Instructions to use MayBashendy/ArabicNewSplits8_usingWellWrittenEssays_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_usingWellWrittenEssays_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_usingWellWrittenEssays_FineTuningAraBERT_run1_AugV5_k16_task1_organization")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("MayBashendy/ArabicNewSplits8_usingWellWrittenEssays_FineTuningAraBERT_run1_AugV5_k16_task1_organization") model = AutoModelForSequenceClassification.from_pretrained("MayBashendy/ArabicNewSplits8_usingWellWrittenEssays_FineTuningAraBERT_run1_AugV5_k16_task1_organization", device_map="auto") - Notebooks
- Google Colab
- Kaggle
ArabicNewSplits8_usingWellWrittenEssays_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: 0.5821
- Qwk: 0.6979
- Mse: 0.5821
- Rmse: 0.7629
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 | 0.0253 | 2 | 5.2205 | 0.0236 | 5.2205 | 2.2848 |
| No log | 0.0506 | 4 | 3.1785 | 0.0989 | 3.1785 | 1.7828 |
| No log | 0.0759 | 6 | 2.1988 | 0.0399 | 2.1988 | 1.4828 |
| No log | 0.1013 | 8 | 1.6400 | 0.0717 | 1.6400 | 1.2806 |
| No log | 0.1266 | 10 | 1.4880 | 0.1429 | 1.4880 | 1.2198 |
| No log | 0.1519 | 12 | 1.2509 | 0.2447 | 1.2509 | 1.1184 |
| No log | 0.1772 | 14 | 1.1199 | 0.2265 | 1.1199 | 1.0583 |
| No log | 0.2025 | 16 | 1.1238 | 0.3653 | 1.1238 | 1.0601 |
| No log | 0.2278 | 18 | 1.4970 | 0.2184 | 1.4970 | 1.2235 |
| No log | 0.2532 | 20 | 1.3520 | 0.3274 | 1.3520 | 1.1627 |
| No log | 0.2785 | 22 | 1.2757 | 0.3614 | 1.2757 | 1.1295 |
| No log | 0.3038 | 24 | 1.0407 | 0.4093 | 1.0407 | 1.0202 |
| No log | 0.3291 | 26 | 0.9251 | 0.3953 | 0.9251 | 0.9618 |
| No log | 0.3544 | 28 | 0.9261 | 0.4421 | 0.9261 | 0.9623 |
| No log | 0.3797 | 30 | 0.8958 | 0.3978 | 0.8958 | 0.9465 |
| No log | 0.4051 | 32 | 0.8744 | 0.4494 | 0.8744 | 0.9351 |
| No log | 0.4304 | 34 | 0.9787 | 0.4620 | 0.9787 | 0.9893 |
| No log | 0.4557 | 36 | 1.1873 | 0.4419 | 1.1873 | 1.0897 |
| No log | 0.4810 | 38 | 1.1891 | 0.4395 | 1.1891 | 1.0904 |
| No log | 0.5063 | 40 | 0.9556 | 0.4686 | 0.9556 | 0.9775 |
| No log | 0.5316 | 42 | 0.9628 | 0.4463 | 0.9628 | 0.9812 |
| No log | 0.5570 | 44 | 0.9570 | 0.4976 | 0.9570 | 0.9783 |
| No log | 0.5823 | 46 | 0.8179 | 0.4954 | 0.8179 | 0.9044 |
| No log | 0.6076 | 48 | 0.8647 | 0.4492 | 0.8647 | 0.9299 |
| No log | 0.6329 | 50 | 0.8858 | 0.4323 | 0.8858 | 0.9412 |
| No log | 0.6582 | 52 | 0.7615 | 0.5385 | 0.7615 | 0.8726 |
