generated_from_trainer

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english-char-roberta

This model is a fine-tuned version of on the None dataset. It achieves the following results on the evaluation set:

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:

Training results

Training Loss Epoch Step Validation Loss
No log 1.0 296 2.1694
2.3335 2.0 592 1.9121
2.3335 3.0 888 nan
1.8727 4.0 1184 1.7151
1.8727 5.0 1480 nan
1.7283 6.0 1776 nan
1.6465 7.0 2072 nan
1.6465 8.0 2368 1.5415
1.5863 9.0 2664 1.5241
1.5863 10.0 2960 1.4887
1.533 11.0 3256 nan
1.489 12.0 3552 1.4435
1.489 13.0 3848 nan
1.4625 14.0 4144 nan
1.4625 15.0 4440 1.4028
1.4227 16.0 4736 1.4030
1.3996 17.0 5032 1.4001
1.3996 18.0 5328 1.3668
1.3827 19.0 5624 1.3777
1.3827 20.0 5920 1.3362
1.3463 21.0 6216 nan
1.3301 22.0 6512 1.3348
1.3301 23.0 6808 1.3038
1.3086 24.0 7104 nan
1.3086 25.0 7400 1.2902
1.2899 26.0 7696 1.2801
1.2899 27.0 7992 1.2718
1.2698 28.0 8288 nan
1.2506 29.0 8584 nan
1.2506 30.0 8880 nan
1.2308 31.0 9176 1.2399
1.2308 32.0 9472 1.2281
1.2167 33.0 9768 nan
1.1985 34.0 10064 1.2161
1.1985 35.0 10360 1.2127
1.1814 36.0 10656 1.2137
1.1814 37.0 10952 1.2192
1.1689 38.0 11248 1.1866
1.1529 39.0 11544 1.1991
1.1529 40.0 11840 1.1889
1.1375 41.0 12136 1.1721
1.1375 42.0 12432 nan
1.1234 43.0 12728 1.1761
1.1169 44.0 13024 1.1509
1.1169 45.0 13320 1.1552
1.0957 46.0 13616 nan
1.0957 47.0 13912 1.1407
1.0902 48.0 14208 nan
1.071 49.0 14504 nan
1.071 50.0 14800 1.1222
1.0539 51.0 15096 1.1288
1.0539 52.0 15392 1.1106
1.047 53.0 15688 1.0977
1.047 54.0 15984 1.1069
1.0385 55.0 16280 1.1068
1.0192 56.0 16576 1.1082
1.0192 57.0 16872 1.0953
1.0235 58.0 17168 1.0878
1.0235 59.0 17464 nan
1.0035 60.0 17760 1.1033
0.995 61.0 18056 nan
0.995 62.0 18352 1.0726
0.9842 63.0 18648 1.0697
0.9842 64.0 18944 1.0595
0.9815 65.0 19240 nan
0.9616 66.0 19536 1.0476
0.9616 67.0 19832 nan
0.9519 68.0 20128 1.0512
0.9519 69.0 20424 1.0420
0.9447 70.0 20720 nan
0.9317 71.0 21016 nan
0.9317 72.0 21312 1.0456
0.9197 73.0 21608 1.0689
0.9197 74.0 21904 1.0197
0.9208 75.0 22200 1.0294
0.9208 76.0 22496 nan
0.9094 77.0 22792 1.0272
0.9071 78.0 23088 1.0377
0.9071 79.0 23384 nan
0.8927 80.0 23680 1.0265
0.8927 81.0 23976 1.0245
0.8947 82.0 24272 1.0276
0.877 83.0 24568 1.0099
0.877 84.0 24864 1.0220
0.877 85.0 25160 1.0201
0.877 86.0 25456 1.0304
0.8678 87.0 25752 1.0238
0.861 88.0 26048 1.0129
0.861 89.0 26344 1.0134
0.8432 90.0 26640 0.9939
0.8432 91.0 26936 1.0188
0.8402 92.0 27232 1.0161
0.8297 93.0 27528 0.9779
0.8297 94.0 27824 nan
0.8267 95.0 28120 0.9953
0.8267 96.0 28416 1.0285
0.8189 97.0 28712 1.0018
0.811 98.0 29008 0.9986
0.811 99.0 29304 nan
0.8115 100.0 29600 0.9952
0.8115 101.0 29896 0.9946
0.7998 102.0 30192 0.9928
0.7998 103.0 30488 nan
0.7938 104.0 30784 0.9826
0.7791 105.0 31080 nan
0.7791 106.0 31376 0.9994
0.7842 107.0 31672 0.9917
0.7842 108.0 31968 0.9733
