Instructions to use MayBashendy/ArabicNewSplits7_FineTuningAraBERT_run3_AugV5_k14_task3_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_k14_task3_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_k14_task3_organization")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("MayBashendy/ArabicNewSplits7_FineTuningAraBERT_run3_AugV5_k14_task3_organization") model = AutoModelForSequenceClassification.from_pretrained("MayBashendy/ArabicNewSplits7_FineTuningAraBERT_run3_AugV5_k14_task3_organization", device_map="auto") - Notebooks
- Google Colab
- Kaggle
ArabicNewSplits7_FineTuningAraBERT_run3_AugV5_k14_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: 0.8899
- Qwk: 0.0517
- Mse: 0.8899
- Rmse: 0.9433
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 | 0.0526 | 2 | 3.6263 | 0.0048 | 3.6263 | 1.9043 |
| No log | 0.1053 | 4 | 1.9756 | 0.0704 | 1.9756 | 1.4056 |
| No log | 0.1579 | 6 | 1.2226 | -0.0228 | 1.2226 | 1.1057 |
| No log | 0.2105 | 8 | 1.1342 | -0.0193 | 1.1342 | 1.0650 |
| No log | 0.2632 | 10 | 0.8777 | 0.0404 | 0.8777 | 0.9369 |
| No log | 0.3158 | 12 | 0.7463 | 0.1259 | 0.7463 | 0.8639 |
| No log | 0.3684 | 14 | 0.7839 | 0.0191 | 0.7839 | 0.8854 |
| No log | 0.4211 | 16 | 0.9978 | -0.0720 | 0.9978 | 0.9989 |
| No log | 0.4737 | 18 | 0.9106 | -0.0949 | 0.9106 | 0.9542 |
| No log | 0.5263 | 20 | 0.7883 | -0.0695 | 0.7883 | 0.8879 |
| No log | 0.5789 | 22 | 0.8355 | -0.0408 | 0.8355 | 0.9141 |
| No log | 0.6316 | 24 | 0.8359 | 0.0512 | 0.8359 | 0.9143 |
| No log | 0.6842 | 26 | 0.7455 | -0.0035 | 0.7455 | 0.8634 |
| No log | 0.7368 | 28 | 0.7782 | -0.0215 | 0.7782 | 0.8822 |
| No log | 0.7895 | 30 | 0.8313 | 0.0129 | 0.8313 | 0.9117 |
| No log | 0.8421 | 32 | 0.7324 | 0.0 | 0.7324 | 0.8558 |
| No log | 0.8947 | 34 | 0.7628 | -0.0679 | 0.7628 | 0.8734 |
| No log | 0.9474 | 36 | 0.9798 | -0.1277 | 0.9798 | 0.9899 |
| No log | 1.0 | 38 | 1.5331 | -0.0766 | 1.5331 | 1.2382 |
| No log | 1.0526 | 40 | 1.8056 | 0.0 | 1.8056 | 1.3437 |
| No log | 1.1053 | 42 | 1.5889 | 0.0 | 1.5889 | 1.2605 |
| No log | 1.1579 | 44 | 1.2873 | -0.0247 | 1.2873 | 1.1346 |
| No log | 1.2105 | 46 | 0.9715 | -0.0695 | 0.9715 | 0.9856 |
| No log | 1.2632 | 48 | 0.7724 | -0.0131 | 0.7724 | 0.8789 |
| No log | 1.3158 | 50 | 0.7745 | -0.1690 | 0.7745 | 0.8801 |
| No log | 1.3684 | 52 | 0.8297 | 0.0247 | 0.8297 | 0.9109 |
| No log | 1.4211 | 54 | 1.0151 | -0.0518 | 1.0151 | 1.0075 |
| No log | 1.4737 | 56 | 1.1257 | -0.0943 | 1.1257 | 1.0610 |
| No log | 1.5263 | 58 | 1.0346 | -0.0845 | 1.0346 | 1.0172 |
