ArabicNewSplits7_FineTuningAraBERT_run2_AugV5_k2_task2_organization

This model is a fine-tuned version of aubmindlab/bert-base-arabertv02 on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.8202
  • Qwk: 0.4575
  • Mse: 0.8202
  • Rmse: 0.9056

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: 8
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 100

Training results

Training Loss Epoch Step Validation Loss Qwk Mse Rmse
No log 0.2222 2 4.4799 0.0018 4.4799 2.1166
No log 0.4444 4 2.5936 0.0248 2.5936 1.6105
No log 0.6667 6 1.7460 0.0062 1.7460 1.3214
No log 0.8889 8 1.5093 0.0227 1.5093 1.2285
No log 1.1111 10 1.2503 0.1237 1.2503 1.1182
No log 1.3333 12 1.2552 0.1671 1.2552 1.1203
No log 1.5556 14 1.3789 -0.0636 1.3789 1.1743
No log 1.7778 16 1.8056 0.0082 1.8056 1.3437
No log 2.0 18 1.8410 0.0444 1.8410 1.3568
No log 2.2222 20 1.7640 0.0585 1.7640 1.3282
No log 2.4444 22 1.3950 0.0019 1.3950 1.1811
No log 2.6667 24 1.2359 0.2025 1.2359 1.1117
No log 2.8889 26 1.2147 0.2097 1.2147 1.1021
No log 3.1111 28 1.1990 0.1935 1.1990 1.0950
No log 3.3333 30 1.1995 0.2097 1.1995 1.0952
No log 3.5556 32 1.1961 0.2155 1.1961 1.0937
No log 3.7778 34 1.2160 0.1519 1.2160 1.1027
No log 4.0 36 1.2720 0.0408 1.2720 1.1278
No log 4.2222 38 1.2846 0.0322 1.2846 1.1334
No log 4.4444 40 1.3040 0.0218 1.3040 1.1419
No log 4.6667 42 1.3121 0.1515 1.3121 1.1455
No log 4.8889 44 1.3168 0.1503 1.3168 1.1475
No log 5.1111 46 1.3526 0.1171 1.3526 1.1630
No log 5.3333 48 1.3534 0.1615 1.3534 1.1634
No log 5.5556 50 1.3813 0.1826 1.3813 1.1753
No log 5.7778 52 1.1720 0.2108 1.1720 1.0826
No log 6.0 54 1.1100 0.2757 1.1100 1.0536
No log 6.2222 56 1.3119 0.2729 1.3119 1.1454
No log 6.4444 58 1.4945 0.2060 1.4945 1.2225
No log 6.6667 60 1.3997 0.2136 1.3997 1.1831
No log 6.8889 62 1.1303 0.3724 1.1303 1.0631
No log 7.1111 64 1.0489 0.4882 1.0489 1.0241
No log 7.3333 66 1.2947 0.3119 1.2947 1.1378
No log 7.5556 68 1.5522 0.3038 1.5522 1.2459
No log 7.7778 70 1.2158 0.2873 1.2158 1.1026
No log 8.0 72 1.0130 0.4698 1.0130 1.0065
No log 8.2222 74 1.0347 0.4846 1.0347 1.0172
No log 8.4444 76 1.0653 0.4914 1.0653 1.0321
No log 8.6667 78 1.0657 0.4914 1.0657 1.0323
No log 8.8889 80 1.0746 0.4292 1.0746 1.0366
No log 9.1111 82 1.0532 0.4474 1.0532 1.0262
No log 9.3333 84 1.1034 0.3596 1.1034 1.0504
No log 9.5556 86 1.0502 0.4996 1.0502 1.0248
No log 9.7778 88 1.0360 0.4996 1.0360 1.0178
No log 10.0 90 0.9971 0.4981 0.9971 0.9986
No log 10.2222 92 1.1214 0.4055 1.1214 1.0590
No log 10.4444 94 1.0523 0.4606 1.0523 1.0258
