ArabicNewSplits6_FineTuningAraBERT_run3_AugV5_k9_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: 0.5442
- Qwk: 0.3892
- Mse: 0.5442
- Rmse: 0.7377
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 | 3.4572 | -0.0066 | 3.4572 | 1.8594 |
| No log | 0.0930 | 4 | 1.7549 | -0.0101 | 1.7549 | 1.3247 |
| No log | 0.1395 | 6 | 1.1272 | 0.0376 | 1.1272 | 1.0617 |
| No log | 0.1860 | 8 | 1.7482 | 0.0617 | 1.7482 | 1.3222 |
| No log | 0.2326 | 10 | 0.9512 | 0.0847 | 0.9512 | 0.9753 |
| No log | 0.2791 | 12 | 0.8519 | 0.0957 | 0.8519 | 0.9230 |
| No log | 0.3256 | 14 | 0.6201 | 0.0388 | 0.6201 | 0.7874 |
| No log | 0.3721 | 16 | 0.6267 | 0.0476 | 0.6267 | 0.7917 |
| No log | 0.4186 | 18 | 0.9489 | 0.0244 | 0.9489 | 0.9741 |
| No log | 0.4651 | 20 | 0.9988 | 0.0522 | 0.9988 | 0.9994 |
| No log | 0.5116 | 22 | 0.7931 | 0.0980 | 0.7931 | 0.8906 |
| No log | 0.5581 | 24 | 0.6205 | -0.0303 | 0.6205 | 0.7877 |
| No log | 0.6047 | 26 | 0.6066 | 0.0569 | 0.6066 | 0.7789 |
| No log | 0.6512 | 28 | 0.6063 | -0.0081 | 0.6063 | 0.7787 |
| No log | 0.6977 | 30 | 0.6731 | 0.0877 | 0.6731 | 0.8204 |
| No log | 0.7442 | 32 | 0.8507 | 0.1050 | 0.8507 | 0.9223 |
| No log | 0.7907 | 34 | 0.7794 | 0.1238 | 0.7794 | 0.8828 |
| No log | 0.8372 | 36 | 0.6049 | 0.2308 | 0.6049 | 0.7778 |
| No log | 0.8837 | 38 | 0.7732 | 0.1475 | 0.7732 | 0.8793 |
| No log | 0.9302 | 40 | 0.8512 | 0.1930 | 0.8512 | 0.9226 |
| No log | 0.9767 | 42 | 0.6090 | 0.2000 | 0.6090 | 0.7804 |
| No log | 1.0233 | 44 | 1.2304 | 0.0657 | 1.2304 | 1.1092 |
| No log | 1.0698 | 46 | 1.6672 | 0.0924 | 1.6672 | 1.2912 |
| No log | 1.1163 | 48 | 0.9711 | 0.1417 | 0.9711 | 0.9855 |
| No log | 1.1628 | 50 | 0.5861 | 0.2308 | 0.5861 | 0.7656 |
| No log | 1.2093 | 52 | 0.6929 | 0.1915 | 0.6929 | 0.8324 |
| No log | 1.2558 | 54 | 0.5746 | 0.1781 | 0.5746 | 0.7580 |
| No log | 1.3023 | 56 | 0.6024 | 0.3103 | 0.6024 | 0.7761 |
| No log | 1.3488 | 58 | 0.7535 | 0.1930 | 0.7535 | 0.8680 |
| No log | 1.3953 | 60 | 0.7090 | 0.2381 | 0.7090 | 0.8420 |
| No log | 1.4419 | 62 | 0.5292 | 0.2298 | 0.5292 | 0.7274 |
| No log | 1.4884 | 64 | 0.8551 | 0.1597 | 0.8551 | 0.9247 |
| No log | 1.5349 | 66 | 0.9407 | 0.1648 | 0.9407 | 0.9699 |
| No log | 1.5814 | 68 | 0.6603 | 0.3171 | 0.6603 | 0.8126 |
