Instructions to use MayBashendy/ArabicNewSplits7_FineTuningAraBERT_run2_AugV5_k10_task1_organization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MayBashendy/ArabicNewSplits7_FineTuningAraBERT_run2_AugV5_k10_task1_organization with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="MayBashendy/ArabicNewSplits7_FineTuningAraBERT_run2_AugV5_k10_task1_organization")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("MayBashendy/ArabicNewSplits7_FineTuningAraBERT_run2_AugV5_k10_task1_organization") model = AutoModelForSequenceClassification.from_pretrained("MayBashendy/ArabicNewSplits7_FineTuningAraBERT_run2_AugV5_k10_task1_organization", device_map="auto") - Notebooks
- Google Colab
- Kaggle
ArabicNewSplits7_FineTuningAraBERT_run2_AugV5_k10_task1_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: 0.9463
- Qwk: 0.6423
- Mse: 0.9463
- Rmse: 0.9728
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 | 0.0426 | 2 | 6.8944 | -0.0169 | 6.8944 | 2.6257 |
| No log | 0.0851 | 4 | 3.8887 | 0.0571 | 3.8887 | 1.9720 |
| No log | 0.1277 | 6 | 2.4780 | 0.1146 | 2.4780 | 1.5742 |
| No log | 0.1702 | 8 | 1.8315 | 0.1754 | 1.8315 | 1.3533 |
| No log | 0.2128 | 10 | 1.7146 | 0.1905 | 1.7146 | 1.3094 |
| No log | 0.2553 | 12 | 1.7617 | 0.1905 | 1.7617 | 1.3273 |
| No log | 0.2979 | 14 | 2.0241 | 0.1754 | 2.0241 | 1.4227 |
| No log | 0.3404 | 16 | 2.0670 | 0.1951 | 2.0670 | 1.4377 |
| No log | 0.3830 | 18 | 2.0819 | 0.2137 | 2.0819 | 1.4429 |
| No log | 0.4255 | 20 | 2.0155 | 0.2381 | 2.0155 | 1.4197 |
| No log | 0.4681 | 22 | 1.9095 | 0.3051 | 1.9095 | 1.3818 |
| No log | 0.5106 | 24 | 1.8580 | 0.2807 | 1.8580 | 1.3631 |
| No log | 0.5532 | 26 | 1.7563 | 0.2056 | 1.7563 | 1.3252 |
| No log | 0.5957 | 28 | 1.5677 | 0.1165 | 1.5677 | 1.2521 |
| No log | 0.6383 | 30 | 1.4202 | 0.2593 | 1.4202 | 1.1917 |
| No log | 0.6809 | 32 | 1.4374 | 0.3063 | 1.4374 | 1.1989 |
| No log | 0.7234 | 34 | 1.4611 | 0.2679 | 1.4611 | 1.2087 |
| No log | 0.7660 | 36 | 1.8992 | 0.2836 | 1.8992 | 1.3781 |
| No log | 0.8085 | 38 | 1.9674 | 0.2319 | 1.9674 | 1.4026 |
| No log | 0.8511 | 40 | 1.4549 | 0.3559 | 1.4549 | 1.2062 |
| No log | 0.8936 | 42 | 1.2801 | 0.3932 | 1.2801 | 1.1314 |
| No log | 0.9362 | 44 | 1.2449 | 0.3932 | 1.2449 | 1.1157 |
| No log | 0.9787 | 46 | 1.2277 | 0.3761 | 1.2277 | 1.1080 |
| No log | 1.0213 | 48 | 1.4493 | 0.4531 | 1.4493 | 1.2039 |
| No log | 1.0638 | 50 | 1.4998 | 0.4462 | 1.4998 | 1.2247 |
| No log | 1.1064 | 52 | 1.2346 | 0.3967 | 1.2346 | 1.1111 |
