4554
0.9626	202.0	606	5.6018
0.9626	203.0	609	5.6665
0.9626	204.0	612	5.6521
0.9626	205.0	615	5.7583
0.9626	206.0	618	5.7746
0.9626	207.0	621	5.6901
0.9626	208.0	624	5.6424
0.9626	209.0	627	5.5855
0.9626	210.0	630	5.5050
0.9626	211.0	633	5.5368
0.9626	212.0	636	5.6645
0.9626	213.0	639	5.6972
0.9626	214.0	642	5.6844
0.9626	215.0	645	5.5210
0.9626	216.0	648	5.5874
0.9626	217.0	651	5.6255
0.9626	218.0	654	5.6134
0.9626	219.0	657	5.6443
0.9626	220.0	660	5.9667
0.9626	221.0	663	5.9353
0.9626	222.0	666	5.6914
0.9626	223.0	669	5.5886
0.9626	224.0	672	5.7343
0.9626	225.0	675	5.7949
0.9626	226.0	678	5.7133
0.9626	227.0	681	5.5860
0.9626	228.0	684	5.5021
0.9626	229.0	687	5.6302
0.9626	230.0	690	5.9072
0.9626	231.0	693	6.0590
0.9626	232.0	696	6.0463
0.9626	233.0	699	5.8862
0.9626	234.0	702	5.7384
0.9626	235.0	705	5.6861
0.9626	236.0	708	5.7841
0.9626	237.0	711	5.7964
0.9626	238.0	714	5.5671
0.9626	239.0	717	5.2549
0.9626	240.0	720	5.2110
0.9626	241.0	723	5.4166
0.9626	242.0	726	5.6924
0.9626	243.0	729	5.9362
0.9626	244.0	732	6.0487
0.9626	245.0	735	6.0187
0.9626	246.0	738	5.7336
0.9626	247.0	741	5.4815
0.9626	248.0	744	5.3905
0.9626	249.0	747	5.4187
0.9626	250.0	750	5.6042
0.9626	251.0	753	5.7964
0.9626	252.0	756	5.7236
0.9626	253.0	759	5.6934
0.9626	254.0	762	5.7492
0.9626	255.0	765	5.7811
0.9626	256.0	768	5.9179
0.9626	257.0	771	6.1942
0.9626	258.0	774	6.3682
0.9626	259.0	777	6.1732
0.9626	260.0	780	5.8047
0.9626	261.0	783	5.5860
0.9626	262.0	786	5.4698
0.9626	263.0	789	5.4755
0.9626	264.0	792	5.5021
0.9626	265.0	795	5.5605
0.9626	266.0	798	5.6283
0.9626	267.0	801	5.6758
0.9626	268.0	804	5.7635
0.9626	269.0	807	5.8798
0.9626	270.0	810	5.9836
0.9626	271.0	813	6.0072
0.9626	272.0	816	5.9569
0.9626	273.0	819	5.7397
0.9626	274.0	822	5.5503
0.9626	275.0	825	5.4437
0.9626	276.0	828	5.3607
0.9626	277.0	831	5.4918
0.9626	278.0	834	5.8039
0.9626	279.0	837	6.2400
0.9626	280.0	840	5.9827
0.9626	281.0	843	5.5497
0.9626	282.0	846	5.5525
0.9626	283.0	849	5.8022
0.9626	284.0	852	6.3791
0.9626	285.0	855	6.7389
0.9626	286.0	858	5.9089
0.9626	287.0	861	5.7098
0.9626	288.0	864	5.6714
0.9626	289.0	867	5.8456
0.9626	290.0	870	6.2535
0.9626	291.0	873	5.9029
0.9626	292.0	876	5.8216
0.9626	293.0	879	5.7448
0.9626	294.0	882	5.5862
0.9626	295.0	885	5.7102
0.9626	296.0	888	5.7558
0.9626	297.0	891	5.7961
0.9626	298.0	894	5.9028
0.9626	299.0	897	6.0491
0.9626	300.0	900	5.7925
0.9626	301.0	903	5.4700
0.9626	302.0	906	5.4588
0.9626	303.0	909	5.6720
0.9626	304.0	912	6.0230
0.9626	305.0	915	6.4647
