Legal_GQA_7_BERT_augmented_all_1000

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

• Loss: 4.7005

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	4	2.9380
No log	2.0	8	2.5820
No log	3.0	12	3.0509
No log	4.0	16	2.3078
No log	5.0	20	2.7065
No log	6.0	24	2.3982
No log	7.0	28	2.6201
No log	8.0	32	2.4953
No log	9.0	36	2.7277
No log	10.0	40	2.6683
No log	11.0	44	3.0577
No log	12.0	48	2.8969
No log	13.0	52	3.2354
No log	14.0	56	3.0468
No log	15.0	60	3.3268
No log	16.0	64	3.4703
No log	17.0	68	3.6214
No log	18.0	72	3.7216
No log	19.0	76	4.0452
No log	20.0	80	3.9239
No log	21.0	84	3.9023
No log	22.0	88	3.9777
No log	23.0	92	3.9253
No log	24.0	96	4.1831
No log	25.0	100	4.3619
No log	26.0	104	4.1807
No log	27.0	108	4.2701
No log	28.0	112	4.1775
No log	29.0	116	4.3563
No log	30.0	120	4.5201
No log	31.0	124	4.0869
No log	32.0	128	4.5971
No log	33.0	132	4.6645
No log	34.0	136	4.8239
No log	35.0	140	4.6295
No log	36.0	144	4.5315
No log	37.0	148	4.7116
No log	38.0	152	4.6132
No log	39.0	156	4.6480
No log	40.0	160	5.0719
No log	41.0	164	4.3886
No log	42.0	168	5.0667
No log	43.0	172	4.9581
No log	44.0	176	4.8041
No log	45.0	180	5.1624
No log	46.0	184	5.2024
No log	47.0	188	5.1963
No log	48.0	192	4.9426
No log	49.0	196	4.8945
No log	50.0	200	4.8714
No log	51.0	204	4.7478
No log	52.0	208	4.7148
No log	53.0	212	4.8706
No log	54.0	216	4.9336
No log	55.0	220	5.0128
No log	56.0	224	5.1898
No log	57.0	228	4.6949
No log	58.0	232	5.0222
No log	59.0	236	4.8483
No log	60.0	240	4.8994
No log	61.0	244	5.2952
No log	62.0	248	4.5371
No log	63.0	252	5.1002
No log	64.0	256	5.6942
No log	65.0	260	5.0212
No log	66.0	264	5.3357
No log	67.0	268	5.1792
No log	68.0	272	5.2472
No log	69.0	276	5.4309
No log	70.0	280	5.0850
No log	71.0	284	4.9608
No log	72.0	288	5.2130
No log	73.0	292	4.7978
No log	74.0	296	4.9769
No log	75.0	300	5.1610
No log	76.0	304	5.3251
No log	77.0	308	4.9996
No log	78.0	312	5.5135
No log	79.0	316	5.5003
No log	80.0	320	5.1553
No log	81.0	324	4.8870
No log	82.0	328	5.0279
No log	83.0	332	5.3669
No log	84.0	336	4.8467
No log	85.0	340	4.8454
No log	86.0	344	5.2457
No log	87.0	348	5.1974
No log	88.0	352	5.2219
No log	89.0	356	5.0773
No log	90.0	360	5.2008
No log	91.0	364	5.1071
No log	92.0	368	5.0329
No log	93.0	372	5.0813
No log	94.0	376	5.0415
No log	95.0	380	5.2463
No log	96.0	384	5.4873
No log	97.0	388	5.2609
No log	98.0	392	5.0122
No log	99.0	396	5.2036
No log	100.0	400	5.3377
No log	101.0	404	4.8863
No log	102.0	408	4.7856
No log	103.0	412	4.9619
No log	104.0	416	5.2065
No log	105.0	420	5.1189
No log	106.0	424	4.9705
No log	107.0	428	4.9318
No log	108.0	432	4.7212
No log	109.0	436	4.7553
