Instructions to use MayBashendy/ArabicNewSplits8_usingWellWrittenEssays_FineTuningAraBERT_run2_AugV5_k13_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_run2_AugV5_k13_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_run2_AugV5_k13_task1_organization")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("MayBashendy/ArabicNewSplits8_usingWellWrittenEssays_FineTuningAraBERT_run2_AugV5_k13_task1_organization") model = AutoModelForSequenceClassification.from_pretrained("MayBashendy/ArabicNewSplits8_usingWellWrittenEssays_FineTuningAraBERT_run2_AugV5_k13_task1_organization", device_map="auto") - Notebooks
- Google Colab
- Kaggle
ArabicNewSplits8_usingWellWrittenEssays_FineTuningAraBERT_run2_AugV5_k13_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: 0.9344
- Qwk: 0.6714
- Mse: 0.9344
- Rmse: 0.9666
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 | 0.0312 | 2 | 5.5289 | -0.0008 | 5.5289 | 2.3514 |
| No log | 0.0625 | 4 | 3.1761 | 0.0362 | 3.1761 | 1.7822 |
| No log | 0.0938 | 6 | 2.2631 | -0.0310 | 2.2631 | 1.5044 |
| No log | 0.125 | 8 | 1.7654 | 0.1664 | 1.7654 | 1.3287 |
| No log | 0.1562 | 10 | 1.2401 | 0.1888 | 1.2401 | 1.1136 |
| No log | 0.1875 | 12 | 1.4515 | 0.1517 | 1.4515 | 1.2048 |
| No log | 0.2188 | 14 | 2.2758 | 0.0512 | 2.2758 | 1.5086 |
| No log | 0.25 | 16 | 2.0276 | 0.0875 | 2.0276 | 1.4239 |
| No log | 0.2812 | 18 | 1.4642 | 0.0527 | 1.4642 | 1.2100 |
| No log | 0.3125 | 20 | 1.1554 | 0.2557 | 1.1554 | 1.0749 |
| No log | 0.3438 | 22 | 1.0923 | 0.2729 | 1.0923 | 1.0451 |
| No log | 0.375 | 24 | 1.1057 | 0.2965 | 1.1057 | 1.0515 |
| No log | 0.4062 | 26 | 1.2948 | 0.1806 | 1.2948 | 1.1379 |
| No log | 0.4375 | 28 | 1.7807 | 0.0439 | 1.7807 | 1.3344 |
| No log | 0.4688 | 30 | 1.8487 | -0.0317 | 1.8487 | 1.3597 |
| No log | 0.5 | 32 | 1.8185 | -0.0588 | 1.8185 | 1.3485 |
| No log | 0.5312 | 34 | 1.3992 | 0.1183 | 1.3992 | 1.1829 |
| No log | 0.5625 | 36 | 1.0006 | 0.4379 | 1.0006 | 1.0003 |
| No log | 0.5938 | 38 | 1.0270 | 0.3745 | 1.0270 | 1.0134 |
| No log | 0.625 | 40 | 0.9632 | 0.4759 | 0.9632 | 0.9814 |
| No log | 0.6562 | 42 | 0.9228 | 0.5028 | 0.9228 | 0.9606 |
| No log | 0.6875 | 44 | 1.0314 | 0.4238 | 1.0314 | 1.0156 |
| No log | 0.7188 | 46 | 1.0103 | 0.4238 | 1.0103 | 1.0052 |
| No log | 0.75 | 48 | 0.8779 | 0.5219 | 0.8779 | 0.9370 |
| No log | 0.7812 | 50 | 0.8395 | 0.5524 | 0.8395 | 0.9162 |