| No log | 1.5789 | 60 | 0.9207 | -0.0320 | 0.9207 | 0.9595 |
| No log | 1.6316 | 62 | 0.9556 | 0.1110 | 0.9556 | 0.9776 |
| No log | 1.6842 | 64 | 1.0015 | 0.0392 | 1.0015 | 1.0008 |
| No log | 1.7368 | 66 | 0.9566 | -0.1449 | 0.9566 | 0.9781 |
| No log | 1.7895 | 68 | 1.0566 | -0.1284 | 1.0566 | 1.0279 |
| No log | 1.8421 | 70 | 1.1914 | -0.0221 | 1.1914 | 1.0915 |
| No log | 1.8947 | 72 | 1.3730 | 0.0 | 1.3730 | 1.1718 |
| No log | 1.9474 | 74 | 1.5382 | 0.0 | 1.5382 | 1.2402 |
| No log | 2.0 | 76 | 1.4374 | 0.0 | 1.4374 | 1.1989 |
| No log | 2.0526 | 78 | 1.1942 | -0.0758 | 1.1942 | 1.0928 |
| No log | 2.1053 | 80 | 1.0463 | -0.0992 | 1.0463 | 1.0229 |
| No log | 2.1579 | 82 | 0.9265 | 0.0065 | 0.9265 | 0.9625 |
| No log | 2.2105 | 84 | 0.9248 | 0.0146 | 0.9248 | 0.9616 |
| No log | 2.2632 | 86 | 0.9763 | -0.0424 | 0.9763 | 0.9881 |
| No log | 2.3158 | 88 | 0.9927 | -0.0500 | 0.9927 | 0.9963 |
| No log | 2.3684 | 90 | 0.8793 | 0.0099 | 0.8793 | 0.9377 |
| No log | 2.4211 | 92 | 0.7551 | -0.0644 | 0.7551 | 0.8690 |
| No log | 2.4737 | 94 | 0.7362 | 0.0555 | 0.7362 | 0.8580 |
| No log | 2.5263 | 96 | 0.7372 | -0.0131 | 0.7372 | 0.8586 |
| No log | 2.5789 | 98 | 0.8459 | 0.0071 | 0.8459 | 0.9198 |
| No log | 2.6316 | 100 | 1.2498 | -0.1291 | 1.2498 | 1.1179 |
| No log | 2.6842 | 102 | 1.1845 | -0.0638 | 1.1845 | 1.0884 |
| No log | 2.7368 | 104 | 1.1398 | -0.1281 | 1.1398 | 1.0676 |
| No log | 2.7895 | 106 | 0.8641 | 0.0071 | 0.8641 | 0.9296 |
| No log | 2.8421 | 108 | 0.7524 | 0.0296 | 0.7524 | 0.8674 |
| No log | 2.8947 | 110 | 0.7570 | 0.0759 | 0.7570 | 0.8701 |
| No log | 2.9474 | 112 | 0.7808 | 0.0714 | 0.7808 | 0.8836 |
| No log | 3.0 | 114 | 0.8386 | -0.0059 | 0.8386 | 0.9157 |
| No log | 3.0526 | 116 | 0.9668 | -0.1407 | 0.9668 | 0.9833 |
| No log | 3.1053 | 118 | 1.1570 | -0.0837 | 1.1570 | 1.0756 |
| No log | 3.1579 | 120 | 1.2237 | -0.0854 | 1.2237 | 1.1062 |
| No log | 3.2105 | 122 | 1.0224 | -0.0230 | 1.0224 | 1.0111 |
| No log | 3.2632 | 124 | 1.0091 | -0.0870 | 1.0091 | 1.0045 |
| No log | 3.3158 | 126 | 0.9363 | -0.1524 | 0.9363 | 0.9676 |
| No log | 3.3684 | 128 | 0.8770 | 0.0821 | 0.8770 | 0.9365 |
| No log | 3.4211 | 130 | 0.9787 | -0.0373 | 0.9787 | 0.9893 |
| No log | 3.4737 | 132 | 0.8872 | 0.1047 | 0.8872 | 0.9419 |
| No log | 3.5263 | 134 | 0.7798 | -0.0578 | 0.7798 | 0.8831 |
| No log | 3.5789 | 136 | 0.7460 | 0.0541 | 0.7460 | 0.8637 |
| No log | 3.6316 | 138 | 0.7311 | -0.0096 | 0.7311 | 0.8550 |