| No log | 1.6279 | 70 | 0.6081 | 0.2281 | 0.6081 | 0.7798 |
| No log | 1.6744 | 72 | 0.6855 | 0.3016 | 0.6855 | 0.8280 |
| No log | 1.7209 | 74 | 0.5659 | 0.2405 | 0.5659 | 0.7523 |
| No log | 1.7674 | 76 | 0.6248 | 0.2516 | 0.6248 | 0.7904 |
| No log | 1.8140 | 78 | 0.7758 | 0.1818 | 0.7758 | 0.8808 |
| No log | 1.8605 | 80 | 0.5869 | 0.1773 | 0.5869 | 0.7661 |
| No log | 1.9070 | 82 | 0.5312 | 0.3067 | 0.5312 | 0.7288 |
| No log | 1.9535 | 84 | 0.5689 | 0.3333 | 0.5689 | 0.7542 |
| No log | 2.0 | 86 | 0.6154 | 0.3118 | 0.6154 | 0.7845 |
| No log | 2.0465 | 88 | 0.5536 | 0.3086 | 0.5536 | 0.7440 |
| No log | 2.0930 | 90 | 0.5018 | 0.2632 | 0.5018 | 0.7084 |
| No log | 2.1395 | 92 | 0.5387 | 0.3171 | 0.5387 | 0.7340 |
| No log | 2.1860 | 94 | 0.6165 | 0.3016 | 0.6165 | 0.7852 |
| No log | 2.2326 | 96 | 0.7576 | 0.3138 | 0.7576 | 0.8704 |
| No log | 2.2791 | 98 | 0.6015 | 0.3905 | 0.6015 | 0.7756 |
| No log | 2.3256 | 100 | 0.6472 | 0.4067 | 0.6472 | 0.8045 |
| No log | 2.3721 | 102 | 1.0972 | 0.1837 | 1.0972 | 1.0475 |
| No log | 2.4186 | 104 | 1.4312 | 0.0886 | 1.4312 | 1.1963 |
| No log | 2.4651 | 106 | 1.1889 | 0.1020 | 1.1889 | 1.0903 |
| No log | 2.5116 | 108 | 0.7436 | 0.2863 | 0.7436 | 0.8623 |
| No log | 2.5581 | 110 | 0.8284 | 0.2863 | 0.8284 | 0.9102 |
| No log | 2.6047 | 112 | 1.2385 | 0.1096 | 1.2385 | 1.1129 |
| No log | 2.6512 | 114 | 1.0140 | 0.1161 | 1.0140 | 1.0070 |
| No log | 2.6977 | 116 | 0.7627 | 0.3202 | 0.7627 | 0.8733 |
| No log | 2.7442 | 118 | 0.8940 | 0.2063 | 0.8940 | 0.9455 |
| No log | 2.7907 | 120 | 0.8767 | 0.1741 | 0.8767 | 0.9363 |
| No log | 2.8372 | 122 | 0.7615 | 0.2068 | 0.7615 | 0.8726 |
| No log | 2.8837 | 124 | 0.7768 | 0.2068 | 0.7768 | 0.8814 |
| No log | 2.9302 | 126 | 0.5842 | 0.4043 | 0.5842 | 0.7644 |
| No log | 2.9767 | 128 | 0.7597 | 0.2414 | 0.7597 | 0.8716 |
| No log | 3.0233 | 130 | 0.9051 | 0.2191 | 0.9051 | 0.9514 |
| No log | 3.0698 | 132 | 0.9013 | 0.1875 | 0.9013 | 0.9494 |
| No log | 3.1163 | 134 | 0.5636 | 0.4526 | 0.5636 | 0.7507 |
| No log | 3.1628 | 136 | 0.5721 | 0.4526 | 0.5721 | 0.7564 |
| No log | 3.2093 | 138 | 0.5700 | 0.4526 | 0.5700 | 0.7550 |
| No log | 3.2558 | 140 | 0.7402 | 0.3242 | 0.7402 | 0.8604 |
| No log | 3.3023 | 142 | 0.6772 | 0.4182 | 0.6772 | 0.8229 |