| No log | 0.8125 | 52 | 0.8288 | 0.5772 | 0.8288 | 0.9104 |
| No log | 0.8438 | 54 | 0.8037 | 0.6263 | 0.8037 | 0.8965 |
| No log | 0.875 | 56 | 0.9242 | 0.5638 | 0.9242 | 0.9613 |
| No log | 0.9062 | 58 | 1.2713 | 0.4572 | 1.2713 | 1.1275 |
| No log | 0.9375 | 60 | 1.5902 | 0.3512 | 1.5902 | 1.2610 |
| No log | 0.9688 | 62 | 1.3687 | 0.3896 | 1.3687 | 1.1699 |
| No log | 1.0 | 64 | 0.9903 | 0.5209 | 0.9903 | 0.9951 |
| No log | 1.0312 | 66 | 0.7921 | 0.5903 | 0.7921 | 0.8900 |
| No log | 1.0625 | 68 | 0.8391 | 0.5224 | 0.8391 | 0.9160 |
| No log | 1.0938 | 70 | 0.8157 | 0.5488 | 0.8157 | 0.9032 |
| No log | 1.125 | 72 | 0.7763 | 0.5658 | 0.7763 | 0.8811 |
| No log | 1.1562 | 74 | 0.8511 | 0.5142 | 0.8511 | 0.9225 |
| No log | 1.1875 | 76 | 0.9960 | 0.5333 | 0.9960 | 0.9980 |
| No log | 1.2188 | 78 | 0.9879 | 0.5194 | 0.9879 | 0.9939 |
| No log | 1.25 | 80 | 1.0095 | 0.4737 | 1.0095 | 1.0047 |
| No log | 1.2812 | 82 | 0.9254 | 0.6017 | 0.9254 | 0.9620 |
| No log | 1.3125 | 84 | 0.9693 | 0.5401 | 0.9693 | 0.9845 |
| No log | 1.3438 | 86 | 0.9942 | 0.5029 | 0.9942 | 0.9971 |
| No log | 1.375 | 88 | 1.0961 | 0.4624 | 1.0961 | 1.0470 |
| No log | 1.4062 | 90 | 1.1380 | 0.4294 | 1.1380 | 1.0668 |
| No log | 1.4375 | 92 | 1.0256 | 0.4592 | 1.0256 | 1.0127 |
| No log | 1.4688 | 94 | 0.9049 | 0.5057 | 0.9049 | 0.9513 |
| No log | 1.5 | 96 | 0.8714 | 0.5187 | 0.8714 | 0.9335 |
| No log | 1.5312 | 98 | 0.8538 | 0.5353 | 0.8538 | 0.9240 |
| No log | 1.5625 | 100 | 0.8466 | 0.5828 | 0.8466 | 0.9201 |
| No log | 1.5938 | 102 | 0.9887 | 0.5536 | 0.9887 | 0.9943 |
| No log | 1.625 | 104 | 1.0913 | 0.5208 | 1.0913 | 1.0447 |
| No log | 1.6562 | 106 | 1.0046 | 0.5960 | 1.0046 | 1.0023 |
| No log | 1.6875 | 108 | 0.9383 | 0.6050 | 0.9383 | 0.9686 |
| No log | 1.7188 | 110 | 0.9226 | 0.5965 | 0.9226 | 0.9605 |
| No log | 1.75 | 112 | 1.0354 | 0.5704 | 1.0354 | 1.0176 |
| No log | 1.7812 | 114 | 1.3753 | 0.3982 | 1.3753 | 1.1727 |
| No log | 1.8125 | 116 | 1.4782 | 0.3815 | 1.4782 | 1.2158 |
| No log | 1.8438 | 118 | 1.3362 | 0.4151 | 1.3362 | 1.1559 |
| No log | 1.875 | 120 | 1.0660 | 0.4920 | 1.0660 | 1.0325 |
| No log | 1.9062 | 122 | 0.8371 | 0.5883 | 0.8371 | 0.9149 |
| No log | 1.9375 | 124 | 0.8064 | 0.4830 | 0.8064 | 0.8980 |
| No log | 1.9688 | 126 | 0.7962 | 0.4981 | 0.7962 | 0.8923 |
| No log | 2.0 | 128 | 0.7960 | 0.5196 | 0.7960 | 0.8922 |
| No log | 2.0312 | 130 | 0.8127 | 0.5892 | 0.8127 | 0.9015 |
