Instructions to use MayBashendy/ArabicNewSplits6_FineTuningAraBERT_run1_AugV5_k11_task1_organization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MayBashendy/ArabicNewSplits6_FineTuningAraBERT_run1_AugV5_k11_task1_organization with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="MayBashendy/ArabicNewSplits6_FineTuningAraBERT_run1_AugV5_k11_task1_organization")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("MayBashendy/ArabicNewSplits6_FineTuningAraBERT_run1_AugV5_k11_task1_organization") model = AutoModelForSequenceClassification.from_pretrained("MayBashendy/ArabicNewSplits6_FineTuningAraBERT_run1_AugV5_k11_task1_organization", device_map="auto") - Notebooks
- Google Colab
- Kaggle
ArabicNewSplits6_FineTuningAraBERT_run1_AugV5_k11_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: 0.8772
- Qwk: 0.6168
- Mse: 0.8772
- Rmse: 0.9366
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: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Qwk | Mse | Rmse |
|---|---|---|---|---|---|---|
| No log | 0.0364 | 2 | 5.3378 | -0.0193 | 5.3378 | 2.3104 |
| No log | 0.0727 | 4 | 3.1438 | 0.0658 | 3.1438 | 1.7731 |
| No log | 0.1091 | 6 | 2.1845 | -0.0026 | 2.1845 | 1.4780 |
| No log | 0.1455 | 8 | 1.8954 | 0.0264 | 1.8954 | 1.3767 |
| No log | 0.1818 | 10 | 1.5932 | 0.0320 | 1.5932 | 1.2622 |
| No log | 0.2182 | 12 | 1.6351 | 0.0341 | 1.6351 | 1.2787 |
| No log | 0.2545 | 14 | 1.2982 | 0.1700 | 1.2982 | 1.1394 |
| No log | 0.2909 | 16 | 1.1822 | 0.1445 | 1.1822 | 1.0873 |
| No log | 0.3273 | 18 | 1.2004 | 0.1681 | 1.2004 | 1.0956 |
| No log | 0.3636 | 20 | 1.1309 | 0.1740 | 1.1309 | 1.0634 |
| No log | 0.4 | 22 | 1.0880 | 0.3202 | 1.0880 | 1.0431 |
| No log | 0.4364 | 24 | 1.1461 | 0.3439 | 1.1461 | 1.0706 |
| No log | 0.4727 | 26 | 1.2337 | 0.2441 | 1.2337 | 1.1107 |
| No log | 0.5091 | 28 | 1.1821 | 0.3585 | 1.1821 | 1.0872 |
| No log | 0.5455 | 30 | 1.1893 | 0.3772 | 1.1893 | 1.0906 |
| No log | 0.5818 | 32 | 1.1561 | 0.3553 | 1.1561 | 1.0752 |
| No log | 0.6182 | 34 | 1.1913 | 0.3968 | 1.1913 | 1.0915 |
| No log | 0.6545 | 36 | 1.5611 | 0.3307 | 1.5611 | 1.2494 |
| No log | 0.6909 | 38 | 1.4818 | 0.3669 | 1.4818 | 1.2173 |
| No log | 0.7273 | 40 | 1.2579 | 0.4120 | 1.2579 | 1.1215 |