| No log | 0.6835 | 54 | 0.6810 | 0.6550 | 0.6810 | 0.8252 |
| No log | 0.7089 | 56 | 0.6640 | 0.6807 | 0.6640 | 0.8149 |
| No log | 0.7342 | 58 | 0.7315 | 0.6399 | 0.7315 | 0.8553 |
| No log | 0.7595 | 60 | 0.8014 | 0.5932 | 0.8014 | 0.8952 |
| No log | 0.7848 | 62 | 0.7172 | 0.6636 | 0.7172 | 0.8469 |
| No log | 0.8101 | 64 | 0.6391 | 0.6610 | 0.6391 | 0.7995 |
| No log | 0.8354 | 66 | 0.7450 | 0.6094 | 0.7450 | 0.8632 |
| No log | 0.8608 | 68 | 0.8106 | 0.5801 | 0.8106 | 0.9003 |
| No log | 0.8861 | 70 | 0.7049 | 0.6534 | 0.7049 | 0.8396 |
| No log | 0.9114 | 72 | 0.7782 | 0.6347 | 0.7782 | 0.8821 |
| No log | 0.9367 | 74 | 0.8015 | 0.6377 | 0.8015 | 0.8952 |
| No log | 0.9620 | 76 | 0.8178 | 0.6169 | 0.8178 | 0.9043 |
| No log | 0.9873 | 78 | 0.9366 | 0.5650 | 0.9366 | 0.9678 |
| No log | 1.0127 | 80 | 0.8428 | 0.6455 | 0.8428 | 0.9180 |
| No log | 1.0380 | 82 | 0.7598 | 0.6334 | 0.7598 | 0.8717 |
| No log | 1.0633 | 84 | 0.7479 | 0.6449 | 0.7479 | 0.8648 |
| No log | 1.0886 | 86 | 0.7339 | 0.6722 | 0.7339 | 0.8567 |
| No log | 1.1139 | 88 | 0.7658 | 0.6503 | 0.7658 | 0.8751 |
| No log | 1.1392 | 90 | 0.8242 | 0.6114 | 0.8242 | 0.9078 |
| No log | 1.1646 | 92 | 0.6923 | 0.6867 | 0.6923 | 0.8321 |
| No log | 1.1899 | 94 | 0.6828 | 0.6657 | 0.6828 | 0.8263 |
| No log | 1.2152 | 96 | 0.6608 | 0.7190 | 0.6608 | 0.8129 |
| No log | 1.2405 | 98 | 0.7406 | 0.6665 | 0.7406 | 0.8606 |
| No log | 1.2658 | 100 | 0.6705 | 0.7100 | 0.6705 | 0.8188 |
| No log | 1.2911 | 102 | 0.6945 | 0.6622 | 0.6945 | 0.8334 |
| No log | 1.3165 | 104 | 0.8122 | 0.6760 | 0.8122 | 0.9012 |
| No log | 1.3418 | 106 | 0.9056 | 0.6946 | 0.9056 | 0.9516 |
| No log | 1.3671 | 108 | 0.7862 | 0.6865 | 0.7862 | 0.8867 |
| No log | 1.3924 | 110 | 0.6542 | 0.7022 | 0.6542 | 0.8088 |
| No log | 1.4177 | 112 | 0.6390 | 0.7151 | 0.6390 | 0.7994 |
| No log | 1.4430 | 114 | 0.7779 | 0.6084 | 0.7779 | 0.8820 |
| No log | 1.4684 | 116 | 0.9348 | 0.5944 | 0.9348 | 0.9669 |
| No log | 1.4937 | 118 | 0.9147 | 0.5744 | 0.9147 | 0.9564 |
| No log | 1.5190 | 120 | 0.7569 | 0.6006 | 0.7569 | 0.8700 |
| No log | 1.5443 | 122 | 0.6401 | 0.6964 | 0.6401 | 0.8001 |
| No log | 1.5696 | 124 | 0.6535 | 0.6777 | 0.6535 | 0.8084 |
| No log | 1.5949 | 126 | 0.6980 | 0.7021 | 0.6980 | 0.8354 |
| No log | 1.6203 | 128 | 0.7105 | 0.7018 | 0.7105 | 0.8429 |
| No log | 1.6456 | 130 | 0.6880 | 0.6956 | 0.6880 | 0.8295 |