| No log | 3.6842 | 140 | 0.8447 | 0.0549 | 0.8447 | 0.9191 |
| No log | 3.7368 | 142 | 0.9236 | 0.0826 | 0.9236 | 0.9610 |
| No log | 3.7895 | 144 | 0.7599 | 0.1627 | 0.7599 | 0.8717 |
| No log | 3.8421 | 146 | 0.7636 | 0.0768 | 0.7636 | 0.8738 |
| No log | 3.8947 | 148 | 0.8894 | 0.0409 | 0.8894 | 0.9431 |
| No log | 3.9474 | 150 | 0.9910 | -0.0079 | 0.9910 | 0.9955 |
| No log | 4.0 | 152 | 0.9367 | -0.0079 | 0.9367 | 0.9678 |
| No log | 4.0526 | 154 | 0.9029 | 0.0346 | 0.9029 | 0.9502 |
| No log | 4.1053 | 156 | 0.7933 | 0.1342 | 0.7933 | 0.8907 |
| No log | 4.1579 | 158 | 0.7938 | 0.1440 | 0.7938 | 0.8909 |
| No log | 4.2105 | 160 | 0.8698 | 0.1190 | 0.8698 | 0.9326 |
| No log | 4.2632 | 162 | 0.8858 | 0.0407 | 0.8858 | 0.9412 |
| No log | 4.3158 | 164 | 1.0152 | 0.0989 | 1.0152 | 1.0076 |
| No log | 4.3684 | 166 | 0.9325 | 0.0956 | 0.9325 | 0.9656 |
| No log | 4.4211 | 168 | 1.0310 | -0.0425 | 1.0310 | 1.0154 |
| No log | 4.4737 | 170 | 0.9677 | 0.0490 | 0.9677 | 0.9837 |
| No log | 4.5263 | 172 | 0.9107 | -0.1778 | 0.9107 | 0.9543 |
| No log | 4.5789 | 174 | 0.9271 | -0.1459 | 0.9271 | 0.9629 |
| No log | 4.6316 | 176 | 1.0049 | 0.0476 | 1.0049 | 1.0024 |
| No log | 4.6842 | 178 | 1.1754 | -0.0175 | 1.1754 | 1.0842 |
| No log | 4.7368 | 180 | 1.0048 | 0.0786 | 1.0048 | 1.0024 |
| No log | 4.7895 | 182 | 0.8244 | -0.1594 | 0.8244 | 0.9080 |
| No log | 4.8421 | 184 | 0.7773 | -0.1100 | 0.7773 | 0.8816 |
| No log | 4.8947 | 186 | 0.7593 | -0.0725 | 0.7593 | 0.8714 |
| No log | 4.9474 | 188 | 0.9729 | 0.0748 | 0.9729 | 0.9863 |
| No log | 5.0 | 190 | 1.1914 | 0.0006 | 1.1914 | 1.0915 |
| No log | 5.0526 | 192 | 0.9706 | 0.0711 | 0.9706 | 0.9852 |
| No log | 5.1053 | 194 | 0.7750 | -0.0264 | 0.7750 | 0.8803 |
| No log | 5.1579 | 196 | 0.8066 | 0.0191 | 0.8066 | 0.8981 |
| No log | 5.2105 | 198 | 0.7905 | -0.0204 | 0.7905 | 0.8891 |
| No log | 5.2632 | 200 | 0.8080 | -0.0204 | 0.8080 | 0.8989 |
| No log | 5.3158 | 202 | 0.8006 | -0.0628 | 0.8006 | 0.8948 |
| No log | 5.3684 | 204 | 0.8349 | 0.0588 | 0.8349 | 0.9137 |
| No log | 5.4211 | 206 | 0.8513 | 0.0999 | 0.8513 | 0.9227 |
| No log | 5.4737 | 208 | 0.8188 | 0.1047 | 0.8188 | 0.9049 |
| No log | 5.5263 | 210 | 0.9165 | 0.0409 | 0.9165 | 0.9573 |
| No log | 5.5789 | 212 | 0.8932 | 0.0409 | 0.8932 | 0.9451 |
| No log | 5.6316 | 214 | 0.7644 | -0.0204 | 0.7644 | 0.8743 |
| No log | 5.6842 | 216 | 0.7748 | 0.0058 | 0.7748 | 0.8802 |
| No log | 5.7368 | 218 | 0.7911 | 0.0157 | 0.7911 | 0.8894 |
| No log | 5.7895 | 220 | 0.8148 | 0.0551 | 0.8148 | 0.9027 |
