ArabicNewSplits5_FineTuningAraBERT_run2_AugV5_k7_task3_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: 0.4984
- Qwk: 0.4595
- Mse: 0.4984
- Rmse: 0.7060
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: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Qwk | Mse | Rmse |
|---|---|---|---|---|---|---|
| No log | 0.0465 | 2 | 3.1771 | -0.0014 | 3.1771 | 1.7824 |
| No log | 0.0930 | 4 | 1.8248 | -0.0130 | 1.8248 | 1.3509 |
| No log | 0.1395 | 6 | 1.6001 | 0.0390 | 1.6001 | 1.2650 |
| No log | 0.1860 | 8 | 1.4545 | 0.0130 | 1.4545 | 1.2060 |
| No log | 0.2326 | 10 | 0.9374 | 0.1464 | 0.9374 | 0.9682 |
| No log | 0.2791 | 12 | 0.5887 | 0.0286 | 0.5887 | 0.7673 |
| No log | 0.3256 | 14 | 0.6512 | -0.0159 | 0.6512 | 0.8070 |
| No log | 0.3721 | 16 | 0.8097 | -0.2414 | 0.8097 | 0.8998 |
| No log | 0.4186 | 18 | 1.0902 | -0.0268 | 1.0902 | 1.0441 |
| No log | 0.4651 | 20 | 1.2290 | 0.0 | 1.2290 | 1.1086 |
| No log | 0.5116 | 22 | 1.3512 | 0.0 | 1.3512 | 1.1624 |
| No log | 0.5581 | 24 | 1.1242 | 0.0 | 1.1242 | 1.0603 |
| No log | 0.6047 | 26 | 0.8776 | 0.0388 | 0.8776 | 0.9368 |
| No log | 0.6512 | 28 | 0.7513 | 0.0899 | 0.7513 | 0.8668 |
| No log | 0.6977 | 30 | 0.7005 | 0.1111 | 0.7005 | 0.8370 |
| No log | 0.7442 | 32 | 0.7277 | 0.2258 | 0.7277 | 0.8531 |
| No log | 0.7907 | 34 | 0.9080 | 0.0794 | 0.9080 | 0.9529 |
| No log | 0.8372 | 36 | 0.8416 | 0.0894 | 0.8416 | 0.9174 |
| No log | 0.8837 | 38 | 0.7594 | 0.1443 | 0.7594 | 0.8714 |
| No log | 0.9302 | 40 | 0.6652 | 0.2201 | 0.6652 | 0.8156 |
| No log | 0.9767 | 42 | 0.6503 | 0.2099 | 0.6503 | 0.8064 |
| No log | 1.0233 | 44 | 0.5946 | 0.2340 | 0.5946 | 0.7711 |
| No log | 1.0698 | 46 | 0.7504 | 0.2000 | 0.7504 | 0.8663 |
| No log | 1.1163 | 48 | 0.8933 | 0.1712 | 0.8933 | 0.9452 |
| No log | 1.1628 | 50 | 0.6611 | 0.1913 | 0.6611 | 0.8131 |
| No log | 1.2093 | 52 | 0.5686 | 0.0476 | 0.5686 | 0.7540 |
| No log | 1.2558 | 54 | 0.5706 | 0.0476 | 0.5706 | 0.7554 |
| No log | 1.3023 | 56 | 0.5968 | 0.2821 | 0.5968 | 0.7725 |
| No log | 1.3488 | 58 | 0.9351 | 0.1736 | 0.9351 | 0.9670 |
| No log | 1.3953 | 60 | 0.9219 | 0.1736 | 0.9219 | 0.9602 |
| No log | 1.4419 | 62 | 0.6536 | 0.2000 | 0.6536 | 0.8085 |
| No log | 1.4884 | 64 | 0.5968 | -0.0233 | 0.5968 | 0.7725 |
| No log | 1.5349 | 66 | 0.5761 | -0.0081 | 0.5761 | 0.7590 |
