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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: 1.3859

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 6.2392
No log 2.0 4 6.3606
No log 3.0 6 6.3302
No log 4.0 8 6.2556
No log 5.0 10 5.9838
No log 6.0 12 5.6434
No log 7.0 14 5.4625
No log 8.0 16 5.3216
No log 9.0 18 5.1803
No log 10.0 20 5.0230
No log 11.0 22 4.8791
No log 12.0 24 4.8112
No log 13.0 26 4.6359
No log 14.0 28 4.4133
No log 15.0 30 4.2477
No log 16.0 32 4.0479
No log 17.0 34 3.8281
No log 18.0 36 3.6850
No log 19.0 38 3.5521
No log 20.0 40 3.3836
No log 21.0 42 3.2738
No log 22.0 44 3.1723
No log 23.0 46 3.1062
No log 24.0 48 3.0506
No log 25.0 50 2.9974
No log 26.0 52 2.8952
No log 27.0 54 2.8692
No log 28.0 56 2.8122
No log 29.0 58 2.7477
No log 30.0 60 2.7818
No log 31.0 62 2.7222
No log 32.0 64 2.6513
No log 33.0 66 2.5553
No log 34.0 68 2.4697
No log 35.0 70 2.5147
No log 36.0 72 2.4701
No log 37.0 74 2.3817
No log 38.0 76 2.3397
No log 39.0 78 2.3285
No log 40.0 80 2.3427
No log 41.0 82 2.1274
No log 42.0 84 2.0858
No log 43.0 86 2.0831
No log 44.0 88 1.9282
No log 45.0 90 1.9103
No log 46.0 92 1.8713
No log 47.0 94 1.7713
No log 48.0 96 1.7105
No log 49.0 98 1.6483
No log 50.0 100 1.6115
No log 51.0 102 1.5694
No log 52.0 104 1.5768
No log 53.0 106 1.4820
No log 54.0 108 1.4422
No log 55.0 110 1.4515
No log 56.0 112 1.3668
No log 57.0 114 1.4229
No log 58.0 116 1.3764
No log 59.0 118 1.3159
No log 60.0 120 1.3684
No log 61.0 122 1.4024
No log 62.0 124 1.4022
No log 63.0 126 1.4163
No log 64.0 128 1.3030
No log 65.0 130 1.3511
No log 66.0 132 1.4307
No log 67.0 134 1.3482
No log 68.0 136 1.2050
No log 69.0 138 1.2197
No log 70.0 140 1.2955
No log 71.0 142 1.2603
No log 72.0 144 1.2188
No log 73.0 146 1.2209
No log 74.0 148 1.3233
No log 75.0 150 1.3907
No log 76.0 152 1.2892
No log 77.0 154 1.2385
No log 78.0 156 1.2649
No log 79.0 158 1.2912
No log 80.0 160 1.2787
No log 81.0 162 1.2894
No log 82.0 164 1.2219
No log 83.0 166 1.2526
No log 84.0 168 1.3134
No log 85.0 170 1.2738
No log 86.0 172 1.1862
No log 87.0 174 1.1754
No log 88.0 176 1.1856
No log 89.0 178 1.1411
No log 90.0 180 1.1468
No log 91.0 182 1.2219
No log 92.0 184 1.2348
No log 93.0 186 1.2539
No log 94.0 188 1.3142
No log 95.0 190 1.3426
No log 96.0 192 1.2950
No log 97.0 194 1.1578
No log 98.0 196 1.1482
No log 99.0 198 1.2214
No log 100.0 200 1.2621
No log 101.0 202 1.2568
No log 102.0 204 1.2313
No log 103.0 206 1.1385
No log 104.0 208 1.1336
No log 105.0 210 1.1972
No log 106.0 212 1.2738
No log 107.0 214 1.2061
No log 108.0 216 1.1259
No log 109.0 218 1.1295
No log 110.0 220 1.1641
No log 111.0 222 1.1672
No log 112.0 224 1.2211
No log 113.0 226 1.2340
No log 114.0 228 1.2608
No log 115.0 230 1.2590
No log 116.0 232 1.2412
No log 117.0 234 1.2275
No log 118.0 236 1.2798
No log 119.0 238 1.3240
No log 120.0 240 1.2910
No log 121.0 242 1.2228
No log 122.0 244 1.1676
No log 123.0 246 1.2019
No log 124.0 248 1.2762
No log 125.0 250 1.3170
No log 126.0 252 1.2557
No log 127.0 254 1.2017
No log 128.0 256 1.2145
No log 129.0 258 1.3000
