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GQA_BERT_German_legal_SQuAD_1000

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

  • Loss: 1.1558

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 2 5.4106
No log 2.0 4 4.3760
No log 3.0 6 3.8386
No log 4.0 8 3.4019
No log 5.0 10 2.9920
No log 6.0 12 2.6213
No log 7.0 14 2.2878
No log 8.0 16 2.0208
No log 9.0 18 1.7822
No log 10.0 20 1.5722
No log 11.0 22 1.4058
No log 12.0 24 1.2577
No log 13.0 26 1.1312
No log 14.0 28 1.0551
No log 15.0 30 0.9930
No log 16.0 32 0.9489
No log 17.0 34 0.9143
No log 18.0 36 0.9072
No log 19.0 38 0.9140
No log 20.0 40 0.8989
No log 21.0 42 0.8953
No log 22.0 44 0.9172
No log 23.0 46 0.9546
No log 24.0 48 0.9681
No log 25.0 50 0.9606
No log 26.0 52 0.9408
No log 27.0 54 0.9250
No log 28.0 56 0.9220
No log 29.0 58 0.9373
No log 30.0 60 0.9668
No log 31.0 62 0.9668
No log 32.0 64 0.9594
No log 33.0 66 0.9573
No log 34.0 68 0.9488
No log 35.0 70 0.9749
No log 36.0 72 1.0145
No log 37.0 74 1.0467
No log 38.0 76 1.0828
No log 39.0 78 1.1090
No log 40.0 80 1.1043
No log 41.0 82 1.0685
No log 42.0 84 1.0280
No log 43.0 86 1.0371
No log 44.0 88 1.0636
No log 45.0 90 1.0904
No log 46.0 92 1.1224
No log 47.0 94 1.1243
No log 48.0 96 1.0905
No log 49.0 98 1.0289
No log 50.0 100 0.9908
No log 51.0 102 0.9714
No log 52.0 104 0.9660
No log 53.0 106 1.0100
No log 54.0 108 1.0633
No log 55.0 110 1.1044
No log 56.0 112 1.1235
No log 57.0 114 1.1014
No log 58.0 116 1.0543
No log 59.0 118 0.9955
No log 60.0 120 0.9773
No log 61.0 122 0.9870
No log 62.0 124 1.0294
No log 63.0 126 1.0576
No log 64.0 128 1.0765
No log 65.0 130 1.0864
No log 66.0 132 1.0997
No log 67.0 134 1.1052
No log 68.0 136 1.1019
No log 69.0 138 1.0971
No log 70.0 140 1.1070
No log 71.0 142 1.1038
No log 72.0 144 1.0788
No log 73.0 146 1.0475
No log 74.0 148 1.0148
No log 75.0 150 1.0116
No log 76.0 152 1.0157
No log 77.0 154 1.0376
No log 78.0 156 1.0504
No log 79.0 158 1.0475
No log 80.0 160 1.0556
No log 81.0 162 1.0530
No log 82.0 164 1.0458
No log 83.0 166 1.0454
No log 84.0 168 1.0656
No log 85.0 170 1.0833
No log 86.0 172 1.0923
No log 87.0 174 1.0911
No log 88.0 176 1.0803
No log 89.0 178 1.0575
No log 90.0 180 1.0371
No log 91.0 182 1.0352
No log 92.0 184 1.0508
No log 93.0 186 1.0546
No log 94.0 188 1.0625
No log 95.0 190 1.0561
No log 96.0 192 1.0366
No log 97.0 194 1.0265
No log 98.0 196 1.0286
No log 99.0 198 1.0448
No log 100.0 200 1.0689
No log 101.0 202 1.0835
No log 102.0 204 1.0967
No log 103.0 206 1.0810
No log 104.0 208 1.0710
No log 105.0 210 1.0538
No log 106.0 212 1.0512
No log 107.0 214 1.0539
No log 108.0 216 1.0535
No log 109.0 218 1.0397
No log 110.0 220 1.0360
No log 111.0 222 1.0479
No log 112.0 224 1.0558
No log 113.0 226 1.0525
No log 114.0 228 1.0513