| No log | 0.7636 | 42 | 1.1256 | 0.3985 | 1.1256 | 1.0610 |
| No log | 0.8 | 44 | 1.0745 | 0.3442 | 1.0745 | 1.0366 |
| No log | 0.8364 | 46 | 1.1252 | 0.2734 | 1.1252 | 1.0607 |
| No log | 0.8727 | 48 | 1.1070 | 0.3666 | 1.1070 | 1.0522 |
| No log | 0.9091 | 50 | 1.0127 | 0.3547 | 1.0127 | 1.0063 |
| No log | 0.9455 | 52 | 1.0945 | 0.4003 | 1.0945 | 1.0462 |
| No log | 0.9818 | 54 | 1.2330 | 0.3607 | 1.2330 | 1.1104 |
| No log | 1.0182 | 56 | 1.5958 | 0.2245 | 1.5958 | 1.2632 |
| No log | 1.0545 | 58 | 1.6905 | 0.2437 | 1.6905 | 1.3002 |
| No log | 1.0909 | 60 | 1.7993 | 0.2399 | 1.7993 | 1.3414 |
| No log | 1.1273 | 62 | 1.4669 | 0.2754 | 1.4669 | 1.2111 |
| No log | 1.1636 | 64 | 1.0585 | 0.4306 | 1.0585 | 1.0288 |
| No log | 1.2 | 66 | 0.9545 | 0.4208 | 0.9545 | 0.9770 |
| No log | 1.2364 | 68 | 0.9726 | 0.4040 | 0.9726 | 0.9862 |
| No log | 1.2727 | 70 | 0.9553 | 0.4073 | 0.9553 | 0.9774 |
| No log | 1.3091 | 72 | 0.9131 | 0.4177 | 0.9131 | 0.9556 |
| No log | 1.3455 | 74 | 0.9002 | 0.4528 | 0.9002 | 0.9488 |
| No log | 1.3818 | 76 | 0.8594 | 0.4799 | 0.8594 | 0.9270 |
| No log | 1.4182 | 78 | 0.8258 | 0.5117 | 0.8258 | 0.9088 |
| No log | 1.4545 | 80 | 0.9147 | 0.4892 | 0.9147 | 0.9564 |
| No log | 1.4909 | 82 | 1.0884 | 0.3634 | 1.0884 | 1.0433 |
| No log | 1.5273 | 84 | 1.0696 | 0.3879 | 1.0696 | 1.0342 |
| No log | 1.5636 | 86 | 0.9266 | 0.5002 | 0.9266 | 0.9626 |
| No log | 1.6 | 88 | 0.8471 | 0.5418 | 0.8471 | 0.9204 |
| No log | 1.6364 | 90 | 0.9581 | 0.5079 | 0.9581 | 0.9789 |
| No log | 1.6727 | 92 | 0.9742 | 0.5246 | 0.9742 | 0.9870 |
| No log | 1.7091 | 94 | 0.8563 | 0.6092 | 0.8563 | 0.9254 |
| No log | 1.7455 | 96 | 0.7725 | 0.6331 | 0.7725 | 0.8789 |
| No log | 1.7818 | 98 | 0.7247 | 0.6202 | 0.7247 | 0.8513 |
| No log | 1.8182 | 100 | 0.7117 | 0.6387 | 0.7117 | 0.8436 |
| No log | 1.8545 | 102 | 0.7059 | 0.6438 | 0.7059 | 0.8402 |
| No log | 1.8909 | 104 | 0.7059 | 0.6493 | 0.7059 | 0.8402 |
| No log | 1.9273 | 106 | 0.7434 | 0.6196 | 0.7434 | 0.8622 |
| No log | 1.9636 | 108 | 0.8196 | 0.6143 | 0.8196 | 0.9053 |
| No log | 2.0 | 110 | 0.8285 | 0.6059 | 0.8285 | 0.9102 |
| No log | 2.0364 | 112 | 0.7707 | 0.5534 | 0.7707 | 0.8779 |
| No log | 2.0727 | 114 | 0.7586 | 0.5259 | 0.7586 | 0.8710 |
| No log | 2.1091 | 116 | 0.8539 | 0.5151 | 0.8539 | 0.9241 |
