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GQA_RoBERTa_legal_SQuAD_complete_augmented_2000

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

  • Loss: 1.1761

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: 128
  • eval_batch_size: 32
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 2000

Training results

Training Loss Epoch Step Validation Loss
No log 1.0 4 3.7756
No log 2.0 8 3.1205
No log 3.0 12 2.7419
No log 4.0 16 2.3978
No log 5.0 20 2.0572
No log 6.0 24 1.9690
No log 7.0 28 1.6922
No log 8.0 32 1.4999
No log 9.0 36 1.4624
No log 10.0 40 1.1915
No log 11.0 44 1.1501
No log 12.0 48 0.9852
No log 13.0 52 0.9573
No log 14.0 56 0.9131
No log 15.0 60 0.8843
No log 16.0 64 0.7765
No log 17.0 68 0.7787
No log 18.0 72 0.7613
No log 19.0 76 0.7610
No log 20.0 80 0.7447
No log 21.0 84 0.7049
No log 22.0 88 0.7030
No log 23.0 92 0.7066
No log 24.0 96 0.7073
No log 25.0 100 0.7238
No log 26.0 104 0.7560
No log 27.0 108 0.7350
No log 28.0 112 0.7325
No log 29.0 116 0.7513
No log 30.0 120 0.7656
No log 31.0 124 0.7594
No log 32.0 128 0.7744
No log 33.0 132 0.7835
No log 34.0 136 0.7608
No log 35.0 140 0.7423
No log 36.0 144 0.7543
No log 37.0 148 0.7305
No log 38.0 152 0.7398
No log 39.0 156 0.7364
No log 40.0 160 0.7313
No log 41.0 164 0.7163
No log 42.0 168 0.7181
No log 43.0 172 0.7243
No log 44.0 176 0.7259
No log 45.0 180 0.7980
No log 46.0 184 0.7784
No log 47.0 188 0.7271
No log 48.0 192 0.7014
No log 49.0 196 0.7110
No log 50.0 200 0.7621
No log 51.0 204 0.7851
No log 52.0 208 0.7917
No log 53.0 212 0.7877
No log 54.0 216 0.8123
No log 55.0 220 0.8462
No log 56.0 224 0.8405
No log 57.0 228 0.8330
No log 58.0 232 0.8115
No log 59.0 236 0.8067
No log 60.0 240 0.8457
No log 61.0 244 0.9419
No log 62.0 248 0.9387
No log 63.0 252 0.9612
No log 64.0 256 0.9213
No log 65.0 260 0.9035
No log 66.0 264 0.8863
No log 67.0 268 0.8914
No log 68.0 272 0.9060
No log 69.0 276 0.9424
No log 70.0 280 0.9367
No log 71.0 284 0.9201
No log 72.0 288 0.9070
No log 73.0 292 0.9037
No log 74.0 296 0.9116
No log 75.0 300 0.9108
No log 76.0 304 0.9139
No log 77.0 308 0.9506
No log 78.0 312 0.9703
No log 79.0 316 0.9848
No log 80.0 320 0.9586
No log 81.0 324 0.9591
No log 82.0 328 0.9678
No log 83.0 332 0.9951
No log 84.0 336 0.9788
No log 85.0 340 0.9374
No log 86.0 344 0.9085
No log 87.0 348 0.8789
No log 88.0 352 0.8838
No log 89.0 356 0.8711
No log 90.0 360 0.8792
No log 91.0 364 0.8904
No log 92.0 368 0.9014
No log 93.0 372 0.9518
No log 94.0 376 0.9872
No log 95.0 380 0.9193
No log 96.0 384 0.8909
No log 97.0 388 0.8989
No log 98.0 392 0.9064
No log 99.0 396 0.9341
No log 100.0 400 0.9550
No log 101.0 404 0.9706
No log 102.0 408 1.0495
No log 103.0 412 1.0350
No log 104.0 416 0.9688
No log 105.0 420 0.9610
No log 106.0 424 0.9537
No log 107.0 428 0.9579
No log 108.0 432 0.9877
No log 109.0 436 1.0223
