Instructions to use MayBashendy/ArabicNewSplits8_usingALLEssays_FineTuningAraBERT_run1_AugV5_k16_task1_organization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MayBashendy/ArabicNewSplits8_usingALLEssays_FineTuningAraBERT_run1_AugV5_k16_task1_organization with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="MayBashendy/ArabicNewSplits8_usingALLEssays_FineTuningAraBERT_run1_AugV5_k16_task1_organization")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("MayBashendy/ArabicNewSplits8_usingALLEssays_FineTuningAraBERT_run1_AugV5_k16_task1_organization") model = AutoModelForSequenceClassification.from_pretrained("MayBashendy/ArabicNewSplits8_usingALLEssays_FineTuningAraBERT_run1_AugV5_k16_task1_organization", device_map="auto") - Notebooks
- Google Colab
- Kaggle
ArabicNewSplits8_usingALLEssays_FineTuningAraBERT_run1_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: 0.8035
- Qwk: 0.6572
- Mse: 0.8035
- Rmse: 0.8964
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 | 0.025 | 2 | 5.4649 | -0.0128 | 5.4649 | 2.3377 |
| No log | 0.05 | 4 | 3.2387 | 0.0639 | 3.2387 | 1.7996 |
| No log | 0.075 | 6 | 2.0832 | 0.1250 | 2.0832 | 1.4433 |
| No log | 0.1 | 8 | 1.9833 | 0.0176 | 1.9833 | 1.4083 |
| No log | 0.125 | 10 | 1.5524 | 0.0235 | 1.5524 | 1.2459 |
| No log | 0.15 | 12 | 1.2340 | 0.2479 | 1.2340 | 1.1108 |
| No log | 0.175 | 14 | 1.3463 | 0.0794 | 1.3463 | 1.1603 |
| No log | 0.2 | 16 | 1.2583 | 0.1792 | 1.2583 | 1.1217 |
| No log | 0.225 | 18 | 1.2432 | 0.0828 | 1.2432 | 1.1150 |
| No log | 0.25 | 20 | 1.2427 | 0.0738 | 1.2427 | 1.1147 |
| No log | 0.275 | 22 | 1.2553 | 0.1145 | 1.2553 | 1.1204 |
| No log | 0.3 | 24 | 1.2581 | 0.1325 | 1.2581 | 1.1216 |
| No log | 0.325 | 26 | 1.2115 | 0.2016 | 1.2115 | 1.1007 |
| No log | 0.35 | 28 | 1.1368 | 0.2548 | 1.1368 | 1.0662 |
| No log | 0.375 | 30 | 1.0761 | 0.2284 | 1.0761 | 1.0373 |
| No log | 0.4 | 32 | 1.0700 | 0.2251 | 1.0700 | 1.0344 |
| No log | 0.425 | 34 | 1.0757 | 0.3399 | 1.0757 | 1.0371 |
| No log | 0.45 | 36 | 1.0625 | 0.4006 | 1.0625 | 1.0308 |
| No log | 0.475 | 38 | 1.0312 | 0.3076 | 1.0312 | 1.0155 |
| No log | 0.5 | 40 | 1.0411 | 0.3083 | 1.0411 | 1.0204 |
| No log | 0.525 | 42 | 1.0637 | 0.3614 | 1.0637 | 1.0314 |
| No log | 0.55 | 44 | 1.2229 | 0.3106 | 1.2229 | 1.1059 |
| No log | 0.575 | 46 | 1.4320 | 0.2372 | 1.4320 | 1.1967 |
