Training Loss	Epoch	Step	Validation Loss
No log	1.0	15	4.2802
No log	2.0	30	3.7154
No log	3.0	45	3.3522
No log	4.0	60	3.1851
No log	5.0	75	3.2501
No log	6.0	90	3.2850
No log	7.0	105	3.3280
No log	8.0	120	3.6318
No log	9.0	135	3.7543
No log	10.0	150	4.3016
No log	11.0	165	3.8703
No log	12.0	180	4.2878
No log	13.0	195	4.8056
No log	14.0	210	4.3522
No log	15.0	225	4.3829
No log	16.0	240	4.7085
No log	17.0	255	4.6716
No log	18.0	270	5.0584
No log	19.0	285	4.7357
No log	20.0	300	5.1468
No log	21.0	315	4.8756
No log	22.0	330	5.0296
No log	23.0	345	5.2103
No log	24.0	360	5.0322
No log	25.0	375	5.1817
No log	26.0	390	4.7048
No log	27.0	405	5.3785
No log	28.0	420	5.0468
No log	29.0	435	4.9959
No log	30.0	450	5.0253
No log	31.0	465	4.9340
No log	32.0	480	5.4793
No log	33.0	495	6.1843
1.596	34.0	510	5.1587
1.596	35.0	525	5.0524
1.596	36.0	540	5.5337
1.596	37.0	555	5.8211
1.596	38.0	570	5.6915
1.596	39.0	585	5.9102
1.596	40.0	600	5.9698
1.596	41.0	615	5.1263
1.596	42.0	630	5.5208
1.596	43.0	645	5.6710
1.596	44.0	660	5.1445
1.596	45.0	675	5.2179
1.596	46.0	690	5.5998
1.596	47.0	705	4.8225
1.596	48.0	720	4.9031
1.596	49.0	735	5.7637
1.596	50.0	750	5.8341
1.596	51.0	765	5.3194
1.596	52.0	780	4.9238
1.596	53.0	795	6.0844
1.596	54.0	810	6.0226
1.596	55.0	825	5.4530
1.596	56.0	840	5.8518
1.596	57.0	855	5.5276
1.596	58.0	870	5.7080
1.596	59.0	885	5.5822
1.596	60.0	900	5.5140
1.596	61.0	915	5.8640
1.596	62.0	930	5.6643
1.596	63.0	945	5.6177
1.596	64.0	960	5.4889
1.596	65.0	975	4.7846
1.596	66.0	990	5.2998
0.5633	67.0	1005	5.9801
0.5633	68.0	1020	5.9973
0.5633	69.0	1035	4.7668
0.5633	70.0	1050	6.3755
0.5633	71.0	1065	5.0079
0.5633	72.0	1080	5.7451
0.5633	73.0	1095	5.8147
0.5633	74.0	1110	5.2823
0.5633	75.0	1125	5.5714
0.5633	76.0	1140	5.2161
0.5633	77.0	1155	5.6389
0.5633	78.0	1170	5.3227
0.5633	79.0	1185	5.5756
0.5633	80.0	1200	5.1622
0.5633	81.0	1215	6.1102
0.5633	82.0	1230	5.7052
0.5633	83.0	1245	5.7478
0.5633	84.0	1260	5.8483
0.5633	85.0	1275	6.1151
0.5633	86.0	1290	5.4676
0.5633	87.0	1305	5.5661
0.5633	88.0	1320	5.6595
0.5633	89.0	1335	5.3687
0.5633	90.0	1350	6.3685
0.5633	91.0	1365	5.8810
0.5633	92.0	1380	5.5489
0.5633	93.0	1395	5.7233
0.5633	94.0	1410	5.5228
0.5633	95.0	1425	5.8619
0.5633	96.0	1440	5.6161
0.5633	97.0	1455	5.8504
0.5633	98.0	1470	5.0481
0.5633	99.0	1485	5.7114
0.5349	100.0	1500	5.6384
0.5349	101.0	1515	5.5236
0.5349	102.0	1530	5.3619
0.5349	103.0	1545	5.7558