No log 110.0 440 1.0488
No log 111.0 444 1.0673
No log 112.0 448 0.9968
No log 113.0 452 1.0307
No log 114.0 456 1.0888
No log 115.0 460 1.0773
No log 116.0 464 1.0990
No log 117.0 468 1.1120
No log 118.0 472 1.0821
No log 119.0 476 1.0407
No log 120.0 480 1.0365
No log 121.0 484 1.0269
No log 122.0 488 0.9804
No log 123.0 492 0.9752
No log 124.0 496 0.9785
0.9513 125.0 500 0.9739
0.9513 126.0 504 0.9894
0.9513 127.0 508 1.0625
0.9513 128.0 512 1.0423
0.9513 129.0 516 1.0479
0.9513 130.0 520 1.0725
0.9513 131.0 524 1.1035
0.9513 132.0 528 1.0921
0.9513 133.0 532 0.9806
0.9513 134.0 536 0.9012
0.9513 135.0 540 0.9527
0.9513 136.0 544 1.0029
0.9513 137.0 548 1.0212
0.9513 138.0 552 1.0392
0.9513 139.0 556 0.9753
0.9513 140.0 560 0.9817
0.9513 141.0 564 0.9755
0.9513 142.0 568 0.9933
0.9513 143.0 572 1.0276
0.9513 144.0 576 1.0285
0.9513 145.0 580 1.0276
0.9513 146.0 584 1.0582
0.9513 147.0 588 1.0810
0.9513 148.0 592 1.0618
0.9513 149.0 596 1.0152
0.9513 150.0 600 1.0553
0.9513 151.0 604 1.0921
0.9513 152.0 608 1.0401
0.9513 153.0 612 0.9760
0.9513 154.0 616 0.9576
0.9513 155.0 620 0.9523
0.9513 156.0 624 0.9901
0.9513 157.0 628 0.9793
0.9513 158.0 632 0.9726
0.9513 159.0 636 0.9676
0.9513 160.0 640 1.0070
0.9513 161.0 644 1.0107
0.9513 162.0 648 1.0067
0.9513 163.0 652 1.0042
0.9513 164.0 656 0.9888
0.9513 165.0 660 0.9758
0.9513 166.0 664 0.9983
0.9513 167.0 668 1.0273
0.9513 168.0 672 1.0220
0.9513 169.0 676 1.0063
0.9513 170.0 680 0.9852
0.9513 171.0 684 1.0590
0.9513 172.0 688 1.1016
0.9513 173.0 692 1.0622
0.9513 174.0 696 1.0408
0.9513 175.0 700 1.0156
0.9513 176.0 704 1.0073
0.9513 177.0 708 1.0284
0.9513 178.0 712 1.0398
0.9513 179.0 716 0.9925
0.9513 180.0 720 1.0192
0.9513 181.0 724 1.0434
0.9513 182.0 728 1.0429
0.9513 183.0 732 1.0614
0.9513 184.0 736 1.0663
0.9513 185.0 740 1.0529
0.9513 186.0 744 1.0479
0.9513 187.0 748 1.0352
0.9513 188.0 752 1.0374
0.9513 189.0 756 1.0061
0.9513 190.0 760 0.9905
0.9513 191.0 764 0.9959
0.9513 192.0 768 1.0204
0.9513 193.0 772 1.0509
0.9513 194.0 776 1.0616
0.9513 195.0 780 1.0709
0.9513 196.0 784 1.0794
0.9513 197.0 788 1.0797
0.9513 198.0 792 1.0722
0.9513 199.0 796 1.0697
0.9513 200.0 800 1.0759
0.9513 201.0 804 1.0787
0.9513 202.0 808 1.1036
0.9513 203.0 812 1.1021
0.9513 204.0 816 1.1088
0.9513 205.0 820 1.1201
0.9513 206.0 824 1.1168
0.9513 207.0 828 1.1030
0.9513 208.0 832 1.0986
0.9513 209.0 836 1.0953
0.9513 210.0 840 1.0708
0.9513 211.0 844 1.0704
0.9513 212.0 848 1.0681
0.9513 213.0 852 1.0676
0.9513 214.0 856 1.0789
0.9513 215.0 860 1.1193
0.9513 216.0 864 1.1378
0.9513 217.0 868 1.1566
0.9513 218.0 872 1.1650
0.9513 219.0 876 1.1268
0.9513 220.0 880 1.1152
0.9513 221.0 884 1.0909
0.9513 222.0 888 1.0778
0.9513 223.0 892 1.0819
0.9513 224.0 896 1.1042
0.9513 225.0 900 1.1532
0.9513 226.0 904 1.1695
0.9513 227.0 908 1.1730