| No log | 0.6 | 48 | 1.6702 | 0.2606 | 1.6702 | 1.2924 |
| No log | 0.625 | 50 | 1.5867 | 0.2793 | 1.5867 | 1.2596 |
| No log | 0.65 | 52 | 1.6982 | 0.2606 | 1.6982 | 1.3031 |
| No log | 0.675 | 54 | 1.6379 | 0.2793 | 1.6379 | 1.2798 |
| No log | 0.7 | 56 | 1.4878 | 0.2738 | 1.4878 | 1.2197 |
| No log | 0.725 | 58 | 1.3186 | 0.2696 | 1.3186 | 1.1483 |
| No log | 0.75 | 60 | 1.2437 | 0.2666 | 1.2437 | 1.1152 |
| No log | 0.775 | 62 | 1.0333 | 0.3824 | 1.0333 | 1.0165 |
| No log | 0.8 | 64 | 0.8869 | 0.4953 | 0.8869 | 0.9418 |
| No log | 0.825 | 66 | 0.9221 | 0.4320 | 0.9221 | 0.9602 |
| No log | 0.85 | 68 | 1.0071 | 0.4001 | 1.0071 | 1.0035 |
| No log | 0.875 | 70 | 1.0602 | 0.3451 | 1.0602 | 1.0296 |
| No log | 0.9 | 72 | 1.0450 | 0.3763 | 1.0450 | 1.0222 |
| No log | 0.925 | 74 | 1.1075 | 0.3389 | 1.1075 | 1.0524 |
| No log | 0.95 | 76 | 1.2508 | 0.2569 | 1.2508 | 1.1184 |
| No log | 0.975 | 78 | 1.3163 | 0.2262 | 1.3163 | 1.1473 |
| No log | 1.0 | 80 | 1.1777 | 0.3192 | 1.1777 | 1.0852 |
| No log | 1.025 | 82 | 1.0307 | 0.3603 | 1.0307 | 1.0153 |
| No log | 1.05 | 84 | 0.8842 | 0.4624 | 0.8842 | 0.9403 |
| No log | 1.075 | 86 | 0.8078 | 0.5342 | 0.8078 | 0.8988 |
| No log | 1.1 | 88 | 0.7544 | 0.5240 | 0.7544 | 0.8686 |
| No log | 1.125 | 90 | 0.7148 | 0.5735 | 0.7148 | 0.8455 |
| No log | 1.15 | 92 | 0.7286 | 0.5642 | 0.7286 | 0.8536 |
| No log | 1.175 | 94 | 0.7772 | 0.5478 | 0.7772 | 0.8816 |
| No log | 1.2 | 96 | 0.8676 | 0.5446 | 0.8676 | 0.9314 |
| No log | 1.225 | 98 | 1.0223 | 0.3846 | 1.0223 | 1.0111 |
| No log | 1.25 | 100 | 0.9039 | 0.5156 | 0.9039 | 0.9507 |
| No log | 1.275 | 102 | 0.7247 | 0.5771 | 0.7247 | 0.8513 |
| No log | 1.3 | 104 | 0.7475 | 0.5813 | 0.7475 | 0.8646 |
| No log | 1.325 | 106 | 0.8453 | 0.5727 | 0.8453 | 0.9194 |
| No log | 1.35 | 108 | 0.9193 | 0.5072 | 0.9193 | 0.9588 |
| No log | 1.375 | 110 | 0.8084 | 0.5821 | 0.8084 | 0.8991 |
| No log | 1.4 | 112 | 0.7540 | 0.6361 | 0.7540 | 0.8684 |
| No log | 1.425 | 114 | 0.8045 | 0.6074 | 0.8045 | 0.8970 |
| No log | 1.45 | 116 | 0.7949 | 0.5989 | 0.7949 | 0.8916 |
| No log | 1.475 | 118 | 0.7204 | 0.6037 | 0.7204 | 0.8487 |
| No log | 1.5 | 120 | 0.7646 | 0.5836 | 0.7646 | 0.8744 |
| No log | 1.525 | 122 | 1.0924 | 0.4908 | 1.0924 | 1.0452 |
| No log | 1.55 | 124 | 1.2331 | 0.4149 | 1.2331 | 1.1105 |
| No log | 1.575 | 126 | 1.0633 | 0.4766 | 1.0633 | 1.0311 |