| No log | 2.1455 | 118 | 0.9317 | 0.5687 | 0.9317 | 0.9653 |
| No log | 2.1818 | 120 | 0.9410 | 0.6201 | 0.9410 | 0.9701 |
| No log | 2.2182 | 122 | 0.8892 | 0.5937 | 0.8892 | 0.9430 |
| No log | 2.2545 | 124 | 0.8410 | 0.5873 | 0.8410 | 0.9170 |
| No log | 2.2909 | 126 | 0.8414 | 0.6028 | 0.8414 | 0.9173 |
| No log | 2.3273 | 128 | 0.8523 | 0.5727 | 0.8523 | 0.9232 |
| No log | 2.3636 | 130 | 0.9077 | 0.5841 | 0.9077 | 0.9527 |
| No log | 2.4 | 132 | 0.9911 | 0.5354 | 0.9911 | 0.9955 |
| No log | 2.4364 | 134 | 1.0162 | 0.5302 | 1.0162 | 1.0081 |
| No log | 2.4727 | 136 | 0.9816 | 0.5302 | 0.9816 | 0.9908 |
| No log | 2.5091 | 138 | 0.9414 | 0.5456 | 0.9414 | 0.9702 |
| No log | 2.5455 | 140 | 0.8831 | 0.6093 | 0.8831 | 0.9398 |
| No log | 2.5818 | 142 | 0.8606 | 0.5448 | 0.8606 | 0.9277 |
| No log | 2.6182 | 144 | 0.8385 | 0.5568 | 0.8385 | 0.9157 |
| No log | 2.6545 | 146 | 0.8026 | 0.6249 | 0.8026 | 0.8959 |
| No log | 2.6909 | 148 | 0.7972 | 0.6606 | 0.7972 | 0.8928 |
| No log | 2.7273 | 150 | 0.7637 | 0.6467 | 0.7637 | 0.8739 |
| No log | 2.7636 | 152 | 0.7405 | 0.6663 | 0.7405 | 0.8605 |
| No log | 2.8 | 154 | 0.7668 | 0.6366 | 0.7668 | 0.8757 |
| No log | 2.8364 | 156 | 0.8604 | 0.6125 | 0.8604 | 0.9276 |
| No log | 2.8727 | 158 | 0.9291 | 0.5961 | 0.9291 | 0.9639 |
| No log | 2.9091 | 160 | 0.8871 | 0.6204 | 0.8871 | 0.9419 |
| No log | 2.9455 | 162 | 0.8487 | 0.6093 | 0.8487 | 0.9212 |
| No log | 2.9818 | 164 | 0.7691 | 0.6475 | 0.7691 | 0.8770 |
| No log | 3.0182 | 166 | 0.7192 | 0.6861 | 0.7192 | 0.8480 |
| No log | 3.0545 | 168 | 0.7072 | 0.7198 | 0.7072 | 0.8410 |
| No log | 3.0909 | 170 | 0.7223 | 0.7146 | 0.7223 | 0.8499 |
| No log | 3.1273 | 172 | 0.7703 | 0.6595 | 0.7703 | 0.8777 |
| No log | 3.1636 | 174 | 0.8139 | 0.6187 | 0.8139 | 0.9022 |
| No log | 3.2 | 176 | 0.8317 | 0.6051 | 0.8317 | 0.9120 |
| No log | 3.2364 | 178 | 0.8828 | 0.6061 | 0.8828 | 0.9396 |
| No log | 3.2727 | 180 | 0.8817 | 0.6054 | 0.8817 | 0.9390 |
| No log | 3.3091 | 182 | 0.8642 | 0.5955 | 0.8642 | 0.9296 |
| No log | 3.3455 | 184 | 0.8422 | 0.6269 | 0.8422 | 0.9177 |
| No log | 3.3818 | 186 | 0.8558 | 0.6397 | 0.8558 | 0.9251 |
| No log | 3.4182 | 188 | 0.8877 | 0.6397 | 0.8877 | 0.9422 |
