Instructions to use MayBashendy/ArabicNewSplits7_FineTuningAraBERT_run3_AugV5_k18_task1_organization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MayBashendy/ArabicNewSplits7_FineTuningAraBERT_run3_AugV5_k18_task1_organization with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="MayBashendy/ArabicNewSplits7_FineTuningAraBERT_run3_AugV5_k18_task1_organization")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("MayBashendy/ArabicNewSplits7_FineTuningAraBERT_run3_AugV5_k18_task1_organization") model = AutoModelForSequenceClassification.from_pretrained("MayBashendy/ArabicNewSplits7_FineTuningAraBERT_run3_AugV5_k18_task1_organization", device_map="auto") - Notebooks
- Google Colab
- Kaggle
ArabicNewSplits7_FineTuningAraBERT_run3_AugV5_k18_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: 0.8114
- Qwk: 0.7206
- Mse: 0.8114
- Rmse: 0.9008
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 | 0.0244 | 2 | 6.5996 | 0.0188 | 6.5996 | 2.5690 |
| No log | 0.0488 | 4 | 4.4957 | 0.0706 | 4.4957 | 2.1203 |
| No log | 0.0732 | 6 | 3.0814 | 0.0988 | 3.0814 | 1.7554 |
| No log | 0.0976 | 8 | 2.2546 | 0.0839 | 2.2546 | 1.5015 |
| No log | 0.1220 | 10 | 1.8316 | 0.1468 | 1.8316 | 1.3534 |
| No log | 0.1463 | 12 | 1.6905 | 0.1509 | 1.6905 | 1.3002 |
| No log | 0.1707 | 14 | 1.6853 | 0.1308 | 1.6853 | 1.2982 |
| No log | 0.1951 | 16 | 2.1503 | 0.1120 | 2.1503 | 1.4664 |
| No log | 0.2195 | 18 | 2.1950 | 0.1270 | 2.1950 | 1.4815 |
| No log | 0.2439 | 20 | 2.3348 | 0.0889 | 2.3348 | 1.5280 |
| No log | 0.2683 | 22 | 2.0093 | 0.1667 | 2.0093 | 1.4175 |
| No log | 0.2927 | 24 | 1.8265 | 0.1852 | 1.8265 | 1.3515 |
| No log | 0.3171 | 26 | 1.9878 | 0.3279 | 1.9878 | 1.4099 |
| No log | 0.3415 | 28 | 2.2840 | 0.0411 | 2.2840 | 1.5113 |
| No log | 0.3659 | 30 | 2.3927 | 0.0 | 2.3927 | 1.5468 |
| No log | 0.3902 | 32 | 2.4583 | -0.0268 | 2.4583 | 1.5679 |
| No log | 0.4146 | 34 | 2.3148 | -0.0268 | 2.3148 | 1.5215 |
| No log | 0.4390 | 36 | 2.0683 | 0.2406 | 2.0683 | 1.4382 |
| No log | 0.4634 | 38 | 1.6843 | 0.3304 | 1.6843 | 1.2978 |
| No log | 0.4878 | 40 | 1.5162 | 0.2832 | 1.5162 | 1.2313 |
| No log | 0.5122 | 42 | 1.5081 | 0.2342 | 1.5081 | 1.2281 |
| No log | 0.5366 | 44 | 1.6111 | 0.3051 | 1.6111 | 1.2693 |
| No log | 0.5610 | 46 | 1.8446 | 0.2540 | 1.8446 | 1.3581 |
| No log | 0.5854 | 48 | 2.2406 | 0.0432 | 2.2406 | 1.4969 |
| No log | 0.6098 | 50 | 2.8998 | 0.0610 | 2.8998 | 1.7029 |