0.7739 109.0 32264 0.9635
0.7785 110.0 32560 nan
0.7785 111.0 32856 nan
0.763 112.0 33152 0.9751
0.763 113.0 33448 0.9755
0.76 114.0 33744 0.9811
0.7535 115.0 34040 0.9721
0.7535 116.0 34336 nan
0.7508 117.0 34632 0.9724
0.7508 118.0 34928 nan
0.7435 119.0 35224 0.9651
0.7406 120.0 35520 nan
0.7406 121.0 35816 0.9757
0.737 122.0 36112 0.9749
0.737 123.0 36408 0.9645
0.7289 124.0 36704 0.9699
0.7213 125.0 37000 0.9518
0.7213 126.0 37296 0.9509
0.7199 127.0 37592 nan
0.7199 128.0 37888 0.9614
0.7177 129.0 38184 0.9617
0.7177 130.0 38480 0.9372
0.706 131.0 38776 0.9399
0.7033 132.0 39072 0.9760
0.7033 133.0 39368 0.9560
0.7033 134.0 39664 nan
0.7033 135.0 39960 nan
0.7016 136.0 40256 0.9353
0.6901 137.0 40552 0.9352
0.6901 138.0 40848 nan
0.685 139.0 41144 0.9540
0.685 140.0 41440 0.9476
0.6881 141.0 41736 nan
0.6806 142.0 42032 0.9471
0.6806 143.0 42328 0.9518
0.6714 144.0 42624 0.9480
0.6714 145.0 42920 nan
0.6791 146.0 43216 nan
0.6664 147.0 43512 0.9610
0.6664 148.0 43808 0.9393
0.6668 149.0 44104 nan
0.6668 150.0 44400 0.9379
0.6516 151.0 44696 0.9522
0.6516 152.0 44992 0.9376
0.6587 153.0 45288 0.9561
0.6542 154.0 45584 0.9402
0.6542 155.0 45880 0.9407
0.6528 156.0 46176 0.9189
0.6528 157.0 46472 0.9412
0.6472 158.0 46768 0.9149
0.6466 159.0 47064 0.9380
0.6466 160.0 47360 nan
0.6377 161.0 47656 nan
0.6377 162.0 47952 0.9129
0.6279 163.0 48248 nan
0.6306 164.0 48544 0.9599
0.6306 165.0 48840 nan
0.6294 166.0 49136 0.9258
0.6294 167.0 49432 0.9223
0.6272 168.0 49728 0.9343
0.6217 169.0 50024 nan
0.6217 170.0 50320 0.9355
0.615 171.0 50616 0.9207
0.615 172.0 50912 0.9416
0.6105 173.0 51208 0.9379
0.6125 174.0 51504 0.9292
0.6125 175.0 51800 nan
0.6093 176.0 52096 0.9355
0.6093 177.0 52392 0.9148
0.6125 178.0 52688 0.9372
0.6125 179.0 52984 0.9452
0.6014 180.0 53280 0.9502
0.6019 181.0 53576 0.9439
0.6019 182.0 53872 0.9296
0.6019 183.0 54168 0.9511
0.6019 184.0 54464 0.9334
0.595 185.0 54760 0.9232
0.5889 186.0 55056 0.9308
0.5889 187.0 55352 0.9282
0.5911 188.0 55648 0.9435
0.5911 189.0 55944 0.9055
0.5906 190.0 56240 0.9593
0.5848 191.0 56536 0.9223
0.5848 192.0 56832 0.9102
0.5843 193.0 57128 0.9307
0.5843 194.0 57424 0.9027
0.581 195.0 57720 nan
0.5745 196.0 58016 0.9130
0.5745 197.0 58312 0.9183
0.582 198.0 58608 0.9191
0.582 199.0 58904 0.9407
0.5718 200.0 59200 0.9138
0.5718 201.0 59496 0.9133
0.5652 202.0 59792 0.9254
0.5711 203.0 60088 0.9537
0.5711 204.0 60384 0.9254
0.5699 205.0 60680 0.9386
0.5699 206.0 60976 0.9180
0.5546 207.0 61272 nan
0.5596 208.0 61568 0.9212
0.5596 209.0 61864 0.9264
0.5583 210.0 62160 0.9168
0.5583 211.0 62456 0.9155
0.5499 212.0 62752 nan
0.5601 213.0 63048 0.9182
0.5601 214.0 63344 nan
0.5528 215.0 63640 0.9178
0.5528 216.0 63936 0.9050
0.5484 217.0 64232 nan
0.5413 218.0 64528 0.9190
0.5413 219.0 64824 0.9201
0.546 220.0 65120 0.9400
0.546 221.0 65416 0.9068
0.5402 222.0 65712 0.9277
0.5407 223.0 66008 nan