| No log | 2.0625 | 132 | 0.9388 | 0.5557 | 0.9388 | 0.9689 |
| No log | 2.0938 | 134 | 1.1140 | 0.4761 | 1.1140 | 1.0555 |
| No log | 2.125 | 136 | 1.2407 | 0.4600 | 1.2407 | 1.1139 |
| No log | 2.1562 | 138 | 1.2150 | 0.4487 | 1.2150 | 1.1023 |
| No log | 2.1875 | 140 | 0.9744 | 0.5290 | 0.9744 | 0.9871 |
| No log | 2.2188 | 142 | 0.8621 | 0.5995 | 0.8621 | 0.9285 |
| No log | 2.25 | 144 | 0.9393 | 0.5615 | 0.9393 | 0.9692 |
| No log | 2.2812 | 146 | 0.9939 | 0.5295 | 0.9939 | 0.9969 |
| No log | 2.3125 | 148 | 0.9591 | 0.5566 | 0.9591 | 0.9793 |
| No log | 2.3438 | 150 | 0.9865 | 0.5124 | 0.9865 | 0.9932 |
| No log | 2.375 | 152 | 0.9183 | 0.6001 | 0.9183 | 0.9583 |
| No log | 2.4062 | 154 | 0.7881 | 0.6370 | 0.7881 | 0.8877 |
| No log | 2.4375 | 156 | 0.7416 | 0.6592 | 0.7416 | 0.8612 |
| No log | 2.4688 | 158 | 0.7492 | 0.6300 | 0.7492 | 0.8656 |
| No log | 2.5 | 160 | 0.7094 | 0.6757 | 0.7094 | 0.8422 |
| No log | 2.5312 | 162 | 0.7871 | 0.6265 | 0.7871 | 0.8872 |
| No log | 2.5625 | 164 | 0.8867 | 0.6032 | 0.8867 | 0.9416 |
| No log | 2.5938 | 166 | 0.8027 | 0.6330 | 0.8027 | 0.8960 |
| No log | 2.625 | 168 | 0.6758 | 0.6932 | 0.6758 | 0.8221 |
| No log | 2.6562 | 170 | 0.6629 | 0.6792 | 0.6629 | 0.8142 |
| No log | 2.6875 | 172 | 0.6610 | 0.6537 | 0.6610 | 0.8130 |
| No log | 2.7188 | 174 | 0.6908 | 0.6542 | 0.6908 | 0.8311 |
| No log | 2.75 | 176 | 0.7405 | 0.5929 | 0.7405 | 0.8605 |
| No log | 2.7812 | 178 | 0.7248 | 0.5985 | 0.7248 | 0.8513 |
| No log | 2.8125 | 180 | 0.7179 | 0.6298 | 0.7179 | 0.8473 |
| No log | 2.8438 | 182 | 0.7482 | 0.6552 | 0.7482 | 0.8650 |
| No log | 2.875 | 184 | 0.7595 | 0.6676 | 0.7595 | 0.8715 |
| No log | 2.9062 | 186 | 0.7987 | 0.6382 | 0.7987 | 0.8937 |
| No log | 2.9375 | 188 | 0.7755 | 0.6768 | 0.7755 | 0.8806 |
| No log | 2.9688 | 190 | 0.6702 | 0.6878 | 0.6702 | 0.8187 |
| No log | 3.0 | 192 | 0.6482 | 0.6823 | 0.6482 | 0.8051 |
| No log | 3.0312 | 194 | 0.7010 | 0.6623 | 0.7010 | 0.8373 |
| No log | 3.0625 | 196 | 0.7317 | 0.6460 | 0.7317 | 0.8554 |
| No log | 3.0938 | 198 | 0.6738 | 0.6437 | 0.6738 | 0.8209 |
| No log | 3.125 | 200 | 0.6651 | 0.6850 | 0.6651 | 0.8155 |
| No log | 3.1562 | 202 | 0.6917 | 0.6827 | 0.6917 | 0.8317 |
| No log | 3.1875 | 204 | 0.6788 | 0.6817 | 0.6788 | 0.8239 |
| No log | 3.2188 | 206 | 0.6450 | 0.7003 | 0.6450 | 0.8031 |
| No log | 3.25 | 208 | 0.6563 | 0.6959 | 0.6563 | 0.8101 |
