Instructions to use MayBashendy/ArabicNewSplits8_usingWellWrittenEssays_FineTuningAraBERT_run3_AugV5_k3_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_run3_AugV5_k3_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_run3_AugV5_k3_task1_organization")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("MayBashendy/ArabicNewSplits8_usingWellWrittenEssays_FineTuningAraBERT_run3_AugV5_k3_task1_organization") model = AutoModelForSequenceClassification.from_pretrained("MayBashendy/ArabicNewSplits8_usingWellWrittenEssays_FineTuningAraBERT_run3_AugV5_k3_task1_organization", device_map="auto") - Notebooks
- Google Colab
- Kaggle
ArabicNewSplits8_usingWellWrittenEssays_FineTuningAraBERT_run3_AugV5_k3_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: 0.5917
- Qwk: 0.7190
- Mse: 0.5917
- Rmse: 0.7692
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 | 0.1176 | 2 | 5.3270 | -0.0047 | 5.3270 | 2.3080 |
| No log | 0.2353 | 4 | 3.5251 | 0.0363 | 3.5251 | 1.8775 |
| No log | 0.3529 | 6 | 2.0604 | 0.1392 | 2.0604 | 1.4354 |
| No log | 0.4706 | 8 | 1.6467 | 0.0773 | 1.6467 | 1.2832 |
| No log | 0.5882 | 10 | 1.2859 | 0.2249 | 1.2859 | 1.1340 |
| No log | 0.7059 | 12 | 1.1705 | 0.1534 | 1.1705 | 1.0819 |
| No log | 0.8235 | 14 | 1.3908 | 0.1644 | 1.3908 | 1.1793 |
| No log | 0.9412 | 16 | 1.9204 | 0.0957 | 1.9204 | 1.3858 |
| No log | 1.0588 | 18 | 1.9100 | 0.1241 | 1.9100 | 1.3820 |
| No log | 1.1765 | 20 | 1.4961 | 0.0273 | 1.4961 | 1.2232 |
| No log | 1.2941 | 22 | 1.1311 | 0.2505 | 1.1311 | 1.0635 |
| No log | 1.4118 | 24 | 1.1068 | 0.2011 | 1.1068 | 1.0520 |
| No log | 1.5294 | 26 | 1.1352 | 0.1415 | 1.1352 | 1.0655 |
| No log | 1.6471 | 28 | 1.1448 | 0.1245 | 1.1448 | 1.0700 |
| No log | 1.7647 | 30 | 1.1381 | 0.1334 | 1.1381 | 1.0668 |
| No log | 1.8824 | 32 | 1.1255 | 0.2939 | 1.1255 | 1.0609 |
| No log | 2.0 | 34 | 1.2701 | 0.2136 | 1.2701 | 1.1270 |
| No log | 2.1176 | 36 | 1.3473 | 0.1513 | 1.3473 | 1.1608 |
| No log | 2.2353 | 38 | 1.2308 | 0.2376 | 1.2308 | 1.1094 |
| No log | 2.3529 | 40 | 1.0136 | 0.3120 | 1.0136 | 1.0068 |
| No log | 2.4706 | 42 | 0.8593 | 0.4632 | 0.8593 | 0.9270 |
| No log | 2.5882 | 44 | 0.8453 | 0.5158 | 0.8453 | 0.9194 |
| No log | 2.7059 | 46 | 0.7932 | 0.5404 | 0.7932 | 0.8906 |
| No log | 2.8235 | 48 | 0.7896 | 0.5429 | 0.7896 | 0.8886 |
| No log | 2.9412 | 50 | 0.9338 | 0.4516 | 0.9338 | 0.9663 |
| No log | 3.0588 | 52 | 1.0719 | 0.4071 | 1.0719 | 1.0353 |
