Instructions to use MayBashendy/ArabicNewSplits8_usingALLEssays_FineTuningAraBERT_run2_AugV5_k18_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_run2_AugV5_k18_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_run2_AugV5_k18_task1_organization")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("MayBashendy/ArabicNewSplits8_usingALLEssays_FineTuningAraBERT_run2_AugV5_k18_task1_organization") model = AutoModelForSequenceClassification.from_pretrained("MayBashendy/ArabicNewSplits8_usingALLEssays_FineTuningAraBERT_run2_AugV5_k18_task1_organization", device_map="auto") - Notebooks
- Google Colab
- Kaggle
ArabicNewSplits8_usingALLEssays_FineTuningAraBERT_run2_AugV5_k18_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: 0.6735
- Qwk: 0.5855
- Mse: 0.6735
- Rmse: 0.8207
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 | 0.0225 | 2 | 5.2940 | -0.0444 | 5.2940 | 2.3009 |
| No log | 0.0449 | 4 | 3.4378 | 0.0649 | 3.4378 | 1.8541 |
| No log | 0.0674 | 6 | 1.9416 | 0.0719 | 1.9416 | 1.3934 |
| No log | 0.0899 | 8 | 1.9390 | 0.0364 | 1.9390 | 1.3925 |
| No log | 0.1124 | 10 | 1.8754 | -0.0530 | 1.8754 | 1.3694 |
| No log | 0.1348 | 12 | 1.6512 | -0.0858 | 1.6512 | 1.2850 |
| No log | 0.1573 | 14 | 1.4892 | 0.0811 | 1.4892 | 1.2203 |
| No log | 0.1798 | 16 | 1.5272 | 0.0578 | 1.5272 | 1.2358 |
| No log | 0.2022 | 18 | 1.6077 | -0.0293 | 1.6077 | 1.2679 |
| No log | 0.2247 | 20 | 1.9760 | -0.0024 | 1.9760 | 1.4057 |
| No log | 0.2472 | 22 | 2.5808 | -0.1026 | 2.5808 | 1.6065 |
| No log | 0.2697 | 24 | 3.1201 | -0.0610 | 3.1201 | 1.7664 |
| No log | 0.2921 | 26 | 2.6586 | -0.0149 | 2.6586 | 1.6305 |
| No log | 0.3146 | 28 | 2.1109 | 0.0475 | 2.1109 | 1.4529 |
| No log | 0.3371 | 30 | 1.7149 | 0.0415 | 1.7149 | 1.3095 |
| No log | 0.3596 | 32 | 1.5396 | 0.0804 | 1.5396 | 1.2408 |
| No log | 0.3820 | 34 | 1.5122 | 0.0804 | 1.5122 | 1.2297 |
| No log | 0.4045 | 36 | 1.6846 | 0.0493 | 1.6846 | 1.2979 |
| No log | 0.4270 | 38 | 2.1641 | 0.0554 | 2.1641 | 1.4711 |
| No log | 0.4494 | 40 | 2.0149 | 0.0698 | 2.0149 | 1.4195 |
| No log | 0.4719 | 42 | 1.8018 | 0.1994 | 1.8018 | 1.3423 |
| No log | 0.4944 | 44 | 1.9081 | 0.2236 | 1.9081 | 1.3813 |
| No log | 0.5169 | 46 | 1.8276 | 0.2586 | 1.8276 | 1.3519 |
| No log | 0.5393 | 48 | 1.5027 | 0.2824 | 1.5027 | 1.2259 |
| No log | 0.5618 | 50 | 1.4522 | 0.2900 | 1.4522 | 1.2051 |