| No log | 0.6341 | 52 | 2.7459 | 0.0519 | 2.7459 | 1.6571 |
| No log | 0.6585 | 54 | 1.8937 | 0.3361 | 1.8937 | 1.3761 |
| No log | 0.6829 | 56 | 1.5468 | 0.2385 | 1.5468 | 1.2437 |
| No log | 0.7073 | 58 | 1.4710 | 0.2243 | 1.4710 | 1.2128 |
| No log | 0.7317 | 60 | 1.3753 | 0.2075 | 1.3753 | 1.1727 |
| No log | 0.7561 | 62 | 1.3047 | 0.2075 | 1.3047 | 1.1422 |
| No log | 0.7805 | 64 | 1.2077 | 0.3604 | 1.2077 | 1.0989 |
| No log | 0.8049 | 66 | 1.2330 | 0.3697 | 1.2330 | 1.1104 |
| No log | 0.8293 | 68 | 1.6340 | 0.3692 | 1.6340 | 1.2783 |
| No log | 0.8537 | 70 | 1.9616 | 0.3077 | 1.9616 | 1.4006 |
| No log | 0.8780 | 72 | 1.4075 | 0.4444 | 1.4075 | 1.1864 |
| No log | 0.9024 | 74 | 0.9702 | 0.56 | 0.9702 | 0.9850 |
| No log | 0.9268 | 76 | 1.0817 | 0.6462 | 1.0817 | 1.0401 |
| No log | 0.9512 | 78 | 1.1270 | 0.5846 | 1.1270 | 1.0616 |
| No log | 0.9756 | 80 | 1.1442 | 0.5085 | 1.1442 | 1.0697 |
| No log | 1.0 | 82 | 1.2347 | 0.4874 | 1.2347 | 1.1112 |
| No log | 1.0244 | 84 | 1.2849 | 0.4615 | 1.2849 | 1.1335 |
| No log | 1.0488 | 86 | 1.2780 | 0.5210 | 1.2780 | 1.1305 |
| No log | 1.0732 | 88 | 1.2587 | 0.4500 | 1.2587 | 1.1219 |
| No log | 1.0976 | 90 | 1.1841 | 0.4793 | 1.1841 | 1.0881 |
| No log | 1.1220 | 92 | 1.1375 | 0.4762 | 1.1375 | 1.0665 |
| No log | 1.1463 | 94 | 1.1613 | 0.5426 | 1.1613 | 1.0777 |
| No log | 1.1707 | 96 | 1.0064 | 0.56 | 1.0064 | 1.0032 |
| No log | 1.1951 | 98 | 1.0644 | 0.5691 | 1.0644 | 1.0317 |
| No log | 1.2195 | 100 | 1.2556 | 0.4370 | 1.2556 | 1.1205 |
| No log | 1.2439 | 102 | 1.2882 | 0.4370 | 1.2882 | 1.1350 |
| No log | 1.2683 | 104 | 1.0236 | 0.6202 | 1.0236 | 1.0117 |
| No log | 1.2927 | 106 | 0.9580 | 0.5736 | 0.9580 | 0.9788 |
| No log | 1.3171 | 108 | 0.9278 | 0.5781 | 0.9278 | 0.9632 |
| No log | 1.3415 | 110 | 0.9251 | 0.6364 | 0.9251 | 0.9618 |
| No log | 1.3659 | 112 | 1.2179 | 0.4889 | 1.2179 | 1.1036 |
| No log | 1.3902 | 114 | 1.5604 | 0.3881 | 1.5604 | 1.2491 |
| No log | 1.4146 | 116 | 1.3866 | 0.4593 | 1.3866 | 1.1775 |
| No log | 1.4390 | 118 | 0.9320 | 0.6383 | 0.9320 | 0.9654 |
| No log | 1.4634 | 120 | 0.8475 | 0.6573 | 0.8475 | 0.9206 |
| No log | 1.4878 | 122 | 0.9103 | 0.6383 | 0.9103 | 0.9541 |
| No log | 1.5122 | 124 | 1.1632 | 0.5109 | 1.1632 | 1.0785 |
| No log | 1.5366 | 126 | 1.3177 | 0.4478 | 1.3177 | 1.1479 |
| No log | 1.5610 | 128 | 1.0816 | 0.5672 | 1.0816 | 1.0400 |
| No log | 1.5854 | 130 | 0.9050 | 0.6667 | 0.9050 | 0.9513 |
