Instructions to use MayBashendy/ArabicNewSplits7_FineTuningAraBERT_run3_AugV5_k12_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_k12_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_k12_task1_organization")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("MayBashendy/ArabicNewSplits7_FineTuningAraBERT_run3_AugV5_k12_task1_organization") model = AutoModelForSequenceClassification.from_pretrained("MayBashendy/ArabicNewSplits7_FineTuningAraBERT_run3_AugV5_k12_task1_organization", device_map="auto") - Notebooks
- Google Colab
- Kaggle
ArabicNewSplits7_FineTuningAraBERT_run3_AugV5_k12_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: 0.6873
- Qwk: 0.7083
- Mse: 0.6873
- Rmse: 0.8290
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 | 0.0357 | 2 | 6.6058 | 0.0179 | 6.6058 | 2.5702 |
| No log | 0.0714 | 4 | 4.2642 | 0.0267 | 4.2642 | 2.0650 |
| No log | 0.1071 | 6 | 2.7138 | 0.0633 | 2.7138 | 1.6474 |
| No log | 0.1429 | 8 | 2.2901 | 0.1233 | 2.2901 | 1.5133 |
| No log | 0.1786 | 10 | 1.9609 | 0.2295 | 1.9609 | 1.4003 |
| No log | 0.2143 | 12 | 1.7845 | 0.1982 | 1.7845 | 1.3359 |
| No log | 0.25 | 14 | 1.9466 | 0.2295 | 1.9466 | 1.3952 |
| No log | 0.2857 | 16 | 1.7824 | 0.2105 | 1.7824 | 1.3351 |
| No log | 0.3214 | 18 | 1.5792 | 0.2243 | 1.5792 | 1.2567 |
| No log | 0.3571 | 20 | 1.9464 | 0.1440 | 1.9464 | 1.3951 |
| No log | 0.3929 | 22 | 2.9688 | 0.0633 | 2.9688 | 1.7230 |
| No log | 0.4286 | 24 | 2.7854 | 0.0392 | 2.7854 | 1.6690 |
| No log | 0.4643 | 26 | 2.1139 | 0.1679 | 2.1139 | 1.4539 |
| No log | 0.5 | 28 | 1.5507 | 0.3252 | 1.5507 | 1.2453 |
| No log | 0.5357 | 30 | 1.3208 | 0.3009 | 1.3208 | 1.1493 |
| No log | 0.5714 | 32 | 1.2703 | 0.3091 | 1.2703 | 1.1271 |
| No log | 0.6071 | 34 | 1.5034 | 0.2243 | 1.5034 | 1.2261 |
| No log | 0.6429 | 36 | 1.8511 | 0.1346 | 1.8511 | 1.3606 |
| No log | 0.6786 | 38 | 1.6610 | 0.2075 | 1.6610 | 1.2888 |
| No log | 0.7143 | 40 | 1.2975 | 0.3393 | 1.2975 | 1.1391 |
| No log | 0.75 | 42 | 1.1569 | 0.4615 | 1.1569 | 1.0756 |
| No log | 0.7857 | 44 | 1.1056 | 0.5238 | 1.1056 | 1.0515 |
| No log | 0.8214 | 46 | 1.1171 | 0.5312 | 1.1171 | 1.0569 |
| No log | 0.8571 | 48 | 1.1044 | 0.5197 | 1.1044 | 1.0509 |
| No log | 0.8929 | 50 | 1.1045 | 0.5 | 1.1045 | 1.0509 |
| No log | 0.9286 | 52 | 1.1086 | 0.4754 | 1.1086 | 1.0529 |
| No log | 0.9643 | 54 | 1.1098 | 0.4918 | 1.1098 | 1.0534 |