| No log | 0.5843 | 52 | 1.4101 | 0.2829 | 1.4101 | 1.1875 |
| No log | 0.6067 | 54 | 1.1993 | 0.3822 | 1.1993 | 1.0951 |
| No log | 0.6292 | 56 | 1.1255 | 0.3907 | 1.1255 | 1.0609 |
| No log | 0.6517 | 58 | 1.2358 | 0.3320 | 1.2358 | 1.1117 |
| No log | 0.6742 | 60 | 1.0965 | 0.3682 | 1.0965 | 1.0471 |
| No log | 0.6966 | 62 | 1.0196 | 0.4085 | 1.0196 | 1.0098 |
| No log | 0.7191 | 64 | 1.0160 | 0.4355 | 1.0160 | 1.0080 |
| No log | 0.7416 | 66 | 1.2278 | 0.3927 | 1.2278 | 1.1081 |
| No log | 0.7640 | 68 | 1.5117 | 0.3259 | 1.5117 | 1.2295 |
| No log | 0.7865 | 70 | 1.2042 | 0.4104 | 1.2042 | 1.0974 |
| No log | 0.8090 | 72 | 0.8229 | 0.5612 | 0.8229 | 0.9071 |
| No log | 0.8315 | 74 | 0.8907 | 0.5534 | 0.8907 | 0.9438 |
| No log | 0.8539 | 76 | 1.0110 | 0.5070 | 1.0110 | 1.0055 |
| No log | 0.8764 | 78 | 0.8535 | 0.5094 | 0.8535 | 0.9239 |
| No log | 0.8989 | 80 | 0.8069 | 0.5262 | 0.8069 | 0.8983 |
| No log | 0.9213 | 82 | 0.9014 | 0.5367 | 0.9014 | 0.9494 |
| No log | 0.9438 | 84 | 1.0083 | 0.5750 | 1.0083 | 1.0041 |
| No log | 0.9663 | 86 | 0.8427 | 0.5189 | 0.8427 | 0.9180 |
| No log | 0.9888 | 88 | 0.9005 | 0.5495 | 0.9005 | 0.9489 |
| No log | 1.0112 | 90 | 1.2873 | 0.3101 | 1.2873 | 1.1346 |
| No log | 1.0337 | 92 | 1.3257 | 0.2992 | 1.3257 | 1.1514 |
| No log | 1.0562 | 94 | 1.0537 | 0.4688 | 1.0537 | 1.0265 |
| No log | 1.0787 | 96 | 0.8587 | 0.4858 | 0.8587 | 0.9267 |
| No log | 1.1011 | 98 | 0.9277 | 0.4781 | 0.9277 | 0.9632 |
| No log | 1.1236 | 100 | 1.0720 | 0.4287 | 1.0720 | 1.0354 |
| No log | 1.1461 | 102 | 1.2735 | 0.3631 | 1.2735 | 1.1285 |
| No log | 1.1685 | 104 | 1.2640 | 0.3885 | 1.2640 | 1.1243 |
| No log | 1.1910 | 106 | 0.9729 | 0.4605 | 0.9729 | 0.9864 |
| No log | 1.2135 | 108 | 0.8400 | 0.4879 | 0.8400 | 0.9165 |
| No log | 1.2360 | 110 | 0.8702 | 0.5147 | 0.8702 | 0.9329 |
| No log | 1.2584 | 112 | 0.8454 | 0.4931 | 0.8454 | 0.9195 |
| No log | 1.2809 | 114 | 0.7882 | 0.5102 | 0.7882 | 0.8878 |
| No log | 1.3034 | 116 | 0.7682 | 0.5605 | 0.7682 | 0.8765 |
| No log | 1.3258 | 118 | 0.8055 | 0.5727 | 0.8055 | 0.8975 |
| No log | 1.3483 | 120 | 0.7679 | 0.5878 | 0.7679 | 0.8763 |
| No log | 1.3708 | 122 | 0.7246 | 0.6033 | 0.7246 | 0.8512 |
| No log | 1.3933 | 124 | 0.7268 | 0.6194 | 0.7268 | 0.8525 |
| No log | 1.4157 | 126 | 0.7344 | 0.6470 | 0.7344 | 0.8570 |
| No log | 1.4382 | 128 | 0.8475 | 0.6522 | 0.8475 | 0.9206 |