No log 115.0 230 1.0679
No log 116.0 232 1.0945
No log 117.0 234 1.1037
No log 118.0 236 1.1158
No log 119.0 238 1.1081
No log 120.0 240 1.0973
No log 121.0 242 1.0947
No log 122.0 244 1.0866
No log 123.0 246 1.0766
No log 124.0 248 1.0589
No log 125.0 250 1.0458
No log 126.0 252 1.0648
No log 127.0 254 1.0869
No log 128.0 256 1.0910
No log 129.0 258 1.1066
No log 130.0 260 1.1145
No log 131.0 262 1.1107
No log 132.0 264 1.0802
No log 133.0 266 1.0570
No log 134.0 268 1.0308
No log 135.0 270 1.0149
No log 136.0 272 1.0135
No log 137.0 274 1.0241
No log 138.0 276 1.0311
No log 139.0 278 1.0378
No log 140.0 280 1.0421
No log 141.0 282 1.0554
No log 142.0 284 1.0694
No log 143.0 286 1.0856
No log 144.0 288 1.1031
No log 145.0 290 1.1157
No log 146.0 292 1.1055
No log 147.0 294 1.1045
No log 148.0 296 1.1188
No log 149.0 298 1.1268
No log 150.0 300 1.1195
No log 151.0 302 1.1045
No log 152.0 304 1.0963
No log 153.0 306 1.1043
No log 154.0 308 1.1261
No log 155.0 310 1.1431
No log 156.0 312 1.1466
No log 157.0 314 1.1403
No log 158.0 316 1.1290
No log 159.0 318 1.1105
No log 160.0 320 1.1132
No log 161.0 322 1.1144
No log 162.0 324 1.1061
No log 163.0 326 1.0910
No log 164.0 328 1.0748
No log 165.0 330 1.0729
No log 166.0 332 1.0814
No log 167.0 334 1.0908
No log 168.0 336 1.1036
No log 169.0 338 1.1271
No log 170.0 340 1.1464
No log 171.0 342 1.1583
No log 172.0 344 1.1672
No log 173.0 346 1.1624
No log 174.0 348 1.1390
No log 175.0 350 1.0843
No log 176.0 352 1.0204
No log 177.0 354 0.9874
No log 178.0 356 0.9719
No log 179.0 358 0.9721
No log 180.0 360 0.9863
No log 181.0 362 1.0094
No log 182.0 364 1.0308
No log 183.0 366 1.0536
No log 184.0 368 1.0748
No log 185.0 370 1.1033
No log 186.0 372 1.1211
No log 187.0 374 1.1360
No log 188.0 376 1.1434
No log 189.0 378 1.1329
No log 190.0 380 1.1048
No log 191.0 382 1.0957
No log 192.0 384 1.0780
No log 193.0 386 1.0572
No log 194.0 388 1.0435
No log 195.0 390 1.0419
No log 196.0 392 1.0610
No log 197.0 394 1.1001
No log 198.0 396 1.1431
No log 199.0 398 1.1635
No log 200.0 400 1.1661
No log 201.0 402 1.1578
No log 202.0 404 1.1336
No log 203.0 406 1.1108
No log 204.0 408 1.0950
No log 205.0 410 1.0849
No log 206.0 412 1.1056
No log 207.0 414 1.1499
No log 208.0 416 1.1823
No log 209.0 418 1.1833
No log 210.0 420 1.1882
No log 211.0 422 1.1736
No log 212.0 424 1.1444
No log 213.0 426 1.1162
No log 214.0 428 1.0816
No log 215.0 430 1.0608
No log 216.0 432 1.0649
No log 217.0 434 1.0604
No log 218.0 436 1.0702
No log 219.0 438 1.0816
No log 220.0 440 1.1474
No log 221.0 442 1.2056
No log 222.0 444 1.2090
No log 223.0 446 1.2152
No log 224.0 448 1.1864
No log 225.0 450 1.1459
No log 226.0 452 1.1150
No log 227.0 454 1.0951
No log 228.0 456 1.0857
No log 229.0 458 1.0874
No log 230.0 460 1.0987