| No log | 3.3488 | 144 | 0.7289 | 0.4286 | 0.7289 | 0.8538 |
| No log | 3.3953 | 146 | 0.9002 | 0.2714 | 0.9002 | 0.9488 |
| No log | 3.4419 | 148 | 0.6229 | 0.4483 | 0.6229 | 0.7892 |
| No log | 3.4884 | 150 | 0.6325 | 0.4138 | 0.6325 | 0.7953 |
| No log | 3.5349 | 152 | 0.8803 | 0.2124 | 0.8803 | 0.9382 |
| No log | 3.5814 | 154 | 0.6588 | 0.3909 | 0.6588 | 0.8117 |
| No log | 3.6279 | 156 | 0.5171 | 0.5282 | 0.5171 | 0.7191 |
| No log | 3.6744 | 158 | 0.5385 | 0.4924 | 0.5385 | 0.7339 |
| No log | 3.7209 | 160 | 0.6468 | 0.2711 | 0.6468 | 0.8042 |
| No log | 3.7674 | 162 | 0.5719 | 0.4396 | 0.5719 | 0.7563 |
| No log | 3.8140 | 164 | 0.4983 | 0.4743 | 0.4983 | 0.7059 |
| No log | 3.8605 | 166 | 0.5911 | 0.2780 | 0.5911 | 0.7688 |
| No log | 3.9070 | 168 | 0.9206 | 0.1667 | 0.9206 | 0.9595 |
| No log | 3.9535 | 170 | 0.8014 | 0.25 | 0.8014 | 0.8952 |
| No log | 4.0 | 172 | 0.4876 | 0.4802 | 0.4876 | 0.6983 |
| No log | 4.0465 | 174 | 0.4838 | 0.4545 | 0.4838 | 0.6956 |
| No log | 4.0930 | 176 | 0.5311 | 0.4924 | 0.5311 | 0.7288 |
| No log | 4.1395 | 178 | 0.6555 | 0.3580 | 0.6555 | 0.8097 |
| No log | 4.1860 | 180 | 0.6088 | 0.3628 | 0.6088 | 0.7802 |
| No log | 4.2326 | 182 | 0.5029 | 0.4839 | 0.5029 | 0.7091 |
| No log | 4.2791 | 184 | 0.5180 | 0.4882 | 0.5180 | 0.7197 |
| No log | 4.3256 | 186 | 0.6425 | 0.3473 | 0.6425 | 0.8016 |
| No log | 4.3721 | 188 | 1.1111 | 0.2102 | 1.1111 | 1.0541 |
| No log | 4.4186 | 190 | 1.1200 | 0.2102 | 1.1200 | 1.0583 |
| No log | 4.4651 | 192 | 0.7042 | 0.4023 | 0.7042 | 0.8391 |
| No log | 4.5116 | 194 | 0.5156 | 0.4737 | 0.5156 | 0.7180 |
| No log | 4.5581 | 196 | 0.5310 | 0.4286 | 0.5310 | 0.7287 |
| No log | 4.6047 | 198 | 0.4959 | 0.4819 | 0.4959 | 0.7042 |
| No log | 4.6512 | 200 | 0.7238 | 0.3882 | 0.7238 | 0.8508 |
| No log | 4.6977 | 202 | 0.6920 | 0.4109 | 0.6920 | 0.8319 |
| No log | 4.7442 | 204 | 0.5190 | 0.4709 | 0.5190 | 0.7204 |
| No log | 4.7907 | 206 | 0.5366 | 0.4709 | 0.5366 | 0.7325 |
| No log | 4.8372 | 208 | 0.6254 | 0.3504 | 0.6254 | 0.7908 |
| No log | 4.8837 | 210 | 0.5764 | 0.4393 | 0.5764 | 0.7592 |
| No log | 4.9302 | 212 | 0.6255 | 0.3665 | 0.6255 | 0.7909 |
| No log | 4.9767 | 214 | 0.5750 | 0.4286 | 0.5750 | 0.7583 |
| No log | 5.0233 | 216 | 0.5914 | 0.4123 | 0.5914 | 0.7690 |