No log 130.0 260 1.3371
No log 131.0 262 1.3282
No log 132.0 264 1.2549
No log 133.0 266 1.2636
No log 134.0 268 1.3543
No log 135.0 270 1.3776
No log 136.0 272 1.3820
No log 137.0 274 1.3624
No log 138.0 276 1.3286
No log 139.0 278 1.3389
No log 140.0 280 1.3843
No log 141.0 282 1.4119
No log 142.0 284 1.3404
No log 143.0 286 1.2233
No log 144.0 288 1.1634
No log 145.0 290 1.1743
No log 146.0 292 1.2216
No log 147.0 294 1.2615
No log 148.0 296 1.2698
No log 149.0 298 1.2574
No log 150.0 300 1.2013
No log 151.0 302 1.1782
No log 152.0 304 1.1868
No log 153.0 306 1.2209
No log 154.0 308 1.2650
No log 155.0 310 1.2678
No log 156.0 312 1.2483
No log 157.0 314 1.2249
No log 158.0 316 1.2192
No log 159.0 318 1.2685
No log 160.0 320 1.3042
No log 161.0 322 1.3329
No log 162.0 324 1.3820
No log 163.0 326 1.3776
No log 164.0 328 1.3062
No log 165.0 330 1.2287
No log 166.0 332 1.1804
No log 167.0 334 1.1878
No log 168.0 336 1.2288
No log 169.0 338 1.2620
No log 170.0 340 1.2738
No log 171.0 342 1.2856
No log 172.0 344 1.3189
No log 173.0 346 1.2971
No log 174.0 348 1.2227
No log 175.0 350 1.2113
No log 176.0 352 1.2372
No log 177.0 354 1.2345
No log 178.0 356 1.2357
No log 179.0 358 1.2578
No log 180.0 360 1.2575
No log 181.0 362 1.2438
No log 182.0 364 1.2362
No log 183.0 366 1.2906
No log 184.0 368 1.3564
No log 185.0 370 1.3361
No log 186.0 372 1.3235
No log 187.0 374 1.3131
No log 188.0 376 1.3451
No log 189.0 378 1.3708
No log 190.0 380 1.3735
No log 191.0 382 1.3659
No log 192.0 384 1.3499
No log 193.0 386 1.3248
No log 194.0 388 1.2972
No log 195.0 390 1.3089
No log 196.0 392 1.3088
No log 197.0 394 1.3057
No log 198.0 396 1.2836
No log 199.0 398 1.2748
No log 200.0 400 1.2783
No log 201.0 402 1.3234
No log 202.0 404 1.3851
No log 203.0 406 1.4287
No log 204.0 408 1.3798
No log 205.0 410 1.2660
No log 206.0 412 1.2068
No log 207.0 414 1.2213
No log 208.0 416 1.2811
No log 209.0 418 1.3142
No log 210.0 420 1.3317
No log 211.0 422 1.3334
No log 212.0 424 1.3037
No log 213.0 426 1.2620
No log 214.0 428 1.2192
No log 215.0 430 1.2268
No log 216.0 432 1.2740
No log 217.0 434 1.3298
No log 218.0 436 1.3930
No log 219.0 438 1.4287
No log 220.0 440 1.4227
No log 221.0 442 1.3803
No log 222.0 444 1.3389
No log 223.0 446 1.3402
No log 224.0 448 1.3458
No log 225.0 450 1.3779
No log 226.0 452 1.4241
No log 227.0 454 1.4453
No log 228.0 456 1.4269
No log 229.0 458 1.3875
No log 230.0 460 1.3527
No log 231.0 462 1.3338
No log 232.0 464 1.3420
No log 233.0 466 1.3536
No log 234.0 468 1.3931
No log 235.0 470 1.4257
No log 236.0 472 1.4281
No log 237.0 474 1.4027
No log 238.0 476 1.3635
No log 239.0 478 1.3048
No log 240.0 480 1.2874
No log 241.0 482 1.3135
No log 242.0 484 1.3534
No log 243.0 486 1.3877
No log 244.0 488 1.4125
No log 245.0 490 1.4280
No log 246.0 492 1.4330
No log 247.0 494 1.4254
No log 248.0 496 1.4343
No log 249.0 498 1.3983
0.4984 250.0 500 1.3501
0.4984 251.0 502 1.3319
0.4984 252.0 504 1.3261
0.4984 253.0 506 1.3543
0.4984 254.0 508 1.3817
0.4984 255.0 510 1.4107
0.4984 256.0 512 1.4216
0.4984 257.0 514 1.3670
0.4984 258.0 516 1.3489
