Instructions to use MayBashendy/ArabicNewSplits7_FineTuningAraBERT_run3_AugV5_k16_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_k16_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_k16_task1_organization")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("MayBashendy/ArabicNewSplits7_FineTuningAraBERT_run3_AugV5_k16_task1_organization") model = AutoModelForSequenceClassification.from_pretrained("MayBashendy/ArabicNewSplits7_FineTuningAraBERT_run3_AugV5_k16_task1_organization", device_map="auto") - Notebooks
- Google Colab
- Kaggle
ArabicNewSplits7_FineTuningAraBERT_run3_AugV5_k16_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: 0.8256
- Qwk: 0.6950
- Mse: 0.8256
- Rmse: 0.9086
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 | 0.0274 | 2 | 7.0431 | 0.0056 | 7.0431 | 2.6539 |
| No log | 0.0548 | 4 | 4.3669 | 0.0928 | 4.3669 | 2.0897 |
| No log | 0.0822 | 6 | 3.1837 | 0.0714 | 3.1837 | 1.7843 |
| No log | 0.1096 | 8 | 2.6432 | 0.0755 | 2.6432 | 1.6258 |
| No log | 0.1370 | 10 | 2.2348 | 0.1727 | 2.2348 | 1.4949 |
| No log | 0.1644 | 12 | 1.8249 | 0.2520 | 1.8249 | 1.3509 |
| No log | 0.1918 | 14 | 1.7978 | 0.3817 | 1.7978 | 1.3408 |
| No log | 0.2192 | 16 | 1.5800 | 0.3306 | 1.5800 | 1.2570 |
| No log | 0.2466 | 18 | 1.3791 | 0.3036 | 1.3791 | 1.1744 |
| No log | 0.2740 | 20 | 1.2955 | 0.2545 | 1.2955 | 1.1382 |
| No log | 0.3014 | 22 | 1.2538 | 0.3304 | 1.2538 | 1.1197 |
| No log | 0.3288 | 24 | 1.2998 | 0.3932 | 1.2998 | 1.1401 |
| No log | 0.3562 | 26 | 1.2076 | 0.4370 | 1.2076 | 1.0989 |
| No log | 0.3836 | 28 | 1.1033 | 0.4833 | 1.1033 | 1.0504 |
| No log | 0.4110 | 30 | 1.1703 | 0.4463 | 1.1703 | 1.0818 |
| No log | 0.4384 | 32 | 1.1029 | 0.4667 | 1.1029 | 1.0502 |
| No log | 0.4658 | 34 | 1.0821 | 0.5042 | 1.0821 | 1.0402 |
| No log | 0.4932 | 36 | 1.2980 | 0.4348 | 1.2980 | 1.1393 |
| No log | 0.5205 | 38 | 1.3862 | 0.4103 | 1.3862 | 1.1774 |
| No log | 0.5479 | 40 | 1.1398 | 0.5556 | 1.1398 | 1.0676 |
| No log | 0.5753 | 42 | 1.1428 | 0.5312 | 1.1428 | 1.0690 |
| No log | 0.6027 | 44 | 1.7016 | 0.3167 | 1.7016 | 1.3045 |
| No log | 0.6301 | 46 | 1.6571 | 0.3471 | 1.6571 | 1.2873 |
| No log | 0.6575 | 48 | 1.1821 | 0.5303 | 1.1821 | 1.0873 |
| No log | 0.6849 | 50 | 1.1517 | 0.5481 | 1.1517 | 1.0732 |
| No log | 0.7123 | 52 | 1.0478 | 0.6119 | 1.0478 | 1.0236 |
| No log | 0.7397 | 54 | 1.2679 | 0.5649 | 1.2679 | 1.1260 |