| No log | 5.8421 | 222 | 1.3056 | 0.0804 | 1.3056 | 1.1426 |
| No log | 5.8947 | 224 | 1.6887 | 0.0069 | 1.6887 | 1.2995 |
| No log | 5.9474 | 226 | 1.3657 | 0.0827 | 1.3657 | 1.1686 |
| No log | 6.0 | 228 | 0.8968 | 0.1141 | 0.8968 | 0.9470 |
| No log | 6.0526 | 230 | 0.8457 | 0.1039 | 0.8457 | 0.9196 |
| No log | 6.1053 | 232 | 0.8199 | 0.0690 | 0.8199 | 0.9055 |
| No log | 6.1579 | 234 | 0.6767 | 0.1021 | 0.6767 | 0.8226 |
| No log | 6.2105 | 236 | 0.7851 | 0.1553 | 0.7851 | 0.8861 |
| No log | 6.2632 | 238 | 1.1140 | 0.0305 | 1.1140 | 1.0555 |
| No log | 6.3158 | 240 | 1.1262 | 0.0604 | 1.1262 | 1.0612 |
| No log | 6.3684 | 242 | 0.8645 | 0.1150 | 0.8645 | 0.9298 |
| No log | 6.4211 | 244 | 0.7710 | -0.0567 | 0.7710 | 0.8781 |
| No log | 6.4737 | 246 | 0.8325 | -0.0354 | 0.8325 | 0.9124 |
| No log | 6.5263 | 248 | 0.8534 | 0.0289 | 0.8534 | 0.9238 |
| No log | 6.5789 | 250 | 0.9155 | 0.0196 | 0.9155 | 0.9568 |
| No log | 6.6316 | 252 | 1.0250 | 0.0668 | 1.0250 | 1.0124 |
| No log | 6.6842 | 254 | 1.0085 | 0.0333 | 1.0085 | 1.0042 |
| No log | 6.7368 | 256 | 0.8805 | 0.0588 | 0.8805 | 0.9384 |
| No log | 6.7895 | 258 | 0.8011 | 0.0394 | 0.8011 | 0.8950 |
| No log | 6.8421 | 260 | 0.8613 | -0.0622 | 0.8613 | 0.9281 |
| No log | 6.8947 | 262 | 0.9465 | 0.0999 | 0.9465 | 0.9729 |
| No log | 6.9474 | 264 | 0.9681 | 0.0471 | 0.9681 | 0.9839 |
| No log | 7.0 | 266 | 0.9984 | 0.0378 | 0.9984 | 0.9992 |
| No log | 7.0526 | 268 | 0.9557 | -0.0022 | 0.9557 | 0.9776 |
| No log | 7.1053 | 270 | 0.8731 | 0.0071 | 0.8731 | 0.9344 |
| No log | 7.1579 | 272 | 0.8181 | -0.0796 | 0.8181 | 0.9045 |
| No log | 7.2105 | 274 | 0.8136 | 0.0639 | 0.8136 | 0.9020 |
| No log | 7.2632 | 276 | 0.8722 | 0.1395 | 0.8722 | 0.9339 |
| No log | 7.3158 | 278 | 1.0365 | 0.0175 | 1.0365 | 1.0181 |
| No log | 7.3684 | 280 | 0.9712 | 0.0320 | 0.9712 | 0.9855 |
| No log | 7.4211 | 282 | 0.8481 | 0.0 | 0.8481 | 0.9209 |
| No log | 7.4737 | 284 | 0.8455 | -0.0672 | 0.8455 | 0.9195 |
| No log | 7.5263 | 286 | 0.8228 | -0.0389 | 0.8228 | 0.9071 |
| No log | 7.5789 | 288 | 0.8017 | 0.0318 | 0.8017 | 0.8954 |
| No log | 7.6316 | 290 | 0.8905 | 0.0826 | 0.8905 | 0.9437 |
| No log | 7.6842 | 292 | 0.9631 | -0.0097 | 0.9631 | 0.9814 |
| No log | 7.7368 | 294 | 0.9029 | 0.0377 | 0.9029 | 0.9502 |
| No log | 7.7895 | 296 | 0.8629 | 0.0318 | 0.8629 | 0.9289 |
| No log | 7.8421 | 298 | 0.9647 | 0.0966 | 0.9647 | 0.9822 |
| No log | 7.8947 | 300 | 0.9846 | 0.0970 | 0.9846 | 0.9923 |
| No log | 7.9474 | 302 | 0.9430 | 0.0444 | 0.9430 | 0.9711 |
