Instructions to use MayBashendy/ArabicNewSplits7_B_usingWellWrittenEssays_FineTuningAraBERT_run2_AugV5_k5_task5_organization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MayBashendy/ArabicNewSplits7_B_usingWellWrittenEssays_FineTuningAraBERT_run2_AugV5_k5_task5_organization with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="MayBashendy/ArabicNewSplits7_B_usingWellWrittenEssays_FineTuningAraBERT_run2_AugV5_k5_task5_organization")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("MayBashendy/ArabicNewSplits7_B_usingWellWrittenEssays_FineTuningAraBERT_run2_AugV5_k5_task5_organization") model = AutoModelForSequenceClassification.from_pretrained("MayBashendy/ArabicNewSplits7_B_usingWellWrittenEssays_FineTuningAraBERT_run2_AugV5_k5_task5_organization") - Notebooks
- Google Colab
- Kaggle
ArabicNewSplits7_B_usingWellWrittenEssays_FineTuningAraBERT_run2_AugV5_k5_task5_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: 0.5741
- Qwk: 0.6476
- Mse: 0.5741
- Rmse: 0.7577
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 | 0.0714 | 2 | 4.2665 | -0.0008 | 4.2665 | 2.0655 |
| No log | 0.1429 | 4 | 2.2553 | 0.0372 | 2.2553 | 1.5018 |
| No log | 0.2143 | 6 | 1.3937 | 0.0143 | 1.3937 | 1.1805 |
| No log | 0.2857 | 8 | 1.1633 | 0.2074 | 1.1633 | 1.0786 |
| No log | 0.3571 | 10 | 1.1179 | 0.1962 | 1.1179 | 1.0573 |
| No log | 0.4286 | 12 | 1.1117 | 0.1046 | 1.1117 | 1.0543 |
| No log | 0.5 | 14 | 1.1202 | 0.0888 | 1.1202 | 1.0584 |
| No log | 0.5714 | 16 | 1.1300 | 0.0888 | 1.1300 | 1.0630 |
| No log | 0.6429 | 18 | 1.1067 | 0.1767 | 1.1067 | 1.0520 |
| No log | 0.7143 | 20 | 1.0641 | 0.2068 | 1.0641 | 1.0315 |
| No log | 0.7857 | 22 | 1.0307 | 0.4309 | 1.0307 | 1.0152 |
| No log | 0.8571 | 24 | 1.0287 | 0.4301 | 1.0287 | 1.0142 |
| No log | 0.9286 | 26 | 1.0043 | 0.4439 | 1.0043 | 1.0021 |
| No log | 1.0 | 28 | 0.9673 | 0.3377 | 0.9673 | 0.9835 |
| No log | 1.0714 | 30 | 1.1320 | 0.2017 | 1.1320 | 1.0640 |
| No log | 1.1429 | 32 | 1.0725 | 0.3126 | 1.0725 | 1.0356 |
| No log | 1.2143 | 34 | 0.8753 | 0.4626 | 0.8753 | 0.9356 |
| No log | 1.2857 | 36 | 0.8905 | 0.4603 | 0.8905 | 0.9437 |
| No log | 1.3571 | 38 | 0.8542 | 0.4850 | 0.8542 | 0.9242 |
| No log | 1.4286 | 40 | 0.8431 | 0.5302 | 0.8431 | 0.9182 |