| No log | 0.7671 | 56 | 1.2914 | 0.5197 | 1.2914 | 1.1364 |
| No log | 0.7945 | 58 | 1.3278 | 0.3871 | 1.3278 | 1.1523 |
| No log | 0.8219 | 60 | 1.7051 | 0.4380 | 1.7051 | 1.3058 |
| No log | 0.8493 | 62 | 1.6260 | 0.4265 | 1.6260 | 1.2751 |
| No log | 0.8767 | 64 | 1.2046 | 0.3478 | 1.2046 | 1.0976 |
| No log | 0.9041 | 66 | 1.1374 | 0.5669 | 1.1374 | 1.0665 |
| No log | 0.9315 | 68 | 1.1177 | 0.5954 | 1.1177 | 1.0572 |
| No log | 0.9589 | 70 | 1.3061 | 0.5294 | 1.3061 | 1.1428 |
| No log | 0.9863 | 72 | 1.2864 | 0.5294 | 1.2864 | 1.1342 |
| No log | 1.0137 | 74 | 0.9919 | 0.6475 | 0.9919 | 0.9959 |
| No log | 1.0411 | 76 | 0.8733 | 0.6993 | 0.8733 | 0.9345 |
| No log | 1.0685 | 78 | 0.8155 | 0.7347 | 0.8155 | 0.9030 |
| No log | 1.0959 | 80 | 0.8477 | 0.6892 | 0.8477 | 0.9207 |
| No log | 1.1233 | 82 | 0.7611 | 0.7297 | 0.7611 | 0.8724 |
| No log | 1.1507 | 84 | 0.7094 | 0.7143 | 0.7094 | 0.8423 |
| No log | 1.1781 | 86 | 0.7211 | 0.7 | 0.7211 | 0.8492 |
| No log | 1.2055 | 88 | 0.7604 | 0.6809 | 0.7604 | 0.8720 |
| No log | 1.2329 | 90 | 0.7188 | 0.7299 | 0.7188 | 0.8478 |
| No log | 1.2603 | 92 | 0.8607 | 0.6901 | 0.8607 | 0.9277 |
| No log | 1.2877 | 94 | 0.8346 | 0.6715 | 0.8346 | 0.9135 |
| No log | 1.3151 | 96 | 0.7222 | 0.7429 | 0.7222 | 0.8498 |
| No log | 1.3425 | 98 | 0.9110 | 0.6618 | 0.9110 | 0.9545 |
| No log | 1.3699 | 100 | 1.1408 | 0.5303 | 1.1408 | 1.0681 |
| No log | 1.3973 | 102 | 1.0023 | 0.6269 | 1.0023 | 1.0012 |
| No log | 1.4247 | 104 | 0.7732 | 0.6950 | 0.7732 | 0.8793 |
| No log | 1.4521 | 106 | 0.7295 | 0.7101 | 0.7295 | 0.8541 |
| No log | 1.4795 | 108 | 0.7223 | 0.7153 | 0.7223 | 0.8499 |
| No log | 1.5068 | 110 | 0.7749 | 0.6912 | 0.7749 | 0.8803 |
| No log | 1.5342 | 112 | 0.9451 | 0.6087 | 0.9451 | 0.9722 |
| No log | 1.5616 | 114 | 1.0232 | 0.5755 | 1.0232 | 1.0115 |
| No log | 1.5890 | 116 | 0.8088 | 0.6667 | 0.8088 | 0.8993 |
| No log | 1.6164 | 118 | 0.6835 | 0.7947 | 0.6835 | 0.8267 |
| No log | 1.6438 | 120 | 0.7809 | 0.6479 | 0.7809 | 0.8837 |
| No log | 1.6712 | 122 | 0.6720 | 0.7733 | 0.6720 | 0.8197 |
| No log | 1.6986 | 124 | 0.6575 | 0.7534 | 0.6575 | 0.8108 |
| No log | 1.7260 | 126 | 0.9456 | 0.6294 | 0.9456 | 0.9724 |
| No log | 1.7534 | 128 | 1.1491 | 0.5294 | 1.1491 | 1.0720 |
| No log | 1.7808 | 130 | 0.9491 | 0.6803 | 0.9491 | 0.9742 |
