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BERT-legal-de-cased_German_legal_SQuAD_part_augmented_1000

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

  • Loss: 1.1878

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 3 6.2315
No log 2.0 6 6.1635
No log 3.0 9 5.6804
No log 4.0 12 5.4851
No log 5.0 15 5.1017
No log 6.0 18 4.8099
No log 7.0 21 4.5260
No log 8.0 24 4.2462
No log 9.0 27 4.0071
No log 10.0 30 3.7489
No log 11.0 33 3.5721
No log 12.0 36 3.3983
No log 13.0 39 3.1847
No log 14.0 42 3.0440
No log 15.0 45 2.7774
No log 16.0 48 2.9011
No log 17.0 51 2.5050
No log 18.0 54 2.5825
No log 19.0 57 2.3698
No log 20.0 60 2.1609
No log 21.0 63 2.3133
No log 22.0 66 1.9613
No log 23.0 69 1.9666
No log 24.0 72 1.8069
No log 25.0 75 1.7976
No log 26.0 78 1.7498
No log 27.0 81 1.5485
No log 28.0 84 1.8017
No log 29.0 87 1.4228
No log 30.0 90 1.6463
No log 31.0 93 1.3787
No log 32.0 96 1.5086
No log 33.0 99 1.3644
No log 34.0 102 1.4424
No log 35.0 105 1.4331
No log 36.0 108 1.4622
No log 37.0 111 1.4498
No log 38.0 114 1.4811
No log 39.0 117 1.4247
No log 40.0 120 1.4087
No log 41.0 123 1.4205
No log 42.0 126 1.3249
No log 43.0 129 1.4612
No log 44.0 132 1.3484
No log 45.0 135 1.4333
No log 46.0 138 1.3669
No log 47.0 141 1.4275
No log 48.0 144 1.3946
No log 49.0 147 1.4163
No log 50.0 150 1.4242
No log 51.0 153 1.3976
No log 52.0 156 1.4482
No log 53.0 159 1.2670
No log 54.0 162 1.4237
No log 55.0 165 1.3375
No log 56.0 168 1.4923
No log 57.0 171 1.3465
No log 58.0 174 1.4602
No log 59.0 177 1.3327
No log 60.0 180 1.4953
No log 61.0 183 1.3589
No log 62.0 186 1.3119
No log 63.0 189 1.4500
No log 64.0 192 1.3377
No log 65.0 195 1.4834
No log 66.0 198 1.2696
No log 67.0 201 1.2991
No log 68.0 204 1.2945
No log 69.0 207 1.2524
No log 70.0 210 1.2919
No log 71.0 213 1.2645
No log 72.0 216 1.3566
No log 73.0 219 1.3511
No log 74.0 222 1.4390
No log 75.0 225 1.4624
No log 76.0 228 1.3019
No log 77.0 231 1.3605
No log 78.0 234 1.3079
No log 79.0 237 1.3709
No log 80.0 240 1.3241
No log 81.0 243 1.3111
No log 82.0 246 1.2147
No log 83.0 249 1.2509
No log 84.0 252 1.2801
No log 85.0 255 1.3803
No log 86.0 258 1.3451
No log 87.0 261 1.4449
No log 88.0 264 1.4696
No log 89.0 267 1.3467
No log 90.0 270 1.2665
No log 91.0 273 1.2200
No log 92.0 276 1.2815
No log 93.0 279 1.3957
No log 94.0 282 1.3065
No log 95.0 285 1.3217
No log 96.0 288 1.4439
No log 97.0 291 1.3488
No log 98.0 294 1.3987
No log 99.0 297 1.3149
No log 100.0 300 1.3016
No log 101.0 303 1.3893
No log 102.0 306 1.2377
No log 103.0 309 1.3223
No log 104.0 312 1.2804
No log 105.0 315 1.3317