0.9626	306.0	918	6.2420
0.9626	307.0	921	5.8295
0.9626	308.0	924	5.3617
0.9626	309.0	927	4.9577
0.9626	310.0	930	5.0150
0.9626	311.0	933	5.2875
0.9626	312.0	936	5.5462
0.9626	313.0	939	5.7277
0.9626	314.0	942	5.8906
0.9626	315.0	945	5.9169
0.9626	316.0	948	5.7673
0.9626	317.0	951	5.6064
0.9626	318.0	954	5.5556
0.9626	319.0	957	5.6220
0.9626	320.0	960	5.6146
0.9626	321.0	963	5.3099
0.9626	322.0	966	5.3364
0.9626	323.0	969	5.4730
0.9626	324.0	972	5.5880
0.9626	325.0	975	5.6150
0.9626	326.0	978	5.5781
0.9626	327.0	981	5.5182
0.9626	328.0	984	5.4356
0.9626	329.0	987	5.3527
0.9626	330.0	990	5.3635
0.9626	331.0	993	5.4554
0.9626	332.0	996	5.3901
0.9626	333.0	999	5.3446
0.5993	334.0	1002	5.3783
0.5993	335.0	1005	5.4306
0.5993	336.0	1008	5.4794
0.5993	337.0	1011	5.4791
0.5993	338.0	1014	5.4642
0.5993	339.0	1017	5.4626
0.5993	340.0	1020	5.4538
0.5993	341.0	1023	5.5067
0.5993	342.0	1026	5.5883
0.5993	343.0	1029	5.7722
0.5993	344.0	1032	5.8934
0.5993	345.0	1035	5.9222
0.5993	346.0	1038	6.1447
0.5993	347.0	1041	6.0570
0.5993	348.0	1044	5.8083
0.5993	349.0	1047	5.7410
0.5993	350.0	1050	5.7618
0.5993	351.0	1053	5.7705
0.5993	352.0	1056	5.6972
0.5993	353.0	1059	5.5708
0.5993	354.0	1062	5.4482
0.5993	355.0	1065	5.4064
0.5993	356.0	1068	5.4951
0.5993	357.0	1071	5.6875
0.5993	358.0	1074	5.6339
0.5993	359.0	1077	5.5631
0.5993	360.0	1080	5.4478
0.5993	361.0	1083	5.2951
0.5993	362.0	1086	5.1161
0.5993	363.0	1089	5.1569
0.5993	364.0	1092	5.4528
0.5993	365.0	1095	5.7312
0.5993	366.0	1098	5.8821
0.5993	367.0	1101	5.8459
0.5993	368.0	1104	5.6726
0.5993	369.0	1107	5.5405
0.5993	370.0	1110	5.4275
0.5993	371.0	1113	5.4765
0.5993	372.0	1116	5.7440
0.5993	373.0	1119	6.0895
0.5993	374.0	1122	6.2869
0.5993	375.0	1125	5.9376
0.5993	376.0	1128	5.6037
0.5993	377.0	1131	5.4221
0.5993	378.0	1134	5.3323
0.5993	379.0	1137	5.3272
0.5993	380.0	1140	5.3885
0.5993	381.0	1143	5.5124
0.5993	382.0	1146	5.6263
0.5993	383.0	1149	5.7585
0.5993	384.0	1152	6.0367
0.5993	385.0	1155	5.5934
0.5993	386.0	1158	5.2997
0.5993	387.0	1161	5.2513
0.5993	388.0	1164	5.4970
0.5993	389.0	1167	5.7936
0.5993	390.0	1170	6.3089
0.5993	391.0	1173	6.2614
0.5993	392.0	1176	5.8308
0.5993	393.0	1179	5.6612
0.5993	394.0	1182	5.6080
0.5993	395.0	1185	5.7647
0.5993	396.0	1188	5.9246
0.5993	397.0	1191	6.0651
0.5993	398.0	1194	5.8385
0.5993	399.0	1197	5.7327
0.5993	400.0	1200	5.6004
0.5993	401.0	1203	5.5131
0.5993	402.0	1206	5.4752
0.5993	403.0	1209	5.5536
0.5993	404.0	1212	5.5968
0.5993	405.0	1215	5.5586
0.5993	406.0	1218	5.4702