| No log | 3.1765 | 54 | 0.9273 | 0.4235 | 0.9273 | 0.9630 |
| No log | 3.2941 | 56 | 0.7320 | 0.6015 | 0.7320 | 0.8555 |
| No log | 3.4118 | 58 | 0.8219 | 0.5996 | 0.8219 | 0.9066 |
| No log | 3.5294 | 60 | 0.8175 | 0.6231 | 0.8175 | 0.9041 |
| No log | 3.6471 | 62 | 0.7373 | 0.5915 | 0.7373 | 0.8587 |
| No log | 3.7647 | 64 | 0.7559 | 0.5714 | 0.7559 | 0.8694 |
| No log | 3.8824 | 66 | 0.8965 | 0.4699 | 0.8965 | 0.9468 |
| No log | 4.0 | 68 | 0.7976 | 0.5055 | 0.7976 | 0.8931 |
| No log | 4.1176 | 70 | 0.6772 | 0.6456 | 0.6772 | 0.8229 |
| No log | 4.2353 | 72 | 0.8834 | 0.5903 | 0.8834 | 0.9399 |
| No log | 4.3529 | 74 | 0.9769 | 0.5418 | 0.9769 | 0.9884 |
| No log | 4.4706 | 76 | 0.7632 | 0.6717 | 0.7632 | 0.8736 |
| No log | 4.5882 | 78 | 0.6793 | 0.6985 | 0.6793 | 0.8242 |
| No log | 4.7059 | 80 | 0.6816 | 0.6700 | 0.6816 | 0.8256 |
| No log | 4.8235 | 82 | 0.6840 | 0.7002 | 0.6840 | 0.8271 |
| No log | 4.9412 | 84 | 0.6690 | 0.7120 | 0.6690 | 0.8179 |
| No log | 5.0588 | 86 | 0.6768 | 0.6800 | 0.6768 | 0.8227 |
| No log | 5.1765 | 88 | 0.6658 | 0.6820 | 0.6658 | 0.8159 |
| No log | 5.2941 | 90 | 0.7415 | 0.6784 | 0.7415 | 0.8611 |
| No log | 5.4118 | 92 | 0.6259 | 0.6889 | 0.6259 | 0.7912 |
| No log | 5.5294 | 94 | 0.7190 | 0.6887 | 0.7190 | 0.8479 |
| No log | 5.6471 | 96 | 0.8874 | 0.6094 | 0.8874 | 0.9420 |
| No log | 5.7647 | 98 | 0.6916 | 0.7045 | 0.6916 | 0.8316 |
| No log | 5.8824 | 100 | 0.6029 | 0.7159 | 0.6029 | 0.7765 |
| No log | 6.0 | 102 | 0.6562 | 0.7094 | 0.6562 | 0.8101 |
| No log | 6.1176 | 104 | 0.6629 | 0.6984 | 0.6629 | 0.8142 |
| No log | 6.2353 | 106 | 0.6454 | 0.6522 | 0.6454 | 0.8034 |
| No log | 6.3529 | 108 | 0.7245 | 0.6724 | 0.7245 | 0.8512 |
| No log | 6.4706 | 110 | 0.6716 | 0.6711 | 0.6716 | 0.8195 |
| No log | 6.5882 | 112 | 0.6023 | 0.7420 | 0.6023 | 0.7761 |
| No log | 6.7059 | 114 | 0.8204 | 0.6869 | 0.8204 | 0.9057 |
| No log | 6.8235 | 116 | 0.7684 | 0.6943 | 0.7684 | 0.8766 |
| No log | 6.9412 | 118 | 0.6457 | 0.7410 | 0.6457 | 0.8036 |
| No log | 7.0588 | 120 | 0.6261 | 0.7259 | 0.6261 | 0.7913 |
| No log | 7.1765 | 122 | 0.6140 | 0.7438 | 0.6140 | 0.7836 |
| No log | 7.2941 | 124 | 0.6531 | 0.7270 | 0.6531 | 0.8081 |
| No log | 7.4118 | 126 | 0.6493 | 0.7357 | 0.6493 | 0.8058 |
| No log | 7.5294 | 128 | 0.6302 | 0.7014 | 0.6302 | 0.7939 |
| No log | 7.6471 | 130 | 0.6451 | 0.7191 | 0.6451 | 0.8032 |
| No log | 7.7647 | 132 | 0.6212 | 0.7166 | 0.6212 | 0.7881 |