| No log | 1.6098 | 132 | 0.8487 | 0.6957 | 0.8487 | 0.9213 |
| No log | 1.6341 | 134 | 0.8706 | 0.6667 | 0.8706 | 0.9331 |
| No log | 1.6585 | 136 | 1.0129 | 0.6212 | 1.0129 | 1.0064 |
| No log | 1.6829 | 138 | 0.9289 | 0.6212 | 0.9289 | 0.9638 |
| No log | 1.7073 | 140 | 0.8697 | 0.6466 | 0.8697 | 0.9326 |
| No log | 1.7317 | 142 | 0.7713 | 0.75 | 0.7713 | 0.8782 |
| No log | 1.7561 | 144 | 0.7178 | 0.7448 | 0.7178 | 0.8472 |
| No log | 1.7805 | 146 | 0.7122 | 0.75 | 0.7122 | 0.8439 |
| No log | 1.8049 | 148 | 0.7185 | 0.7724 | 0.7185 | 0.8476 |
| No log | 1.8293 | 150 | 0.7205 | 0.7413 | 0.7205 | 0.8488 |
| No log | 1.8537 | 152 | 0.7008 | 0.75 | 0.7008 | 0.8371 |
| No log | 1.8780 | 154 | 0.6917 | 0.7586 | 0.6917 | 0.8317 |
| No log | 1.9024 | 156 | 0.6848 | 0.7586 | 0.6848 | 0.8275 |
| No log | 1.9268 | 158 | 0.7396 | 0.7361 | 0.7396 | 0.8600 |
| No log | 1.9512 | 160 | 0.9884 | 0.6232 | 0.9884 | 0.9942 |
| No log | 1.9756 | 162 | 0.9204 | 0.6853 | 0.9204 | 0.9594 |
| No log | 2.0 | 164 | 0.6924 | 0.7568 | 0.6924 | 0.8321 |
| No log | 2.0244 | 166 | 0.7011 | 0.7397 | 0.7011 | 0.8373 |
| No log | 2.0488 | 168 | 0.8340 | 0.7483 | 0.8340 | 0.9132 |
| No log | 2.0732 | 170 | 0.9137 | 0.7361 | 0.9137 | 0.9559 |
| No log | 2.0976 | 172 | 0.7783 | 0.7586 | 0.7783 | 0.8822 |
| No log | 2.1220 | 174 | 0.7964 | 0.7260 | 0.7964 | 0.8924 |
| No log | 2.1463 | 176 | 0.7854 | 0.7260 | 0.7854 | 0.8862 |
| No log | 2.1707 | 178 | 0.8310 | 0.7273 | 0.8310 | 0.9116 |
| No log | 2.1951 | 180 | 0.8888 | 0.6277 | 0.8888 | 0.9428 |
| No log | 2.2195 | 182 | 0.8477 | 0.6187 | 0.8477 | 0.9207 |
| No log | 2.2439 | 184 | 0.7963 | 0.6525 | 0.7963 | 0.8924 |
| No log | 2.2683 | 186 | 0.6518 | 0.8 | 0.6518 | 0.8073 |
| No log | 2.2927 | 188 | 0.6423 | 0.7682 | 0.6423 | 0.8014 |
| No log | 2.3171 | 190 | 0.5808 | 0.7974 | 0.5808 | 0.7621 |
| No log | 2.3415 | 192 | 0.7212 | 0.7417 | 0.7212 | 0.8492 |
| No log | 2.3659 | 194 | 1.4479 | 0.4741 | 1.4479 | 1.2033 |
| No log | 2.3902 | 196 | 1.9541 | 0.1692 | 1.9541 | 1.3979 |
| No log | 2.4146 | 198 | 1.7219 | 0.2540 | 1.7219 | 1.3122 |
| No log | 2.4390 | 200 | 1.1059 | 0.5333 | 1.1059 | 1.0516 |
| No log | 2.4634 | 202 | 0.7910 | 0.7517 | 0.7910 | 0.8894 |
| No log | 2.4878 | 204 | 0.7641 | 0.7448 | 0.7641 | 0.8741 |
| No log | 2.5122 | 206 | 0.7878 | 0.6861 | 0.7878 | 0.8876 |
| No log | 2.5366 | 208 | 0.8033 | 0.6618 | 0.8033 | 0.8963 |
| No log | 2.5610 | 210 | 0.8216 | 0.7059 | 0.8216 | 0.9064 |