| No log | 1.8082 | 132 | 0.7182 | 0.7682 | 0.7182 | 0.8474 |
| No log | 1.8356 | 134 | 0.6909 | 0.7619 | 0.6909 | 0.8312 |
| No log | 1.8630 | 136 | 0.8196 | 0.7034 | 0.8196 | 0.9053 |
| No log | 1.8904 | 138 | 1.0296 | 0.5931 | 1.0296 | 1.0147 |
| No log | 1.9178 | 140 | 0.9796 | 0.6111 | 0.9796 | 0.9897 |
| No log | 1.9452 | 142 | 0.7842 | 0.6980 | 0.7842 | 0.8855 |
| No log | 1.9726 | 144 | 0.6653 | 0.7898 | 0.6653 | 0.8157 |
| No log | 2.0 | 146 | 0.7114 | 0.7792 | 0.7114 | 0.8435 |
| No log | 2.0274 | 148 | 0.7903 | 0.6806 | 0.7903 | 0.8890 |
| No log | 2.0548 | 150 | 0.8936 | 0.6573 | 0.8936 | 0.9453 |
| No log | 2.0822 | 152 | 0.8522 | 0.6479 | 0.8522 | 0.9231 |
| No log | 2.1096 | 154 | 0.7406 | 0.7383 | 0.7406 | 0.8606 |
| No log | 2.1370 | 156 | 0.6350 | 0.7722 | 0.6350 | 0.7969 |
| No log | 2.1644 | 158 | 0.5847 | 0.7848 | 0.5847 | 0.7647 |
| No log | 2.1918 | 160 | 0.5933 | 0.7771 | 0.5933 | 0.7702 |
| No log | 2.2192 | 162 | 0.6861 | 0.7333 | 0.6861 | 0.8283 |
| No log | 2.2466 | 164 | 0.6123 | 0.7692 | 0.6123 | 0.7825 |
| No log | 2.2740 | 166 | 0.5269 | 0.8101 | 0.5269 | 0.7259 |
| No log | 2.3014 | 168 | 0.5405 | 0.8176 | 0.5405 | 0.7352 |
| No log | 2.3288 | 170 | 0.6248 | 0.8075 | 0.6248 | 0.7905 |
| No log | 2.3562 | 172 | 0.7162 | 0.7733 | 0.7162 | 0.8463 |
| No log | 2.3836 | 174 | 0.7041 | 0.7785 | 0.7041 | 0.8391 |
| No log | 2.4110 | 176 | 0.7230 | 0.7733 | 0.7230 | 0.8503 |
| No log | 2.4384 | 178 | 0.7211 | 0.7613 | 0.7211 | 0.8492 |
| No log | 2.4658 | 180 | 0.7449 | 0.7484 | 0.7449 | 0.8631 |
| No log | 2.4932 | 182 | 0.6857 | 0.8075 | 0.6857 | 0.8281 |
| No log | 2.5205 | 184 | 0.5876 | 0.8098 | 0.5876 | 0.7665 |
| No log | 2.5479 | 186 | 0.5422 | 0.8050 | 0.5422 | 0.7364 |
| No log | 2.5753 | 188 | 0.5135 | 0.8171 | 0.5135 | 0.7166 |
| No log | 2.6027 | 190 | 0.5349 | 0.8171 | 0.5349 | 0.7313 |
| No log | 2.6301 | 192 | 0.7738 | 0.7636 | 0.7738 | 0.8797 |
| No log | 2.6575 | 194 | 0.8199 | 0.7239 | 0.8199 | 0.9055 |
| No log | 2.6849 | 196 | 0.5951 | 0.8075 | 0.5951 | 0.7714 |
| No log | 2.7123 | 198 | 0.6109 | 0.7815 | 0.6109 | 0.7816 |
| No log | 2.7397 | 200 | 0.5993 | 0.8 | 0.5993 | 0.7741 |
| No log | 2.7671 | 202 | 0.6037 | 0.8148 | 0.6037 | 0.7770 |
| No log | 2.7945 | 204 | 0.6038 | 0.825 | 0.6038 | 0.7770 |
| No log | 2.8219 | 206 | 0.6223 | 0.7895 | 0.6223 | 0.7889 |
