ArabicNewSplits7_FineTuningAraBERT_run2_AugV5_k1_task5_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: 0.6515
  • Qwk: 0.5578
  • Mse: 0.6515
  • Rmse: 0.8072

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 0.4 2 4.0923 0.0 4.0923 2.0229
No log 0.8 4 2.9759 -0.0242 2.9759 1.7251
No log 1.2 6 1.4468 0.0 1.4468 1.2028
No log 1.6 8 1.0334 0.2857 1.0334 1.0166
No log 2.0 10 0.9606 0.2544 0.9606 0.9801
No log 2.4 12 1.0353 0.1962 1.0353 1.0175
No log 2.8 14 1.1293 0.1361 1.1293 1.0627
No log 3.2 16 1.0317 0.1997 1.0317 1.0157
No log 3.6 18 0.8784 0.3162 0.8784 0.9373
No log 4.0 20 0.7874 0.3821 0.7874 0.8874
No log 4.4 22 0.7384 0.4660 0.7384 0.8593
No log 4.8 24 0.9148 0.3944 0.9148 0.9565
No log 5.2 26 0.9277 0.4560 0.9277 0.9632
No log 5.6 28 0.6802 0.5725 0.6802 0.8247
No log 6.0 30 0.6621 0.6197 0.6621 0.8137
No log 6.4 32 0.6916 0.6235 0.6916 0.8316
No log 6.8 34 0.7129 0.6120 0.7129 0.8444
No log 7.2 36 0.7368 0.6241 0.7368 0.8583
No log 7.6 38 0.8262 0.6089 0.8262 0.9089
No log 8.0 40 0.9690 0.4894 0.9690 0.9844
No log 8.4 42 0.8814 0.5727 0.8814 0.9388
No log 8.8 44 0.8681 0.5026 0.8681 0.9317
No log 9.2 46 0.7804 0.6019 0.7804 0.8834
No log 9.6 48 0.7676 0.6242 0.7676 0.8761
No log 10.0 50 0.6799 0.5898 0.6799 0.8245
No log 10.4 52 0.6863 0.6094 0.6863 0.8284
No log 10.8 54 0.7178 0.5815 0.7178 0.8472
No log 11.2 56 0.8726 0.5965 0.8726 0.9341
No log 11.6 58 0.8296 0.6225 0.8296 0.9108
No log 12.0 60 0.9171 0.5896 0.9171 0.9576
No log 12.4 62 0.7419 0.6239 0.7419 0.8614
No log 12.8 64 0.6620 0.6197 0.6620 0.8136
No log 13.2 66 0.6618 0.6160 0.6618 0.8135
No log 13.6 68 0.8944 0.5948 0.8944 0.9457
No log 14.0 70 0.8615 0.5896 0.8615 0.9282
No log 14.4 72 0.6340 0.6042 0.6340 0.7963
No log 14.8 74 0.6028 0.6695 0.6028 0.7764
No log 15.2 76 0.6113 0.6695 0.6113 0.7818
No log 15.6 78 0.6103 0.6022 0.6103 0.7812
No log 16.0 80 0.7449 0.5988 0.7449 0.8631
No log 16.4 82 0.7361 0.5988 0.7361 0.8580
No log 16.8 84 0.6563 0.5945 0.6563 0.8101
No log 17.2 86 0.6118 0.6160 0.6118 0.7822
No log 17.6 88 0.5946 0.6244 0.5946 0.7711
No log 18.0 90 0.6268 0.6598 0.6268 0.7917
No log 18.4 92 0.6063 0.6482 0.6063 0.7787
No log 18.8 94 0.5969 0.6383 0.5969 0.7726
No log 19.2 96 0.5764 0.6244 0.5764 0.7592
No log 19.6 98 0.6075 0.6005 0.6075 0.7794
No log 20.0 100 0.7462 0.6136 0.7462 0.8639
No log 20.4 102 0.7146 0.6126 0.7146 0.8453
No log 20.8 104 0.5959 0.6022 0.5959 0.7719
No log 21.2 106 0.6028 0.6872 0.6028 0.7764
No log 21.6 108 0.6379 0.7155 0.6379 0.7987
No log 22.0 110 0.6157 0.6215 0.6157 0.7847
No log 22.4 112 0.7478 0.6067 0.7478 0.8648
No log 22.8 114 0.9174 0.6157 0.9174 0.9578
No log 23.2 116 0.8441 0.6002 0.8441 0.9187
No log 23.6 118 0.6946 0.6051 0.6946 0.8334
No log 24.0 120 0.6810 0.6471 0.6810 0.8253
No log 24.4 122 0.6469 0.6570 0.6469 0.8043
No log 24.8 124 0.6075 0.6051 0.6075 0.7794
No log 25.2 126 0.6577 0.5536 0.6577 0.8110