| No log | 1.0 | 56 | 1.0842 | 0.4918 | 1.0842 | 1.0412 |
| No log | 1.0357 | 58 | 1.0521 | 0.4878 | 1.0521 | 1.0257 |
| No log | 1.0714 | 60 | 1.0350 | 0.5760 | 1.0350 | 1.0173 |
| No log | 1.1071 | 62 | 1.3422 | 0.4167 | 1.3422 | 1.1586 |
| No log | 1.1429 | 64 | 1.5860 | 0.3636 | 1.5860 | 1.2594 |
| No log | 1.1786 | 66 | 1.3925 | 0.4132 | 1.3925 | 1.1800 |
| No log | 1.2143 | 68 | 1.0482 | 0.5970 | 1.0482 | 1.0238 |
| No log | 1.25 | 70 | 0.9976 | 0.6522 | 0.9976 | 0.9988 |
| No log | 1.2857 | 72 | 0.9308 | 0.6131 | 0.9308 | 0.9648 |
| No log | 1.3214 | 74 | 1.0140 | 0.5821 | 1.0140 | 1.0070 |
| No log | 1.3571 | 76 | 1.6188 | 0.2969 | 1.6188 | 1.2723 |
| No log | 1.3929 | 78 | 1.9134 | 0.2080 | 1.9134 | 1.3833 |
| No log | 1.4286 | 80 | 1.6814 | 0.2656 | 1.6814 | 1.2967 |
| No log | 1.4643 | 82 | 1.3216 | 0.4186 | 1.3216 | 1.1496 |
| No log | 1.5 | 84 | 0.9748 | 0.6462 | 0.9748 | 0.9873 |
| No log | 1.5357 | 86 | 0.9671 | 0.5574 | 0.9671 | 0.9834 |
| No log | 1.5714 | 88 | 1.1233 | 0.5271 | 1.1233 | 1.0599 |
| No log | 1.6071 | 90 | 1.0428 | 0.5839 | 1.0428 | 1.0212 |
| No log | 1.6429 | 92 | 0.8449 | 0.6619 | 0.8449 | 0.9192 |
| No log | 1.6786 | 94 | 0.7773 | 0.6944 | 0.7773 | 0.8816 |
| No log | 1.7143 | 96 | 0.8418 | 0.6986 | 0.8418 | 0.9175 |
| No log | 1.75 | 98 | 0.8897 | 0.6800 | 0.8897 | 0.9433 |
| No log | 1.7857 | 100 | 0.8330 | 0.6849 | 0.8330 | 0.9127 |
| No log | 1.8214 | 102 | 0.7693 | 0.7468 | 0.7693 | 0.8771 |
| No log | 1.8571 | 104 | 0.7496 | 0.7451 | 0.7496 | 0.8658 |
| No log | 1.8929 | 106 | 0.9134 | 0.6623 | 0.9134 | 0.9557 |
| No log | 1.9286 | 108 | 0.9100 | 0.6447 | 0.9100 | 0.9539 |
| No log | 1.9643 | 110 | 0.7621 | 0.6986 | 0.7621 | 0.8730 |
| No log | 2.0 | 112 | 0.7728 | 0.7211 | 0.7728 | 0.8791 |
| No log | 2.0357 | 114 | 0.8176 | 0.6944 | 0.8176 | 0.9042 |
| No log | 2.0714 | 116 | 0.8449 | 0.6809 | 0.8449 | 0.9192 |
| No log | 2.1071 | 118 | 0.8800 | 0.6575 | 0.8800 | 0.9381 |
| No log | 2.1429 | 120 | 0.9320 | 0.6490 | 0.9320 | 0.9654 |
| No log | 2.1786 | 122 | 0.8841 | 0.6933 | 0.8841 | 0.9402 |
| No log | 2.2143 | 124 | 0.7999 | 0.7383 | 0.7999 | 0.8944 |
| No log | 2.25 | 126 | 0.8081 | 0.7162 | 0.8081 | 0.8989 |
| No log | 2.2857 | 128 | 0.7812 | 0.7792 | 0.7812 | 0.8838 |
| No log | 2.3214 | 130 | 0.8976 | 0.6974 | 0.8976 | 0.9474 |