| No log | 1.5814 | 68 | 0.5552 | 0.1884 | 0.5552 | 0.7451 |
| No log | 1.6279 | 70 | 0.7048 | 0.1919 | 0.7048 | 0.8395 |
| No log | 1.6744 | 72 | 0.9368 | 0.1276 | 0.9368 | 0.9679 |
| No log | 1.7209 | 74 | 0.8543 | 0.2000 | 0.8543 | 0.9243 |
| No log | 1.7674 | 76 | 0.5443 | 0.2593 | 0.5443 | 0.7377 |
| No log | 1.8140 | 78 | 0.5387 | 0.1111 | 0.5387 | 0.7339 |
| No log | 1.8605 | 80 | 0.5094 | 0.0933 | 0.5094 | 0.7137 |
| No log | 1.9070 | 82 | 0.7147 | 0.2850 | 0.7147 | 0.8454 |
| No log | 1.9535 | 84 | 1.1452 | 0.0968 | 1.1452 | 1.0701 |
| No log | 2.0 | 86 | 1.1445 | 0.0916 | 1.1445 | 1.0698 |
| No log | 2.0465 | 88 | 0.5698 | 0.3103 | 0.5698 | 0.7548 |
| No log | 2.0930 | 90 | 0.6227 | 0.1407 | 0.6227 | 0.7891 |
| No log | 2.1395 | 92 | 0.6674 | 0.1429 | 0.6674 | 0.8169 |
| No log | 2.1860 | 94 | 0.5015 | 0.1220 | 0.5015 | 0.7082 |
| No log | 2.2326 | 96 | 0.6673 | 0.2549 | 0.6673 | 0.8169 |
| No log | 2.2791 | 98 | 0.8627 | 0.1644 | 0.8627 | 0.9288 |
| No log | 2.3256 | 100 | 0.6575 | 0.2464 | 0.6575 | 0.8108 |
| No log | 2.3721 | 102 | 0.5660 | 0.2381 | 0.5660 | 0.7523 |
| No log | 2.4186 | 104 | 0.4965 | 0.2121 | 0.4965 | 0.7046 |
| No log | 2.4651 | 106 | 0.5124 | 0.0476 | 0.5124 | 0.7158 |
| No log | 2.5116 | 108 | 0.5160 | 0.1628 | 0.5160 | 0.7184 |
| No log | 2.5581 | 110 | 0.5415 | 0.2704 | 0.5415 | 0.7359 |
| No log | 2.6047 | 112 | 0.5908 | 0.2184 | 0.5908 | 0.7686 |
| No log | 2.6512 | 114 | 0.5228 | 0.3253 | 0.5228 | 0.7230 |
| No log | 2.6977 | 116 | 0.5428 | 0.3103 | 0.5428 | 0.7367 |
| No log | 2.7442 | 118 | 0.6237 | 0.2527 | 0.6237 | 0.7897 |
| No log | 2.7907 | 120 | 0.8688 | 0.1673 | 0.8688 | 0.9321 |
| No log | 2.8372 | 122 | 0.9005 | 0.1385 | 0.9005 | 0.9489 |
| No log | 2.8837 | 124 | 0.9952 | 0.0222 | 0.9952 | 0.9976 |
| No log | 2.9302 | 126 | 0.8650 | 0.1347 | 0.8650 | 0.9301 |
| No log | 2.9767 | 128 | 0.6642 | 0.2593 | 0.6642 | 0.8150 |
| No log | 3.0233 | 130 | 0.7428 | 0.2239 | 0.7428 | 0.8618 |
| No log | 3.0698 | 132 | 0.5916 | 0.3617 | 0.5916 | 0.7692 |
| No log | 3.1163 | 134 | 0.7108 | 0.3469 | 0.7108 | 0.8431 |
| No log | 3.1628 | 136 | 0.8032 | 0.1636 | 0.8032 | 0.8962 |
| No log | 3.2093 | 138 | 0.5610 | 0.3927 | 0.5610 | 0.7490 |
| No log | 3.2558 | 140 | 0.5085 | 0.3469 | 0.5085 | 0.7131 |