| No log | 1.5 | 42 | 0.8178 | 0.4878 | 0.8178 | 0.9043 |
| No log | 1.5714 | 44 | 0.9157 | 0.4460 | 0.9157 | 0.9569 |
| No log | 1.6429 | 46 | 1.0640 | 0.3361 | 1.0640 | 1.0315 |
| No log | 1.7143 | 48 | 1.2892 | 0.2748 | 1.2892 | 1.1354 |
| No log | 1.7857 | 50 | 1.0612 | 0.4321 | 1.0612 | 1.0302 |
| No log | 1.8571 | 52 | 0.7983 | 0.5264 | 0.7983 | 0.8935 |
| No log | 1.9286 | 54 | 0.7837 | 0.5524 | 0.7837 | 0.8853 |
| No log | 2.0 | 56 | 0.7894 | 0.5571 | 0.7894 | 0.8885 |
| No log | 2.0714 | 58 | 1.2080 | 0.3321 | 1.2080 | 1.0991 |
| No log | 2.1429 | 60 | 1.2520 | 0.3393 | 1.2520 | 1.1189 |
| No log | 2.2143 | 62 | 0.8305 | 0.5025 | 0.8305 | 0.9113 |
| No log | 2.2857 | 64 | 0.7834 | 0.5311 | 0.7834 | 0.8851 |
| No log | 2.3571 | 66 | 1.3820 | 0.3902 | 1.3820 | 1.1756 |
| No log | 2.4286 | 68 | 1.4530 | 0.2591 | 1.4530 | 1.2054 |
| No log | 2.5 | 70 | 1.0656 | 0.3461 | 1.0656 | 1.0323 |
| No log | 2.5714 | 72 | 0.6613 | 0.5988 | 0.6613 | 0.8132 |
| No log | 2.6429 | 74 | 0.6193 | 0.6043 | 0.6193 | 0.7869 |
| No log | 2.7143 | 76 | 0.6432 | 0.5810 | 0.6432 | 0.8020 |
| No log | 2.7857 | 78 | 0.6676 | 0.5810 | 0.6676 | 0.8171 |
| No log | 2.8571 | 80 | 0.7163 | 0.5568 | 0.7163 | 0.8463 |
| No log | 2.9286 | 82 | 0.8010 | 0.4563 | 0.8010 | 0.8950 |
| No log | 3.0 | 84 | 0.6922 | 0.5854 | 0.6922 | 0.8320 |
| No log | 3.0714 | 86 | 0.7260 | 0.5156 | 0.7260 | 0.8520 |
| No log | 3.1429 | 88 | 0.8056 | 0.5686 | 0.8056 | 0.8975 |
| No log | 3.2143 | 90 | 0.7165 | 0.5064 | 0.7165 | 0.8465 |
| No log | 3.2857 | 92 | 0.6686 | 0.6262 | 0.6686 | 0.8177 |
| No log | 3.3571 | 94 | 0.6857 | 0.5882 | 0.6857 | 0.8281 |
| No log | 3.4286 | 96 | 0.7259 | 0.5783 | 0.7259 | 0.8520 |
| No log | 3.5 | 98 | 0.7426 | 0.5653 | 0.7426 | 0.8618 |
| No log | 3.5714 | 100 | 0.7457 | 0.4995 | 0.7457 | 0.8635 |
| No log | 3.6429 | 102 | 0.7332 | 0.5503 | 0.7332 | 0.8563 |
| No log | 3.7143 | 104 | 0.7731 | 0.4893 | 0.7731 | 0.8793 |
| No log | 3.7857 | 106 | 0.7084 | 0.5868 | 0.7084 | 0.8417 |
| No log | 3.8571 | 108 | 0.7162 | 0.5726 | 0.7162 | 0.8463 |
| No log | 3.9286 | 110 | 0.7830 | 0.5151 | 0.7830 | 0.8849 |
| No log | 4.0 | 112 | 0.7588 | 0.5971 | 0.7588 | 0.8711 |
| No log | 4.0714 | 114 | 0.6628 | 0.6144 | 0.6628 | 0.8142 |