| No log | 1.1489 | 54 | 1.1690 | 0.3063 | 1.1690 | 1.0812 |
| No log | 1.1915 | 56 | 1.2176 | 0.2430 | 1.2176 | 1.1035 |
| No log | 1.2340 | 58 | 1.3803 | 0.1887 | 1.3803 | 1.1749 |
| No log | 1.2766 | 60 | 1.4227 | 0.2222 | 1.4227 | 1.1928 |
| No log | 1.3191 | 62 | 1.1863 | 0.2957 | 1.1863 | 1.0892 |
| No log | 1.3617 | 64 | 1.0028 | 0.5079 | 1.0028 | 1.0014 |
| No log | 1.4043 | 66 | 0.9687 | 0.5630 | 0.9687 | 0.9842 |
| No log | 1.4468 | 68 | 1.0830 | 0.4640 | 1.0830 | 1.0407 |
| No log | 1.4894 | 70 | 1.4500 | 0.4035 | 1.4500 | 1.2042 |
| No log | 1.5319 | 72 | 1.5075 | 0.4065 | 1.5075 | 1.2278 |
| No log | 1.5745 | 74 | 1.2700 | 0.5970 | 1.2700 | 1.1269 |
| No log | 1.6170 | 76 | 1.0486 | 0.6522 | 1.0486 | 1.0240 |
| No log | 1.6596 | 78 | 0.8839 | 0.6944 | 0.8839 | 0.9401 |
| No log | 1.7021 | 80 | 0.9916 | 0.6483 | 0.9916 | 0.9958 |
| No log | 1.7447 | 82 | 0.9336 | 0.6712 | 0.9336 | 0.9662 |
| No log | 1.7872 | 84 | 0.9605 | 0.6383 | 0.9605 | 0.9801 |
| No log | 1.8298 | 86 | 1.3849 | 0.4857 | 1.3849 | 1.1768 |
| No log | 1.8723 | 88 | 1.4608 | 0.4317 | 1.4608 | 1.2087 |
| No log | 1.9149 | 90 | 1.3535 | 0.5 | 1.3535 | 1.1634 |
| No log | 1.9574 | 92 | 1.1132 | 0.5802 | 1.1132 | 1.0551 |
| No log | 2.0 | 94 | 0.9092 | 0.6222 | 0.9092 | 0.9535 |
| No log | 2.0426 | 96 | 0.8818 | 0.6418 | 0.8818 | 0.9390 |
| No log | 2.0851 | 98 | 0.9453 | 0.6015 | 0.9453 | 0.9723 |
| No log | 2.1277 | 100 | 1.2634 | 0.5 | 1.2634 | 1.1240 |
| No log | 2.1702 | 102 | 1.3973 | 0.4507 | 1.3973 | 1.1821 |
| No log | 2.2128 | 104 | 1.5098 | 0.4306 | 1.5098 | 1.2287 |
| No log | 2.2553 | 106 | 1.6026 | 0.3586 | 1.6026 | 1.2659 |
| No log | 2.2979 | 108 | 1.4548 | 0.4255 | 1.4548 | 1.2062 |
| No log | 2.3404 | 110 | 1.2397 | 0.5571 | 1.2397 | 1.1134 |
| No log | 2.3830 | 112 | 1.2531 | 0.5401 | 1.2531 | 1.1194 |
| No log | 2.4255 | 114 | 1.2921 | 0.5441 | 1.2921 | 1.1367 |
| No log | 2.4681 | 116 | 1.3070 | 0.5606 | 1.3070 | 1.1432 |
| No log | 2.5106 | 118 | 1.1154 | 0.5736 | 1.1154 | 1.0561 |
| No log | 2.5532 | 120 | 0.9289 | 0.5806 | 0.9289 | 0.9638 |
| No log | 2.5957 | 122 | 0.8536 | 0.6716 | 0.8536 | 0.9239 |
| No log | 2.6383 | 124 | 0.7875 | 0.7234 | 0.7875 | 0.8874 |
| No log | 2.6809 | 126 | 0.7671 | 0.6620 | 0.7671 | 0.8758 |
| No log | 2.7234 | 128 | 1.0194 | 0.5865 | 1.0194 | 1.0097 |
| No log | 2.7660 | 130 | 1.3404 | 0.4113 | 1.3404 | 1.1578 |
| No log | 2.8085 | 132 | 1.2924 | 0.4366 | 1.2924 | 1.1368 |
| No log | 2.8511 | 134 | 1.1457 | 0.5630 | 1.1457 | 1.0704 |