| No log | 5.0698 | 218 | 0.5500 | 0.4227 | 0.5500 | 0.7416 |
| No log | 5.1163 | 220 | 0.5670 | 0.4286 | 0.5670 | 0.7530 |
| No log | 5.1628 | 222 | 0.5867 | 0.4074 | 0.5867 | 0.7660 |
| No log | 5.2093 | 224 | 0.5234 | 0.4346 | 0.5234 | 0.7235 |
| No log | 5.2558 | 226 | 0.5288 | 0.4346 | 0.5288 | 0.7272 |
| No log | 5.3023 | 228 | 0.5668 | 0.4051 | 0.5668 | 0.7528 |
| No log | 5.3488 | 230 | 0.5949 | 0.3548 | 0.5949 | 0.7713 |
| No log | 5.3953 | 232 | 0.5476 | 0.4343 | 0.5476 | 0.7400 |
| No log | 5.4419 | 234 | 0.5210 | 0.4343 | 0.5210 | 0.7218 |
| No log | 5.4884 | 236 | 0.5784 | 0.3962 | 0.5784 | 0.7605 |
| No log | 5.5349 | 238 | 0.6693 | 0.3755 | 0.6693 | 0.8181 |
| No log | 5.5814 | 240 | 0.6264 | 0.3480 | 0.6264 | 0.7915 |
| No log | 5.6279 | 242 | 0.5506 | 0.4341 | 0.5506 | 0.7420 |
| No log | 5.6744 | 244 | 0.6512 | 0.3418 | 0.6512 | 0.8070 |
| No log | 5.7209 | 246 | 0.8376 | 0.2409 | 0.8376 | 0.9152 |
| No log | 5.7674 | 248 | 0.7237 | 0.3651 | 0.7237 | 0.8507 |
| No log | 5.8140 | 250 | 0.4950 | 0.4404 | 0.4950 | 0.7035 |
| No log | 5.8605 | 252 | 0.4495 | 0.5111 | 0.4495 | 0.6704 |
| No log | 5.9070 | 254 | 0.4576 | 0.4839 | 0.4576 | 0.6764 |
| No log | 5.9535 | 256 | 0.5138 | 0.4286 | 0.5138 | 0.7168 |
| No log | 6.0 | 258 | 0.6456 | 0.3793 | 0.6456 | 0.8035 |
| No log | 6.0465 | 260 | 0.7077 | 0.4050 | 0.7077 | 0.8413 |
| No log | 6.0930 | 262 | 0.6292 | 0.3391 | 0.6292 | 0.7932 |
| No log | 6.1395 | 264 | 0.5511 | 0.3990 | 0.5511 | 0.7424 |
| No log | 6.1860 | 266 | 0.5411 | 0.4286 | 0.5411 | 0.7356 |
| No log | 6.2326 | 268 | 0.5928 | 0.3892 | 0.5928 | 0.7700 |
| No log | 6.2791 | 270 | 0.5621 | 0.3990 | 0.5621 | 0.7497 |
| No log | 6.3256 | 272 | 0.5552 | 0.3990 | 0.5552 | 0.7451 |
| No log | 6.3721 | 274 | 0.5565 | 0.3990 | 0.5565 | 0.7460 |
| No log | 6.4186 | 276 | 0.6098 | 0.3524 | 0.6098 | 0.7809 |
| No log | 6.4651 | 278 | 0.6448 | 0.3153 | 0.6448 | 0.8030 |
| No log | 6.5116 | 280 | 0.5861 | 0.36 | 0.5861 | 0.7655 |
| No log | 6.5581 | 282 | 0.5055 | 0.4667 | 0.5055 | 0.7110 |
| No log | 6.6047 | 284 | 0.4965 | 0.4917 | 0.4965 | 0.7046 |
| No log | 6.6512 | 286 | 0.5052 | 0.4483 | 0.5052 | 0.7108 |
| No log | 6.6977 | 288 | 0.5675 | 0.3407 | 0.5675 | 0.7533 |