No log 231.0 462 1.1011
No log 232.0 464 1.1062
No log 233.0 466 1.1090
No log 234.0 468 1.1189
No log 235.0 470 1.1138
No log 236.0 472 1.1205
No log 237.0 474 1.1330
No log 238.0 476 1.1338
No log 239.0 478 1.1135
No log 240.0 480 1.0886
No log 241.0 482 1.0845
No log 242.0 484 1.0747
No log 243.0 486 1.0677
No log 244.0 488 1.0824
No log 245.0 490 1.1008
No log 246.0 492 1.1007
No log 247.0 494 1.0848
No log 248.0 496 1.0728
No log 249.0 498 1.0585
0.5922 250.0 500 1.0618
0.5922 251.0 502 1.0591
0.5922 252.0 504 1.0551
0.5922 253.0 506 1.0478
0.5922 254.0 508 1.0385
0.5922 255.0 510 1.0311
0.5922 256.0 512 1.0257
0.5922 257.0 514 1.0259
0.5922 258.0 516 1.0344
0.5922 259.0 518 1.0510
0.5922 260.0 520 1.0796
0.5922 261.0 522 1.0888
0.5922 262.0 524 1.0821
0.5922 263.0 526 1.0778
0.5922 264.0 528 1.0721
0.5922 265.0 530 1.0781
0.5922 266.0 532 1.0865
0.5922 267.0 534 1.0884
0.5922 268.0 536 1.0968
0.5922 269.0 538 1.0962
0.5922 270.0 540 1.0944
0.5922 271.0 542 1.0910
0.5922 272.0 544 1.0936
0.5922 273.0 546 1.1021
0.5922 274.0 548 1.1126
0.5922 275.0 550 1.1259
0.5922 276.0 552 1.1481
0.5922 277.0 554 1.1635
0.5922 278.0 556 1.1696
0.5922 279.0 558 1.1611
0.5922 280.0 560 1.1398
0.5922 281.0 562 1.1147
0.5922 282.0 564 1.0867
0.5922 283.0 566 1.0676
0.5922 284.0 568 1.0555
0.5922 285.0 570 1.0568
0.5922 286.0 572 1.0963
0.5922 287.0 574 1.1409
0.5922 288.0 576 1.1714
0.5922 289.0 578 1.1963
0.5922 290.0 580 1.1997
0.5922 291.0 582 1.1952
0.5922 292.0 584 1.1851
0.5922 293.0 586 1.1829
0.5922 294.0 588 1.1392
0.5922 295.0 590 1.1129
0.5922 296.0 592 1.0964
0.5922 297.0 594 1.0828
0.5922 298.0 596 1.0712
0.5922 299.0 598 1.0590
0.5922 300.0 600 1.0614
0.5922 301.0 602 1.0745
0.5922 302.0 604 1.0848
0.5922 303.0 606 1.0982
0.5922 304.0 608 1.1136
0.5922 305.0 610 1.1167
0.5922 306.0 612 1.1300
0.5922 307.0 614 1.1521
0.5922 308.0 616 1.1617
0.5922 309.0 618 1.1735
0.5922 310.0 620 1.2090
0.5922 311.0 622 1.2318
0.5922 312.0 624 1.2372
0.5922 313.0 626 1.2384
0.5922 314.0 628 1.2275
0.5922 315.0 630 1.2059
0.5922 316.0 632 1.1896
0.5922 317.0 634 1.1617
0.5922 318.0 636 1.1334
0.5922 319.0 638 1.0988
0.5922 320.0 640 1.0666
0.5922 321.0 642 1.0406
0.5922 322.0 644 1.0344
0.5922 323.0 646 1.0627
0.5922 324.0 648 1.1087
0.5922 325.0 650 1.1714
0.5922 326.0 652 1.2168
0.5922 327.0 654 1.2482
0.5922 328.0 656 1.2589
0.5922 329.0 658 1.2538
0.5922 330.0 660 1.2394
0.5922 331.0 662 1.2193
0.5922 332.0 664 1.2064
0.5922 333.0 666 1.1908
0.5922 334.0 668 1.1798
0.5922 335.0 670 1.1761
0.5922 336.0 672 1.1555
0.5922 337.0 674 1.1190
0.5922 338.0 676 1.0968
0.5922 339.0 678 1.0821
0.5922 340.0 680 1.0757
0.5922 341.0 682 1.0722
0.5922 342.0 684 1.0680
0.5922 343.0 686 1.0767
0.5922 344.0 688 1.0917
0.5922 345.0 690 1.1010
0.5922 346.0 692 1.1058