| No log | 7.8824 | 134 | 0.6460 | 0.6934 | 0.6460 | 0.8038 |
| No log | 8.0 | 136 | 0.6722 | 0.6655 | 0.6722 | 0.8199 |
| No log | 8.1176 | 138 | 0.6486 | 0.6840 | 0.6486 | 0.8053 |
| No log | 8.2353 | 140 | 0.5924 | 0.6973 | 0.5924 | 0.7697 |
| No log | 8.3529 | 142 | 0.5920 | 0.7516 | 0.5920 | 0.7694 |
| No log | 8.4706 | 144 | 0.5834 | 0.7401 | 0.5834 | 0.7638 |
| No log | 8.5882 | 146 | 0.6178 | 0.7239 | 0.6178 | 0.7860 |
| No log | 8.7059 | 148 | 0.7101 | 0.6966 | 0.7101 | 0.8427 |
| No log | 8.8235 | 150 | 0.7622 | 0.7018 | 0.7622 | 0.8731 |
| No log | 8.9412 | 152 | 0.7786 | 0.6980 | 0.7786 | 0.8824 |
| No log | 9.0588 | 154 | 0.7147 | 0.7229 | 0.7147 | 0.8454 |
| No log | 9.1765 | 156 | 0.6069 | 0.7486 | 0.6069 | 0.7790 |
| No log | 9.2941 | 158 | 0.5881 | 0.7565 | 0.5881 | 0.7669 |
| No log | 9.4118 | 160 | 0.5764 | 0.7387 | 0.5764 | 0.7592 |
| No log | 9.5294 | 162 | 0.5803 | 0.7548 | 0.5803 | 0.7618 |
| No log | 9.6471 | 164 | 0.6060 | 0.7378 | 0.6060 | 0.7784 |
| No log | 9.7647 | 166 | 0.6444 | 0.6969 | 0.6444 | 0.8027 |
| No log | 9.8824 | 168 | 0.6212 | 0.7197 | 0.6212 | 0.7881 |
| No log | 10.0 | 170 | 0.6618 | 0.6734 | 0.6618 | 0.8135 |
| No log | 10.1176 | 172 | 0.8880 | 0.6373 | 0.8880 | 0.9423 |
| No log | 10.2353 | 174 | 0.8638 | 0.6370 | 0.8638 | 0.9294 |
| No log | 10.3529 | 176 | 0.6954 | 0.6665 | 0.6954 | 0.8339 |
| No log | 10.4706 | 178 | 0.6193 | 0.7092 | 0.6193 | 0.7870 |
| No log | 10.5882 | 180 | 0.6905 | 0.6541 | 0.6905 | 0.8310 |
| No log | 10.7059 | 182 | 0.6614 | 0.6580 | 0.6614 | 0.8133 |
| No log | 10.8235 | 184 | 0.5958 | 0.6975 | 0.5958 | 0.7719 |
| No log | 10.9412 | 186 | 0.6151 | 0.6965 | 0.6151 | 0.7843 |
| No log | 11.0588 | 188 | 0.6873 | 0.6646 | 0.6873 | 0.8291 |
| No log | 11.1765 | 190 | 0.6093 | 0.7032 | 0.6093 | 0.7806 |
| No log | 11.2941 | 192 | 0.5767 | 0.7488 | 0.5767 | 0.7594 |
| No log | 11.4118 | 194 | 0.6043 | 0.7176 | 0.6043 | 0.7774 |
| No log | 11.5294 | 196 | 0.5893 | 0.7281 | 0.5893 | 0.7676 |
| No log | 11.6471 | 198 | 0.5751 | 0.7408 | 0.5751 | 0.7583 |
| No log | 11.7647 | 200 | 0.5709 | 0.7478 | 0.5709 | 0.7556 |
| No log | 11.8824 | 202 | 0.5583 | 0.7355 | 0.5583 | 0.7472 |
| No log | 12.0 | 204 | 0.6502 | 0.6724 | 0.6502 | 0.8064 |
| No log | 12.1176 | 206 | 0.7062 | 0.6785 | 0.7062 | 0.8404 |
| No log | 12.2353 | 208 | 0.6229 | 0.6951 | 0.6229 | 0.7893 |
| No log | 12.3529 | 210 | 0.5649 | 0.7185 | 0.5649 | 0.7516 |
| No log | 12.4706 | 212 | 0.6919 | 0.6647 | 0.6919 | 0.8318 |