| No log | 1.6709 | 132 | 0.6492 | 0.6920 | 0.6492 | 0.8058 |
| No log | 1.6962 | 134 | 0.6640 | 0.6758 | 0.6640 | 0.8149 |
| No log | 1.7215 | 136 | 0.7179 | 0.6397 | 0.7179 | 0.8473 |
| No log | 1.7468 | 138 | 0.7549 | 0.6149 | 0.7549 | 0.8689 |
| No log | 1.7722 | 140 | 0.8028 | 0.6278 | 0.8028 | 0.8960 |
| No log | 1.7975 | 142 | 0.7360 | 0.6268 | 0.7360 | 0.8579 |
| No log | 1.8228 | 144 | 0.7244 | 0.6113 | 0.7244 | 0.8511 |
| No log | 1.8481 | 146 | 0.7586 | 0.6141 | 0.7586 | 0.8709 |
| No log | 1.8734 | 148 | 0.8355 | 0.6115 | 0.8355 | 0.9141 |
| No log | 1.8987 | 150 | 0.8288 | 0.6050 | 0.8288 | 0.9104 |
| No log | 1.9241 | 152 | 0.7591 | 0.5047 | 0.7591 | 0.8712 |
| No log | 1.9494 | 154 | 0.9754 | 0.5508 | 0.9754 | 0.9876 |
| No log | 1.9747 | 156 | 0.9920 | 0.5468 | 0.9920 | 0.9960 |
| No log | 2.0 | 158 | 0.7839 | 0.5338 | 0.7839 | 0.8854 |
| No log | 2.0253 | 160 | 0.8950 | 0.6007 | 0.8950 | 0.9460 |
| No log | 2.0506 | 162 | 1.4854 | 0.3713 | 1.4854 | 1.2188 |
| No log | 2.0759 | 164 | 1.6826 | 0.3544 | 1.6826 | 1.2971 |
| No log | 2.1013 | 166 | 1.3402 | 0.4702 | 1.3402 | 1.1577 |
| No log | 2.1266 | 168 | 0.9919 | 0.6166 | 0.9919 | 0.9960 |
| No log | 2.1519 | 170 | 0.9683 | 0.6166 | 0.9683 | 0.9840 |
| No log | 2.1772 | 172 | 1.0002 | 0.5649 | 1.0002 | 1.0001 |
| No log | 2.2025 | 174 | 0.8990 | 0.6305 | 0.8990 | 0.9482 |
| No log | 2.2278 | 176 | 0.7741 | 0.6876 | 0.7741 | 0.8798 |
| No log | 2.2532 | 178 | 0.7449 | 0.6884 | 0.7449 | 0.8631 |
| No log | 2.2785 | 180 | 0.7312 | 0.6867 | 0.7312 | 0.8551 |
| No log | 2.3038 | 182 | 0.7694 | 0.6865 | 0.7694 | 0.8772 |
| No log | 2.3291 | 184 | 0.8819 | 0.6363 | 0.8819 | 0.9391 |
| No log | 2.3544 | 186 | 0.9747 | 0.6266 | 0.9747 | 0.9873 |
| No log | 2.3797 | 188 | 0.7830 | 0.6486 | 0.7830 | 0.8849 |
| No log | 2.4051 | 190 | 0.6618 | 0.6940 | 0.6618 | 0.8135 |
| No log | 2.4304 | 192 | 0.7038 | 0.6866 | 0.7038 | 0.8389 |
| No log | 2.4557 | 194 | 0.6791 | 0.6636 | 0.6791 | 0.8241 |
| No log | 2.4810 | 196 | 0.7309 | 0.6067 | 0.7309 | 0.8549 |
| No log | 2.5063 | 198 | 0.7911 | 0.6325 | 0.7911 | 0.8894 |
| No log | 2.5316 | 200 | 0.7075 | 0.6056 | 0.7075 | 0.8411 |
| No log | 2.5570 | 202 | 0.6987 | 0.6262 | 0.6987 | 0.8359 |
| No log | 2.5823 | 204 | 0.8407 | 0.5843 | 0.8407 | 0.9169 |
| No log | 2.6076 | 206 | 0.7696 | 0.6228 | 0.7696 | 0.8773 |
| No log | 2.6329 | 208 | 0.6292 | 0.7315 | 0.6292 | 0.7932 |