No log	110.0	440	4.7898
No log	111.0	444	4.7635
No log	112.0	448	4.9904
No log	113.0	452	5.1976
No log	114.0	456	4.9938
No log	115.0	460	5.0584
No log	116.0	464	4.9996
No log	117.0	468	4.7027
No log	118.0	472	4.4720
No log	119.0	476	4.6450
No log	120.0	480	5.0001
No log	121.0	484	5.0317
No log	122.0	488	4.7724
No log	123.0	492	4.9326
No log	124.0	496	5.0676
0.4037	125.0	500	4.9028
0.4037	126.0	504	4.7847
0.4037	127.0	508	5.1751
0.4037	128.0	512	5.1996
0.4037	129.0	516	4.7132
0.4037	130.0	520	4.6547
0.4037	131.0	524	4.8977
0.4037	132.0	528	4.9695
0.4037	133.0	532	4.7271
0.4037	134.0	536	4.6126
0.4037	135.0	540	4.9626
0.4037	136.0	544	5.3121
0.4037	137.0	548	5.3519
0.4037	138.0	552	5.0946
0.4037	139.0	556	5.1286
0.4037	140.0	560	5.4009
0.4037	141.0	564	5.4832
0.4037	142.0	568	5.1561
0.4037	143.0	572	5.0176
0.4037	144.0	576	4.8817
0.4037	145.0	580	5.0710
0.4037	146.0	584	5.2156
0.4037	147.0	588	5.2721
0.4037	148.0	592	5.1250
0.4037	149.0	596	5.1451
0.4037	150.0	600	5.2969
0.4037	151.0	604	5.3088
0.4037	152.0	608	5.1835
0.4037	153.0	612	4.9910
0.4037	154.0	616	5.3989
0.4037	155.0	620	5.4632
0.4037	156.0	624	5.3354
0.4037	157.0	628	5.5778
0.4037	158.0	632	5.7726
0.4037	159.0	636	5.7079
0.4037	160.0	640	5.3131
0.4037	161.0	644	5.4280
0.4037	162.0	648	5.4390
0.4037	163.0	652	5.4395
0.4037	164.0	656	5.6492
0.4037	165.0	660	5.2560
0.4037	166.0	664	5.0657
0.4037	167.0	668	5.1240
0.4037	168.0	672	5.4225
0.4037	169.0	676	6.0073
0.4037	170.0	680	5.5445
0.4037	171.0	684	5.1637
0.4037	172.0	688	4.9840
0.4037	173.0	692	5.2228
0.4037	174.0	696	5.1905
0.4037	175.0	700	5.1180
0.4037	176.0	704	5.4013
0.4037	177.0	708	5.5344
0.4037	178.0	712	5.3395
0.4037	179.0	716	5.0161
0.4037	180.0	720	4.8551
0.4037	181.0	724	5.2741
0.4037	182.0	728	5.3707
0.4037	183.0	732	5.0652
0.4037	184.0	736	4.7357
0.4037	185.0	740	4.8232
0.4037	186.0	744	5.1241
0.4037	187.0	748	5.4487
0.4037	188.0	752	5.3232
0.4037	189.0	756	5.1369
0.4037	190.0	760	5.0588
0.4037	191.0	764	5.2156
0.4037	192.0	768	5.2476
0.4037	193.0	772	5.2900
0.4037	194.0	776	5.1977
0.4037	195.0	780	5.1992
0.4037	196.0	784	5.6804
0.4037	197.0	788	5.8118
0.4037	198.0	792	5.4130
0.4037	199.0	796	5.1673
0.4037	200.0	800	4.9665
0.4037	201.0	804	5.2053
0.4037	202.0	808	5.5530
0.4037	203.0	812	5.7718
0.4037	204.0	816	5.3386
0.4037	205.0	820	4.9518
0.4037	206.0	824	4.8371
0.4037	207.0	828	5.0102
0.4037	208.0	832	5.1061
0.4037	209.0	836	4.9848
0.4037	210.0	840	4.9735
0.4037	211.0	844	4.9339
0.4037	212.0	848	4.8254
0.4037	213.0	852	4.9969
0.4037	214.0	856	5.2204
0.4037	215.0	860	5.1112
0.4037	216.0	864	4.7763
0.4037	217.0	868	4.8580
0.4037	218.0	872	5.1874
0.4037	219.0	876	5.3238
0.4037	220.0	880	5.3958
