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GQA_BERT_legal_SQuAD_complete_augmented_1000

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

  • Loss: 1.1590

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 5.1193
No log 2.0 6 4.5799
No log 3.0 9 3.9567
No log 4.0 12 3.6237
No log 5.0 15 3.1782
No log 6.0 18 2.8046
No log 7.0 21 2.5128
No log 8.0 24 2.2374
No log 9.0 27 2.0316
No log 10.0 30 1.8078
No log 11.0 33 1.6466
No log 12.0 36 1.4863
No log 13.0 39 1.3314
No log 14.0 42 1.2554
No log 15.0 45 1.1996
No log 16.0 48 1.1472
No log 17.0 51 1.1241
No log 18.0 54 1.1021
No log 19.0 57 1.0756
No log 20.0 60 1.0455
No log 21.0 63 1.0384
No log 22.0 66 1.0371
No log 23.0 69 1.0400
No log 24.0 72 1.0343
No log 25.0 75 1.0282
No log 26.0 78 1.0215
No log 27.0 81 1.0235
No log 28.0 84 1.0281
No log 29.0 87 1.0335
No log 30.0 90 1.0226
No log 31.0 93 1.0375
No log 32.0 96 1.0567
No log 33.0 99 1.0612
No log 34.0 102 1.0516
No log 35.0 105 1.0574
No log 36.0 108 1.0527
No log 37.0 111 1.0364
No log 38.0 114 1.0571
No log 39.0 117 1.0338
No log 40.0 120 1.0056
No log 41.0 123 1.0375
No log 42.0 126 1.0606
No log 43.0 129 1.0335
No log 44.0 132 1.0536
No log 45.0 135 1.0963
No log 46.0 138 1.0876
No log 47.0 141 1.0824
No log 48.0 144 1.0867
No log 49.0 147 1.0898
No log 50.0 150 1.0947
No log 51.0 153 1.0833
No log 52.0 156 1.0795
No log 53.0 159 1.0890
No log 54.0 162 1.1027
No log 55.0 165 1.0710
No log 56.0 168 1.1119
No log 57.0 171 1.1167
No log 58.0 174 1.1019
No log 59.0 177 1.1102
No log 60.0 180 1.1040
No log 61.0 183 1.0985
No log 62.0 186 1.1447
No log 63.0 189 1.1205
No log 64.0 192 1.1286
No log 65.0 195 1.1538
No log 66.0 198 1.1575
No log 67.0 201 1.1532
No log 68.0 204 1.1379
No log 69.0 207 1.1971
No log 70.0 210 1.1726
No log 71.0 213 1.1800
No log 72.0 216 1.1861
No log 73.0 219 1.1463
No log 74.0 222 1.1704
No log 75.0 225 1.1275
No log 76.0 228 1.0847
No log 77.0 231 1.1109
No log 78.0 234 1.1514
No log 79.0 237 1.1237
No log 80.0 240 1.1396
No log 81.0 243 1.1494
No log 82.0 246 1.0609
No log 83.0 249 1.1209
No log 84.0 252 1.1821
No log 85.0 255 1.0816
No log 86.0 258 1.1173
No log 87.0 261 1.1777
No log 88.0 264 1.1400
No log 89.0 267 1.2374
No log 90.0 270 1.2227
No log 91.0 273 1.1647
No log 92.0 276 1.3076
No log 93.0 279 1.2866
No log 94.0 282 1.1507
No log 95.0 285 1.1742
No log 96.0 288 1.2750
No log 97.0 291 1.1480
No log 98.0 294 1.0779
No log 99.0 297 1.1850
No log 100.0 300 1.1745
No log 101.0 303 1.0987
No log 102.0 306 1.1721
No log 103.0 309 1.1679
No log 104.0 312 1.1257
No log 105.0 315 1.1888
No log 106.0 318 1.2515
No log 107.0 321 1.1134
No log 108.0 324 1.0962
No log 109.0 327 1.1823
No log 110.0 330 1.2550
No log 111.0 333 1.1812
No log 112.0 336 1.1463
No log 113.0 339 1.2233
No log 114.0 342 1.2499
No log 115.0 345 1.1986
No log 116.0 348 1.2197
No log 117.0 351 1.1806
No log 118.0 354 1.2562