| No log | 3.4545 | 190 | 0.9604 | 0.6067 | 0.9604 | 0.9800 |
| No log | 3.4909 | 192 | 1.0654 | 0.5674 | 1.0654 | 1.0322 |
| No log | 3.5273 | 194 | 1.0699 | 0.5742 | 1.0699 | 1.0344 |
| No log | 3.5636 | 196 | 0.9917 | 0.5785 | 0.9917 | 0.9958 |
| No log | 3.6 | 198 | 0.8423 | 0.6142 | 0.8423 | 0.9178 |
| No log | 3.6364 | 200 | 0.7247 | 0.6566 | 0.7247 | 0.8513 |
| No log | 3.6727 | 202 | 0.7047 | 0.6475 | 0.7047 | 0.8395 |
| No log | 3.7091 | 204 | 0.7028 | 0.6623 | 0.7028 | 0.8383 |
| No log | 3.7455 | 206 | 0.7296 | 0.6338 | 0.7296 | 0.8542 |
| No log | 3.7818 | 208 | 0.7218 | 0.6636 | 0.7218 | 0.8496 |
| No log | 3.8182 | 210 | 0.7747 | 0.6487 | 0.7747 | 0.8802 |
| No log | 3.8545 | 212 | 0.8372 | 0.6082 | 0.8372 | 0.9150 |
| No log | 3.8909 | 214 | 0.9235 | 0.5710 | 0.9235 | 0.9610 |
| No log | 3.9273 | 216 | 0.9890 | 0.5556 | 0.9890 | 0.9945 |
| No log | 3.9636 | 218 | 0.9660 | 0.5656 | 0.9660 | 0.9829 |
| No log | 4.0 | 220 | 0.8642 | 0.5705 | 0.8642 | 0.9296 |
| No log | 4.0364 | 222 | 0.7626 | 0.6482 | 0.7626 | 0.8733 |
| No log | 4.0727 | 224 | 0.7227 | 0.6804 | 0.7227 | 0.8501 |
| No log | 4.1091 | 226 | 0.7138 | 0.6846 | 0.7138 | 0.8449 |
| No log | 4.1455 | 228 | 0.7303 | 0.6827 | 0.7303 | 0.8546 |
| No log | 4.1818 | 230 | 0.7413 | 0.6575 | 0.7413 | 0.8610 |
| No log | 4.2182 | 232 | 0.7792 | 0.6473 | 0.7792 | 0.8827 |
| No log | 4.2545 | 234 | 0.8363 | 0.5973 | 0.8363 | 0.9145 |
| No log | 4.2909 | 236 | 0.8941 | 0.5893 | 0.8941 | 0.9456 |
| No log | 4.3273 | 238 | 0.9843 | 0.5774 | 0.9843 | 0.9921 |
| No log | 4.3636 | 240 | 0.9917 | 0.5721 | 0.9917 | 0.9958 |
| No log | 4.4 | 242 | 0.8870 | 0.5785 | 0.8870 | 0.9418 |
| No log | 4.4364 | 244 | 0.7893 | 0.6575 | 0.7893 | 0.8885 |
| No log | 4.4727 | 246 | 0.7449 | 0.6671 | 0.7449 | 0.8631 |
| No log | 4.5091 | 248 | 0.7378 | 0.6747 | 0.7378 | 0.8589 |
| No log | 4.5455 | 250 | 0.7478 | 0.6663 | 0.7478 | 0.8647 |
| No log | 4.5818 | 252 | 0.8051 | 0.6500 | 0.8051 | 0.8973 |
| No log | 4.6182 | 254 | 0.8476 | 0.6151 | 0.8476 | 0.9206 |
| No log | 4.6545 | 256 | 0.9069 | 0.5698 | 0.9069 | 0.9523 |
| No log | 4.6909 | 258 | 0.9463 | 0.5998 | 0.9463 | 0.9728 |
| No log | 4.7273 | 260 | 0.9908 | 0.6104 | 0.9908 | 0.9954 |
| No log | 4.7636 | 262 | 1.0491 | 0.5777 | 1.0491 | 1.0243 |