| No log | 4.1429 | 116 | 0.6312 | 0.6365 | 0.6312 | 0.7945 |
| No log | 4.2143 | 118 | 0.6237 | 0.6196 | 0.6237 | 0.7897 |
| No log | 4.2857 | 120 | 0.6221 | 0.6435 | 0.6221 | 0.7888 |
| No log | 4.3571 | 122 | 0.6542 | 0.6035 | 0.6542 | 0.8088 |
| No log | 4.4286 | 124 | 0.9259 | 0.4988 | 0.9259 | 0.9622 |
| No log | 4.5 | 126 | 1.0447 | 0.4383 | 1.0447 | 1.0221 |
| No log | 4.5714 | 128 | 0.9195 | 0.4272 | 0.9195 | 0.9589 |
| No log | 4.6429 | 130 | 0.7320 | 0.5770 | 0.7320 | 0.8556 |
| No log | 4.7143 | 132 | 0.6939 | 0.5759 | 0.6939 | 0.8330 |
| No log | 4.7857 | 134 | 0.9291 | 0.4440 | 0.9291 | 0.9639 |
| No log | 4.8571 | 136 | 1.0066 | 0.4835 | 1.0066 | 1.0033 |
| No log | 4.9286 | 138 | 0.8117 | 0.5552 | 0.8117 | 0.9010 |
| No log | 5.0 | 140 | 0.6526 | 0.6204 | 0.6526 | 0.8079 |
| No log | 5.0714 | 142 | 0.6687 | 0.5917 | 0.6687 | 0.8178 |
| No log | 5.1429 | 144 | 0.8723 | 0.4864 | 0.8723 | 0.9340 |
| No log | 5.2143 | 146 | 1.0586 | 0.4924 | 1.0586 | 1.0289 |
| No log | 5.2857 | 148 | 0.9457 | 0.4913 | 0.9457 | 0.9725 |
| No log | 5.3571 | 150 | 0.6355 | 0.6175 | 0.6355 | 0.7972 |
| No log | 5.4286 | 152 | 0.5955 | 0.6796 | 0.5955 | 0.7717 |
| No log | 5.5 | 154 | 0.6927 | 0.6476 | 0.6927 | 0.8323 |
| No log | 5.5714 | 156 | 0.8530 | 0.5531 | 0.8530 | 0.9236 |
| No log | 5.6429 | 158 | 0.8246 | 0.5541 | 0.8246 | 0.9080 |
| No log | 5.7143 | 160 | 0.7056 | 0.6338 | 0.7056 | 0.8400 |
| No log | 5.7857 | 162 | 0.6275 | 0.6684 | 0.6275 | 0.7921 |
| No log | 5.8571 | 164 | 0.6109 | 0.6482 | 0.6109 | 0.7816 |
| No log | 5.9286 | 166 | 0.5979 | 0.6301 | 0.5979 | 0.7732 |
| No log | 6.0 | 168 | 0.6413 | 0.6090 | 0.6413 | 0.8008 |
| No log | 6.0714 | 170 | 0.7700 | 0.5828 | 0.7700 | 0.8775 |
| No log | 6.1429 | 172 | 0.7908 | 0.5384 | 0.7908 | 0.8893 |
| No log | 6.2143 | 174 | 0.6283 | 0.5614 | 0.6283 | 0.7926 |
| No log | 6.2857 | 176 | 0.6760 | 0.5540 | 0.6760 | 0.8222 |
| No log | 6.3571 | 178 | 0.7876 | 0.5033 | 0.7876 | 0.8874 |
| No log | 6.4286 | 180 | 0.6972 | 0.5707 | 0.6972 | 0.8350 |
| No log | 6.5 | 182 | 0.6119 | 0.6476 | 0.6119 | 0.7822 |
| No log | 6.5714 | 184 | 0.7027 | 0.5828 | 0.7027 | 0.8383 |
| No log | 6.6429 | 186 | 0.6975 | 0.5828 | 0.6975 | 0.8351 |
| No log | 6.7143 | 188 | 0.6794 | 0.5606 | 0.6794 | 0.8242 |