| No log | 1.6 | 128 | 0.9530 | 0.4766 | 0.9530 | 0.9762 |
| No log | 1.625 | 130 | 1.0587 | 0.4647 | 1.0587 | 1.0289 |
| No log | 1.65 | 132 | 1.2924 | 0.4470 | 1.2924 | 1.1368 |
| No log | 1.675 | 134 | 1.1883 | 0.4830 | 1.1883 | 1.0901 |
| No log | 1.7 | 136 | 0.9907 | 0.5103 | 0.9907 | 0.9954 |
| No log | 1.725 | 138 | 0.8067 | 0.5562 | 0.8067 | 0.8981 |
| No log | 1.75 | 140 | 0.7621 | 0.5735 | 0.7621 | 0.8730 |
| No log | 1.775 | 142 | 0.7679 | 0.5879 | 0.7679 | 0.8763 |
| No log | 1.8 | 144 | 0.7757 | 0.5806 | 0.7757 | 0.8807 |
| No log | 1.825 | 146 | 0.7969 | 0.5750 | 0.7969 | 0.8927 |
| No log | 1.85 | 148 | 0.7617 | 0.6120 | 0.7617 | 0.8727 |
| No log | 1.875 | 150 | 0.7372 | 0.6480 | 0.7372 | 0.8586 |
| No log | 1.9 | 152 | 0.7476 | 0.6333 | 0.7476 | 0.8646 |
| No log | 1.925 | 154 | 0.7635 | 0.6096 | 0.7635 | 0.8738 |
| No log | 1.95 | 156 | 0.7697 | 0.6267 | 0.7697 | 0.8773 |
| No log | 1.975 | 158 | 0.7864 | 0.6287 | 0.7864 | 0.8868 |
| No log | 2.0 | 160 | 0.8766 | 0.6304 | 0.8766 | 0.9363 |
| No log | 2.025 | 162 | 0.8870 | 0.6245 | 0.8870 | 0.9418 |
| No log | 2.05 | 164 | 0.8579 | 0.6249 | 0.8579 | 0.9262 |
| No log | 2.075 | 166 | 0.7933 | 0.6387 | 0.7933 | 0.8907 |
| No log | 2.1 | 168 | 0.7628 | 0.6506 | 0.7628 | 0.8734 |
| No log | 2.125 | 170 | 0.7489 | 0.6391 | 0.7489 | 0.8654 |
| No log | 2.15 | 172 | 0.7383 | 0.6400 | 0.7383 | 0.8593 |
| No log | 2.175 | 174 | 0.7517 | 0.5928 | 0.7517 | 0.8670 |
| No log | 2.2 | 176 | 0.7958 | 0.5597 | 0.7958 | 0.8921 |
| No log | 2.225 | 178 | 0.9252 | 0.5516 | 0.9252 | 0.9619 |
| No log | 2.25 | 180 | 0.9209 | 0.5779 | 0.9209 | 0.9596 |
| No log | 2.275 | 182 | 0.8383 | 0.6140 | 0.8383 | 0.9156 |
| No log | 2.3 | 184 | 0.7569 | 0.6005 | 0.7569 | 0.8700 |
| No log | 2.325 | 186 | 0.7235 | 0.5693 | 0.7235 | 0.8506 |
| No log | 2.35 | 188 | 0.6904 | 0.5854 | 0.6904 | 0.8309 |
| No log | 2.375 | 190 | 0.6846 | 0.6147 | 0.6846 | 0.8274 |
| No log | 2.4 | 192 | 0.6906 | 0.5901 | 0.6906 | 0.8310 |
| No log | 2.425 | 194 | 0.7371 | 0.6223 | 0.7371 | 0.8586 |
| No log | 2.45 | 196 | 0.7359 | 0.6485 | 0.7359 | 0.8579 |
| No log | 2.475 | 198 | 0.7112 | 0.6373 | 0.7112 | 0.8433 |
| No log | 2.5 | 200 | 0.7002 | 0.6109 | 0.7002 | 0.8368 |
| No log | 2.525 | 202 | 0.7331 | 0.5974 | 0.7331 | 0.8562 |
| No log | 2.55 | 204 | 0.8403 | 0.5697 | 0.8403 | 0.9167 |