0.5922 347.0 694 1.1119
0.5922 348.0 696 1.1101
0.5922 349.0 698 1.1025
0.5922 350.0 700 1.0941
0.5922 351.0 702 1.0888
0.5922 352.0 704 1.0893
0.5922 353.0 706 1.0921
0.5922 354.0 708 1.0910
0.5922 355.0 710 1.0918
0.5922 356.0 712 1.0813
0.5922 357.0 714 1.0736
0.5922 358.0 716 1.0665
0.5922 359.0 718 1.0583
0.5922 360.0 720 1.0495
0.5922 361.0 722 1.0510
0.5922 362.0 724 1.0829
0.5922 363.0 726 1.1163
0.5922 364.0 728 1.1434
0.5922 365.0 730 1.1611
0.5922 366.0 732 1.1853
0.5922 367.0 734 1.2239
0.5922 368.0 736 1.2532
0.5922 369.0 738 1.2657
0.5922 370.0 740 1.2696
0.5922 371.0 742 1.2609
0.5922 372.0 744 1.2430
0.5922 373.0 746 1.2168
0.5922 374.0 748 1.1824
0.5922 375.0 750 1.1458
0.5922 376.0 752 1.1188
0.5922 377.0 754 1.0995
0.5922 378.0 756 1.0811
0.5922 379.0 758 1.0728
0.5922 380.0 760 1.0652
0.5922 381.0 762 1.0623
0.5922 382.0 764 1.0716
0.5922 383.0 766 1.0931
0.5922 384.0 768 1.1229
0.5922 385.0 770 1.1486
0.5922 386.0 772 1.1675
0.5922 387.0 774 1.1771
0.5922 388.0 776 1.1787
0.5922 389.0 778 1.1776
0.5922 390.0 780 1.1756
0.5922 391.0 782 1.1694
0.5922 392.0 784 1.1624
0.5922 393.0 786 1.1542
0.5922 394.0 788 1.1457
0.5922 395.0 790 1.1370
0.5922 396.0 792 1.1303
0.5922 397.0 794 1.1235
0.5922 398.0 796 1.1197
0.5922 399.0 798 1.1135
0.5922 400.0 800 1.0979
0.5922 401.0 802 1.0835
0.5922 402.0 804 1.0683
0.5922 403.0 806 1.0581
0.5922 404.0 808 1.0560
0.5922 405.0 810 1.0543
0.5922 406.0 812 1.0415
0.5922 407.0 814 1.0341
0.5922 408.0 816 1.0388
0.5922 409.0 818 1.0562
0.5922 410.0 820 1.0838
0.5922 411.0 822 1.1071
0.5922 412.0 824 1.1360
0.5922 413.0 826 1.1538
0.5922 414.0 828 1.1883
0.5922 415.0 830 1.2152
0.5922 416.0 832 1.2398
0.5922 417.0 834 1.2545
0.5922 418.0 836 1.2657
0.5922 419.0 838 1.2691
0.5922 420.0 840 1.2659
0.5922 421.0 842 1.2646
0.5922 422.0 844 1.2581
0.5922 423.0 846 1.2550
0.5922 424.0 848 1.2507
0.5922 425.0 850 1.2459
0.5922 426.0 852 1.2417
0.5922 427.0 854 1.2365
0.5922 428.0 856 1.2300
0.5922 429.0 858 1.2322
0.5922 430.0 860 1.2267
0.5922 431.0 862 1.2199
0.5922 432.0 864 1.2107
0.5922 433.0 866 1.2014
0.5922 434.0 868 1.1949
0.5922 435.0 870 1.1892
0.5922 436.0 872 1.1835
0.5922 437.0 874 1.1756
0.5922 438.0 876 1.1870
0.5922 439.0 878 1.1962
0.5922 440.0 880 1.2069
0.5922 441.0 882 1.2179
0.5922 442.0 884 1.2263
0.5922 443.0 886 1.2368
0.5922 444.0 888 1.2488
0.5922 445.0 890 1.2584
0.5922 446.0 892 1.2676
0.5922 447.0 894 1.2755
0.5922 448.0 896 1.2822
0.5922 449.0 898 1.2887
0.5922 450.0 900 1.2911
0.5922 451.0 902 1.2927
0.5922 452.0 904 1.2964
0.5922 453.0 906 1.2987
0.5922 454.0 908 1.2957
0.5922 455.0 910 1.2944
0.5922 456.0 912 1.2967
0.5922 457.0 914 1.2969
0.5922 458.0 916 1.2902
0.5922 459.0 918 1.2865
0.5922 460.0 920 1.2887
0.5922 461.0 922 1.2904
0.5922 462.0 924 1.2899
0.5922 463.0 926 1.2855