| No log | 3.3023 | 142 | 0.5185 | 0.3469 | 0.5185 | 0.7200 |
| No log | 3.3488 | 144 | 0.5529 | 0.3171 | 0.5529 | 0.7436 |
| No log | 3.3953 | 146 | 0.5163 | 0.4620 | 0.5163 | 0.7186 |
| No log | 3.4419 | 148 | 0.6084 | 0.2746 | 0.6084 | 0.7800 |
| No log | 3.4884 | 150 | 0.5784 | 0.3548 | 0.5784 | 0.7605 |
| No log | 3.5349 | 152 | 0.5467 | 0.3224 | 0.5467 | 0.7394 |
| No log | 3.5814 | 154 | 0.7033 | 0.2074 | 0.7033 | 0.8387 |
| No log | 3.6279 | 156 | 0.5848 | 0.2821 | 0.5848 | 0.7647 |
| No log | 3.6744 | 158 | 0.5641 | 0.2644 | 0.5641 | 0.7510 |
| No log | 3.7209 | 160 | 0.6521 | 0.2766 | 0.6521 | 0.8075 |
| No log | 3.7674 | 162 | 0.6580 | 0.2593 | 0.6580 | 0.8112 |
| No log | 3.8140 | 164 | 0.6110 | 0.1902 | 0.6110 | 0.7817 |
| No log | 3.8605 | 166 | 0.6338 | 0.2485 | 0.6338 | 0.7961 |
| No log | 3.9070 | 168 | 0.6168 | 0.0064 | 0.6168 | 0.7854 |
| No log | 3.9535 | 170 | 0.6306 | 0.0180 | 0.6306 | 0.7941 |
| No log | 4.0 | 172 | 0.6352 | 0.1461 | 0.6352 | 0.7970 |
| No log | 4.0465 | 174 | 0.6400 | 0.1913 | 0.6400 | 0.8000 |
| No log | 4.0930 | 176 | 0.8677 | 0.2000 | 0.8677 | 0.9315 |
| No log | 4.1395 | 178 | 0.8135 | 0.2000 | 0.8135 | 0.9020 |
| No log | 4.1860 | 180 | 0.6378 | 0.1919 | 0.6378 | 0.7986 |
| No log | 4.2326 | 182 | 1.0495 | 0.1289 | 1.0495 | 1.0244 |
| No log | 4.2791 | 184 | 1.0627 | 0.1289 | 1.0627 | 1.0309 |
| No log | 4.3256 | 186 | 0.6704 | 0.1683 | 0.6704 | 0.8188 |
| No log | 4.3721 | 188 | 0.8044 | 0.2356 | 0.8044 | 0.8969 |
| No log | 4.4186 | 190 | 0.9694 | 0.136 | 0.9694 | 0.9846 |
| No log | 4.4651 | 192 | 0.7398 | 0.3052 | 0.7398 | 0.8601 |
| No log | 4.5116 | 194 | 0.5650 | 0.2707 | 0.5650 | 0.7517 |
| No log | 4.5581 | 196 | 0.7043 | 0.2607 | 0.7043 | 0.8393 |
| No log | 4.6047 | 198 | 0.8065 | 0.2838 | 0.8065 | 0.8981 |
| No log | 4.6512 | 200 | 0.6121 | 0.2475 | 0.6121 | 0.7824 |
| No log | 4.6977 | 202 | 0.5536 | 0.2558 | 0.5536 | 0.7441 |
| No log | 4.7442 | 204 | 0.6333 | 0.3103 | 0.6333 | 0.7958 |
| No log | 4.7907 | 206 | 0.5367 | 0.2444 | 0.5367 | 0.7326 |
| No log | 4.8372 | 208 | 0.5233 | 0.4286 | 0.5233 | 0.7234 |
| No log | 4.8837 | 210 | 0.5420 | 0.4627 | 0.5420 | 0.7362 |
| No log | 4.9302 | 212 | 0.5335 | 0.4286 | 0.5335 | 0.7304 |
| No log | 4.9767 | 214 | 0.5385 | 0.2707 | 0.5385 | 0.7338 |
| No log | 5.0233 | 216 | 0.5590 | 0.3478 | 0.5590 | 0.7477 |