| No log | 2.6582 | 210 | 0.8088 | 0.6494 | 0.8088 | 0.8993 |
| No log | 2.6835 | 212 | 0.9805 | 0.6280 | 0.9805 | 0.9902 |
| No log | 2.7089 | 214 | 0.8340 | 0.6666 | 0.8340 | 0.9133 |
| No log | 2.7342 | 216 | 0.6852 | 0.6783 | 0.6852 | 0.8278 |
| No log | 2.7595 | 218 | 0.6646 | 0.7130 | 0.6646 | 0.8152 |
| No log | 2.7848 | 220 | 0.7174 | 0.6455 | 0.7174 | 0.8470 |
| No log | 2.8101 | 222 | 0.8468 | 0.5730 | 0.8468 | 0.9202 |
| No log | 2.8354 | 224 | 0.8304 | 0.5574 | 0.8304 | 0.9113 |
| No log | 2.8608 | 226 | 0.7337 | 0.6639 | 0.7337 | 0.8566 |
| No log | 2.8861 | 228 | 0.6847 | 0.6380 | 0.6847 | 0.8275 |
| No log | 2.9114 | 230 | 0.6839 | 0.6893 | 0.6839 | 0.8270 |
| No log | 2.9367 | 232 | 0.7546 | 0.6674 | 0.7546 | 0.8687 |
| No log | 2.9620 | 234 | 0.8780 | 0.6251 | 0.8780 | 0.9370 |
| No log | 2.9873 | 236 | 0.9072 | 0.6036 | 0.9072 | 0.9525 |
| No log | 3.0127 | 238 | 0.9721 | 0.5890 | 0.9721 | 0.9859 |
| No log | 3.0380 | 240 | 0.8878 | 0.6084 | 0.8878 | 0.9423 |
| No log | 3.0633 | 242 | 0.7749 | 0.6405 | 0.7749 | 0.8803 |
| No log | 3.0886 | 244 | 0.7188 | 0.6835 | 0.7188 | 0.8478 |
| No log | 3.1139 | 246 | 0.6935 | 0.6561 | 0.6935 | 0.8328 |
| No log | 3.1392 | 248 | 0.7232 | 0.6573 | 0.7232 | 0.8504 |
| No log | 3.1646 | 250 | 0.7749 | 0.5931 | 0.7749 | 0.8803 |
| No log | 3.1899 | 252 | 0.7832 | 0.5843 | 0.7832 | 0.8850 |
| No log | 3.2152 | 254 | 0.7547 | 0.6470 | 0.7547 | 0.8688 |
| No log | 3.2405 | 256 | 0.7138 | 0.6848 | 0.7138 | 0.8449 |
| No log | 3.2658 | 258 | 0.7124 | 0.7055 | 0.7124 | 0.8441 |
| No log | 3.2911 | 260 | 0.7262 | 0.6904 | 0.7262 | 0.8522 |
| No log | 3.3165 | 262 | 0.7163 | 0.6768 | 0.7163 | 0.8463 |
| No log | 3.3418 | 264 | 0.6630 | 0.7077 | 0.6630 | 0.8142 |
| No log | 3.3671 | 266 | 0.7011 | 0.6787 | 0.7011 | 0.8373 |
| No log | 3.3924 | 268 | 0.7259 | 0.6582 | 0.7259 | 0.8520 |
| No log | 3.4177 | 270 | 0.6954 | 0.7038 | 0.6954 | 0.8339 |
| No log | 3.4430 | 272 | 0.7445 | 0.6727 | 0.7445 | 0.8628 |
| No log | 3.4684 | 274 | 0.8135 | 0.6594 | 0.8135 | 0.9019 |
| No log | 3.4937 | 276 | 0.7904 | 0.6630 | 0.7904 | 0.8891 |
| No log | 3.5190 | 278 | 0.8883 | 0.6313 | 0.8883 | 0.9425 |
| No log | 3.5443 | 280 | 0.8899 | 0.5951 | 0.8899 | 0.9433 |
| No log | 3.5696 | 282 | 0.7520 | 0.6486 | 0.7520 | 0.8672 |
| No log | 3.5949 | 284 | 0.6472 | 0.6843 | 0.6472 | 0.8045 |
| No log | 3.6203 | 286 | 0.5872 | 0.7401 | 0.5872 | 0.7663 |