0.5922 464.0 928 1.2820
0.5922 465.0 930 1.2825
0.5922 466.0 932 1.2809
0.5922 467.0 934 1.2778
0.5922 468.0 936 1.2769
0.5922 469.0 938 1.2735
0.5922 470.0 940 1.2757
0.5922 471.0 942 1.2715
0.5922 472.0 944 1.2676
0.5922 473.0 946 1.2573
0.5922 474.0 948 1.2405
0.5922 475.0 950 1.2193
0.5922 476.0 952 1.1999
0.5922 477.0 954 1.2051
0.5922 478.0 956 1.2076
0.5922 479.0 958 1.2045
0.5922 480.0 960 1.2081
0.5922 481.0 962 1.2212
0.5922 482.0 964 1.2311
0.5922 483.0 966 1.2418
0.5922 484.0 968 1.2523
0.5922 485.0 970 1.2580
0.5922 486.0 972 1.2665
0.5922 487.0 974 1.2711
0.5922 488.0 976 1.2739
0.5922 489.0 978 1.2733
0.5922 490.0 980 1.2758
0.5922 491.0 982 1.2794
0.5922 492.0 984 1.2824
0.5922 493.0 986 1.2838
0.5922 494.0 988 1.2825
0.5922 495.0 990 1.2806
0.5922 496.0 992 1.2769
0.5922 497.0 994 1.2743
0.5922 498.0 996 1.2710
0.5922 499.0 998 1.2669
0.4788 500.0 1000 1.2626
0.4788 501.0 1002 1.2605
0.4788 502.0 1004 1.2631
0.4788 503.0 1006 1.2684
0.4788 504.0 1008 1.2724
0.4788 505.0 1010 1.2762
0.4788 506.0 1012 1.2780
0.4788 507.0 1014 1.2761
0.4788 508.0 1016 1.2774
0.4788 509.0 1018 1.2779
0.4788 510.0 1020 1.2758
0.4788 511.0 1022 1.2711
0.4788 512.0 1024 1.2651
0.4788 513.0 1026 1.2606
0.4788 514.0 1028 1.2555
0.4788 515.0 1030 1.2541
0.4788 516.0 1032 1.2496
0.4788 517.0 1034 1.2424
0.4788 518.0 1036 1.2384
0.4788 519.0 1038 1.2381
0.4788 520.0 1040 1.2339
0.4788 521.0 1042 1.2251
0.4788 522.0 1044 1.2169
0.4788 523.0 1046 1.2087
0.4788 524.0 1048 1.1933
0.4788 525.0 1050 1.1792
0.4788 526.0 1052 1.1675
0.4788 527.0 1054 1.1603
0.4788 528.0 1056 1.1544
0.4788 529.0 1058 1.1581
0.4788 530.0 1060 1.1634
0.4788 531.0 1062 1.1674
0.4788 532.0 1064 1.1685
0.4788 533.0 1066 1.1679
0.4788 534.0 1068 1.1698
0.4788 535.0 1070 1.1711
0.4788 536.0 1072 1.1757
0.4788 537.0 1074 1.1768
0.4788 538.0 1076 1.1770
0.4788 539.0 1078 1.1808
0.4788 540.0 1080 1.1843
0.4788 541.0 1082 1.1852
0.4788 542.0 1084 1.1837
0.4788 543.0 1086 1.1842
0.4788 544.0 1088 1.1876
0.4788 545.0 1090 1.1924
0.4788 546.0 1092 1.1955
0.4788 547.0 1094 1.1933
0.4788 548.0 1096 1.1912
0.4788 549.0 1098 1.1906
0.4788 550.0 1100 1.1941
0.4788 551.0 1102 1.2004
0.4788 552.0 1104 1.2083
0.4788 553.0 1106 1.2145
0.4788 554.0 1108 1.2211
0.4788 555.0 1110 1.2300
0.4788 556.0 1112 1.2380
0.4788 557.0 1114 1.2442
0.4788 558.0 1116 1.2496
0.4788 559.0 1118 1.2519
0.4788 560.0 1120 1.2522
0.4788 561.0 1122 1.2500
0.4788 562.0 1124 1.2486
0.4788 563.0 1126 1.2467
0.4788 564.0 1128 1.2455
0.4788 565.0 1130 1.2481
0.4788 566.0 1132 1.2509
0.4788 567.0 1134 1.2543
0.4788 568.0 1136 1.2605
0.4788 569.0 1138 1.2652
0.4788 570.0 1140 1.2669
0.4788 571.0 1142 1.2690
0.4788 572.0 1144 1.2686
0.4788 573.0 1146 1.2666
0.4788 574.0 1148 1.2666
0.4788 575.0 1150 1.2679