0.4984 259.0 518 1.3245
0.4984 260.0 520 1.3046
0.4984 261.0 522 1.3024
0.4984 262.0 524 1.2989
0.4984 263.0 526 1.3072
0.4984 264.0 528 1.3100
0.4984 265.0 530 1.3296
0.4984 266.0 532 1.3444
0.4984 267.0 534 1.3580
0.4984 268.0 536 1.3623
0.4984 269.0 538 1.3863
0.4984 270.0 540 1.4010
0.4984 271.0 542 1.4060
0.4984 272.0 544 1.4048
0.4984 273.0 546 1.4001
0.4984 274.0 548 1.3804
0.4984 275.0 550 1.3607
0.4984 276.0 552 1.3414
0.4984 277.0 554 1.3338
0.4984 278.0 556 1.3401
0.4984 279.0 558 1.3512
0.4984 280.0 560 1.3606
0.4984 281.0 562 1.3636
0.4984 282.0 564 1.3589
0.4984 283.0 566 1.3478
0.4984 284.0 568 1.3387
0.4984 285.0 570 1.3533
0.4984 286.0 572 1.3818
0.4984 287.0 574 1.4216
0.4984 288.0 576 1.4690
0.4984 289.0 578 1.4980
0.4984 290.0 580 1.5126
0.4984 291.0 582 1.5328
0.4984 292.0 584 1.5507
0.4984 293.0 586 1.5507
0.4984 294.0 588 1.5699
0.4984 295.0 590 1.5493
0.4984 296.0 592 1.5112
0.4984 297.0 594 1.4635
0.4984 298.0 596 1.4157
0.4984 299.0 598 1.3829
0.4984 300.0 600 1.3594
0.4984 301.0 602 1.3757
0.4984 302.0 604 1.4016
0.4984 303.0 606 1.4373
0.4984 304.0 608 1.4400
0.4984 305.0 610 1.4478
0.4984 306.0 612 1.4511
0.4984 307.0 614 1.4484
0.4984 308.0 616 1.4229
0.4984 309.0 618 1.3912
0.4984 310.0 620 1.3733
0.4984 311.0 622 1.3450
0.4984 312.0 624 1.3264
0.4984 313.0 626 1.3251
0.4984 314.0 628 1.3312
0.4984 315.0 630 1.3335
0.4984 316.0 632 1.3298
0.4984 317.0 634 1.3226
0.4984 318.0 636 1.3150
0.4984 319.0 638 1.3055
0.4984 320.0 640 1.2983
0.4984 321.0 642 1.2899
0.4984 322.0 644 1.2646
0.4984 323.0 646 1.2413
0.4984 324.0 648 1.2316
0.4984 325.0 650 1.2295
0.4984 326.0 652 1.2300
0.4984 327.0 654 1.2594
0.4984 328.0 656 1.2869
0.4984 329.0 658 1.2923
0.4984 330.0 660 1.3231
0.4984 331.0 662 1.3421
0.4984 332.0 664 1.3503
0.4984 333.0 666 1.3452
0.4984 334.0 668 1.3347
0.4984 335.0 670 1.3203
0.4984 336.0 672 1.3098
0.4984 337.0 674 1.3021
0.4984 338.0 676 1.3016
0.4984 339.0 678 1.3007
0.4984 340.0 680 1.3001
0.4984 341.0 682 1.3070
0.4984 342.0 684 1.3475
0.4984 343.0 686 1.3788
0.4984 344.0 688 1.3991
0.4984 345.0 690 1.4028
0.4984 346.0 692 1.4028
0.4984 347.0 694 1.3971
0.4984 348.0 696 1.3793
0.4984 349.0 698 1.3543
0.4984 350.0 700 1.3296
0.4984 351.0 702 1.3322
0.4984 352.0 704 1.3556
0.4984 353.0 706 1.3936
0.4984 354.0 708 1.4202
0.4984 355.0 710 1.4235
0.4984 356.0 712 1.3934
0.4984 357.0 714 1.3511
0.4984 358.0 716 1.2957
0.4984 359.0 718 1.2690
0.4984 360.0 720 1.2670
0.4984 361.0 722 1.2906
0.4984 362.0 724 1.3083
0.4984 363.0 726 1.3239
0.4984 364.0 728 1.3353
0.4984 365.0 730 1.3442
0.4984 366.0 732 1.3308
0.4984 367.0 734 1.3172
0.4984 368.0 736 1.3009
0.4984 369.0 738 1.2826
0.4984 370.0 740 1.2781
0.4984 371.0 742 1.2796
0.4984 372.0 744 1.2815
0.4984 373.0 746 1.3100
0.4984 374.0 748 1.3447
0.4984 375.0 750 1.3591
0.4984 376.0 752 1.3892
0.4984 377.0 754 1.4185
0.4984 378.0 756 1.4329
0.4984 379.0 758 1.4273
0.4984 380.0 760 1.4074
0.4984 381.0 762 1.3999
0.4984 382.0 764 1.3906
0.4984 383.0 766 1.3857
0.4984 384.0 768 1.3740
0.4984 385.0 770 1.3637
0.4984 386.0 772 1.3600
0.4984 387.0 774 1.3614