| No log | 6.7442 | 290 | 0.6761 | 0.3103 | 0.6761 | 0.8223 |
| No log | 6.7907 | 292 | 0.6821 | 0.2727 | 0.6821 | 0.8259 |
| No log | 6.8372 | 294 | 0.6402 | 0.2775 | 0.6402 | 0.8001 |
| No log | 6.8837 | 296 | 0.6491 | 0.2743 | 0.6491 | 0.8057 |
| No log | 6.9302 | 298 | 0.5770 | 0.3846 | 0.5770 | 0.7596 |
| No log | 6.9767 | 300 | 0.5374 | 0.4175 | 0.5374 | 0.7331 |
| No log | 7.0233 | 302 | 0.5449 | 0.4123 | 0.5449 | 0.7381 |
| No log | 7.0698 | 304 | 0.6131 | 0.3305 | 0.6131 | 0.7830 |
| No log | 7.1163 | 306 | 0.6554 | 0.3834 | 0.6554 | 0.8095 |
| No log | 7.1628 | 308 | 0.6691 | 0.3834 | 0.6691 | 0.8180 |
| No log | 7.2093 | 310 | 0.6681 | 0.3548 | 0.6681 | 0.8174 |
| No log | 7.2558 | 312 | 0.6550 | 0.3613 | 0.6550 | 0.8093 |
| No log | 7.3023 | 314 | 0.7104 | 0.3333 | 0.7104 | 0.8428 |
| No log | 7.3488 | 316 | 0.6733 | 0.2759 | 0.6733 | 0.8205 |
| No log | 7.3953 | 318 | 0.5694 | 0.3892 | 0.5694 | 0.7546 |
| No log | 7.4419 | 320 | 0.4980 | 0.4348 | 0.4980 | 0.7057 |
| No log | 7.4884 | 322 | 0.4877 | 0.5056 | 0.4877 | 0.6984 |
| No log | 7.5349 | 324 | 0.4894 | 0.4917 | 0.4894 | 0.6996 |
| No log | 7.5814 | 326 | 0.4998 | 0.4350 | 0.4998 | 0.7070 |
| No log | 7.6279 | 328 | 0.5249 | 0.4639 | 0.5249 | 0.7245 |
| No log | 7.6744 | 330 | 0.5663 | 0.3990 | 0.5663 | 0.7525 |
| No log | 7.7209 | 332 | 0.5927 | 0.3892 | 0.5927 | 0.7699 |
| No log | 7.7674 | 334 | 0.5688 | 0.3990 | 0.5688 | 0.7542 |
| No log | 7.8140 | 336 | 0.5243 | 0.4462 | 0.5243 | 0.7241 |
| No log | 7.8605 | 338 | 0.5207 | 0.4694 | 0.5207 | 0.7216 |
| No log | 7.9070 | 340 | 0.5330 | 0.4400 | 0.5330 | 0.7301 |
| No log | 7.9535 | 342 | 0.5851 | 0.4286 | 0.5851 | 0.7649 |
| No log | 8.0 | 344 | 0.6667 | 0.3333 | 0.6667 | 0.8165 |
| No log | 8.0465 | 346 | 0.6894 | 0.3306 | 0.6894 | 0.8303 |
| No log | 8.0930 | 348 | 0.6400 | 0.3684 | 0.6400 | 0.8000 |
| No log | 8.1395 | 350 | 0.5899 | 0.4175 | 0.5899 | 0.7680 |
| No log | 8.1860 | 352 | 0.5420 | 0.4639 | 0.5420 | 0.7362 |
| No log | 8.2326 | 354 | 0.5332 | 0.4639 | 0.5332 | 0.7302 |
| No log | 8.2791 | 356 | 0.5549 | 0.4286 | 0.5549 | 0.7449 |
| No log | 8.3256 | 358 | 0.5924 | 0.3394 | 0.5924 | 0.7697 |
| No log | 8.3721 | 360 | 0.6195 | 0.3648 | 0.6195 | 0.7871 |
| No log | 8.4186 | 362 | 0.6400 | 0.3648 | 0.6400 | 0.8000 |