| No log | 2.575 | 206 | 0.9114 | 0.5723 | 0.9114 | 0.9546 |
| No log | 2.6 | 208 | 0.7800 | 0.6380 | 0.7800 | 0.8832 |
| No log | 2.625 | 210 | 0.7293 | 0.6267 | 0.7293 | 0.8540 |
| No log | 2.65 | 212 | 0.7372 | 0.6172 | 0.7372 | 0.8586 |
| No log | 2.675 | 214 | 0.7497 | 0.5989 | 0.7497 | 0.8659 |
| No log | 2.7 | 216 | 0.7443 | 0.5964 | 0.7443 | 0.8627 |
| No log | 2.725 | 218 | 0.7544 | 0.6027 | 0.7544 | 0.8686 |
| No log | 2.75 | 220 | 0.7999 | 0.6196 | 0.7999 | 0.8944 |
| No log | 2.775 | 222 | 0.9117 | 0.5649 | 0.9117 | 0.9548 |
| No log | 2.8 | 224 | 0.9829 | 0.5274 | 0.9829 | 0.9914 |
| No log | 2.825 | 226 | 1.1068 | 0.5016 | 1.1068 | 1.0520 |
| No log | 2.85 | 228 | 1.1105 | 0.5030 | 1.1105 | 1.0538 |
| No log | 2.875 | 230 | 0.9713 | 0.5770 | 0.9713 | 0.9855 |
| No log | 2.9 | 232 | 0.9465 | 0.5691 | 0.9465 | 0.9729 |
| No log | 2.925 | 234 | 1.0082 | 0.5341 | 1.0082 | 1.0041 |
| No log | 2.95 | 236 | 1.1037 | 0.5171 | 1.1037 | 1.0506 |
| No log | 2.975 | 238 | 0.9547 | 0.5806 | 0.9547 | 0.9771 |
| No log | 3.0 | 240 | 0.7832 | 0.6038 | 0.7832 | 0.8850 |
| No log | 3.025 | 242 | 0.7345 | 0.5911 | 0.7345 | 0.8570 |
| No log | 3.05 | 244 | 0.7213 | 0.6020 | 0.7213 | 0.8493 |
| No log | 3.075 | 246 | 0.7038 | 0.6338 | 0.7038 | 0.8389 |
| No log | 3.1 | 248 | 0.7391 | 0.5739 | 0.7391 | 0.8597 |
| No log | 3.125 | 250 | 0.8631 | 0.5743 | 0.8631 | 0.9290 |
| No log | 3.15 | 252 | 0.8763 | 0.5440 | 0.8763 | 0.9361 |
| No log | 3.175 | 254 | 0.7949 | 0.6075 | 0.7949 | 0.8916 |
| No log | 3.2 | 256 | 0.7243 | 0.6085 | 0.7243 | 0.8511 |
| No log | 3.225 | 258 | 0.7276 | 0.6549 | 0.7276 | 0.8530 |
| No log | 3.25 | 260 | 0.8524 | 0.6030 | 0.8524 | 0.9232 |
| No log | 3.275 | 262 | 0.8895 | 0.5908 | 0.8895 | 0.9431 |
| No log | 3.3 | 264 | 0.9399 | 0.5576 | 0.9399 | 0.9695 |
| No log | 3.325 | 266 | 0.8610 | 0.5983 | 0.8610 | 0.9279 |
| No log | 3.35 | 268 | 0.7495 | 0.6146 | 0.7495 | 0.8657 |
| No log | 3.375 | 270 | 0.7500 | 0.6057 | 0.7500 | 0.8660 |
| No log | 3.4 | 272 | 0.8014 | 0.6200 | 0.8014 | 0.8952 |
| No log | 3.425 | 274 | 0.8743 | 0.5887 | 0.8743 | 0.9350 |
| No log | 3.45 | 276 | 0.9307 | 0.5652 | 0.9307 | 0.9647 |
| No log | 3.475 | 278 | 0.8448 | 0.6003 | 0.8448 | 0.9191 |
| No log | 3.5 | 280 | 0.7857 | 0.5930 | 0.7857 | 0.8864 |
| No log | 3.525 | 282 | 0.8146 | 0.5969 | 0.8146 | 0.9025 |