0.4984 388.0 776 1.3720
0.4984 389.0 778 1.3822
0.4984 390.0 780 1.3862
0.4984 391.0 782 1.3850
0.4984 392.0 784 1.3857
0.4984 393.0 786 1.3859
0.4984 394.0 788 1.3968
0.4984 395.0 790 1.4054
0.4984 396.0 792 1.4105
0.4984 397.0 794 1.4135
0.4984 398.0 796 1.4122
0.4984 399.0 798 1.3965
0.4984 400.0 800 1.3806
0.4984 401.0 802 1.3833
0.4984 402.0 804 1.3848
0.4984 403.0 806 1.3755
0.4984 404.0 808 1.3663
0.4984 405.0 810 1.3541
0.4984 406.0 812 1.3481
0.4984 407.0 814 1.3484
0.4984 408.0 816 1.3506
0.4984 409.0 818 1.3486
0.4984 410.0 820 1.3474
0.4984 411.0 822 1.3512
0.4984 412.0 824 1.3562
0.4984 413.0 826 1.3683
0.4984 414.0 828 1.3778
0.4984 415.0 830 1.3839
0.4984 416.0 832 1.3879
0.4984 417.0 834 1.3888
0.4984 418.0 836 1.3952
0.4984 419.0 838 1.4006
0.4984 420.0 840 1.3990
0.4984 421.0 842 1.3698
0.4984 422.0 844 1.3452
0.4984 423.0 846 1.3087
0.4984 424.0 848 1.2798
0.4984 425.0 850 1.2656
0.4984 426.0 852 1.2812
0.4984 427.0 854 1.2965
0.4984 428.0 856 1.3184
0.4984 429.0 858 1.3456
0.4984 430.0 860 1.3730
0.4984 431.0 862 1.3882
0.4984 432.0 864 1.3960
0.4984 433.0 866 1.3961
0.4984 434.0 868 1.3904
0.4984 435.0 870 1.3826
0.4984 436.0 872 1.3876
0.4984 437.0 874 1.3942
0.4984 438.0 876 1.3903
0.4984 439.0 878 1.4131
0.4984 440.0 880 1.4386
0.4984 441.0 882 1.4533
0.4984 442.0 884 1.4633
0.4984 443.0 886 1.4364
0.4984 444.0 888 1.3961
0.4984 445.0 890 1.3603
0.4984 446.0 892 1.3205
0.4984 447.0 894 1.2876
0.4984 448.0 896 1.2629
0.4984 449.0 898 1.2929
0.4984 450.0 900 1.3158
0.4984 451.0 902 1.3561
0.4984 452.0 904 1.4016
0.4984 453.0 906 1.4331
0.4984 454.0 908 1.4514
0.4984 455.0 910 1.4568
0.4984 456.0 912 1.4481
0.4984 457.0 914 1.4331
0.4984 458.0 916 1.4101
0.4984 459.0 918 1.4124
0.4984 460.0 920 1.4035
0.4984 461.0 922 1.3846
0.4984 462.0 924 1.3591
0.4984 463.0 926 1.3337
0.4984 464.0 928 1.3211
0.4984 465.0 930 1.3289
0.4984 466.0 932 1.3686
0.4984 467.0 934 1.4247
0.4984 468.0 936 1.4679
0.4984 469.0 938 1.4892
0.4984 470.0 940 1.5036
0.4984 471.0 942 1.5144
0.4984 472.0 944 1.5118
0.4984 473.0 946 1.4974
0.4984 474.0 948 1.4768
0.4984 475.0 950 1.4562
0.4984 476.0 952 1.4385
0.4984 477.0 954 1.4229
0.4984 478.0 956 1.4084
0.4984 479.0 958 1.4004
0.4984 480.0 960 1.4004
0.4984 481.0 962 1.3982
0.4984 482.0 964 1.3999
0.4984 483.0 966 1.4041
0.4984 484.0 968 1.4065
0.4984 485.0 970 1.4074
0.4984 486.0 972 1.3975
0.4984 487.0 974 1.4100
0.4984 488.0 976 1.4375
0.4984 489.0 978 1.4597
0.4984 490.0 980 1.4732
0.4984 491.0 982 1.4704
0.4984 492.0 984 1.4610
0.4984 493.0 986 1.4437
0.4984 494.0 988 1.4284
0.4984 495.0 990 1.4139
0.4984 496.0 992 1.4026
0.4984 497.0 994 1.3938
0.4984 498.0 996 1.4228
0.4984 499.0 998 1.4441
0.0013 500.0 1000 1.4600
0.0013 501.0 1002 1.4651
0.0013 502.0 1004 1.4571
0.0013 503.0 1006 1.4481
0.0013 504.0 1008 1.4398
0.0013 505.0 1010 1.4303
0.0013 506.0 1012 1.4208
0.0013 507.0 1014 1.4074
0.0013 508.0 1016 1.3926
0.0013 509.0 1018 1.3814
0.0013 510.0 1020 1.3729
0.0013 511.0 1022 1.3687
0.0013 512.0 1024 1.3629
0.0013 513.0 1026 1.3900
0.0013 514.0 1028 1.4067
0.0013 515.0 1030 1.3830