| No log | 2.8493 | 208 | 0.7066 | 0.7383 | 0.7066 | 0.8406 |
| No log | 2.8767 | 210 | 0.7213 | 0.7483 | 0.7213 | 0.8493 |
| No log | 2.9041 | 212 | 0.6289 | 0.7785 | 0.6289 | 0.7931 |
| No log | 2.9315 | 214 | 0.6083 | 0.8258 | 0.6083 | 0.7799 |
| No log | 2.9589 | 216 | 0.7126 | 0.7607 | 0.7126 | 0.8442 |
| No log | 2.9863 | 218 | 0.6582 | 0.8072 | 0.6582 | 0.8113 |
| No log | 3.0137 | 220 | 0.5217 | 0.825 | 0.5217 | 0.7223 |
| No log | 3.0411 | 222 | 0.6605 | 0.7432 | 0.6605 | 0.8127 |
| No log | 3.0685 | 224 | 0.8032 | 0.6849 | 0.8032 | 0.8962 |
| No log | 3.0959 | 226 | 0.6903 | 0.7413 | 0.6903 | 0.8308 |
| No log | 3.1233 | 228 | 0.5233 | 0.8280 | 0.5233 | 0.7234 |
| No log | 3.1507 | 230 | 0.6553 | 0.8075 | 0.6553 | 0.8095 |
| No log | 3.1781 | 232 | 0.7168 | 0.7952 | 0.7168 | 0.8466 |
| No log | 3.2055 | 234 | 0.6312 | 0.8 | 0.6312 | 0.7945 |
| No log | 3.2329 | 236 | 0.6132 | 0.8105 | 0.6132 | 0.7831 |
| No log | 3.2603 | 238 | 0.6012 | 0.7974 | 0.6012 | 0.7754 |
| No log | 3.2877 | 240 | 0.5718 | 0.8 | 0.5718 | 0.7562 |
| No log | 3.3151 | 242 | 0.5427 | 0.8075 | 0.5427 | 0.7367 |
| No log | 3.3425 | 244 | 0.5613 | 0.8176 | 0.5613 | 0.7492 |
| No log | 3.3699 | 246 | 0.5795 | 0.8077 | 0.5795 | 0.7612 |
| No log | 3.3973 | 248 | 0.6018 | 0.7843 | 0.6018 | 0.7758 |
| No log | 3.4247 | 250 | 0.6137 | 0.7682 | 0.6137 | 0.7834 |
| No log | 3.4521 | 252 | 0.6329 | 0.7974 | 0.6329 | 0.7955 |
| No log | 3.4795 | 254 | 0.6627 | 0.8026 | 0.6627 | 0.8141 |
| No log | 3.5068 | 256 | 0.6493 | 0.7947 | 0.6493 | 0.8058 |
| No log | 3.5342 | 258 | 0.6339 | 0.8182 | 0.6339 | 0.7962 |
| No log | 3.5616 | 260 | 0.6422 | 0.7895 | 0.6422 | 0.8014 |
| No log | 3.5890 | 262 | 0.6237 | 0.8026 | 0.6237 | 0.7898 |
| No log | 3.6164 | 264 | 0.6231 | 0.7895 | 0.6231 | 0.7894 |
| No log | 3.6438 | 266 | 0.6553 | 0.76 | 0.6553 | 0.8095 |
| No log | 3.6712 | 268 | 0.6692 | 0.7483 | 0.6692 | 0.8181 |
| No log | 3.6986 | 270 | 0.6702 | 0.7947 | 0.6702 | 0.8187 |
| No log | 3.7260 | 272 | 0.7469 | 0.6883 | 0.7469 | 0.8642 |
| No log | 3.7534 | 274 | 0.6753 | 0.7875 | 0.6753 | 0.8218 |
| No log | 3.7808 | 276 | 0.5386 | 0.8077 | 0.5386 | 0.7339 |
| No log | 3.8082 | 278 | 0.6525 | 0.7848 | 0.6525 | 0.8078 |
| No log | 3.8356 | 280 | 0.8201 | 0.6267 | 0.8201 | 0.9056 |
| No log | 3.8630 | 282 | 0.7912 | 0.6939 | 0.7912 | 0.8895 |
| No log | 3.8904 | 284 | 0.6844 | 0.7871 | 0.6844 | 0.8273 |