0.4037	221.0	884	5.3168
0.4037	222.0	888	5.1729
0.4037	223.0	892	5.0523
0.4037	224.0	896	4.9942
0.4037	225.0	900	5.0410
0.4037	226.0	904	5.1962
0.4037	227.0	908	5.3261
0.4037	228.0	912	5.4391
0.4037	229.0	916	5.2511
0.4037	230.0	920	5.0388
0.4037	231.0	924	5.2094
0.4037	232.0	928	5.3312
0.4037	233.0	932	5.6344
0.4037	234.0	936	5.5231
0.4037	235.0	940	5.0048
0.4037	236.0	944	4.8371
0.4037	237.0	948	4.8247
0.4037	238.0	952	4.8645
0.4037	239.0	956	5.2013
0.4037	240.0	960	5.5601
0.4037	241.0	964	5.4658
0.4037	242.0	968	5.3698
0.4037	243.0	972	4.9395
0.4037	244.0	976	5.0872
0.4037	245.0	980	5.5867
0.4037	246.0	984	5.5795
0.4037	247.0	988	5.2669
0.4037	248.0	992	4.9983
0.4037	249.0	996	4.8365
0.0536	250.0	1000	4.9191
0.0536	251.0	1004	5.2877
0.0536	252.0	1008	5.5789
0.0536	253.0	1012	5.2302
0.0536	254.0	1016	5.0758
0.0536	255.0	1020	5.1417
0.0536	256.0	1024	5.2163
0.0536	257.0	1028	5.0782
0.0536	258.0	1032	4.9171
0.0536	259.0	1036	4.7777
0.0536	260.0	1040	4.9647
0.0536	261.0	1044	5.3309
0.0536	262.0	1048	5.6996
0.0536	263.0	1052	5.4060
0.0536	264.0	1056	4.9856
0.0536	265.0	1060	4.8442
0.0536	266.0	1064	4.9158
0.0536	267.0	1068	5.0169
0.0536	268.0	1072	5.0580
0.0536	269.0	1076	5.2681
0.0536	270.0	1080	5.4352
0.0536	271.0	1084	5.5453
0.0536	272.0	1088	5.5768
0.0536	273.0	1092	5.4885
0.0536	274.0	1096	5.0221
0.0536	275.0	1100	4.8237
0.0536	276.0	1104	4.9284
0.0536	277.0	1108	5.2256
0.0536	278.0	1112	5.3565
0.0536	279.0	1116	5.3932
0.0536	280.0	1120	5.4019
0.0536	281.0	1124	5.4370
0.0536	282.0	1128	5.4675
0.0536	283.0	1132	5.6459
0.0536	284.0	1136	5.5861
0.0536	285.0	1140	5.4004
0.0536	286.0	1144	5.1894
0.0536	287.0	1148	4.9818
0.0536	288.0	1152	4.7181
0.0536	289.0	1156	4.7223
0.0536	290.0	1160	5.0193
0.0536	291.0	1164	5.1163
0.0536	292.0	1168	5.0657
0.0536	293.0	1172	4.9432
0.0536	294.0	1176	4.8841
0.0536	295.0	1180	4.9769
0.0536	296.0	1184	5.0133
0.0536	297.0	1188	5.0058
0.0536	298.0	1192	5.0492
0.0536	299.0	1196	4.8457
0.0536	300.0	1200	4.8348
0.0536	301.0	1204	5.0977
0.0536	302.0	1208	5.5092
0.0536	303.0	1212	5.4270
0.0536	304.0	1216	5.2202
0.0536	305.0	1220	5.0359
0.0536	306.0	1224	4.9623
0.0536	307.0	1228	4.9127
0.0536	308.0	1232	4.8453
0.0536	309.0	1236	4.8267
0.0536	310.0	1240	4.8523
0.0536	311.0	1244	4.7589
0.0536	312.0	1248	4.8415
0.0536	313.0	1252	5.1936
0.0536	314.0	1256	5.5103
0.0536	315.0	1260	5.4452
0.0536	316.0	1264	5.2300
0.0536	317.0	1268	5.1810
0.0536	318.0	1272	4.9656
0.0536	319.0	1276	4.7948
0.0536	320.0	1280	4.7351
0.0536	321.0	1284	4.7850
0.0536	322.0	1288	5.0115
0.0536	323.0	1292	5.1589
0.0536	324.0	1296	5.1913
0.0536	325.0	1300	5.1318
0.0536	326.0	1304	5.1166