| No log | 6.7857 | 190 | 0.6358 | 0.5938 | 0.6358 | 0.7974 |
| No log | 6.8571 | 192 | 0.6420 | 0.6231 | 0.6420 | 0.8012 |
| No log | 6.9286 | 194 | 0.6349 | 0.6499 | 0.6349 | 0.7968 |
| No log | 7.0 | 196 | 0.6403 | 0.5653 | 0.6403 | 0.8002 |
| No log | 7.0714 | 198 | 0.6734 | 0.5857 | 0.6734 | 0.8206 |
| No log | 7.1429 | 200 | 0.6284 | 0.5536 | 0.6284 | 0.7927 |
| No log | 7.2143 | 202 | 0.6629 | 0.5811 | 0.6629 | 0.8142 |
| No log | 7.2857 | 204 | 0.8095 | 0.4695 | 0.8095 | 0.8997 |
| No log | 7.3571 | 206 | 0.7548 | 0.5416 | 0.7548 | 0.8688 |
| No log | 7.4286 | 208 | 0.6300 | 0.6096 | 0.6300 | 0.7937 |
| No log | 7.5 | 210 | 0.6422 | 0.5870 | 0.6422 | 0.8014 |
| No log | 7.5714 | 212 | 0.6350 | 0.6436 | 0.6350 | 0.7969 |
| No log | 7.6429 | 214 | 0.6052 | 0.6593 | 0.6052 | 0.7779 |
| No log | 7.7143 | 216 | 0.6051 | 0.6593 | 0.6051 | 0.7779 |
| No log | 7.7857 | 218 | 0.6233 | 0.6533 | 0.6233 | 0.7895 |
| No log | 7.8571 | 220 | 0.6972 | 0.5759 | 0.6972 | 0.8350 |
| No log | 7.9286 | 222 | 0.6968 | 0.5759 | 0.6968 | 0.8348 |
| No log | 8.0 | 224 | 0.6391 | 0.6194 | 0.6391 | 0.7995 |
| No log | 8.0714 | 226 | 0.6192 | 0.5759 | 0.6192 | 0.7869 |
| No log | 8.1429 | 228 | 0.6156 | 0.5759 | 0.6156 | 0.7846 |
| No log | 8.2143 | 230 | 0.5999 | 0.6561 | 0.5999 | 0.7745 |
| No log | 8.2857 | 232 | 0.6299 | 0.5837 | 0.6299 | 0.7937 |
| No log | 8.3571 | 234 | 0.8276 | 0.5634 | 0.8276 | 0.9097 |
| No log | 8.4286 | 236 | 0.8864 | 0.5541 | 0.8864 | 0.9415 |
| No log | 8.5 | 238 | 0.7328 | 0.6092 | 0.7328 | 0.8560 |
| No log | 8.5714 | 240 | 0.5740 | 0.6499 | 0.5740 | 0.7576 |
| No log | 8.6429 | 242 | 0.5654 | 0.6113 | 0.5654 | 0.7519 |
| No log | 8.7143 | 244 | 0.5780 | 0.5759 | 0.5780 | 0.7603 |
| No log | 8.7857 | 246 | 0.6068 | 0.4966 | 0.6068 | 0.7790 |
| No log | 8.8571 | 248 | 0.6118 | 0.4966 | 0.6118 | 0.7822 |
| No log | 8.9286 | 250 | 0.6055 | 0.4951 | 0.6055 | 0.7781 |
| No log | 9.0 | 252 | 0.6208 | 0.5212 | 0.6208 | 0.7879 |
| No log | 9.0714 | 254 | 0.5938 | 0.6107 | 0.5938 | 0.7706 |
| No log | 9.1429 | 256 | 0.6066 | 0.5656 | 0.6066 | 0.7789 |
| No log | 9.2143 | 258 | 0.6727 | 0.5573 | 0.6727 | 0.8202 |
| No log | 9.2857 | 260 | 0.6699 | 0.4960 | 0.6699 | 0.8185 |