| No log | 3.9178 | 286 | 0.6789 | 0.8 | 0.6789 | 0.8240 |
| No log | 3.9452 | 288 | 0.6768 | 0.8 | 0.6768 | 0.8227 |
| No log | 3.9726 | 290 | 0.7593 | 0.7211 | 0.7593 | 0.8714 |
| No log | 4.0 | 292 | 1.0558 | 0.5541 | 1.0558 | 1.0275 |
| No log | 4.0274 | 294 | 1.2961 | 0.5405 | 1.2961 | 1.1385 |
| No log | 4.0548 | 296 | 1.2540 | 0.5442 | 1.2540 | 1.1198 |
| No log | 4.0822 | 298 | 1.0963 | 0.5616 | 1.0963 | 1.0470 |
| No log | 4.1096 | 300 | 0.8816 | 0.6712 | 0.8816 | 0.9390 |
| No log | 4.1370 | 302 | 0.7760 | 0.7383 | 0.7760 | 0.8809 |
| No log | 4.1644 | 304 | 0.7783 | 0.7172 | 0.7783 | 0.8822 |
| No log | 4.1918 | 306 | 0.8100 | 0.7123 | 0.8100 | 0.9000 |
| No log | 4.2192 | 308 | 0.8773 | 0.6571 | 0.8773 | 0.9366 |
| No log | 4.2466 | 310 | 0.8769 | 0.6571 | 0.8769 | 0.9364 |
| No log | 4.2740 | 312 | 0.8306 | 0.7092 | 0.8306 | 0.9114 |
| No log | 4.3014 | 314 | 0.8273 | 0.6667 | 0.8273 | 0.9096 |
| No log | 4.3288 | 316 | 0.7851 | 0.7324 | 0.7851 | 0.8860 |
| No log | 4.3562 | 318 | 0.7485 | 0.7092 | 0.7485 | 0.8651 |
| No log | 4.3836 | 320 | 0.7008 | 0.75 | 0.7008 | 0.8371 |
| No log | 4.4110 | 322 | 0.5845 | 0.76 | 0.5845 | 0.7645 |
| No log | 4.4384 | 324 | 0.5249 | 0.8 | 0.5249 | 0.7245 |
| No log | 4.4658 | 326 | 0.5168 | 0.8 | 0.5168 | 0.7189 |
| No log | 4.4932 | 328 | 0.5405 | 0.7755 | 0.5405 | 0.7352 |
| No log | 4.5205 | 330 | 0.5627 | 0.7586 | 0.5627 | 0.7502 |
| No log | 4.5479 | 332 | 0.6468 | 0.7552 | 0.6468 | 0.8042 |
| No log | 4.5753 | 334 | 0.6926 | 0.7143 | 0.6926 | 0.8322 |
| No log | 4.6027 | 336 | 0.6122 | 0.7606 | 0.6122 | 0.7824 |
| No log | 4.6301 | 338 | 0.5782 | 0.7919 | 0.5782 | 0.7604 |
| No log | 4.6575 | 340 | 0.7068 | 0.7848 | 0.7068 | 0.8407 |
| No log | 4.6849 | 342 | 0.7233 | 0.7564 | 0.7233 | 0.8504 |
| No log | 4.7123 | 344 | 0.6049 | 0.7898 | 0.6049 | 0.7777 |
| No log | 4.7397 | 346 | 0.5422 | 0.7867 | 0.5422 | 0.7364 |
| No log | 4.7671 | 348 | 0.6424 | 0.75 | 0.6424 | 0.8015 |
| No log | 4.7945 | 350 | 0.7166 | 0.7448 | 0.7166 | 0.8465 |
| No log | 4.8219 | 352 | 0.7098 | 0.7413 | 0.7098 | 0.8425 |
| No log | 4.8493 | 354 | 0.6833 | 0.7445 | 0.6833 | 0.8266 |
| No log | 4.8767 | 356 | 0.7077 | 0.7571 | 0.7077 | 0.8413 |
| No log | 4.9041 | 358 | 0.6447 | 0.7552 | 0.6447 | 0.8029 |
| No log | 4.9315 | 360 | 0.5981 | 0.7671 | 0.5981 | 0.7734 |