0.9513 228.0 912 1.1549
0.9513 229.0 916 1.1318
0.9513 230.0 920 1.1319
0.9513 231.0 924 1.1306
0.9513 232.0 928 1.1583
0.9513 233.0 932 1.1915
0.9513 234.0 936 1.2038
0.9513 235.0 940 1.1877
0.9513 236.0 944 1.1775
0.9513 237.0 948 1.1820
0.9513 238.0 952 1.1885
0.9513 239.0 956 1.2012
0.9513 240.0 960 1.2013
0.9513 241.0 964 1.1876
0.9513 242.0 968 1.1801
0.9513 243.0 972 1.1799
0.9513 244.0 976 1.1711
0.9513 245.0 980 1.1550
0.9513 246.0 984 1.1499
0.9513 247.0 988 1.1303
0.9513 248.0 992 1.1138
0.9513 249.0 996 1.1351
0.4059 250.0 1000 1.1635
0.4059 251.0 1004 1.1975
0.4059 252.0 1008 1.2352
0.4059 253.0 1012 1.2442
0.4059 254.0 1016 1.2108
0.4059 255.0 1020 1.1813
0.4059 256.0 1024 1.1469
0.4059 257.0 1028 1.0936
0.4059 258.0 1032 1.0322
0.4059 259.0 1036 1.0076
0.4059 260.0 1040 1.0304
0.4059 261.0 1044 1.0946
0.4059 262.0 1048 1.1132
0.4059 263.0 1052 1.1231
0.4059 264.0 1056 1.1268
0.4059 265.0 1060 1.1290
0.4059 266.0 1064 1.1261
0.4059 267.0 1068 1.1095
0.4059 268.0 1072 1.0643
0.4059 269.0 1076 1.0283
0.4059 270.0 1080 1.0181
0.4059 271.0 1084 1.0670
0.4059 272.0 1088 1.1049
0.4059 273.0 1092 1.1309
0.4059 274.0 1096 1.1533
0.4059 275.0 1100 1.1767
0.4059 276.0 1104 1.1846
0.4059 277.0 1108 1.1899
0.4059 278.0 1112 1.1834
0.4059 279.0 1116 1.2054
0.4059 280.0 1120 1.1807
0.4059 281.0 1124 1.1238
0.4059 282.0 1128 1.0955
0.4059 283.0 1132 1.0557
0.4059 284.0 1136 1.0615
0.4059 285.0 1140 1.0758
0.4059 286.0 1144 1.1007
0.4059 287.0 1148 1.1431
0.4059 288.0 1152 1.1335
0.4059 289.0 1156 1.0713
0.4059 290.0 1160 1.0302
0.4059 291.0 1164 1.0070
0.4059 292.0 1168 1.0587
0.4059 293.0 1172 1.1093
0.4059 294.0 1176 1.1549
0.4059 295.0 1180 1.1744
0.4059 296.0 1184 1.1590
0.4059 297.0 1188 1.0999
0.4059 298.0 1192 1.0508
0.4059 299.0 1196 1.0082
0.4059 300.0 1200 1.0266
0.4059 301.0 1204 1.0897
0.4059 302.0 1208 1.2008
0.4059 303.0 1212 1.2833
0.4059 304.0 1216 1.2775
0.4059 305.0 1220 1.2754
0.4059 306.0 1224 1.2059
0.4059 307.0 1228 1.1187
0.4059 308.0 1232 1.1612
0.4059 309.0 1236 1.1794
0.4059 310.0 1240 1.1969
0.4059 311.0 1244 1.1991
0.4059 312.0 1248 1.1921
0.4059 313.0 1252 1.2148
0.4059 314.0 1256 1.2524
0.4059 315.0 1260 1.2606
0.4059 316.0 1264 1.2423
0.4059 317.0 1268 1.1989
0.4059 318.0 1272 1.1552
0.4059 319.0 1276 1.1222
0.4059 320.0 1280 1.1219
0.4059 321.0 1284 1.1678
0.4059 322.0 1288 1.1853
0.4059 323.0 1292 1.1274
0.4059 324.0 1296 1.0615
0.4059 325.0 1300 1.1044
0.4059 326.0 1304 1.1874
0.4059 327.0 1308 1.1911
0.4059 328.0 1312 1.1513
0.4059 329.0 1316 1.0682
0.4059 330.0 1320 1.0366
0.4059 331.0 1324 1.0736
0.4059 332.0 1328 1.1319
0.4059 333.0 1332 1.1256
0.4059 334.0 1336 1.0977
0.4059 335.0 1340 1.0509
0.4059 336.0 1344 1.0081
0.4059 337.0 1348 1.0239
0.4059 338.0 1352 1.0681
0.4059 339.0 1356 1.1298
0.4059 340.0 1360 1.1369
0.4059 341.0 1364 1.0729
0.4059 342.0 1368 0.9855