| No log | 1.4607 | 130 | 1.2024 | 0.4727 | 1.2024 | 1.0965 |
| No log | 1.4831 | 132 | 1.5980 | 0.3658 | 1.5980 | 1.2641 |
| No log | 1.5056 | 134 | 1.4766 | 0.3935 | 1.4766 | 1.2151 |
| No log | 1.5281 | 136 | 0.9858 | 0.5680 | 0.9858 | 0.9929 |
| No log | 1.5506 | 138 | 0.8462 | 0.6557 | 0.8462 | 0.9199 |
| No log | 1.5730 | 140 | 0.8690 | 0.6261 | 0.8690 | 0.9322 |
| No log | 1.5955 | 142 | 0.8141 | 0.6387 | 0.8141 | 0.9023 |
| No log | 1.6180 | 144 | 0.9053 | 0.5977 | 0.9053 | 0.9515 |
| No log | 1.6404 | 146 | 0.8533 | 0.5823 | 0.8533 | 0.9237 |
| No log | 1.6629 | 148 | 0.8256 | 0.5647 | 0.8256 | 0.9086 |
| No log | 1.6854 | 150 | 0.8409 | 0.5031 | 0.8409 | 0.9170 |
| No log | 1.7079 | 152 | 0.8533 | 0.4821 | 0.8533 | 0.9237 |
| No log | 1.7303 | 154 | 0.8431 | 0.4906 | 0.8431 | 0.9182 |
| No log | 1.7528 | 156 | 0.8858 | 0.5084 | 0.8858 | 0.9412 |
| No log | 1.7753 | 158 | 0.8073 | 0.5399 | 0.8073 | 0.8985 |
| No log | 1.7978 | 160 | 1.0489 | 0.4989 | 1.0489 | 1.0242 |
| No log | 1.8202 | 162 | 1.3901 | 0.3364 | 1.3901 | 1.1790 |
| No log | 1.8427 | 164 | 1.3721 | 0.3703 | 1.3721 | 1.1714 |
| No log | 1.8652 | 166 | 1.1414 | 0.4796 | 1.1414 | 1.0684 |
| No log | 1.8876 | 168 | 0.9152 | 0.5870 | 0.9152 | 0.9567 |
| No log | 1.9101 | 170 | 0.8924 | 0.6081 | 0.8924 | 0.9447 |
| No log | 1.9326 | 172 | 0.8385 | 0.5899 | 0.8385 | 0.9157 |
| No log | 1.9551 | 174 | 0.8752 | 0.5727 | 0.8752 | 0.9355 |
| No log | 1.9775 | 176 | 0.9782 | 0.5825 | 0.9782 | 0.9890 |
| No log | 2.0 | 178 | 0.9559 | 0.5657 | 0.9559 | 0.9777 |
| No log | 2.0225 | 180 | 0.8592 | 0.5784 | 0.8592 | 0.9269 |
| No log | 2.0449 | 182 | 0.7705 | 0.5557 | 0.7705 | 0.8778 |
| No log | 2.0674 | 184 | 0.7767 | 0.5404 | 0.7767 | 0.8813 |
| No log | 2.0899 | 186 | 0.7665 | 0.5422 | 0.7665 | 0.8755 |
| No log | 2.1124 | 188 | 0.7725 | 0.4986 | 0.7725 | 0.8789 |
| No log | 2.1348 | 190 | 0.7750 | 0.5543 | 0.7750 | 0.8804 |
| No log | 2.1573 | 192 | 0.7500 | 0.5808 | 0.7500 | 0.8660 |
| No log | 2.1798 | 194 | 0.7213 | 0.5916 | 0.7213 | 0.8493 |
| No log | 2.2022 | 196 | 0.6966 | 0.6595 | 0.6966 | 0.8346 |
| No log | 2.2247 | 198 | 0.6915 | 0.6463 | 0.6915 | 0.8316 |
| No log | 2.2472 | 200 | 0.7664 | 0.5853 | 0.7664 | 0.8754 |
| No log | 2.2697 | 202 | 1.0551 | 0.5403 | 1.0551 | 1.0272 |
| No log | 2.2921 | 204 | 1.1703 | 0.5067 | 1.1703 | 1.0818 |
| No log | 2.3146 | 206 | 1.0006 | 0.5607 | 1.0006 | 1.0003 |