0.5993	407.0	1221	5.4310
0.5993	408.0	1224	5.3599
0.5993	409.0	1227	5.3116
0.5993	410.0	1230	5.2862
0.5993	411.0	1233	5.2657
0.5993	412.0	1236	5.3123
0.5993	413.0	1239	5.3882
0.5993	414.0	1242	5.4576
0.5993	415.0	1245	5.5410
0.5993	416.0	1248	5.5672
0.5993	417.0	1251	5.4924
0.5993	418.0	1254	5.4614
0.5993	419.0	1257	5.4992
0.5993	420.0	1260	5.5625
0.5993	421.0	1263	5.6032
0.5993	422.0	1266	5.6243
0.5993	423.0	1269	5.6728
0.5993	424.0	1272	5.7510
0.5993	425.0	1275	5.8316
0.5993	426.0	1278	5.8459
0.5993	427.0	1281	5.8233
0.5993	428.0	1284	5.8041
0.5993	429.0	1287	5.7928
0.5993	430.0	1290	5.9102
0.5993	431.0	1293	5.9400
0.5993	432.0	1296	5.9258
0.5993	433.0	1299	5.9518
0.5993	434.0	1302	5.9328
0.5993	435.0	1305	5.9048
0.5993	436.0	1308	5.8480
0.5993	437.0	1311	5.7373
0.5993	438.0	1314	5.7134
0.5993	439.0	1317	5.7925
0.5993	440.0	1320	5.8441
0.5993	441.0	1323	5.8586
0.5993	442.0	1326	5.8572
0.5993	443.0	1329	5.8791
0.5993	444.0	1332	5.8760
0.5993	445.0	1335	5.8304
0.5993	446.0	1338	5.7682
0.5993	447.0	1341	5.7088
0.5993	448.0	1344	5.7478
0.5993	449.0	1347	5.7562
0.5993	450.0	1350	5.7182
0.5993	451.0	1353	5.6661
0.5993	452.0	1356	5.6393
0.5993	453.0	1359	5.5784
0.5993	454.0	1362	5.3709
0.5993	455.0	1365	5.2503
0.5993	456.0	1368	5.2249
0.5993	457.0	1371	5.4051
0.5993	458.0	1374	5.6094
0.5993	459.0	1377	5.7869
0.5993	460.0	1380	5.9199
0.5993	461.0	1383	5.9639
0.5993	462.0	1386	5.9691
0.5993	463.0	1389	5.9153
0.5993	464.0	1392	5.7866
0.5993	465.0	1395	5.5898
0.5993	466.0	1398	5.4537
0.5993	467.0	1401	5.3700
0.5993	468.0	1404	5.3751
0.5993	469.0	1407	5.3956
0.5993	470.0	1410	5.4520
0.5993	471.0	1413	5.6162
0.5993	472.0	1416	5.7741
0.5993	473.0	1419	5.8836
0.5993	474.0	1422	5.9866
0.5993	475.0	1425	6.0514
0.5993	476.0	1428	6.0535
0.5993	477.0	1431	6.0336
0.5993	478.0	1434	6.0041
0.5993	479.0	1437	5.9570
0.5993	480.0	1440	5.9294
0.5993	481.0	1443	5.8618
0.5993	482.0	1446	5.7985
0.5993	483.0	1449	5.7649
0.5993	484.0	1452	5.7789
0.5993	485.0	1455	5.7765
0.5993	486.0	1458	5.8054
0.5993	487.0	1461	5.8311
0.5993	488.0	1464	5.8436
0.5993	489.0	1467	5.8443
0.5993	490.0	1470	5.8196
0.5993	491.0	1473	5.7974
0.5993	492.0	1476	5.8441
0.5993	493.0	1479	5.9647
0.5993	494.0	1482	6.0314
0.5993	495.0	1485	6.0491
0.5993	496.0	1488	6.0543
0.5993	497.0	1491	6.0228
0.5993	498.0	1494	5.9230
0.5993	499.0	1497	5.7917
0.5989	500.0	1500	5.6665
0.5989	501.0	1503	5.5716
0.5989	502.0	1506	5.6449
0.5989	503.0	1509	5.7081
0.5989	504.0	1512	5.7447
0.5989	505.0	1515	5.7599
0.5989	506.0	1518	5.8102