| No log | 2.8936 | 136 | 1.1021 | 0.5672 | 1.1021 | 1.0498 |
| No log | 2.9362 | 138 | 1.0498 | 0.5672 | 1.0498 | 1.0246 |
| No log | 2.9787 | 140 | 1.1310 | 0.5588 | 1.1310 | 1.0635 |
| No log | 3.0213 | 142 | 1.1998 | 0.5294 | 1.1998 | 1.0954 |
| No log | 3.0638 | 144 | 1.2836 | 0.4928 | 1.2836 | 1.1329 |
| No log | 3.1064 | 146 | 1.4836 | 0.4255 | 1.4836 | 1.2180 |
| No log | 3.1489 | 148 | 1.4921 | 0.4255 | 1.4921 | 1.2215 |
| No log | 3.1915 | 150 | 1.2162 | 0.5672 | 1.2162 | 1.1028 |
| No log | 3.2340 | 152 | 1.1424 | 0.5672 | 1.1424 | 1.0688 |
| No log | 3.2766 | 154 | 1.0570 | 0.5606 | 1.0570 | 1.0281 |
| No log | 3.3191 | 156 | 1.0415 | 0.5469 | 1.0415 | 1.0205 |
| No log | 3.3617 | 158 | 0.9517 | 0.6316 | 0.9517 | 0.9755 |
| No log | 3.4043 | 160 | 0.8334 | 0.6377 | 0.8334 | 0.9129 |
| No log | 3.4468 | 162 | 0.7979 | 0.6621 | 0.7979 | 0.8933 |
| No log | 3.4894 | 164 | 1.0488 | 0.5882 | 1.0488 | 1.0241 |
| No log | 3.5319 | 166 | 1.3457 | 0.4604 | 1.3457 | 1.1600 |
| No log | 3.5745 | 168 | 1.2259 | 0.5481 | 1.2259 | 1.1072 |
| No log | 3.6170 | 170 | 0.9567 | 0.6197 | 0.9567 | 0.9781 |
| No log | 3.6596 | 172 | 0.7544 | 0.6755 | 0.7544 | 0.8685 |
| No log | 3.7021 | 174 | 0.7634 | 0.6980 | 0.7634 | 0.8737 |
| No log | 3.7447 | 176 | 0.8659 | 0.6277 | 0.8659 | 0.9305 |
| No log | 3.7872 | 178 | 1.0997 | 0.5606 | 1.0997 | 1.0487 |
| No log | 3.8298 | 180 | 1.1870 | 0.5606 | 1.1870 | 1.0895 |
| No log | 3.8723 | 182 | 1.1351 | 0.5606 | 1.1351 | 1.0654 |
| No log | 3.9149 | 184 | 0.9954 | 0.5985 | 0.9954 | 0.9977 |
| No log | 3.9574 | 186 | 0.9431 | 0.6187 | 0.9431 | 0.9711 |
| No log | 4.0 | 188 | 0.8398 | 0.6241 | 0.8398 | 0.9164 |
| No log | 4.0426 | 190 | 0.8679 | 0.6241 | 0.8679 | 0.9316 |
| No log | 4.0851 | 192 | 0.9786 | 0.6187 | 0.9786 | 0.9892 |
| No log | 4.1277 | 194 | 1.0609 | 0.5612 | 1.0609 | 1.0300 |
| No log | 4.1702 | 196 | 0.9298 | 0.6056 | 0.9298 | 0.9643 |
| No log | 4.2128 | 198 | 0.8053 | 0.6944 | 0.8053 | 0.8974 |
| No log | 4.2553 | 200 | 0.8005 | 0.6944 | 0.8005 | 0.8947 |
| No log | 4.2979 | 202 | 0.9158 | 0.6197 | 0.9158 | 0.9570 |
| No log | 4.3404 | 204 | 0.8015 | 0.6763 | 0.8015 | 0.8953 |
| No log | 4.3830 | 206 | 0.7647 | 0.7042 | 0.7647 | 0.8745 |
| No log | 4.4255 | 208 | 0.7856 | 0.7050 | 0.7856 | 0.8863 |
| No log | 4.4681 | 210 | 0.8093 | 0.6765 | 0.8093 | 0.8996 |
| No log | 4.5106 | 212 | 0.8084 | 0.6957 | 0.8084 | 0.8991 |
| No log | 4.5532 | 214 | 0.8924 | 0.6519 | 0.8924 | 0.9447 |
| No log | 4.5957 | 216 | 0.8334 | 0.6763 | 0.8334 | 0.9129 |