| No log | 8.0 | 304 | 1.0031 | -0.0598 | 1.0031 | 1.0016 |
| No log | 8.0526 | 306 | 1.0065 | -0.0090 | 1.0065 | 1.0033 |
| No log | 8.1053 | 308 | 0.9267 | 0.0186 | 0.9267 | 0.9627 |
| No log | 8.1579 | 310 | 0.8966 | 0.0429 | 0.8966 | 0.9469 |
| No log | 8.2105 | 312 | 0.8906 | 0.0429 | 0.8906 | 0.9437 |
| No log | 8.2632 | 314 | 0.8600 | 0.0892 | 0.8600 | 0.9274 |
| No log | 8.3158 | 316 | 0.8574 | 0.1277 | 0.8574 | 0.9260 |
| No log | 8.3684 | 318 | 0.8124 | 0.1353 | 0.8124 | 0.9013 |
| No log | 8.4211 | 320 | 0.8164 | 0.1528 | 0.8164 | 0.9035 |
| No log | 8.4737 | 322 | 0.8156 | 0.1555 | 0.8156 | 0.9031 |
| No log | 8.5263 | 324 | 0.8568 | 0.0563 | 0.8568 | 0.9257 |
| No log | 8.5789 | 326 | 0.9412 | -0.0241 | 0.9412 | 0.9701 |
| No log | 8.6316 | 328 | 0.9373 | -0.0241 | 0.9373 | 0.9681 |
| No log | 8.6842 | 330 | 0.8702 | -0.0223 | 0.8702 | 0.9328 |
| No log | 8.7368 | 332 | 0.7951 | 0.0025 | 0.7951 | 0.8917 |
| No log | 8.7895 | 334 | 0.7857 | 0.0078 | 0.7857 | 0.8864 |
| No log | 8.8421 | 336 | 0.7762 | 0.0428 | 0.7762 | 0.8810 |
| No log | 8.8947 | 338 | 0.7958 | 0.0129 | 0.7958 | 0.8921 |
| No log | 8.9474 | 340 | 0.9264 | 0.0316 | 0.9264 | 0.9625 |
| No log | 9.0 | 342 | 0.9301 | -0.0101 | 0.9301 | 0.9644 |
| No log | 9.0526 | 344 | 0.8303 | 0.0442 | 0.8303 | 0.9112 |
| No log | 9.1053 | 346 | 0.7629 | -0.0179 | 0.7629 | 0.8735 |
| No log | 9.1579 | 348 | 0.7824 | -0.0612 | 0.7824 | 0.8845 |
| No log | 9.2105 | 350 | 0.8231 | -0.0145 | 0.8231 | 0.9072 |
| No log | 9.2632 | 352 | 0.8737 | 0.0255 | 0.8737 | 0.9347 |
| No log | 9.3158 | 354 | 1.0197 | 0.0113 | 1.0197 | 1.0098 |
| No log | 9.3684 | 356 | 1.1046 | -0.1544 | 1.1046 | 1.0510 |
| No log | 9.4211 | 358 | 1.0257 | -0.0341 | 1.0257 | 1.0128 |
| No log | 9.4737 | 360 | 0.9471 | 0.0953 | 0.9471 | 0.9732 |
| No log | 9.5263 | 362 | 0.8764 | -0.0164 | 0.8764 | 0.9362 |
| No log | 9.5789 | 364 | 0.9036 | -0.0212 | 0.9036 | 0.9506 |
| No log | 9.6316 | 366 | 0.8868 | -0.0184 | 0.8868 | 0.9417 |
| No log | 9.6842 | 368 | 0.8654 | 0.0161 | 0.8654 | 0.9303 |
| No log | 9.7368 | 370 | 0.8713 | 0.0140 | 0.8713 | 0.9334 |
| No log | 9.7895 | 372 | 0.8623 | 0.0959 | 0.8623 | 0.9286 |
| No log | 9.8421 | 374 | 0.8216 | 0.1244 | 0.8216 | 0.9064 |
| No log | 9.8947 | 376 | 0.8253 | 0.0341 | 0.8253 | 0.9085 |
| No log | 9.9474 | 378 | 0.8302 | -0.0082 | 0.8302 | 0.9112 |
| No log | 10.0 | 380 | 0.7998 | -0.0488 | 0.7998 | 0.8943 |
| No log | 10.0526 | 382 | 0.7839 | 0.0768 | 0.7839 | 0.8854 |