0.5349	104.0	1560	5.7468
0.5349	105.0	1575	5.3256
0.5349	106.0	1590	5.2173
0.5349	107.0	1605	5.7747
0.5349	108.0	1620	6.0690
0.5349	109.0	1635	6.1016
0.5349	110.0	1650	5.8788
0.5349	111.0	1665	5.2126
0.5349	112.0	1680	6.3826
0.5349	113.0	1695	5.7411
0.5349	114.0	1710	5.7445
0.5349	115.0	1725	5.7091
0.5349	116.0	1740	5.9555
0.5349	117.0	1755	5.7303
0.5349	118.0	1770	5.7165
0.5349	119.0	1785	6.0920
0.5349	120.0	1800	5.6326
0.5349	121.0	1815	5.4060
0.5349	122.0	1830	5.6788
0.5349	123.0	1845	5.8784
0.5349	124.0	1860	5.6766
0.5349	125.0	1875	5.8424
0.5349	126.0	1890	6.0594
0.5349	127.0	1905	5.7266
0.5349	128.0	1920	5.9523
0.5349	129.0	1935	5.9871
0.5349	130.0	1950	5.9509
0.5349	131.0	1965	5.7029
0.5349	132.0	1980	5.4023
0.5349	133.0	1995	5.4104
0.5264	134.0	2010	5.5620
0.5264	135.0	2025	6.0997
0.5264	136.0	2040	5.3650
0.5264	137.0	2055	5.5148
0.5264	138.0	2070	5.5836
0.5264	139.0	2085	5.8000
0.5264	140.0	2100	5.9077
0.5264	141.0	2115	5.5711
0.5264	142.0	2130	5.9320
0.5264	143.0	2145	5.7090
0.5264	144.0	2160	6.1850
0.5264	145.0	2175	5.5036
0.5264	146.0	2190	5.9013
0.5264	147.0	2205	5.6170
0.5264	148.0	2220	5.6846
0.5264	149.0	2235	5.7172
0.5264	150.0	2250	5.2512
0.5264	151.0	2265	5.9214
0.5264	152.0	2280	6.0195
0.5264	153.0	2295	5.5023
0.5264	154.0	2310	6.0375
0.5264	155.0	2325	5.8024
0.5264	156.0	2340	5.3949
0.5264	157.0	2355	5.8969
0.5264	158.0	2370	5.5336
0.5264	159.0	2385	5.7178
0.5264	160.0	2400	5.7103
0.5264	161.0	2415	5.7710
0.5264	162.0	2430	5.6648
0.5264	163.0	2445	5.8576
0.5264	164.0	2460	6.1288
0.5264	165.0	2475	5.7238
0.5264	166.0	2490	5.5287
0.5195	167.0	2505	5.6017
0.5195	168.0	2520	5.9247
0.5195	169.0	2535	5.2459
0.5195	170.0	2550	4.9000
0.5195	171.0	2565	6.0519
0.5195	172.0	2580	5.6703
0.5195	173.0	2595	5.2810
0.5195	174.0	2610	5.5837
0.5195	175.0	2625	5.3091
0.5195	176.0	2640	5.9656
0.5195	177.0	2655	5.4225
0.5195	178.0	2670	5.8214
0.5195	179.0	2685	5.6031
0.5195	180.0	2700	5.6845
0.5195	181.0	2715	5.7010
0.5195	182.0	2730	5.5270
0.5195	183.0	2745	5.7257
0.5195	184.0	2760	5.8231
0.5195	185.0	2775	5.3649
0.5195	186.0	2790	5.1910
0.5195	187.0	2805	6.4315
0.5195	188.0	2820	5.3515
0.5195	189.0	2835	5.6112
0.5195	190.0	2850	5.7050
0.5195	191.0	2865	5.9199
0.5195	192.0	2880	5.5780
0.5195	193.0	2895	5.9634
0.5195	194.0	2910	5.8110
0.5195	195.0	2925	5.3219
0.5195	196.0	2940	5.8609
0.5195	197.0	2955	5.9667
0.5195	198.0	2970	5.5135