| No log | 4.6383 | 218 | 0.7167 | 0.7260 | 0.7167 | 0.8466 |
| No log | 4.6809 | 220 | 0.6847 | 0.7682 | 0.6847 | 0.8275 |
| No log | 4.7234 | 222 | 0.7397 | 0.6944 | 0.7397 | 0.8601 |
| No log | 4.7660 | 224 | 0.9362 | 0.6043 | 0.9362 | 0.9676 |
| No log | 4.8085 | 226 | 1.1693 | 0.5468 | 1.1693 | 1.0813 |
| No log | 4.8511 | 228 | 1.1678 | 0.5468 | 1.1678 | 1.0807 |
| No log | 4.8936 | 230 | 1.1204 | 0.5839 | 1.1204 | 1.0585 |
| No log | 4.9362 | 232 | 0.9331 | 0.6143 | 0.9331 | 0.9660 |
| No log | 4.9787 | 234 | 0.8416 | 0.6757 | 0.8416 | 0.9174 |
| No log | 5.0213 | 236 | 0.8266 | 0.6980 | 0.8266 | 0.9092 |
| No log | 5.0638 | 238 | 0.9170 | 0.6528 | 0.9170 | 0.9576 |
| No log | 5.1064 | 240 | 0.9888 | 0.6 | 0.9888 | 0.9944 |
| No log | 5.1489 | 242 | 0.8756 | 0.6536 | 0.8756 | 0.9357 |
| No log | 5.1915 | 244 | 0.6809 | 0.7368 | 0.6809 | 0.8252 |
| No log | 5.2340 | 246 | 0.6618 | 0.7260 | 0.6618 | 0.8135 |
| No log | 5.2766 | 248 | 0.6484 | 0.7075 | 0.6484 | 0.8053 |
| No log | 5.3191 | 250 | 0.6700 | 0.7333 | 0.6700 | 0.8185 |
| No log | 5.3617 | 252 | 0.7221 | 0.7383 | 0.7221 | 0.8498 |
| No log | 5.4043 | 254 | 0.7687 | 0.7383 | 0.7687 | 0.8768 |
| No log | 5.4468 | 256 | 0.7415 | 0.7383 | 0.7415 | 0.8611 |
| No log | 5.4894 | 258 | 0.6436 | 0.7692 | 0.6436 | 0.8022 |
| No log | 5.5319 | 260 | 0.6131 | 0.7771 | 0.6131 | 0.7830 |
| No log | 5.5745 | 262 | 0.6834 | 0.7516 | 0.6834 | 0.8267 |
| No log | 5.6170 | 264 | 0.8453 | 0.7375 | 0.8453 | 0.9194 |
| No log | 5.6596 | 266 | 1.1770 | 0.6026 | 1.1770 | 1.0849 |
| No log | 5.7021 | 268 | 1.3406 | 0.5166 | 1.3406 | 1.1578 |
| No log | 5.7447 | 270 | 1.2218 | 0.5522 | 1.2218 | 1.1054 |
| No log | 5.7872 | 272 | 0.9811 | 0.6571 | 0.9811 | 0.9905 |
| No log | 5.8298 | 274 | 0.8178 | 0.7034 | 0.8178 | 0.9043 |
| No log | 5.8723 | 276 | 0.8138 | 0.7114 | 0.8138 | 0.9021 |
| No log | 5.9149 | 278 | 0.7791 | 0.72 | 0.7791 | 0.8826 |
| No log | 5.9574 | 280 | 0.7396 | 0.7843 | 0.7396 | 0.8600 |
| No log | 6.0 | 282 | 0.8398 | 0.7034 | 0.8398 | 0.9164 |
| No log | 6.0426 | 284 | 1.1451 | 0.5612 | 1.1451 | 1.0701 |
| No log | 6.0851 | 286 | 1.3022 | 0.5235 | 1.3022 | 1.1411 |
| No log | 6.1277 | 288 | 1.1860 | 0.5987 | 1.1860 | 1.0891 |
| No log | 6.1702 | 290 | 0.9689 | 0.6538 | 0.9689 | 0.9843 |
| No log | 6.2128 | 292 | 0.8472 | 0.6621 | 0.8472 | 0.9204 |
| No log | 6.2553 | 294 | 0.7959 | 0.6573 | 0.7959 | 0.8921 |
| No log | 6.2979 | 296 | 0.7290 | 0.7568 | 0.7290 | 0.8538 |