0.5989	507.0	1521	5.8193
0.5989	508.0	1524	5.8317
0.5989	509.0	1527	5.8781
0.5989	510.0	1530	5.8215
0.5989	511.0	1533	5.7121
0.5989	512.0	1536	5.5765
0.5989	513.0	1539	5.4906
0.5989	514.0	1542	5.4441
0.5989	515.0	1545	5.4201
0.5989	516.0	1548	5.4155
0.5989	517.0	1551	5.4295
0.5989	518.0	1554	5.4522
0.5989	519.0	1557	5.4818
0.5989	520.0	1560	5.5004
0.5989	521.0	1563	5.5005
0.5989	522.0	1566	5.5116
0.5989	523.0	1569	5.5320
0.5989	524.0	1572	5.5556
0.5989	525.0	1575	5.5624
0.5989	526.0	1578	5.5517
0.5989	527.0	1581	5.5346
0.5989	528.0	1584	5.5168
0.5989	529.0	1587	5.5326
0.5989	530.0	1590	5.5668
0.5989	531.0	1593	5.5919
0.5989	532.0	1596	5.6231
0.5989	533.0	1599	5.6618
0.5989	534.0	1602	5.6814
0.5989	535.0	1605	5.6836
0.5989	536.0	1608	5.6819
0.5989	537.0	1611	5.6891
0.5989	538.0	1614	5.6871
0.5989	539.0	1617	5.6958
0.5989	540.0	1620	5.7133
0.5989	541.0	1623	5.7269
0.5989	542.0	1626	5.7310
0.5989	543.0	1629	5.7368
0.5989	544.0	1632	5.8341
0.5989	545.0	1635	5.9563
0.5989	546.0	1638	6.0104
0.5989	547.0	1641	5.9823
0.5989	548.0	1644	5.9554
0.5989	549.0	1647	5.8786
0.5989	550.0	1650	5.8074
0.5989	551.0	1653	5.7504
0.5989	552.0	1656	5.7026
0.5989	553.0	1659	5.6552
0.5989	554.0	1662	5.6232
0.5989	555.0	1665	5.6048
0.5989	556.0	1668	5.5844
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0.5989	558.0	1674	5.6240
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0.5989	560.0	1680	5.6054
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0.5989	562.0	1686	5.7233
0.5989	563.0	1689	5.8112
0.5989	564.0	1692	5.8399
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0.5989	566.0	1698	5.8377
0.5989	567.0	1701	5.8439
0.5989	568.0	1704	5.7663
0.5989	569.0	1707	5.7186
0.5989	570.0	1710	5.6732
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0.5989	572.0	1716	5.6221
0.5989	573.0	1719	5.5685
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0.5989	575.0	1725	5.6440
0.5989	576.0	1728	5.7316
0.5989	577.0	1731	5.8156
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0.5989	579.0	1737	5.5954
0.5989	580.0	1740	5.4828
0.5989	581.0	1743	5.5435
0.5989	582.0	1746	5.5503
0.5989	583.0	1749	5.5725
0.5989	584.0	1752	5.4932
0.5989	585.0	1755	5.4785
0.5989	586.0	1758	5.5084
0.5989	587.0	1761	5.5705
0.5989	588.0	1764	5.6281
0.5989	589.0	1767	5.6490
0.5989	590.0	1770	5.6242
0.5989	591.0	1773	5.5676
0.5989	592.0	1776	5.5537
0.5989	593.0	1779	5.5501
0.5989	594.0	1782	5.5493
0.5989	595.0	1785	5.5406
0.5989	596.0	1788	5.5269
0.5989	597.0	1791	5.5071
0.5989	598.0	1794	5.4852