| No log | 2.5854 | 212 | 0.9138 | 0.5926 | 0.9138 | 0.9559 |
| No log | 2.6098 | 214 | 0.9574 | 0.5942 | 0.9574 | 0.9784 |
| No log | 2.6341 | 216 | 0.8541 | 0.6667 | 0.8541 | 0.9242 |
| No log | 2.6585 | 218 | 0.7569 | 0.6667 | 0.7569 | 0.8700 |
| No log | 2.6829 | 220 | 0.7308 | 0.6667 | 0.7308 | 0.8549 |
| No log | 2.7073 | 222 | 0.7045 | 0.7190 | 0.7045 | 0.8394 |
| No log | 2.7317 | 224 | 0.7209 | 0.6897 | 0.7209 | 0.8490 |
| No log | 2.7561 | 226 | 0.6939 | 0.7083 | 0.6939 | 0.8330 |
| No log | 2.7805 | 228 | 0.8046 | 0.6620 | 0.8046 | 0.8970 |
| No log | 2.8049 | 230 | 0.8398 | 0.6338 | 0.8398 | 0.9164 |
| No log | 2.8293 | 232 | 0.8760 | 0.5985 | 0.8760 | 0.9359 |
| No log | 2.8537 | 234 | 0.8618 | 0.6029 | 0.8618 | 0.9283 |
| No log | 2.8780 | 236 | 0.7672 | 0.7234 | 0.7672 | 0.8759 |
| No log | 2.9024 | 238 | 0.6984 | 0.7465 | 0.6984 | 0.8357 |
| No log | 2.9268 | 240 | 0.7199 | 0.7222 | 0.7199 | 0.8485 |
| No log | 2.9512 | 242 | 0.6817 | 0.7483 | 0.6817 | 0.8256 |
| No log | 2.9756 | 244 | 0.7322 | 0.7260 | 0.7322 | 0.8557 |
| No log | 3.0 | 246 | 0.7292 | 0.7397 | 0.7292 | 0.8539 |
| No log | 3.0244 | 248 | 0.6961 | 0.7310 | 0.6961 | 0.8343 |
| No log | 3.0488 | 250 | 0.7339 | 0.7 | 0.7339 | 0.8567 |
| No log | 3.0732 | 252 | 0.7272 | 0.7273 | 0.7272 | 0.8528 |
| No log | 3.0976 | 254 | 0.6915 | 0.7310 | 0.6915 | 0.8316 |
| No log | 3.1220 | 256 | 0.6960 | 0.7273 | 0.6960 | 0.8343 |
| No log | 3.1463 | 258 | 0.7777 | 0.7075 | 0.7777 | 0.8819 |
| No log | 3.1707 | 260 | 0.6988 | 0.7133 | 0.6988 | 0.8359 |
| No log | 3.1951 | 262 | 0.6132 | 0.7397 | 0.6132 | 0.7831 |
| No log | 3.2195 | 264 | 0.7099 | 0.7211 | 0.7099 | 0.8426 |
| No log | 3.2439 | 266 | 0.9558 | 0.6620 | 0.9558 | 0.9776 |
| No log | 3.2683 | 268 | 1.0899 | 0.6 | 1.0899 | 1.0440 |
| No log | 3.2927 | 270 | 1.0583 | 0.6241 | 1.0583 | 1.0287 |
| No log | 3.3171 | 272 | 0.8394 | 0.6806 | 0.8394 | 0.9162 |
| No log | 3.3415 | 274 | 0.6712 | 0.7552 | 0.6712 | 0.8193 |
| No log | 3.3659 | 276 | 0.6826 | 0.7724 | 0.6826 | 0.8262 |
| No log | 3.3902 | 278 | 0.7835 | 0.7465 | 0.7835 | 0.8851 |
| No log | 3.4146 | 280 | 0.8399 | 0.6812 | 0.8399 | 0.9165 |
| No log | 3.4390 | 282 | 0.7892 | 0.7050 | 0.7892 | 0.8884 |
| No log | 3.4634 | 284 | 0.7139 | 0.7518 | 0.7139 | 0.8449 |
| No log | 3.4878 | 286 | 0.6547 | 0.7465 | 0.6547 | 0.8092 |
| No log | 3.5122 | 288 | 0.5704 | 0.7619 | 0.5704 | 0.7552 |