0.5195	199.0	2985	5.6226
0.5193	200.0	3000	6.4493
0.5193	201.0	3015	5.8886
0.5193	202.0	3030	6.2204
0.5193	203.0	3045	6.1258
0.5193	204.0	3060	6.7706
0.5193	205.0	3075	5.4771
0.5193	206.0	3090	5.4281
0.5193	207.0	3105	5.9428
0.5193	208.0	3120	6.0833
0.5193	209.0	3135	5.8120
0.5193	210.0	3150	5.8221
0.5193	211.0	3165	5.7900
0.5193	212.0	3180	6.0227
0.5193	213.0	3195	5.8832
0.5193	214.0	3210	5.9428
0.5193	215.0	3225	5.9005
0.5193	216.0	3240	6.3240
0.5193	217.0	3255	5.9263
0.5193	218.0	3270	6.1286
0.5193	219.0	3285	5.9537
0.5193	220.0	3300	6.0225
0.5193	221.0	3315	6.1369
0.5193	222.0	3330	5.8760
0.5193	223.0	3345	5.6678
0.5193	224.0	3360	6.0776
0.5193	225.0	3375	5.8525
0.5193	226.0	3390	5.5731
0.5193	227.0	3405	5.6012
0.5193	228.0	3420	5.5194
0.5193	229.0	3435	5.7439
0.5193	230.0	3450	6.4461
0.5193	231.0	3465	5.9264
0.5193	232.0	3480	5.6437
0.5193	233.0	3495	5.8232
0.5139	234.0	3510	5.1288
0.5139	235.0	3525	5.9016
0.5139	236.0	3540	5.5696
0.5139	237.0	3555	5.5781
0.5139	238.0	3570	5.7123
0.5139	239.0	3585	6.0707
0.5139	240.0	3600	5.7441
0.5139	241.0	3615	5.3231
0.5139	242.0	3630	6.0482
0.5139	243.0	3645	5.5813
0.5139	244.0	3660	5.3146
0.5139	245.0	3675	5.5574
0.5139	246.0	3690	6.0959
0.5139	247.0	3705	6.1376
0.5139	248.0	3720	5.9978
0.5139	249.0	3735	5.5388
0.5139	250.0	3750	5.9085
0.5139	251.0	3765	6.0335
0.5139	252.0	3780	5.8727
0.5139	253.0	3795	5.9255
0.5139	254.0	3810	5.5959
0.5139	255.0	3825	5.7012
0.5139	256.0	3840	5.9298
0.5139	257.0	3855	5.6850
0.5139	258.0	3870	6.0047
0.5139	259.0	3885	5.8456
0.5139	260.0	3900	5.6115
0.5139	261.0	3915	5.6565
0.5139	262.0	3930	5.9078
0.5139	263.0	3945	6.0343
0.5139	264.0	3960	6.0636
0.5139	265.0	3975	5.5921
0.5139	266.0	3990	5.6732
0.5109	267.0	4005	5.8577
0.5109	268.0	4020	6.0701
0.5109	269.0	4035	5.8036
0.5109	270.0	4050	5.7711
0.5109	271.0	4065	5.3008
0.5109	272.0	4080	5.7960
0.5109	273.0	4095	6.0838
0.5109	274.0	4110	5.6801
0.5109	275.0	4125	5.5957
0.5109	276.0	4140	5.7777
0.5109	277.0	4155	5.6115
0.5109	278.0	4170	5.5527
0.5109	279.0	4185	5.5709
0.5109	280.0	4200	5.8705
0.5109	281.0	4215	6.0007
0.5109	282.0	4230	5.9754
0.5109	283.0	4245	5.6537
0.5109	284.0	4260	5.7127
0.5109	285.0	4275	5.5221
0.5109	286.0	4290	6.0339
0.5109	287.0	4305	6.0085
0.5109	288.0	4320	6.0363
0.5109	289.0	4335	6.2661
0.5109	290.0	4350	6.3055
0.5109	291.0	4365	5.6804
0.5109	292.0	4380	5.5251
0.5109	293.0	4395	6.2547
0.5109	294.0	4410	6.0599