| No log | 5.0698 | 218 | 0.6312 | 0.2323 | 0.6312 | 0.7945 |
| No log | 5.1163 | 220 | 0.6869 | 0.2000 | 0.6869 | 0.8288 |
| No log | 5.1628 | 222 | 0.5827 | 0.3446 | 0.5827 | 0.7634 |
| No log | 5.2093 | 224 | 0.6901 | 0.3208 | 0.6901 | 0.8307 |
| No log | 5.2558 | 226 | 0.8304 | 0.2000 | 0.8304 | 0.9112 |
| No log | 5.3023 | 228 | 0.7189 | 0.2593 | 0.7189 | 0.8479 |
| No log | 5.3488 | 230 | 0.5802 | 0.2787 | 0.5802 | 0.7617 |
| No log | 5.3953 | 232 | 0.5824 | 0.2609 | 0.5824 | 0.7631 |
| No log | 5.4419 | 234 | 0.5722 | 0.2766 | 0.5722 | 0.7564 |
| No log | 5.4884 | 236 | 0.6866 | 0.3143 | 0.6866 | 0.8286 |
| No log | 5.5349 | 238 | 0.7380 | 0.2593 | 0.7380 | 0.8591 |
| No log | 5.5814 | 240 | 0.6102 | 0.3846 | 0.6102 | 0.7812 |
| No log | 5.6279 | 242 | 0.5612 | 0.2766 | 0.5612 | 0.7492 |
| No log | 5.6744 | 244 | 0.5715 | 0.1908 | 0.5715 | 0.7560 |
| No log | 5.7209 | 246 | 0.5616 | 0.2432 | 0.5616 | 0.7494 |
| No log | 5.7674 | 248 | 0.5942 | 0.3052 | 0.5942 | 0.7709 |
| No log | 5.8140 | 250 | 0.6062 | 0.3333 | 0.6062 | 0.7786 |
| No log | 5.8605 | 252 | 0.5641 | 0.3488 | 0.5641 | 0.7511 |
| No log | 5.9070 | 254 | 0.5433 | 0.2941 | 0.5433 | 0.7371 |
| No log | 5.9535 | 256 | 0.5898 | 0.3365 | 0.5898 | 0.7680 |
| No log | 6.0 | 258 | 0.6076 | 0.3628 | 0.6076 | 0.7795 |
| No log | 6.0465 | 260 | 0.5760 | 0.3878 | 0.5760 | 0.7590 |
| No log | 6.0930 | 262 | 0.5054 | 0.3978 | 0.5054 | 0.7109 |
| No log | 6.1395 | 264 | 0.4923 | 0.4225 | 0.4923 | 0.7016 |
| No log | 6.1860 | 266 | 0.4888 | 0.4112 | 0.4888 | 0.6992 |
| No log | 6.2326 | 268 | 0.5056 | 0.3575 | 0.5056 | 0.7111 |
| No log | 6.2791 | 270 | 0.5671 | 0.2621 | 0.5671 | 0.7531 |
| No log | 6.3256 | 272 | 0.5532 | 0.2709 | 0.5532 | 0.7438 |
| No log | 6.3721 | 274 | 0.5196 | 0.3617 | 0.5196 | 0.7208 |
| No log | 6.4186 | 276 | 0.5251 | 0.3617 | 0.5251 | 0.7246 |
| No log | 6.4651 | 278 | 0.5599 | 0.2941 | 0.5599 | 0.7483 |
| No log | 6.5116 | 280 | 0.5481 | 0.4286 | 0.5481 | 0.7404 |
| No log | 6.5581 | 282 | 0.5255 | 0.3978 | 0.5255 | 0.7249 |
| No log | 6.6047 | 284 | 0.5319 | 0.3769 | 0.5319 | 0.7293 |
| No log | 6.6512 | 286 | 0.5621 | 0.2709 | 0.5621 | 0.7498 |
| No log | 6.6977 | 288 | 0.5420 | 0.3402 | 0.5420 | 0.7362 |
| No log | 6.7442 | 290 | 0.5177 | 0.3575 | 0.5177 | 0.7195 |