| No log | 3.2812 | 210 | 0.6658 | 0.6963 | 0.6658 | 0.8160 |
| No log | 3.3125 | 212 | 0.6784 | 0.6899 | 0.6784 | 0.8236 |
| No log | 3.3438 | 214 | 0.6949 | 0.6844 | 0.6949 | 0.8336 |
| No log | 3.375 | 216 | 0.7194 | 0.6747 | 0.7194 | 0.8482 |
| No log | 3.4062 | 218 | 0.7522 | 0.6575 | 0.7522 | 0.8673 |
| No log | 3.4375 | 220 | 0.7620 | 0.6744 | 0.7620 | 0.8729 |
| No log | 3.4688 | 222 | 0.7599 | 0.6589 | 0.7599 | 0.8717 |
| No log | 3.5 | 224 | 0.8505 | 0.6034 | 0.8505 | 0.9222 |
| No log | 3.5312 | 226 | 0.9147 | 0.5754 | 0.9147 | 0.9564 |
| No log | 3.5625 | 228 | 0.8749 | 0.5793 | 0.8749 | 0.9354 |
| No log | 3.5938 | 230 | 0.7554 | 0.6563 | 0.7554 | 0.8692 |
| No log | 3.625 | 232 | 0.7176 | 0.6415 | 0.7176 | 0.8471 |
| No log | 3.6562 | 234 | 0.7317 | 0.6412 | 0.7317 | 0.8554 |
| No log | 3.6875 | 236 | 0.7996 | 0.6359 | 0.7996 | 0.8942 |
| No log | 3.7188 | 238 | 0.8844 | 0.5716 | 0.8844 | 0.9404 |
| No log | 3.75 | 240 | 1.0728 | 0.5357 | 1.0728 | 1.0358 |
| No log | 3.7812 | 242 | 1.1367 | 0.5343 | 1.1367 | 1.0662 |
| No log | 3.8125 | 244 | 1.1079 | 0.5443 | 1.1079 | 1.0526 |
| No log | 3.8438 | 246 | 1.0064 | 0.5793 | 1.0064 | 1.0032 |
| No log | 3.875 | 248 | 0.8587 | 0.6204 | 0.8587 | 0.9267 |
| No log | 3.9062 | 250 | 0.8181 | 0.6702 | 0.8181 | 0.9045 |
| No log | 3.9375 | 252 | 0.8573 | 0.5884 | 0.8573 | 0.9259 |
| No log | 3.9688 | 254 | 0.7801 | 0.6774 | 0.7801 | 0.8832 |
| No log | 4.0 | 256 | 0.7122 | 0.6533 | 0.7122 | 0.8439 |
| No log | 4.0312 | 258 | 0.7246 | 0.5767 | 0.7246 | 0.8512 |
| No log | 4.0625 | 260 | 0.7086 | 0.5861 | 0.7086 | 0.8418 |
| No log | 4.0938 | 262 | 0.6929 | 0.6941 | 0.6929 | 0.8324 |
| No log | 4.125 | 264 | 0.7130 | 0.7099 | 0.7130 | 0.8444 |
| No log | 4.1562 | 266 | 0.7007 | 0.7150 | 0.7007 | 0.8371 |
| No log | 4.1875 | 268 | 0.6707 | 0.6717 | 0.6707 | 0.8190 |
| No log | 4.2188 | 270 | 0.6741 | 0.6792 | 0.6741 | 0.8210 |
| No log | 4.25 | 272 | 0.6880 | 0.6931 | 0.6880 | 0.8294 |
| No log | 4.2812 | 274 | 0.7328 | 0.6128 | 0.7328 | 0.8560 |
| No log | 4.3125 | 276 | 0.7751 | 0.6081 | 0.7751 | 0.8804 |
| No log | 4.3438 | 278 | 0.8239 | 0.5937 | 0.8239 | 0.9077 |
| No log | 4.375 | 280 | 0.7874 | 0.6075 | 0.7874 | 0.8874 |
| No log | 4.4062 | 282 | 0.7495 | 0.6421 | 0.7495 | 0.8657 |
| No log | 4.4375 | 284 | 0.7180 | 0.6822 | 0.7180 | 0.8474 |
| No log | 4.4688 | 286 | 0.7371 | 0.6725 | 0.7371 | 0.8586 |