No log 10.6667 96 1.0147 0.4430 1.0147 1.0073
No log 10.8889 98 1.3857 0.3162 1.3857 1.1771
No log 11.1111 100 1.6906 0.2774 1.6906 1.3002
No log 11.3333 102 1.2875 0.2595 1.2875 1.1347
No log 11.5556 104 1.1145 0.4407 1.1145 1.0557
No log 11.7778 106 1.1432 0.3671 1.1432 1.0692
No log 12.0 108 1.1309 0.4230 1.1309 1.0634
No log 12.2222 110 1.3445 0.2510 1.3445 1.1595
No log 12.4444 112 1.5085 0.2593 1.5085 1.2282
No log 12.6667 114 1.2179 0.2295 1.2179 1.1036
No log 12.8889 116 0.9641 0.4962 0.9641 0.9819
No log 13.1111 118 1.0780 0.3551 1.0780 1.0383
No log 13.3333 120 1.0853 0.3135 1.0853 1.0418
No log 13.5556 122 0.9682 0.4810 0.9682 0.9840
No log 13.7778 124 1.1544 0.3260 1.1544 1.0744
No log 14.0 126 1.3162 0.2650 1.3162 1.1473
No log 14.2222 128 1.1300 0.2510 1.1300 1.0630
No log 14.4444 130 1.0246 0.4219 1.0246 1.0122
No log 14.6667 132 1.1271 0.3365 1.1271 1.0617
No log 14.8889 134 1.2474 0.2806 1.2474 1.1169
No log 15.1111 136 1.2135 0.3370 1.2135 1.1016
No log 15.3333 138 1.0673 0.3701 1.0673 1.0331
No log 15.5556 140 1.0017 0.4847 1.0017 1.0009
No log 15.7778 142 1.1061 0.2755 1.1061 1.0517
No log 16.0 144 1.1260 0.2264 1.1260 1.0611
No log 16.2222 146 1.0465 0.3572 1.0465 1.0230
No log 16.4444 148 0.9518 0.5226 0.9518 0.9756
No log 16.6667 150 0.9651 0.5335 0.9651 0.9824
No log 16.8889 152 0.9521 0.4349 0.9521 0.9757
No log 17.1111 154 0.9804 0.4216 0.9804 0.9902
No log 17.3333 156 1.0256 0.4421 1.0256 1.0127
No log 17.5556 158 1.0561 0.4579 1.0561 1.0277
No log 17.7778 160 1.1575 0.3025 1.1575 1.0759
No log 18.0 162 1.3546 0.3444 1.3546 1.1639
No log 18.2222 164 1.2440 0.3428 1.2440 1.1153
No log 18.4444 166 1.0108 0.3812 1.0108 1.0054
No log 18.6667 168 0.9082 0.5186 0.9082 0.9530
No log 18.8889 170 0.8842 0.4575 0.8842 0.9403
No log 19.1111 172 0.8946 0.4181 0.8946 0.9458
No log 19.3333 174 0.9009 0.5312 0.9009 0.9492
No log 19.5556 176 1.1148 0.3067 1.1148 1.0559
No log 19.7778 178 1.2203 0.3076 1.2203 1.1047
No log 20.0 180 1.0407 0.4018 1.0407 1.0201
No log 20.2222 182 0.9469 0.5618 0.9469 0.9731
No log 20.4444 184 0.9320 0.5926 0.9320 0.9654
No log 20.6667 186 0.9536 0.5006 0.9536 0.9765
No log 20.8889 188 0.9323 0.5618 0.9323 0.9656
No log 21.1111 190 0.8839 0.4826 0.8839 0.9402
No log 21.3333 192 0.8925 0.4048 0.8925 0.9447
No log 21.5556 194 0.8805 0.4318 0.8805 0.9384
No log 21.7778 196 0.9008 0.5357 0.9008 0.9491
No log 22.0 198 0.9807 0.4774 0.9807 0.9903
No log 22.2222 200 0.9587 0.5085 0.9587 0.9791
No log 22.4444 202 0.8987 0.4916 0.8987 0.9480
No log 22.6667 204 0.9107 0.4216 0.9107 0.9543