0.0013 516.0 1032 1.3642
0.0013 517.0 1034 1.3945
0.0013 518.0 1036 1.4173
0.0013 519.0 1038 1.4311
0.0013 520.0 1040 1.4405
0.0013 521.0 1042 1.4485
0.0013 522.0 1044 1.4568
0.0013 523.0 1046 1.4552
0.0013 524.0 1048 1.4257
0.0013 525.0 1050 1.3988
0.0013 526.0 1052 1.3722
0.0013 527.0 1054 1.3477
0.0013 528.0 1056 1.3285
0.0013 529.0 1058 1.3126
0.0013 530.0 1060 1.2998
0.0013 531.0 1062 1.2948
0.0013 532.0 1064 1.2972
0.0013 533.0 1066 1.2976
0.0013 534.0 1068 1.2979
0.0013 535.0 1070 1.3181
0.0013 536.0 1072 1.3510
0.0013 537.0 1074 1.3788
0.0013 538.0 1076 1.3992
0.0013 539.0 1078 1.4265
0.0013 540.0 1080 1.4463
0.0013 541.0 1082 1.4578
0.0013 542.0 1084 1.4586
0.0013 543.0 1086 1.4551
0.0013 544.0 1088 1.4510
0.0013 545.0 1090 1.4462
0.0013 546.0 1092 1.4394
0.0013 547.0 1094 1.4334
0.0013 548.0 1096 1.4384
0.0013 549.0 1098 1.4397
0.0013 550.0 1100 1.4445
0.0013 551.0 1102 1.4514
0.0013 552.0 1104 1.4554
0.0013 553.0 1106 1.4576
0.0013 554.0 1108 1.4583
0.0013 555.0 1110 1.4601
0.0013 556.0 1112 1.4597
0.0013 557.0 1114 1.4596
0.0013 558.0 1116 1.4577
0.0013 559.0 1118 1.4520
0.0013 560.0 1120 1.4491
0.0013 561.0 1122 1.4455
0.0013 562.0 1124 1.4424
0.0013 563.0 1126 1.4388
0.0013 564.0 1128 1.4303
0.0013 565.0 1130 1.4266
0.0013 566.0 1132 1.4235
0.0013 567.0 1134 1.4207
0.0013 568.0 1136 1.4185
0.0013 569.0 1138 1.4172
0.0013 570.0 1140 1.4145
0.0013 571.0 1142 1.4177
0.0013 572.0 1144 1.4230
0.0013 573.0 1146 1.4247
0.0013 574.0 1148 1.4152
0.0013 575.0 1150 1.4082
0.0013 576.0 1152 1.4027
0.0013 577.0 1154 1.4000
0.0013 578.0 1156 1.3985
0.0013 579.0 1158 1.4005
0.0013 580.0 1160 1.4054
0.0013 581.0 1162 1.4075
0.0013 582.0 1164 1.4120
0.0013 583.0 1166 1.4161
0.0013 584.0 1168 1.4199
0.0013 585.0 1170 1.4222
0.0013 586.0 1172 1.4239
0.0013 587.0 1174 1.4254
0.0013 588.0 1176 1.4162
0.0013 589.0 1178 1.4203
0.0013 590.0 1180 1.4341
0.0013 591.0 1182 1.4659
0.0013 592.0 1184 1.4891
0.0013 593.0 1186 1.5046
0.0013 594.0 1188 1.5110
0.0013 595.0 1190 1.5053
0.0013 596.0 1192 1.5001
0.0013 597.0 1194 1.4795
0.0013 598.0 1196 1.4530
0.0013 599.0 1198 1.4300
0.0013 600.0 1200 1.4101
0.0013 601.0 1202 1.3887
0.0013 602.0 1204 1.3722
0.0013 603.0 1206 1.3588
0.0013 604.0 1208 1.3521
0.0013 605.0 1210 1.3470
0.0013 606.0 1212 1.3519
0.0013 607.0 1214 1.3647
0.0013 608.0 1216 1.3756
0.0013 609.0 1218 1.3838
0.0013 610.0 1220 1.3876
0.0013 611.0 1222 1.3876
0.0013 612.0 1224 1.3871
0.0013 613.0 1226 1.3861
0.0013 614.0 1228 1.3932
0.0013 615.0 1230 1.4157
0.0013 616.0 1232 1.4386
0.0013 617.0 1234 1.4567
0.0013 618.0 1236 1.4693
0.0013 619.0 1238 1.4772
0.0013 620.0 1240 1.4793
0.0013 621.0 1242 1.4671
0.0013 622.0 1244 1.4450
0.0013 623.0 1246 1.4167
0.0013 624.0 1248 1.3841
0.0013 625.0 1250 1.3548
0.0013 626.0 1252 1.3333
0.0013 627.0 1254 1.3233
0.0013 628.0 1256 1.3179
0.0013 629.0 1258 1.3158
0.0013 630.0 1260 1.3153
0.0013 631.0 1262 1.3201
0.0013 632.0 1264 1.3260
0.0013 633.0 1266 1.3341
0.0013 634.0 1268 1.3430
0.0013 635.0 1270 1.3519
0.0013 636.0 1272 1.3612
0.0013 637.0 1274 1.3718
0.0013 638.0 1276 1.3815
0.0013 639.0 1278 1.3941