0.5407 224.0 66304 0.9243
0.5341 225.0 66600 0.9355
0.5341 226.0 66896 nan
0.535 227.0 67192 0.9639
0.535 228.0 67488 0.9037
0.5364 229.0 67784 0.9277
0.5231 230.0 68080 0.9188
0.5231 231.0 68376 0.9140
0.523 232.0 68672 0.9234
0.523 233.0 68968 0.9507
0.5241 234.0 69264 0.9327
0.5258 235.0 69560 nan
0.5258 236.0 69856 0.9437
0.5224 237.0 70152 0.9478
0.5224 238.0 70448 nan
0.524 239.0 70744 0.9178
0.5233 240.0 71040 nan
0.5233 241.0 71336 0.8992
0.5166 242.0 71632 0.9349
0.5166 243.0 71928 nan
0.5228 244.0 72224 0.9484
0.5183 245.0 72520 nan
0.5183 246.0 72816 nan
0.5119 247.0 73112 0.9126
0.5119 248.0 73408 0.9244
0.5084 249.0 73704 0.9210
0.5107 250.0 74000 0.9404
0.5107 251.0 74296 0.9317
0.5072 252.0 74592 0.9537
0.5072 253.0 74888 0.9472
0.4958 254.0 75184 0.9127
0.4958 255.0 75480 0.9189
0.4982 256.0 75776 0.9286
0.4997 257.0 76072 0.9322
0.4997 258.0 76368 0.9080
0.5144 259.0 76664 0.9104
0.5144 260.0 76960 0.9413
0.4942 261.0 77256 0.9330
0.496 262.0 77552 0.9327
0.496 263.0 77848 0.9387
0.4903 264.0 78144 0.9330
0.4903 265.0 78440 0.9496
0.4991 266.0 78736 0.9340
0.4809 267.0 79032 nan
0.4809 268.0 79328 0.9367
0.4929 269.0 79624 0.9388
0.4929 270.0 79920 0.9259
0.4856 271.0 80216 0.9005
0.4865 272.0 80512 0.9265
0.4865 273.0 80808 0.9347
0.4889 274.0 81104 0.9299
0.4889 275.0 81400 nan
0.4841 276.0 81696 0.9292
0.4841 277.0 81992 nan
0.4748 278.0 82288 0.9155
0.4821 279.0 82584 0.9139
0.4821 280.0 82880 0.9324
0.4888 281.0 83176 0.9136
0.4888 282.0 83472 nan
0.4839 283.0 83768 0.9363
0.477 284.0 84064 nan
0.477 285.0 84360 nan
0.4784 286.0 84656 0.9179
0.4784 287.0 84952 0.9231
0.4709 288.0 85248 nan
0.4745 289.0 85544 0.9371
0.4745 290.0 85840 0.9337
0.4758 291.0 86136 0.9363
0.4758 292.0 86432 0.9385
0.4644 293.0 86728 0.9495
0.4664 294.0 87024 0.9344
0.4664 295.0 87320 0.9290
0.4618 296.0 87616 nan
0.4618 297.0 87912 0.9443
0.4636 298.0 88208 nan
0.4654 299.0 88504 nan
0.4654 300.0 88800 0.9582
0.4555 301.0 89096 0.9339
0.4555 302.0 89392 0.9333
0.4546 303.0 89688 nan
0.4546 304.0 89984 nan
0.4657 305.0 90280 nan
0.462 306.0 90576 0.9356
0.462 307.0 90872 0.9635
0.4549 308.0 91168 0.9442
0.4549 309.0 91464 0.9381
0.4514 310.0 91760 nan
0.4551 311.0 92056 0.9287
0.4551 312.0 92352 nan
0.4508 313.0 92648 0.9453
0.4508 314.0 92944 0.9312
0.4487 315.0 93240 0.9470
0.4484 316.0 93536 0.9548
0.4484 317.0 93832 0.9437
0.4445 318.0 94128 0.9265
0.4445 319.0 94424 0.9231
0.4486 320.0 94720 0.9492
0.4446 321.0 95016 0.9241
0.4446 322.0 95312 0.9256
0.4429 323.0 95608 nan
0.4429 324.0 95904 0.9394
0.4437 325.0 96200 0.9545
0.4437 326.0 96496 0.9416
0.4363 327.0 96792 0.9363
0.4393 328.0 97088 0.9140
0.4393 329.0 97384 0.9428
0.4409 330.0 97680 0.9394
0.4409 331.0 97976 0.9163
0.4407 332.0 98272 0.9323
0.4355 333.0 98568 nan
0.4355 334.0 98864 0.9358
0.4304 335.0 99160 0.9500
0.4304 336.0 99456 0.9299
0.4429 337.0 99752 0.9484
0.4357 338.0 100048 0.9476