| No log | 4.5 | 288 | 0.7693 | 0.6301 | 0.7693 | 0.8771 |
| No log | 4.5312 | 290 | 0.8308 | 0.5855 | 0.8308 | 0.9115 |
| No log | 4.5625 | 292 | 0.8388 | 0.5856 | 0.8388 | 0.9158 |
| No log | 4.5938 | 294 | 0.7763 | 0.6208 | 0.7763 | 0.8811 |
| No log | 4.625 | 296 | 0.7335 | 0.6266 | 0.7335 | 0.8564 |
| No log | 4.6562 | 298 | 0.7438 | 0.6352 | 0.7438 | 0.8624 |
| No log | 4.6875 | 300 | 0.7959 | 0.6059 | 0.7959 | 0.8921 |
| No log | 4.7188 | 302 | 0.7350 | 0.6295 | 0.7350 | 0.8573 |
| No log | 4.75 | 304 | 0.6539 | 0.6558 | 0.6539 | 0.8086 |
| No log | 4.7812 | 306 | 0.6588 | 0.6704 | 0.6588 | 0.8117 |
| No log | 4.8125 | 308 | 0.6776 | 0.6598 | 0.6776 | 0.8231 |
| No log | 4.8438 | 310 | 0.7161 | 0.6465 | 0.7161 | 0.8462 |
| No log | 4.875 | 312 | 0.8072 | 0.6016 | 0.8072 | 0.8985 |
| No log | 4.9062 | 314 | 0.8935 | 0.5500 | 0.8935 | 0.9452 |
| No log | 4.9375 | 316 | 0.8535 | 0.6119 | 0.8535 | 0.9239 |
| No log | 4.9688 | 318 | 0.8080 | 0.6198 | 0.8080 | 0.8989 |
| No log | 5.0 | 320 | 0.7702 | 0.6380 | 0.7702 | 0.8776 |
| No log | 5.0312 | 322 | 0.7609 | 0.6573 | 0.7609 | 0.8723 |
| No log | 5.0625 | 324 | 0.7084 | 0.6704 | 0.7084 | 0.8417 |
| No log | 5.0938 | 326 | 0.6757 | 0.6175 | 0.6757 | 0.8220 |
| No log | 5.125 | 328 | 0.6775 | 0.6301 | 0.6775 | 0.8231 |
| No log | 5.1562 | 330 | 0.6774 | 0.6383 | 0.6774 | 0.8231 |
| No log | 5.1875 | 332 | 0.6398 | 0.6810 | 0.6398 | 0.7999 |
| No log | 5.2188 | 334 | 0.6132 | 0.7002 | 0.6132 | 0.7831 |
| No log | 5.25 | 336 | 0.6415 | 0.7133 | 0.6415 | 0.8009 |
| No log | 5.2812 | 338 | 0.7150 | 0.7169 | 0.7150 | 0.8456 |
| No log | 5.3125 | 340 | 0.7732 | 0.6930 | 0.7732 | 0.8793 |
| No log | 5.3438 | 342 | 0.7735 | 0.6945 | 0.7735 | 0.8795 |
| No log | 5.375 | 344 | 0.7546 | 0.7075 | 0.7546 | 0.8687 |
| No log | 5.4062 | 346 | 0.7801 | 0.6672 | 0.7801 | 0.8832 |
| No log | 5.4375 | 348 | 0.8033 | 0.6604 | 0.8033 | 0.8963 |
| No log | 5.4688 | 350 | 0.8612 | 0.6225 | 0.8612 | 0.9280 |
| No log | 5.5 | 352 | 0.8234 | 0.6213 | 0.8234 | 0.9074 |
| No log | 5.5312 | 354 | 0.7020 | 0.7088 | 0.7020 | 0.8378 |
| No log | 5.5625 | 356 | 0.6446 | 0.7068 | 0.6446 | 0.8029 |
| No log | 5.5938 | 358 | 0.6392 | 0.6927 | 0.6392 | 0.7995 |
| No log | 5.625 | 360 | 0.6298 | 0.6964 | 0.6298 | 0.7936 |
| No log | 5.6562 | 362 | 0.6383 | 0.6962 | 0.6383 | 0.7990 |
| No log | 5.6875 | 364 | 0.6429 | 0.6926 | 0.6429 | 0.8018 |
| No log | 5.7188 | 366 | 0.6848 | 0.6884 | 0.6848 | 0.8275 |