0.4059 343.0 1372 0.9409
0.4059 344.0 1376 0.9527
0.4059 345.0 1380 1.0270
0.4059 346.0 1384 1.0781
0.4059 347.0 1388 1.1151
0.4059 348.0 1392 1.1403
0.4059 349.0 1396 1.1603
0.4059 350.0 1400 1.1856
0.4059 351.0 1404 1.1898
0.4059 352.0 1408 1.1933
0.4059 353.0 1412 1.2285
0.4059 354.0 1416 1.2589
0.4059 355.0 1420 1.2458
0.4059 356.0 1424 1.2131
0.4059 357.0 1428 1.2127
0.4059 358.0 1432 1.2372
0.4059 359.0 1436 1.2434
0.4059 360.0 1440 1.2399
0.4059 361.0 1444 1.2213
0.4059 362.0 1448 1.1881
0.4059 363.0 1452 1.1636
0.4059 364.0 1456 1.1456
0.4059 365.0 1460 1.1520
0.4059 366.0 1464 1.1635
0.4059 367.0 1468 1.1836
0.4059 368.0 1472 1.1956
0.4059 369.0 1476 1.2053
0.4059 370.0 1480 1.2042
0.4059 371.0 1484 1.1728
0.4059 372.0 1488 1.1536
0.4059 373.0 1492 1.1376
0.4059 374.0 1496 1.1239
0.4026 375.0 1500 1.1201
0.4026 376.0 1504 1.1128
0.4026 377.0 1508 1.1067
0.4026 378.0 1512 1.1073
0.4026 379.0 1516 1.1112
0.4026 380.0 1520 1.1212
0.4026 381.0 1524 1.1387
0.4026 382.0 1528 1.1460
0.4026 383.0 1532 1.1238
0.4026 384.0 1536 1.1028
0.4026 385.0 1540 1.1051
0.4026 386.0 1544 1.1086
0.4026 387.0 1548 1.0921
0.4026 388.0 1552 1.0765
0.4026 389.0 1556 1.0831
0.4026 390.0 1560 1.0897
0.4026 391.0 1564 1.0915
0.4026 392.0 1568 1.0901
0.4026 393.0 1572 1.0891
0.4026 394.0 1576 1.0918
0.4026 395.0 1580 1.0979
0.4026 396.0 1584 1.0970
0.4026 397.0 1588 1.0804
0.4026 398.0 1592 1.0838
0.4026 399.0 1596 1.0858
0.4026 400.0 1600 1.0962
0.4026 401.0 1604 1.1256
0.4026 402.0 1608 1.1424
0.4026 403.0 1612 1.1586
0.4026 404.0 1616 1.1724
0.4026 405.0 1620 1.1751
0.4026 406.0 1624 1.1961
0.4026 407.0 1628 1.2155
0.4026 408.0 1632 1.2273
0.4026 409.0 1636 1.2307
0.4026 410.0 1640 1.2315
0.4026 411.0 1644 1.2128
0.4026 412.0 1648 1.1893
0.4026 413.0 1652 1.1579
0.4026 414.0 1656 1.1366
0.4026 415.0 1660 1.1357
0.4026 416.0 1664 1.1407
0.4026 417.0 1668 1.1430
0.4026 418.0 1672 1.1448
0.4026 419.0 1676 1.1484
0.4026 420.0 1680 1.1536
0.4026 421.0 1684 1.1489
0.4026 422.0 1688 1.1727
0.4026 423.0 1692 1.1906
0.4026 424.0 1696 1.1960
0.4026 425.0 1700 1.1939
0.4026 426.0 1704 1.1789
0.4026 427.0 1708 1.1635
0.4026 428.0 1712 1.1499
0.4026 429.0 1716 1.1432
0.4026 430.0 1720 1.1382
0.4026 431.0 1724 1.1275
0.4026 432.0 1728 1.1173
0.4026 433.0 1732 1.1088
0.4026 434.0 1736 1.0911
0.4026 435.0 1740 1.0853
0.4026 436.0 1744 1.0861
0.4026 437.0 1748 1.1100
0.4026 438.0 1752 1.1545
0.4026 439.0 1756 1.1714
0.4026 440.0 1760 1.1520
0.4026 441.0 1764 1.1242
0.4026 442.0 1768 1.1029
0.4026 443.0 1772 1.0844
0.4026 444.0 1776 1.0676
0.4026 445.0 1780 1.0830
0.4026 446.0 1784 1.0936
0.4026 447.0 1788 1.0992
0.4026 448.0 1792 1.1024
0.4026 449.0 1796 1.1005
0.4026 450.0 1800 1.0968
0.4026 451.0 1804 1.0915
0.4026 452.0 1808 1.0914
0.4026 453.0 1812 1.0897
0.4026 454.0 1816 1.0799
0.4026 455.0 1820 1.1148
0.4026 456.0 1824 1.1440