No log 22.8889 206 0.8938 0.4343 0.8938 0.9454
No log 23.1111 208 0.8968 0.5167 0.8968 0.9470
No log 23.3333 210 0.9373 0.4912 0.9373 0.9682
No log 23.5556 212 1.0252 0.3624 1.0252 1.0125
No log 23.7778 214 0.9769 0.4975 0.9769 0.9884
No log 24.0 216 0.8810 0.4860 0.8810 0.9386
No log 24.2222 218 0.8563 0.4219 0.8563 0.9254
No log 24.4444 220 0.8432 0.4219 0.8432 0.9182
No log 24.6667 222 0.8346 0.4356 0.8346 0.9135
No log 24.8889 224 0.8383 0.5357 0.8383 0.9156
No log 25.1111 226 0.8430 0.5266 0.8430 0.9181
No log 25.3333 228 0.8078 0.4626 0.8078 0.8988
No log 25.5556 230 0.8215 0.4962 0.8215 0.9064
No log 25.7778 232 0.8429 0.4962 0.8429 0.9181
No log 26.0 234 0.8566 0.4343 0.8566 0.9255
No log 26.2222 236 0.8695 0.4962 0.8695 0.9325
No log 26.4444 238 0.8637 0.4947 0.8637 0.9293
No log 26.6667 240 0.8468 0.4977 0.8468 0.9202
No log 26.8889 242 0.8595 0.4993 0.8595 0.9271
No log 27.1111 244 0.9248 0.5075 0.9248 0.9617
No log 27.3333 246 1.0118 0.3207 1.0118 1.0059
No log 27.5556 248 1.0292 0.3622 1.0292 1.0145
No log 27.7778 250 0.9963 0.4613 0.9963 0.9982
No log 28.0 252 0.8973 0.5009 0.8973 0.9473
No log 28.2222 254 0.8732 0.4705 0.8732 0.9344
No log 28.4444 256 0.8709 0.4568 0.8709 0.9332
No log 28.6667 258 0.8653 0.4575 0.8653 0.9302
No log 28.8889 260 0.8741 0.5335 0.8741 0.9349
No log 29.1111 262 0.9435 0.4880 0.9435 0.9713
No log 29.3333 264 0.9694 0.5133 0.9694 0.9846
No log 29.5556 266 0.9083 0.5245 0.9083 0.9530
No log 29.7778 268 0.8828 0.4218 0.8828 0.9396
No log 30.0 270 0.9221 0.4430 0.9221 0.9603
No log 30.2222 272 0.9485 0.4668 0.9485 0.9739
No log 30.4444 274 0.9890 0.4634 0.9890 0.9945
No log 30.6667 276 1.0355 0.4211 1.0355 1.0176
No log 30.8889 278 1.0551 0.3714 1.0551 1.0272
No log 31.1111 280 0.9851 0.4007 0.9851 0.9925
No log 31.3333 282 0.9216 0.4282 0.9216 0.9600
No log 31.5556 284 0.9137 0.4002 0.9137 0.9559
No log 31.7778 286 0.9159 0.4280 0.9159 0.9570
No log 32.0 288 0.9318 0.4563 0.9318 0.9653
No log 32.2222 290 0.9728 0.3719 0.9728 0.9863
No log 32.4444 292 1.0161 0.3939 1.0161 1.0080
No log 32.6667 294 1.0335 0.4138 1.0335 1.0166
No log 32.8889 296 0.9898 0.4763 0.9898 0.9949
No log 33.1111 298 0.9260 0.4947 0.9260 0.9623
No log 33.3333 300 0.9223 0.4798 0.9223 0.9604
No log 33.5556 302 0.9292 0.4579 0.9292 0.9640
No log 33.7778 304 0.9327 0.4502 0.9327 0.9658
No log 34.0 306 0.9303 0.4231 0.9303 0.9645
No log 34.2222 308 0.9751 0.4332 0.9751 0.9875
No log 34.4444 310 1.0252 0.3731 1.0252 1.0125
No log 34.6667 312 0.9743 0.4465 0.9743 0.9871