| No log | 9.3571 | 262 | 0.6765 | 0.4960 | 0.6765 | 0.8225 |
| No log | 9.4286 | 264 | 0.6542 | 0.5063 | 0.6542 | 0.8088 |
| No log | 9.5 | 266 | 0.6330 | 0.6322 | 0.6330 | 0.7956 |
| No log | 9.5714 | 268 | 0.6382 | 0.5879 | 0.6382 | 0.7989 |
| No log | 9.6429 | 270 | 0.6780 | 0.5686 | 0.6780 | 0.8234 |
| No log | 9.7143 | 272 | 0.6336 | 0.6479 | 0.6336 | 0.7960 |
| No log | 9.7857 | 274 | 0.5975 | 0.6269 | 0.5975 | 0.7730 |
| No log | 9.8571 | 276 | 0.6092 | 0.6425 | 0.6092 | 0.7805 |
| No log | 9.9286 | 278 | 0.6021 | 0.6067 | 0.6021 | 0.7759 |
| No log | 10.0 | 280 | 0.6475 | 0.6164 | 0.6475 | 0.8046 |
| No log | 10.0714 | 282 | 0.6595 | 0.5727 | 0.6595 | 0.8121 |
| No log | 10.1429 | 284 | 0.6665 | 0.5629 | 0.6665 | 0.8164 |
| No log | 10.2143 | 286 | 0.6057 | 0.6383 | 0.6057 | 0.7782 |
| No log | 10.2857 | 288 | 0.6097 | 0.6065 | 0.6097 | 0.7808 |
| No log | 10.3571 | 290 | 0.6255 | 0.6317 | 0.6255 | 0.7909 |
| No log | 10.4286 | 292 | 0.6794 | 0.5581 | 0.6794 | 0.8243 |
| No log | 10.5 | 294 | 0.7850 | 0.4837 | 0.7850 | 0.8860 |
| No log | 10.5714 | 296 | 0.7425 | 0.5381 | 0.7425 | 0.8617 |
| No log | 10.6429 | 298 | 0.6336 | 0.6241 | 0.6336 | 0.7960 |
| No log | 10.7143 | 300 | 0.6259 | 0.5992 | 0.6259 | 0.7911 |
| No log | 10.7857 | 302 | 0.6087 | 0.5883 | 0.6087 | 0.7802 |
| No log | 10.8571 | 304 | 0.5796 | 0.6491 | 0.5796 | 0.7613 |
| No log | 10.9286 | 306 | 0.7106 | 0.6241 | 0.7106 | 0.8430 |
| No log | 11.0 | 308 | 0.8908 | 0.5272 | 0.8908 | 0.9438 |
| No log | 11.0714 | 310 | 0.8988 | 0.5090 | 0.8988 | 0.9481 |
| No log | 11.1429 | 312 | 0.7158 | 0.5857 | 0.7158 | 0.8461 |
| No log | 11.2143 | 314 | 0.5773 | 0.5980 | 0.5773 | 0.7598 |
| No log | 11.2857 | 316 | 0.6557 | 0.5846 | 0.6557 | 0.8097 |
| No log | 11.3571 | 318 | 0.6464 | 0.5992 | 0.6464 | 0.8040 |
| No log | 11.4286 | 320 | 0.5970 | 0.6221 | 0.5970 | 0.7727 |
| No log | 11.5 | 322 | 0.6605 | 0.5818 | 0.6605 | 0.8127 |
| No log | 11.5714 | 324 | 0.7303 | 0.5154 | 0.7303 | 0.8546 |
| No log | 11.6429 | 326 | 0.6466 | 0.5659 | 0.6466 | 0.8041 |
| No log | 11.7143 | 328 | 0.5522 | 0.6888 | 0.5522 | 0.7431 |
| No log | 11.7857 | 330 | 0.6011 | 0.6429 | 0.6011 | 0.7753 |
| No log | 11.8571 | 332 | 0.6402 | 0.6071 | 0.6402 | 0.8001 |