| No log | 10.1053 | 384 | 0.8223 | 0.0549 | 0.8223 | 0.9068 |
| No log | 10.1579 | 386 | 0.8294 | 0.0043 | 0.8294 | 0.9107 |
| No log | 10.2105 | 388 | 0.8057 | 0.0670 | 0.8057 | 0.8976 |
| No log | 10.2632 | 390 | 0.8212 | 0.1143 | 0.8212 | 0.9062 |
| No log | 10.3158 | 392 | 0.8785 | 0.0065 | 0.8785 | 0.9373 |
| No log | 10.3684 | 394 | 0.9171 | 0.0438 | 0.9171 | 0.9576 |
| No log | 10.4211 | 396 | 0.8589 | 0.0065 | 0.8589 | 0.9268 |
| No log | 10.4737 | 398 | 0.7855 | 0.0670 | 0.7855 | 0.8863 |
| No log | 10.5263 | 400 | 0.7640 | 0.0714 | 0.7640 | 0.8741 |
| No log | 10.5789 | 402 | 0.7518 | 0.0714 | 0.7518 | 0.8671 |
| No log | 10.6316 | 404 | 0.7612 | 0.0628 | 0.7612 | 0.8725 |
| No log | 10.6842 | 406 | 0.7402 | 0.0260 | 0.7402 | 0.8603 |
| No log | 10.7368 | 408 | 0.7418 | 0.0670 | 0.7418 | 0.8613 |
| No log | 10.7895 | 410 | 0.7792 | 0.1047 | 0.7792 | 0.8827 |
| No log | 10.8421 | 412 | 0.7987 | 0.0909 | 0.7987 | 0.8937 |
| No log | 10.8947 | 414 | 0.7981 | 0.0909 | 0.7981 | 0.8934 |
| No log | 10.9474 | 416 | 0.7984 | 0.0909 | 0.7984 | 0.8935 |
| No log | 11.0 | 418 | 0.7906 | 0.0953 | 0.7906 | 0.8892 |
| No log | 11.0526 | 420 | 0.8413 | 0.0909 | 0.8413 | 0.9172 |
| No log | 11.1053 | 422 | 0.8887 | 0.0748 | 0.8887 | 0.9427 |
| No log | 11.1579 | 424 | 0.9816 | -0.0122 | 0.9816 | 0.9908 |
| No log | 11.2105 | 426 | 1.0602 | 0.0111 | 1.0602 | 1.0296 |
| No log | 11.2632 | 428 | 0.9668 | -0.0182 | 0.9668 | 0.9833 |
| No log | 11.3158 | 430 | 0.8190 | 0.0917 | 0.8190 | 0.9050 |
| No log | 11.3684 | 432 | 0.8283 | 0.0514 | 0.8283 | 0.9101 |
| No log | 11.4211 | 434 | 0.9089 | 0.1309 | 0.9089 | 0.9533 |
| No log | 11.4737 | 436 | 0.8760 | -0.0266 | 0.8760 | 0.9359 |
| No log | 11.5263 | 438 | 0.8971 | -0.0327 | 0.8971 | 0.9472 |
| No log | 11.5789 | 440 | 1.0659 | 0.0157 | 1.0659 | 1.0324 |
| No log | 11.6316 | 442 | 1.1563 | 0.0319 | 1.1563 | 1.0753 |
| No log | 11.6842 | 444 | 1.0176 | 0.0207 | 1.0176 | 1.0088 |
| No log | 11.7368 | 446 | 0.8362 | 0.1291 | 0.8362 | 0.9144 |
| No log | 11.7895 | 448 | 0.7937 | 0.0953 | 0.7937 | 0.8909 |
| No log | 11.8421 | 450 | 0.8233 | 0.1342 | 0.8233 | 0.9074 |
| No log | 11.8947 | 452 | 0.8663 | 0.1243 | 0.8663 | 0.9308 |
| No log | 11.9474 | 454 | 1.0535 | 0.0157 | 1.0535 | 1.0264 |
| No log | 12.0 | 456 | 1.2046 | 0.0586 | 1.2046 | 1.0975 |
| No log | 12.0526 | 458 | 1.1332 | 0.0086 | 1.1332 | 1.0645 |
| No log | 12.1053 | 460 | 0.9492 | 0.0016 | 0.9492 | 0.9743 |
| No log | 12.1579 | 462 | 0.8446 | 0.0504 | 0.8446 | 0.9190 |