| No log | 12.5882 | 214 | 0.6962 | 0.6625 | 0.6962 | 0.8344 |
| No log | 12.7059 | 216 | 0.5835 | 0.7145 | 0.5835 | 0.7638 |
| No log | 12.8235 | 218 | 0.6219 | 0.7075 | 0.6219 | 0.7886 |
| No log | 12.9412 | 220 | 0.6799 | 0.6490 | 0.6799 | 0.8246 |
| No log | 13.0588 | 222 | 0.6431 | 0.7097 | 0.6431 | 0.8019 |
| No log | 13.1765 | 224 | 0.6379 | 0.6617 | 0.6379 | 0.7987 |
| No log | 13.2941 | 226 | 0.8014 | 0.6245 | 0.8014 | 0.8952 |
| No log | 13.4118 | 228 | 0.9827 | 0.5479 | 0.9827 | 0.9913 |
| No log | 13.5294 | 230 | 1.0132 | 0.5677 | 1.0132 | 1.0066 |
| No log | 13.6471 | 232 | 0.8633 | 0.6279 | 0.8633 | 0.9291 |
| No log | 13.7647 | 234 | 0.7213 | 0.7291 | 0.7213 | 0.8493 |
| No log | 13.8824 | 236 | 0.6905 | 0.6924 | 0.6905 | 0.8310 |
| No log | 14.0 | 238 | 0.6751 | 0.6900 | 0.6751 | 0.8217 |
| No log | 14.1176 | 240 | 0.6447 | 0.7135 | 0.6447 | 0.8030 |
| No log | 14.2353 | 242 | 0.6210 | 0.7008 | 0.6210 | 0.7881 |
| No log | 14.3529 | 244 | 0.6535 | 0.6887 | 0.6535 | 0.8084 |
| No log | 14.4706 | 246 | 0.6780 | 0.6480 | 0.6780 | 0.8234 |
| No log | 14.5882 | 248 | 0.6347 | 0.6866 | 0.6347 | 0.7967 |
| No log | 14.7059 | 250 | 0.6056 | 0.7083 | 0.6056 | 0.7782 |
| No log | 14.8235 | 252 | 0.5951 | 0.7418 | 0.5951 | 0.7715 |
| No log | 14.9412 | 254 | 0.5909 | 0.7241 | 0.5909 | 0.7687 |
| No log | 15.0588 | 256 | 0.5862 | 0.7258 | 0.5862 | 0.7657 |
| No log | 15.1765 | 258 | 0.5848 | 0.7210 | 0.5848 | 0.7647 |
| No log | 15.2941 | 260 | 0.5716 | 0.7398 | 0.5716 | 0.7561 |
| No log | 15.4118 | 262 | 0.5727 | 0.7354 | 0.5727 | 0.7567 |
| No log | 15.5294 | 264 | 0.5971 | 0.7322 | 0.5971 | 0.7727 |
| No log | 15.6471 | 266 | 0.6149 | 0.7323 | 0.6149 | 0.7841 |
| No log | 15.7647 | 268 | 0.6045 | 0.7409 | 0.6045 | 0.7775 |
| No log | 15.8824 | 270 | 0.5708 | 0.7361 | 0.5708 | 0.7555 |
| No log | 16.0 | 272 | 0.5672 | 0.7316 | 0.5672 | 0.7531 |
| No log | 16.1176 | 274 | 0.5899 | 0.6997 | 0.5899 | 0.7681 |
| No log | 16.2353 | 276 | 0.6700 | 0.6418 | 0.6700 | 0.8186 |
| No log | 16.3529 | 278 | 0.8267 | 0.6236 | 0.8267 | 0.9093 |
| No log | 16.4706 | 280 | 0.8757 | 0.6241 | 0.8757 | 0.9358 |
| No log | 16.5882 | 282 | 0.7855 | 0.6322 | 0.7855 | 0.8863 |
| No log | 16.7059 | 284 | 0.6543 | 0.6447 | 0.6543 | 0.8089 |
| No log | 16.8235 | 286 | 0.6003 | 0.6923 | 0.6003 | 0.7748 |
| No log | 16.9412 | 288 | 0.5978 | 0.7339 | 0.5978 | 0.7732 |
| No log | 17.0588 | 290 | 0.5917 | 0.7488 | 0.5917 | 0.7692 |