| No log | 11.9286 | 334 | 0.6630 | 0.6071 | 0.6630 | 0.8143 |
| No log | 12.0 | 336 | 0.6558 | 0.5954 | 0.6558 | 0.8098 |
| No log | 12.0714 | 338 | 0.6472 | 0.5161 | 0.6472 | 0.8045 |
| No log | 12.1429 | 340 | 0.6451 | 0.4941 | 0.6451 | 0.8032 |
| No log | 12.2143 | 342 | 0.6511 | 0.5718 | 0.6511 | 0.8069 |
| No log | 12.2857 | 344 | 0.6149 | 0.6248 | 0.6149 | 0.7842 |
| No log | 12.3571 | 346 | 0.5564 | 0.6716 | 0.5564 | 0.7459 |
| No log | 12.4286 | 348 | 0.5345 | 0.6846 | 0.5345 | 0.7311 |
| No log | 12.5 | 350 | 0.6174 | 0.6199 | 0.6174 | 0.7857 |
| No log | 12.5714 | 352 | 0.6332 | 0.6377 | 0.6332 | 0.7957 |
| No log | 12.6429 | 354 | 0.5679 | 0.6555 | 0.5679 | 0.7536 |
| No log | 12.7143 | 356 | 0.5395 | 0.6720 | 0.5395 | 0.7345 |
| No log | 12.7857 | 358 | 0.5565 | 0.6316 | 0.5565 | 0.7460 |
| No log | 12.8571 | 360 | 0.5816 | 0.6322 | 0.5816 | 0.7626 |
| No log | 12.9286 | 362 | 0.5959 | 0.6322 | 0.5959 | 0.7719 |
| No log | 13.0 | 364 | 0.5836 | 0.6302 | 0.5836 | 0.7639 |
| No log | 13.0714 | 366 | 0.5853 | 0.6118 | 0.5853 | 0.7651 |
| No log | 13.1429 | 368 | 0.5826 | 0.6118 | 0.5826 | 0.7633 |
| No log | 13.2143 | 370 | 0.6134 | 0.6129 | 0.6134 | 0.7832 |
| No log | 13.2857 | 372 | 0.6311 | 0.5909 | 0.6311 | 0.7944 |
| No log | 13.3571 | 374 | 0.6735 | 0.5372 | 0.6735 | 0.8207 |
| No log | 13.4286 | 376 | 0.6359 | 0.6111 | 0.6359 | 0.7974 |
| No log | 13.5 | 378 | 0.6043 | 0.5987 | 0.6043 | 0.7774 |
| No log | 13.5714 | 380 | 0.5498 | 0.6812 | 0.5498 | 0.7415 |
| No log | 13.6429 | 382 | 0.5295 | 0.6398 | 0.5295 | 0.7277 |
| No log | 13.7143 | 384 | 0.5344 | 0.6424 | 0.5344 | 0.7310 |
| No log | 13.7857 | 386 | 0.5502 | 0.6498 | 0.5502 | 0.7417 |
| No log | 13.8571 | 388 | 0.5656 | 0.6400 | 0.5656 | 0.7521 |
| No log | 13.9286 | 390 | 0.5563 | 0.6364 | 0.5563 | 0.7459 |
| No log | 14.0 | 392 | 0.5502 | 0.6681 | 0.5502 | 0.7418 |
| No log | 14.0714 | 394 | 0.5624 | 0.6197 | 0.5624 | 0.7500 |
| No log | 14.1429 | 396 | 0.5637 | 0.6488 | 0.5637 | 0.7508 |
| No log | 14.2143 | 398 | 0.5807 | 0.6588 | 0.5807 | 0.7620 |
| No log | 14.2857 | 400 | 0.5848 | 0.6017 | 0.5848 | 0.7647 |
| No log | 14.3571 | 402 | 0.5670 | 0.6796 | 0.5670 | 0.7530 |
| No log | 14.4286 | 404 | 0.5605 | 0.6407 | 0.5605 | 0.7487 |