No log 106.0 318 1.3680
No log 107.0 321 1.4256
No log 108.0 324 1.3947
No log 109.0 327 1.4419
No log 110.0 330 1.4711
No log 111.0 333 1.4832
No log 112.0 336 1.4899
No log 113.0 339 1.4981
No log 114.0 342 1.4621
No log 115.0 345 1.4888
No log 116.0 348 1.5079
No log 117.0 351 1.3973
No log 118.0 354 1.2295
No log 119.0 357 1.2848
No log 120.0 360 1.3691
No log 121.0 363 1.2567
No log 122.0 366 1.2845
No log 123.0 369 1.3837
No log 124.0 372 1.2782
No log 125.0 375 1.2103
No log 126.0 378 1.1015
No log 127.0 381 1.2913
No log 128.0 384 1.4697
No log 129.0 387 1.3874
No log 130.0 390 1.3469
No log 131.0 393 1.4226
No log 132.0 396 1.3852
No log 133.0 399 1.2439
No log 134.0 402 1.2279
No log 135.0 405 1.2736
No log 136.0 408 1.3548
No log 137.0 411 1.4317
No log 138.0 414 1.3363
No log 139.0 417 1.2440
No log 140.0 420 1.3186
No log 141.0 423 1.4799
No log 142.0 426 1.2877
No log 143.0 429 1.2090
No log 144.0 432 1.4745
No log 145.0 435 1.5081
No log 146.0 438 1.3265
No log 147.0 441 1.3201
No log 148.0 444 1.4658
No log 149.0 447 1.3886
No log 150.0 450 1.2982
No log 151.0 453 1.4142
No log 152.0 456 1.2366
No log 153.0 459 1.2230
No log 154.0 462 1.3656
No log 155.0 465 1.4812
No log 156.0 468 1.2443
No log 157.0 471 1.2218
No log 158.0 474 1.3217
No log 159.0 477 1.3993
No log 160.0 480 1.3864
No log 161.0 483 1.2077
No log 162.0 486 1.2481
No log 163.0 489 1.3556
No log 164.0 492 1.1640
No log 165.0 495 1.1620
No log 166.0 498 1.2727
1.2162 167.0 501 1.1838
1.2162 168.0 504 1.0709
1.2162 169.0 507 1.0883
1.2162 170.0 510 1.1733
1.2162 171.0 513 1.2025
1.2162 172.0 516 1.3599
1.2162 173.0 519 1.3350
1.2162 174.0 522 1.3010
1.2162 175.0 525 1.2787
1.2162 176.0 528 1.2670
1.2162 177.0 531 1.2521
1.2162 178.0 534 1.2622
1.2162 179.0 537 1.2749
1.2162 180.0 540 1.2721
1.2162 181.0 543 1.2187
1.2162 182.0 546 1.2258
1.2162 183.0 549 1.2876
1.2162 184.0 552 1.3767
1.2162 185.0 555 1.2188
1.2162 186.0 558 1.2045
1.2162 187.0 561 1.3579
1.2162 188.0 564 1.3865
1.2162 189.0 567 1.3394
1.2162 190.0 570 1.4071
1.2162 191.0 573 1.2541
1.2162 192.0 576 1.2831
1.2162 193.0 579 1.3669
1.2162 194.0 582 1.3352
1.2162 195.0 585 1.2645
1.2162 196.0 588 1.3197
1.2162 197.0 591 1.2828
1.2162 198.0 594 1.2481
1.2162 199.0 597 1.3157
1.2162 200.0 600 1.3786
1.2162 201.0 603 1.1423
1.2162 202.0 606 1.1148
1.2162 203.0 609 1.2952
1.2162 204.0 612 1.4513
1.2162 205.0 615 1.2864
1.2162 206.0 618 1.1797
1.2162 207.0 621 1.2044
1.2162 208.0 624 1.2832
1.2162 209.0 627 1.3439
1.2162 210.0 630 1.2945
1.2162 211.0 633 1.2505
1.2162 212.0 636 1.3416
1.2162 213.0 639 1.4229
1.2162 214.0 642 1.4208