| No log | 17.1765 | 292 | 0.6147 | 0.7247 | 0.6147 | 0.7841 |
| No log | 17.2941 | 294 | 0.6603 | 0.6956 | 0.6603 | 0.8126 |
| No log | 17.4118 | 296 | 0.6509 | 0.6892 | 0.6509 | 0.8068 |
| No log | 17.5294 | 298 | 0.6447 | 0.6852 | 0.6447 | 0.8029 |
| No log | 17.6471 | 300 | 0.6216 | 0.6925 | 0.6216 | 0.7884 |
| No log | 17.7647 | 302 | 0.6047 | 0.7069 | 0.6047 | 0.7776 |
| No log | 17.8824 | 304 | 0.5934 | 0.7107 | 0.5934 | 0.7704 |
| No log | 18.0 | 306 | 0.5887 | 0.7355 | 0.5887 | 0.7673 |
| No log | 18.1176 | 308 | 0.6104 | 0.7270 | 0.6104 | 0.7813 |
| No log | 18.2353 | 310 | 0.5969 | 0.7331 | 0.5969 | 0.7726 |
| No log | 18.3529 | 312 | 0.5898 | 0.7278 | 0.5898 | 0.7680 |
| No log | 18.4706 | 314 | 0.5650 | 0.7220 | 0.5650 | 0.7516 |
| No log | 18.5882 | 316 | 0.5900 | 0.7024 | 0.5900 | 0.7681 |
| No log | 18.7059 | 318 | 0.6238 | 0.7105 | 0.6238 | 0.7898 |
| No log | 18.8235 | 320 | 0.5986 | 0.6996 | 0.5986 | 0.7737 |
| No log | 18.9412 | 322 | 0.5858 | 0.6879 | 0.5858 | 0.7654 |
| No log | 19.0588 | 324 | 0.6332 | 0.6684 | 0.6332 | 0.7957 |
| No log | 19.1765 | 326 | 0.6917 | 0.6457 | 0.6917 | 0.8317 |
| No log | 19.2941 | 328 | 0.7169 | 0.6761 | 0.7169 | 0.8467 |
| No log | 19.4118 | 330 | 0.7115 | 0.6778 | 0.7115 | 0.8435 |
| No log | 19.5294 | 332 | 0.6733 | 0.6943 | 0.6733 | 0.8205 |
| No log | 19.6471 | 334 | 0.6378 | 0.7254 | 0.6378 | 0.7987 |
| No log | 19.7647 | 336 | 0.6090 | 0.7550 | 0.6090 | 0.7804 |
| No log | 19.8824 | 338 | 0.5967 | 0.7462 | 0.5967 | 0.7725 |
| No log | 20.0 | 340 | 0.5764 | 0.7347 | 0.5764 | 0.7592 |
| No log | 20.1176 | 342 | 0.5711 | 0.7408 | 0.5711 | 0.7557 |
| No log | 20.2353 | 344 | 0.5715 | 0.7408 | 0.5715 | 0.7560 |
| No log | 20.3529 | 346 | 0.5904 | 0.7345 | 0.5904 | 0.7684 |
| No log | 20.4706 | 348 | 0.6279 | 0.7346 | 0.6279 | 0.7924 |
| No log | 20.5882 | 350 | 0.6177 | 0.7285 | 0.6177 | 0.7859 |
| No log | 20.7059 | 352 | 0.5865 | 0.7496 | 0.5865 | 0.7658 |
| No log | 20.8235 | 354 | 0.5757 | 0.7566 | 0.5757 | 0.7587 |
| No log | 20.9412 | 356 | 0.5746 | 0.7387 | 0.5746 | 0.7580 |
| No log | 21.0588 | 358 | 0.5920 | 0.7269 | 0.5920 | 0.7694 |
| No log | 21.1765 | 360 | 0.6315 | 0.6859 | 0.6315 | 0.7947 |
| No log | 21.2941 | 362 | 0.6922 | 0.7028 | 0.6922 | 0.8320 |
| No log | 21.4118 | 364 | 0.7042 | 0.7023 | 0.7042 | 0.8392 |
| No log | 21.5294 | 366 | 0.6678 | 0.7106 | 0.6678 | 0.8172 |
| No log | 21.6471 | 368 | 0.5911 | 0.7336 | 0.5911 | 0.7688 |