| No log | 14.5 | 406 | 0.5511 | 0.6606 | 0.5511 | 0.7424 |
| No log | 14.5714 | 408 | 0.5599 | 0.6175 | 0.5599 | 0.7483 |
| No log | 14.6429 | 410 | 0.6032 | 0.6217 | 0.6032 | 0.7767 |
| No log | 14.7143 | 412 | 0.6354 | 0.6495 | 0.6354 | 0.7971 |
| No log | 14.7857 | 414 | 0.6114 | 0.6217 | 0.6114 | 0.7819 |
| No log | 14.8571 | 416 | 0.6030 | 0.6217 | 0.6030 | 0.7766 |
| No log | 14.9286 | 418 | 0.6059 | 0.6312 | 0.6059 | 0.7784 |
| No log | 15.0 | 420 | 0.6190 | 0.6620 | 0.6190 | 0.7868 |
| No log | 15.0714 | 422 | 0.6345 | 0.6620 | 0.6345 | 0.7966 |
| No log | 15.1429 | 424 | 0.6201 | 0.6634 | 0.6201 | 0.7875 |
| No log | 15.2143 | 426 | 0.6255 | 0.5983 | 0.6255 | 0.7909 |
| No log | 15.2857 | 428 | 0.6358 | 0.5983 | 0.6358 | 0.7974 |
| No log | 15.3571 | 430 | 0.6366 | 0.5983 | 0.6366 | 0.7979 |
| No log | 15.4286 | 432 | 0.6348 | 0.5983 | 0.6348 | 0.7967 |
| No log | 15.5 | 434 | 0.6501 | 0.5331 | 0.6501 | 0.8063 |
| No log | 15.5714 | 436 | 0.6482 | 0.6139 | 0.6482 | 0.8051 |
| No log | 15.6429 | 438 | 0.6261 | 0.6470 | 0.6261 | 0.7912 |
| No log | 15.7143 | 440 | 0.6394 | 0.6555 | 0.6394 | 0.7996 |
| No log | 15.7857 | 442 | 0.6537 | 0.6305 | 0.6537 | 0.8085 |
| No log | 15.8571 | 444 | 0.6602 | 0.6128 | 0.6602 | 0.8125 |
| No log | 15.9286 | 446 | 0.6249 | 0.6545 | 0.6249 | 0.7905 |
| No log | 16.0 | 448 | 0.6311 | 0.6204 | 0.6311 | 0.7944 |
| No log | 16.0714 | 450 | 0.6468 | 0.6035 | 0.6468 | 0.8042 |
| No log | 16.1429 | 452 | 0.6469 | 0.5936 | 0.6469 | 0.8043 |
| No log | 16.2143 | 454 | 0.6324 | 0.5936 | 0.6324 | 0.7952 |
| No log | 16.2857 | 456 | 0.6121 | 0.6444 | 0.6121 | 0.7824 |
| No log | 16.3571 | 458 | 0.6223 | 0.6035 | 0.6223 | 0.7889 |
| No log | 16.4286 | 460 | 0.6295 | 0.5912 | 0.6295 | 0.7934 |
| No log | 16.5 | 462 | 0.5971 | 0.6256 | 0.5971 | 0.7727 |
| No log | 16.5714 | 464 | 0.5903 | 0.6256 | 0.5903 | 0.7683 |
| No log | 16.6429 | 466 | 0.6188 | 0.6488 | 0.6188 | 0.7866 |
| No log | 16.7143 | 468 | 0.6490 | 0.5659 | 0.6490 | 0.8056 |
| No log | 16.7857 | 470 | 0.6406 | 0.6204 | 0.6406 | 0.8004 |
| No log | 16.8571 | 472 | 0.6018 | 0.6479 | 0.6018 | 0.7757 |
| No log | 16.9286 | 474 | 0.5797 | 0.6272 | 0.5797 | 0.7614 |
| No log | 17.0 | 476 | 0.5956 | 0.6593 | 0.5956 | 0.7717 |