No log 119.0 357 1.1836
No log 120.0 360 1.1398
No log 121.0 363 1.1737
No log 122.0 366 1.1796
No log 123.0 369 1.1494
No log 124.0 372 1.1725
No log 125.0 375 1.1785
No log 126.0 378 1.1925
No log 127.0 381 1.2297
No log 128.0 384 1.1730
No log 129.0 387 1.2427
No log 130.0 390 1.3419
No log 131.0 393 1.2353
No log 132.0 396 1.1667
No log 133.0 399 1.2442
No log 134.0 402 1.3210
No log 135.0 405 1.3273
No log 136.0 408 1.2971
No log 137.0 411 1.3059
No log 138.0 414 1.2881
No log 139.0 417 1.2596
No log 140.0 420 1.2907
No log 141.0 423 1.4198
No log 142.0 426 1.2816
No log 143.0 429 1.2489
No log 144.0 432 1.2540
No log 145.0 435 1.2669
No log 146.0 438 1.1884
No log 147.0 441 1.1789
No log 148.0 444 1.1828
No log 149.0 447 1.2189
No log 150.0 450 1.2064
No log 151.0 453 1.1665
No log 152.0 456 1.1841
No log 153.0 459 1.2595
No log 154.0 462 1.2757
No log 155.0 465 1.2431
No log 156.0 468 1.2333
No log 157.0 471 1.2409
No log 158.0 474 1.2384
No log 159.0 477 1.1822
No log 160.0 480 1.1944
No log 161.0 483 1.1245
No log 162.0 486 1.1272
No log 163.0 489 1.1473
No log 164.0 492 1.1434
No log 165.0 495 1.2481
No log 166.0 498 1.2696
1.011 167.0 501 1.1787
1.011 168.0 504 1.1010
1.011 169.0 507 1.2381
1.011 170.0 510 1.3548
1.011 171.0 513 1.2571
1.011 172.0 516 1.1513
1.011 173.0 519 1.2023
1.011 174.0 522 1.3151
1.011 175.0 525 1.2439
1.011 176.0 528 1.1787
1.011 177.0 531 1.2082
1.011 178.0 534 1.1628
1.011 179.0 537 1.1537
1.011 180.0 540 1.1693
1.011 181.0 543 1.2020
1.011 182.0 546 1.2659
1.011 183.0 549 1.2523
1.011 184.0 552 1.2889
1.011 185.0 555 1.2769
1.011 186.0 558 1.1812
1.011 187.0 561 1.2795
1.011 188.0 564 1.3695
1.011 189.0 567 1.2992
1.011 190.0 570 1.1889
1.011 191.0 573 1.2498
1.011 192.0 576 1.3926
1.011 193.0 579 1.3189
1.011 194.0 582 1.2336
1.011 195.0 585 1.2429
1.011 196.0 588 1.3424
1.011 197.0 591 1.2656
1.011 198.0 594 1.1868
1.011 199.0 597 1.2422
1.011 200.0 600 1.3169
1.011 201.0 603 1.2882
1.011 202.0 606 1.2062
1.011 203.0 609 1.2312
1.011 204.0 612 1.2377
1.011 205.0 615 1.1899
1.011 206.0 618 1.2552
1.011 207.0 621 1.2026
1.011 208.0 624 1.1862
1.011 209.0 627 1.1977
1.011 210.0 630 1.1801
1.011 211.0 633 1.1900
1.011 212.0 636 1.3119
1.011 213.0 639 1.3340
1.011 214.0 642 1.2406
1.011 215.0 645 1.2233
1.011 216.0 648 1.2326
1.011 217.0 651 1.2835
1.011 218.0 654 1.2755
1.011 219.0 657 1.2479
1.011 220.0 660 1.2538
1.011 221.0 663 1.3152
1.011 222.0 666 1.2363
1.011 223.0 669 1.1776
1.011 224.0 672 1.2833
1.011 225.0 675 1.3166
1.011 226.0 678 1.1878
1.011 227.0 681 1.1190
1.011 228.0 684 1.2481
1.011 229.0 687 1.3140
1.011 230.0 690 1.1750
1.011 231.0 693 1.1255
1.011 232.0 696 1.1758
1.011 233.0 699 1.2614
1.011 234.0 702 1.2244
1.011 235.0 705 1.2471
1.011 236.0 708 1.2735
1.011 237.0 711 1.2557
1.011 238.0 714 1.1484
1.011 239.0 717 1.1619
1.011 240.0 720 1.2471
1.011 241.0 723 1.2403