0.5109	295.0	4425	5.7020
0.5109	296.0	4440	5.6223
0.5109	297.0	4455	5.6583
0.5109	298.0	4470	6.1789
0.5109	299.0	4485	5.6570
0.5093	300.0	4500	5.8013
0.5093	301.0	4515	6.1538
0.5093	302.0	4530	5.9583
0.5093	303.0	4545	6.2696
0.5093	304.0	4560	6.1199
0.5093	305.0	4575	5.9642
0.5093	306.0	4590	6.1306
0.5093	307.0	4605	6.3966
0.5093	308.0	4620	5.7734
0.5093	309.0	4635	5.3626
0.5093	310.0	4650	5.7926
0.5093	311.0	4665	5.8222
0.5093	312.0	4680	5.3306
0.5093	313.0	4695	5.9338
0.5093	314.0	4710	5.5815
0.5093	315.0	4725	5.7575
0.5093	316.0	4740	5.8059
0.5093	317.0	4755	5.7048
0.5093	318.0	4770	5.9855
0.5093	319.0	4785	5.6925
0.5093	320.0	4800	5.8475
0.5093	321.0	4815	5.6688
0.5093	322.0	4830	6.1724
0.5093	323.0	4845	6.0864
0.5093	324.0	4860	6.6107
0.5093	325.0	4875	5.8224
0.5093	326.0	4890	5.5894
0.5093	327.0	4905	5.5998
0.5093	328.0	4920	5.6845
0.5093	329.0	4935	5.6556
0.5093	330.0	4950	5.5943
0.5093	331.0	4965	5.4699
0.5093	332.0	4980	5.5450
0.5093	333.0	4995	5.7648
0.5066	334.0	5010	5.6220
0.5066	335.0	5025	5.6141
0.5066	336.0	5040	5.6268
0.5066	337.0	5055	5.6531
0.5066	338.0	5070	5.8832
0.5066	339.0	5085	5.4220
0.5066	340.0	5100	5.1989
0.5066	341.0	5115	5.3016
0.5066	342.0	5130	5.3583
0.5066	343.0	5145	5.8568
0.5066	344.0	5160	5.9605
0.5066	345.0	5175	5.3400
0.5066	346.0	5190	5.2040
0.5066	347.0	5205	5.3998
0.5066	348.0	5220	5.3674
0.5066	349.0	5235	5.2871
0.5066	350.0	5250	5.2838
0.5066	351.0	5265	5.6324
0.5066	352.0	5280	5.7317
0.5066	353.0	5295	5.7358
0.5066	354.0	5310	6.3489
0.5066	355.0	5325	6.1955
0.5066	356.0	5340	5.5693
0.5066	357.0	5355	6.1189
0.5066	358.0	5370	6.3337
0.5066	359.0	5385	6.1426
0.5066	360.0	5400	5.7884
0.5066	361.0	5415	5.7924
0.5066	362.0	5430	6.5145
0.5066	363.0	5445	6.0506
0.5066	364.0	5460	5.4567
0.5066	365.0	5475	5.5201
0.5066	366.0	5490	5.8795
0.5031	367.0	5505	6.0708
0.5031	368.0	5520	6.0388
0.5031	369.0	5535	6.0816
0.5031	370.0	5550	6.0414
0.5031	371.0	5565	6.2334
0.5031	372.0	5580	6.1876
0.5031	373.0	5595	6.2060
0.5031	374.0	5610	5.5349
0.5031	375.0	5625	5.2088
0.5031	376.0	5640	6.1013
0.5031	377.0	5655	6.4536
0.5031	378.0	5670	6.4810
0.5031	379.0	5685	6.0705
0.5031	380.0	5700	6.0979
0.5031	381.0	5715	6.3676
0.5031	382.0	5730	6.3337
0.5031	383.0	5745	5.5269
0.5031	384.0	5760	5.7314
0.5031	385.0	5775	6.0460
0.5031	386.0	5790	5.8529
0.5031	387.0	5805	6.1075
0.5031	388.0	5820	5.9149
0.5031	389.0	5835	6.2186
0.5031	390.0	5850	6.4095