| No log | 17.0714 | 478 | 0.5994 | 0.6555 | 0.5994 | 0.7742 |
| No log | 17.1429 | 480 | 0.6104 | 0.6482 | 0.6104 | 0.7813 |
| No log | 17.2143 | 482 | 0.6104 | 0.6370 | 0.6104 | 0.7813 |
| No log | 17.2857 | 484 | 0.5848 | 0.6219 | 0.5848 | 0.7647 |
| No log | 17.3571 | 486 | 0.5990 | 0.6507 | 0.5990 | 0.7740 |
| No log | 17.4286 | 488 | 0.6030 | 0.6184 | 0.6030 | 0.7765 |
| No log | 17.5 | 490 | 0.5717 | 0.5982 | 0.5717 | 0.7561 |
| No log | 17.5714 | 492 | 0.5485 | 0.7186 | 0.5485 | 0.7406 |
| No log | 17.6429 | 494 | 0.5630 | 0.6664 | 0.5630 | 0.7503 |
| No log | 17.7143 | 496 | 0.5565 | 0.6704 | 0.5565 | 0.7460 |
| No log | 17.7857 | 498 | 0.5446 | 0.7291 | 0.5446 | 0.7380 |
| 0.2822 | 17.8571 | 500 | 0.5554 | 0.6556 | 0.5554 | 0.7453 |
| 0.2822 | 17.9286 | 502 | 0.5801 | 0.6298 | 0.5801 | 0.7617 |
| 0.2822 | 18.0 | 504 | 0.5717 | 0.6322 | 0.5717 | 0.7561 |
| 0.2822 | 18.0714 | 506 | 0.5539 | 0.6750 | 0.5539 | 0.7443 |
| 0.2822 | 18.1429 | 508 | 0.5489 | 0.7017 | 0.5489 | 0.7409 |
| 0.2822 | 18.2143 | 510 | 0.5661 | 0.6788 | 0.5661 | 0.7524 |
| 0.2822 | 18.2857 | 512 | 0.5660 | 0.6833 | 0.5660 | 0.7523 |
| 0.2822 | 18.3571 | 514 | 0.5586 | 0.6648 | 0.5586 | 0.7474 |
| 0.2822 | 18.4286 | 516 | 0.5457 | 0.7075 | 0.5457 | 0.7387 |
| 0.2822 | 18.5 | 518 | 0.5421 | 0.7165 | 0.5421 | 0.7363 |
| 0.2822 | 18.5714 | 520 | 0.5708 | 0.6862 | 0.5708 | 0.7555 |
| 0.2822 | 18.6429 | 522 | 0.5475 | 0.6963 | 0.5475 | 0.7399 |
| 0.2822 | 18.7143 | 524 | 0.5257 | 0.7208 | 0.5257 | 0.7250 |
| 0.2822 | 18.7857 | 526 | 0.5263 | 0.7075 | 0.5263 | 0.7255 |
| 0.2822 | 18.8571 | 528 | 0.5294 | 0.7017 | 0.5294 | 0.7276 |
| 0.2822 | 18.9286 | 530 | 0.5461 | 0.7017 | 0.5461 | 0.7390 |
| 0.2822 | 19.0 | 532 | 0.5487 | 0.6958 | 0.5487 | 0.7407 |
| 0.2822 | 19.0714 | 534 | 0.5699 | 0.6401 | 0.5699 | 0.7549 |
| 0.2822 | 19.1429 | 536 | 0.6250 | 0.6058 | 0.6250 | 0.7905 |
| 0.2822 | 19.2143 | 538 | 0.6399 | 0.5623 | 0.6399 | 0.7999 |
| 0.2822 | 19.2857 | 540 | 0.6155 | 0.6172 | 0.6155 | 0.7845 |
| 0.2822 | 19.3571 | 542 | 0.5741 | 0.6476 | 0.5741 | 0.7577 |
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/ArabicNewSplits7_B_usingWellWrittenEssays_FineTuningAraBERT_run2_AugV5_k5_task5_organization
Base model
aubmindlab/bert-base-arabertv02