| No log | 6.3404 | 298 | 0.7327 | 0.7483 | 0.7327 | 0.8560 |
| No log | 6.3830 | 300 | 0.7478 | 0.7273 | 0.7478 | 0.8648 |
| No log | 6.4255 | 302 | 0.7094 | 0.7273 | 0.7094 | 0.8422 |
| No log | 6.4681 | 304 | 0.6497 | 0.7755 | 0.6497 | 0.8061 |
| No log | 6.5106 | 306 | 0.6247 | 0.7651 | 0.6247 | 0.7904 |
| No log | 6.5532 | 308 | 0.6409 | 0.7403 | 0.6409 | 0.8006 |
| No log | 6.5957 | 310 | 0.5998 | 0.7516 | 0.5998 | 0.7744 |
| No log | 6.6383 | 312 | 0.5408 | 0.7975 | 0.5408 | 0.7354 |
| No log | 6.6809 | 314 | 0.5715 | 0.8025 | 0.5715 | 0.7560 |
| No log | 6.7234 | 316 | 0.6765 | 0.72 | 0.6765 | 0.8225 |
| No log | 6.7660 | 318 | 0.7767 | 0.6901 | 0.7767 | 0.8813 |
| No log | 6.8085 | 320 | 0.7329 | 0.6906 | 0.7329 | 0.8561 |
| No log | 6.8511 | 322 | 0.7082 | 0.7042 | 0.7082 | 0.8415 |
| No log | 6.8936 | 324 | 0.7283 | 0.7042 | 0.7283 | 0.8534 |
| No log | 6.9362 | 326 | 0.6625 | 0.7483 | 0.6625 | 0.8139 |
| No log | 6.9787 | 328 | 0.6029 | 0.76 | 0.6029 | 0.7764 |
| No log | 7.0213 | 330 | 0.5855 | 0.7564 | 0.5855 | 0.7652 |
| No log | 7.0638 | 332 | 0.5501 | 0.7758 | 0.5501 | 0.7417 |
| No log | 7.1064 | 334 | 0.6354 | 0.7308 | 0.6354 | 0.7971 |
| No log | 7.1489 | 336 | 0.7769 | 0.6939 | 0.7769 | 0.8814 |
| No log | 7.1915 | 338 | 0.7405 | 0.6939 | 0.7405 | 0.8605 |
| No log | 7.2340 | 340 | 0.7116 | 0.7027 | 0.7116 | 0.8436 |
| No log | 7.2766 | 342 | 0.6685 | 0.6939 | 0.6685 | 0.8176 |
| No log | 7.3191 | 344 | 0.7271 | 0.6897 | 0.7271 | 0.8527 |
| No log | 7.3617 | 346 | 0.8351 | 0.6277 | 0.8351 | 0.9139 |
| No log | 7.4043 | 348 | 0.9277 | 0.6143 | 0.9277 | 0.9632 |
| No log | 7.4468 | 350 | 0.9925 | 0.5942 | 0.9925 | 0.9963 |
| No log | 7.4894 | 352 | 1.0253 | 0.6015 | 1.0253 | 1.0126 |
| No log | 7.5319 | 354 | 0.9834 | 0.6370 | 0.9834 | 0.9917 |
| No log | 7.5745 | 356 | 0.9139 | 0.6571 | 0.9139 | 0.9560 |
| No log | 7.6170 | 358 | 0.9031 | 0.6897 | 0.9031 | 0.9503 |
| No log | 7.6596 | 360 | 0.8261 | 0.7123 | 0.8261 | 0.9089 |
| No log | 7.7021 | 362 | 0.8526 | 0.6800 | 0.8526 | 0.9233 |
| No log | 7.7447 | 364 | 0.8906 | 0.6711 | 0.8906 | 0.9437 |
| No log | 7.7872 | 366 | 0.8954 | 0.6575 | 0.8954 | 0.9462 |
| No log | 7.8298 | 368 | 0.9488 | 0.6286 | 0.9488 | 0.9741 |
| No log | 7.8723 | 370 | 0.9421 | 0.6316 | 0.9421 | 0.9706 |
| No log | 7.9149 | 372 | 0.9253 | 0.6131 | 0.9253 | 0.9619 |
| No log | 7.9574 | 374 | 0.8532 | 0.6434 | 0.8532 | 0.9237 |
| No log | 8.0 | 376 | 0.7708 | 0.7114 | 0.7708 | 0.8780 |
| No log | 8.0426 | 378 | 0.7225 | 0.7532 | 0.7225 | 0.8500 |