| No log | 21.7647 | 370 | 0.5850 | 0.7758 | 0.5850 | 0.7648 |
| No log | 21.8824 | 372 | 0.5982 | 0.7414 | 0.5982 | 0.7735 |
| No log | 22.0 | 374 | 0.5881 | 0.7576 | 0.5881 | 0.7669 |
| No log | 22.1176 | 376 | 0.5833 | 0.6870 | 0.5833 | 0.7638 |
| No log | 22.2353 | 378 | 0.6118 | 0.6962 | 0.6118 | 0.7822 |
| No log | 22.3529 | 380 | 0.5956 | 0.6939 | 0.5956 | 0.7717 |
| No log | 22.4706 | 382 | 0.5770 | 0.6968 | 0.5770 | 0.7596 |
| No log | 22.5882 | 384 | 0.5839 | 0.6929 | 0.5839 | 0.7641 |
| No log | 22.7059 | 386 | 0.6248 | 0.6843 | 0.6248 | 0.7904 |
| No log | 22.8235 | 388 | 0.6195 | 0.6843 | 0.6195 | 0.7871 |
| No log | 22.9412 | 390 | 0.5796 | 0.7221 | 0.5796 | 0.7613 |
| No log | 23.0588 | 392 | 0.5680 | 0.7499 | 0.5680 | 0.7537 |
| No log | 23.1765 | 394 | 0.5708 | 0.7547 | 0.5708 | 0.7555 |
| No log | 23.2941 | 396 | 0.5786 | 0.7707 | 0.5786 | 0.7606 |
| No log | 23.4118 | 398 | 0.6241 | 0.7394 | 0.6241 | 0.7900 |
| No log | 23.5294 | 400 | 0.6372 | 0.7089 | 0.6372 | 0.7982 |
| No log | 23.6471 | 402 | 0.6159 | 0.7204 | 0.6159 | 0.7848 |
| No log | 23.7647 | 404 | 0.5654 | 0.7521 | 0.5654 | 0.7520 |
| No log | 23.8824 | 406 | 0.5591 | 0.7609 | 0.5591 | 0.7478 |
| No log | 24.0 | 408 | 0.5990 | 0.7225 | 0.5990 | 0.7739 |
| No log | 24.1176 | 410 | 0.6174 | 0.7287 | 0.6174 | 0.7857 |
| No log | 24.2353 | 412 | 0.5816 | 0.7555 | 0.5816 | 0.7626 |
| No log | 24.3529 | 414 | 0.5813 | 0.7738 | 0.5813 | 0.7624 |
| No log | 24.4706 | 416 | 0.6765 | 0.7191 | 0.6765 | 0.8225 |
| No log | 24.5882 | 418 | 0.6879 | 0.7074 | 0.6879 | 0.8294 |
| No log | 24.7059 | 420 | 0.6674 | 0.6647 | 0.6674 | 0.8170 |
| No log | 24.8235 | 422 | 0.6025 | 0.6633 | 0.6025 | 0.7762 |
| No log | 24.9412 | 424 | 0.5752 | 0.7170 | 0.5752 | 0.7584 |
| No log | 25.0588 | 426 | 0.5654 | 0.7206 | 0.5654 | 0.7520 |
| No log | 25.1765 | 428 | 0.5552 | 0.7409 | 0.5552 | 0.7451 |
| No log | 25.2941 | 430 | 0.5481 | 0.7459 | 0.5481 | 0.7403 |
| No log | 25.4118 | 432 | 0.5562 | 0.7610 | 0.5562 | 0.7458 |
| No log | 25.5294 | 434 | 0.5604 | 0.7531 | 0.5604 | 0.7486 |
| No log | 25.6471 | 436 | 0.5570 | 0.7495 | 0.5570 | 0.7463 |
| No log | 25.7647 | 438 | 0.5593 | 0.7524 | 0.5593 | 0.7478 |
| No log | 25.8824 | 440 | 0.5599 | 0.7543 | 0.5599 | 0.7482 |
| No log | 26.0 | 442 | 0.5592 | 0.7375 | 0.5592 | 0.7478 |
| No log | 26.1176 | 444 | 0.5815 | 0.7088 | 0.5815 | 0.7626 |
| No log | 26.2353 | 446 | 0.6445 | 0.6916 | 0.6445 | 0.8028 |