0.0013 640.0 1280 1.4047
0.0013 641.0 1282 1.4108
0.0013 642.0 1284 1.4149
0.0013 643.0 1286 1.4114
0.0013 644.0 1288 1.4072
0.0013 645.0 1290 1.4023
0.0013 646.0 1292 1.3963
0.0013 647.0 1294 1.3909
0.0013 648.0 1296 1.3862
0.0013 649.0 1298 1.3821
0.0013 650.0 1300 1.3786
0.0013 651.0 1302 1.3785
0.0013 652.0 1304 1.3798
0.0013 653.0 1306 1.3825
0.0013 654.0 1308 1.3856
0.0013 655.0 1310 1.3837
0.0013 656.0 1312 1.3796
0.0013 657.0 1314 1.3739
0.0013 658.0 1316 1.3675
0.0013 659.0 1318 1.3617
0.0013 660.0 1320 1.3569
0.0013 661.0 1322 1.3516
0.0013 662.0 1324 1.3562
0.0013 663.0 1326 1.3711
0.0013 664.0 1328 1.3824
0.0013 665.0 1330 1.3873
0.0013 666.0 1332 1.3901
0.0013 667.0 1334 1.3912
0.0013 668.0 1336 1.3906
0.0013 669.0 1338 1.3892
0.0013 670.0 1340 1.3863
0.0013 671.0 1342 1.3834
0.0013 672.0 1344 1.3811
0.0013 673.0 1346 1.3789
0.0013 674.0 1348 1.3783
0.0013 675.0 1350 1.3775
0.0013 676.0 1352 1.3765
0.0013 677.0 1354 1.3750
0.0013 678.0 1356 1.3732
0.0013 679.0 1358 1.3714
0.0013 680.0 1360 1.3701
0.0013 681.0 1362 1.3690
0.0013 682.0 1364 1.3669
0.0013 683.0 1366 1.3650
0.0013 684.0 1368 1.3652
0.0013 685.0 1370 1.3661
0.0013 686.0 1372 1.3711
0.0013 687.0 1374 1.3762
0.0013 688.0 1376 1.3815
0.0013 689.0 1378 1.3849
0.0013 690.0 1380 1.3866
0.0013 691.0 1382 1.3856
0.0013 692.0 1384 1.3827
0.0013 693.0 1386 1.3785
0.0013 694.0 1388 1.3752
0.0013 695.0 1390 1.3722
0.0013 696.0 1392 1.3719
0.0013 697.0 1394 1.3713
0.0013 698.0 1396 1.3706
0.0013 699.0 1398 1.3682
0.0013 700.0 1400 1.3655
0.0013 701.0 1402 1.3735
0.0013 702.0 1404 1.3824
0.0013 703.0 1406 1.3917
0.0013 704.0 1408 1.3977
0.0013 705.0 1410 1.4018
0.0013 706.0 1412 1.4048
0.0013 707.0 1414 1.4069
0.0013 708.0 1416 1.4071
0.0013 709.0 1418 1.4056
0.0013 710.0 1420 1.4038
0.0013 711.0 1422 1.4027
0.0013 712.0 1424 1.3999
0.0013 713.0 1426 1.3940
0.0013 714.0 1428 1.3880
0.0013 715.0 1430 1.3814
0.0013 716.0 1432 1.3756
0.0013 717.0 1434 1.3708
0.0013 718.0 1436 1.3658
0.0013 719.0 1438 1.3619
0.0013 720.0 1440 1.3605
0.0013 721.0 1442 1.3587
0.0013 722.0 1444 1.3685
0.0013 723.0 1446 1.3823
0.0013 724.0 1448 1.3939
0.0013 725.0 1450 1.4022
0.0013 726.0 1452 1.4089
0.0013 727.0 1454 1.4147
0.0013 728.0 1456 1.4190
0.0013 729.0 1458 1.4273
0.0013 730.0 1460 1.4373
0.0013 731.0 1462 1.4448
0.0013 732.0 1464 1.4494
0.0013 733.0 1466 1.4507
0.0013 734.0 1468 1.4513
0.0013 735.0 1470 1.4585
0.0013 736.0 1472 1.4685
0.0013 737.0 1474 1.4767
0.0013 738.0 1476 1.4740
0.0013 739.0 1478 1.4713
0.0013 740.0 1480 1.4689
0.0013 741.0 1482 1.4668
0.0013 742.0 1484 1.4648
0.0013 743.0 1486 1.4631
0.0013 744.0 1488 1.4613
0.0013 745.0 1490 1.4588
0.0013 746.0 1492 1.4550
0.0013 747.0 1494 1.4507
0.0013 748.0 1496 1.4456
0.0013 749.0 1498 1.4401
0.0003 750.0 1500 1.4360
0.0003 751.0 1502 1.4327
0.0003 752.0 1504 1.4302
0.0003 753.0 1506 1.4290
0.0003 754.0 1508 1.4285
0.0003 755.0 1510 1.4290
0.0003 756.0 1512 1.4267
0.0003 757.0 1514 1.4248
0.0003 758.0 1516 1.4228
0.0003 759.0 1518 1.4206
0.0003 760.0 1520 1.4184
0.0003 761.0 1522 1.4166
0.0003 762.0 1524 1.4148
0.0003 763.0 1526 1.4132