| No log | 3.5366 | 290 | 0.5400 | 0.8026 | 0.5400 | 0.7348 |
| No log | 3.5610 | 292 | 0.6418 | 0.7561 | 0.6418 | 0.8011 |
| No log | 3.5854 | 294 | 1.0138 | 0.6164 | 1.0138 | 1.0069 |
| No log | 3.6098 | 296 | 1.2323 | 0.5401 | 1.2323 | 1.1101 |
| No log | 3.6341 | 298 | 1.0372 | 0.5985 | 1.0372 | 1.0184 |
| No log | 3.6585 | 300 | 0.7001 | 0.6944 | 0.7001 | 0.8367 |
| No log | 3.6829 | 302 | 0.6195 | 0.7867 | 0.6195 | 0.7871 |
| No log | 3.7073 | 304 | 0.6436 | 0.7586 | 0.6436 | 0.8023 |
| No log | 3.7317 | 306 | 0.6598 | 0.7671 | 0.6598 | 0.8123 |
| No log | 3.7561 | 308 | 0.7389 | 0.7183 | 0.7389 | 0.8596 |
| No log | 3.7805 | 310 | 0.8222 | 0.6475 | 0.8222 | 0.9067 |
| No log | 3.8049 | 312 | 0.9677 | 0.6029 | 0.9677 | 0.9837 |
| No log | 3.8293 | 314 | 0.9603 | 0.6277 | 0.9603 | 0.9799 |
| No log | 3.8537 | 316 | 0.7952 | 0.6763 | 0.7952 | 0.8918 |
| No log | 3.8780 | 318 | 0.7061 | 0.6763 | 0.7061 | 0.8403 |
| No log | 3.9024 | 320 | 0.7138 | 0.7050 | 0.7138 | 0.8448 |
| No log | 3.9268 | 322 | 0.7253 | 0.6906 | 0.7253 | 0.8516 |
| No log | 3.9512 | 324 | 0.8401 | 0.6522 | 0.8401 | 0.9166 |
| No log | 3.9756 | 326 | 0.9974 | 0.6377 | 0.9974 | 0.9987 |
| No log | 4.0 | 328 | 1.0443 | 0.5672 | 1.0443 | 1.0219 |
| No log | 4.0244 | 330 | 0.9307 | 0.6423 | 0.9307 | 0.9647 |
| No log | 4.0488 | 332 | 0.7970 | 0.7007 | 0.7970 | 0.8927 |
| No log | 4.0732 | 334 | 0.7829 | 0.6715 | 0.7829 | 0.8848 |
| No log | 4.0976 | 336 | 0.7841 | 0.6950 | 0.7841 | 0.8855 |
| No log | 4.1220 | 338 | 0.7258 | 0.6857 | 0.7258 | 0.8519 |
| No log | 4.1463 | 340 | 0.6843 | 0.7534 | 0.6843 | 0.8272 |
| No log | 4.1707 | 342 | 0.7037 | 0.7172 | 0.7037 | 0.8389 |
| No log | 4.1951 | 344 | 0.6869 | 0.7222 | 0.6869 | 0.8288 |
| No log | 4.2195 | 346 | 0.6648 | 0.6809 | 0.6648 | 0.8153 |
| No log | 4.2439 | 348 | 0.7065 | 0.7 | 0.7065 | 0.8405 |
| No log | 4.2683 | 350 | 0.6821 | 0.7092 | 0.6821 | 0.8259 |
| No log | 4.2927 | 352 | 0.6110 | 0.7075 | 0.6110 | 0.7817 |
| No log | 4.3171 | 354 | 0.6125 | 0.7403 | 0.6125 | 0.7826 |
| No log | 4.3415 | 356 | 0.8857 | 0.7248 | 0.8857 | 0.9411 |
| No log | 4.3659 | 358 | 1.0615 | 0.6575 | 1.0615 | 1.0303 |
| No log | 4.3902 | 360 | 0.9616 | 0.6986 | 0.9616 | 0.9806 |
| No log | 4.4146 | 362 | 0.9988 | 0.6667 | 0.9988 | 0.9994 |
| No log | 4.4390 | 364 | 0.9985 | 0.5985 | 0.9985 | 0.9993 |
| No log | 4.4634 | 366 | 0.9199 | 0.6029 | 0.9199 | 0.9591 |
| No log | 4.4878 | 368 | 0.8544 | 0.6269 | 0.8544 | 0.9244 |