| No log | 2.3371 | 208 | 0.8106 | 0.5668 | 0.8106 | 0.9003 |
| No log | 2.3596 | 210 | 0.7490 | 0.5465 | 0.7490 | 0.8654 |
| No log | 2.3820 | 212 | 0.7093 | 0.6011 | 0.7093 | 0.8422 |
| No log | 2.4045 | 214 | 0.7180 | 0.5554 | 0.7180 | 0.8473 |
| No log | 2.4270 | 216 | 0.7108 | 0.5691 | 0.7108 | 0.8431 |
| No log | 2.4494 | 218 | 0.7327 | 0.5786 | 0.7327 | 0.8560 |
| No log | 2.4719 | 220 | 0.7899 | 0.5831 | 0.7899 | 0.8887 |
| No log | 2.4944 | 222 | 0.8784 | 0.5493 | 0.8784 | 0.9372 |
| No log | 2.5169 | 224 | 0.9595 | 0.5384 | 0.9595 | 0.9795 |
| No log | 2.5393 | 226 | 0.9017 | 0.5686 | 0.9017 | 0.9496 |
| No log | 2.5618 | 228 | 0.8584 | 0.5953 | 0.8584 | 0.9265 |
| No log | 2.5843 | 230 | 0.7980 | 0.5489 | 0.7980 | 0.8933 |
| No log | 2.6067 | 232 | 0.7930 | 0.5652 | 0.7930 | 0.8905 |
| No log | 2.6292 | 234 | 0.8572 | 0.5498 | 0.8572 | 0.9259 |
| No log | 2.6517 | 236 | 0.8020 | 0.5963 | 0.8020 | 0.8955 |
| No log | 2.6742 | 238 | 0.7674 | 0.5873 | 0.7674 | 0.8760 |
| No log | 2.6966 | 240 | 0.7637 | 0.5517 | 0.7637 | 0.8739 |
| No log | 2.7191 | 242 | 0.7864 | 0.5403 | 0.7864 | 0.8868 |
| No log | 2.7416 | 244 | 0.7808 | 0.5153 | 0.7808 | 0.8837 |
| No log | 2.7640 | 246 | 0.8835 | 0.5438 | 0.8835 | 0.9400 |
| No log | 2.7865 | 248 | 0.9303 | 0.4698 | 0.9303 | 0.9645 |
| No log | 2.8090 | 250 | 0.7935 | 0.5359 | 0.7935 | 0.8908 |
| No log | 2.8315 | 252 | 0.8713 | 0.5502 | 0.8713 | 0.9334 |
| No log | 2.8539 | 254 | 1.0216 | 0.4673 | 1.0216 | 1.0107 |
| No log | 2.8764 | 256 | 0.9167 | 0.5458 | 0.9167 | 0.9575 |
| No log | 2.8989 | 258 | 0.7786 | 0.5127 | 0.7786 | 0.8824 |
| No log | 2.9213 | 260 | 0.7655 | 0.5643 | 0.7655 | 0.8749 |
| No log | 2.9438 | 262 | 0.8082 | 0.5572 | 0.8082 | 0.8990 |
| No log | 2.9663 | 264 | 0.7725 | 0.5449 | 0.7725 | 0.8789 |
| No log | 2.9888 | 266 | 0.7155 | 0.5923 | 0.7155 | 0.8458 |
| No log | 3.0112 | 268 | 0.6841 | 0.6440 | 0.6841 | 0.8271 |
| No log | 3.0337 | 270 | 0.6775 | 0.6782 | 0.6775 | 0.8231 |
| No log | 3.0562 | 272 | 0.7005 | 0.6332 | 0.7005 | 0.8370 |
| No log | 3.0787 | 274 | 0.8135 | 0.5770 | 0.8135 | 0.9019 |
| No log | 3.1011 | 276 | 0.8019 | 0.5686 | 0.8019 | 0.8955 |
| No log | 3.1236 | 278 | 0.7191 | 0.6421 | 0.7191 | 0.8480 |
| No log | 3.1461 | 280 | 0.6994 | 0.6421 | 0.6994 | 0.8363 |
| No log | 3.1685 | 282 | 0.6988 | 0.6452 | 0.6988 | 0.8359 |