| No log | 3.55 | 284 | 0.9039 | 0.5487 | 0.9039 | 0.9507 |
| No log | 3.575 | 286 | 0.8990 | 0.5635 | 0.8990 | 0.9482 |
| No log | 3.6 | 288 | 0.9144 | 0.5611 | 0.9144 | 0.9562 |
| No log | 3.625 | 290 | 0.8473 | 0.6032 | 0.8473 | 0.9205 |
| No log | 3.65 | 292 | 0.7752 | 0.6072 | 0.7752 | 0.8805 |
| No log | 3.675 | 294 | 0.7452 | 0.5700 | 0.7452 | 0.8632 |
| No log | 3.7 | 296 | 0.7554 | 0.5544 | 0.7554 | 0.8691 |
| No log | 3.725 | 298 | 0.7480 | 0.5780 | 0.7480 | 0.8649 |
| No log | 3.75 | 300 | 0.8113 | 0.5458 | 0.8113 | 0.9007 |
| No log | 3.775 | 302 | 0.9611 | 0.5595 | 0.9611 | 0.9804 |
| No log | 3.8 | 304 | 0.9870 | 0.5374 | 0.9870 | 0.9935 |
| No log | 3.825 | 306 | 0.8699 | 0.6036 | 0.8699 | 0.9327 |
| No log | 3.85 | 308 | 0.7893 | 0.6343 | 0.7893 | 0.8884 |
| No log | 3.875 | 310 | 0.7933 | 0.6284 | 0.7933 | 0.8907 |
| No log | 3.9 | 312 | 0.7712 | 0.6200 | 0.7712 | 0.8782 |
| No log | 3.925 | 314 | 0.8336 | 0.6279 | 0.8336 | 0.9130 |
| No log | 3.95 | 316 | 0.9446 | 0.5315 | 0.9446 | 0.9719 |
| No log | 3.975 | 318 | 0.9341 | 0.5704 | 0.9341 | 0.9665 |
| No log | 4.0 | 320 | 0.8964 | 0.5622 | 0.8964 | 0.9468 |
| No log | 4.025 | 322 | 0.8253 | 0.5725 | 0.8253 | 0.9085 |
| No log | 4.05 | 324 | 0.8195 | 0.5767 | 0.8195 | 0.9053 |
| No log | 4.075 | 326 | 0.8127 | 0.5846 | 0.8127 | 0.9015 |
| No log | 4.1 | 328 | 0.7753 | 0.6265 | 0.7753 | 0.8805 |
| No log | 4.125 | 330 | 0.7625 | 0.6338 | 0.7625 | 0.8732 |
| No log | 4.15 | 332 | 0.7975 | 0.6355 | 0.7975 | 0.8930 |
| No log | 4.175 | 334 | 0.8379 | 0.6008 | 0.8379 | 0.9154 |
| No log | 4.2 | 336 | 0.8067 | 0.5763 | 0.8067 | 0.8982 |
| No log | 4.225 | 338 | 0.7752 | 0.6284 | 0.7752 | 0.8805 |
| No log | 4.25 | 340 | 0.7568 | 0.6341 | 0.7568 | 0.8699 |
| No log | 4.275 | 342 | 0.7494 | 0.6292 | 0.7494 | 0.8657 |
| No log | 4.3 | 344 | 0.7481 | 0.6583 | 0.7481 | 0.8649 |
| No log | 4.325 | 346 | 0.7444 | 0.6435 | 0.7444 | 0.8628 |
| No log | 4.35 | 348 | 0.7447 | 0.6541 | 0.7447 | 0.8630 |
| No log | 4.375 | 350 | 0.7368 | 0.6228 | 0.7368 | 0.8584 |
| No log | 4.4 | 352 | 0.7123 | 0.6378 | 0.7123 | 0.8440 |
| No log | 4.425 | 354 | 0.7352 | 0.6505 | 0.7352 | 0.8574 |
| No log | 4.45 | 356 | 0.7354 | 0.6565 | 0.7354 | 0.8576 |
| No log | 4.475 | 358 | 0.7270 | 0.6636 | 0.7270 | 0.8527 |
| No log | 4.5 | 360 | 0.7281 | 0.6646 | 0.7281 | 0.8533 |