0.0536	327.0	1308	5.1541
0.0536	328.0	1312	5.1706
0.0536	329.0	1316	5.2756
0.0536	330.0	1320	5.4849
0.0536	331.0	1324	5.6112
0.0536	332.0	1328	5.1736
0.0536	333.0	1332	4.9865
0.0536	334.0	1336	4.9833
0.0536	335.0	1340	5.0037
0.0536	336.0	1344	5.0455
0.0536	337.0	1348	5.0515
0.0536	338.0	1352	5.0057
0.0536	339.0	1356	4.9131
0.0536	340.0	1360	4.8607
0.0536	341.0	1364	4.8559
0.0536	342.0	1368	4.8355
0.0536	343.0	1372	4.9568
0.0536	344.0	1376	5.0318
0.0536	345.0	1380	5.3931
0.0536	346.0	1384	5.5808
0.0536	347.0	1388	5.3912
0.0536	348.0	1392	5.1149
0.0536	349.0	1396	5.0646
0.0536	350.0	1400	5.1169
0.0536	351.0	1404	5.0768
0.0536	352.0	1408	4.9835
0.0536	353.0	1412	4.9290
0.0536	354.0	1416	5.0441
0.0536	355.0	1420	5.1326
0.0536	356.0	1424	5.0945
0.0536	357.0	1428	5.0436
0.0536	358.0	1432	5.0047
0.0536	359.0	1436	4.9892
0.0536	360.0	1440	4.9832
0.0536	361.0	1444	5.1881
0.0536	362.0	1448	5.4618
0.0536	363.0	1452	5.4748
0.0536	364.0	1456	5.1214
0.0536	365.0	1460	4.8672
0.0536	366.0	1464	4.9006
0.0536	367.0	1468	4.9846
0.0536	368.0	1472	5.0177
0.0536	369.0	1476	4.9520
0.0536	370.0	1480	4.8397
0.0536	371.0	1484	4.7272
0.0536	372.0	1488	4.7187
0.0536	373.0	1492	4.8335
0.0536	374.0	1496	4.9101
0.0454	375.0	1500	4.9155
0.0454	376.0	1504	4.8792
0.0454	377.0	1508	4.9402
0.0454	378.0	1512	5.0068
0.0454	379.0	1516	4.9634
0.0454	380.0	1520	4.8550
0.0454	381.0	1524	4.8172
0.0454	382.0	1528	4.8976
0.0454	383.0	1532	4.8668
0.0454	384.0	1536	4.8096
0.0454	385.0	1540	4.9056
0.0454	386.0	1544	4.8995
0.0454	387.0	1548	4.9266
0.0454	388.0	1552	4.9127
0.0454	389.0	1556	4.9662
0.0454	390.0	1560	5.1300
0.0454	391.0	1564	5.0788
0.0454	392.0	1568	4.9274
0.0454	393.0	1572	4.7669
0.0454	394.0	1576	4.8280
0.0454	395.0	1580	4.9077
0.0454	396.0	1584	5.0100
0.0454	397.0	1588	5.1152
0.0454	398.0	1592	5.0173
0.0454	399.0	1596	4.9616
0.0454	400.0	1600	4.9415
0.0454	401.0	1604	4.8649
0.0454	402.0	1608	4.8989
0.0454	403.0	1612	5.0085
0.0454	404.0	1616	4.7415
0.0454	405.0	1620	4.7229
0.0454	406.0	1624	4.7675
0.0454	407.0	1628	4.9378
0.0454	408.0	1632	4.9508
0.0454	409.0	1636	4.8764
0.0454	410.0	1640	4.5709
0.0454	411.0	1644	4.4331
0.0454	412.0	1648	4.5259
0.0454	413.0	1652	4.6943
0.0454	414.0	1656	4.8209
0.0454	415.0	1660	4.8518
0.0454	416.0	1664	4.7420
0.0454	417.0	1668	4.7403
0.0454	418.0	1672	4.8842
0.0454	419.0	1676	4.9986
0.0454	420.0	1680	4.9690
0.0454	421.0	1684	4.9944
0.0454	422.0	1688	5.2137
0.0454	423.0	1692	5.2233
0.0454	424.0	1696	5.2054
0.0454	425.0	1700	4.8563
0.0454	426.0	1704	4.4917
0.0454	427.0	1708	4.5086
0.0454	428.0	1712	4.9097
0.0454	429.0	1716	5.1352
0.0454	430.0	1720	5.2054
0.0454	431.0	1724	5.3106
0.0454	432.0	1728	5.2000