| No log | 2.3571 | 132 | 1.0852 | 0.6087 | 1.0852 | 1.0417 |
| No log | 2.3929 | 134 | 1.0691 | 0.6131 | 1.0691 | 1.0340 |
| No log | 2.4286 | 136 | 0.9661 | 0.6986 | 0.9661 | 0.9829 |
| No log | 2.4643 | 138 | 0.8222 | 0.6939 | 0.8222 | 0.9068 |
| No log | 2.5 | 140 | 0.6824 | 0.7595 | 0.6824 | 0.8261 |
| No log | 2.5357 | 142 | 0.6778 | 0.7595 | 0.6778 | 0.8233 |
| No log | 2.5714 | 144 | 0.6944 | 0.7329 | 0.6944 | 0.8333 |
| No log | 2.6071 | 146 | 0.7641 | 0.7179 | 0.7641 | 0.8741 |
| No log | 2.6429 | 148 | 0.7272 | 0.7320 | 0.7272 | 0.8528 |
| No log | 2.6786 | 150 | 0.8247 | 0.6939 | 0.8247 | 0.9081 |
| No log | 2.7143 | 152 | 0.9447 | 0.6711 | 0.9447 | 0.9720 |
| No log | 2.75 | 154 | 0.7376 | 0.7075 | 0.7376 | 0.8588 |
| No log | 2.7857 | 156 | 0.7775 | 0.7114 | 0.7775 | 0.8817 |
| No log | 2.8214 | 158 | 0.9990 | 0.5906 | 0.9990 | 0.9995 |
| No log | 2.8571 | 160 | 1.0353 | 0.5752 | 1.0353 | 1.0175 |
| No log | 2.8929 | 162 | 1.1321 | 0.5882 | 1.1321 | 1.0640 |
| No log | 2.9286 | 164 | 1.1226 | 0.6533 | 1.1226 | 1.0595 |
| No log | 2.9643 | 166 | 1.0666 | 0.6483 | 1.0666 | 1.0328 |
| No log | 3.0 | 168 | 1.0098 | 0.6621 | 1.0098 | 1.0049 |
| No log | 3.0357 | 170 | 0.9116 | 0.6853 | 0.9116 | 0.9548 |
| No log | 3.0714 | 172 | 0.8189 | 0.7050 | 0.8189 | 0.9049 |
| No log | 3.1071 | 174 | 0.7956 | 0.7 | 0.7956 | 0.8920 |
| No log | 3.1429 | 176 | 0.7588 | 0.7042 | 0.7588 | 0.8711 |
| No log | 3.1786 | 178 | 0.6739 | 0.7632 | 0.6739 | 0.8209 |
| No log | 3.2143 | 180 | 0.7761 | 0.7195 | 0.7761 | 0.8810 |
| No log | 3.25 | 182 | 0.9228 | 0.6788 | 0.9228 | 0.9606 |
| No log | 3.2857 | 184 | 0.7391 | 0.75 | 0.7391 | 0.8597 |
| No log | 3.3214 | 186 | 0.6308 | 0.7643 | 0.6308 | 0.7942 |
| No log | 3.3571 | 188 | 0.8103 | 0.7067 | 0.8103 | 0.9002 |
| No log | 3.3929 | 190 | 0.8286 | 0.6986 | 0.8286 | 0.9103 |
| No log | 3.4286 | 192 | 0.7478 | 0.7518 | 0.7478 | 0.8648 |
| No log | 3.4643 | 194 | 0.7444 | 0.7273 | 0.7444 | 0.8628 |
| No log | 3.5 | 196 | 0.7220 | 0.7682 | 0.7220 | 0.8497 |
| No log | 3.5357 | 198 | 0.7223 | 0.7123 | 0.7223 | 0.8499 |
| No log | 3.5714 | 200 | 0.7177 | 0.7123 | 0.7177 | 0.8472 |
| No log | 3.6071 | 202 | 0.7103 | 0.7123 | 0.7103 | 0.8428 |
| No log | 3.6429 | 204 | 0.7668 | 0.6897 | 0.7668 | 0.8757 |
| No log | 3.6786 | 206 | 0.7323 | 0.7436 | 0.7323 | 0.8558 |
| No log | 3.7143 | 208 | 0.6277 | 0.7742 | 0.6277 | 0.7923 |