| No log | 4.525 | 362 | 0.7554 | 0.6617 | 0.7554 | 0.8691 |
| No log | 4.55 | 364 | 0.7155 | 0.6734 | 0.7155 | 0.8459 |
| No log | 4.575 | 366 | 0.6601 | 0.6785 | 0.6601 | 0.8125 |
| No log | 4.6 | 368 | 0.6654 | 0.6809 | 0.6654 | 0.8158 |
| No log | 4.625 | 370 | 0.7206 | 0.6606 | 0.7206 | 0.8489 |
| No log | 4.65 | 372 | 0.7148 | 0.6625 | 0.7148 | 0.8455 |
| No log | 4.675 | 374 | 0.6717 | 0.6774 | 0.6717 | 0.8196 |
| No log | 4.7 | 376 | 0.6527 | 0.6713 | 0.6527 | 0.8079 |
| No log | 4.725 | 378 | 0.6781 | 0.6761 | 0.6781 | 0.8235 |
| No log | 4.75 | 380 | 0.7114 | 0.6645 | 0.7114 | 0.8434 |
| No log | 4.775 | 382 | 0.6924 | 0.6899 | 0.6924 | 0.8321 |
| No log | 4.8 | 384 | 0.6952 | 0.6770 | 0.6952 | 0.8338 |
| No log | 4.825 | 386 | 0.7516 | 0.6715 | 0.7516 | 0.8669 |
| No log | 4.85 | 388 | 0.7880 | 0.6481 | 0.7880 | 0.8877 |
| No log | 4.875 | 390 | 0.8046 | 0.6412 | 0.8046 | 0.8970 |
| No log | 4.9 | 392 | 0.7205 | 0.6719 | 0.7205 | 0.8488 |
| No log | 4.925 | 394 | 0.6702 | 0.6187 | 0.6702 | 0.8187 |
| No log | 4.95 | 396 | 0.6627 | 0.6392 | 0.6627 | 0.8140 |
| No log | 4.975 | 398 | 0.6730 | 0.6757 | 0.6730 | 0.8204 |
| No log | 5.0 | 400 | 0.6900 | 0.6804 | 0.6900 | 0.8307 |
| No log | 5.025 | 402 | 0.7594 | 0.6568 | 0.7594 | 0.8714 |
| No log | 5.05 | 404 | 0.8679 | 0.6398 | 0.8679 | 0.9316 |
| No log | 5.075 | 406 | 0.9857 | 0.6132 | 0.9857 | 0.9928 |
| No log | 5.1 | 408 | 0.9778 | 0.6116 | 0.9778 | 0.9888 |
| No log | 5.125 | 410 | 0.8387 | 0.6290 | 0.8387 | 0.9158 |
| No log | 5.15 | 412 | 0.6730 | 0.6830 | 0.6730 | 0.8204 |
| No log | 5.175 | 414 | 0.6283 | 0.7016 | 0.6283 | 0.7926 |
| No log | 5.2 | 416 | 0.6528 | 0.7101 | 0.6528 | 0.8079 |
| No log | 5.225 | 418 | 0.7680 | 0.6612 | 0.7680 | 0.8763 |
| No log | 5.25 | 420 | 0.9129 | 0.6112 | 0.9129 | 0.9554 |
| No log | 5.275 | 422 | 0.9490 | 0.5979 | 0.9490 | 0.9742 |
| No log | 5.3 | 424 | 1.0104 | 0.5879 | 1.0104 | 1.0052 |
| No log | 5.325 | 426 | 1.0474 | 0.5438 | 1.0474 | 1.0234 |
| No log | 5.35 | 428 | 1.0146 | 0.5363 | 1.0146 | 1.0072 |
| No log | 5.375 | 430 | 0.9064 | 0.5940 | 0.9064 | 0.9521 |
| No log | 5.4 | 432 | 0.7884 | 0.5878 | 0.7884 | 0.8879 |
| No log | 5.425 | 434 | 0.7547 | 0.5897 | 0.7547 | 0.8687 |
| No log | 5.45 | 436 | 0.7453 | 0.6017 | 0.7453 | 0.8633 |
| No log | 5.475 | 438 | 0.7313 | 0.6263 | 0.7313 | 0.8551 |