1.2162 215.0 645 1.4262
1.2162 216.0 648 1.3644
1.2162 217.0 651 1.3013
1.2162 218.0 654 1.3661
1.2162 219.0 657 1.3697
1.2162 220.0 660 1.2956
1.2162 221.0 663 1.2354
1.2162 222.0 666 1.2672
1.2162 223.0 669 1.2872
1.2162 224.0 672 1.2958
1.2162 225.0 675 1.2868
1.2162 226.0 678 1.3671
1.2162 227.0 681 1.3249
1.2162 228.0 684 1.2063
1.2162 229.0 687 1.1528
1.2162 230.0 690 1.3187
1.2162 231.0 693 1.3855
1.2162 232.0 696 1.2112
1.2162 233.0 699 1.1696
1.2162 234.0 702 1.2587
1.2162 235.0 705 1.3618
1.2162 236.0 708 1.3278
1.2162 237.0 711 1.2569
1.2162 238.0 714 1.2116
1.2162 239.0 717 1.2680
1.2162 240.0 720 1.2957
1.2162 241.0 723 1.2091
1.2162 242.0 726 1.2165
1.2162 243.0 729 1.3064
1.2162 244.0 732 1.3418
1.2162 245.0 735 1.2615
1.2162 246.0 738 1.2019
1.2162 247.0 741 1.3079
1.2162 248.0 744 1.4366
1.2162 249.0 747 1.4877
1.2162 250.0 750 1.2540
1.2162 251.0 753 1.1401
1.2162 252.0 756 1.1807
1.2162 253.0 759 1.2318
1.2162 254.0 762 1.2673
1.2162 255.0 765 1.1559
1.2162 256.0 768 1.1597
1.2162 257.0 771 1.2098
1.2162 258.0 774 1.3044
1.2162 259.0 777 1.3922
1.2162 260.0 780 1.3851
1.2162 261.0 783 1.2521
1.2162 262.0 786 1.1972
1.2162 263.0 789 1.1917
1.2162 264.0 792 1.2397
1.2162 265.0 795 1.2475
1.2162 266.0 798 1.2223
1.2162 267.0 801 1.1236
1.2162 268.0 804 1.1601
1.2162 269.0 807 1.2181
1.2162 270.0 810 1.3909
1.2162 271.0 813 1.4345
1.2162 272.0 816 1.2946
1.2162 273.0 819 1.2986
1.2162 274.0 822 1.3205
1.2162 275.0 825 1.3303
1.2162 276.0 828 1.3172
1.2162 277.0 831 1.3153
1.2162 278.0 834 1.4371
1.2162 279.0 837 1.4931
1.2162 280.0 840 1.4064
1.2162 281.0 843 1.2293
1.2162 282.0 846 1.1418
1.2162 283.0 849 1.1781
1.2162 284.0 852 1.2730
1.2162 285.0 855 1.2313
1.2162 286.0 858 1.1432
1.2162 287.0 861 1.1192
1.2162 288.0 864 1.1433
1.2162 289.0 867 1.2398
1.2162 290.0 870 1.3305
1.2162 291.0 873 1.2863
1.2162 292.0 876 1.2414
1.2162 293.0 879 1.1992
1.2162 294.0 882 1.2096
1.2162 295.0 885 1.3333
1.2162 296.0 888 1.4855
1.2162 297.0 891 1.4089
1.2162 298.0 894 1.2603
1.2162 299.0 897 1.2206
1.2162 300.0 900 1.3093
1.2162 301.0 903 1.3718
1.2162 302.0 906 1.3228
1.2162 303.0 909 1.2370
1.2162 304.0 912 1.1575
1.2162 305.0 915 1.1498
1.2162 306.0 918 1.2042
1.2162 307.0 921 1.3822
1.2162 308.0 924 1.4627
1.2162 309.0 927 1.3712
1.2162 310.0 930 1.3133
1.2162 311.0 933 1.2560
1.2162 312.0 936 1.2977
1.2162 313.0 939 1.4057
1.2162 314.0 942 1.4639
1.2162 315.0 945 1.3491
1.2162 316.0 948 1.2304
1.2162 317.0 951 1.2247
1.2162 318.0 954 1.3081
1.2162 319.0 957 1.3456
1.2162 320.0 960 1.3814
1.2162 321.0 963 1.3988
1.2162 322.0 966 1.3096
1.2162 323.0 969 1.2534