| No log | 3.75 | 210 | 0.7196 | 0.775 | 0.7196 | 0.8483 |
| No log | 3.7857 | 212 | 0.7222 | 0.7673 | 0.7222 | 0.8498 |
| No log | 3.8214 | 214 | 0.6309 | 0.8 | 0.6309 | 0.7943 |
| No log | 3.8571 | 216 | 0.7744 | 0.6803 | 0.7744 | 0.8800 |
| No log | 3.8929 | 218 | 0.8862 | 0.6667 | 0.8862 | 0.9414 |
| No log | 3.9286 | 220 | 0.8276 | 0.6897 | 0.8276 | 0.9097 |
| No log | 3.9643 | 222 | 0.7997 | 0.7310 | 0.7997 | 0.8943 |
| No log | 4.0 | 224 | 0.7784 | 0.7383 | 0.7784 | 0.8823 |
| No log | 4.0357 | 226 | 0.8571 | 0.6803 | 0.8571 | 0.9258 |
| No log | 4.0714 | 228 | 1.0037 | 0.6309 | 1.0037 | 1.0018 |
| No log | 4.1071 | 230 | 1.0234 | 0.6625 | 1.0234 | 1.0116 |
| No log | 4.1429 | 232 | 0.8059 | 0.6835 | 0.8059 | 0.8977 |
| No log | 4.1786 | 234 | 0.6301 | 0.7564 | 0.6301 | 0.7938 |
| No log | 4.2143 | 236 | 0.6107 | 0.8415 | 0.6107 | 0.7815 |
| No log | 4.25 | 238 | 0.6538 | 0.7975 | 0.6538 | 0.8086 |
| No log | 4.2857 | 240 | 0.6148 | 0.8323 | 0.6148 | 0.7841 |
| No log | 4.3214 | 242 | 0.6933 | 0.7190 | 0.6933 | 0.8327 |
| No log | 4.3571 | 244 | 0.7078 | 0.72 | 0.7078 | 0.8413 |
| No log | 4.3929 | 246 | 0.6942 | 0.7755 | 0.6942 | 0.8332 |
| No log | 4.4286 | 248 | 0.6953 | 0.7483 | 0.6953 | 0.8339 |
| No log | 4.4643 | 250 | 0.6847 | 0.7568 | 0.6847 | 0.8275 |
| No log | 4.5 | 252 | 0.6898 | 0.7190 | 0.6898 | 0.8306 |
| No log | 4.5357 | 254 | 0.6576 | 0.7368 | 0.6576 | 0.8109 |
| No log | 4.5714 | 256 | 0.6140 | 0.7975 | 0.6140 | 0.7836 |
| No log | 4.6071 | 258 | 0.6493 | 0.8242 | 0.6493 | 0.8058 |
| No log | 4.6429 | 260 | 0.6245 | 0.8242 | 0.6245 | 0.7903 |
| No log | 4.6786 | 262 | 0.5883 | 0.8049 | 0.5883 | 0.7670 |
| No log | 4.7143 | 264 | 0.7161 | 0.7205 | 0.7161 | 0.8462 |
| No log | 4.75 | 266 | 0.7068 | 0.7485 | 0.7068 | 0.8407 |
| No log | 4.7857 | 268 | 0.6245 | 0.7432 | 0.6245 | 0.7903 |
| No log | 4.8214 | 270 | 0.6718 | 0.75 | 0.6718 | 0.8196 |
| No log | 4.8571 | 272 | 0.8139 | 0.6571 | 0.8139 | 0.9022 |
| No log | 4.8929 | 274 | 0.8239 | 0.6619 | 0.8239 | 0.9077 |
| No log | 4.9286 | 276 | 0.7584 | 0.7101 | 0.7584 | 0.8709 |
| No log | 4.9643 | 278 | 0.7301 | 0.7465 | 0.7301 | 0.8544 |
| No log | 5.0 | 280 | 0.7073 | 0.7606 | 0.7073 | 0.8410 |
| No log | 5.0357 | 282 | 0.6567 | 0.7552 | 0.6567 | 0.8104 |
| No log | 5.0714 | 284 | 0.6314 | 0.7871 | 0.6314 | 0.7946 |