0.5989	599.0	1797	5.4659
0.5989	600.0	1800	5.4424
0.5989	601.0	1803	5.4162
0.5989	602.0	1806	5.4022
0.5989	603.0	1809	5.4035
0.5989	604.0	1812	5.4064
0.5989	605.0	1815	5.4068
0.5989	606.0	1818	5.4115
0.5989	607.0	1821	5.4176
0.5989	608.0	1824	5.4145
0.5989	609.0	1827	5.4139
0.5989	610.0	1830	5.4203
0.5989	611.0	1833	5.4295
0.5989	612.0	1836	5.4453
0.5989	613.0	1839	5.4575
0.5989	614.0	1842	5.4645
0.5989	615.0	1845	5.4703
0.5989	616.0	1848	5.5034
0.5989	617.0	1851	5.5715
0.5989	618.0	1854	5.6290
0.5989	619.0	1857	5.6525
0.5989	620.0	1860	5.6161
0.5989	621.0	1863	5.5780
0.5989	622.0	1866	5.5542
0.5989	623.0	1869	5.6009
0.5989	624.0	1872	5.7728
0.5989	625.0	1875	5.9367
0.5989	626.0	1878	6.0806
0.5989	627.0	1881	6.0229
0.5989	628.0	1884	5.9066
0.5989	629.0	1887	5.7914
0.5989	630.0	1890	5.7465
0.5989	631.0	1893	5.7362
0.5989	632.0	1896	5.7263
0.5989	633.0	1899	5.7551
0.5989	634.0	1902	5.8519
0.5989	635.0	1905	5.8798
0.5989	636.0	1908	5.8708
0.5989	637.0	1911	5.8508
0.5989	638.0	1914	5.8248
0.5989	639.0	1917	5.7868
0.5989	640.0	1920	5.7357
0.5989	641.0	1923	5.6146
0.5989	642.0	1926	5.5251
0.5989	643.0	1929	5.4541
0.5989	644.0	1932	5.4036
0.5989	645.0	1935	5.3704
0.5989	646.0	1938	5.4213
0.5989	647.0	1941	5.4369
0.5989	648.0	1944	5.4765
0.5989	649.0	1947	5.5116
0.5989	650.0	1950	5.5560
0.5989	651.0	1953	5.5961
0.5989	652.0	1956	5.5747
0.5989	653.0	1959	5.5212
0.5989	654.0	1962	5.4876
0.5989	655.0	1965	5.4721
0.5989	656.0	1968	5.4778
0.5989	657.0	1971	5.4154
0.5989	658.0	1974	5.3672
0.5989	659.0	1977	5.3911
0.5989	660.0	1980	5.4908
0.5989	661.0	1983	5.6000
0.5989	662.0	1986	5.6974
0.5989	663.0	1989	5.5992
0.5989	664.0	1992	5.4948
0.5989	665.0	1995	5.4234
0.5989	666.0	1998	5.3805
0.5943	667.0	2001	5.3588
0.5943	668.0	2004	5.3593
0.5943	669.0	2007	5.3728
0.5943	670.0	2010	5.4896
0.5943	671.0	2013	5.5719
0.5943	672.0	2016	5.6211
0.5943	673.0	2019	5.6451
0.5943	674.0	2022	5.6532
0.5943	675.0	2025	5.6509
0.5943	676.0	2028	5.6365
0.5943	677.0	2031	5.6065
0.5943	678.0	2034	5.5860
0.5943	679.0	2037	5.5719
0.5943	680.0	2040	5.5616
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0.5943	685.0	2055	5.5336
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0.5943	700.0	2100	5.6876
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0.5943	732.0	2196	5.4276
0.5943	733.0	2199	5.4174
0.5943	734.0	2202	5.4178
0.5943	735.0	2205	5.4265
0.5943	736.0	2208	5.4378
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0.5943	739.0	2217	5.4601