| No log | 4.9589 | 362 | 0.5545 | 0.7838 | 0.5545 | 0.7446 |
| No log | 4.9863 | 364 | 0.5253 | 0.8 | 0.5253 | 0.7247 |
| No log | 5.0137 | 366 | 0.5314 | 0.7879 | 0.5314 | 0.7290 |
| No log | 5.0411 | 368 | 0.6354 | 0.7826 | 0.6354 | 0.7971 |
| No log | 5.0685 | 370 | 0.6247 | 0.7613 | 0.6247 | 0.7904 |
| No log | 5.0959 | 372 | 0.5664 | 0.7692 | 0.5664 | 0.7526 |
| No log | 5.1233 | 374 | 0.5871 | 0.8052 | 0.5871 | 0.7662 |
| No log | 5.1507 | 376 | 0.6560 | 0.7895 | 0.6560 | 0.8100 |
| No log | 5.1781 | 378 | 0.6784 | 0.7582 | 0.6784 | 0.8236 |
| No log | 5.2055 | 380 | 0.6308 | 0.7821 | 0.6308 | 0.7942 |
| No log | 5.2329 | 382 | 0.6265 | 0.8052 | 0.6265 | 0.7915 |
| No log | 5.2603 | 384 | 0.6216 | 0.7742 | 0.6216 | 0.7884 |
| No log | 5.2877 | 386 | 0.6057 | 0.7843 | 0.6057 | 0.7783 |
| No log | 5.3151 | 388 | 0.6044 | 0.7792 | 0.6044 | 0.7774 |
| No log | 5.3425 | 390 | 0.5927 | 0.8077 | 0.5927 | 0.7699 |
| No log | 5.3699 | 392 | 0.5994 | 0.8025 | 0.5994 | 0.7742 |
| No log | 5.3973 | 394 | 0.5892 | 0.8026 | 0.5892 | 0.7676 |
| No log | 5.4247 | 396 | 0.6084 | 0.7843 | 0.6084 | 0.7800 |
| No log | 5.4521 | 398 | 0.6762 | 0.7568 | 0.6762 | 0.8223 |
| No log | 5.4795 | 400 | 0.6952 | 0.7619 | 0.6952 | 0.8338 |
| No log | 5.5068 | 402 | 0.6973 | 0.7619 | 0.6973 | 0.8351 |
| No log | 5.5342 | 404 | 0.6834 | 0.7682 | 0.6834 | 0.8267 |
| No log | 5.5616 | 406 | 0.6947 | 0.7867 | 0.6947 | 0.8335 |
| No log | 5.5890 | 408 | 0.7080 | 0.7867 | 0.7080 | 0.8414 |
| No log | 5.6164 | 410 | 0.6883 | 0.7682 | 0.6883 | 0.8296 |
| No log | 5.6438 | 412 | 0.7004 | 0.7742 | 0.7004 | 0.8369 |
| No log | 5.6712 | 414 | 0.7972 | 0.7215 | 0.7972 | 0.8929 |
| No log | 5.6986 | 416 | 0.7759 | 0.7595 | 0.7759 | 0.8809 |
| No log | 5.7260 | 418 | 0.6785 | 0.7922 | 0.6785 | 0.8237 |
| No log | 5.7534 | 420 | 0.6459 | 0.7843 | 0.6459 | 0.8037 |
| No log | 5.7808 | 422 | 0.6896 | 0.7901 | 0.6896 | 0.8304 |
| No log | 5.8082 | 424 | 0.7433 | 0.75 | 0.7433 | 0.8621 |
| No log | 5.8356 | 426 | 0.7004 | 0.7898 | 0.7004 | 0.8369 |
| No log | 5.8630 | 428 | 0.6296 | 0.7682 | 0.6296 | 0.7935 |
| No log | 5.8904 | 430 | 0.6418 | 0.7843 | 0.6418 | 0.8011 |
| No log | 5.9178 | 432 | 0.6573 | 0.7730 | 0.6573 | 0.8107 |
| No log | 5.9452 | 434 | 0.5796 | 0.8050 | 0.5796 | 0.7613 |
| No log | 5.9726 | 436 | 0.5471 | 0.8049 | 0.5471 | 0.7397 |
| No log | 6.0 | 438 | 0.6904 | 0.7927 | 0.6904 | 0.8309 |