| No log | 4.5122 | 370 | 0.8615 | 0.6466 | 0.8615 | 0.9282 |
| No log | 4.5366 | 372 | 0.9397 | 0.5865 | 0.9397 | 0.9694 |
| No log | 4.5610 | 374 | 0.8977 | 0.6119 | 0.8977 | 0.9475 |
| No log | 4.5854 | 376 | 0.7604 | 0.6765 | 0.7604 | 0.8720 |
| No log | 4.6098 | 378 | 0.6760 | 0.7413 | 0.6760 | 0.8222 |
| No log | 4.6341 | 380 | 0.6738 | 0.7355 | 0.6738 | 0.8208 |
| No log | 4.6585 | 382 | 0.6044 | 0.7901 | 0.6044 | 0.7775 |
| No log | 4.6829 | 384 | 0.5624 | 0.7919 | 0.5624 | 0.7499 |
| No log | 4.7073 | 386 | 0.5917 | 0.7838 | 0.5917 | 0.7692 |
| No log | 4.7317 | 388 | 0.6314 | 0.7534 | 0.6314 | 0.7946 |
| No log | 4.7561 | 390 | 0.6838 | 0.7429 | 0.6838 | 0.8269 |
| No log | 4.7805 | 392 | 0.7223 | 0.7286 | 0.7223 | 0.8499 |
| No log | 4.8049 | 394 | 0.7548 | 0.7338 | 0.7548 | 0.8688 |
| No log | 4.8293 | 396 | 0.7661 | 0.7286 | 0.7661 | 0.8753 |
| No log | 4.8537 | 398 | 0.7430 | 0.7429 | 0.7430 | 0.8620 |
| No log | 4.8780 | 400 | 0.7196 | 0.7429 | 0.7196 | 0.8483 |
| No log | 4.9024 | 402 | 0.7336 | 0.7286 | 0.7336 | 0.8565 |
| No log | 4.9268 | 404 | 0.8450 | 0.6714 | 0.8450 | 0.9193 |
| No log | 4.9512 | 406 | 0.8888 | 0.6377 | 0.8888 | 0.9428 |
| No log | 4.9756 | 408 | 0.8299 | 0.6714 | 0.8299 | 0.9110 |
| No log | 5.0 | 410 | 0.7335 | 0.7143 | 0.7335 | 0.8565 |
| No log | 5.0244 | 412 | 0.7092 | 0.7465 | 0.7092 | 0.8421 |
| No log | 5.0488 | 414 | 0.7091 | 0.7465 | 0.7091 | 0.8421 |
| No log | 5.0732 | 416 | 0.7125 | 0.7397 | 0.7125 | 0.8441 |
| No log | 5.0976 | 418 | 0.7052 | 0.7397 | 0.7052 | 0.8397 |
| No log | 5.1220 | 420 | 0.7209 | 0.7211 | 0.7209 | 0.8490 |
| No log | 5.1463 | 422 | 0.6554 | 0.7733 | 0.6554 | 0.8095 |
| No log | 5.1707 | 424 | 0.6027 | 0.8026 | 0.6027 | 0.7763 |
| No log | 5.1951 | 426 | 0.5624 | 0.8026 | 0.5624 | 0.7499 |
| No log | 5.2195 | 428 | 0.5628 | 0.7532 | 0.5628 | 0.7502 |
| No log | 5.2439 | 430 | 0.5690 | 0.7403 | 0.5690 | 0.7543 |
| No log | 5.2683 | 432 | 0.6213 | 0.7403 | 0.6213 | 0.7882 |
| No log | 5.2927 | 434 | 0.6380 | 0.7403 | 0.6380 | 0.7988 |
| No log | 5.3171 | 436 | 0.6243 | 0.7403 | 0.6243 | 0.7901 |
| No log | 5.3415 | 438 | 0.6110 | 0.7451 | 0.6110 | 0.7817 |
| No log | 5.3659 | 440 | 0.6068 | 0.7451 | 0.6068 | 0.7789 |
| No log | 5.3902 | 442 | 0.6540 | 0.7285 | 0.6540 | 0.8087 |
| No log | 5.4146 | 444 | 0.7061 | 0.7333 | 0.7061 | 0.8403 |
| No log | 5.4390 | 446 | 0.6228 | 0.7516 | 0.6228 | 0.7892 |