0.0003 764.0 1528 1.4126
0.0003 765.0 1530 1.4171
0.0003 766.0 1532 1.4209
0.0003 767.0 1534 1.4356
0.0003 768.0 1536 1.4466
0.0003 769.0 1538 1.4545
0.0003 770.0 1540 1.4605
0.0003 771.0 1542 1.4648
0.0003 772.0 1544 1.4678
0.0003 773.0 1546 1.4697
0.0003 774.0 1548 1.4707
0.0003 775.0 1550 1.4709
0.0003 776.0 1552 1.4680
0.0003 777.0 1554 1.4634
0.0003 778.0 1556 1.4592
0.0003 779.0 1558 1.4550
0.0003 780.0 1560 1.4512
0.0003 781.0 1562 1.4479
0.0003 782.0 1564 1.4652
0.0003 783.0 1566 1.4978
0.0003 784.0 1568 1.5235
0.0003 785.0 1570 1.5399
0.0003 786.0 1572 1.5518
0.0003 787.0 1574 1.5597
0.0003 788.0 1576 1.5629
0.0003 789.0 1578 1.5628
0.0003 790.0 1580 1.5599
0.0003 791.0 1582 1.5538
0.0003 792.0 1584 1.5479
0.0003 793.0 1586 1.5405
0.0003 794.0 1588 1.5318
0.0003 795.0 1590 1.5236
0.0003 796.0 1592 1.5222
0.0003 797.0 1594 1.5259
0.0003 798.0 1596 1.5279
0.0003 799.0 1598 1.5291
0.0003 800.0 1600 1.5242
0.0003 801.0 1602 1.5197
0.0003 802.0 1604 1.5153
0.0003 803.0 1606 1.5091
0.0003 804.0 1608 1.5018
0.0003 805.0 1610 1.4950
0.0003 806.0 1612 1.4887
0.0003 807.0 1614 1.4833
0.0003 808.0 1616 1.4786
0.0003 809.0 1618 1.4726
0.0003 810.0 1620 1.4676
0.0003 811.0 1622 1.4762
0.0003 812.0 1624 1.4831
0.0003 813.0 1626 1.4911
0.0003 814.0 1628 1.5145
0.0003 815.0 1630 1.5310
0.0003 816.0 1632 1.5441
0.0003 817.0 1634 1.5537
0.0003 818.0 1636 1.5606
0.0003 819.0 1638 1.5644
0.0003 820.0 1640 1.5652
0.0003 821.0 1642 1.5639
0.0003 822.0 1644 1.5595
0.0003 823.0 1646 1.5473
0.0003 824.0 1648 1.5360
0.0003 825.0 1650 1.5237
0.0003 826.0 1652 1.5143
0.0003 827.0 1654 1.5092
0.0003 828.0 1656 1.4986
0.0003 829.0 1658 1.4837
0.0003 830.0 1660 1.4722
0.0003 831.0 1662 1.4626
0.0003 832.0 1664 1.4545
0.0003 833.0 1666 1.4480
0.0003 834.0 1668 1.4345
0.0003 835.0 1670 1.4235
0.0003 836.0 1672 1.4138
0.0003 837.0 1674 1.4071
0.0003 838.0 1676 1.4051
0.0003 839.0 1678 1.4036
0.0003 840.0 1680 1.4020
0.0003 841.0 1682 1.3985
0.0003 842.0 1684 1.3947
0.0003 843.0 1686 1.3917
0.0003 844.0 1688 1.3896
0.0003 845.0 1690 1.3882
0.0003 846.0 1692 1.3870
0.0003 847.0 1694 1.4005
0.0003 848.0 1696 1.4152
0.0003 849.0 1698 1.4301
0.0003 850.0 1700 1.4422
0.0003 851.0 1702 1.4517
0.0003 852.0 1704 1.4587
0.0003 853.0 1706 1.4637
0.0003 854.0 1708 1.4669
0.0003 855.0 1710 1.4685
0.0003 856.0 1712 1.4689
0.0003 857.0 1714 1.4679
0.0003 858.0 1716 1.4595
0.0003 859.0 1718 1.4518
0.0003 860.0 1720 1.4440
0.0003 861.0 1722 1.4372
0.0003 862.0 1724 1.4310
0.0003 863.0 1726 1.4251
0.0003 864.0 1728 1.4212
0.0003 865.0 1730 1.4181
0.0003 866.0 1732 1.4154
0.0003 867.0 1734 1.4129
0.0003 868.0 1736 1.4109
0.0003 869.0 1738 1.4092
0.0003 870.0 1740 1.4077
0.0003 871.0 1742 1.4063
0.0003 872.0 1744 1.4045
0.0003 873.0 1746 1.4027
0.0003 874.0 1748 1.4011
0.0003 875.0 1750 1.3993
0.0003 876.0 1752 1.4034
0.0003 877.0 1754 1.4118
0.0003 878.0 1756 1.4173
0.0003 879.0 1758 1.4212
0.0003 880.0 1760 1.4245
0.0003 881.0 1762 1.4271
0.0003 882.0 1764 1.4292
0.0003 883.0 1766 1.4308
0.0003 884.0 1768 1.4316
0.0003 885.0 1770 1.4318
0.0003 886.0 1772 1.4317
0.0003 887.0 1774 1.4315