No log 34.8889 314 0.9106 0.4388 0.9106 0.9542
No log 35.1111 316 0.9286 0.4181 0.9286 0.9636
No log 35.3333 318 0.9756 0.4363 0.9756 0.9877
No log 35.5556 320 0.9730 0.4363 0.9730 0.9864
No log 35.7778 322 0.9373 0.4560 0.9373 0.9681
No log 36.0 324 0.9601 0.4514 0.9601 0.9799
No log 36.2222 326 0.9761 0.4103 0.9761 0.9880
No log 36.4444 328 0.9557 0.4514 0.9557 0.9776
No log 36.6667 330 0.9216 0.4534 0.9216 0.9600
No log 36.8889 332 0.9119 0.4401 0.9119 0.9549
No log 37.1111 334 0.9029 0.4013 0.9029 0.9502
No log 37.3333 336 0.8883 0.4527 0.8883 0.9425
No log 37.5556 338 0.9033 0.4352 0.9033 0.9504
No log 37.7778 340 0.9463 0.4235 0.9463 0.9728
No log 38.0 342 0.9431 0.4271 0.9431 0.9711
No log 38.2222 344 0.9276 0.4926 0.9276 0.9631
No log 38.4444 346 0.8747 0.4960 0.8747 0.9352
No log 38.6667 348 0.8467 0.4826 0.8467 0.9202
No log 38.8889 350 0.8413 0.3762 0.8413 0.9172
No log 39.1111 352 0.8345 0.3762 0.8345 0.9135
No log 39.3333 354 0.8218 0.4141 0.8218 0.9065
No log 39.5556 356 0.8155 0.4826 0.8155 0.9030
No log 39.7778 358 0.8186 0.4847 0.8186 0.9048
No log 40.0 360 0.8169 0.5335 0.8169 0.9038
No log 40.2222 362 0.8065 0.5335 0.8065 0.8980
No log 40.4444 364 0.8124 0.5335 0.8124 0.9013
No log 40.6667 366 0.8395 0.5563 0.8395 0.9163
No log 40.8889 368 0.8586 0.5150 0.8586 0.9266
No log 41.1111 370 0.8620 0.5275 0.8620 0.9284
No log 41.3333 372 0.8565 0.5497 0.8565 0.9255
No log 41.5556 374 0.8466 0.5802 0.8466 0.9201
No log 41.7778 376 0.8120 0.5563 0.8120 0.9011
No log 42.0 378 0.7846 0.5186 0.7846 0.8858
No log 42.2222 380 0.7846 0.5042 0.7846 0.8858
No log 42.4444 382 0.7821 0.5058 0.7821 0.8844
No log 42.6667 384 0.7996 0.5538 0.7996 0.8942
No log 42.8889 386 0.8644 0.5618 0.8644 0.9298
No log 43.1111 388 0.8889 0.5737 0.8889 0.9428
No log 43.3333 390 0.8680 0.5618 0.8680 0.9316
No log 43.5556 392 0.8213 0.5563 0.8213 0.9062
No log 43.7778 394 0.7954 0.4834 0.7954 0.8919
No log 44.0 396 0.8035 0.4181 0.8035 0.8964
No log 44.2222 398 0.8010 0.4181 0.8010 0.8950
No log 44.4444 400 0.7999 0.4681 0.7999 0.8944
No log 44.6667 402 0.8098 0.5312 0.8098 0.8999
No log 44.8889 404 0.8235 0.5312 0.8235 0.9075
No log 45.1111 406 0.8387 0.4705 0.8387 0.9158
No log 45.3333 408 0.8600 0.4547 0.8600 0.9273
No log 45.5556 410 0.8677 0.4547 0.8677 0.9315
No log 45.7778 412 0.8656 0.4628 0.8656 0.9304
No log 46.0 414 0.8493 0.4435 0.8493 0.9216
No log 46.2222 416 0.8287 0.4218 0.8287 0.9103
No log 46.4444 418 0.8194 0.4705 0.8194 0.9052
No log 46.6667 420 0.8247 0.4847 0.8247 0.9081
No log 46.8889 422 0.8349 0.5335 0.8349 0.9137