1.2162 324.0 972 1.2976
1.2162 325.0 975 1.3190
1.2162 326.0 978 1.2385
1.2162 327.0 981 1.1904
1.2162 328.0 984 1.2088
1.2162 329.0 987 1.2338
1.2162 330.0 990 1.2569
1.2162 331.0 993 1.2810
1.2162 332.0 996 1.2614
1.2162 333.0 999 1.2364
0.6027 334.0 1002 1.2698
0.6027 335.0 1005 1.2656
0.6027 336.0 1008 1.2304
0.6027 337.0 1011 1.2487
0.6027 338.0 1014 1.2335
0.6027 339.0 1017 1.2070
0.6027 340.0 1020 1.1861
0.6027 341.0 1023 1.2174
0.6027 342.0 1026 1.3044
0.6027 343.0 1029 1.4261
0.6027 344.0 1032 1.4415
0.6027 345.0 1035 1.2483
0.6027 346.0 1038 1.1422
0.6027 347.0 1041 1.1283
0.6027 348.0 1044 1.2030
0.6027 349.0 1047 1.3278
0.6027 350.0 1050 1.3682
0.6027 351.0 1053 1.3006
0.6027 352.0 1056 1.2266
0.6027 353.0 1059 1.2314
0.6027 354.0 1062 1.2663
0.6027 355.0 1065 1.3043
0.6027 356.0 1068 1.3822
0.6027 357.0 1071 1.3731
0.6027 358.0 1074 1.3056
0.6027 359.0 1077 1.2599
0.6027 360.0 1080 1.2127
0.6027 361.0 1083 1.1976
0.6027 362.0 1086 1.1763
0.6027 363.0 1089 1.1600
0.6027 364.0 1092 1.1661
0.6027 365.0 1095 1.2364
0.6027 366.0 1098 1.3646
0.6027 367.0 1101 1.3731
0.6027 368.0 1104 1.3626
0.6027 369.0 1107 1.2834
0.6027 370.0 1110 1.1932
0.6027 371.0 1113 1.1426
0.6027 372.0 1116 1.1780
0.6027 373.0 1119 1.2530
0.6027 374.0 1122 1.3219
0.6027 375.0 1125 1.3376
0.6027 376.0 1128 1.3394
0.6027 377.0 1131 1.3233
0.6027 378.0 1134 1.3722
0.6027 379.0 1137 1.3659
0.6027 380.0 1140 1.3334
0.6027 381.0 1143 1.3039
0.6027 382.0 1146 1.2726
0.6027 383.0 1149 1.2336
0.6027 384.0 1152 1.2345
0.6027 385.0 1155 1.2710
0.6027 386.0 1158 1.2617
0.6027 387.0 1161 1.2739
0.6027 388.0 1164 1.2888
0.6027 389.0 1167 1.2827
0.6027 390.0 1170 1.2358
0.6027 391.0 1173 1.2043
0.6027 392.0 1176 1.1972
0.6027 393.0 1179 1.2440
0.6027 394.0 1182 1.2507
0.6027 395.0 1185 1.2790
0.6027 396.0 1188 1.2946
0.6027 397.0 1191 1.2702
0.6027 398.0 1194 1.2342
0.6027 399.0 1197 1.2329
0.6027 400.0 1200 1.2447
0.6027 401.0 1203 1.2701
0.6027 402.0 1206 1.2424
0.6027 403.0 1209 1.2076
0.6027 404.0 1212 1.1788
0.6027 405.0 1215 1.1773
0.6027 406.0 1218 1.2095
0.6027 407.0 1221 1.2274
0.6027 408.0 1224 1.2779
0.6027 409.0 1227 1.3229
0.6027 410.0 1230 1.3349
0.6027 411.0 1233 1.3633
0.6027 412.0 1236 1.3390
0.6027 413.0 1239 1.2961
0.6027 414.0 1242 1.2562
0.6027 415.0 1245 1.2037
0.6027 416.0 1248 1.1851
0.6027 417.0 1251 1.2150
0.6027 418.0 1254 1.2337
0.6027 419.0 1257 1.2879
0.6027 420.0 1260 1.3179
0.6027 421.0 1263 1.2644
0.6027 422.0 1266 1.2368
0.6027 423.0 1269 1.2071
0.6027 424.0 1272 1.1892
0.6027 425.0 1275 1.1993
0.6027 426.0 1278 1.1903
0.6027 427.0 1281 1.1795
0.6027 428.0 1284 1.2739