| No log | 5.75 | 368 | 0.7965 | 0.6813 | 0.7965 | 0.8925 |
| No log | 5.7812 | 370 | 0.8718 | 0.6701 | 0.8718 | 0.9337 |
| No log | 5.8125 | 372 | 0.8237 | 0.6737 | 0.8237 | 0.9076 |
| No log | 5.8438 | 374 | 0.7684 | 0.6793 | 0.7684 | 0.8766 |
| No log | 5.875 | 376 | 0.7272 | 0.6952 | 0.7272 | 0.8527 |
| No log | 5.9062 | 378 | 0.7002 | 0.6668 | 0.7002 | 0.8368 |
| No log | 5.9375 | 380 | 0.6926 | 0.6535 | 0.6926 | 0.8322 |
| No log | 5.9688 | 382 | 0.6786 | 0.6728 | 0.6786 | 0.8237 |
| No log | 6.0 | 384 | 0.6793 | 0.6849 | 0.6793 | 0.8242 |
| No log | 6.0312 | 386 | 0.7212 | 0.6799 | 0.7212 | 0.8492 |
| No log | 6.0625 | 388 | 0.7650 | 0.6558 | 0.7650 | 0.8747 |
| No log | 6.0938 | 390 | 0.7284 | 0.6675 | 0.7284 | 0.8535 |
| No log | 6.125 | 392 | 0.6542 | 0.6850 | 0.6542 | 0.8088 |
| No log | 6.1562 | 394 | 0.6373 | 0.6902 | 0.6373 | 0.7983 |
| No log | 6.1875 | 396 | 0.6241 | 0.6843 | 0.6241 | 0.7900 |
| No log | 6.2188 | 398 | 0.6381 | 0.6728 | 0.6381 | 0.7988 |
| No log | 6.25 | 400 | 0.6256 | 0.6728 | 0.6256 | 0.7909 |
| No log | 6.2812 | 402 | 0.6306 | 0.6947 | 0.6306 | 0.7941 |
| No log | 6.3125 | 404 | 0.7042 | 0.6744 | 0.7042 | 0.8392 |
| No log | 6.3438 | 406 | 0.7210 | 0.6744 | 0.7210 | 0.8491 |
| No log | 6.375 | 408 | 0.6806 | 0.6744 | 0.6806 | 0.8250 |
| No log | 6.4062 | 410 | 0.6391 | 0.6872 | 0.6391 | 0.7994 |
| No log | 6.4375 | 412 | 0.6724 | 0.6031 | 0.6724 | 0.8200 |
| No log | 6.4688 | 414 | 0.7044 | 0.5872 | 0.7044 | 0.8393 |
| No log | 6.5 | 416 | 0.7315 | 0.5607 | 0.7315 | 0.8553 |
| No log | 6.5312 | 418 | 0.7484 | 0.6125 | 0.7484 | 0.8651 |
| No log | 6.5625 | 420 | 0.7992 | 0.6196 | 0.7992 | 0.8940 |
| No log | 6.5938 | 422 | 0.7984 | 0.6359 | 0.7984 | 0.8935 |
| No log | 6.625 | 424 | 0.7896 | 0.6726 | 0.7896 | 0.8886 |
| No log | 6.6562 | 426 | 0.7472 | 0.6705 | 0.7472 | 0.8644 |
| No log | 6.6875 | 428 | 0.7785 | 0.6769 | 0.7785 | 0.8823 |
| No log | 6.7188 | 430 | 0.8429 | 0.6891 | 0.8429 | 0.9181 |
| No log | 6.75 | 432 | 0.8738 | 0.6667 | 0.8738 | 0.9348 |
| No log | 6.7812 | 434 | 0.8558 | 0.6538 | 0.8558 | 0.9251 |
| No log | 6.8125 | 436 | 0.7265 | 0.7160 | 0.7265 | 0.8523 |
| No log | 6.8438 | 438 | 0.6539 | 0.7455 | 0.6539 | 0.8086 |
| No log | 6.875 | 440 | 0.6268 | 0.7451 | 0.6268 | 0.7917 |
| No log | 6.9062 | 442 | 0.6181 | 0.7284 | 0.6181 | 0.7862 |
| No log | 6.9375 | 444 | 0.6695 | 0.6878 | 0.6695 | 0.8182 |