1.011 242.0 726 1.2039
1.011 243.0 729 1.2126
1.011 244.0 732 1.2413
1.011 245.0 735 1.2021
1.011 246.0 738 1.1651
1.011 247.0 741 1.1945
1.011 248.0 744 1.1920
1.011 249.0 747 1.1741
1.011 250.0 750 1.1544
1.011 251.0 753 1.1757
1.011 252.0 756 1.2283
1.011 253.0 759 1.1520
1.011 254.0 762 1.1001
1.011 255.0 765 1.1319
1.011 256.0 768 1.2306
1.011 257.0 771 1.2233
1.011 258.0 774 1.1541
1.011 259.0 777 1.2105
1.011 260.0 780 1.2084
1.011 261.0 783 1.1656
1.011 262.0 786 1.1414
1.011 263.0 789 1.1738
1.011 264.0 792 1.2153
1.011 265.0 795 1.2846
1.011 266.0 798 1.2991
1.011 267.0 801 1.2698
1.011 268.0 804 1.2488
1.011 269.0 807 1.3379
1.011 270.0 810 1.3777
1.011 271.0 813 1.3034
1.011 272.0 816 1.2925
1.011 273.0 819 1.3598
1.011 274.0 822 1.3181
1.011 275.0 825 1.1246
1.011 276.0 828 1.0685
1.011 277.0 831 1.1546
1.011 278.0 834 1.2029
1.011 279.0 837 1.2433
1.011 280.0 840 1.3051
1.011 281.0 843 1.3124
1.011 282.0 846 1.2468
1.011 283.0 849 1.2155
1.011 284.0 852 1.2340
1.011 285.0 855 1.2815
1.011 286.0 858 1.3270
1.011 287.0 861 1.3363
1.011 288.0 864 1.3316
1.011 289.0 867 1.3048
1.011 290.0 870 1.2741
1.011 291.0 873 1.2994
1.011 292.0 876 1.3124
1.011 293.0 879 1.2510
1.011 294.0 882 1.2051
1.011 295.0 885 1.2394
1.011 296.0 888 1.2530
1.011 297.0 891 1.2104
1.011 298.0 894 1.1540
1.011 299.0 897 1.1353
1.011 300.0 900 1.1786
1.011 301.0 903 1.2086
1.011 302.0 906 1.2456
1.011 303.0 909 1.2706
1.011 304.0 912 1.3325
1.011 305.0 915 1.2892
1.011 306.0 918 1.2357
1.011 307.0 921 1.2447
1.011 308.0 924 1.3212
1.011 309.0 927 1.2885
1.011 310.0 930 1.2718
1.011 311.0 933 1.3002
1.011 312.0 936 1.2508
1.011 313.0 939 1.3075
1.011 314.0 942 1.3327
1.011 315.0 945 1.2802
1.011 316.0 948 1.1862
1.011 317.0 951 1.2011
1.011 318.0 954 1.2118
1.011 319.0 957 1.2621
1.011 320.0 960 1.3194
1.011 321.0 963 1.3178
1.011 322.0 966 1.3375
1.011 323.0 969 1.2784
1.011 324.0 972 1.2132
1.011 325.0 975 1.1895
1.011 326.0 978 1.2521
1.011 327.0 981 1.3398
1.011 328.0 984 1.2295
1.011 329.0 987 1.1417
1.011 330.0 990 1.1594
1.011 331.0 993 1.3099
1.011 332.0 996 1.3461
1.011 333.0 999 1.1772
0.5949 334.0 1002 1.0855
0.5949 335.0 1005 1.1587
0.5949 336.0 1008 1.2964
0.5949 337.0 1011 1.2694
0.5949 338.0 1014 1.2127
0.5949 339.0 1017 1.1815
0.5949 340.0 1020 1.1907
0.5949 341.0 1023 1.2233
0.5949 342.0 1026 1.1774
0.5949 343.0 1029 1.1496
0.5949 344.0 1032 1.1266
0.5949 345.0 1035 1.1182
0.5949 346.0 1038 1.1806
0.5949 347.0 1041 1.1528
0.5949 348.0 1044 1.1292
0.5949 349.0 1047 1.1044
0.5949 350.0 1050 1.1721
0.5949 351.0 1053 1.2474
0.5949 352.0 1056 1.2158
0.5949 353.0 1059 1.1859
0.5949 354.0 1062 1.1686
0.5949 355.0 1065 1.1558
0.5949 356.0 1068 1.1703
0.5949 357.0 1071 1.1504
0.5949 358.0 1074 1.1182
0.5949 359.0 1077 1.1441
0.5949 360.0 1080 1.1833
0.5949 361.0 1083 1.2068
0.5949 362.0 1086 1.1335
0.5949 363.0 1089 1.0419
0.5949 364.0 1092 1.0862