| No log | 4.8 | 264 | 1.1351 | 0.5483 | 1.1351 | 1.0654 |
| No log | 4.8364 | 266 | 1.2018 | 0.5222 | 1.2018 | 1.0962 |
| No log | 4.8727 | 268 | 1.2209 | 0.5252 | 1.2209 | 1.1049 |
| No log | 4.9091 | 270 | 1.2027 | 0.5286 | 1.2027 | 1.0967 |
| No log | 4.9455 | 272 | 1.1323 | 0.5390 | 1.1323 | 1.0641 |
| No log | 4.9818 | 274 | 1.0284 | 0.5495 | 1.0284 | 1.0141 |
| No log | 5.0182 | 276 | 0.9071 | 0.5944 | 0.9071 | 0.9524 |
| No log | 5.0545 | 278 | 0.8279 | 0.6767 | 0.8279 | 0.9099 |
| No log | 5.0909 | 280 | 0.7770 | 0.6562 | 0.7770 | 0.8815 |
| No log | 5.1273 | 282 | 0.7601 | 0.6456 | 0.7601 | 0.8719 |
| No log | 5.1636 | 284 | 0.7688 | 0.6571 | 0.7688 | 0.8768 |
| No log | 5.2 | 286 | 0.7926 | 0.6361 | 0.7926 | 0.8903 |
| No log | 5.2364 | 288 | 0.8442 | 0.6242 | 0.8442 | 0.9188 |
| No log | 5.2727 | 290 | 0.9090 | 0.5739 | 0.9090 | 0.9534 |
| No log | 5.3091 | 292 | 0.9183 | 0.5762 | 0.9183 | 0.9583 |
| No log | 5.3455 | 294 | 0.8796 | 0.6225 | 0.8796 | 0.9379 |
| No log | 5.3818 | 296 | 0.8553 | 0.6067 | 0.8553 | 0.9248 |
| No log | 5.4182 | 298 | 0.8597 | 0.6058 | 0.8597 | 0.9272 |
| No log | 5.4545 | 300 | 0.8444 | 0.6094 | 0.8444 | 0.9189 |
| No log | 5.4909 | 302 | 0.8670 | 0.5926 | 0.8670 | 0.9311 |
| No log | 5.5273 | 304 | 0.8743 | 0.5912 | 0.8743 | 0.9350 |
| No log | 5.5636 | 306 | 0.8985 | 0.5678 | 0.8985 | 0.9479 |
| No log | 5.6 | 308 | 0.8884 | 0.5718 | 0.8884 | 0.9426 |
| No log | 5.6364 | 310 | 0.8576 | 0.5780 | 0.8576 | 0.9261 |
| No log | 5.6727 | 312 | 0.8199 | 0.5768 | 0.8199 | 0.9055 |
| No log | 5.7091 | 314 | 0.7870 | 0.5974 | 0.7870 | 0.8871 |
| No log | 5.7455 | 316 | 0.8109 | 0.5919 | 0.8109 | 0.9005 |
| No log | 5.7818 | 318 | 0.8449 | 0.5768 | 0.8449 | 0.9192 |
| No log | 5.8182 | 320 | 0.8973 | 0.5706 | 0.8973 | 0.9473 |
| No log | 5.8545 | 322 | 0.9126 | 0.5617 | 0.9126 | 0.9553 |
| No log | 5.8909 | 324 | 0.8525 | 0.5733 | 0.8525 | 0.9233 |
| No log | 5.9273 | 326 | 0.7959 | 0.6110 | 0.7959 | 0.8921 |
| No log | 5.9636 | 328 | 0.7869 | 0.6246 | 0.7869 | 0.8871 |
| No log | 6.0 | 330 | 0.8073 | 0.6071 | 0.8073 | 0.8985 |
| No log | 6.0364 | 332 | 0.8212 | 0.6043 | 0.8212 | 0.9062 |
| No log | 6.0727 | 334 | 0.8375 | 0.6068 | 0.8375 | 0.9151 |
| No log | 6.1091 | 336 | 0.8494 | 0.6224 | 0.8494 | 0.9216 |