No log 25.6 128 0.6862 0.6461 0.6862 0.8284
No log 26.0 130 0.6678 0.5578 0.6678 0.8172
No log 26.4 132 0.6490 0.6129 0.6490 0.8056
No log 26.8 134 0.6686 0.6298 0.6686 0.8177
No log 27.2 136 0.6978 0.5657 0.6978 0.8354
No log 27.6 138 0.8517 0.6038 0.8517 0.9229
No log 28.0 140 0.9437 0.5712 0.9437 0.9715
No log 28.4 142 0.8215 0.6022 0.8215 0.9064
No log 28.8 144 0.6701 0.5470 0.6701 0.8186
No log 29.2 146 0.6647 0.6479 0.6647 0.8153
No log 29.6 148 0.6618 0.6900 0.6618 0.8135
No log 30.0 150 0.6549 0.6112 0.6549 0.8092
No log 30.4 152 0.7517 0.6026 0.7517 0.8670
No log 30.8 154 0.7624 0.6193 0.7624 0.8732
No log 31.2 156 0.6756 0.5466 0.6756 0.8219
No log 31.6 158 0.6638 0.5859 0.6638 0.8147
No log 32.0 160 0.7097 0.6005 0.7097 0.8424
No log 32.4 162 0.7151 0.5462 0.7151 0.8457
No log 32.8 164 0.6983 0.5470 0.6983 0.8357
No log 33.2 166 0.6616 0.5955 0.6616 0.8134
No log 33.6 168 0.6569 0.5955 0.6569 0.8105
No log 34.0 170 0.6558 0.5567 0.6558 0.8098
No log 34.4 172 0.6679 0.5470 0.6679 0.8172
No log 34.8 174 0.6897 0.5275 0.6897 0.8305
No log 35.2 176 0.6970 0.5470 0.6970 0.8349
No log 35.6 178 0.7396 0.5593 0.7396 0.8600
No log 36.0 180 0.7888 0.5862 0.7888 0.8881
No log 36.4 182 0.7546 0.5698 0.7546 0.8687
No log 36.8 184 0.6774 0.5859 0.6774 0.8230
No log 37.2 186 0.6380 0.5955 0.6380 0.7987
No log 37.6 188 0.6222 0.5895 0.6222 0.7888
No log 38.0 190 0.6044 0.6051 0.6044 0.7775
No log 38.4 192 0.5981 0.6041 0.5981 0.7733
No log 38.8 194 0.6066 0.6138 0.6066 0.7789
No log 39.2 196 0.6333 0.5955 0.6333 0.7958
No log 39.6 198 0.6592 0.5859 0.6592 0.8119
No log 40.0 200 0.7012 0.5835 0.7012 0.8374
No log 40.4 202 0.6785 0.5686 0.6785 0.8237
No log 40.8 204 0.6494 0.5859 0.6494 0.8059
No log 41.2 206 0.6379 0.6341 0.6379 0.7987
No log 41.6 208 0.6314 0.6041 0.6314 0.7946
No log 42.0 210 0.6383 0.5859 0.6383 0.7989
No log 42.4 212 0.6757 0.5678 0.6757 0.8220
No log 42.8 214 0.7189 0.6575 0.7189 0.8479
No log 43.2 216 0.7168 0.6041 0.7168 0.8466
No log 43.6 218 0.6857 0.6303 0.6857 0.8281
No log 44.0 220 0.6666 0.5927 0.6666 0.8164
No log 44.4 222 0.6281 0.5955 0.6281 0.7925
No log 44.8 224 0.6088 0.5955 0.6088 0.7803
No log 45.2 226 0.6131 0.6215 0.6131 0.7830
No log 45.6 228 0.6487 0.6154 0.6487 0.8054
No log 46.0 230 0.6513 0.6154 0.6513 0.8070
No log 46.4 232 0.6342 0.5784 0.6342 0.7964
No log 46.8 234 0.6285 0.5955 0.6285 0.7928
No log 47.2 236 0.6358 0.6051 0.6358 0.7974
No log 47.6 238 0.6464 0.5567 0.6464 0.8040
No log 48.0 240 0.6563 0.5805 0.6563 0.8101
No log 48.4 242 0.6979 0.5676 0.6979 0.8354
No log 48.8 244 0.7240 0.5688 0.7240 0.8509
No log 49.2 246 0.7107 0.6014 0.7107 0.8430
No log 49.6 248 0.6508 0.5915 0.6508 0.8067
No log 50.0 250 0.6156 0.5945 0.6156 0.7846
No log 50.4 252 0.6187 0.6041 0.6187 0.7866
No log 50.8 254 0.6143 0.5945 0.6143 0.7838
No log 51.2 256 0.6230 0.6051 0.6230 0.7893
No log 51.6 258 0.6644 0.5773 0.6644 0.8151