| No log | 6.0274 | 440 | 0.7915 | 0.7702 | 0.7915 | 0.8897 |
| No log | 6.0548 | 442 | 0.6714 | 0.775 | 0.6714 | 0.8194 |
| No log | 6.0822 | 444 | 0.5868 | 0.8129 | 0.5868 | 0.7660 |
| No log | 6.1096 | 446 | 0.6259 | 0.7843 | 0.6259 | 0.7911 |
| No log | 6.1370 | 448 | 0.6773 | 0.7643 | 0.6773 | 0.8230 |
| No log | 6.1644 | 450 | 0.6834 | 0.7643 | 0.6834 | 0.8267 |
| No log | 6.1918 | 452 | 0.6998 | 0.7564 | 0.6998 | 0.8366 |
| No log | 6.2192 | 454 | 0.7043 | 0.7712 | 0.7043 | 0.8392 |
| No log | 6.2466 | 456 | 0.7105 | 0.7712 | 0.7105 | 0.8429 |
| No log | 6.2740 | 458 | 0.7139 | 0.7383 | 0.7139 | 0.8449 |
| No log | 6.3014 | 460 | 0.7024 | 0.7226 | 0.7024 | 0.8381 |
| No log | 6.3288 | 462 | 0.6602 | 0.7389 | 0.6602 | 0.8125 |
| No log | 6.3562 | 464 | 0.6182 | 0.7875 | 0.6182 | 0.7862 |
| No log | 6.3836 | 466 | 0.6473 | 0.8293 | 0.6473 | 0.8046 |
| No log | 6.4110 | 468 | 0.7314 | 0.7975 | 0.7314 | 0.8552 |
| No log | 6.4384 | 470 | 0.7562 | 0.775 | 0.7562 | 0.8696 |
| No log | 6.4658 | 472 | 0.7018 | 0.8221 | 0.7018 | 0.8377 |
| No log | 6.4932 | 474 | 0.6550 | 0.8176 | 0.6550 | 0.8093 |
| No log | 6.5205 | 476 | 0.6651 | 0.7742 | 0.6651 | 0.8155 |
| No log | 6.5479 | 478 | 0.6550 | 0.7742 | 0.6550 | 0.8093 |
| No log | 6.5753 | 480 | 0.6191 | 0.8125 | 0.6191 | 0.7868 |
| No log | 6.6027 | 482 | 0.6399 | 0.8364 | 0.6399 | 0.7999 |
| No log | 6.6301 | 484 | 0.6885 | 0.7901 | 0.6885 | 0.8297 |
| No log | 6.6575 | 486 | 0.7149 | 0.7771 | 0.7149 | 0.8455 |
| No log | 6.6849 | 488 | 0.6728 | 0.8 | 0.6728 | 0.8202 |
| No log | 6.7123 | 490 | 0.6123 | 0.8077 | 0.6123 | 0.7825 |
| No log | 6.7397 | 492 | 0.5945 | 0.8075 | 0.5945 | 0.7710 |
| No log | 6.7671 | 494 | 0.6629 | 0.7407 | 0.6629 | 0.8142 |
| No log | 6.7945 | 496 | 0.6575 | 0.7735 | 0.6575 | 0.8109 |
| No log | 6.8219 | 498 | 0.6159 | 0.8098 | 0.6159 | 0.7848 |
| 0.3908 | 6.8493 | 500 | 0.6206 | 0.825 | 0.6206 | 0.7878 |
| 0.3908 | 6.8767 | 502 | 0.6367 | 0.825 | 0.6367 | 0.7979 |
| 0.3908 | 6.9041 | 504 | 0.6418 | 0.8079 | 0.6418 | 0.8012 |
| 0.3908 | 6.9315 | 506 | 0.7221 | 0.7361 | 0.7221 | 0.8498 |
| 0.3908 | 6.9589 | 508 | 0.8417 | 0.6950 | 0.8417 | 0.9175 |
| 0.3908 | 6.9863 | 510 | 0.8256 | 0.6950 | 0.8256 | 0.9086 |
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_k16_task1_organization
Base model
aubmindlab/bert-base-arabertv02