No log 47.1111 424 0.8367 0.5335 0.8367 0.9147
No log 47.3333 426 0.8304 0.4485 0.8304 0.9113
No log 47.5556 428 0.8407 0.4644 0.8407 0.9169
No log 47.7778 430 0.8514 0.4636 0.8514 0.9227
No log 48.0 432 0.8504 0.4560 0.8504 0.9221
No log 48.2222 434 0.8634 0.4514 0.8634 0.9292
No log 48.4444 436 0.8901 0.5009 0.8901 0.9434
No log 48.6667 438 0.9089 0.4686 0.9089 0.9534
No log 48.8889 440 0.9070 0.4686 0.9070 0.9523
No log 49.1111 442 0.8615 0.4879 0.8615 0.9282
No log 49.3333 444 0.8362 0.4479 0.8362 0.9144
No log 49.5556 446 0.8333 0.4086 0.8333 0.9128
No log 49.7778 448 0.8373 0.3908 0.8373 0.9150
No log 50.0 450 0.8418 0.3908 0.8418 0.9175
No log 50.2222 452 0.8364 0.4218 0.8364 0.9146
No log 50.4444 454 0.8513 0.5186 0.8513 0.9227
No log 50.6667 456 0.8657 0.5312 0.8657 0.9304
No log 50.8889 458 0.8713 0.5291 0.8713 0.9334
No log 51.1111 460 0.8602 0.5312 0.8602 0.9275
No log 51.3333 462 0.8367 0.5186 0.8367 0.9147
No log 51.5556 464 0.8247 0.4086 0.8247 0.9081
No log 51.7778 466 0.8231 0.4087 0.8231 0.9073
No log 52.0 468 0.8288 0.3957 0.8288 0.9104
No log 52.2222 470 0.8340 0.4181 0.8340 0.9132
No log 52.4444 472 0.8267 0.3961 0.8267 0.9093
No log 52.6667 474 0.8143 0.4087 0.8143 0.9024
No log 52.8889 476 0.8018 0.4218 0.8018 0.8955
No log 53.1111 478 0.7986 0.5186 0.7986 0.8936
No log 53.3333 480 0.8012 0.5186 0.8012 0.8951
No log 53.5556 482 0.7964 0.5058 0.7964 0.8924
No log 53.7778 484 0.7985 0.4045 0.7985 0.8936
No log 54.0 486 0.8109 0.4045 0.8109 0.9005
No log 54.2222 488 0.8195 0.4048 0.8195 0.9053
No log 54.4444 490 0.8160 0.4048 0.8160 0.9033
No log 54.6667 492 0.8051 0.5058 0.8051 0.8973
No log 54.8889 494 0.8101 0.5186 0.8101 0.9001
No log 55.1111 496 0.8413 0.5312 0.8413 0.9172
No log 55.3333 498 0.8721 0.5120 0.8721 0.9338
0.2706 55.5556 500 0.8700 0.5138 0.8700 0.9327
0.2706 55.7778 502 0.8350 0.5459 0.8350 0.9138
0.2706 56.0 504 0.8045 0.5175 0.8045 0.8969
0.2706 56.2222 506 0.8075 0.3908 0.8075 0.8986
0.2706 56.4444 508 0.8239 0.3908 0.8239 0.9077
0.2706 56.6667 510 0.8193 0.3908 0.8193 0.9052
0.2706 56.8889 512 0.8172 0.4045 0.8172 0.9040
0.2706 57.1111 514 0.8202 0.4575 0.8202 0.9056

Framework versions

  • Transformers 4.44.2
  • Pytorch 2.4.0+cu118
  • Datasets 2.21.0
  • Tokenizers 0.19.1
Downloads last month
-
Safetensors
Model size
0.1B params
Tensor type
F32
·
Inference Providers NEW
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support

Model tree for MayBashendy/ArabicNewSplits7_FineTuningAraBERT_run2_AugV5_k2_task2_organization

Finetuned
(4019)
this model