| No log | 3.6456 | 288 | 0.5846 | 0.7575 | 0.5846 | 0.7646 |
| No log | 3.6709 | 290 | 0.5751 | 0.7389 | 0.5751 | 0.7584 |
| No log | 3.6962 | 292 | 0.5816 | 0.7400 | 0.5816 | 0.7627 |
| No log | 3.7215 | 294 | 0.6171 | 0.6948 | 0.6171 | 0.7855 |
| No log | 3.7468 | 296 | 0.5849 | 0.7219 | 0.5849 | 0.7648 |
| No log | 3.7722 | 298 | 0.6479 | 0.6600 | 0.6479 | 0.8049 |
| No log | 3.7975 | 300 | 0.7422 | 0.6225 | 0.7422 | 0.8615 |
| No log | 3.8228 | 302 | 0.6838 | 0.6684 | 0.6838 | 0.8269 |
| No log | 3.8481 | 304 | 0.6094 | 0.7259 | 0.6094 | 0.7806 |
| No log | 3.8734 | 306 | 0.7829 | 0.6245 | 0.7829 | 0.8848 |
| No log | 3.8987 | 308 | 0.8515 | 0.6136 | 0.8515 | 0.9228 |
| No log | 3.9241 | 310 | 0.7851 | 0.6542 | 0.7851 | 0.8861 |
| No log | 3.9494 | 312 | 0.7116 | 0.6807 | 0.7116 | 0.8435 |
| No log | 3.9747 | 314 | 0.7191 | 0.6876 | 0.7191 | 0.8480 |
| No log | 4.0 | 316 | 0.7655 | 0.6912 | 0.7655 | 0.8749 |
| No log | 4.0253 | 318 | 0.7544 | 0.6859 | 0.7544 | 0.8686 |
| No log | 4.0506 | 320 | 0.7379 | 0.6938 | 0.7379 | 0.8590 |
| No log | 4.0759 | 322 | 0.7124 | 0.6066 | 0.7124 | 0.8440 |
| No log | 4.1013 | 324 | 0.7112 | 0.5955 | 0.7112 | 0.8433 |
| No log | 4.1266 | 326 | 0.7074 | 0.6610 | 0.7074 | 0.8411 |
| No log | 4.1519 | 328 | 0.7407 | 0.6818 | 0.7407 | 0.8606 |
| No log | 4.1772 | 330 | 0.7568 | 0.7002 | 0.7568 | 0.8699 |
| No log | 4.2025 | 332 | 0.7636 | 0.7002 | 0.7636 | 0.8738 |
| No log | 4.2278 | 334 | 0.7540 | 0.6879 | 0.7540 | 0.8683 |
| No log | 4.2532 | 336 | 0.7330 | 0.6875 | 0.7330 | 0.8562 |
| No log | 4.2785 | 338 | 0.7500 | 0.6969 | 0.7500 | 0.8660 |
| No log | 4.3038 | 340 | 0.7479 | 0.6436 | 0.7479 | 0.8648 |
| No log | 4.3291 | 342 | 0.7402 | 0.6010 | 0.7402 | 0.8603 |
| No log | 4.3544 | 344 | 0.7514 | 0.6118 | 0.7514 | 0.8668 |
| No log | 4.3797 | 346 | 0.7827 | 0.6797 | 0.7827 | 0.8847 |
| No log | 4.4051 | 348 | 0.7899 | 0.6605 | 0.7899 | 0.8888 |
| No log | 4.4304 | 350 | 0.7344 | 0.6904 | 0.7344 | 0.8569 |
| No log | 4.4557 | 352 | 0.6790 | 0.6947 | 0.6790 | 0.8240 |
| No log | 4.4810 | 354 | 0.7193 | 0.6852 | 0.7193 | 0.8481 |
| No log | 4.5063 | 356 | 0.6974 | 0.6993 | 0.6974 | 0.8351 |
| No log | 4.5316 | 358 | 0.6567 | 0.7202 | 0.6567 | 0.8103 |
| No log | 4.5570 | 360 | 0.6256 | 0.7310 | 0.6256 | 0.7909 |
| No log | 4.5823 | 362 | 0.6327 | 0.7615 | 0.6327 | 0.7954 |
| No log | 4.6076 | 364 | 0.6286 | 0.7396 | 0.6286 | 0.7928 |
| No log | 4.6329 | 366 | 0.6006 | 0.7460 | 0.6006 | 0.7750 |