| No log | 6.1455 | 338 | 0.8509 | 0.6210 | 0.8509 | 0.9224 |
| No log | 6.1818 | 340 | 0.8512 | 0.6114 | 0.8512 | 0.9226 |
| No log | 6.2182 | 342 | 0.8826 | 0.6056 | 0.8826 | 0.9394 |
| No log | 6.2545 | 344 | 0.9362 | 0.5969 | 0.9362 | 0.9676 |
| No log | 6.2909 | 346 | 0.9534 | 0.5956 | 0.9534 | 0.9764 |
| No log | 6.3273 | 348 | 0.9465 | 0.5874 | 0.9465 | 0.9729 |
| No log | 6.3636 | 350 | 0.9037 | 0.5837 | 0.9037 | 0.9506 |
| No log | 6.4 | 352 | 0.8743 | 0.5958 | 0.8743 | 0.9350 |
| No log | 6.4364 | 354 | 0.8651 | 0.6059 | 0.8651 | 0.9301 |
| No log | 6.4727 | 356 | 0.8710 | 0.6059 | 0.8710 | 0.9333 |
| No log | 6.5091 | 358 | 0.8614 | 0.6073 | 0.8614 | 0.9281 |
| No log | 6.5455 | 360 | 0.8726 | 0.6107 | 0.8726 | 0.9341 |
| No log | 6.5818 | 362 | 0.8832 | 0.5932 | 0.8832 | 0.9398 |
| No log | 6.6182 | 364 | 0.8850 | 0.5797 | 0.8850 | 0.9407 |
| No log | 6.6545 | 366 | 0.8857 | 0.5932 | 0.8857 | 0.9411 |
| No log | 6.6909 | 368 | 0.8621 | 0.6073 | 0.8621 | 0.9285 |
| No log | 6.7273 | 370 | 0.8575 | 0.6063 | 0.8575 | 0.9260 |
| No log | 6.7636 | 372 | 0.8724 | 0.6045 | 0.8724 | 0.9340 |
| No log | 6.8 | 374 | 0.8842 | 0.5923 | 0.8842 | 0.9403 |
| No log | 6.8364 | 376 | 0.8872 | 0.5923 | 0.8872 | 0.9419 |
| No log | 6.8727 | 378 | 0.8821 | 0.5910 | 0.8821 | 0.9392 |
| No log | 6.9091 | 380 | 0.8725 | 0.5923 | 0.8725 | 0.9341 |
| No log | 6.9455 | 382 | 0.8732 | 0.6002 | 0.8732 | 0.9344 |
| No log | 6.9818 | 384 | 0.8446 | 0.6235 | 0.8446 | 0.9190 |
| No log | 7.0182 | 386 | 0.8284 | 0.6273 | 0.8284 | 0.9102 |
| No log | 7.0545 | 388 | 0.8250 | 0.6244 | 0.8250 | 0.9083 |
| No log | 7.0909 | 390 | 0.8124 | 0.6238 | 0.8124 | 0.9014 |
| No log | 7.1273 | 392 | 0.7891 | 0.6381 | 0.7891 | 0.8883 |
| No log | 7.1636 | 394 | 0.7721 | 0.6201 | 0.7721 | 0.8787 |
| No log | 7.2 | 396 | 0.7939 | 0.6370 | 0.7939 | 0.8910 |
| No log | 7.2364 | 398 | 0.8467 | 0.6403 | 0.8467 | 0.9202 |
| No log | 7.2727 | 400 | 0.8908 | 0.6381 | 0.8908 | 0.9438 |
| No log | 7.3091 | 402 | 0.9031 | 0.6094 | 0.9031 | 0.9503 |
| No log | 7.3455 | 404 | 0.9296 | 0.6094 | 0.9296 | 0.9642 |
| No log | 7.3818 | 406 | 0.9277 | 0.6123 | 0.9277 | 0.9632 |
| No log | 7.4182 | 408 | 0.9003 | 0.6136 | 0.9003 | 0.9489 |