0.4026 457.0 1828 1.1571
0.4026 458.0 1832 1.1594
0.4026 459.0 1836 1.1520
0.4026 460.0 1840 1.1392
0.4026 461.0 1844 1.1145
0.4026 462.0 1848 1.1045
0.4026 463.0 1852 1.0923
0.4026 464.0 1856 1.0772
0.4026 465.0 1860 1.0652
0.4026 466.0 1864 1.0405
0.4026 467.0 1868 1.0121
0.4026 468.0 1872 1.0254
0.4026 469.0 1876 1.1054
0.4026 470.0 1880 1.1700
0.4026 471.0 1884 1.1976
0.4026 472.0 1888 1.1985
0.4026 473.0 1892 1.2013
0.4026 474.0 1896 1.1945
0.4026 475.0 1900 1.1819
0.4026 476.0 1904 1.1745
0.4026 477.0 1908 1.1637
0.4026 478.0 1912 1.1613
0.4026 479.0 1916 1.2205
0.4026 480.0 1920 1.3217
0.4026 481.0 1924 1.3495
0.4026 482.0 1928 1.3611
0.4026 483.0 1932 1.3540
0.4026 484.0 1936 1.3446
0.4026 485.0 1940 1.3276
0.4026 486.0 1944 1.2940
0.4026 487.0 1948 1.2593
0.4026 488.0 1952 1.2319
0.4026 489.0 1956 1.2247
0.4026 490.0 1960 1.2264
0.4026 491.0 1964 1.2378
0.4026 492.0 1968 1.2434
0.4026 493.0 1972 1.2530
0.4026 494.0 1976 1.2621
0.4026 495.0 1980 1.2628
0.4026 496.0 1984 1.2380
0.4026 497.0 1988 1.2284
0.4026 498.0 1992 1.2583
0.4026 499.0 1996 1.2241
0.4132 500.0 2000 1.2637
0.4132 501.0 2004 1.2356
0.4132 502.0 2008 1.1919
0.4132 503.0 2012 1.1615
0.4132 504.0 2016 1.1739
0.4132 505.0 2020 1.1578
0.4132 506.0 2024 1.1376
0.4132 507.0 2028 1.1027
0.4132 508.0 2032 1.0491
0.4132 509.0 2036 1.0300
0.4132 510.0 2040 1.0555
0.4132 511.0 2044 1.0936
0.4132 512.0 2048 1.1107
0.4132 513.0 2052 1.1290
0.4132 514.0 2056 1.1403
0.4132 515.0 2060 1.1134
0.4132 516.0 2064 1.0623
0.4132 517.0 2068 1.1057
0.4132 518.0 2072 1.0797
0.4132 519.0 2076 1.1629
0.4132 520.0 2080 1.2167
0.4132 521.0 2084 1.2047
0.4132 522.0 2088 1.1083
0.4132 523.0 2092 1.0418
0.4132 524.0 2096 1.0102
0.4132 525.0 2100 1.0244
0.4132 526.0 2104 1.1072
0.4132 527.0 2108 1.1927
0.4132 528.0 2112 1.2431
0.4132 529.0 2116 1.2620
0.4132 530.0 2120 1.2626
0.4132 531.0 2124 1.2374
0.4132 532.0 2128 1.2128
0.4132 533.0 2132 1.1929
0.4132 534.0 2136 1.1825
0.4132 535.0 2140 1.1820
0.4132 536.0 2144 1.1747
0.4132 537.0 2148 1.1500
0.4132 538.0 2152 1.1300
0.4132 539.0 2156 1.1154
0.4132 540.0 2160 1.1131
0.4132 541.0 2164 1.2039
0.4132 542.0 2168 1.2969
0.4132 543.0 2172 1.3467
0.4132 544.0 2176 1.3269
0.4132 545.0 2180 1.2708
0.4132 546.0 2184 1.2328
0.4132 547.0 2188 1.2018
0.4132 548.0 2192 1.2414
0.4132 549.0 2196 1.3077
0.4132 550.0 2200 1.3456
0.4132 551.0 2204 1.3697
0.4132 552.0 2208 1.3549
0.4132 553.0 2212 1.3114
0.4132 554.0 2216 1.2546
0.4132 555.0 2220 1.1885
0.4132 556.0 2224 1.1551
0.4132 557.0 2228 1.1560
0.4132 558.0 2232 1.1636
0.4132 559.0 2236 1.1683
0.4132 560.0 2240 1.1802
0.4132 561.0 2244 1.1915
0.4132 562.0 2248 1.2013
0.4132 563.0 2252 1.2959
0.4132 564.0 2256 1.3462
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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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