| No log | 4.6582 | 368 | 0.6340 | 0.7109 | 0.6340 | 0.7963 |
| No log | 4.6835 | 370 | 0.6632 | 0.7217 | 0.6632 | 0.8144 |
| No log | 4.7089 | 372 | 0.6407 | 0.7079 | 0.6407 | 0.8004 |
| No log | 4.7342 | 374 | 0.6001 | 0.7321 | 0.6001 | 0.7746 |
| No log | 4.7595 | 376 | 0.6157 | 0.7360 | 0.6157 | 0.7847 |
| No log | 4.7848 | 378 | 0.7092 | 0.6793 | 0.7092 | 0.8422 |
| No log | 4.8101 | 380 | 0.7360 | 0.6593 | 0.7360 | 0.8579 |
| No log | 4.8354 | 382 | 0.6895 | 0.6897 | 0.6895 | 0.8304 |
| No log | 4.8608 | 384 | 0.6710 | 0.6837 | 0.6710 | 0.8192 |
| No log | 4.8861 | 386 | 0.6583 | 0.6989 | 0.6583 | 0.8113 |
| No log | 4.9114 | 388 | 0.6535 | 0.7026 | 0.6535 | 0.8084 |
| No log | 4.9367 | 390 | 0.6952 | 0.6757 | 0.6952 | 0.8338 |
| No log | 4.9620 | 392 | 0.6822 | 0.6593 | 0.6822 | 0.8260 |
| No log | 4.9873 | 394 | 0.6763 | 0.6108 | 0.6763 | 0.8224 |
| No log | 5.0127 | 396 | 0.6821 | 0.6108 | 0.6821 | 0.8259 |
| No log | 5.0380 | 398 | 0.6665 | 0.6527 | 0.6665 | 0.8164 |
| No log | 5.0633 | 400 | 0.6521 | 0.6563 | 0.6521 | 0.8075 |
| No log | 5.0886 | 402 | 0.6240 | 0.7040 | 0.6240 | 0.7899 |
| No log | 5.1139 | 404 | 0.6201 | 0.7121 | 0.6201 | 0.7875 |
| No log | 5.1392 | 406 | 0.6432 | 0.6888 | 0.6432 | 0.8020 |
| No log | 5.1646 | 408 | 0.6835 | 0.6791 | 0.6835 | 0.8267 |
| No log | 5.1899 | 410 | 0.6828 | 0.6577 | 0.6828 | 0.8263 |
| No log | 5.2152 | 412 | 0.6774 | 0.6934 | 0.6774 | 0.8230 |
| No log | 5.2405 | 414 | 0.7045 | 0.6646 | 0.7045 | 0.8393 |
| No log | 5.2658 | 416 | 0.7562 | 0.6619 | 0.7562 | 0.8696 |
| No log | 5.2911 | 418 | 0.7161 | 0.6709 | 0.7161 | 0.8462 |
| No log | 5.3165 | 420 | 0.6708 | 0.6945 | 0.6708 | 0.8190 |
| No log | 5.3418 | 422 | 0.6734 | 0.7169 | 0.6734 | 0.8206 |
| No log | 5.3671 | 424 | 0.6545 | 0.6767 | 0.6545 | 0.8090 |
| No log | 5.3924 | 426 | 0.6487 | 0.6652 | 0.6487 | 0.8054 |
| No log | 5.4177 | 428 | 0.6430 | 0.6691 | 0.6430 | 0.8019 |
| No log | 5.4430 | 430 | 0.6106 | 0.6972 | 0.6106 | 0.7814 |
| No log | 5.4684 | 432 | 0.5960 | 0.7379 | 0.5960 | 0.7720 |
| No log | 5.4937 | 434 | 0.6191 | 0.7140 | 0.6191 | 0.7868 |
| No log | 5.5190 | 436 | 0.6096 | 0.6968 | 0.6096 | 0.7808 |
| No log | 5.5443 | 438 | 0.6157 | 0.6887 | 0.6157 | 0.7846 |
| No log | 5.5696 | 440 | 0.6215 | 0.6410 | 0.6215 | 0.7883 |
| No log | 5.5949 | 442 | 0.6188 | 0.6606 | 0.6188 | 0.7866 |
| No log | 5.6203 | 444 | 0.6224 | 0.6732 | 0.6224 | 0.7889 |