0.0454	433.0	1732	4.9576
0.0454	434.0	1736	5.1364
0.0454	435.0	1740	5.1199
0.0454	436.0	1744	4.9821
0.0454	437.0	1748	4.9902
0.0454	438.0	1752	5.1148
0.0454	439.0	1756	5.3666
0.0454	440.0	1760	5.5260
0.0454	441.0	1764	5.5232
0.0454	442.0	1768	5.4299
0.0454	443.0	1772	5.2936
0.0454	444.0	1776	5.1401
0.0454	445.0	1780	5.0011
0.0454	446.0	1784	4.9221
0.0454	447.0	1788	4.9018
0.0454	448.0	1792	5.0006
0.0454	449.0	1796	5.1042
0.0454	450.0	1800	5.2253
0.0454	451.0	1804	5.3063
0.0454	452.0	1808	5.3490
0.0454	453.0	1812	5.3397
0.0454	454.0	1816	5.3150
0.0454	455.0	1820	5.2644
0.0454	456.0	1824	5.0599
0.0454	457.0	1828	4.9976
0.0454	458.0	1832	4.9226
0.0454	459.0	1836	4.9539
0.0454	460.0	1840	4.9954
0.0454	461.0	1844	5.0675
0.0454	462.0	1848	5.1135
0.0454	463.0	1852	5.2139
0.0454	464.0	1856	5.2386
0.0454	465.0	1860	5.2661
0.0454	466.0	1864	5.2302
0.0454	467.0	1868	5.2140
0.0454	468.0	1872	5.2114
0.0454	469.0	1876	5.1763
0.0454	470.0	1880	5.1441
0.0454	471.0	1884	5.0453
0.0454	472.0	1888	5.0008
0.0454	473.0	1892	4.9806
0.0454	474.0	1896	4.9718
0.0454	475.0	1900	4.9125
0.0454	476.0	1904	4.8689
0.0454	477.0	1908	4.8320
0.0454	478.0	1912	4.8603
0.0454	479.0	1916	4.8986
0.0454	480.0	1920	4.9400
0.0454	481.0	1924	4.9758
0.0454	482.0	1928	4.9952
0.0454	483.0	1932	4.9699
0.0454	484.0	1936	4.9288
0.0454	485.0	1940	4.9240
0.0454	486.0	1944	4.9234
0.0454	487.0	1948	4.8900
0.0454	488.0	1952	4.8473
0.0454	489.0	1956	4.8436
0.0454	490.0	1960	4.8088
0.0454	491.0	1964	4.8150
0.0454	492.0	1968	4.8597
0.0454	493.0	1972	4.9484
0.0454	494.0	1976	5.0050
0.0454	495.0	1980	5.0396
0.0454	496.0	1984	5.0637
0.0454	497.0	1988	5.1159
0.0454	498.0	1992	5.1396
0.0454	499.0	1996	5.1471
0.0407	500.0	2000	5.1035
0.0407	501.0	2004	5.0584
0.0407	502.0	2008	4.9539
0.0407	503.0	2012	4.9441
0.0407	504.0	2016	4.9276
0.0407	505.0	2020	4.8531
0.0407	506.0	2024	4.8108
0.0407	507.0	2028	4.8498
0.0407	508.0	2032	4.9049
0.0407	509.0	2036	4.9280
0.0407	510.0	2040	4.9877
0.0407	511.0	2044	5.0298
0.0407	512.0	2048	5.0242
0.0407	513.0	2052	5.0527
0.0407	514.0	2056	5.0737
0.0407	515.0	2060	5.0273
0.0407	516.0	2064	5.0062
0.0407	517.0	2068	4.9734
0.0407	518.0	2072	4.9358
0.0407	519.0	2076	4.8961
0.0407	520.0	2080	4.9400
0.0407	521.0	2084	5.1111
0.0407	522.0	2088	5.2068
0.0407	523.0	2092	5.2041
0.0407	524.0	2096	5.2183
0.0407	525.0	2100	5.1915
0.0407	526.0	2104	5.1545
0.0407	527.0	2108	5.1566
0.0407	528.0	2112	5.0974
0.0407	529.0	2116	5.0369
0.0407	530.0	2120	4.9779
0.0407	531.0	2124	4.9296
0.0407	532.0	2128	4.9215
0.0407	533.0	2132	4.8502
0.0407	534.0	2136	4.7875
0.0407	535.0	2140	4.8296
0.0407	536.0	2144	4.8545
0.0407	537.0	2148	4.9056
0.0407	538.0	2152	4.9042