| No log | 5.1071 | 286 | 0.6454 | 0.7975 | 0.6454 | 0.8034 |
| No log | 5.1429 | 288 | 0.6684 | 0.7975 | 0.6684 | 0.8175 |
| No log | 5.1786 | 290 | 0.6844 | 0.7799 | 0.6844 | 0.8273 |
| No log | 5.2143 | 292 | 0.7041 | 0.7333 | 0.7041 | 0.8391 |
| No log | 5.25 | 294 | 0.7048 | 0.7105 | 0.7048 | 0.8395 |
| No log | 5.2857 | 296 | 0.6852 | 0.7582 | 0.6852 | 0.8278 |
| No log | 5.3214 | 298 | 0.6898 | 0.7742 | 0.6898 | 0.8306 |
| No log | 5.3571 | 300 | 0.7372 | 0.7692 | 0.7372 | 0.8586 |
| No log | 5.3929 | 302 | 0.8882 | 0.6887 | 0.8882 | 0.9425 |
| No log | 5.4286 | 304 | 1.0514 | 0.5793 | 1.0514 | 1.0254 |
| No log | 5.4643 | 306 | 1.1073 | 0.5455 | 1.1073 | 1.0523 |
| No log | 5.5 | 308 | 1.0262 | 0.5468 | 1.0262 | 1.0130 |
| No log | 5.5357 | 310 | 0.8550 | 0.7 | 0.8550 | 0.9246 |
| No log | 5.5714 | 312 | 0.7759 | 0.7133 | 0.7759 | 0.8809 |
| No log | 5.6071 | 314 | 0.7603 | 0.7248 | 0.7603 | 0.8720 |
| No log | 5.6429 | 316 | 0.7364 | 0.7484 | 0.7364 | 0.8582 |
| No log | 5.6786 | 318 | 0.7051 | 0.7848 | 0.7051 | 0.8397 |
| No log | 5.7143 | 320 | 0.6866 | 0.8050 | 0.6866 | 0.8286 |
| No log | 5.75 | 322 | 0.6912 | 0.7867 | 0.6912 | 0.8314 |
| No log | 5.7857 | 324 | 0.7847 | 0.7183 | 0.7847 | 0.8858 |
| No log | 5.8214 | 326 | 0.8691 | 0.7234 | 0.8691 | 0.9322 |
| No log | 5.8571 | 328 | 0.8792 | 0.7059 | 0.8792 | 0.9377 |
| No log | 5.8929 | 330 | 0.8465 | 0.6618 | 0.8465 | 0.9200 |
| No log | 5.9286 | 332 | 0.7888 | 0.6667 | 0.7888 | 0.8881 |
| No log | 5.9643 | 334 | 0.7015 | 0.7534 | 0.7015 | 0.8375 |
| No log | 6.0 | 336 | 0.6199 | 0.7792 | 0.6199 | 0.7874 |
| No log | 6.0357 | 338 | 0.5811 | 0.7853 | 0.5811 | 0.7623 |
| No log | 6.0714 | 340 | 0.5511 | 0.8121 | 0.5511 | 0.7424 |
| No log | 6.1071 | 342 | 0.5578 | 0.8121 | 0.5578 | 0.7469 |
| No log | 6.1429 | 344 | 0.6028 | 0.8098 | 0.6028 | 0.7764 |
| No log | 6.1786 | 346 | 0.5941 | 0.7875 | 0.5941 | 0.7708 |
| No log | 6.2143 | 348 | 0.6123 | 0.8075 | 0.6123 | 0.7825 |
| No log | 6.25 | 350 | 0.6797 | 0.7368 | 0.6797 | 0.8244 |
| No log | 6.2857 | 352 | 0.7154 | 0.7417 | 0.7154 | 0.8458 |
| No log | 6.3214 | 354 | 0.8056 | 0.6944 | 0.8056 | 0.8976 |
| No log | 6.3571 | 356 | 0.8856 | 0.6099 | 0.8856 | 0.9411 |
| No log | 6.3929 | 358 | 0.8678 | 0.6099 | 0.8678 | 0.9315 |
| No log | 6.4286 | 360 | 0.7800 | 0.75 | 0.7800 | 0.8832 |