| No log | 6.7907 | 292 | 0.5085 | 0.3369 | 0.5085 | 0.7131 |
| No log | 6.8372 | 294 | 0.5151 | 0.3224 | 0.5151 | 0.7177 |
| No log | 6.8837 | 296 | 0.5040 | 0.2967 | 0.5040 | 0.7100 |
| No log | 6.9302 | 298 | 0.5027 | 0.3149 | 0.5027 | 0.7090 |
| No log | 6.9767 | 300 | 0.5027 | 0.3797 | 0.5027 | 0.7090 |
| No log | 7.0233 | 302 | 0.5194 | 0.3663 | 0.5194 | 0.7207 |
| No log | 7.0698 | 304 | 0.5110 | 0.3367 | 0.5110 | 0.7148 |
| No log | 7.1163 | 306 | 0.4992 | 0.3730 | 0.4992 | 0.7066 |
| No log | 7.1628 | 308 | 0.5058 | 0.5 | 0.5058 | 0.7112 |
| No log | 7.2093 | 310 | 0.5004 | 0.4105 | 0.5004 | 0.7074 |
| No log | 7.2558 | 312 | 0.5002 | 0.3927 | 0.5002 | 0.7073 |
| No log | 7.3023 | 314 | 0.5209 | 0.3561 | 0.5209 | 0.7217 |
| No log | 7.3488 | 316 | 0.5260 | 0.3561 | 0.5260 | 0.7252 |
| No log | 7.3953 | 318 | 0.5098 | 0.3769 | 0.5098 | 0.7140 |
| No log | 7.4419 | 320 | 0.5094 | 0.3990 | 0.5094 | 0.7137 |
| No log | 7.4884 | 322 | 0.5133 | 0.3769 | 0.5133 | 0.7165 |
| No log | 7.5349 | 324 | 0.5142 | 0.3878 | 0.5142 | 0.7171 |
| No log | 7.5814 | 326 | 0.5145 | 0.3878 | 0.5145 | 0.7173 |
| No log | 7.6279 | 328 | 0.5127 | 0.3878 | 0.5127 | 0.7160 |
| No log | 7.6744 | 330 | 0.5220 | 0.3043 | 0.5220 | 0.7225 |
| No log | 7.7209 | 332 | 0.5482 | 0.2871 | 0.5482 | 0.7404 |
| No log | 7.7674 | 334 | 0.5447 | 0.2871 | 0.5447 | 0.7381 |
| No log | 7.8140 | 336 | 0.5201 | 0.3043 | 0.5201 | 0.7212 |
| No log | 7.8605 | 338 | 0.5139 | 0.3797 | 0.5139 | 0.7169 |
| No log | 7.9070 | 340 | 0.5142 | 0.3407 | 0.5142 | 0.7171 |
| No log | 7.9535 | 342 | 0.5173 | 0.3043 | 0.5173 | 0.7192 |
| No log | 8.0 | 344 | 0.5211 | 0.2941 | 0.5211 | 0.7219 |
| No log | 8.0465 | 346 | 0.5244 | 0.3263 | 0.5244 | 0.7242 |
| No log | 8.0930 | 348 | 0.5113 | 0.3402 | 0.5113 | 0.7150 |
| No log | 8.1395 | 350 | 0.5100 | 0.3591 | 0.5100 | 0.7142 |
| No log | 8.1860 | 352 | 0.5180 | 0.3898 | 0.5180 | 0.7197 |
| No log | 8.2326 | 354 | 0.5239 | 0.3898 | 0.5239 | 0.7238 |
| No log | 8.2791 | 356 | 0.5117 | 0.3898 | 0.5117 | 0.7153 |
| No log | 8.3256 | 358 | 0.5027 | 0.3829 | 0.5027 | 0.7090 |
| No log | 8.3721 | 360 | 0.4917 | 0.3708 | 0.4917 | 0.7012 |
| No log | 8.4186 | 362 | 0.4882 | 0.3661 | 0.4882 | 0.6987 |
| No log | 8.4651 | 364 | 0.4874 | 0.3258 | 0.4874 | 0.6982 |