| No log | 7.4545 | 410 | 0.8961 | 0.6144 | 0.8961 | 0.9466 |
| No log | 7.4909 | 412 | 0.9108 | 0.6233 | 0.9108 | 0.9544 |
| No log | 7.5273 | 414 | 0.9012 | 0.6276 | 0.9012 | 0.9493 |
| No log | 7.5636 | 416 | 0.9124 | 0.6288 | 0.9124 | 0.9552 |
| No log | 7.6 | 418 | 0.9280 | 0.6223 | 0.9280 | 0.9633 |
| No log | 7.6364 | 420 | 0.9197 | 0.5999 | 0.9197 | 0.9590 |
| No log | 7.6727 | 422 | 0.9069 | 0.6050 | 0.9069 | 0.9523 |
| No log | 7.7091 | 424 | 0.8909 | 0.5976 | 0.8909 | 0.9439 |
| No log | 7.7455 | 426 | 0.8760 | 0.5840 | 0.8760 | 0.9360 |
| No log | 7.7818 | 428 | 0.8550 | 0.5979 | 0.8550 | 0.9246 |
| No log | 7.8182 | 430 | 0.8345 | 0.6186 | 0.8345 | 0.9135 |
| No log | 7.8545 | 432 | 0.8319 | 0.6039 | 0.8319 | 0.9121 |
| No log | 7.8909 | 434 | 0.8310 | 0.5948 | 0.8310 | 0.9116 |
| No log | 7.9273 | 436 | 0.8516 | 0.5990 | 0.8516 | 0.9228 |
| No log | 7.9636 | 438 | 0.8985 | 0.5830 | 0.8985 | 0.9479 |
| No log | 8.0 | 440 | 0.9537 | 0.5658 | 0.9537 | 0.9766 |
| No log | 8.0364 | 442 | 0.9717 | 0.5879 | 0.9717 | 0.9858 |
| No log | 8.0727 | 444 | 0.9635 | 0.5881 | 0.9635 | 0.9816 |
| No log | 8.1091 | 446 | 0.9578 | 0.6155 | 0.9578 | 0.9787 |
| No log | 8.1455 | 448 | 0.9463 | 0.6132 | 0.9463 | 0.9728 |
| No log | 8.1818 | 450 | 0.9420 | 0.5888 | 0.9420 | 0.9706 |
| No log | 8.2182 | 452 | 0.9504 | 0.5749 | 0.9504 | 0.9749 |
| No log | 8.2545 | 454 | 0.9522 | 0.5679 | 0.9522 | 0.9758 |
| No log | 8.2909 | 456 | 0.9507 | 0.5580 | 0.9507 | 0.9750 |
| No log | 8.3273 | 458 | 0.9482 | 0.5429 | 0.9482 | 0.9738 |
| No log | 8.3636 | 460 | 0.9506 | 0.5440 | 0.9506 | 0.9750 |
| No log | 8.4 | 462 | 0.9425 | 0.5544 | 0.9425 | 0.9708 |
| No log | 8.4364 | 464 | 0.9298 | 0.5544 | 0.9298 | 0.9643 |
| No log | 8.4727 | 466 | 0.9094 | 0.5544 | 0.9094 | 0.9536 |
| No log | 8.5091 | 468 | 0.8880 | 0.5544 | 0.8880 | 0.9423 |
| No log | 8.5455 | 470 | 0.8596 | 0.5582 | 0.8596 | 0.9272 |
| No log | 8.5818 | 472 | 0.8496 | 0.6036 | 0.8496 | 0.9218 |
| No log | 8.6182 | 474 | 0.8444 | 0.6339 | 0.8444 | 0.9189 |
| No log | 8.6545 | 476 | 0.8556 | 0.6345 | 0.8556 | 0.9250 |
| No log | 8.6909 | 478 | 0.8832 | 0.6079 | 0.8832 | 0.9398 |
| No log | 8.7273 | 480 | 0.9227 | 0.6076 | 0.9227 | 0.9606 |
| No log | 8.7636 | 482 | 0.9452 | 0.6037 | 0.9452 | 0.9722 |