0.0407	539.0	2156	4.8988
0.0407	540.0	2160	4.9421
0.0407	541.0	2164	5.1713
0.0407	542.0	2168	5.3784
0.0407	543.0	2172	5.4809
0.0407	544.0	2176	5.2030
0.0407	545.0	2180	4.9399
0.0407	546.0	2184	4.8153
0.0407	547.0	2188	4.7644
0.0407	548.0	2192	4.9129
0.0407	549.0	2196	5.0208
0.0407	550.0	2200	5.0472
0.0407	551.0	2204	5.0668
0.0407	552.0	2208	5.1268
0.0407	553.0	2212	5.1510
0.0407	554.0	2216	5.1684
0.0407	555.0	2220	5.1941
0.0407	556.0	2224	5.2002
0.0407	557.0	2228	5.2349
0.0407	558.0	2232	5.3128
0.0407	559.0	2236	5.3327
0.0407	560.0	2240	5.3246
0.0407	561.0	2244	5.3105
0.0407	562.0	2248	5.2986
0.0407	563.0	2252	5.2770
0.0407	564.0	2256	5.2732
0.0407	565.0	2260	5.2398
0.0407	566.0	2264	5.1760
0.0407	567.0	2268	5.1707
0.0407	568.0	2272	5.1668
0.0407	569.0	2276	5.1573
0.0407	570.0	2280	5.1441
0.0407	571.0	2284	5.1200
0.0407	572.0	2288	5.1158
0.0407	573.0	2292	5.0885
0.0407	574.0	2296	4.9964
0.0407	575.0	2300	4.9066
0.0407	576.0	2304	4.8708
0.0407	577.0	2308	4.8626
0.0407	578.0	2312	4.9015
0.0407	579.0	2316	4.9390
0.0407	580.0	2320	5.0095
0.0407	581.0	2324	4.9692
0.0407	582.0	2328	4.9339
0.0407	583.0	2332	4.9220
0.0407	584.0	2336	4.9072
0.0407	585.0	2340	4.8964
0.0407	586.0	2344	4.8976
0.0407	587.0	2348	4.8854
0.0407	588.0	2352	4.8841
0.0407	589.0	2356	4.9060
0.0407	590.0	2360	4.7965
0.0407	591.0	2364	4.7061
0.0407	592.0	2368	4.9457
0.0407	593.0	2372	5.1134
0.0407	594.0	2376	5.2452
0.0407	595.0	2380	5.3102
0.0407	596.0	2384	5.2999
0.0407	597.0	2388	5.2474
0.0407	598.0	2392	5.2254
0.0407	599.0	2396	5.2200
0.0407	600.0	2400	5.2720
0.0407	601.0	2404	5.3104
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0.0407	603.0	2412	5.1512
0.0407	604.0	2416	5.1395
0.0407	605.0	2420	5.3363
0.0407	606.0	2424	5.4608
0.0407	607.0	2428	5.3397
0.0407	608.0	2432	5.2002
0.0407	609.0	2436	5.0751
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0.0407	614.0	2456	5.1091
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0.0407	616.0	2464	5.0879
0.0407	617.0	2468	5.0106
0.0407	618.0	2472	4.9172
0.0407	619.0	2476	4.8561
0.0407	620.0	2480	4.7843
0.0407	621.0	2484	4.8395
0.0407	622.0	2488	5.0193
0.0407	623.0	2492	5.1953
0.0407	624.0	2496	5.2802
0.0393	625.0	2500	5.2564
0.0393	626.0	2504	5.2122
0.0393	627.0	2508	5.1711
0.0393	628.0	2512	5.0698
0.0393	629.0	2516	5.0114
0.0393	630.0	2520	4.9302
0.0393	631.0	2524	4.8418
0.0393	632.0	2528	4.7550
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0.0393	654.0	2616	5.0251
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0.0393	660.0	2640	4.9474
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0.0393	664.0	2656	5.0028
0.0393	665.0	2660	5.0706