| No log | 6.4643 | 362 | 0.7208 | 0.7310 | 0.7208 | 0.8490 |
| No log | 6.5 | 364 | 0.7309 | 0.7467 | 0.7309 | 0.8549 |
| No log | 6.5357 | 366 | 0.6874 | 0.7467 | 0.6874 | 0.8291 |
| No log | 6.5714 | 368 | 0.6245 | 0.7662 | 0.6245 | 0.7902 |
| No log | 6.6071 | 370 | 0.6078 | 0.7742 | 0.6078 | 0.7796 |
| No log | 6.6429 | 372 | 0.6257 | 0.7848 | 0.6257 | 0.7910 |
| No log | 6.6786 | 374 | 0.6418 | 0.7922 | 0.6418 | 0.8011 |
| No log | 6.7143 | 376 | 0.6666 | 0.7451 | 0.6666 | 0.8165 |
| No log | 6.75 | 378 | 0.7242 | 0.7260 | 0.7242 | 0.8510 |
| No log | 6.7857 | 380 | 0.7169 | 0.7260 | 0.7169 | 0.8467 |
| No log | 6.8214 | 382 | 0.6740 | 0.75 | 0.6740 | 0.8210 |
| No log | 6.8571 | 384 | 0.6488 | 0.7867 | 0.6488 | 0.8055 |
| No log | 6.8929 | 386 | 0.7439 | 0.7417 | 0.7439 | 0.8625 |
| No log | 6.9286 | 388 | 0.8948 | 0.6345 | 0.8948 | 0.9459 |
| No log | 6.9643 | 390 | 0.7997 | 0.7114 | 0.7997 | 0.8943 |
| No log | 7.0 | 392 | 0.6088 | 0.7919 | 0.6088 | 0.7802 |
| No log | 7.0357 | 394 | 0.5895 | 0.7763 | 0.5895 | 0.7678 |
| No log | 7.0714 | 396 | 0.5778 | 0.7895 | 0.5778 | 0.7601 |
| No log | 7.1071 | 398 | 0.5855 | 0.8105 | 0.5855 | 0.7652 |
| No log | 7.1429 | 400 | 0.6134 | 0.7582 | 0.6134 | 0.7832 |
| No log | 7.1786 | 402 | 0.6356 | 0.7532 | 0.6356 | 0.7972 |
| No log | 7.2143 | 404 | 0.6962 | 0.6974 | 0.6962 | 0.8344 |
| No log | 7.25 | 406 | 0.8255 | 0.6933 | 0.8255 | 0.9086 |
| No log | 7.2857 | 408 | 0.9429 | 0.6933 | 0.9429 | 0.9710 |
| No log | 7.3214 | 410 | 0.9996 | 0.6528 | 0.9996 | 0.9998 |
| No log | 7.3571 | 412 | 0.9406 | 0.6803 | 0.9406 | 0.9699 |
| No log | 7.3929 | 414 | 0.7886 | 0.6713 | 0.7886 | 0.8880 |
| No log | 7.4286 | 416 | 0.7409 | 0.7273 | 0.7409 | 0.8608 |
| No log | 7.4643 | 418 | 0.7262 | 0.7361 | 0.7262 | 0.8522 |
| No log | 7.5 | 420 | 0.6984 | 0.7172 | 0.6984 | 0.8357 |
| No log | 7.5357 | 422 | 0.6845 | 0.7034 | 0.6845 | 0.8273 |
| No log | 7.5714 | 424 | 0.7235 | 0.6980 | 0.7235 | 0.8506 |
| No log | 7.6071 | 426 | 0.8140 | 0.7059 | 0.8140 | 0.9022 |
| No log | 7.6429 | 428 | 0.8351 | 0.7051 | 0.8351 | 0.9138 |
| No log | 7.6786 | 430 | 0.7041 | 0.7143 | 0.7041 | 0.8391 |
| No log | 7.7143 | 432 | 0.6097 | 0.8158 | 0.6097 | 0.7808 |
| No log | 7.75 | 434 | 0.7396 | 0.75 | 0.7396 | 0.8600 |
| No log | 7.7857 | 436 | 0.7847 | 0.6892 | 0.7847 | 0.8858 |
| No log | 7.8214 | 438 | 0.7195 | 0.7397 | 0.7195 | 0.8483 |