| No log | 3.1910 | 284 | 0.7317 | 0.6623 | 0.7317 | 0.8554 |
| No log | 3.2135 | 286 | 0.6933 | 0.6810 | 0.6933 | 0.8326 |
| No log | 3.2360 | 288 | 0.6962 | 0.7016 | 0.6962 | 0.8344 |
| No log | 3.2584 | 290 | 0.6850 | 0.6853 | 0.6850 | 0.8276 |
| No log | 3.2809 | 292 | 0.7586 | 0.6355 | 0.7586 | 0.8710 |
| No log | 3.3034 | 294 | 0.7531 | 0.6279 | 0.7531 | 0.8678 |
| No log | 3.3258 | 296 | 0.7788 | 0.5744 | 0.7788 | 0.8825 |
| No log | 3.3483 | 298 | 0.7446 | 0.5713 | 0.7446 | 0.8629 |
| No log | 3.3708 | 300 | 0.6838 | 0.5710 | 0.6838 | 0.8269 |
| No log | 3.3933 | 302 | 0.6555 | 0.5831 | 0.6555 | 0.8096 |
| No log | 3.4157 | 304 | 0.6819 | 0.6111 | 0.6819 | 0.8258 |
| No log | 3.4382 | 306 | 0.8535 | 0.6231 | 0.8535 | 0.9238 |
| No log | 3.4607 | 308 | 0.9778 | 0.6006 | 0.9778 | 0.9888 |
| No log | 3.4831 | 310 | 0.9217 | 0.5922 | 0.9217 | 0.9600 |
| No log | 3.5056 | 312 | 0.8273 | 0.6318 | 0.8273 | 0.9095 |
| No log | 3.5281 | 314 | 0.7526 | 0.6050 | 0.7526 | 0.8675 |
| No log | 3.5506 | 316 | 0.6659 | 0.6392 | 0.6659 | 0.8160 |
| No log | 3.5730 | 318 | 0.6526 | 0.6037 | 0.6526 | 0.8078 |
| No log | 3.5955 | 320 | 0.6638 | 0.6088 | 0.6638 | 0.8147 |
| No log | 3.6180 | 322 | 0.6987 | 0.6355 | 0.6987 | 0.8359 |
| No log | 3.6404 | 324 | 0.7095 | 0.6368 | 0.7095 | 0.8423 |
| No log | 3.6629 | 326 | 0.6736 | 0.6490 | 0.6736 | 0.8207 |
| No log | 3.6854 | 328 | 0.6945 | 0.6349 | 0.6945 | 0.8333 |
| No log | 3.7079 | 330 | 0.7335 | 0.5868 | 0.7335 | 0.8564 |
| No log | 3.7303 | 332 | 0.8492 | 0.5636 | 0.8492 | 0.9215 |
| No log | 3.7528 | 334 | 0.8293 | 0.5677 | 0.8293 | 0.9107 |
| No log | 3.7753 | 336 | 0.8062 | 0.5703 | 0.8062 | 0.8979 |
| No log | 3.7978 | 338 | 0.7689 | 0.5882 | 0.7689 | 0.8768 |
| No log | 3.8202 | 340 | 0.6837 | 0.6053 | 0.6837 | 0.8268 |
| No log | 3.8427 | 342 | 0.6303 | 0.6900 | 0.6303 | 0.7939 |
| No log | 3.8652 | 344 | 0.6423 | 0.6834 | 0.6423 | 0.8014 |
| No log | 3.8876 | 346 | 0.6179 | 0.7038 | 0.6179 | 0.7860 |
| No log | 3.9101 | 348 | 0.6212 | 0.7176 | 0.6212 | 0.7882 |
| No log | 3.9326 | 350 | 0.6200 | 0.7138 | 0.6200 | 0.7874 |
| No log | 3.9551 | 352 | 0.6354 | 0.6185 | 0.6354 | 0.7971 |
| No log | 3.9775 | 354 | 0.6434 | 0.6185 | 0.6434 | 0.8021 |
| No log | 4.0 | 356 | 0.6422 | 0.6243 | 0.6422 | 0.8014 |
| No log | 4.0225 | 358 | 0.6656 | 0.5997 | 0.6656 | 0.8158 |
| No log | 4.0449 | 360 | 0.6483 | 0.6237 | 0.6483 | 0.8052 |