0.5949 365.0 1095 1.2001
0.5949 366.0 1098 1.2415
0.5949 367.0 1101 1.1930
0.5949 368.0 1104 1.1220
0.5949 369.0 1107 1.0307
0.5949 370.0 1110 1.0519
0.5949 371.0 1113 1.0704
0.5949 372.0 1116 1.0365
0.5949 373.0 1119 1.0087
0.5949 374.0 1122 0.9999
0.5949 375.0 1125 1.1072
0.5949 376.0 1128 1.1944
0.5949 377.0 1131 1.1771
0.5949 378.0 1134 1.1325
0.5949 379.0 1137 1.0533
0.5949 380.0 1140 1.0384
0.5949 381.0 1143 1.0943
0.5949 382.0 1146 1.2307
0.5949 383.0 1149 1.2407
0.5949 384.0 1152 1.1655
0.5949 385.0 1155 1.0630
0.5949 386.0 1158 1.0247
0.5949 387.0 1161 1.1115
0.5949 388.0 1164 1.1942
0.5949 389.0 1167 1.2013
0.5949 390.0 1170 1.1971
0.5949 391.0 1173 1.1855
0.5949 392.0 1176 1.1868
0.5949 393.0 1179 1.1613
0.5949 394.0 1182 1.1488
0.5949 395.0 1185 1.1648
0.5949 396.0 1188 1.1688
0.5949 397.0 1191 1.1526
0.5949 398.0 1194 1.1241
0.5949 399.0 1197 1.0765
0.5949 400.0 1200 1.0983
0.5949 401.0 1203 1.1407
0.5949 402.0 1206 1.1459
0.5949 403.0 1209 1.1184
0.5949 404.0 1212 1.0951
0.5949 405.0 1215 1.0853
0.5949 406.0 1218 1.0962
0.5949 407.0 1221 1.1022
0.5949 408.0 1224 1.0818
0.5949 409.0 1227 1.0528
0.5949 410.0 1230 1.0500
0.5949 411.0 1233 1.0918
0.5949 412.0 1236 1.0624
0.5949 413.0 1239 1.0452
0.5949 414.0 1242 1.0485
0.5949 415.0 1245 1.0624
0.5949 416.0 1248 1.1062
0.5949 417.0 1251 1.1095
0.5949 418.0 1254 1.0988
0.5949 419.0 1257 1.0867
0.5949 420.0 1260 1.0873
0.5949 421.0 1263 1.0577
0.5949 422.0 1266 1.0998
0.5949 423.0 1269 1.1579
0.5949 424.0 1272 1.1373
0.5949 425.0 1275 1.1138
0.5949 426.0 1278 1.0807
0.5949 427.0 1281 1.0137
0.5949 428.0 1284 1.0083
0.5949 429.0 1287 1.0493
0.5949 430.0 1290 1.1223
0.5949 431.0 1293 1.1817
0.5949 432.0 1296 1.1060
0.5949 433.0 1299 1.0584
0.5949 434.0 1302 1.0634
0.5949 435.0 1305 1.1070
0.5949 436.0 1308 1.1183
0.5949 437.0 1311 1.0928
0.5949 438.0 1314 1.0754
0.5949 439.0 1317 1.0556
0.5949 440.0 1320 1.0317
0.5949 441.0 1323 1.0036
0.5949 442.0 1326 1.0292
0.5949 443.0 1329 1.1790
0.5949 444.0 1332 1.2675
0.5949 445.0 1335 1.2144
0.5949 446.0 1338 1.0888
0.5949 447.0 1341 1.0147
0.5949 448.0 1344 1.0074
0.5949 449.0 1347 1.0412
0.5949 450.0 1350 1.0851
0.5949 451.0 1353 1.1087
0.5949 452.0 1356 1.1293
0.5949 453.0 1359 1.1286
0.5949 454.0 1362 1.0910
0.5949 455.0 1365 1.0787
0.5949 456.0 1368 1.1053
0.5949 457.0 1371 1.1651
0.5949 458.0 1374 1.2237
0.5949 459.0 1377 1.2137
0.5949 460.0 1380 1.1833
0.5949 461.0 1383 1.1378
0.5949 462.0 1386 1.0625
0.5949 463.0 1389 1.0437
0.5949 464.0 1392 1.0432
0.5949 465.0 1395 1.1278
0.5949 466.0 1398 1.2145
0.5949 467.0 1401 1.2425
0.5949 468.0 1404 1.2570
0.5949 469.0 1407 1.2285
0.5949 470.0 1410 1.2091
0.5949 471.0 1413 1.1901
0.5949 472.0 1416 1.2086
0.5949 473.0 1419 1.2434
0.5949 474.0 1422 1.2743
0.5949 475.0 1425 1.2743
0.5949 476.0 1428 1.2380
0.5949 477.0 1431 1.1984
0.5949 478.0 1434 1.1687
0.5949 479.0 1437 1.1170
0.5949 480.0 1440 1.1537