| No log | 6.9688 | 446 | 0.7827 | 0.6476 | 0.7827 | 0.8847 |
| No log | 7.0 | 448 | 0.8258 | 0.6342 | 0.8258 | 0.9087 |
| No log | 7.0312 | 450 | 0.8114 | 0.6426 | 0.8114 | 0.9008 |
| No log | 7.0625 | 452 | 0.7163 | 0.6805 | 0.7163 | 0.8463 |
| No log | 7.0938 | 454 | 0.6161 | 0.6934 | 0.6161 | 0.7849 |
| No log | 7.125 | 456 | 0.6470 | 0.7226 | 0.6470 | 0.8044 |
| No log | 7.1562 | 458 | 0.6786 | 0.6985 | 0.6786 | 0.8238 |
| No log | 7.1875 | 460 | 0.6334 | 0.7421 | 0.6334 | 0.7958 |
| No log | 7.2188 | 462 | 0.6365 | 0.6804 | 0.6365 | 0.7978 |
| No log | 7.25 | 464 | 0.7577 | 0.6635 | 0.7577 | 0.8705 |
| No log | 7.2812 | 466 | 0.8766 | 0.6430 | 0.8766 | 0.9363 |
| No log | 7.3125 | 468 | 0.8912 | 0.6263 | 0.8912 | 0.9440 |
| No log | 7.3438 | 470 | 0.7895 | 0.6407 | 0.7895 | 0.8886 |
| No log | 7.375 | 472 | 0.6998 | 0.6573 | 0.6998 | 0.8366 |
| No log | 7.4062 | 474 | 0.6858 | 0.6501 | 0.6858 | 0.8281 |
| No log | 7.4375 | 476 | 0.7018 | 0.6308 | 0.7018 | 0.8377 |
| No log | 7.4688 | 478 | 0.7546 | 0.625 | 0.7546 | 0.8687 |
| No log | 7.5 | 480 | 0.8648 | 0.5909 | 0.8648 | 0.9300 |
| No log | 7.5312 | 482 | 0.8987 | 0.5824 | 0.8987 | 0.9480 |
| No log | 7.5625 | 484 | 0.8021 | 0.6396 | 0.8021 | 0.8956 |
| No log | 7.5938 | 486 | 0.7052 | 0.6511 | 0.7052 | 0.8398 |
| No log | 7.625 | 488 | 0.6642 | 0.6772 | 0.6642 | 0.8150 |
| No log | 7.6562 | 490 | 0.6767 | 0.6731 | 0.6767 | 0.8226 |
| No log | 7.6875 | 492 | 0.6735 | 0.6711 | 0.6735 | 0.8207 |
| No log | 7.7188 | 494 | 0.6407 | 0.7163 | 0.6407 | 0.8004 |
| No log | 7.75 | 496 | 0.6323 | 0.7281 | 0.6323 | 0.7951 |
| No log | 7.7812 | 498 | 0.6597 | 0.7063 | 0.6597 | 0.8122 |
| 0.3982 | 7.8125 | 500 | 0.6473 | 0.7126 | 0.6473 | 0.8045 |
| 0.3982 | 7.8438 | 502 | 0.6492 | 0.6991 | 0.6492 | 0.8058 |
| 0.3982 | 7.875 | 504 | 0.6483 | 0.6926 | 0.6483 | 0.8052 |
| 0.3982 | 7.9062 | 506 | 0.6395 | 0.7138 | 0.6395 | 0.7997 |
| 0.3982 | 7.9375 | 508 | 0.6308 | 0.7258 | 0.6308 | 0.7943 |
| 0.3982 | 7.9688 | 510 | 0.6314 | 0.7091 | 0.6314 | 0.7946 |
| 0.3982 | 8.0 | 512 | 0.6329 | 0.7054 | 0.6329 | 0.7956 |
| 0.3982 | 8.0312 | 514 | 0.6614 | 0.6854 | 0.6614 | 0.8133 |
| 0.3982 | 8.0625 | 516 | 0.8012 | 0.6656 | 0.8012 | 0.8951 |
| 0.3982 | 8.0938 | 518 | 0.9344 | 0.6714 | 0.9344 | 0.9666 |
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_run2_AugV5_k13_task1_organization
Base model
aubmindlab/bert-base-arabertv02