0.6027 429.0 1287 1.4445
0.6027 430.0 1290 1.4577
0.6027 431.0 1293 1.3337
0.6027 432.0 1296 1.2070
0.6027 433.0 1299 1.1450
0.6027 434.0 1302 1.1559
0.6027 435.0 1305 1.1922
0.6027 436.0 1308 1.2026
0.6027 437.0 1311 1.2103
0.6027 438.0 1314 1.1893
0.6027 439.0 1317 1.1543
0.6027 440.0 1320 1.1426
0.6027 441.0 1323 1.1570
0.6027 442.0 1326 1.1924
0.6027 443.0 1329 1.2276
0.6027 444.0 1332 1.2368
0.6027 445.0 1335 1.2033
0.6027 446.0 1338 1.1523
0.6027 447.0 1341 1.1113
0.6027 448.0 1344 1.0830
0.6027 449.0 1347 1.0838
0.6027 450.0 1350 1.1216
0.6027 451.0 1353 1.2278
0.6027 452.0 1356 1.3235
0.6027 453.0 1359 1.3915
0.6027 454.0 1362 1.3815
0.6027 455.0 1365 1.3344
0.6027 456.0 1368 1.2771
0.6027 457.0 1371 1.2489
0.6027 458.0 1374 1.2380
0.6027 459.0 1377 1.2727
0.6027 460.0 1380 1.2965
0.6027 461.0 1383 1.2394
0.6027 462.0 1386 1.1840
0.6027 463.0 1389 1.1688
0.6027 464.0 1392 1.1889
0.6027 465.0 1395 1.2288
0.6027 466.0 1398 1.2761
0.6027 467.0 1401 1.2677
0.6027 468.0 1404 1.2358
0.6027 469.0 1407 1.2216
0.6027 470.0 1410 1.2024
0.6027 471.0 1413 1.1715
0.6027 472.0 1416 1.1574
0.6027 473.0 1419 1.1502
0.6027 474.0 1422 1.1411
0.6027 475.0 1425 1.1593
0.6027 476.0 1428 1.1925
0.6027 477.0 1431 1.2575
0.6027 478.0 1434 1.2916
0.6027 479.0 1437 1.2319
0.6027 480.0 1440 1.1598
0.6027 481.0 1443 1.1294
0.6027 482.0 1446 1.1378
0.6027 483.0 1449 1.1940
0.6027 484.0 1452 1.2335
0.6027 485.0 1455 1.2432
0.6027 486.0 1458 1.2579
0.6027 487.0 1461 1.2750
0.6027 488.0 1464 1.3032
0.6027 489.0 1467 1.3035
0.6027 490.0 1470 1.2572
0.6027 491.0 1473 1.1945
0.6027 492.0 1476 1.1813
0.6027 493.0 1479 1.1825
0.6027 494.0 1482 1.2020
0.6027 495.0 1485 1.2308
0.6027 496.0 1488 1.3193
0.6027 497.0 1491 1.3430
0.6027 498.0 1494 1.3259
0.6027 499.0 1497 1.3193
0.5944 500.0 1500 1.3335
0.5944 501.0 1503 1.3150
0.5944 502.0 1506 1.3196
0.5944 503.0 1509 1.3205
0.5944 504.0 1512 1.3112
0.5944 505.0 1515 1.3149
0.5944 506.0 1518 1.3177
0.5944 507.0 1521 1.3219
0.5944 508.0 1524 1.3145
0.5944 509.0 1527 1.3308
0.5944 510.0 1530 1.3668
0.5944 511.0 1533 1.3518
0.5944 512.0 1536 1.3456
0.5944 513.0 1539 1.3799
0.5944 514.0 1542 1.3541
0.5944 515.0 1545 1.2939
0.5944 516.0 1548 1.2440
0.5944 517.0 1551 1.2067
0.5944 518.0 1554 1.2030
0.5944 519.0 1557 1.2266
0.5944 520.0 1560 1.2721
0.5944 521.0 1563 1.3094
0.5944 522.0 1566 1.3184
0.5944 523.0 1569 1.2774
0.5944 524.0 1572 1.2481
0.5944 525.0 1575 1.2738
0.5944 526.0 1578 1.2902
0.5944 527.0 1581 1.3123
0.5944 528.0 1584 1.3636
0.5944 529.0 1587 1.4190
0.5944 530.0 1590 1.3975
0.5944 531.0 1593 1.3585
0.5944 532.0 1596 1.2997