| No log | 5.6456 | 446 | 0.6737 | 0.6888 | 0.6737 | 0.8208 |
| No log | 5.6709 | 448 | 0.6612 | 0.6857 | 0.6612 | 0.8131 |
| No log | 5.6962 | 450 | 0.6149 | 0.6779 | 0.6149 | 0.7842 |
| No log | 5.7215 | 452 | 0.6148 | 0.6572 | 0.6148 | 0.7841 |
| No log | 5.7468 | 454 | 0.6249 | 0.6954 | 0.6249 | 0.7905 |
| No log | 5.7722 | 456 | 0.6670 | 0.6792 | 0.6670 | 0.8167 |
| No log | 5.7975 | 458 | 0.6774 | 0.6812 | 0.6774 | 0.8230 |
| No log | 5.8228 | 460 | 0.6696 | 0.6821 | 0.6696 | 0.8183 |
| No log | 5.8481 | 462 | 0.6541 | 0.6966 | 0.6541 | 0.8088 |
| No log | 5.8734 | 464 | 0.6706 | 0.6772 | 0.6706 | 0.8189 |
| No log | 5.8987 | 466 | 0.6925 | 0.6518 | 0.6925 | 0.8322 |
| No log | 5.9241 | 468 | 0.6861 | 0.6704 | 0.6861 | 0.8283 |
| No log | 5.9494 | 470 | 0.6654 | 0.6865 | 0.6654 | 0.8157 |
| No log | 5.9747 | 472 | 0.6830 | 0.6884 | 0.6830 | 0.8264 |
| No log | 6.0 | 474 | 0.7238 | 0.6405 | 0.7238 | 0.8508 |
| No log | 6.0253 | 476 | 0.7257 | 0.6557 | 0.7257 | 0.8519 |
| No log | 6.0506 | 478 | 0.6732 | 0.6933 | 0.6732 | 0.8205 |
| No log | 6.0759 | 480 | 0.6497 | 0.6526 | 0.6497 | 0.8060 |
| No log | 6.1013 | 482 | 0.6570 | 0.6630 | 0.6570 | 0.8106 |
| No log | 6.1266 | 484 | 0.7222 | 0.6496 | 0.7222 | 0.8498 |
| No log | 6.1519 | 486 | 0.7737 | 0.6403 | 0.7737 | 0.8796 |
| No log | 6.1772 | 488 | 0.7475 | 0.6296 | 0.7475 | 0.8646 |
| No log | 6.2025 | 490 | 0.6866 | 0.6174 | 0.6866 | 0.8286 |
| No log | 6.2278 | 492 | 0.6464 | 0.6462 | 0.6464 | 0.8040 |
| No log | 6.2532 | 494 | 0.6169 | 0.6698 | 0.6169 | 0.7854 |
| No log | 6.2785 | 496 | 0.6070 | 0.7088 | 0.6070 | 0.7791 |
| No log | 6.3038 | 498 | 0.6184 | 0.7021 | 0.6184 | 0.7864 |
| 0.3897 | 6.3291 | 500 | 0.6005 | 0.7231 | 0.6005 | 0.7749 |
| 0.3897 | 6.3544 | 502 | 0.5945 | 0.7533 | 0.5945 | 0.7710 |
| 0.3897 | 6.3797 | 504 | 0.6097 | 0.7428 | 0.6097 | 0.7808 |
| 0.3897 | 6.4051 | 506 | 0.5588 | 0.7455 | 0.5588 | 0.7475 |
| 0.3897 | 6.4304 | 508 | 0.5591 | 0.7012 | 0.5591 | 0.7477 |
| 0.3897 | 6.4557 | 510 | 0.6002 | 0.7038 | 0.6002 | 0.7747 |
| 0.3897 | 6.4810 | 512 | 0.6018 | 0.6819 | 0.6018 | 0.7758 |
| 0.3897 | 6.5063 | 514 | 0.5936 | 0.6808 | 0.5936 | 0.7705 |
| 0.3897 | 6.5316 | 516 | 0.5821 | 0.6979 | 0.5821 | 0.7629 |
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_usingWellWrittenEssays_FineTuningAraBERT_run1_AugV5_k16_task1_organization
Base model
aubmindlab/bert-base-arabertv02