0.5949 481.0 1443 1.1691
0.5949 482.0 1446 1.1855
0.5949 483.0 1449 1.2248
0.5949 484.0 1452 1.2351
0.5949 485.0 1455 1.2162
0.5949 486.0 1458 1.1853
0.5949 487.0 1461 1.1756
0.5949 488.0 1464 1.1743
0.5949 489.0 1467 1.1563
0.5949 490.0 1470 1.1135
0.5949 491.0 1473 1.1080
0.5949 492.0 1476 1.1491
0.5949 493.0 1479 1.2150
0.5949 494.0 1482 1.2236
0.5949 495.0 1485 1.1843
0.5949 496.0 1488 1.1380
0.5949 497.0 1491 1.1301
0.5949 498.0 1494 1.1271
0.5949 499.0 1497 1.1288
0.571 500.0 1500 1.1521
0.571 501.0 1503 1.1695
0.571 502.0 1506 1.1846
0.571 503.0 1509 1.1920
0.571 504.0 1512 1.2064
0.571 505.0 1515 1.1979
0.571 506.0 1518 1.1894
0.571 507.0 1521 1.1961
0.571 508.0 1524 1.1673
0.571 509.0 1527 1.1427
0.571 510.0 1530 1.0826
0.571 511.0 1533 1.0712
0.571 512.0 1536 1.0924
0.571 513.0 1539 1.1014
0.571 514.0 1542 1.0983
0.571 515.0 1545 1.1061
0.571 516.0 1548 1.1573
0.571 517.0 1551 1.1913
0.571 518.0 1554 1.2075
0.571 519.0 1557 1.2028
0.571 520.0 1560 1.1595
0.571 521.0 1563 1.1596
0.571 522.0 1566 1.1658
0.571 523.0 1569 1.1231
0.571 524.0 1572 1.0694
0.571 525.0 1575 1.0454
0.571 526.0 1578 1.0508
0.571 527.0 1581 1.0686
0.571 528.0 1584 1.0965
0.571 529.0 1587 1.1343
0.571 530.0 1590 1.1618
0.571 531.0 1593 1.1807
0.571 532.0 1596 1.1774
0.571 533.0 1599 1.1541
0.571 534.0 1602 1.1005
0.571 535.0 1605 1.0268
0.571 536.0 1608 0.9818
0.571 537.0 1611 0.9613
0.571 538.0 1614 0.9870
0.571 539.0 1617 1.0816
0.571 540.0 1620 1.1666
0.571 541.0 1623 1.2139
0.571 542.0 1626 1.2001
0.571 543.0 1629 1.1493
0.571 544.0 1632 1.1064
0.571 545.0 1635 1.0677
0.571 546.0 1638 1.0399
0.571 547.0 1641 1.0606
0.571 548.0 1644 1.0844
0.571 549.0 1647 1.0929
0.571 550.0 1650 1.1143
0.571 551.0 1653 1.1430
0.571 552.0 1656 1.1389
0.571 553.0 1659 1.1146
0.571 554.0 1662 1.0844
0.571 555.0 1665 1.0515
0.571 556.0 1668 0.9798
0.571 557.0 1671 0.9584
0.571 558.0 1674 0.9507
0.571 559.0 1677 0.9697
0.571 560.0 1680 1.0111
0.571 561.0 1683 1.1366
0.571 562.0 1686 1.1931
0.571 563.0 1689 1.2054
0.571 564.0 1692 1.1996
0.571 565.0 1695 1.1912
0.571 566.0 1698 1.1710
0.571 567.0 1701 1.1521
0.571 568.0 1704 1.1221
0.571 569.0 1707 1.0651
0.571 570.0 1710 1.0452
0.571 571.0 1713 1.0838
0.571 572.0 1716 1.1103
0.571 573.0 1719 1.1390
0.571 574.0 1722 1.1774
0.571 575.0 1725 1.1868
0.571 576.0 1728 1.1772
0.571 577.0 1731 1.1650
0.571 578.0 1734 1.1581
0.571 579.0 1737 1.1599
0.571 580.0 1740 1.1636
0.571 581.0 1743 1.1610
0.571 582.0 1746 1.1555
0.571 583.0 1749 1.1448
0.571 584.0 1752 1.1494
0.571 585.0 1755 1.1522
0.571 586.0 1758 1.1509
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0.5609 669.0 2007 1.1843
0.5609 670.0 2010 1.1988
0.5609 671.0 2013 1.2119
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0.5599 991.0 2973 1.1550
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Framework versions

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