| No log | 8.4651 | 364 | 0.6037 | 0.3722 | 0.6037 | 0.7770 |
| No log | 8.5116 | 366 | 0.5524 | 0.4229 | 0.5524 | 0.7432 |
| No log | 8.5581 | 368 | 0.5460 | 0.4286 | 0.5460 | 0.7389 |
| No log | 8.6047 | 370 | 0.5306 | 0.4171 | 0.5306 | 0.7284 |
| No log | 8.6512 | 372 | 0.5262 | 0.4455 | 0.5262 | 0.7254 |
| No log | 8.6977 | 374 | 0.5450 | 0.4171 | 0.5450 | 0.7382 |
| No log | 8.7442 | 376 | 0.5866 | 0.3665 | 0.5866 | 0.7659 |
| No log | 8.7907 | 378 | 0.6064 | 0.3684 | 0.6064 | 0.7787 |
| No log | 8.8372 | 380 | 0.6136 | 0.3648 | 0.6136 | 0.7833 |
| No log | 8.8837 | 382 | 0.6090 | 0.3394 | 0.6090 | 0.7804 |
| No log | 8.9302 | 384 | 0.6129 | 0.3363 | 0.6129 | 0.7829 |
| No log | 8.9767 | 386 | 0.6120 | 0.3333 | 0.6120 | 0.7823 |
| No log | 9.0233 | 388 | 0.6206 | 0.3333 | 0.6206 | 0.7878 |
| No log | 9.0698 | 390 | 0.5993 | 0.3394 | 0.5993 | 0.7741 |
| No log | 9.1163 | 392 | 0.5751 | 0.3665 | 0.5751 | 0.7583 |
| No log | 9.1628 | 394 | 0.5633 | 0.3744 | 0.5633 | 0.7505 |
| No log | 9.2093 | 396 | 0.5652 | 0.3744 | 0.5652 | 0.7518 |
| No log | 9.2558 | 398 | 0.5828 | 0.3394 | 0.5828 | 0.7634 |
| No log | 9.3023 | 400 | 0.5963 | 0.3394 | 0.5963 | 0.7722 |
| No log | 9.3488 | 402 | 0.6002 | 0.3394 | 0.6002 | 0.7747 |
| No log | 9.3953 | 404 | 0.5990 | 0.3394 | 0.5990 | 0.7740 |
| No log | 9.4419 | 406 | 0.5946 | 0.3394 | 0.5946 | 0.7711 |
| No log | 9.4884 | 408 | 0.5738 | 0.3427 | 0.5738 | 0.7575 |
| No log | 9.5349 | 410 | 0.5586 | 0.3892 | 0.5586 | 0.7474 |
| No log | 9.5814 | 412 | 0.5531 | 0.3892 | 0.5531 | 0.7437 |
| No log | 9.6279 | 414 | 0.5453 | 0.3892 | 0.5453 | 0.7384 |
| No log | 9.6744 | 416 | 0.5448 | 0.3892 | 0.5448 | 0.7381 |
| No log | 9.7209 | 418 | 0.5435 | 0.3892 | 0.5435 | 0.7372 |
| No log | 9.7674 | 420 | 0.5398 | 0.4175 | 0.5398 | 0.7347 |
| No log | 9.8140 | 422 | 0.5405 | 0.4175 | 0.5405 | 0.7352 |
| No log | 9.8605 | 424 | 0.5404 | 0.4175 | 0.5404 | 0.7351 |
| No log | 9.9070 | 426 | 0.5417 | 0.4175 | 0.5417 | 0.7360 |
| No log | 9.9535 | 428 | 0.5437 | 0.3892 | 0.5437 | 0.7373 |
| No log | 10.0 | 430 | 0.5442 | 0.3892 | 0.5442 | 0.7377 |
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/ArabicNewSplits6_FineTuningAraBERT_run3_AugV5_k9_task3_organization
Base model
aubmindlab/bert-base-arabertv02