| No log | 12.2105 | 464 | 0.8255 | -0.0192 | 0.8255 | 0.9085 |
| No log | 12.2632 | 466 | 0.8595 | 0.0114 | 0.8595 | 0.9271 |
| No log | 12.3158 | 468 | 0.8948 | 0.0649 | 0.8948 | 0.9459 |
| No log | 12.3684 | 470 | 0.8623 | 0.0045 | 0.8623 | 0.9286 |
| No log | 12.4211 | 472 | 0.8892 | 0.0762 | 0.8892 | 0.9430 |
| No log | 12.4737 | 474 | 0.9760 | 0.0207 | 0.9760 | 0.9879 |
| No log | 12.5263 | 476 | 0.9152 | 0.0304 | 0.9152 | 0.9567 |
| No log | 12.5789 | 478 | 0.8709 | 0.0927 | 0.8709 | 0.9332 |
| No log | 12.6316 | 480 | 0.8802 | 0.0262 | 0.8802 | 0.9382 |
| No log | 12.6842 | 482 | 0.8951 | 0.0899 | 0.8951 | 0.9461 |
| No log | 12.7368 | 484 | 0.8804 | 0.0805 | 0.8804 | 0.9383 |
| No log | 12.7895 | 486 | 0.8604 | 0.1004 | 0.8604 | 0.9276 |
| No log | 12.8421 | 488 | 0.8385 | 0.0574 | 0.8385 | 0.9157 |
| No log | 12.8947 | 490 | 0.8518 | 0.0095 | 0.8518 | 0.9229 |
| No log | 12.9474 | 492 | 0.9267 | 0.0287 | 0.9267 | 0.9627 |
| No log | 13.0 | 494 | 1.0440 | 0.0157 | 1.0440 | 1.0218 |
| No log | 13.0526 | 496 | 1.0200 | -0.0073 | 1.0200 | 1.0099 |
| No log | 13.1053 | 498 | 0.9292 | 0.0149 | 0.9292 | 0.9640 |
| 0.3588 | 13.1579 | 500 | 0.9134 | 0.0618 | 0.9134 | 0.9557 |
| 0.3588 | 13.2105 | 502 | 0.9310 | 0.0842 | 0.9310 | 0.9649 |
| 0.3588 | 13.2632 | 504 | 1.0139 | 0.0316 | 1.0139 | 1.0069 |
| 0.3588 | 13.3158 | 506 | 1.1392 | -0.0551 | 1.1392 | 1.0674 |
| 0.3588 | 13.3684 | 508 | 1.1099 | -0.0138 | 1.1099 | 1.0535 |
| 0.3588 | 13.4211 | 510 | 1.0253 | 0.0762 | 1.0253 | 1.0126 |
| 0.3588 | 13.4737 | 512 | 0.9858 | 0.0762 | 0.9858 | 0.9929 |
| 0.3588 | 13.5263 | 514 | 0.9147 | -0.0008 | 0.9147 | 0.9564 |
| 0.3588 | 13.5789 | 516 | 0.8550 | 0.1048 | 0.8550 | 0.9247 |
| 0.3588 | 13.6316 | 518 | 0.8548 | 0.0257 | 0.8548 | 0.9245 |
| 0.3588 | 13.6842 | 520 | 0.8924 | -0.0070 | 0.8924 | 0.9447 |
| 0.3588 | 13.7368 | 522 | 0.9458 | 0.0971 | 0.9458 | 0.9725 |
| 0.3588 | 13.7895 | 524 | 0.9646 | 0.0563 | 0.9646 | 0.9822 |
| 0.3588 | 13.8421 | 526 | 0.9904 | 0.0336 | 0.9904 | 0.9952 |
| 0.3588 | 13.8947 | 528 | 1.0204 | 0.0129 | 1.0204 | 1.0101 |
| 0.3588 | 13.9474 | 530 | 0.9561 | -0.0532 | 0.9561 | 0.9778 |
| 0.3588 | 14.0 | 532 | 0.8899 | 0.0517 | 0.8899 | 0.9433 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.0+cu118
- Datasets 2.21.0
- Tokenizers 0.19.1
- Downloads last month
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Model tree for MayBashendy/ArabicNewSplits7_FineTuningAraBERT_run3_AugV5_k14_task3_organization
Base model
aubmindlab/bert-base-arabertv02