0.4357 339.0 100344 0.9518
0.4375 340.0 100640 0.9357
0.4375 341.0 100936 0.9234
0.4401 342.0 101232 nan
0.4306 343.0 101528 0.9506
0.4306 344.0 101824 0.9309
0.4303 345.0 102120 0.9503
0.4303 346.0 102416 0.9406
0.4264 347.0 102712 0.9542
0.426 348.0 103008 0.9504
0.426 349.0 103304 0.9367
0.4212 350.0 103600 nan
0.4212 351.0 103896 0.9271
0.4252 352.0 104192 0.9554
0.4252 353.0 104488 nan
0.4196 354.0 104784 0.9406
0.4188 355.0 105080 nan
0.4188 356.0 105376 nan
0.4194 357.0 105672 0.9647
0.4194 358.0 105968 0.9296
0.4181 359.0 106264 0.9649
0.4192 360.0 106560 0.9635
0.4192 361.0 106856 0.9381
0.4242 362.0 107152 0.9330
0.4242 363.0 107448 nan
0.4192 364.0 107744 0.9286
0.42 365.0 108040 0.9379
0.42 366.0 108336 nan
0.4239 367.0 108632 0.9345
0.4239 368.0 108928 0.9639
0.4116 369.0 109224 0.9473
0.4172 370.0 109520 nan
0.4172 371.0 109816 0.9393
0.4114 372.0 110112 nan
0.4114 373.0 110408 0.9562
0.4166 374.0 110704 0.9416
0.4086 375.0 111000 0.9480
0.4086 376.0 111296 0.9436
0.4127 377.0 111592 0.9559
0.4127 378.0 111888 0.9381
0.4115 379.0 112184 0.9248
0.4115 380.0 112480 0.9257
0.4116 381.0 112776 0.9517
0.4023 382.0 113072 nan
0.4023 383.0 113368 0.9580
0.4032 384.0 113664 0.9285
0.4032 385.0 113960 0.9529
0.4052 386.0 114256 0.9461
0.403 387.0 114552 0.9712
0.403 388.0 114848 0.9551
0.4066 389.0 115144 0.9576
0.4066 390.0 115440 nan
0.3977 391.0 115736 0.9420
0.3994 392.0 116032 nan
0.3994 393.0 116328 0.9847
0.4017 394.0 116624 0.9627
0.4017 395.0 116920 0.9713
0.4045 396.0 117216 0.9635
0.3956 397.0 117512 0.9617
0.3956 398.0 117808 0.9500
0.3981 399.0 118104 0.9638
0.3981 400.0 118400 0.9536
0.3977 401.0 118696 0.9402
0.3977 402.0 118992 nan
0.3973 403.0 119288 0.9578
0.3926 404.0 119584 0.9201
0.3926 405.0 119880 0.9664
0.3918 406.0 120176 0.9447
0.3918 407.0 120472 0.9577
0.3955 408.0 120768 0.9549
0.3975 409.0 121064 0.9208
0.3975 410.0 121360 nan
0.3966 411.0 121656 nan
0.3966 412.0 121952 0.9895
0.3994 413.0 122248 0.9452
0.3885 414.0 122544 nan
0.3885 415.0 122840 0.9658
0.3964 416.0 123136 nan
0.3964 417.0 123432 0.9499
0.3906 418.0 123728 0.9538
0.3899 419.0 124024 0.9833
0.3899 420.0 124320 0.9493
0.3824 421.0 124616 0.9437
0.3824 422.0 124912 0.9457
0.3872 423.0 125208 0.9732
0.3855 424.0 125504 0.9371
0.3855 425.0 125800 0.9541
0.3857 426.0 126096 0.9619
0.3857 427.0 126392 0.9530
0.3822 428.0 126688 0.9561
0.3822 429.0 126984 0.9774
0.3849 430.0 127280 0.9647
0.383 431.0 127576 0.9550
0.383 432.0 127872 0.9736
0.3816 433.0 128168 0.9726
0.3816 434.0 128464 nan
0.3804 435.0 128760 0.9570
0.3823 436.0 129056 0.9570
0.3823 437.0 129352 0.9750
0.3846 438.0 129648 0.9612
0.3846 439.0 129944 0.9831
0.3789 440.0 130240 0.9610
0.38 441.0 130536 0.9536
0.38 442.0 130832 0.9641
0.3812 443.0 131128 0.9603
0.3812 444.0 131424 0.9615
0.37 445.0 131720 0.9609
0.3845 446.0 132016 0.9553
0.3845 447.0 132312 0.9761
0.3755 448.0 132608 0.9866