| No log | 4.0674 | 362 | 0.6520 | 0.6332 | 0.6520 | 0.8075 |
| No log | 4.0899 | 364 | 0.6749 | 0.6051 | 0.6749 | 0.8215 |
| No log | 4.1124 | 366 | 0.6609 | 0.6275 | 0.6609 | 0.8129 |
| No log | 4.1348 | 368 | 0.6580 | 0.5972 | 0.6580 | 0.8111 |
| No log | 4.1573 | 370 | 0.6721 | 0.5766 | 0.6721 | 0.8198 |
| No log | 4.1798 | 372 | 0.7001 | 0.5845 | 0.7001 | 0.8367 |
| No log | 4.2022 | 374 | 0.7674 | 0.5532 | 0.7674 | 0.8760 |
| No log | 4.2247 | 376 | 0.9154 | 0.5618 | 0.9154 | 0.9568 |
| No log | 4.2472 | 378 | 0.9751 | 0.5022 | 0.9751 | 0.9875 |
| No log | 4.2697 | 380 | 0.9002 | 0.5062 | 0.9002 | 0.9488 |
| No log | 4.2921 | 382 | 0.8112 | 0.5697 | 0.8112 | 0.9007 |
| No log | 4.3146 | 384 | 0.8293 | 0.5700 | 0.8293 | 0.9106 |
| No log | 4.3371 | 386 | 0.8951 | 0.5688 | 0.8951 | 0.9461 |
| No log | 4.3596 | 388 | 1.2056 | 0.4604 | 1.2056 | 1.0980 |
| No log | 4.3820 | 390 | 1.6422 | 0.3280 | 1.6422 | 1.2815 |
| No log | 4.4045 | 392 | 1.6427 | 0.3411 | 1.6427 | 1.2817 |
| No log | 4.4270 | 394 | 1.2636 | 0.4682 | 1.2636 | 1.1241 |
| No log | 4.4494 | 396 | 0.8152 | 0.5810 | 0.8152 | 0.9029 |
| No log | 4.4719 | 398 | 0.6983 | 0.6223 | 0.6984 | 0.8357 |
| No log | 4.4944 | 400 | 0.6926 | 0.5931 | 0.6926 | 0.8323 |
| No log | 4.5169 | 402 | 0.7364 | 0.6046 | 0.7364 | 0.8581 |
| No log | 4.5393 | 404 | 0.8710 | 0.5718 | 0.8710 | 0.9333 |
| No log | 4.5618 | 406 | 1.0518 | 0.5039 | 1.0518 | 1.0256 |
| No log | 4.5843 | 408 | 1.1102 | 0.5061 | 1.1102 | 1.0537 |
| No log | 4.6067 | 410 | 0.9333 | 0.5900 | 0.9333 | 0.9661 |
| No log | 4.6292 | 412 | 0.7452 | 0.6322 | 0.7452 | 0.8633 |
| No log | 4.6517 | 414 | 0.7214 | 0.6254 | 0.7214 | 0.8494 |
| No log | 4.6742 | 416 | 0.7924 | 0.5942 | 0.7924 | 0.8901 |
| No log | 4.6966 | 418 | 0.8397 | 0.5647 | 0.8397 | 0.9164 |
| No log | 4.7191 | 420 | 0.9646 | 0.5570 | 0.9646 | 0.9821 |
| No log | 4.7416 | 422 | 0.9677 | 0.5600 | 0.9677 | 0.9837 |
| No log | 4.7640 | 424 | 0.8263 | 0.5933 | 0.8263 | 0.9090 |
| No log | 4.7865 | 426 | 0.6806 | 0.6590 | 0.6806 | 0.8250 |
| No log | 4.8090 | 428 | 0.6722 | 0.6718 | 0.6722 | 0.8199 |
| No log | 4.8315 | 430 | 0.6762 | 0.6749 | 0.6762 | 0.8223 |
| No log | 4.8539 | 432 | 0.7656 | 0.6498 | 0.7656 | 0.8750 |
| No log | 4.8764 | 434 | 0.8355 | 0.6251 | 0.8355 | 0.9141 |
| No log | 4.8989 | 436 | 0.7693 | 0.6408 | 0.7693 | 0.8771 |
| No log | 4.9213 | 438 | 0.6520 | 0.6869 | 0.6520 | 0.8075 |