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0.5943	764.0	2292	5.7504
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0.5968	909.0	2727	5.6102
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0.5968	911.0	2733	5.6506
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0.5968	913.0	2739	5.6651
0.5968	914.0	2742	5.6672
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0.5968	920.0	2760	5.6919
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0.5968	922.0	2766	5.7179
0.5968	923.0	2769	5.7230
0.5968	924.0	2772	5.7269
0.5968	925.0	2775	5.7280
0.5968	926.0	2778	5.7262
0.5968	927.0	2781	5.7240
0.5968	928.0	2784	5.7216
0.5968	929.0	2787	5.7177
0.5968	930.0	2790	5.7144
0.5968	931.0	2793	5.7125
0.5968	932.0	2796	5.7085
0.5968	933.0	2799	5.7050
0.5968	934.0	2802	5.7010
0.5968	935.0	2805	5.6980
0.5968	936.0	2808	5.6966
0.5968	937.0	2811	5.6950
0.5968	938.0	2814	5.6912
0.5968	939.0	2817	5.6834
0.5968	940.0	2820	5.6776
0.5968	941.0	2823	5.6730
0.5968	942.0	2826	5.6699
0.5968	943.0	2829	5.6676
0.5968	944.0	2832	5.6639
0.5968	945.0	2835	5.6615
0.5968	946.0	2838	5.6605
0.5968	947.0	2841	5.6597
0.5968	948.0	2844	5.6589
0.5968	949.0	2847	5.6577
0.5968	950.0	2850	5.6567
0.5968	951.0	2853	5.6541
0.5968	952.0	2856	5.6521
0.5968	953.0	2859	5.6492
0.5968	954.0	2862	5.6463
0.5968	955.0	2865	5.6436
0.5968	956.0	2868	5.6384
0.5968	957.0	2871	5.6343
0.5968	958.0	2874	5.6311
0.5968	959.0	2877	5.6270
0.5968	960.0	2880	5.6207
0.5968	961.0	2883	5.6163
0.5968	962.0	2886	5.6132
0.5968	963.0	2889	5.6111
0.5968	964.0	2892	5.6102
0.5968	965.0	2895	5.6094
0.5968	966.0	2898	5.6085
0.5968	967.0	2901	5.6081
0.5968	968.0	2904	5.6087
0.5968	969.0	2907	5.6086
0.5968	970.0	2910	5.6086
0.5968	971.0	2913	5.6087
0.5968	972.0	2916	5.6088
0.5968	973.0	2919	5.6091
0.5968	974.0	2922	5.6095
0.5968	975.0	2925	5.6134
0.5968	976.0	2928	5.6172
0.5968	977.0	2931	5.6200
0.5968	978.0	2934	5.6222
0.5968	979.0	2937	5.6254
0.5968	980.0	2940	5.6306
0.5968	981.0	2943	5.6340
0.5968	982.0	2946	5.6366
0.5968	983.0	2949	5.6381
0.5968	984.0	2952	5.6395
0.5968	985.0	2955	5.6407
0.5968	986.0	2958	5.6415
0.5968	987.0	2961	5.6419
0.5968	988.0	2964	5.6419
0.5968	989.0	2967	5.6419
0.5968	990.0	2970	5.6421
0.5968	991.0	2973	5.6422
0.5968	992.0	2976	5.6421
0.5968	993.0	2979	5.6420
0.5968	994.0	2982	5.6435
0.5968	995.0	2985	5.6445
0.5968	996.0	2988	5.6449
0.5968	997.0	2991	5.6452
0.5968	998.0	2994	5.6453
0.5968	999.0	2997	5.6452
0.5974	1000.0	3000	5.6452

Framework versions

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