No log 52.0 260 0.6959 0.6045 0.6959 0.8342
No log 52.4 262 0.6643 0.6244 0.6643 0.8151
No log 52.8 264 0.6314 0.5470 0.6314 0.7946
No log 53.2 266 0.6270 0.5567 0.6270 0.7919
No log 53.6 268 0.6287 0.5955 0.6287 0.7929
No log 54.0 270 0.6263 0.5955 0.6263 0.7914
No log 54.4 272 0.6212 0.5955 0.6212 0.7882
No log 54.8 274 0.6209 0.5955 0.6209 0.7880
No log 55.2 276 0.6174 0.5955 0.6174 0.7857
No log 55.6 278 0.6037 0.5955 0.6037 0.7769
No log 56.0 280 0.5960 0.5955 0.5960 0.7720
No log 56.4 282 0.6004 0.5849 0.6004 0.7748
No log 56.8 284 0.6211 0.5921 0.6211 0.7881
No log 57.2 286 0.6554 0.5795 0.6554 0.8095
No log 57.6 288 0.6765 0.5968 0.6765 0.8225
No log 58.0 290 0.6866 0.6014 0.6866 0.8286
No log 58.4 292 0.6783 0.6014 0.6783 0.8236
No log 58.8 294 0.6624 0.6014 0.6624 0.8139
No log 59.2 296 0.6574 0.5783 0.6574 0.8108
No log 59.6 298 0.6339 0.5794 0.6339 0.7962
No log 60.0 300 0.6330 0.5794 0.6330 0.7956
No log 60.4 302 0.6321 0.5466 0.6321 0.7950
No log 60.8 304 0.6313 0.5941 0.6313 0.7945
No log 61.2 306 0.6325 0.5941 0.6325 0.7953
No log 61.6 308 0.6376 0.5941 0.6376 0.7985
No log 62.0 310 0.6306 0.5955 0.6306 0.7941
No log 62.4 312 0.6280 0.5955 0.6280 0.7925
No log 62.8 314 0.6401 0.5667 0.6401 0.8001
No log 63.2 316 0.6637 0.5688 0.6637 0.8147
No log 63.6 318 0.6779 0.5876 0.6779 0.8233
No log 64.0 320 0.6784 0.5688 0.6784 0.8237
No log 64.4 322 0.6632 0.5169 0.6632 0.8144
No log 64.8 324 0.6536 0.5955 0.6536 0.8084
No log 65.2 326 0.6456 0.5955 0.6456 0.8035
No log 65.6 328 0.6355 0.5955 0.6355 0.7972
No log 66.0 330 0.6255 0.5955 0.6255 0.7909
No log 66.4 332 0.6165 0.5567 0.6165 0.7852
No log 66.8 334 0.6193 0.5817 0.6193 0.7869
No log 67.2 336 0.6214 0.5567 0.6214 0.7883
No log 67.6 338 0.6265 0.5567 0.6265 0.7915
No log 68.0 340 0.6395 0.5567 0.6395 0.7997
No log 68.4 342 0.6565 0.5167 0.6565 0.8102
No log 68.8 344 0.6698 0.5169 0.6698 0.8184
No log 69.2 346 0.6914 0.5576 0.6914 0.8315
No log 69.6 348 0.6911 0.5576 0.6911 0.8313
No log 70.0 350 0.6721 0.5369 0.6721 0.8198
No log 70.4 352 0.6583 0.5369 0.6583 0.8114
No log 70.8 354 0.6408 0.5859 0.6408 0.8005
No log 71.2 356 0.6286 0.5859 0.6286 0.7929
No log 71.6 358 0.6275 0.5470 0.6275 0.7921
No log 72.0 360 0.6272 0.5470 0.6272 0.7920
No log 72.4 362 0.6302 0.5470 0.6302 0.7938
No log 72.8 364 0.6334 0.5695 0.6334 0.7959
No log 73.2 366 0.6261 0.5470 0.6261 0.7912
No log 73.6 368 0.6234 0.5567 0.6234 0.7895
No log 74.0 370 0.6197 0.5567 0.6197 0.7872
No log 74.4 372 0.6183 0.5665 0.6183 0.7863
No log 74.8 374 0.6214 0.5567 0.6214 0.7883
No log 75.2 376 0.6263 0.5470 0.6263 0.7914
No log 75.6 378 0.6328 0.5470 0.6328 0.7955
No log 76.0 380 0.6417 0.5470 0.6417 0.8010
No log 76.4 382 0.6586 0.5589 0.6586 0.8115
No log 76.8 384 0.6868 0.5936 0.6868 0.8287
No log 77.2 386 0.7137 0.6126 0.7137 0.8448
No log 77.6 388 0.7146 0.5864 0.7146 0.8453
No log 78.0 390 0.6957 0.5773 0.6957 0.8341