| No log | 5.5 | 440 | 0.7490 | 0.6443 | 0.7490 | 0.8654 |
| No log | 5.525 | 442 | 0.8162 | 0.6376 | 0.8162 | 0.9034 |
| No log | 5.55 | 444 | 0.9052 | 0.5989 | 0.9052 | 0.9514 |
| No log | 5.575 | 446 | 0.9404 | 0.5975 | 0.9404 | 0.9697 |
| No log | 5.6 | 448 | 1.0740 | 0.5601 | 1.0740 | 1.0363 |
| No log | 5.625 | 450 | 1.1059 | 0.5471 | 1.1059 | 1.0516 |
| No log | 5.65 | 452 | 1.0444 | 0.5445 | 1.0444 | 1.0220 |
| No log | 5.675 | 454 | 1.0209 | 0.5623 | 1.0209 | 1.0104 |
| No log | 5.7 | 456 | 0.9581 | 0.5707 | 0.9581 | 0.9788 |
| No log | 5.725 | 458 | 0.9305 | 0.5834 | 0.9305 | 0.9646 |
| No log | 5.75 | 460 | 0.8714 | 0.5757 | 0.8714 | 0.9335 |
| No log | 5.775 | 462 | 0.8095 | 0.6308 | 0.8095 | 0.8997 |
| No log | 5.8 | 464 | 0.8239 | 0.6039 | 0.8239 | 0.9077 |
| No log | 5.825 | 466 | 0.9033 | 0.6182 | 0.9033 | 0.9504 |
| No log | 5.85 | 468 | 0.9026 | 0.6182 | 0.9026 | 0.9500 |
| No log | 5.875 | 470 | 0.8053 | 0.6353 | 0.8053 | 0.8974 |
| No log | 5.9 | 472 | 0.7029 | 0.6779 | 0.7029 | 0.8384 |
| No log | 5.925 | 474 | 0.6872 | 0.7051 | 0.6872 | 0.8290 |
| No log | 5.95 | 476 | 0.6722 | 0.6937 | 0.6722 | 0.8199 |
| No log | 5.975 | 478 | 0.7085 | 0.6851 | 0.7085 | 0.8417 |
| No log | 6.0 | 480 | 0.6695 | 0.6796 | 0.6695 | 0.8182 |
| No log | 6.025 | 482 | 0.6510 | 0.6563 | 0.6510 | 0.8069 |
| No log | 6.05 | 484 | 0.6506 | 0.6535 | 0.6506 | 0.8066 |
| No log | 6.075 | 486 | 0.6460 | 0.6792 | 0.6460 | 0.8038 |
| No log | 6.1 | 488 | 0.6907 | 0.6973 | 0.6907 | 0.8311 |
| No log | 6.125 | 490 | 0.7871 | 0.6824 | 0.7871 | 0.8872 |
| No log | 6.15 | 492 | 0.7695 | 0.6764 | 0.7695 | 0.8772 |
| No log | 6.175 | 494 | 0.7176 | 0.6998 | 0.7176 | 0.8471 |
| No log | 6.2 | 496 | 0.6806 | 0.6866 | 0.6806 | 0.8250 |
| No log | 6.225 | 498 | 0.6954 | 0.6997 | 0.6954 | 0.8339 |
| 0.3911 | 6.25 | 500 | 0.7710 | 0.6832 | 0.7710 | 0.8781 |
| 0.3911 | 6.275 | 502 | 0.8748 | 0.6395 | 0.8748 | 0.9353 |
| 0.3911 | 6.3 | 504 | 0.8851 | 0.6402 | 0.8851 | 0.9408 |
| 0.3911 | 6.325 | 506 | 0.8208 | 0.6421 | 0.8208 | 0.9060 |
| 0.3911 | 6.35 | 508 | 0.7750 | 0.6744 | 0.7750 | 0.8803 |
| 0.3911 | 6.375 | 510 | 0.8035 | 0.6572 | 0.8035 | 0.8964 |
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/ArabicNewSplits8_usingALLEssays_FineTuningAraBERT_run1_AugV5_k16_task1_organization
Base model
aubmindlab/bert-base-arabertv02