0.5031	391.0	5865	6.1325
0.5031	392.0	5880	6.1227
0.5031	393.0	5895	6.2010
0.5031	394.0	5910	6.0830
0.5031	395.0	5925	5.7398
0.5031	396.0	5940	6.2133
0.5031	397.0	5955	6.1547
0.5031	398.0	5970	6.1237
0.5031	399.0	5985	5.4353
0.5031	400.0	6000	5.9380
0.5031	401.0	6015	6.1454
0.5031	402.0	6030	6.4970
0.5031	403.0	6045	5.9320
0.5031	404.0	6060	5.9068
0.5031	405.0	6075	6.0897
0.5031	406.0	6090	6.0318
0.5031	407.0	6105	6.0466
0.5031	408.0	6120	5.9770
0.5031	409.0	6135	6.0131
0.5031	410.0	6150	5.9954
0.5031	411.0	6165	6.0157
0.5031	412.0	6180	6.1885
0.5031	413.0	6195	6.4212
0.5031	414.0	6210	6.1867
0.5031	415.0	6225	5.6654
0.5031	416.0	6240	5.6043
0.5031	417.0	6255	5.4872
0.5031	418.0	6270	6.3064
0.5031	419.0	6285	6.0645
0.5031	420.0	6300	5.6637
0.5031	421.0	6315	6.3704
0.5031	422.0	6330	6.6235
0.5031	423.0	6345	5.8075
0.5031	424.0	6360	6.0819
0.5031	425.0	6375	6.2829
0.5031	426.0	6390	6.1487
0.5031	427.0	6405	5.9955
0.5031	428.0	6420	5.8654
0.5031	429.0	6435	5.7717
0.5031	430.0	6450	5.8261
0.5031	431.0	6465	5.9463
0.5031	432.0	6480	6.1745
0.5031	433.0	6495	6.3168
0.4996	434.0	6510	6.0862
0.4996	435.0	6525	5.8837
0.4996	436.0	6540	6.0686
0.4996	437.0	6555	5.8562
0.4996	438.0	6570	5.8882
0.4996	439.0	6585	5.8045
0.4996	440.0	6600	5.8444
0.4996	441.0	6615	5.8087
0.4996	442.0	6630	5.8894
0.4996	443.0	6645	6.0462
0.4996	444.0	6660	5.9606
0.4996	445.0	6675	5.9412
0.4996	446.0	6690	5.8069
0.4996	447.0	6705	5.7075
0.4996	448.0	6720	6.1192
0.4996	449.0	6735	6.1148
0.4996	450.0	6750	5.7958
0.4996	451.0	6765	5.6836
0.4996	452.0	6780	5.7982
0.4996	453.0	6795	5.9294
0.4996	454.0	6810	6.1140
0.4996	455.0	6825	6.0729
0.4996	456.0	6840	5.6872
0.4996	457.0	6855	5.6784
0.4996	458.0	6870	5.6630
0.4996	459.0	6885	5.9257
0.4996	460.0	6900	5.6966
0.4996	461.0	6915	5.6496
0.4996	462.0	6930	5.7952
0.4996	463.0	6945	5.6782
0.4996	464.0	6960	5.5714
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0.4968	467.0	7005	6.1047
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0.4968	471.0	7065	5.9088
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0.4974	534.0	8010	6.4045
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0.4974	541.0	8115	5.9317
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0.4974	552.0	8280	6.0248
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0.4934	914.0	13710	6.0610
0.4934	915.0	13725	6.0537
0.4934	916.0	13740	6.0610
0.4934	917.0	13755	6.0624