No log 78.4 392 0.6797 0.6063 0.6797 0.8244
No log 78.8 394 0.6616 0.5572 0.6616 0.8134
No log 79.2 396 0.6436 0.5572 0.6436 0.8022
No log 79.6 398 0.6338 0.5572 0.6338 0.7961
No log 80.0 400 0.6360 0.5706 0.6360 0.7975
No log 80.4 402 0.6403 0.5940 0.6403 0.8002
No log 80.8 404 0.6388 0.5706 0.6388 0.7992
No log 81.2 406 0.6357 0.5706 0.6357 0.7973
No log 81.6 408 0.6284 0.5578 0.6284 0.7927
No log 82.0 410 0.6245 0.5470 0.6245 0.7902
No log 82.4 412 0.6222 0.5859 0.6222 0.7888
No log 82.8 414 0.6242 0.5955 0.6242 0.7901
No log 83.2 416 0.6263 0.5859 0.6263 0.7914
No log 83.6 418 0.6289 0.5859 0.6289 0.7930
No log 84.0 420 0.6331 0.5859 0.6331 0.7957
No log 84.4 422 0.6397 0.5578 0.6397 0.7998
No log 84.8 424 0.6455 0.5686 0.6455 0.8034
No log 85.2 426 0.6472 0.5686 0.6472 0.8045
No log 85.6 428 0.6514 0.5686 0.6514 0.8071
No log 86.0 430 0.6533 0.5686 0.6533 0.8083
No log 86.4 432 0.6555 0.5686 0.6555 0.8096
No log 86.8 434 0.6587 0.5686 0.6587 0.8116
No log 87.2 436 0.6624 0.5678 0.6624 0.8139
No log 87.6 438 0.6637 0.5572 0.6637 0.8147
No log 88.0 440 0.6626 0.5572 0.6626 0.8140
No log 88.4 442 0.6575 0.5578 0.6575 0.8109
No log 88.8 444 0.6545 0.5578 0.6545 0.8090
No log 89.2 446 0.6570 0.5578 0.6570 0.8106
No log 89.6 448 0.6618 0.5578 0.6618 0.8135
No log 90.0 450 0.6628 0.5572 0.6628 0.8141
No log 90.4 452 0.6682 0.5678 0.6682 0.8174
No log 90.8 454 0.6746 0.5382 0.6746 0.8213
No log 91.2 456 0.6769 0.5382 0.6769 0.8228
No log 91.6 458 0.6759 0.5382 0.6759 0.8221
No log 92.0 460 0.6714 0.5382 0.6714 0.8194
No log 92.4 462 0.6643 0.5678 0.6643 0.8151
No log 92.8 464 0.6616 0.5578 0.6616 0.8134
No log 93.2 466 0.6615 0.5686 0.6615 0.8133
No log 93.6 468 0.6605 0.5686 0.6605 0.8127
No log 94.0 470 0.6578 0.5578 0.6578 0.8110
No log 94.4 472 0.6567 0.5578 0.6567 0.8104
No log 94.8 474 0.6548 0.5578 0.6548 0.8092
No log 95.2 476 0.6524 0.5578 0.6524 0.8077
No log 95.6 478 0.6499 0.5578 0.6499 0.8061
No log 96.0 480 0.6469 0.5578 0.6469 0.8043
No log 96.4 482 0.6449 0.5578 0.6449 0.8030
No log 96.8 484 0.6441 0.5578 0.6441 0.8025
No log 97.2 486 0.6450 0.5578 0.6450 0.8031
No log 97.6 488 0.6464 0.5578 0.6464 0.8040
No log 98.0 490 0.6479 0.5578 0.6479 0.8049
No log 98.4 492 0.6488 0.5578 0.6488 0.8055
No log 98.8 494 0.6498 0.5578 0.6498 0.8061
No log 99.2 496 0.6506 0.5578 0.6506 0.8066
No log 99.6 498 0.6512 0.5578 0.6512 0.8070
0.1647 100.0 500 0.6515 0.5578 0.6515 0.8072

Framework versions

  • Transformers 4.44.2
  • Pytorch 2.4.0+cu118
  • Datasets 2.21.0
  • Tokenizers 0.19.1
Downloads last month
6
Safetensors
Model size
135M params
Tensor type
F32
·
Inference Examples
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social visibility and check back later, or deploy to Inference Endpoints (dedicated) instead.

Model tree for MayBashendy/ArabicNewSplits7_FineTuningAraBERT_run2_AugV5_k1_task5_organization

Finetuned
(4205)
this model