| No log | 26.3529 | 448 | 0.6564 | 0.6916 | 0.6564 | 0.8102 |
| No log | 26.4706 | 450 | 0.6266 | 0.7294 | 0.6266 | 0.7916 |
| No log | 26.5882 | 452 | 0.6198 | 0.7585 | 0.6198 | 0.7873 |
| No log | 26.7059 | 454 | 0.6116 | 0.7517 | 0.6116 | 0.7820 |
| No log | 26.8235 | 456 | 0.6285 | 0.7531 | 0.6285 | 0.7928 |
| No log | 26.9412 | 458 | 0.6801 | 0.7172 | 0.6801 | 0.8247 |
| No log | 27.0588 | 460 | 0.7148 | 0.7179 | 0.7148 | 0.8454 |
| No log | 27.1765 | 462 | 0.6872 | 0.7049 | 0.6872 | 0.8290 |
| No log | 27.2941 | 464 | 0.6200 | 0.7361 | 0.6200 | 0.7874 |
| No log | 27.4118 | 466 | 0.5957 | 0.7299 | 0.5957 | 0.7718 |
| No log | 27.5294 | 468 | 0.6024 | 0.7199 | 0.6024 | 0.7762 |
| No log | 27.6471 | 470 | 0.6021 | 0.7300 | 0.6021 | 0.7759 |
| No log | 27.7647 | 472 | 0.5982 | 0.7228 | 0.5982 | 0.7734 |
| No log | 27.8824 | 474 | 0.6247 | 0.7025 | 0.6247 | 0.7904 |
| No log | 28.0 | 476 | 0.6248 | 0.7074 | 0.6248 | 0.7905 |
| No log | 28.1176 | 478 | 0.6038 | 0.7085 | 0.6038 | 0.7770 |
| No log | 28.2353 | 480 | 0.6048 | 0.7118 | 0.6048 | 0.7777 |
| No log | 28.3529 | 482 | 0.6242 | 0.7032 | 0.6242 | 0.7901 |
| No log | 28.4706 | 484 | 0.6427 | 0.7001 | 0.6427 | 0.8017 |
| No log | 28.5882 | 486 | 0.6316 | 0.7107 | 0.6316 | 0.7947 |
| No log | 28.7059 | 488 | 0.6456 | 0.7006 | 0.6456 | 0.8035 |
| No log | 28.8235 | 490 | 0.7025 | 0.6868 | 0.7025 | 0.8381 |
| No log | 28.9412 | 492 | 0.7715 | 0.6647 | 0.7715 | 0.8783 |
| No log | 29.0588 | 494 | 0.8460 | 0.6414 | 0.8460 | 0.9198 |
| No log | 29.1765 | 496 | 0.8278 | 0.6621 | 0.8278 | 0.9098 |
| No log | 29.2941 | 498 | 0.7778 | 0.6705 | 0.7778 | 0.8819 |
| 0.3823 | 29.4118 | 500 | 0.6641 | 0.7225 | 0.6641 | 0.8149 |
| 0.3823 | 29.5294 | 502 | 0.5957 | 0.7491 | 0.5957 | 0.7718 |
| 0.3823 | 29.6471 | 504 | 0.6236 | 0.6872 | 0.6236 | 0.7897 |
| 0.3823 | 29.7647 | 506 | 0.6491 | 0.6765 | 0.6491 | 0.8057 |
| 0.3823 | 29.8824 | 508 | 0.6221 | 0.6865 | 0.6221 | 0.7887 |
| 0.3823 | 30.0 | 510 | 0.5892 | 0.7457 | 0.5892 | 0.7676 |
| 0.3823 | 30.1176 | 512 | 0.6230 | 0.6837 | 0.6230 | 0.7893 |
| 0.3823 | 30.2353 | 514 | 0.6618 | 0.6754 | 0.6618 | 0.8135 |
| 0.3823 | 30.3529 | 516 | 0.6866 | 0.6596 | 0.6866 | 0.8286 |
| 0.3823 | 30.4706 | 518 | 0.6429 | 0.6962 | 0.6429 | 0.8018 |
| 0.3823 | 30.5882 | 520 | 0.5917 | 0.7190 | 0.5917 | 0.7692 |
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_run3_AugV5_k3_task1_organization
Base model
aubmindlab/bert-base-arabertv02