0.3755 449.0 132904 nan
0.3669 450.0 133200 0.9658
0.3669 451.0 133496 0.9700
0.3767 452.0 133792 0.9571
0.3709 453.0 134088 nan
0.3709 454.0 134384 nan
0.3767 455.0 134680 0.9465
0.3767 456.0 134976 nan
0.3733 457.0 135272 0.9578
0.3685 458.0 135568 0.9557
0.3685 459.0 135864 nan
0.3712 460.0 136160 0.9502
0.3712 461.0 136456 0.9458
0.3762 462.0 136752 nan
0.3645 463.0 137048 0.9776
0.3645 464.0 137344 0.9759
0.3675 465.0 137640 nan
0.3675 466.0 137936 nan
0.3686 467.0 138232 nan
0.3708 468.0 138528 nan
0.3708 469.0 138824 0.9732
0.3659 470.0 139120 0.9649
0.3659 471.0 139416 nan
0.3714 472.0 139712 0.9643
0.3652 473.0 140008 0.9713
0.3652 474.0 140304 0.9585
0.3632 475.0 140600 0.9675
0.3632 476.0 140896 0.9897
0.3622 477.0 141192 nan
0.3622 478.0 141488 0.9668
0.3517 479.0 141784 nan
0.3674 480.0 142080 0.9741
0.3674 481.0 142376 0.9635
0.3595 482.0 142672 nan
0.3595 483.0 142968 nan
0.3568 484.0 143264 nan
0.359 485.0 143560 0.9639
0.359 486.0 143856 0.9764
0.3613 487.0 144152 nan
0.3613 488.0 144448 nan
0.3569 489.0 144744 0.9616
0.3556 490.0 145040 0.9700
0.3556 491.0 145336 nan
0.3541 492.0 145632 0.9683
0.3541 493.0 145928 0.9779
0.3628 494.0 146224 nan
0.3535 495.0 146520 0.9489
0.3535 496.0 146816 nan
0.3539 497.0 147112 0.9848
0.3539 498.0 147408 0.9663
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0.3528 500.0 148000 nan
0.3528 501.0 148296 nan
0.3518 502.0 148592 0.9768
0.3518 503.0 148888 nan
0.3563 504.0 149184 0.9934
0.3563 505.0 149480 1.0003
0.3471 506.0 149776 0.9797
0.3544 507.0 150072 nan
0.3544 508.0 150368 0.9805
0.3588 509.0 150664 nan
0.3588 510.0 150960 0.9637
0.359 511.0 151256 0.9724
0.3497 512.0 151552 0.9661
0.3497 513.0 151848 0.9555
0.3535 514.0 152144 0.9618
0.3535 515.0 152440 nan
0.3406 516.0 152736 0.9747
0.3486 517.0 153032 nan
0.3486 518.0 153328 nan
0.3497 519.0 153624 0.9851
0.3497 520.0 153920 0.9804
0.3511 521.0 154216 0.9827
0.3492 522.0 154512 0.9741
0.3492 523.0 154808 nan
0.3482 524.0 155104 0.9678
0.3482 525.0 155400 0.9912
0.3412 526.0 155696 0.9408
0.3412 527.0 155992 0.9887
0.3414 528.0 156288 0.9669
0.347 529.0 156584 0.9694
0.347 530.0 156880 0.9731
0.3463 531.0 157176 0.9726
0.3463 532.0 157472 0.9880
0.3403 533.0 157768 0.9766
0.3481 534.0 158064 0.9835
0.3481 535.0 158360 nan
0.3448 536.0 158656 nan
0.3448 537.0 158952 0.9853
0.3484 538.0 159248 0.9906
0.344 539.0 159544 0.9687
0.344 540.0 159840 0.9806
0.3431 541.0 160136 0.9662
0.3431 542.0 160432 0.9771
0.3428 543.0 160728 0.9585
0.3457 544.0 161024 nan
0.3457 545.0 161320 nan
0.337 546.0 161616 0.9601
0.337 547.0 161912 0.9868
0.3402 548.0 162208 nan
0.3373 549.0 162504 0.9707
0.3373 550.0 162800 0.9949
0.3436 551.0 163096 0.9685
0.3436 552.0 163392 0.9804
0.3394 553.0 163688 0.9959
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0.3358 555.0 164280 0.9677
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Framework versions