0.5944 533.0 1599 1.2431
0.5944 534.0 1602 1.2113
0.5944 535.0 1605 1.2067
0.5944 536.0 1608 1.2184
0.5944 537.0 1611 1.2590
0.5944 538.0 1614 1.3079
0.5944 539.0 1617 1.3504
0.5944 540.0 1620 1.4148
0.5944 541.0 1623 1.4638
0.5944 542.0 1626 1.4433
0.5944 543.0 1629 1.3960
0.5944 544.0 1632 1.3668
0.5944 545.0 1635 1.3278
0.5944 546.0 1638 1.3091
0.5944 547.0 1641 1.3051
0.5944 548.0 1644 1.3314
0.5944 549.0 1647 1.3956
0.5944 550.0 1650 1.4376
0.5944 551.0 1653 1.4370
0.5944 552.0 1656 1.4136
0.5944 553.0 1659 1.3899
0.5944 554.0 1662 1.3554
0.5944 555.0 1665 1.3140
0.5944 556.0 1668 1.2804
0.5944 557.0 1671 1.2542
0.5944 558.0 1674 1.2323
0.5944 559.0 1677 1.2551
0.5944 560.0 1680 1.2822
0.5944 561.0 1683 1.3115
0.5944 562.0 1686 1.3283
0.5944 563.0 1689 1.3012
0.5944 564.0 1692 1.2631
0.5944 565.0 1695 1.2382
0.5944 566.0 1698 1.2400
0.5944 567.0 1701 1.2665
0.5944 568.0 1704 1.3340
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0.5944 631.0 1893 1.3417
0.5944 632.0 1896 1.3481
0.5944 633.0 1899 1.3714
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0.5944 635.0 1905 1.3585
0.5944 636.0 1908 1.3495
0.5944 637.0 1911 1.3367
0.5944 638.0 1914 1.3388
0.5944 639.0 1917 1.3803
0.5944 640.0 1920 1.4244
0.5944 641.0 1923 1.4492
0.5944 642.0 1926 1.4547
0.5944 643.0 1929 1.4064
0.5944 644.0 1932 1.3751
0.5944 645.0 1935 1.3736
0.5944 646.0 1938 1.3477
0.5944 647.0 1941 1.3216
0.5944 648.0 1944 1.3038
0.5944 649.0 1947 1.3073
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0.5944 651.0 1953 1.4295
0.5944 652.0 1956 1.4882
0.5944 653.0 1959 1.4951
0.5944 654.0 1962 1.4485
0.5944 655.0 1965 1.3914
0.5944 656.0 1968 1.3436
0.5944 657.0 1971 1.3058
0.5944 658.0 1974 1.2814
0.5944 659.0 1977 1.2814
0.5944 660.0 1980 1.2969
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0.5944 662.0 1986 1.3504
0.5944 663.0 1989 1.3722
0.5944 664.0 1992 1.3912
0.5944 665.0 1995 1.4130
0.5944 666.0 1998 1.4268
0.5909 667.0 2001 1.4114
0.5909 668.0 2004 1.3909
0.5909 669.0 2007 1.3607
0.5909 670.0 2010 1.3385
0.5909 671.0 2013 1.3028
0.5909 672.0 2016 1.2786
0.5909 673.0 2019 1.2751
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0.5872 910.0 2730 1.1999
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0.5872 991.0 2973 1.1903
0.5872 992.0 2976 1.1900
0.5872 993.0 2979 1.1894
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0.5872 996.0 2988 1.1878
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0.5872 999.0 2997 1.1878
0.5804 1000.0 3000 1.1878

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
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F32