| No log | 7.8571 | 440 | 0.6645 | 0.7361 | 0.6645 | 0.8152 |
| No log | 7.8929 | 442 | 0.6651 | 0.7448 | 0.6651 | 0.8155 |
| No log | 7.9286 | 444 | 0.6374 | 0.7703 | 0.6374 | 0.7984 |
| No log | 7.9643 | 446 | 0.6563 | 0.7703 | 0.6563 | 0.8101 |
| No log | 8.0 | 448 | 0.7301 | 0.7114 | 0.7301 | 0.8545 |
| No log | 8.0357 | 450 | 0.6689 | 0.7368 | 0.6689 | 0.8179 |
| No log | 8.0714 | 452 | 0.5703 | 0.8182 | 0.5703 | 0.7552 |
| No log | 8.1071 | 454 | 0.5869 | 0.7643 | 0.5869 | 0.7661 |
| No log | 8.1429 | 456 | 0.6124 | 0.7547 | 0.6124 | 0.7826 |
| No log | 8.1786 | 458 | 0.5698 | 0.7742 | 0.5698 | 0.7548 |
| No log | 8.2143 | 460 | 0.5493 | 0.8105 | 0.5493 | 0.7411 |
| No log | 8.25 | 462 | 0.5781 | 0.8258 | 0.5781 | 0.7603 |
| No log | 8.2857 | 464 | 0.5561 | 0.8333 | 0.5561 | 0.7457 |
| No log | 8.3214 | 466 | 0.5524 | 0.7949 | 0.5524 | 0.7432 |
| No log | 8.3571 | 468 | 0.6288 | 0.7320 | 0.6288 | 0.7930 |
| No log | 8.3929 | 470 | 0.6597 | 0.7211 | 0.6597 | 0.8122 |
| No log | 8.4286 | 472 | 0.6437 | 0.7724 | 0.6437 | 0.8023 |
| No log | 8.4643 | 474 | 0.6382 | 0.7862 | 0.6382 | 0.7989 |
| No log | 8.5 | 476 | 0.6176 | 0.7945 | 0.6176 | 0.7859 |
| No log | 8.5357 | 478 | 0.5925 | 0.7733 | 0.5925 | 0.7698 |
| No log | 8.5714 | 480 | 0.5992 | 0.7368 | 0.5992 | 0.7741 |
| No log | 8.6071 | 482 | 0.5837 | 0.7785 | 0.5837 | 0.7640 |
| No log | 8.6429 | 484 | 0.5697 | 0.8082 | 0.5697 | 0.7548 |
| No log | 8.6786 | 486 | 0.5433 | 0.8212 | 0.5433 | 0.7371 |
| No log | 8.7143 | 488 | 0.5389 | 0.8129 | 0.5389 | 0.7341 |
| No log | 8.75 | 490 | 0.6041 | 0.7836 | 0.6041 | 0.7772 |
| No log | 8.7857 | 492 | 0.6540 | 0.7771 | 0.6540 | 0.8087 |
| No log | 8.8214 | 494 | 0.6778 | 0.7586 | 0.6778 | 0.8233 |
| No log | 8.8571 | 496 | 0.6299 | 0.7403 | 0.6299 | 0.7937 |
| No log | 8.8929 | 498 | 0.5958 | 0.7808 | 0.5958 | 0.7719 |
| 0.4356 | 8.9286 | 500 | 0.5975 | 0.7808 | 0.5975 | 0.7730 |
| 0.4356 | 8.9643 | 502 | 0.6192 | 0.75 | 0.6192 | 0.7869 |
| 0.4356 | 9.0 | 504 | 0.6204 | 0.75 | 0.6204 | 0.7877 |
| 0.4356 | 9.0357 | 506 | 0.6639 | 0.7083 | 0.6639 | 0.8148 |
| 0.4356 | 9.0714 | 508 | 0.7116 | 0.6993 | 0.7116 | 0.8436 |
| 0.4356 | 9.1071 | 510 | 0.6873 | 0.7083 | 0.6873 | 0.8290 |
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_k12_task1_organization
Base model
aubmindlab/bert-base-arabertv02