| No log | 8.5116 | 366 | 0.4932 | 0.3478 | 0.4932 | 0.7023 |
| No log | 8.5581 | 368 | 0.4974 | 0.3369 | 0.4974 | 0.7053 |
| No log | 8.6047 | 370 | 0.4936 | 0.3478 | 0.4936 | 0.7025 |
| No log | 8.6512 | 372 | 0.4919 | 0.3862 | 0.4919 | 0.7014 |
| No log | 8.6977 | 374 | 0.4927 | 0.3862 | 0.4927 | 0.7019 |
| No log | 8.7442 | 376 | 0.4917 | 0.3548 | 0.4917 | 0.7012 |
| No log | 8.7907 | 378 | 0.4907 | 0.4098 | 0.4907 | 0.7005 |
| No log | 8.8372 | 380 | 0.4922 | 0.4468 | 0.4922 | 0.7016 |
| No log | 8.8837 | 382 | 0.4964 | 0.4583 | 0.4964 | 0.7046 |
| No log | 8.9302 | 384 | 0.5062 | 0.3661 | 0.5062 | 0.7114 |
| No log | 8.9767 | 386 | 0.5090 | 0.3661 | 0.5090 | 0.7135 |
| No log | 9.0233 | 388 | 0.5133 | 0.3778 | 0.5133 | 0.7164 |
| No log | 9.0698 | 390 | 0.5101 | 0.3661 | 0.5101 | 0.7142 |
| No log | 9.1163 | 392 | 0.5015 | 0.4583 | 0.5015 | 0.7082 |
| No log | 9.1628 | 394 | 0.4973 | 0.4468 | 0.4973 | 0.7052 |
| No log | 9.2093 | 396 | 0.4980 | 0.4098 | 0.4980 | 0.7057 |
| No log | 9.2558 | 398 | 0.4985 | 0.4098 | 0.4985 | 0.7060 |
| No log | 9.3023 | 400 | 0.4987 | 0.4098 | 0.4987 | 0.7062 |
| No log | 9.3488 | 402 | 0.4994 | 0.3548 | 0.4994 | 0.7067 |
| No log | 9.3953 | 404 | 0.5024 | 0.3369 | 0.5024 | 0.7088 |
| No log | 9.4419 | 406 | 0.5034 | 0.3369 | 0.5034 | 0.7095 |
| No log | 9.4884 | 408 | 0.5053 | 0.3263 | 0.5053 | 0.7109 |
| No log | 9.5349 | 410 | 0.5035 | 0.3369 | 0.5035 | 0.7096 |
| No log | 9.5814 | 412 | 0.5005 | 0.3591 | 0.5005 | 0.7075 |
| No log | 9.6279 | 414 | 0.4995 | 0.3591 | 0.4995 | 0.7067 |
| No log | 9.6744 | 416 | 0.4988 | 0.3591 | 0.4988 | 0.7063 |
| No log | 9.7209 | 418 | 0.4981 | 0.3591 | 0.4981 | 0.7058 |
| No log | 9.7674 | 420 | 0.4979 | 0.3978 | 0.4979 | 0.7057 |
| No log | 9.8140 | 422 | 0.4979 | 0.3978 | 0.4979 | 0.7056 |
| No log | 9.8605 | 424 | 0.4981 | 0.4098 | 0.4981 | 0.7058 |
| No log | 9.9070 | 426 | 0.4982 | 0.4098 | 0.4982 | 0.7059 |
| No log | 9.9535 | 428 | 0.4984 | 0.4468 | 0.4984 | 0.7059 |
| No log | 10.0 | 430 | 0.4984 | 0.4595 | 0.4984 | 0.7060 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.0+cu118
- Datasets 2.21.0
- Tokenizers 0.19.1
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Model tree for MayBashendy/ArabicNewSplits5_FineTuningAraBERT_run2_AugV5_k7_task3_organization
Base model
aubmindlab/bert-base-arabertv02