| No log | 8.0851 | 380 | 0.6414 | 0.75 | 0.6414 | 0.8009 |
| No log | 8.1277 | 382 | 0.6642 | 0.7582 | 0.6642 | 0.8150 |
| No log | 8.1702 | 384 | 0.7912 | 0.6667 | 0.7912 | 0.8895 |
| No log | 8.2128 | 386 | 0.8338 | 0.6761 | 0.8338 | 0.9131 |
| No log | 8.2553 | 388 | 0.8080 | 0.7172 | 0.8080 | 0.8989 |
| No log | 8.2979 | 390 | 0.7933 | 0.7211 | 0.7933 | 0.8907 |
| No log | 8.3404 | 392 | 0.8090 | 0.6939 | 0.8090 | 0.8995 |
| No log | 8.3830 | 394 | 0.9274 | 0.6800 | 0.9274 | 0.9630 |
| No log | 8.4255 | 396 | 0.9392 | 0.64 | 0.9392 | 0.9691 |
| No log | 8.4681 | 398 | 0.9382 | 0.6069 | 0.9382 | 0.9686 |
| No log | 8.5106 | 400 | 0.8847 | 0.6324 | 0.8847 | 0.9406 |
| No log | 8.5532 | 402 | 0.9644 | 0.6176 | 0.9644 | 0.9820 |
| No log | 8.5957 | 404 | 1.0821 | 0.5882 | 1.0821 | 1.0403 |
| No log | 8.6383 | 406 | 1.1504 | 0.5578 | 1.1504 | 1.0726 |
| No log | 8.6809 | 408 | 1.0441 | 0.5816 | 1.0441 | 1.0218 |
| No log | 8.7234 | 410 | 1.0351 | 0.5816 | 1.0351 | 1.0174 |
| No log | 8.7660 | 412 | 1.1376 | 0.5493 | 1.1376 | 1.0666 |
| No log | 8.8085 | 414 | 1.1298 | 0.5532 | 1.1298 | 1.0629 |
| No log | 8.8511 | 416 | 1.1312 | 0.5532 | 1.1312 | 1.0636 |
| No log | 8.8936 | 418 | 0.9871 | 0.6423 | 0.9871 | 0.9936 |
| No log | 8.9362 | 420 | 0.8486 | 0.6849 | 0.8486 | 0.9212 |
| No log | 8.9787 | 422 | 0.8020 | 0.6759 | 0.8020 | 0.8956 |
| No log | 9.0213 | 424 | 0.8220 | 0.6324 | 0.8220 | 0.9066 |
| No log | 9.0638 | 426 | 0.9087 | 0.6423 | 0.9087 | 0.9532 |
| No log | 9.1064 | 428 | 1.0355 | 0.5985 | 1.0355 | 1.0176 |
| No log | 9.1489 | 430 | 1.0430 | 0.6164 | 1.0430 | 1.0213 |
| No log | 9.1915 | 432 | 0.9412 | 0.6711 | 0.9412 | 0.9702 |
| No log | 9.2340 | 434 | 0.8364 | 0.6803 | 0.8364 | 0.9146 |
| No log | 9.2766 | 436 | 0.8024 | 0.6803 | 0.8024 | 0.8958 |
| No log | 9.3191 | 438 | 0.8528 | 0.6803 | 0.8528 | 0.9235 |
| No log | 9.3617 | 440 | 0.9374 | 0.6621 | 0.9374 | 0.9682 |
| No log | 9.4043 | 442 | 0.9411 | 0.6069 | 0.9411 | 0.9701 |
| No log | 9.4468 | 444 | 0.9137 | 0.6043 | 0.9137 | 0.9559 |
| No log | 9.4894 | 446 | 0.7946 | 0.6713 | 0.7946 | 0.8914 |
| No log | 9.5319 | 448 | 0.7333 | 0.7285 | 0.7333 | 0.8563 |
| No log | 9.5745 | 450 | 0.8270 | 0.7011 | 0.8270 | 0.9094 |
| No log | 9.6170 | 452 | 0.8243 | 0.75 | 0.8243 | 0.9079 |
| No log | 9.6596 | 454 | 0.7771 | 0.75 | 0.7771 | 0.8815 |
| No log | 9.7021 | 456 | 0.8373 | 0.7030 | 0.8373 | 0.9150 |
| No log | 9.7447 | 458 | 0.9117 | 0.6294 | 0.9117 | 0.9548 |