0.4934	918.0	13770	6.1961
0.4934	919.0	13785	6.2162
0.4934	920.0	13800	6.1777
0.4934	921.0	13815	6.1869
0.4934	922.0	13830	6.1959
0.4934	923.0	13845	6.1879
0.4934	924.0	13860	6.1897
0.4934	925.0	13875	6.1866
0.4934	926.0	13890	6.2063
0.4934	927.0	13905	6.1762
0.4934	928.0	13920	6.1505
0.4934	929.0	13935	6.1540
0.4934	930.0	13950	6.1450
0.4934	931.0	13965	6.1159
0.4934	932.0	13980	6.0974
0.4934	933.0	13995	6.0841
0.493	934.0	14010	6.0517
0.493	935.0	14025	6.0592
0.493	936.0	14040	6.1202
0.493	937.0	14055	6.2054
0.493	938.0	14070	6.0649
0.493	939.0	14085	6.0965
0.493	940.0	14100	6.1330
0.493	941.0	14115	6.1482
0.493	942.0	14130	6.1395
0.493	943.0	14145	6.1300
0.493	944.0	14160	6.1502
0.493	945.0	14175	6.1676
0.493	946.0	14190	6.1755
0.493	947.0	14205	6.1843
0.493	948.0	14220	6.1804
0.493	949.0	14235	6.1887
0.493	950.0	14250	6.1753
0.493	951.0	14265	6.1592
0.493	952.0	14280	6.1632
0.493	953.0	14295	6.1543
0.493	954.0	14310	6.1456
0.493	955.0	14325	6.1337
0.493	956.0	14340	6.1365
0.493	957.0	14355	6.1428
0.493	958.0	14370	6.1398
0.493	959.0	14385	6.1532
0.493	960.0	14400	6.1647
0.493	961.0	14415	6.1766
0.493	962.0	14430	6.1707
0.493	963.0	14445	6.1755
0.493	964.0	14460	6.2011
0.493	965.0	14475	6.1982
0.493	966.0	14490	6.1905
0.4928	967.0	14505	6.1771
0.4928	968.0	14520	6.1750
0.4928	969.0	14535	6.1667
0.4928	970.0	14550	6.1648
0.4928	971.0	14565	6.1694
0.4928	972.0	14580	6.1655
0.4928	973.0	14595	6.1621
0.4928	974.0	14610	6.1627
0.4928	975.0	14625	6.1310
0.4928	976.0	14640	6.1053
0.4928	977.0	14655	6.1005
0.4928	978.0	14670	6.1062
0.4928	979.0	14685	6.1128
0.4928	980.0	14700	6.1182
0.4928	981.0	14715	6.1219
0.4928	982.0	14730	6.1211
0.4928	983.0	14745	6.1231
0.4928	984.0	14760	6.1125
0.4928	985.0	14775	6.1062
0.4928	986.0	14790	6.1035
0.4928	987.0	14805	6.1000
0.4928	988.0	14820	6.1014
0.4928	989.0	14835	6.0975
0.4928	990.0	14850	6.0976
0.4928	991.0	14865	6.0953
0.4928	992.0	14880	6.0926
0.4928	993.0	14895	6.0896
0.4928	994.0	14910	6.0883
0.4928	995.0	14925	6.0889
0.4928	996.0	14940	6.0887
0.4928	997.0	14955	6.0894
0.4928	998.0	14970	6.0892
0.4928	999.0	14985	6.0904
0.4942	1000.0	15000	6.0905

Framework versions

Transformers 4.36.2
Pytorch 2.1.2+cu121
Datasets 2.14.7
Tokenizers 0.15.0

farid1088/Legal_QA_BERT_augmented_1000

Legal_QA_BERT_augmented_1000

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

farid1088/
Legal_QA_BERT_augmented_1000