0.0003 888.0 1776 1.4311
0.0003 889.0 1778 1.4301
0.0003 890.0 1780 1.4281
0.0003 891.0 1782 1.4265
0.0003 892.0 1784 1.4248
0.0003 893.0 1786 1.4226
0.0003 894.0 1788 1.4189
0.0003 895.0 1790 1.4158
0.0003 896.0 1792 1.4134
0.0003 897.0 1794 1.4114
0.0003 898.0 1796 1.4095
0.0003 899.0 1798 1.4070
0.0003 900.0 1800 1.4048
0.0003 901.0 1802 1.4032
0.0003 902.0 1804 1.4020
0.0003 903.0 1806 1.4013
0.0003 904.0 1808 1.4006
0.0003 905.0 1810 1.4000
0.0003 906.0 1812 1.3997
0.0003 907.0 1814 1.3994
0.0003 908.0 1816 1.3990
0.0003 909.0 1818 1.3983
0.0003 910.0 1820 1.3979
0.0003 911.0 1822 1.3978
0.0003 912.0 1824 1.3986
0.0003 913.0 1826 1.3978
0.0003 914.0 1828 1.3970
0.0003 915.0 1830 1.3964
0.0003 916.0 1832 1.3958
0.0003 917.0 1834 1.3953
0.0003 918.0 1836 1.3945
0.0003 919.0 1838 1.3944
0.0003 920.0 1840 1.3942
0.0003 921.0 1842 1.3940
0.0003 922.0 1844 1.3935
0.0003 923.0 1846 1.3932
0.0003 924.0 1848 1.3927
0.0003 925.0 1850 1.3925
0.0003 926.0 1852 1.3925
0.0003 927.0 1854 1.3926
0.0003 928.0 1856 1.3928
0.0003 929.0 1858 1.3928
0.0003 930.0 1860 1.3903
0.0003 931.0 1862 1.3883
0.0003 932.0 1864 1.3866
0.0003 933.0 1866 1.3853
0.0003 934.0 1868 1.3842
0.0003 935.0 1870 1.3834
0.0003 936.0 1872 1.3826
0.0003 937.0 1874 1.3818
0.0003 938.0 1876 1.3803
0.0003 939.0 1878 1.3791
0.0003 940.0 1880 1.3782
0.0003 941.0 1882 1.3776
0.0003 942.0 1884 1.3770
0.0003 943.0 1886 1.3764
0.0003 944.0 1888 1.3758
0.0003 945.0 1890 1.3760
0.0003 946.0 1892 1.3763
0.0003 947.0 1894 1.3766
0.0003 948.0 1896 1.3770
0.0003 949.0 1898 1.3773
0.0003 950.0 1900 1.3776
0.0003 951.0 1902 1.3778
0.0003 952.0 1904 1.3780
0.0003 953.0 1906 1.3796
0.0003 954.0 1908 1.3821
0.0003 955.0 1910 1.3841
0.0003 956.0 1912 1.3858
0.0003 957.0 1914 1.3859
0.0003 958.0 1916 1.3858
0.0003 959.0 1918 1.3859
0.0003 960.0 1920 1.3857
0.0003 961.0 1922 1.3853
0.0003 962.0 1924 1.3850
0.0003 963.0 1926 1.3848
0.0003 964.0 1928 1.3847
0.0003 965.0 1930 1.3845
0.0003 966.0 1932 1.3843
0.0003 967.0 1934 1.3841
0.0003 968.0 1936 1.3839
0.0003 969.0 1938 1.3837
0.0003 970.0 1940 1.3836
0.0003 971.0 1942 1.3836
0.0003 972.0 1944 1.3836
0.0003 973.0 1946 1.3835
0.0003 974.0 1948 1.3838
0.0003 975.0 1950 1.3843
0.0003 976.0 1952 1.3847
0.0003 977.0 1954 1.3850
0.0003 978.0 1956 1.3852
0.0003 979.0 1958 1.3853
0.0003 980.0 1960 1.3854
0.0003 981.0 1962 1.3855
0.0003 982.0 1964 1.3855
0.0003 983.0 1966 1.3854
0.0003 984.0 1968 1.3854
0.0003 985.0 1970 1.3855
0.0003 986.0 1972 1.3857
0.0003 987.0 1974 1.3858
0.0003 988.0 1976 1.3859
0.0003 989.0 1978 1.3860
0.0003 990.0 1980 1.3860
0.0003 991.0 1982 1.3861
0.0003 992.0 1984 1.3860
0.0003 993.0 1986 1.3860
0.0003 994.0 1988 1.3860
0.0003 995.0 1990 1.3860
0.0003 996.0 1992 1.3860
0.0003 997.0 1994 1.3859
0.0003 998.0 1996 1.3859
0.0003 999.0 1998 1.3859
0.0002 1000.0 2000 1.3859

Framework versions

  • Transformers 4.36.2
  • Pytorch 2.1.2+cu121
  • Datasets 2.14.7
  • Tokenizers 0.15.0
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Safetensors
Model size
124M params
Tensor type
F32
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