| No log | 9.7872 | 460 | 0.9241 | 0.6475 | 0.9241 | 0.9613 |
| No log | 9.8298 | 462 | 0.9043 | 0.6475 | 0.9043 | 0.9509 |
| No log | 9.8723 | 464 | 0.9271 | 0.6475 | 0.9271 | 0.9628 |
| No log | 9.9149 | 466 | 0.8695 | 0.6475 | 0.8695 | 0.9325 |
| No log | 9.9574 | 468 | 0.8186 | 0.6377 | 0.8186 | 0.9048 |
| No log | 10.0 | 470 | 0.7622 | 0.6763 | 0.7622 | 0.8731 |
| No log | 10.0426 | 472 | 0.7283 | 0.6809 | 0.7283 | 0.8534 |
| No log | 10.0851 | 474 | 0.6714 | 0.7347 | 0.6714 | 0.8194 |
| No log | 10.1277 | 476 | 0.6771 | 0.7347 | 0.6771 | 0.8229 |
| No log | 10.1702 | 478 | 0.6345 | 0.7682 | 0.6345 | 0.7965 |
| No log | 10.2128 | 480 | 0.6311 | 0.7785 | 0.6311 | 0.7944 |
| No log | 10.2553 | 482 | 0.6395 | 0.7815 | 0.6395 | 0.7997 |
| No log | 10.2979 | 484 | 0.6584 | 0.7733 | 0.6584 | 0.8114 |
| No log | 10.3404 | 486 | 0.6645 | 0.7682 | 0.6645 | 0.8151 |
| No log | 10.3830 | 488 | 0.6610 | 0.7682 | 0.6610 | 0.8130 |
| No log | 10.4255 | 490 | 0.6654 | 0.7671 | 0.6654 | 0.8157 |
| No log | 10.4681 | 492 | 0.6938 | 0.7413 | 0.6938 | 0.8329 |
| No log | 10.5106 | 494 | 0.7257 | 0.7101 | 0.7257 | 0.8519 |
| No log | 10.5532 | 496 | 0.7880 | 0.7050 | 0.7880 | 0.8877 |
| No log | 10.5957 | 498 | 0.8245 | 0.6857 | 0.8245 | 0.9080 |
| 0.4397 | 10.6383 | 500 | 0.8099 | 0.6993 | 0.8099 | 0.9000 |
| 0.4397 | 10.6809 | 502 | 0.8239 | 0.7013 | 0.8239 | 0.9077 |
| 0.4397 | 10.7234 | 504 | 0.7769 | 0.6933 | 0.7769 | 0.8814 |
| 0.4397 | 10.7660 | 506 | 0.7221 | 0.7183 | 0.7221 | 0.8498 |
| 0.4397 | 10.8085 | 508 | 0.7440 | 0.7015 | 0.7440 | 0.8626 |
| 0.4397 | 10.8511 | 510 | 0.8094 | 0.7101 | 0.8094 | 0.8997 |
| 0.4397 | 10.8936 | 512 | 0.8488 | 0.6667 | 0.8488 | 0.9213 |
| 0.4397 | 10.9362 | 514 | 0.8258 | 0.6769 | 0.8258 | 0.9087 |
| 0.4397 | 10.9787 | 516 | 0.8242 | 0.6357 | 0.8242 | 0.9079 |
| 0.4397 | 11.0213 | 518 | 0.7619 | 0.7111 | 0.7619 | 0.8729 |
| 0.4397 | 11.0638 | 520 | 0.7293 | 0.7518 | 0.7293 | 0.8540 |
| 0.4397 | 11.1064 | 522 | 0.8498 | 0.6713 | 0.8498 | 0.9219 |
| 0.4397 | 11.1489 | 524 | 1.0602 | 0.6027 | 1.0602 | 1.0297 |
| 0.4397 | 11.1915 | 526 | 1.2395 | 0.5493 | 1.2395 | 1.1133 |
| 0.4397 | 11.2340 | 528 | 1.1530 | 0.5674 | 1.1530 | 1.0738 |
| 0.4397 | 11.2766 | 530 | 0.9463 | 0.6423 | 0.9463 | 0.9728 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.0+cu118
- Datasets 2.21.0
- Tokenizers 0.19.1
- Downloads last month
- 3
Model tree for MayBashendy/ArabicNewSplits7_FineTuningAraBERT_run2_AugV5_k10_task1_organization
Base model
aubmindlab/bert-base-arabertv02