| No log | 8.8 | 484 | 0.9367 | 0.6149 | 0.9367 | 0.9678 |
| No log | 8.8364 | 486 | 0.9174 | 0.6162 | 0.9174 | 0.9578 |
| No log | 8.8727 | 488 | 0.8943 | 0.6175 | 0.8943 | 0.9457 |
| No log | 8.9091 | 490 | 0.8665 | 0.6079 | 0.8665 | 0.9309 |
| No log | 8.9455 | 492 | 0.8456 | 0.6391 | 0.8456 | 0.9195 |
| No log | 8.9818 | 494 | 0.8412 | 0.6406 | 0.8412 | 0.9172 |
| No log | 9.0182 | 496 | 0.8365 | 0.6406 | 0.8365 | 0.9146 |
| No log | 9.0545 | 498 | 0.8460 | 0.6473 | 0.8460 | 0.9198 |
| 0.4503 | 9.0909 | 500 | 0.8634 | 0.6345 | 0.8634 | 0.9292 |
| 0.4503 | 9.1273 | 502 | 0.8833 | 0.6003 | 0.8833 | 0.9398 |
| 0.4503 | 9.1636 | 504 | 0.8939 | 0.5917 | 0.8939 | 0.9454 |
| 0.4503 | 9.2 | 506 | 0.8961 | 0.5917 | 0.8961 | 0.9466 |
| 0.4503 | 9.2364 | 508 | 0.8996 | 0.5917 | 0.8996 | 0.9485 |
| 0.4503 | 9.2727 | 510 | 0.8877 | 0.5917 | 0.8877 | 0.9422 |
| 0.4503 | 9.3091 | 512 | 0.8760 | 0.6092 | 0.8760 | 0.9360 |
| 0.4503 | 9.3455 | 514 | 0.8682 | 0.6187 | 0.8682 | 0.9317 |
| 0.4503 | 9.3818 | 516 | 0.8645 | 0.6187 | 0.8645 | 0.9298 |
| 0.4503 | 9.4182 | 518 | 0.8627 | 0.6187 | 0.8627 | 0.9288 |
| 0.4503 | 9.4545 | 520 | 0.8652 | 0.6187 | 0.8652 | 0.9302 |
| 0.4503 | 9.4909 | 522 | 0.8670 | 0.6142 | 0.8670 | 0.9311 |
| 0.4503 | 9.5273 | 524 | 0.8613 | 0.6142 | 0.8613 | 0.9281 |
| 0.4503 | 9.5636 | 526 | 0.8553 | 0.6218 | 0.8553 | 0.9248 |
| 0.4503 | 9.6 | 528 | 0.8558 | 0.6263 | 0.8558 | 0.9251 |
| 0.4503 | 9.6364 | 530 | 0.8600 | 0.6168 | 0.8600 | 0.9274 |
| 0.4503 | 9.6727 | 532 | 0.8645 | 0.6168 | 0.8645 | 0.9298 |
| 0.4503 | 9.7091 | 534 | 0.8702 | 0.6168 | 0.8702 | 0.9329 |
| 0.4503 | 9.7455 | 536 | 0.8749 | 0.6168 | 0.8749 | 0.9354 |
| 0.4503 | 9.7818 | 538 | 0.8766 | 0.6168 | 0.8766 | 0.9363 |
| 0.4503 | 9.8182 | 540 | 0.8759 | 0.6168 | 0.8759 | 0.9359 |
| 0.4503 | 9.8545 | 542 | 0.8766 | 0.6168 | 0.8766 | 0.9363 |
| 0.4503 | 9.8909 | 544 | 0.8759 | 0.6168 | 0.8759 | 0.9359 |
| 0.4503 | 9.9273 | 546 | 0.8766 | 0.6168 | 0.8766 | 0.9363 |
| 0.4503 | 9.9636 | 548 | 0.8769 | 0.6168 | 0.8769 | 0.9365 |
| 0.4503 | 10.0 | 550 | 0.8772 | 0.6168 | 0.8772 | 0.9366 |
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/ArabicNewSplits6_FineTuningAraBERT_run1_AugV5_k11_task1_organization
Base model
aubmindlab/bert-base-arabertv02