0.4788 576.0 1152 1.2674
0.4788 577.0 1154 1.2673
0.4788 578.0 1156 1.2669
0.4788 579.0 1158 1.2662
0.4788 580.0 1160 1.2659
0.4788 581.0 1162 1.2648
0.4788 582.0 1164 1.2595
0.4788 583.0 1166 1.2542
0.4788 584.0 1168 1.2468
0.4788 585.0 1170 1.2374
0.4788 586.0 1172 1.2233
0.4788 587.0 1174 1.2091
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0.4781 914.0 1828 1.1595
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0.4781 916.0 1832 1.1625
0.4781 917.0 1834 1.1632
0.4781 918.0 1836 1.1641
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0.4781 922.0 1844 1.1662
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0.4781 925.0 1850 1.1674
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0.4781 927.0 1854 1.1652
0.4781 928.0 1856 1.1640
0.4781 929.0 1858 1.1632
0.4781 930.0 1860 1.1626
0.4781 931.0 1862 1.1617
0.4781 932.0 1864 1.1610
0.4781 933.0 1866 1.1611
0.4781 934.0 1868 1.1613
0.4781 935.0 1870 1.1613
0.4781 936.0 1872 1.1618
0.4781 937.0 1874 1.1624
0.4781 938.0 1876 1.1625
0.4781 939.0 1878 1.1623
0.4781 940.0 1880 1.1624
0.4781 941.0 1882 1.1619
0.4781 942.0 1884 1.1598
0.4781 943.0 1886 1.1571
0.4781 944.0 1888 1.1551
0.4781 945.0 1890 1.1531
0.4781 946.0 1892 1.1520
0.4781 947.0 1894 1.1511
0.4781 948.0 1896 1.1509
0.4781 949.0 1898 1.1511
0.4781 950.0 1900 1.1509
0.4781 951.0 1902 1.1508
0.4781 952.0 1904 1.1511
0.4781 953.0 1906 1.1515
0.4781 954.0 1908 1.1520
0.4781 955.0 1910 1.1527
0.4781 956.0 1912 1.1535
0.4781 957.0 1914 1.1546
0.4781 958.0 1916 1.1557
0.4781 959.0 1918 1.1564
0.4781 960.0 1920 1.1568
0.4781 961.0 1922 1.1572
0.4781 962.0 1924 1.1578
0.4781 963.0 1926 1.1583
0.4781 964.0 1928 1.1587
0.4781 965.0 1930 1.1589
0.4781 966.0 1932 1.1587
0.4781 967.0 1934 1.1587
0.4781 968.0 1936 1.1586
0.4781 969.0 1938 1.1587
0.4781 970.0 1940 1.1591
0.4781 971.0 1942 1.1594
0.4781 972.0 1944 1.1596
0.4781 973.0 1946 1.1597
0.4781 974.0 1948 1.1599
0.4781 975.0 1950 1.1600
0.4781 976.0 1952 1.1596
0.4781 977.0 1954 1.1591
0.4781 978.0 1956 1.1585
0.4781 979.0 1958 1.1580
0.4781 980.0 1960 1.1575
0.4781 981.0 1962 1.1571
0.4781 982.0 1964 1.1569
0.4781 983.0 1966 1.1568
0.4781 984.0 1968 1.1567
0.4781 985.0 1970 1.1565
0.4781 986.0 1972 1.1564
0.4781 987.0 1974 1.1562
0.4781 988.0 1976 1.1561
0.4781 989.0 1978 1.1560
0.4781 990.0 1980 1.1559
0.4781 991.0 1982 1.1559
0.4781 992.0 1984 1.1558
0.4781 993.0 1986 1.1558
0.4781 994.0 1988 1.1558
0.4781 995.0 1990 1.1557
0.4781 996.0 1992 1.1557
0.4781 997.0 1994 1.1557
0.4781 998.0 1996 1.1558
0.4781 999.0 1998 1.1558
0.4784 1000.0 2000 1.1558

Framework versions

  • Transformers 4.36.2
  • Pytorch 2.1.2+cu121
  • Datasets 2.14.7
  • Tokenizers 0.15.0
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Safetensors
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F32