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0.0393	686.0	2744	4.9496
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0.0393	700.0	2800	4.6410
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0.0393	725.0	2900	4.4801
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0.0393	731.0	2924	4.7563
0.0393	732.0	2928	4.7302
0.0393	733.0	2932	4.6990
0.0393	734.0	2936	4.6923
0.0393	735.0	2940	4.7698
0.0393	736.0	2944	4.9591
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0.0391	750.0	3000	4.7593
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0.0386	920.0	3680	4.8015
0.0386	921.0	3684	4.7962
0.0386	922.0	3688	4.8000
0.0386	923.0	3692	4.8089
0.0386	924.0	3696	4.8148
0.0386	925.0	3700	4.8149
0.0386	926.0	3704	4.8118
0.0386	927.0	3708	4.8023
0.0386	928.0	3712	4.7998
0.0386	929.0	3716	4.7970
0.0386	930.0	3720	4.8005
0.0386	931.0	3724	4.8020
0.0386	932.0	3728	4.8069
0.0386	933.0	3732	4.8012
0.0386	934.0	3736	4.7955
0.0386	935.0	3740	4.7938
0.0386	936.0	3744	4.7999
0.0386	937.0	3748	4.8087
0.0386	938.0	3752	4.8182
0.0386	939.0	3756	4.8222
0.0386	940.0	3760	4.8260
0.0386	941.0	3764	4.8304
0.0386	942.0	3768	4.8271
0.0386	943.0	3772	4.8224
0.0386	944.0	3776	4.8256
0.0386	945.0	3780	4.8229
0.0386	946.0	3784	4.8212
0.0386	947.0	3788	4.8231
0.0386	948.0	3792	4.8155
0.0386	949.0	3796	4.8083
0.0386	950.0	3800	4.8066
0.0386	951.0	3804	4.8042
0.0386	952.0	3808	4.8019
0.0386	953.0	3812	4.7903
0.0386	954.0	3816	4.7801
0.0386	955.0	3820	4.7757
0.0386	956.0	3824	4.7751
0.0386	957.0	3828	4.7785
0.0386	958.0	3832	4.7756
0.0386	959.0	3836	4.7751
0.0386	960.0	3840	4.7755
0.0386	961.0	3844	4.7803
0.0386	962.0	3848	4.7813
0.0386	963.0	3852	4.7838
0.0386	964.0	3856	4.7803
0.0386	965.0	3860	4.7762
0.0386	966.0	3864	4.7725
0.0386	967.0	3868	4.7669
0.0386	968.0	3872	4.7620
0.0386	969.0	3876	4.7586
0.0386	970.0	3880	4.7542
0.0386	971.0	3884	4.7532
0.0386	972.0	3888	4.7501
0.0386	973.0	3892	4.7449
0.0386	974.0	3896	4.7427
0.0386	975.0	3900	4.7397
0.0386	976.0	3904	4.7364
0.0386	977.0	3908	4.7333
0.0386	978.0	3912	4.7282
0.0386	979.0	3916	4.7266
0.0386	980.0	3920	4.7242
0.0386	981.0	3924	4.7223
0.0386	982.0	3928	4.7197
0.0386	983.0	3932	4.7180
0.0386	984.0	3936	4.7125
0.0386	985.0	3940	4.7095
0.0386	986.0	3944	4.7072
0.0386	987.0	3948	4.7062
0.0386	988.0	3952	4.7048
0.0386	989.0	3956	4.7027
0.0386	990.0	3960	4.7016
0.0386	991.0	3964	4.7008
0.0386	992.0	3968	4.7007
0.0386	993.0	3972	4.7002
0.0386	994.0	3976	4.6997
0.0386	995.0	3980	4.7000
0.0386	996.0	3984	4.7000
0.0386	997.0	3988	4.7003
0.0386	998.0	3992	4.7004
0.0386	999.0	3996	4.7005
0.0383	1000.0	4000	4.7005

Framework versions

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