| No log | 5.4634 | 448 | 0.5896 | 0.75 | 0.5896 | 0.7678 |
| No log | 5.4878 | 450 | 0.6262 | 0.7389 | 0.6262 | 0.7913 |
| No log | 5.5122 | 452 | 0.7058 | 0.7248 | 0.7058 | 0.8401 |
| No log | 5.5366 | 454 | 0.7303 | 0.7083 | 0.7303 | 0.8545 |
| No log | 5.5610 | 456 | 0.6492 | 0.7347 | 0.6492 | 0.8058 |
| No log | 5.5854 | 458 | 0.6244 | 0.7891 | 0.6244 | 0.7902 |
| No log | 5.6098 | 460 | 0.6001 | 0.7895 | 0.6001 | 0.7746 |
| No log | 5.6341 | 462 | 0.6909 | 0.7248 | 0.6909 | 0.8312 |
| No log | 5.6585 | 464 | 0.8413 | 0.6986 | 0.8413 | 0.9172 |
| No log | 5.6829 | 466 | 0.8668 | 0.6853 | 0.8668 | 0.9310 |
| No log | 5.7073 | 468 | 0.7203 | 0.7368 | 0.7203 | 0.8487 |
| No log | 5.7317 | 470 | 0.6321 | 0.7613 | 0.6321 | 0.7951 |
| No log | 5.7561 | 472 | 0.6516 | 0.7285 | 0.6516 | 0.8072 |
| No log | 5.7805 | 474 | 0.8015 | 0.6667 | 0.8015 | 0.8953 |
| No log | 5.8049 | 476 | 0.8868 | 0.6714 | 0.8868 | 0.9417 |
| No log | 5.8293 | 478 | 0.8508 | 0.6714 | 0.8508 | 0.9224 |
| No log | 5.8537 | 480 | 0.7296 | 0.6993 | 0.7296 | 0.8542 |
| No log | 5.8780 | 482 | 0.6382 | 0.7333 | 0.6382 | 0.7989 |
| No log | 5.9024 | 484 | 0.6416 | 0.7333 | 0.6416 | 0.8010 |
| No log | 5.9268 | 486 | 0.6013 | 0.75 | 0.6013 | 0.7754 |
| No log | 5.9512 | 488 | 0.6036 | 0.7417 | 0.6036 | 0.7769 |
| No log | 5.9756 | 490 | 0.6530 | 0.7333 | 0.6530 | 0.8081 |
| No log | 6.0 | 492 | 0.7371 | 0.7075 | 0.7371 | 0.8585 |
| No log | 6.0244 | 494 | 0.7040 | 0.7162 | 0.7040 | 0.8390 |
| No log | 6.0488 | 496 | 0.6579 | 0.7383 | 0.6579 | 0.8111 |
| No log | 6.0732 | 498 | 0.6483 | 0.7606 | 0.6483 | 0.8052 |
| 0.498 | 6.0976 | 500 | 0.7240 | 0.7361 | 0.7240 | 0.8509 |
| 0.498 | 6.1220 | 502 | 0.6766 | 0.7222 | 0.6766 | 0.8225 |
| 0.498 | 6.1463 | 504 | 0.6207 | 0.7586 | 0.6207 | 0.7878 |
| 0.498 | 6.1707 | 506 | 0.6628 | 0.7297 | 0.6628 | 0.8141 |
| 0.498 | 6.1951 | 508 | 0.7452 | 0.7468 | 0.7452 | 0.8632 |
| 0.498 | 6.2195 | 510 | 0.7937 | 0.7516 | 0.7937 | 0.8909 |
| 0.498 | 6.2439 | 512 | 0.7257 | 0.7333 | 0.7257 | 0.8519 |
| 0.498 | 6.2683 | 514 | 0.6891 | 0.6901 | 0.6891 | 0.8301 |
| 0.498 | 6.2927 | 516 | 0.7295 | 0.7286 | 0.7295 | 0.8541 |
| 0.498 | 6.3171 | 518 | 0.7817 | 0.7246 | 0.7817 | 0.8842 |
| 0.498 | 6.3415 | 520 | 0.8114 | 0.7206 | 0.8114 | 0.9008 |
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/ArabicNewSplits7_FineTuningAraBERT_run3_AugV5_k18_task1_organization
Base model
aubmindlab/bert-base-arabertv02