| No log | 4.9438 | 440 | 0.6177 | 0.6887 | 0.6177 | 0.7859 |
| No log | 4.9663 | 442 | 0.6098 | 0.6330 | 0.6098 | 0.7809 |
| No log | 4.9888 | 444 | 0.6204 | 0.6523 | 0.6204 | 0.7877 |
| No log | 5.0112 | 446 | 0.6193 | 0.6411 | 0.6193 | 0.7869 |
| No log | 5.0337 | 448 | 0.6235 | 0.6251 | 0.6235 | 0.7896 |
| No log | 5.0562 | 450 | 0.6893 | 0.6188 | 0.6893 | 0.8302 |
| No log | 5.0787 | 452 | 0.7443 | 0.6202 | 0.7443 | 0.8627 |
| No log | 5.1011 | 454 | 0.7967 | 0.6294 | 0.7967 | 0.8926 |
| No log | 5.1236 | 456 | 0.9651 | 0.5888 | 0.9651 | 0.9824 |
| No log | 5.1461 | 458 | 1.0255 | 0.5524 | 1.0255 | 1.0127 |
| No log | 5.1685 | 460 | 0.9176 | 0.5691 | 0.9176 | 0.9579 |
| No log | 5.1910 | 462 | 0.8325 | 0.6055 | 0.8325 | 0.9124 |
| No log | 5.2135 | 464 | 0.8038 | 0.6109 | 0.8039 | 0.8966 |
| No log | 5.2360 | 466 | 0.8753 | 0.6061 | 0.8753 | 0.9356 |
| No log | 5.2584 | 468 | 0.9750 | 0.5781 | 0.9750 | 0.9874 |
| No log | 5.2809 | 470 | 1.0014 | 0.5793 | 1.0014 | 1.0007 |
| No log | 5.3034 | 472 | 1.0456 | 0.5439 | 1.0456 | 1.0226 |
| No log | 5.3258 | 474 | 0.9242 | 0.5679 | 0.9242 | 0.9613 |
| No log | 5.3483 | 476 | 0.8024 | 0.6059 | 0.8024 | 0.8958 |
| No log | 5.3708 | 478 | 0.7646 | 0.6147 | 0.7646 | 0.8744 |
| No log | 5.3933 | 480 | 0.7964 | 0.6059 | 0.7964 | 0.8924 |
| No log | 5.4157 | 482 | 0.8277 | 0.6000 | 0.8277 | 0.9098 |
| No log | 5.4382 | 484 | 0.7653 | 0.6014 | 0.7653 | 0.8748 |
| No log | 5.4607 | 486 | 0.6516 | 0.6363 | 0.6516 | 0.8072 |
| No log | 5.4831 | 488 | 0.6342 | 0.6437 | 0.6342 | 0.7964 |
| No log | 5.5056 | 490 | 0.6560 | 0.6445 | 0.6560 | 0.8099 |
| No log | 5.5281 | 492 | 0.6629 | 0.6244 | 0.6629 | 0.8142 |
| No log | 5.5506 | 494 | 0.6613 | 0.6584 | 0.6613 | 0.8132 |
| No log | 5.5730 | 496 | 0.6698 | 0.6373 | 0.6698 | 0.8184 |
| No log | 5.5955 | 498 | 0.6833 | 0.6166 | 0.6833 | 0.8266 |
| 0.4485 | 5.6180 | 500 | 0.7752 | 0.6442 | 0.7752 | 0.8805 |
| 0.4485 | 5.6404 | 502 | 0.7594 | 0.6370 | 0.7594 | 0.8715 |
| 0.4485 | 5.6629 | 504 | 0.7915 | 0.6305 | 0.7915 | 0.8897 |
| 0.4485 | 5.6854 | 506 | 0.8068 | 0.6139 | 0.8068 | 0.8982 |
| 0.4485 | 5.7079 | 508 | 0.7180 | 0.6095 | 0.7180 | 0.8474 |
| 0.4485 | 5.7303 | 510 | 0.6735 | 0.5855 | 0.6735 | 0.8207 |
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_run2_AugV5_k18_task1_organization
Base model
aubmindlab/bert-base-arabertv02